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Yan Jia, Mengqi Lin, Ye Wang, Jianming Li, Kai Chen, Joanna Siebert, Geordie Z. Zhang, Qing Liao: Extrapolation over temporal knowledge graph via hyperbolic embedding. CAAI Trans. Intell. Technol. 8(2): 418-429 (2023)
Siqi Wang, Yijie Zeng, Guang Yu, Zhen Cheng, Xinwang Liu, Sihang Zhou, En Zhu, Marius Kloft, Jianping Yin, Qing Liao: E$^{3}$3Outlier: a Self-Supervised Framework for Unsupervised Deep Outlier Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2952-2969 (2023)
Jiyuan Liu, Xinwang Liu, Yuexiang Yang, Qing Liao, Yuanqing Xia: Contrastive Multi-View Kernel Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9552-9566 (2023)
Shuzhou Sun, Shuaifeng Zhi, Qing Liao, Janne Heikkil?, Li Liu: Unbiased Scene Graph Generation via Two-Stage Causal Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12562-12580 (2023)
Miaomiao Li, Jingyuan Xia, Huiying Xu, Qing Liao, Xinzhong Zhu, Xinwang Liu: Localized Incomplete Multiple Kernel k-Means With Matrix-Induced Regularization. IEEE Trans. Cybern. 53(6): 3479-3492 (2023)
Zhenyu Zhou, Lei Luo, Qing Liao, Xinwang Liu, En Zhu: Improving Embedding Generalization in Few-Shot Learning With Instance Neighbor Constraints. IEEE Trans. Image Process. 32: 5197-5208 (2023)
Xingchen Hu, Xinwang Liu, Witold Pedrycz, Qing Liao, Yinghua Shen, Yan Li, Siwei Wang: Multi-View Fuzzy Classification With Subspace Clustering and Information Granules. IEEE Trans. Knowl. Data Eng. 35(11): 11642-11655 (2023)
Haoyu Jin, Donglei Wu, Shuyu Zhang, Xiangyu Zou, Sian Jin, Dingwen Tao, Qing Liao, Wen Xia: Design of a Quantization-Based DNN Delta Compression Framework for Model Snapshots and Federated Learning. IEEE Trans. Parallel Distributed Syst. 34(3): 923-937 (2023)
Heyan Chai, Jinhao Cui, Ye Wang, Min Zhang, Binxing Fang, Qing Liao: Improving Gradient Trade-offs between Tasks in Multi-task Text Classification. ACL (1) 2023: 2565-2579
Songyue Guo, Xu Yang, Jiyuan Feng, Ye Ding, Wei Wang, Yunqing Feng, Qing Liao: FedGR: Federated Learning with Gravitation Regulation for Double Imbalance Distribution. DASFAA (1) 2023: 703-718
Xing Gong, Jianyang Qin, Heyan Chai, Ye Ding, Yan Jia, Qing Liao: Temporal-Relational Matching Network for Few-Shot Temporal Knowledge Graph Completion. DASFAA (2) 2023: 768-783
Bo Pang, Yongquan Fu, Siyuan Ren, Siqi Shen, Ye Wang, Qing Liao, Yan Jia: A Multi-Modal Approach For Context-Aware Network Traffic Classification. ICASSP 2023: 1-5
Mingyu Shao, Li Lu, Ye Ding, Qing Liao: Minimising Distortion for GAN-Based Facial Attribute Manipulation. ICASSP 2023: 1-5
Xin-Cheng Wen, Yupan Chen, Cuiyun Gao, Hongyu Zhang, Jie M. Zhang, Qing Liao: Vulnerability Detection with Graph Simplification and Enhanced Graph Representation Learning. ICSE 2023: 2275-2286
Jinhao Cui, Heyan Chai, Yanbin Gong, Ye Ding, Zhongyun Hua, Cuiyun Gao, Qing Liao: MocGCL: Molecular Graph Contrastive Learning via Negative Selection. IJCNN 2023: 1-8
Ye Ding, Li Lu, Ziyuan Liu, Songjie Wu, Qing Liao: FAU-Gaze: Fast and Accurate User-specific Gaze Estimation Framework. IJCNN 2023: 1-8
Teng Wang, Haochen He, Xiaodong Liu, Shanshan Li, Zhouyang Jia, Yu Jiang, Qing Liao, Wang Li: ConfTainter: Static Taint Analysis For Configuration Options. ASE 2023: 1640-1651
Ziyi Yao, Heyan Chai, Jinhao Cui, Siyu Tang, Qing Liao: HITSZQ at SemEval-2023 Task 10: Category-aware Sexism Detection Model with Self-training Strategy. SemEval@ACL 2023: 934-940
Xin-Cheng Wen, Yupan Chen, Cuiyun Gao, Hongyu Zhang, Jie M. Zhang, Qing Liao: Vulnerability Detection with Graph Simplification and Enhanced Graph Representation Learning. CoRR abs/2302.04675 (2023)
Wenxuan Tu, Qing Liao, Sihang Zhou, Xin Peng, Chuan Ma, Zhe Liu, Xinwang Liu, Zhiping Cai: RARE: Robust Masked Graph Autoencoder. CoRR abs/2304.01507 (2023)
Yuchen Sun, Tianpeng Liu, Panhe Hu, Qing Liao, Shouling Ji, Nenