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Liqiang Jing, Xuemeng Song, Xuming Lin, Zhongzhou Zhao, Wei Zhou, Liqiang Nie: Stylized Data-to-text Generation: A Case Study in the E-Commerce Domain. ACM Trans. Inf. Syst. 42(1): 25:1-25:24 (2024)
Meng Liu, Liqiang Nie, Yunxiao Wang, Meng Wang, Yong Rui: A Survey on Video Moment Localization. ACM Comput. Surv. 55(9): 188:1-188:37 (2023)
Shengping Zhang, Chenyang Wang, Liqiang Nie, Hongxun Yao, Qingming Huang, Qi Tian: Learning Enriched Hop-Aware Correlation for Robust 3D Human Pose Estimation. Int. J. Comput. Vis. 131(6): 1566-1583 (2023)
Shengping Zhang, Xianzhu Liu, Haozhe Xie, Liqiang Nie, Huiyu Zhou, Dacheng Tao, Xuelong Li: Learning Geometric Transformation for Point Cloud Completion. Int. J. Comput. Vis. 131(9): 2425-2445 (2023)
Shengping Zhang, Chenyang Wang, Liqiang Nie, Hongxun Yao, Qingming Huang, Qi Tian: Correction to: Learning Enriched Hop-Aware Correlation for Robust 3D Human Pose Estimation. Int. J. Comput. Vis. 131(11): 3119 (2023)
Haoyu Zhang, Meng Liu, Yuhong Li, Ming Yan, Zan Gao, Xiaojun Chang, Liqiang Nie: Attribute-Guided Collaborative Learning for Partial Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14144-14160 (2023)
Benhui Wang, Huaxiang Zhang, Lei Zhu, Liqiang Nie, Li Liu: Multi-level adversarial attention cross-modal hashing. Signal Process. Image Commun. 117: 117017 (2023)
Fangkai Jiao, Yangyang Guo, Minlie Huang, Liqiang Nie: Enhanced Multi-Domain Dialogue State Tracker With Second-Order Slot Interactions. IEEE ACM Trans. Audio Speech Lang. Process. 31: 265-276 (2023)
Liqiang Nie, Jianlong Wu, Nicu Sebe, Kiyoharu Aizawa: Guest Editorial Introduction to the Special Issue on Video Transformers. IEEE Trans. Circuits Syst. Video Technol. 33(9): 4448-4451 (2023)
Xiangyu Zeng, Mingzhu Xu, Yijun Hu, Haoyu Tang, Yupeng Hu, Liqiang Nie: Adaptive Edge-Aware Semantic Interaction Network for Salient Object Detection in Optical Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023)
Jianlong Wu, Wei Sun, Tian Gan, Ning Ding, Feijun Jiang, Jialie Shen, Liqiang Nie: Neighbor-Guided Consistent and Contrastive Learning for Semi-Supervised Action Recognition. IEEE Trans. Image Process. 32: 2215-2227 (2023)
Zhenyang Li, Yangyang Guo, Kejie Wang, Yinwei Wei, Liqiang Nie, Mohan S. Kankanhalli: Joint Answering and Explanation for Visual Commonsense Reasoning. IEEE Trans. Image Process. 32: 3836-3846 (2023)
Yudong Han, Jianhua Yin, Jianlong Wu, Yinwei Wei, Liqiang Nie: Semantic-Aware Modular Capsule Routing for Visual Question Answering. IEEE Trans. Image Process. 32: 5537-5549 (2023)
Zhicheng Sheng, Liqiang Nie, Meng Liu, Yinwei Wei, Zan Gao: Toward Fine-Grained Talking Face Generation. IEEE Trans. Image Process. 32: 5794-5807 (2023)
Han Liu, Yinwei Wei, Jianhua Yin, Liqiang Nie: HS-GCN: Hamming Spatial Graph Convolutional Networks for Recommendation. IEEE Trans. Knowl. Data Eng. 35(6): 5977-5990 (2023)
Junxiang Bing, Meng Chen, Min Yang, Weiming Huang, Yongshun Gong, Liqiang Nie: Pre-Trained Semantic Embeddings for POI Categories Based on Multiple Contexts. IEEE Trans. Knowl. Data Eng. 35(9): 8893-8904 (2023)
Xuemeng Song, Chun Wang, Changchang Sun, Shanshan Feng, Min Zhou, Liqiang Nie: MM-FRec: Multi-Modal Enhanced Fashion Item Recommendation. IEEE Trans. Knowl. Data Eng. 35(10): 10072-10084 (2023)
Jingyong Su, Junyao Ye, Liqiang Nie, Yilong Cao, Yongyong Chen: Optimizing Spaced Repetition Schedule by Capturing the Dynamics of Memory. IEEE Trans. Knowl. Data Eng. 35(10): 10085-10097 (2023)
Linmei Hu, Ziwei Chen, Ziwang Zhao, Jianhua Yin, Liqiang Nie: Causal Inference for Leveraging Image-Text Matching Bias in Multi-Modal Fake News Detection. IEEE Trans. Knowl. Data Eng. 35(11): 11141-11152 (2023)
Yinwei Wei, Xiang Wang, Liqiang Nie, Shaoyu Li, Dingxian Wang, Tat-Seng Chua: Causal Inference for Knowledge Graph Based Recommendation. IEEE Trans. Knowl. Data Eng. 35(11): 11153-11164 (2023)
Teng Sun, Liqiang Jing, Yinwei Wei, Xuemeng Song, Zhiyong Cheng, Liqiang Nie: Dual Consistency-Enhanced Semi-Supervised Sentiment Analysis Towards COVID-19 Tweets. IEEE Trans. Knowl. Data Eng. 35(12): 12605-12617 (2023)
Wei Lu, Desheng Li, Liqiang Nie, Peiguang Jing, Yuting Su: Learning Dual Low-Rank Representation for Multi-Label Micro-Video Classification. IEEE Trans. Multim. 25: 77-89 (2023)
Xuemeng Song, Shi-Ting Fang, Xiaolin Chen, Yinwei Wei, Zhongzhou Zhao, Liqiang Nie: Modality-Oriented Graph Learning Toward Outfit Compatibility Modeling. IEEE Trans. Multim. 25: 856-867 (2023)
Qifan Wang, Yinwei Wei, Jianhua Yin, Jianlong Wu, Xuemeng Song, Liqiang Nie: DualGNN: Dual Graph Neural Network for Multimedia Recommendation. IEEE Trans. Multim. 25: 1074-1084 (2023)
Yuting Su, Wei Zhao, Peiguang Jing, Liqiang Nie: Exploiting Low-Rank Latent Gaussian Graphical Model Estimation for Visual Sentiment Distributions. IEEE Trans. Multim. 25: 1243-1255 (2023)
Shaokun Wang, Tian Gan, Yuan Liu, Jianlong Wu, Yuan Cheng, Liqiang Nie: Micro-Influencer Recommendation by Multi-Perspective Account Representation Learning. IEEE Trans. Multim. 25: 2749-2760 (2023)
Yaxin Liu, Jianlong Wu, Leigang Qu, Tian Gan, Jianhua Yin, Liqiang Nie: Self-Supervised Correlation Learning for Cross-Modal Retrieval. IEEE Trans. Multim. 25: 2851-2863 (2023)
Yunxiao Wang, Meng Liu, Yinwei Wei, Zhiyong Cheng, Yinglong Wang, Liqiang Nie: Siamese Alignment Network for Weakly Supervised Video Moment Retrieval. IEEE Trans. Multim. 25: 3921-3933 (2023)
Xianjing Han, Xuemeng Song, Xingning Dong, Yinwei Wei, Meng Liu, Liqiang Nie: DBiased-P: Dual-Biased Predicate Predictor for Unbiased Scene Graph Generation. IEEE Trans. Multim. 25: 5319-5329 (2023)
Fan Liu, Huilin Chen, Zhiyong Cheng, Anan Liu, Liqiang Nie, Mohan S. Kankanhalli: Disentangled Multimodal Representation Learning for Recommendation. IEEE Trans. Multim. 25: 7149-7159 (2023)
Ronghui Xu, Meng Chen, Yongshun Gong, Yang Liu, Xiaohui Yu, Liqiang Nie: TME: Tree-guided Multi-task Embedding Learning towards Semantic Venue Annotation. ACM Trans. Inf. Syst. 41(4): 112:1-112:24 (2023)
Na Zheng, Xuemeng Song, Tianyu Su, Weifeng Liu, Yan Yan, Liqiang Nie: Egocentric Early Action Prediction via Adversarial Knowledge Distillation. ACM Trans. Multim. Comput. Commun. Appl. 19(2): 59:1-59:21 (2023)
Yangyang Guo, Liqiang Nie, Harry Cheng, Zhiyong Cheng, Mohan S. Kankanhalli, Alberto Del Bimbo: On Modality Bias Recognition and Reduction. ACM Trans. Multim. Comput. Commun. Appl. 19(3): 103:1-103:22 (2023)
Hui Liu, Shanshan Li, Jicheng Zhu, Kai Deng, Meng Liu, Liqiang Nie: DDIFN: A Dual-discriminator Multi-modal Medical Image Fusion Network. ACM Trans. Multim. Comput. Commun. Appl. 19(4): 145:1-145:17 (2023)
Yang Qiao, Liqiang Jing, Xuemeng Song, Xiaolin Chen, Lei Zhu, Liqiang Nie: Mutual-Enhanced Incongruity Learning Network for Multi-Modal Sarcasm Detection. AAAI 2023: 9507-9515
Ziwei Chen, Linmei Hu, Weixin Li, Yingxia Shao, Liqiang Nie: Causal Intervention and Counterfactual Reasoning for Multi-modal Fake News Detection. ACL (1) 2023: 627-638
Haozhe Yang, Xianqiang Gao, Jianlong Wu, Tian Gan, Ning Ding, Feijun Jiang, Liqiang Nie: Self-adaptive Context and Modal-interaction Modeling For Multimodal Emotion Recognition. ACL (Findings) 2023: 6267-6281
Liqiang Jing, Xuemeng Song, Kun Ouyang, Mengzhao Jia, Liqiang Nie: Multi-source Semantic Graph-based Multimodal Sarcasm Explanation Generation. ACL (1) 2023: 11349-11361
Tian Gan, Qing Wang, Xingning Dong, Xiangyuan Ren, Liqiang Nie, Qingpei Guo: CNVid-3.5M: Build, Filter, and Pre-Train the Large-Scale Public Chinese Video-Text Dataset. CVPR 2023: 14815-14824
Jianlong Wu, Haozhe Yang, Tian Gan, Ning Ding, Feijun Jiang, Liqiang Nie: CHMATCH: Contrastive Hierarchical Matching and Robust Adaptive Threshold Boosted Semi-Supervised Learning. CVPR 2023: 15762-15772
Yangyang Guo, Zhiyong Cheng, Jiazheng Jing, Yanpeng Lin, Liqiang Nie, Meng Wang: Enhancing Factorization Machines with Generalized Metric Learning (Extended Abstract). ICDE 2023: 3755-3756
Bin Wu, Xiangnan He, Yu Chen, Liqiang Nie, Kai Zheng, Yangdong Ye: Modeling Product's Visual and Functional Characteristics for Recommender Systems (Extended Abstract). ICDE 2023: 3837-3838
Shengping Zhang, Quanling Meng, Qinglin Liu, Liqiang Nie, Bineng Zhong, Xiaopeng Fan, Rongrong Ji: Interactive Object Placement with Reinforcement Learning. ICML 2023: 41510-41522
Yang Bai, Min Cao, Daming Gao, Ziqiang Cao, Chen Chen, Zhenfeng Fan, Liqiang Nie, Min Zhang: RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Search. IJCAI 2023: 555-563
Xiao Wang, Yaoyu Li, Tian Gan, Zheng Zhang, Jingjing Lv, Liqiang Nie: RTQ: Rethinking Video-language Understanding Based on Image-text Model. ACM Multimedia 2023: 557-566
Leigang Qu, Shengqiong Wu, Hao Fei, Liqiang Nie, Tat-Seng Chua: LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image Generation. ACM Multimedia 2023: 643-654
Yang Bai, Jingyao Wang, Min Cao, Chen Chen, Ziqiang Cao, Liqiang Nie, Min Zhang: Text-based Person Search without Parallel Image-Text Data. ACM Multimedia 2023: 757-767
Peiguang Jing, Xianyi Liu, Ji Wang, Yinwei Wei, Liqiang Nie, Yuting Su: StyleEDL: Style-Guided High-order Attention Network for Image Emotion Distribution Learning. ACM Multimedia 2023: 853-861
Haokun Wen, Xian Zhang, Xuemeng Song, Yinwei Wei, Liqiang Nie: Target-Guided Composed Image Retrieval. ACM Multimedia 2023: 915-923
Xiaojie Li, Shaowei He, Jianlong Wu, Yue Yu, Liqiang Nie, Min Zhang: Mask Again: Masked Knowledge Distillation for Masked Video Modeling. ACM Multimedia 2023: 2221-2232
Xiaojie Li, Jianlong Wu, Shaowei He, Shuo Kang, Yue Yu, Liqiang Nie, Min Zhang: Fine-grained Key-Value Memory Enhanced Predictor for Video Representation Learning. ACM Multimedia 2023: 2264-2274
Meng Liu, Fenglei Zhang, Xin Luo, Fan Liu, Yinwei Wei, Liqiang Nie: Advancing Video Question Answering with a Multi-modal and Multi-layer Question Enhancement Network. ACM Multimedia 2023: 3985-3993
Tian Gan, Xiao Wang, Yan Sun, Jianlong Wu, Qingpei Guo, Liqiang Nie: Temporal Sentence Grounding in Streaming Videos. ACM Multimedia 2023: 4637-4646
Zhenyang Li, Yangyang Guo, Kejie Wang, Xiaolin Chen, Liqiang Nie, Mohan S. Kankanhalli: Do Vision-Language Transformers Exhibit Visual Commonsense? An Empirical Study of VCR. ACM Multimedia 2023: 5634-5644
Teng Sun, Juntong Ni, Wenjie Wang, Liqiang Jing, Yinwei Wei, Liqiang Nie: General Debiasing for Multimodal Sentiment Analysis. ACM Multimedia 2023: 5861-5869
Yunxiao Wang, Meng Liu, Zhe Li, Yupeng Hu, Xin Luo, Liqiang Nie: Unlocking the Power of Multimodal Learning for Emotion Recognition in Conversation. ACM Multimedia 2023: 5947-5955
Fan Liu, Huilin Chen, Zhiyong Cheng, Liqiang Nie, Mohan S. Kankanhalli: Semantic-Guided Feature Distillation for Multimodal Recommendation. ACM Multimedia 2023: 6567-6575
Harry Cheng, Yangyang Guo, Liqiang Nie, Zhiyong Cheng, Mohan S. Kankanhalli: Sample Less, Learn More: Efficient Action Recognition via Frame Feature Restoration. ACM Multimedia 2023: 7101-7110
Meng Liu, Yongqiang Li, Shuyan Zhai, Weili Guan, Liqiang Nie: Towards Realistic Conversational Head Generation: A Comprehensive Framework for Lifelike Video Synthesis. ACM Multimedia 2023: 9441-9445
Dengtian Lin, Liqiang Jing, Xuemeng Song, Meng Liu, Teng Sun, Liqiang Nie: Adapting Generative Pretrained Language Model for Open-domain Multimodal Sentence Summarization. SIGIR 2023: 195-204
Yinwei Wei, Xiaohao Liu, Yunshan Ma, Xiang Wang, Liqiang Nie, Tat-Seng Chua: Strategy-aware Bundle Recommender System. SIGIR 2023: 1198-1207
Leigang Qu, Meng Liu, Wenjie Wang, Zhedong Zheng, Liqiang Nie, Tat-Seng Chua: Learnable Pillar-based Re-ranking for Image-Text Retrieval. SIGIR 2023: 1252-1261
Yinwei Wei, Wenqi Liu, Fan Liu, Xiang Wang, Liqiang Nie, Tat-Seng Chua: LightGT: A Light Graph Transformer for Multimedia Recommendation. SIGIR 2023: 1508-1517
Xiaolin Chen, Xuemeng Song, Yinwei Wei, Liqiang Nie, Tat-Seng Chua: Dual Semantic Knowledge Composed Multimodal Dialog Systems. SIGIR 2023: 1518-1527
Dengtian Lin, Yang Ma, Yuhong Li, Xuemeng Song, Jianlong Wu, Liqiang Nie: OFAR: A Multimodal Evidence Retrieval Framework for Illegal Live-streaming Identification. SIGIR 2023: 3410-3414
Yali Du, Yinwei Wei, Wei Ji, Fan Liu, Xin Luo, Liqiang Nie: Multi-queue Momentum Contrast for Microvideo-Product Retrieval. WSDM 2023: 1003-1011
Han Liu, Yinwei Wei, Jianhua Yin, Liqiang Nie: HS-GCN: Hamming Spatial Graph Convolutional Networks for Recommendation. CoRR abs/2301.05430 (2023)
Zhenyang Li, Yangyang Guo, Kejie Wang, Fan Liu, Liqiang Nie, Mohan S. Kankanhalli: Learning to Agree on Vision Attention for Visual Commonsense Reasoning. CoRR abs/2302.02117 (2023)
Min Cao, Yang Bai, Jingyao Wang, Ziqiang Cao, Liqiang Nie, Min Zhang: Efficient Image-Text Retrieval via Keyword-Guided Pre-Screening. CoRR abs/2303.07740 (2023)
Xiao Wang, Tian Gan, Yinwei Wei, Jianlong Wu, Dai Meng, Liqiang Nie: Micro-video Tagging via Jointly Modeling Social Influence and Tag Relation. CoRR abs/2303.08318 (2023)
Chengliang Liu, Jie Wen, Yong Xu, Liqiang Nie, Min Zhang: Learning Reliable Representations for Incomplete Multi-View Partial Multi-Label Classification. CoRR abs/2303.17117 (2023)
Qinglin Liu, Shengping Zhang, Quanling Meng, Ru Li, Bineng Zhong, Liqiang Nie: Rethinking Context Aggregation in Natural Image Matting. CoRR abs/2304.01171 (2023)
Leigang Qu, Meng Liu, Wenjie Wang, Zhedong Zheng, Liqiang Nie, Tat-Seng Chua: Learnable Pillar-based Re-ranking for Image-Text Retrieval. CoRR abs/2304.12570 (2023)
Dengtian Lin, Yang Ma, Yuhong Li, Xuemeng Song, Jianlong Wu, Liqiang Nie: OFAR: A Multimodal Evidence Retrieval Framework for Illegal Live-streaming Identification. CoRR abs/2304.12608 (2023)
Rui Hao, Linmei Hu, Weijian Qi, Qingliu Wu, Yirui Zhang, Liqiang Nie: ChatLLM Network: More brains, More intelligence. CoRR abs/2304.12998 (2023)
Liqiang Jing, Xuemeng Song, Xuming Lin, Zhongzhou Zhao, Wei Zhou, Liqiang Nie: Stylized Data-to-Text Generation: A Case Study in the E-Commerce Domain. CoRR abs/2305.03256 (2023)
Haokun Wen, Xuemeng Song, Jianhua Yin, Jianlong Wu, Weili Guan, Liqiang Nie: Self-Training Boosted Multi-Faceted Matching Network for Composed Image Retrieval. CoRR abs/2305.09979 (2023)
Xiaolin Chen, Xuemeng Song, Yinwei Wei, Liqiang Nie, Tat-Seng Chua: Dual Semantic Knowledge Composed Multimodal Dialog Systems. CoRR abs/2305.09990 (2023)
Yang Bai, Jingyao Wang, Min Cao, Chen Chen, Ziqiang Cao, Liqiang Nie, Min Zhang: Text-based Person Search without Parallel Image-Text Data. CoRR abs/2305.12964 (2023)
Yang Bai, Min Cao, Daming Gao, Ziqiang Cao, Chen Chen, Zhenfeng Fan, Liqiang Nie, Min Zhang: RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Search. CoRR abs/2305.13653 (2023)
Rui Shao, Tianxing Wu, Liqiang Nie, Ziwei Liu: DeepFake-Adapter: Dual-Level Adapter for DeepFake Detection. CoRR abs/2306.00863 (2023)
Meng Liu, Liqiang Nie, Yunxiao Wang, Meng Wang, Yong Rui: A Survey on Video Moment Localization. CoRR abs/2306.07515 (2023)
Liqiang Jing, Xuemeng Song, Kun Ouyang, Mengzhao Jia, Liqiang Nie: Multi-source Semantic Graph-based Multimodal Sarcasm Explanation Generation. CoRR abs/2306.16650 (2023)
Teng Sun, Juntong Ni, Wenjie Wang, Liqiang Jing, Yinwei Wei, Liqiang Nie: General Debiasing for Multimodal Sentiment Analysis. CoRR abs/2307.10511 (2023)
Harry Cheng, Yangyang Guo, Tianyi Wang, Liqiang Nie, Mohan S. Kankanhalli: Towards Generalizable Deepfake Detection by Primary Region Regularization. CoRR abs/2307.12534 (2023)
Harry Cheng, Yangyang Guo, Liqiang Nie, Zhiyong Cheng, Mohan S. Kankanhalli: Sample Less, Learn More: Efficient Action Recognition via Frame Feature Restoration. CoRR abs/2307.14866 (2023)
Peiguang Jing, Xianyi Liu, Ji Wang, Yinwei Wei, Liqiang Nie, Yuting Su: StyleEDL: Style-Guided High-order Attention Network for Image Emotion Distribution Learning. CoRR abs/2308.03000 (2023)
Fan Liu, Huilin Chen, Zhiyong Cheng, Liqiang Nie, Mohan S. Kankanhalli: Semantic-Guided Feature Distillation for Multimodal Recommendation. CoRR abs/2308.03113 (2023)
Leigang Qu, Shengqiong Wu, Hao Fei, Liqiang Nie, Tat-Seng Chua: LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image Generation. CoRR abs/2308.05095 (2023)
Tian Gan, Xiao Wang, Yan Sun, Jianlong Wu, Qingpei Guo, Liqiang Nie: Temporal Sentence Grounding in Streaming Videos. CoRR abs/2308.07102 (2023)
Zhonghua Zheng, Lizi Liao, Yang Deng, Liqiang Nie: Building Emotional Support Chatbots in the Era of LLMs. CoRR abs/2308.11584 (2023)
Haokun Wen, Xian Zhang, Xuemeng Song, Yinwei Wei, Liqiang Nie: Target-Guided Composed Image Retrieval. CoRR abs/2309.01366 (2023)
Rui Shao, Tianxing Wu, Jianlong Wu, Liqiang Nie, Ziwei Liu: Detecting and Grounding Multi-Modal Media Manipulation and Beyond. CoRR abs/2309.14203 (2023)
Yangyang Guo, Haoyu Zhang, Liqiang Nie, Yongkang Wong, Mohan S. Kankanhalli: ELIP: Efficient Language-Image Pre-training with Fewer Vision Tokens. CoRR abs/2309.16738 (2023)
Haoyu Zhang, Meng Liu, Yaowei Wang, Da Cao, Weili Guan, Liqiang Nie: Uncovering Hidden Connections: Iterative Tracking and Reasoning for Video-grounded Dialog. CoRR abs/2310.07259 (2023)
Yanyang Guo, Fangkai Jiao, Zhiqi Shen, Liqiang Nie, Mohan S. Kankanhalli: UNK-VQA: A Dataset and A Probe into Multi-modal Large Models' Abstention Ability. CoRR abs/2310.10942 (2023)
Mengxia Wu, Min Cao, Yang Bai, Ziyin Zeng, Chen Chen, Liqiang Nie, Min Zhang: An Empirical Study of Frame Selection for Text-to-Video Retrieval. CoRR abs/2311.00298 (2023)
Gongwei Chen, Leyang Shen, Rui Shao, Xiang Deng, Liqiang Nie: LION : Empowering Multimodal Large Language Model with Dual-Level Visual Knowledge. CoRR abs/2311.11860 (2023)
Harry Cheng, Lizi Liao, Linmei Hu, Liqiang Nie: Multi-Relation Extraction via A Global-Local Graph Convolutional Network. IEEE Trans. Big Data 8(6): 1716-1728 (2022)
Xinfeng Dong, Li Liu, Lei Zhu, Liqiang Nie, Huaxiang Zhang: Adversarial Graph Convolutional Network for Cross-Modal Retrieval. IEEE Trans. Circuits Syst. Video Technol. 32(3): 1634-1645 (2022)
Xinfeng Dong, Huaxiang Zhang, Lei Zhu, Liqiang Nie, Li Liu: Hierarchical Feature Aggregation Based on Transformer for Image-Text Matching. IEEE Trans. Circuits Syst. Video Technol. 32(9): 6437-6447 (2022)
Xianjing Han, Xingning Dong, Xuemeng Song, Tian Gan, Yibing Zhan, Yan Yan, Liqiang Nie: Divide-and-Conquer Predictor for Unbiased Scene Graph Generation. IEEE Trans. Circuits Syst. Video Technol. 32(12): 8611-8622 (2022)
Yangyang Guo, Liqiang Nie, Zhiyong Cheng, Qi Tian, Min Zhang: Loss Re-Scaling VQA: Revisiting the Language Prior Problem From a Class-Imbalance View. IEEE Trans. Image Process. 31: 227-238 (2022)
Weili Guan, Haokun Wen, Xuemeng Song, Chun Wang, Chung-Hsing Yeh, Xiaojun Chang, Liqiang Nie: Partially Supervised Compatibility Modeling. IEEE Trans. Image Process. 31: 4733-4745 (2022)
Bin Wu, Xiangnan He, Yun Chen, Liqiang Nie, Kai Zheng, Yangdong Ye: Modeling Product's Visual and Functional Characteristics for Recommender Systems. IEEE Trans. Knowl. Data Eng. 34(3): 1330-1343 (2022)
Yangyang Guo, Zhiyong Cheng, Jiazheng Jing, Yanpeng Lin, Liqiang Nie, Meng Wang: Enhancing Factorization Machines With Generalized Metric Learning. IEEE Trans. Knowl. Data Eng. 34(8): 3740-3753 (2022)
Fan Liu, Zhiyong Cheng, Lei Zhu, Chenghao Liu, Liqiang Nie: An Attribute-Aware Attentive GCN Model for Attribute Missing in Recommendation. IEEE Trans. Knowl. Data Eng. 34(9): 4077-4088 (2022)
Peiguang Jing, Jing Zhang, Liqiang Nie, Shu Ye, Jing Liu, Yuting Su: Tripartite Graph Regularized Latent Low-Rank Representation for Fashion Compatibility Prediction. IEEE Trans. Multim. 24: 1277-1287 (2022)
Shaokun Wang, Tian Gan, Yuan Liu, Li Zhang, Jianlong Wu, Liqiang Nie: Discover Micro-Influencers for Brands via Better Understanding. IEEE Trans. Multim. 24: 2595-2605 (2022)
Yinwei Wei, Xiang Wang, Xiangnan He, Liqiang Nie, Yong Rui, Tat-Seng Chua: Hierarchical User Intent Graph Network for Multimedia Recommendation. IEEE Trans. Multim. 24: 2701-2712 (2022)
Xiao Zhang, Meng Liu, Jianhua Yin, Zhaochun Ren, Liqiang Nie: Question Tagging via Graph-guided Ranking. ACM Trans. Inf. Syst. 40(1): 12:1-12:23 (2022)
Lei Zhu, Chaoqun Zheng, Xu Lu, Zhiyong Cheng, Liqiang Nie, Huaxiang Zhang: Efficient Multi-modal Hashing with Online Query Adaption for Multimedia Retrieval. ACM Trans. Inf. Syst. 40(2): 41:1-41:36 (2022)
Zhiyong Cheng, Fan Liu, Shenghan Mei, Yangyang Guo, Lei Zhu, Liqiang Nie: Feature-Level Attentive ICF for Recommendation. ACM Trans. Inf. Syst. 40(4): 75:1-75:24 (2022)
Yongqi Li, Wenjie Li, Liqiang Nie: Dynamic Graph Reasoning for Conversational Open-Domain Question Answering. ACM Trans. Inf. Syst. 40(4): 82:1-82:24 (2022)
Teng Sun, Chun Wang, Xuemeng Song, Fuli Feng, Liqiang Nie: Response Generation by Jointly Modeling Personalized Linguistic Styles and Emotions. ACM Trans. Multim. Comput. Commun. Appl. 18(2): 52:1-52:20 (2022)
Yibing Liu, Yangyang Guo, Jianhua Yin, Xuemeng Song, Weifeng Liu, Liqiang Nie, Min Zhang: Answer Questions with Right Image Regions: A Visual Attention Regularization Approach. ACM Trans. Multim. Comput. Commun. Appl. 18(4): 93:1-93:18 (2022)
Fangkai Jiao, Yangyang Guo, Xuemeng Song, Liqiang Nie: MERIt: Meta-Path Guided Contrastive Learning for Logical Reasoning. ACL (Findings) 2022: 3496-3509
Yongqi Li, Wenjie Li, Liqiang Nie: MMCoQA: Conversational Question Answering over Text, Tables, and Images. ACL (1) 2022: 4220-4231
Xingning Dong, Tian Gan, Xuemeng Song, Jianlong Wu, Yuan Cheng, Liqiang Nie: Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation. CVPR 2022: 19405-19414
Yuzhang Shang, Dan Xu, Ziliang Zong, Liqiang Nie, Yan Yan: Network Binarization via Contrastive Learning. ECCV (11) 2022: 586-602
Yuzhang Shang, Dan Xu, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan: Lipschitz Continuity Retained Binary Neural Network. ECCV (11) 2022: 603-619
Yuzhang Shang, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan: Win The Lottery Ticket Via Fourier Analysis: Frequencies Guided Network Pruning. ICASSP 2022: 4203-4207
Min Cao, Shiping Li, Juntao Li, Liqiang Nie, Min Zhang: Image-text Retrieval: A Survey on Recent Research and Development. IJCAI 2022: 5410-5417
Teng Sun, Wenjie Wang, Liqiang Jing, Yiran Cui, Xuemeng Song, Liqiang Nie: Counterfactual Reasoning for Out-of-distribution Multimodal Sentiment Analysis. ACM Multimedia 2022: 15-23
Yangyang Guo, Liqiang Nie, Yongkang Wong, Yibing Liu, Zhiyong Cheng, Mohan S. Kankanhalli: A Unified End-to-End Retriever-Reader Framework for Knowledge-based VQA. ACM Multimedia 2022: 2061-2069
Liqiang Nie, Leigang Qu, Dai Meng, Min Zhang, Qi Tian, Alberto Del Bimbo: Search-oriented Micro-video Captioning. ACM Multimedia 2022: 3234-3243
Xiao Wang, Tian Gan, Yinwei Wei, Jianlong Wu, Dai Meng, Liqiang Nie: Micro-video Tagging via Jointly Modeling Social Influence and Tag Relation. ACM Multimedia 2022: 4478-4486
Meng Liu, Shuyan Zhai, Yongqiang Li, Weili Guan, Liqiang Nie: A Baseline for ViCo Conversational Head Generation Challenge. ACM Multimedia 2022: 7013-7015
Xuemeng Song, Liqiang Jing, Dengtian Lin, Zhongzhou Zhao, Haiqing Chen, Liqiang Nie: V2P: Vision-to-Prompt based Multi-Modal Product Summary Generation. SIGIR 2022: 992-1001
Wenjie Wang, Fuli Feng, Liqiang Nie, Tat-Seng Chua: User-controllable Recommendation Against Filter Bubbles. SIGIR 2022: 1251-1261
Fan Liu, Zhiyong Cheng, Huilin Chen, Yinwei Wei, Liqiang Nie, Mohan S. Kankanhalli: Privacy-Preserving Synthetic Data Generation for Recommendation Systems. SIGIR 2022: 1379-1389
Yuzhang Shang, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan: Win the Lottery Ticket via Fourier Analysis: Frequencies Guided Network Pruning. CoRR abs/2201.12712 (2022)
Zhenyang Li, Yangyang Guo, Kejie Wang, Yinwei Wei, Liqiang Nie, Mohan S. Kankanhalli: Joint Answering and Explanation for Visual Commonsense Reasoning. CoRR abs/2202.12626 (2022)
Yangyang Guo, Liqiang Nie, Harry Cheng, Zhiyong Cheng, Mohan S. Kankanhalli, Alberto Del Bimbo: On Modality Bias Recognition and Reduction. CoRR abs/2202.12690 (2022)
Fangkai Jiao, Yangyang Guo, Xuemeng Song, Liqiang Nie: MERIt: Meta-Path Guided Contrastive Learning for Logical Reasoning. CoRR abs/2203.00357 (2022)
Fan Liu, Zhiyong Cheng, Huilin Chen, Anan Liu, Liqiang Nie, Mohan S. Kankanhalli: Disentangled Multimodal Representation Learning for Recommendation. CoRR abs/2203.05406 (2022)
Xingning Dong, Tian Gan, Xuemeng Song, Jianlong Wu, Yuan Cheng, Liqiang Nie: Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation. CoRR abs/2203.09811 (2022)
Min Cao, Shiping Li, Juntao Li, Liqiang Nie, Min Zhang: Image-text Retrieval: A Survey on Recent Research and Development. CoRR abs/2203.14713 (2022)
Wenjie Wang, Fuli Feng, Liqiang Nie, Tat-Seng Chua: User-controllable Recommendation Against Filter Bubbles. CoRR abs/2204.13844 (2022)
Yangyang Guo, Liqiang Nie, Yongkang Wong, Yibing Liu, Zhiyong Cheng, Mohan S. Kankanhalli: A Unified End-to-End Retriever-Reader Framework for Knowledge-based VQA. CoRR abs/2206.14989 (2022)
Yuzhang Shang, Dan Xu, Ziliang Zong, Liqiang Nie, Yan Yan: Network Binarization via Contrastive Learning. CoRR abs/2207.02970 (2022)
Yuzhang Shang, Dan Xu, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan: Lipschitz Continuity Retained Binary Neural Network. CoRR abs/2207.06540 (2022)
Xiaolin Chen, Xuemeng Song, Liqiang Jing, Shuo Li, Linmei Hu, Liqiang Nie: Multimodal Dialog Systems with Dual Knowledge-enhanced Generative Pretrained Language Model. CoRR abs/2207.07934 (2022)
Yudong Han, Jianhua Yin, Jianlong Wu, Yinwei Wei, Liqiang Nie: Semantic-aware Modular Capsule Routing for Visual Question Answering. CoRR abs/2207.10404 (2022)
Teng Sun, Wenjie Wang, Liqiang Jing, Yiran Cui, Xuemeng Song, Liqiang Nie: Counterfactual Reasoning for Out-of-distribution Multimodal Sentiment Analysis. CoRR abs/2207.11652 (2022)
Yudong Han, Liqiang Nie, Jianhua Yin, Jianlong Wu, Yan Yan: Visual Perturbation-aware Collaborative Learning for Overcoming the Language Prior Problem. CoRR abs/2207.11850 (2022)
Tianyi Wang, Harry Cheng, Kam-Pui Chow, Liqiang Nie: Deep Convolutional Pooling Transformer for Deepfake Detection. CoRR abs/2209.05299 (2022)
Fan Liu, Zhiyong Cheng, Huilin Chen, Yinwei Wei, Liqiang Nie, Mohan S. Kankanhalli: Privacy-Preserving Synthetic Data Generation for Recommendation Systems. CoRR abs/2209.13133 (2022)
Linmei Hu, Zeyi Liu, Ziwang Zhao, Lei Hou, Liqiang Nie, Juanzi Li: A Survey of Knowledge-Enhanced Pre-trained Language Models. CoRR abs/2211.05994 (2022)
Linmei Hu, Ziwang Zhao, Xinkai Ge, Xuemeng Song, Liqiang Nie: MMNet: Multi-modal Fusion with Mutual Learning Network for Fake News Detection. CoRR abs/2212.05699 (2022)
Yinwei Wei, Xiang Wang, Liqiang Nie, Shaoyu Li, Dingxian Wang, Tat-Seng Chua: Causal Inference for Knowledge Graph based Recommendation. CoRR abs/2212.10046 (2022)
Yali Du, Yinwei Wei, Wei Ji, Fan Liu, Xin Luo, Liqiang Nie: Multi-queue Momentum Contrast for Microvideo-Product Retrieval. CoRR abs/2212.11471 (2022)
Weifeng Liu, Sichao Fu, Yicong Zhou, Zheng-Jun Zha, Liqiang Nie: Human activity recognition by manifold regularization based dynamic graph convolutional networks. Neurocomputing 444: 217-225 (2021)
Peiguang Jing, Yuting Su, Zhengnan Li, Liqiang Nie: Learning robust affinity graph representation for multi-view clustering. Inf. Sci. 544: 155-167 (2021)
Junyu Lin, Xuemeng Song, Tian Gan, Yiyang Yao, Weifeng Liu, Liqiang Nie: PaintNet: A shape-constrained generative framework for generating clothing from fashion model. Multim. Tools Appl. 80(11): 17183-17203 (2021)
Jianlong Wu, Xingxu Xie, Liqiang Nie, Zhouchen Lin, Hongbin Zha: Reconstruction regularized low-rank subspace learning for cross-modal retrieval. Pattern Recognit. 113: 107813 (2021)
Weili Guan, Xuemeng Song, Tian Gan, Junyu Lin, Xiaojun Chang, Liqiang Nie: Cooperation Learning From Multiple Social Networks: Consistent and Complementary Perspectives. IEEE Trans. Cybern. 51(9): 4501-4514 (2021)
Yupeng Hu, Meng Liu, Xiaobin Su, Zan Gao, Liqiang Nie: Video Moment Localization via Deep Cross-Modal Hashing. IEEE Trans. Image Process. 30: 4667-4677 (2021)
Yupeng Hu, Liqiang Nie, Meng Liu, Kun Wang, Yinglong Wang, Xian-Sheng Hua: Coarse-to-Fine Semantic Alignment for Cross-Modal Moment Localization. IEEE Trans. Image Process. 30: 5933-5943 (2021)
Liqiang Nie, Fangkai Jiao, Wenjie Wang, Yinglong Wang, Qi Tian: Conversational Image Search. IEEE Trans. Image Process. 30: 7732-7743 (2021)
Zongmeng Zhang, Xianjing Han, Xuemeng Song, Yan Yan, Liqiang Nie: Multi-Modal Interaction Graph Convolutional Network for Temporal Language Localization in Videos. IEEE Trans. Image Process. 30: 8265-8277 (2021)
Yongxin Wang, Xin Luo, Liqiang Nie, Jingkuan Song, Wei Zhang, Xin-Shun Xu: BATCH: A Scalable Asymmetric Discrete Cross-Modal Hashing. IEEE Trans. Knowl. Data Eng. 33(11): 3507-3519 (2021)
Peiguang Jing, Yuechen Shang, Liqiang Nie, Yuting Su, Jing Liu, Meng Wang: Learning Low-Rank Sparse Representations With Robust Relationship Inference for Image Memorability Prediction. IEEE Trans. Multim. 23: 2259-2272 (2021)
Yanchao Zhang, Weiqing Min, Liqiang Nie, Shuqiang Jiang: Hybrid-Attention Enhanced Two-Stream Fusion Network for Video Venue Prediction. IEEE Trans. Multim. 23: 2917-2929 (2021)
Xiaolin Chen, Xuemeng Song, Siwei Cui, Tian Gan, Zhiyong Cheng, Liqiang Nie: User Identity Linkage Across Social Media via Attentive Time-Aware User Modeling. IEEE Trans. Multim. 23: 3957-3967 (2021)
Xu Lu, Li Liu, Liqiang Nie, Xiaojun Chang, Huaxiang Zhang: Semantic-Driven Interpretable Deep Multi-Modal Hashing for Large-Scale Multimedia Retrieval. IEEE Trans. Multim. 23: 4541-4554 (2021)
Tianchi Yang, Linmei Hu, Chuan Shi, Houye Ji, Xiaoli Li, Liqiang Nie: HGAT: Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification. ACM Trans. Inf. Syst. 39(3): 32:1-32:29 (2021)
Zhongying Zhao, Yonghao Yang, Chao Li, Liqiang Nie: GuessUNeed: Recommending Courses via Neural Attention Network and Course Prerequisite Relation Embeddings. ACM Trans. Multim. Comput. Commun. Appl. 16(4): 132:1-132:17 (2021)
Weili Guan, Zhaozheng Chen, Fuli Feng, Weifeng Liu, Liqiang Nie: Urban Perception: Sensing Cities via a Deep Interactive Multi-task Learning Framework. ACM Trans. Multim. Comput. Commun. Appl. 17(1s): 13:1-13:20 (2021)
Wenjie Wang, Ling-Yu Duan, Hao Jiang, Peiguang Jing, Xuemeng Song, Liqiang Nie: Market2Dish: Health-aware Food Recommendation. ACM Trans. Multim. Comput. Commun. Appl. 17(1): 33:1-33:19 (2021)
Xin Yang, Xuemeng Song, Fuli Feng, Haokun Wen, Ling-Yu Duan, Liqiang Nie: Attribute-wise Explainable Fashion Compatibility Modeling. ACM Trans. Multim. Comput. Commun. Appl. 17(1): 36:1-36:21 (2021)
Fangkai Jiao, Yangyang Guo, Yilin Niu, Feng Ji, Feng-Lin Li, Liqiang Nie: REPT: Bridging Language Models and Machine Reading Comprehension via Retrieval-Based Pre-training. ACL/IJCNLP (Findings) 2021: 150-163
Huasong Zhong, Jianlong Wu, Chong Chen, Jianqiang Huang, Minghua Deng, Liqiang Nie, Zhouchen Lin, Xian-Sheng Hua: Graph Contrastive Clustering. ICCV 2021: 9204-9213
Yuzhang Shang, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan: Lipschitz Continuity Guided Knowledge Distillation. ICCV 2021: 10655-10664
Yangyang Guo, Liqiang Nie, Zhiyong Cheng, Feng Ji, Ji Zhang, Alberto Del Bimbo: AdaVQA: Overcoming Language Priors with Adapted Margin Cosine Loss. IJCAI 2021: 708-714
Na Zheng, Xuemeng Song, Qingying Niu, Xue Dong, Yibing Zhan, Liqiang Nie: Collocation and Try-on Network: Whether an Outfit is Compatible. ACM Multimedia 2021: 309-317
Haoyu Zhang, Meng Liu, Zan Gao, Xiaoqiang Lei, Yinglong Wang, Liqiang Nie: Multimodal Dialog System: Relational Graph-based Context-aware Question Understanding. ACM Multimedia 2021: 695-703
Xu Lu, Lei Zhu, Li Liu, Liqiang Nie, Huaxiang Zhang: Graph Convolutional Multi-modal Hashing for Flexible Multimedia Retrieval. ACM Multimedia 2021: 1414-1422
Weili Guan, Haokun Wen, Xuemeng Song, Chung-Hsing Yeh, Xiaojun Chang, Liqiang Nie: Multimodal Compatibility Modeling via Exploring the Consistent and Complementary Correlations. ACM Multimedia 2021: 2299-2307
Tianyu Su, Xuemeng Song, Na Zheng, Weili Guan, Yan Li, Liqiang Nie: Complementary Factorization towards Outfit Compatibility Modeling. ACM Multimedia 2021: 4073-4081
Yudong Han, Yangyang Guo, Jianhua Yin, Meng Liu, Yupeng Hu, Liqiang Nie: Focal and Composed Vision-semantic Modeling for Visual Question Answering. ACM Multimedia 2021: 4528-4536
Yinwei Wei, Xiang Wang, Qi Li, Liqiang Nie, Yan Li, Xuanping Li, Tat-Seng Chua: Contrastive Learning for Cold-Start Recommendation. ACM Multimedia 2021: 5382-5390
Ziyang Ma, Xianjing Han, Xuemeng Song, Yiran Cui, Liqiang Nie: Hierarchical Deep Residual Reasoning for Temporal Moment Localization. MMAsia 2021: 15:1-15:7
Federico Becattini, Xuemeng Song, Claudio Baecchi, Shi-Ting Fang, Claudio Ferrari, Liqiang Nie, Alberto Del Bimbo: PLM-IPE: A Pixel-Landmark Mutual Enhanced Framework for Implicit Preference Estimation. MMAsia 2021: 42:1-42:5
Liqiang Nie, Mengzhao Jia, Xuemeng Song, Ganglu Wu, Harry Cheng, Jian Gu: Multimodal Activation: Awakening Dialog Robots without Wake Words. SIGIR 2021: 491-500
Xiaolin Chen, Xuemeng Song, Guozhen Peng, Shanshan Feng, Liqiang Nie: Adversarial-Enhanced Hybrid Graph Network for User Identity Linkage. SIGIR 2021: 1084-1093
Leigang Qu, Meng Liu, Jianlong Wu, Zan Gao, Liqiang Nie: Dynamic Modality Interaction Modeling for Image-Text Retrieval. SIGIR 2021: 1104-1113
Haokun Wen, Xuemeng Song, Xin Yang, Yibing Zhan, Liqiang Nie: Comprehensive Linguistic-Visual Composition Network for Image Retrieval. SIGIR 2021: 1369-1378
Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie, Tat-Seng Chua: Denoising Implicit Feedback for Recommendation. WSDM 2021: 373-381
Fan Liu, Zhiyong Cheng, Lei Zhu, Zan Gao, Liqiang Nie: Interest-aware Message-Passing GCN for Recommendation. WWW 2021: 1296-1305
Yongqi Li, Wenjie Li, Liqiang Nie: Incremental Knowledge Based Question Answering. CoRR abs/2101.06938 (2021)
Yibing Liu, Yangyang Guo, Jianhua Yin, Xuemeng Song, Weifeng Liu, Liqiang Nie: Answer Questions with Right Image Regions: A Visual Attention Regularization Approach. CoRR abs/2102.01916 (2021)
Fan Liu, Zhiyong Cheng, Lei Zhu, Zan Gao, Liqiang Nie: Interest-aware Message-Passing GCN for Recommendation. CoRR abs/2102.10044 (2021)
Zhiyong Cheng, Shenghan Mei, Yangyang Guo, Lei Zhu, Liqiang Nie: Factor-level Attentive ICF for Recommendation. CoRR abs/2102.10745 (2021)
Huasong Zhong, Jianlong Wu, Chong Chen, Jianqiang Huang, Minghua Deng, Liqiang Nie, Zhouchen Lin, Xian-Sheng Hua: Graph Contrastive Clustering. CoRR abs/2104.01429 (2021)
Yongqi Li, Wenjie Li, Liqiang Nie: A Graph-guided Multi-round Retrieval Method for Conversational Open-domain Question Answering. CoRR abs/2104.08443 (2021)
Yangyang Guo, Liqiang Nie, Zhiyong Cheng, Feng Ji, Ji Zhang, Alberto Del Bimbo: AdaVQA: Overcoming Language Priors with Adapted Margin Cosine Loss. CoRR abs/2105.01993 (2021)
Fangkai Jiao, Yangyang Guo, Yilin Niu, Feng Ji, Feng-Lin Li, Liqiang Nie: REPT: Bridging Language Models and Machine Reading Comprehension via Retrieval-Based Pre-training. CoRR abs/2105.04201 (2021)
Han Liu, Yangyang Guo, Jianhua Yin, Zan Gao, Liqiang Nie: Review Polarity-wise Recommender. CoRR abs/2106.04155 (2021)
Yinwei Wei, Xiang Wang, Qi Li, Liqiang Nie, Yan Li, Xuanping Li, Tat-Seng Chua: Contrastive Learning for Cold-Start Recommendation. CoRR abs/2107.05315 (2021)
Yuzhang Shang, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan: Lipschitz Continuity Guided Knowledge Distillation. CoRR abs/2108.12905 (2021)
Zongmeng Zhang, Xianjing Han, Xuemeng Song, Yan Yan, Liqiang Nie: Multi-Modal Interaction Graph Convolutional Network for Temporal Language Localization in Videos. CoRR abs/2110.06058 (2021)
Yinwei Wei, Xiang Wang, Xiangnan He, Liqiang Nie, Yong Rui, Tat-Seng Chua: Hierarchical User Intent Graph Network forMultimedia Recommendation. CoRR abs/2110.14925 (2021)
Ziyang Ma, Xianjing Han, Xuemeng Song, Yiran Cui, Liqiang Nie: Hierarchical Deep Residual Reasoning for Temporal Moment Localization. CoRR abs/2111.00417 (2021)
Yinwei Wei, Xiang Wang, Liqiang Nie, Xiangnan He, Tat-Seng Chua: GRCN: Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback. CoRR abs/2111.02036 (2021)
Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie, Tat-Seng Chua: Learning Robust Recommender from Noisy Implicit Feedback. CoRR abs/2112.01160 (2021)
Sichao Fu, Weifeng Liu, Dapeng Tao, Yicong Zhou, Liqiang Nie: HesGCN: Hessian graph convolutional networks for semi-supervised classification. Inf. Sci. 514: 484-498 (2020)
Da Cao, Jingjing Chu, Ningbo Zhu, Liqiang Nie: Cross-modal recipe retrieval via parallel- and cross-attention networks learning. Knowl. Based Syst. 193: 105428 (2020)
Da Cao, Lianhai Miao, Huigui Rong, Zheng Qin, Liqiang Nie: Hashtag our stories: Hashtag recommendation for micro-videos via harnessing multiple modalities. Knowl. Based Syst. 203: 106114 (2020)
Fei Shang, Huaxiang Zhang, Jiande Sun, Liqiang Nie, Li Liu: Cross-modal dual subspace learning with adversarial network. Neural Networks 126: 132-142 (2020)
Jinfeng Li, Weifeng Liu, Yicong Zhou, Dapeng Tao, Liqiang Nie: Domain Adaptation with Few Labeled Source Samples by Graph Regularization. Neural Process. Lett. 51(1): 23-39 (2020)
Xiaojun Chang, Xiaodan Liang, Yan Yan, Liqiang Nie: Guest editorial: Image/video understanding and analysis. Pattern Recognit. Lett. 130: 1-3 (2020)
Zhen-Duo Chen, Chuan-Xiang Li, Xin Luo, Liqiang Nie, Wei Zhang, Xin-Shun Xu: SCRATCH: A Scalable Discrete Matrix Factorization Hashing Framework for Cross-Modal Retrieval. IEEE Trans. Circuits Syst. Video Technol. 30(7): 2262-2275 (2020)
Xiang Zhou, Fumin Shen, Li Liu, Wei Liu, Liqiang Nie, Yang Yang, Heng Tao Shen: Graph Convolutional Network Hashing. IEEE Trans. Cybern. 50(4): 1460-1472 (2020)
Yinwei Wei, Xiang Wang, Weili Guan, Liqiang Nie, Zhouchen Lin, Baoquan Chen: Neural Multimodal Cooperative Learning Toward Micro-Video Understanding. IEEE Trans. Image Process. 29: 1-14 (2020)
Xianjing Han, Xuemeng Song, Yiyang Yao, Xin-Shun Xu, Liqiang Nie: Neural Compatibility Modeling With Probabilistic Knowledge Distillation. IEEE Trans. Image Process. 29: 871-882 (2020)
Hui Cui, Lei Zhu, Jingjing Li, Yang Yang, Liqiang Nie: Scalable Deep Hashing for Large-Scale Social Image Retrieval. IEEE Trans. Image Process. 29: 1271-1284 (2020)
Xingbo Liu, Xiushan Nie, Quan Zhou, Liqiang Nie, Yilong Yin: Model Optimization Boosting Framework for Linear Model Hash Learning. IEEE Trans. Image Process. 29: 4254-4268 (2020)
Meng Liu, Leigang Qu, Liqiang Nie, Maofu Liu, Lingyu Duan, Baoquan Chen: Iterative Local-Global Collaboration Learning Towards One-Shot Video Person Re-Identification. IEEE Trans. Image Process. 29: 9360-9372 (2020)
Muwei Jian, Junyu Dong, Maoguo Gong, Hui Yu, Liqiang Nie, Yilong Yin, Kin-Man Lam: Learning the Traditional Art of Chinese Calligraphy via Three-Dimensional Reconstruction and Assessment. IEEE Trans. Multim. 22(4): 970-979 (2020)
Peiguang Jing, Shu Ye, Liqiang Nie, Jing Liu, Yuting Su: Low-Rank Regularized Multi-Representation Learning for Fashion Compatibility Prediction. IEEE Trans. Multim. 22(6): 1555-1566 (2020)
Liqiang Nie, Yongqi Li, Fuli Feng, Xuemeng Song, Meng Wang, Yinglong Wang: Large-Scale Question Tagging via Joint Question-Topic Embedding Learning. ACM Trans. Inf. Syst. 38(2): 20:1-20:23 (2020)
Xiaolin Chen, Xuemeng Song, Ruiyang Ren, Lei Zhu, Zhiyong Cheng, Liqiang Nie: Fine-Grained Privacy Detection with Graph-Regularized Hierarchical Attentive Representation Learning. ACM Trans. Inf. Syst. 38(4): 37:1-37:26 (2020)
Jinhuan Liu, Xuemeng Song, Liqiang Nie, Tian Gan, Jun Ma: An End-to-End Attention-Based Neural Model for Complementary Clothing Matching. ACM Trans. Multim. Comput. Commun. Appl. 15(4): 114:1-114:16 (2020)
Jianlong Wu, Xingyu Xie, Liqiang Nie, Zhouchen Lin, Hongbin Zha: Unified Graph and Low-Rank Tensor Learning for Multi-View Clustering. AAAI 2020: 6388-6395
Jinhuan Liu, Xuemeng Song, Zhaochun Ren, Liqiang Nie, Zhaopeng Tu, Jun Ma: Auxiliary Template-Enhanced Generative Compatibility Modeling. IJCAI 2020: 3508-3514
Da Cao, Yawen Zeng, Xiaochi Wei, Liqiang Nie, Richang Hong, Zheng Qin: Adversarial Video Moment Retrieval by Jointly Modeling Ranking and Localization. ACM Multimedia 2020: 898-906
Leigang Qu, Meng Liu, Da Cao, Liqiang Nie, Qi Tian: Context-Aware Multi-View Summarization Network for Image-Text Matching. ACM Multimedia 2020: 1047-1055
Xuzheng Yu, Tian Gan, Yinwei Wei, Zhiyong Cheng, Liqiang Nie: Personalized Item Recommendation for Second-hand Trading Platform. ACM Multimedia 2020: 3478-3486
Hao Jiang, Wenjie Wang, Yinwei Wei, Zan Gao, Yinglong Wang, Liqiang Nie: What Aspect Do You Like: Multi-scale Time-aware User Interest Modeling for Micro-video Recommendation. ACM Multimedia 2020: 3487-3495
Yinwei Wei, Xiang Wang, Liqiang Nie, Xiangnan He, Tat-Seng Chua: Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback. ACM Multimedia 2020: 3541-3549
Xue Dong, Jianlong Wu, Xuemeng Song, Hongjun Dai, Liqiang Nie: Fashion Compatibility Modeling through a Multi-modal Try-on-guided Scheme. SIGIR 2020: 771-780
Xin Yang, Xuemeng Song, Xianjing Han, Haokun Wen, Jie Nie, Liqiang Nie: Generative Attribute Manipulation Scheme for Flexible Fashion Search. SIGIR 2020: 941-950
Changfeng Sun, Han Liu, Meng Liu, Zhaochun Ren, Tian Gan, Liqiang Nie: LARA: Attribute-to-feature Adversarial Learning for New-item Recommendation. WSDM 2020: 582-590
Fan Liu, Zhiyong Cheng, Lei Zhu, Chenghao Liu, Liqiang Nie: A^2-GCN: An Attribute-aware Attentive GCN Model for Recommendation. CoRR abs/2003.09086 (2020)
Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie, Tat-Seng Chua: Denoising Implicit Feedback for Recommendation. CoRR abs/2006.04153 (2020)
Yangyang Guo, Zhiyong Cheng, Jiazheng Jing, Yanpeng Lin, Liqiang Nie, Meng Wang: Enhancing Factorization Machines with Generalized Metric Learning. CoRR abs/2006.11600 (2020)
Yangyang Guo, Liqiang Nie, Zhiyong Cheng, Qi Tian: Loss-rescaling VQA: Revisiting Language Prior Problem from a Class-imbalance View. CoRR abs/2010.16010 (2020)
Wenjie Wang, Ling-Yu Duan, Hao Jiang, Peiguang Jing, Xuemeng Song, Liqiang Nie: Market2Dish: Health-aware Food Recommendation. CoRR abs/2012.06416 (2020)
Liqiang Nie, Meng Liu, Xuemeng Song: Multimodal Learning toward Micro-Video Understanding. Synthesis Lectures on Image, Video, and Multimedia Processing, Morgan & Claypool Publishers 2019, ISBN 978-3-031-01127-6
Xuemeng Song, Liqiang Nie, Yinglong Wang: Compatibility Modeling: Data and Knowledge Applications for Clothing Matching. Synthesis Lectures on Information Concepts, Retrieval, and Services, Morgan & Claypool Publishers 2019, ISBN 978-3-031-01193-1
Sichao Fu, Weifeng Liu, Yicong Zhou, Liqiang Nie: HpLapGCN: Hypergraph p-Laplacian graph convolutional networks. Neurocomputing 362: 166-174 (2019)
Muwei Jian, Chaoran Cui, Xiushan Nie, Huaxiang Zhang, Liqiang Nie, Yilong Yin: Multi-view face hallucination using SVD and a mapping model. Inf. Sci. 488: 181-189 (2019)
Jin Yuan, Xingxing Hou, Yaoqiang Xiao, Da Cao, Weili Guan, Liqiang Nie: Multi-criteria active deep learning for image classification. Knowl. Based Syst. 172: 86-94 (2019)
Peiguang Jing, Yuting Su, Zhengnan Li, Jing Liu, Liqiang Nie: Low-rank regularized tensor discriminant representation for image set classification. Signal Process. 156: 62-70 (2019)
Peiguang Jing, Yuting Su, Liqiang Nie, Huimin Gu, Jing Liu, Meng Wang: A Framework of Joint Low-Rank and Sparse Regression for Image Memorability Prediction. IEEE Trans. Circuits Syst. Video Technol. 29(5): 1296-1309 (2019)
Meng Liu, Liqiang Nie, Xiang Wang, Qi Tian, Baoquan Chen: Online Data Organizer: Micro-Video Categorization by Structure-Guided Multimodal Dictionary Learning. IEEE Trans. Image Process. 28(3): 1235-1247 (2019)
Xin Luo, Peng-Fei Zhang, Zi Huang, Liqiang Nie, Xin-Shun Xu: Discrete Hashing With Multiple Supervision. IEEE Trans. Image Process. 28(6): 2962-2975 (2019)
Chaoran Cui, Huihui Liu, Tao Lian, Liqiang Nie, Lei Zhu, Yilong Yin: Distribution-Oriented Aesthetics Assessment With Semantic-Aware Hybrid Network. IEEE Trans. Multim. 21(5): 1209-1220 (2019)
Chuan-Xiang Li, Ting-Kun Yan, Xin Luo, Liqiang Nie, Xin-Shun Xu: Supervised Robust Discrete Multimodal Hashing for Cross-Media Retrieval. IEEE Trans. Multim. 21(11): 2863-2877 (2019)
Heyan Huang, Xiaochi Wei, Liqiang Nie, Xianling Mao, Xin-Shun Xu: From Question to Text: Question-Oriented Feature Attention for Answer Selection. ACM Trans. Inf. Syst. 37(1): 6:1-6:33 (2019)
Yangyang Guo, Zhiyong Cheng, Liqiang Nie, Yinglong Wang, Jun Ma, Mohan S. Kankanhalli: Attentive Long Short-Term Preference Modeling for Personalized Product Search. ACM Trans. Inf. Syst. 37(2): 19:1-19:27 (2019)
Cunxiao Du, Zhaozheng Chen, Fuli Feng, Lei Zhu, Tian Gan, Liqiang Nie: Explicit Interaction Model towards Text Classification. AAAI 2019: 6359-6366
Mengmeng Li, Tian Gan, Meng Liu, Zhiyong Cheng, Jianhua Yin, Liqiang Nie: Long-tail Hashtag Recommendation for Micro-videos with Graph Convolutional Network. CIKM 2019: 509-518
Linmei Hu, Luhao Zhang, Chuan Shi, Liqiang Nie, Weili Guan, Cheng Yang: Improving Distantly-Supervised Relation Extraction with Joint Label Embedding. EMNLP/IJCNLP (1) 2019: 3819-3827
Na Zheng, Xuemeng Song, Zhaozheng Chen, Linmei Hu, Da Cao, Liqiang Nie: Virtually Trying on New Clothing with Arbitrary Poses. ACM Multimedia 2019: 266-274
Xue Dong, Xuemeng Song, Fuli Feng, Peiguang Jing, Xin-Shun Xu, Liqiang Nie: Personalized Capsule Wardrobe Creation with Garment and User Modeling. ACM Multimedia 2019: 302-310
Xuemeng Song, Xianjing Han, Yunkai Li, Jingyuan Chen, Xin-Shun Xu, Liqiang Nie: GP-BPR: Personalized Compatibility Modeling for Clothing Matching. ACM Multimedia 2019: 320-328
Liqiang Nie, Wenjie Wang, Richang Hong, Meng Wang, Qi Tian: Multimodal Dialog System: Generating Responses via Adaptive Decoders. ACM Multimedia 2019: 1098-1106
Yinwei Wei, Xiang Wang, Liqiang Nie, Xiangnan He, Richang Hong, Tat-Seng Chua: MMGCN: Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video. ACM Multimedia 2019: 1437-1445
Yinwei Wei, Zhiyong Cheng, Xuzheng Yu, Zhou Zhao, Lei Zhu, Liqiang Nie: Personalized Hashtag Recommendation for Micro-videos. ACM Multimedia 2019: 1446-1454
Yongqi Li, Meng Liu, Jianhua Yin, Chaoran Cui, Xin-Shun Xu, Liqiang Nie: Routing Micro-videos via A Temporal Graph-guided Recommendation System. ACM Multimedia 2019: 1464-1472
Fan Liu, Zhiyong Cheng, Changchang Sun, Yinglong Wang, Liqiang Nie, Mohan S. Kankanhalli: User Diverse Preference Modeling by Multimodal Attentive Metric Learning. ACM Multimedia 2019: 1526-1534
Da Cao, Zhiwang Yu, Hanling Zhang, Jiansheng Fang, Liqiang Nie, Qi Tian: Video-Based Cross-Modal Recipe Retrieval. ACM Multimedia 2019: 1685-1693
Zhen-Duo Chen, Yongxin Wang, Hui-Qiong Li, Xin Luo, Liqiang Nie, Xin-Shun Xu: A Two-Step Cross-Modal Hashing by Exploiting Label Correlations and Preserving Similarity in Both Steps. ACM Multimedia 2019: 1694-1702
Tian Gan, Shaokun Wang, Meng Liu, Xuemeng Song, Yiyang Yao, Liqiang Nie: Seeking Micro-influencers for Brand Promotion. ACM Multimedia 2019: 1933-1941
Hao Jiang, Wenjie Wang, Meng Liu, Liqiang Nie, Ling-Yu Duan, Changsheng Xu: Market2Dish: A Health-aware Food Recommendation System. ACM Multimedia 2019: 2188-2190
Tian Gan, Zhixin Ma, Yuxiao Lu, Xuemeng Song, Liqiang Nie: Learn to Gesture: Let Your Body Speak. MMAsia 2019: 33:1-33:6
Yangyang Guo, Zhiyong Cheng, Liqiang Nie, Yibing Liu, Yinglong Wang, Mohan S. Kankanhalli: Quantifying and Alleviating the Language Prior Problem in Visual Question Answering. SIGIR 2019: 75-84
Chen Cui, Wenjie Wang, Xuemeng Song, Minlie Huang, Xin-Shun Xu, Liqiang Nie: User Attention-guided Multimodal Dialog Systems. SIGIR 2019: 445-454
Xu Lu, Lei Zhu, Zhiyong Cheng, Liqiang Nie, Huaxiang Zhang: Online Multi-modal Hashing with Dynamic Query-adaption. SIGIR 2019: 715-724
Changchang Sun, Xuemeng Song, Fuli Feng, Wayne Xin Zhao, Hao Zhang, Liqiang Nie: Supervised Hierarchical Cross-Modal Hashing. SIGIR 2019: 725-734
Xianjing Han, Xuemeng Song, Jianhua Yin, Yinglong Wang, Liqiang Nie: Prototype-guided Attribute-wise Interpretable Scheme for Clothing Matching. SIGIR 2019: 785-794
Yichen Pan, Yicong Zhou, Weifeng Liu, Liqiang Nie: Principal Component Analysis on Graph-Hessian. SSCI 2019: 1494-1501
Yangyang Guo, Zhiyong Cheng, Liqiang Nie, Yibing Liu, Yinglong Wang, Mohan S. Kankanhalli: Quantifying and Alleviating the Language Prior Problem in Visual Question Answering. CoRR abs/1905.04877 (2019)
Fan Liu, Zhiyong Cheng, Changchang Sun, Yinglong Wang, Liqiang Nie, Mohan S. Kankanhalli: User Diverse Preference Modeling by Multimodal Attentive Metric Learning. CoRR abs/1908.07738 (2019)
Yinwei Wei, Zhiyong Cheng, Xuzheng Yu, Zhou Zhao, Lei Zhu, Liqiang Nie: Personalized Hashtag Recommendation for Micro-videos. CoRR abs/1908.09987 (2019)
Liqiang Nie, Richang Hong, Peng Cui: Guest Editorial: Query understanding. Neurocomputing 274: 1-2 (2018)
Zhongying Zhao, Wenqiang Liu, Yuhua Qian, Liqiang Nie, Yilong Yin, Yong Zhang: Identifying advisor-advisee relationships from co-author networks via a novel deep model. Inf. Sci. 466: 258-269 (2018)
Xiaojun Chang, Yan Yan, Liqiang Nie: Guest Editorial: Semantic Concept Discovery in MM Data. Multim. Tools Appl. 77(3): 2945-2946 (2018)
Yahong Han, Liqiang Nie, Fei Wu: Guest Editorial: Spatio-temporal Feature Learning for Unconstrained Video Analysis. Multim. Tools Appl. 77(22): 29209-29211 (2018)
Minnan Luo, Xiaojun Chang, Liqiang Nie, Yi Yang, Alexander G. Hauptmann, Qinghua Zheng: An Adaptive Semisupervised Feature Analysis for Video Semantic Recognition. IEEE Trans. Cybern. 48(2): 648-660 (2018)
Yingjie Xia, Luming Zhang, Lei Meng, Yan Yan, Liqiang Nie, Xuelong Li: Exploring Web Images to Enhance Skin Disease Analysis Under A Computer Vision Framework. IEEE Trans. Cybern. 48(11): 3080-3091 (2018)
Peiguang Jing, Yuting Su, Liqiang Nie, Xu Bai, Jing Liu, Meng Wang: Low-Rank Multi-View Embedding Learning for Micro-Video Popularity Prediction. IEEE Trans. Knowl. Data Eng. 30(8): 1519-1532 (2018)
Zhihui Li, Feiping Nie, Xiaojun Chang, Liqiang Nie, Huaxiang Zhang, Yi Yang: Rank-Constrained Spectral Clustering With Flexible Embedding. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6073-6082 (2018)
Pengjie Ren, Zhumin Chen, Zhaochun Ren, Furu Wei, Liqiang Nie, Jun Ma, Maarten de Rijke: Sentence Relations for Extractive Summarization with Deep Neural Networks. ACM Trans. Inf. Syst. 36(4): 39:1-39:32 (2018)
Yan Yan, Liqiang Nie, Rita Cucchiara: Guest Editorial: Special Section on "Multimedia Understanding via Multimodal Analytics". ACM Trans. Multim. Comput. Commun. Appl. 14(2s): 37:1-37:2 (2018)
Zhen-Duo Chen, Wan-Jin Yu, Chuan-Xiang Li, Liqiang Nie, Xin-Shun Xu: Dual Deep Neural Networks Cross-Modal Hashing. AAAI 2018: 274-281
Dan Wang, Heyan Huang, Chi Lu, Bo-Si Feng, Guihua Wen, Liqiang Nie, Xianling Mao: Supervised Deep Hashing for Hierarchical Labeled Data. AAAI 2018: 7388-7395
Yansen Wang, Chenyi Liu, Minlie Huang, Liqiang Nie: Learning to Ask Questions in Open-domain Conversational Systems with Typed Decoders. ACL (1) 2018: 2193-2203
Lei Mei, Pengjie Ren, Zhumin Chen, Liqiang Nie, Jun Ma, Jian-Yun Nie: An Attentive Interaction Network for Context-aware Recommendations. CIKM 2018: 157-166
Xin Luo, Xiao-Ya Yin, Liqiang Nie, Xuemeng Song, Yongxin Wang, Xin-Shun Xu: SDMCH: Supervised Discrete Manifold-Embedded Cross-Modal Hashing. IJCAI 2018: 2518-2524
Han Liu, Xiangnan He, Fuli Feng, Liqiang Nie, Rui Liu, Hanwang Zhang: Discrete Factorization Machines for Fast Feature-based Recommendation. IJCAI 2018: 3449-3455
Ryuichi Takanobu, Minlie Huang, Zhongzhou Zhao, Feng-Lin Li, Haiqing Chen, Xiaoyan Zhu, Liqiang Nie: A Weakly Supervised Method for Topic Segmentation and Labeling in Goal-oriented Dialogues via Reinforcement Learning. IJCAI 2018: 4403-4410
Xiaochi Wei, Heyan Huang, Liqiang Nie, Fuli Feng, Richang Hong, Tat-Seng Chua: Quality Matters: Assessing cQA Pair Quality via Transductive Multi-View Learning. IJCAI 2018: 4482-4488
Chuan-Xiang Li, Zhen-Duo Chen, Peng-Fei Zhang, Xin Luo, Liqiang Nie, Wei Zhang, Xin-Shun Xu: SCRATCH: A Scalable Discrete Matrix Factorization Hashing for Cross-Modal Retrieval. ACM Multimedia 2018: 1-9
Meng Liu, Xiang Wang, Liqiang Nie, Qi Tian, Baoquan Chen, Tat-Seng Chua: Cross-modal Moment Localization in Videos. ACM Multimedia 2018: 843-851
Yangyang Guo, Zhiyong Cheng, Liqiang Nie, Xin-Shun Xu, Mohan S. Kankanhalli: Multi-modal Preference Modeling for Product Search. ACM Multimedia 2018: 1865-1873
Jingyuan Chen, Xiangnan He, Xuemeng Song, Hanwang Zhang, Liqiang Nie, Tat-Seng Chua: Venue Prediction for Social Images by Exploiting Rich Temporal Patterns in LBSNs. MMM (2) 2018: 327-339
Xuemeng Song, Fuli Feng, Xianjing Han, Xin Yang, Wei Liu, Liqiang Nie: Neural Compatibility Modeling with Attentive Knowledge Distillation. SIGIR 2018: 5-14
Meng Liu, Xiang Wang, Liqiang Nie, Xiangnan He, Baoquan Chen, Tat-Seng Chua: Attentive Moment Retrieval in Videos. SIGIR 2018: 15-24
Wenjie Wang, Minlie Huang, Xin-Shun Xu, Fumin Shen, Liqiang Nie: Chat More: Deepening and Widening the Chatting Topic via A Deep Model. SIGIR 2018: 255-264
Xuemeng Song, Xiang Wang, Liqiang Nie, Xiangnan He, Zhumin Chen, Wei Liu: A Personal Privacy Preserving Framework: I Let You Know Who Can See What. SIGIR 2018: 295-304
Xin Luo, Liqiang Nie, Xiangnan He, Ye Wu, Zhen-Duo Chen, Xin-Shun Xu: Fast Scalable Supervised Hashing. SIGIR 2018: 735-744
Fuli Feng, Xiangnan He, Yiqun Liu, Liqiang Nie, Tat-Seng Chua: Learning on Partial-Order Hypergraphs. WWW 2018: 1523-1532
Xiang Wang, Xiangnan He, Fuli Feng, Liqiang Nie, Tat-Seng Chua: TEM: Tree-enhanced Embedding Model for Explainable Recommendation. WWW 2018: 1543-1552
Benoit Huet, Liqiang Nie, Richang Hong: Internet Multimedia Computing and Service - 9th International Conference, ICIMCS 2017, Qingdao, China, August 23-25, 2017, Revised Selected Papers. Communications in Computer and Information Science 819, Springer 2018, ISBN 978-981-10-8529-1 [contents]
Xuemeng Song, Fuli Feng, Xianjing Han, Xin Yang, Wei Liu, Liqiang Nie: Neural Compatibility Modeling with Attentive Knowledge Distillation. CoRR abs/1805.00313 (2018)
Han Liu, Xiangnan He, Fuli Feng, Liqiang Nie, Rui Liu, Hanwang Zhang: Discrete Factorization Machines for Fast Feature-based Recommendation. CoRR abs/1805.02232 (2018)
Yansen Wang, Chenyi Liu, Minlie Huang, Liqiang Nie: Learning to Ask Questions in Open-domain Conversational Systems with Typed Decoders. CoRR abs/1805.04843 (2018)
Cunxiao Du, Zhaozheng Chen, Fuli Feng, Lei Zhu, Tian Gan, Liqiang Nie: Explicit Interaction Model towards Text Classification. CoRR abs/1811.09386 (2018)
Yangyang Guo, Zhiyong Cheng, Liqiang Nie, Yinglong Wang, Jun Ma, Mohan S. Kankanhalli: Attentive Long Short-Term Preference Modeling for Personalized Product Search. CoRR abs/1811.10155 (2018)
Minnan Luo, Xiaojun Chang, Zhihui Li, Liqiang Nie, Alexander G. Hauptmann, Qinghua Zheng: Simple to complex cross-modal learning to rank. Comput. Vis. Image Underst. 163: 67-77 (2017)
Da Cao, Liqiang Nie, Xiangnan He, Xiaochi Wei, Jialie Shen, Shunxiang Wu, Tat-Seng Chua: Version-sensitive mobile App recommendation. Inf. Sci. 381: 161-175 (2017)
An-An Liu, Ke Gao, Liqiang Nie, Juergen Gall, Yi Yang: Special issue on cross-media big data analytics. J. Vis. Commun. Image Represent. 48: 353-355 (2017)
Yingjie Xia, Luming Zhang, Richang Hong, Liqiang Nie, Yan Yan, Ling Shao: Perceptually Guided Photo Retargeting. IEEE Trans. Cybern. 47(3): 566-578 (2017)
Liqiang Nie, Luming Zhang, Yan Yan, Xiaojun Chang, Maofu Liu, Ling Shao: Multiview Physician-Specific Attributes Fusion for Health Seeking. IEEE Trans. Cybern. 47(11): 3680-3691 (2017)
Yingjie Xia, Luming Zhang, Zhenguang Liu, Liqiang Nie, Xuelong Li: Weakly Supervised Multimodal Kernel for Categorizing Aerial Photographs. IEEE Trans. Image Process. 26(8): 3748-3758 (2017)
Liqiang Nie, Luming Zhang, Meng Wang, Richang Hong, Aleksandr Farseev, Tat-Seng Chua: Learning User Attributes via Mobile Social Multimedia Analytics. ACM Trans. Intell. Syst. Technol. 8(3): 36:1-36:19 (2017)
Chaoran Cui, Jialie Shen, Liqiang Nie, Richang Hong, Jun Ma: Augmented Collaborative Filtering for Sparseness Reduction in Personalized POI Recommendation. ACM Trans. Intell. Syst. Technol. 8(5): 71:1-71:23 (2017)
Xiaochi Wei, Heyan Huang, Liqiang Nie, Hanwang Zhang, Xianling Mao, Tat-Seng Chua: I Know What You Want to Express: Sentence Element Inference by Incorporating External Knowledge Base. IEEE Trans. Knowl. Data Eng. 29(2): 344-358 (2017)
Liqiang Nie, Xiaochi Wei, Dongxiang Zhang, Xiang Wang, Zhipeng Gao, Yi Yang: Data-Driven Answer Selection in Community QA Systems. IEEE Trans. Knowl. Data Eng. 29(6): 1186-1198 (2017)
Peiguang Jing, Yuting Su, Liqiang Nie, Huimin Gu: Predicting Image Memorability Through Adaptive Transfer Learning From External Sources. IEEE Trans. Multim. 19(5): 1050-1062 (2017)
Guoyu Lu, Liqiang Nie, Scott Sorensen, Chandra Kambhamettu: Large-Scale Tracking for Images With Few Textures. IEEE Trans. Multim. 19(9): 2117-2128 (2017)
Liqiang Nie, Luming Zhang, Lei Meng, Xuemeng Song, Xiaojun Chang, Xuelong Li: Modeling Disease Progression via Multisource Multitask Learners: A Case Study With Alzheimer's Disease. IEEE Trans. Neural Networks Learn. Syst. 28(7): 1508-1519 (2017)
Dongxiang Zhang, Long Guo, Liqiang Nie, Jie Shao, Sai Wu, Heng Tao Shen: Targeted Advertising in Public Transportation Systems with Quantitative Evaluation. ACM Trans. Inf. Syst. 35(3): 20:1-20:29 (2017)
Dongxiang Zhang, Liqiang Nie, Huanbo Luan, Kian-Lee Tan, Tat-Seng Chua, Heng Tao Shen: Compact Indexing and Judicious Searching for Billion-Scale Microblog Retrieval. ACM Trans. Inf. Syst. 35(3): 27:1-27:24 (2017)
Da Cao, Xiangnan He, Liqiang Nie, Xiaochi Wei, Xia Hu, Shunxiang Wu, Tat-Seng Chua: Cross-Platform App Recommendation by Jointly Modeling Ratings and Texts. ACM Trans. Inf. Syst. 35(4): 37:1-37:27 (2017)
Xiang Wang, Liqiang Nie, Xuemeng Song, Dongxiang Zhang, Tat-Seng Chua: Unifying Virtual and Physical Worlds: Learning Toward Local and Global Consistency. ACM Trans. Inf. Syst. 36(1): 4:1-4:26 (2017)
Xianling Mao, Bo-Si Feng, Yi-Jing Hao, Liqiang Nie, Heyan Huang, Guihua Wen: S2JSD-LSH: A Locality-Sensitive Hashing Schema for Probability Distributions. AAAI 2017: 3244-3251
Linmei Hu, Juanzi Li, Liqiang Nie, Xiaoli Li, Chao Shao: What Happens Next? Future Subevent Prediction Using Contextual Hierarchical LSTM. AAAI 2017: 3450-3456
Long Chen, Hanwang Zhang, Jun Xiao, Liqiang Nie, Jian Shao, Wei Liu, Tat-Seng Chua: SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning. CVPR 2017: 6298-6306
Lizi Liao, Xiangnan He, Zhaochun Ren, Liqiang Nie, Huan Xu, Tat-Seng Chua: Representativeness-aware Aspect Analysis for Brand Monitoring in Social Media. IJCAI 2017: 310-316
Zhiyong Cheng, Jialie Shen, Lei Zhu, Mohan S. Kankanhalli, Liqiang Nie: Exploiting Music Play Sequence for Music Recommendation. IJCAI 2017: 3654-3660
Guangyao Shen, Jia Jia, Liqiang Nie, Fuli Feng, Cunjun Zhang, Tianrui Hu, Tat-Seng Chua, Wenwu Zhu: Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution. IJCAI 2017: 3838-3844
Xuemeng Song, Fuli Feng, Jinhuan Liu, Zekun Li, Liqiang Nie, Jun Ma: NeuroStylist: Neural Compatibility Modeling for Clothing Matching. ACM Multimedia 2017: 753-761
Meng Liu, Liqiang Nie, Meng Wang, Baoquan Chen: Towards Micro-video Understanding by Joint Sequential-Sparse Modeling. ACM Multimedia 2017: 970-978
Liqiang Nie, Xiang Wang, Jianglong Zhang, Xiangnan He, Hanwang Zhang, Richang Hong, Qi Tian: Enhancing Micro-video Understanding by Harnessing External Sounds. ACM Multimedia 2017: 1192-1200
Shaohua Li, Xinxing Xu, Liqiang Nie, Tat-Seng Chua: Laplacian-Steered Neural Style Transfer. ACM Multimedia 2017: 1716-1724
Pengfei Zhang, Chuan-Xiang Li, Meng-Yuan Liu, Liqiang Nie, Xin-Shun Xu: Semi-Relaxation Supervised Hashing for Cross-Modal Retrieval. ACM Multimedia 2017: 1762-1770
Xiang Wang, Xiangnan He, Liqiang Nie, Tat-Seng Chua: Item Silk Road: Recommending Items from Information Domains to Social Users. SIGIR 2017: 185-194
Jingyuan Chen, Hanwang Zhang, Xiangnan He, Liqiang Nie, Wei Liu, Tat-Seng Chua: Attentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-Level Attention. SIGIR 2017: 335-344
Fuli Feng, Liqiang Nie, Xiang Wang, Richang Hong, Tat-Seng Chua: Computational Social Indicators: A Case Study of Chinese University Ranking. SIGIR 2017: 455-464
Da Cao, Liqiang Nie, Xiangnan He, Xiaochi Wei, Shunzhi Zhu, Tat-Seng Chua: Embedding Factorization Models for Jointly Recommending Items and User Generated Lists. SIGIR 2017: 585-594
Zhiyong Cheng, Jialie Shen, Liqiang Nie, Tat-Seng Chua, Mohan S. Kankanhalli: Exploring User-Specific Information in Music Retrieval. SIGIR 2017: 655-664
Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu, Tat-Seng Chua: Neural Collaborative Filtering. WWW 2017: 173-182
Minnan Luo, Xiaojun Chang, Yi Yang, Liqiang Nie, Alexander G. Hauptmann, Qinghua Zheng: Simple to Complex Cross-modal Learning to Rank. CoRR abs/1702.01229 (2017)
Dan Wang, Heyan Huang, Chi Lu, Bo-Si Feng, Liqiang Nie, Guihua Wen, Xianling Mao: Supervised Deep Hashing for Hierarchical Labeled Data. CoRR abs/1704.02088 (2017)
Xiang Wang, Xiangnan He, Liqiang Nie, Tat-Seng Chua: Item Silk Road: Recommending Items from Information Domains to Social Users. CoRR abs/1706.03205 (2017)
Shaohua Li, Xinxing Xu, Liqiang Nie, Tat-Seng Chua: Laplacian-Steered Neural Style Transfer. CoRR abs/1707.01253 (2017)
Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu, Tat-Seng Chua: Neural Collaborative Filtering. CoRR abs/1708.05031 (2017)
Liqiang Nie, Xuemeng Song, Tat-Seng Chua: Learning from Multiple Social Networks. Synthesis Lectures on Information Concepts, Retrieval, and Services, Morgan & Claypool Publishers 2016, ISBN 978-3-031-01172-6
Mohammad Akbari, Xia Hu, Liqiang Nie, Tat-Seng Chua: Towards organizing health knowledge on community-based health services. EURASIP J. Bioinform. Syst. Biol. 2016: 18 (2016)
Maofu Liu, Limin Wang, Liqiang Nie, Jianhua Dai, Donghong Ji: Event graph based contradiction recognition from big data collection. Neurocomputing 181: 64-75 (2016)
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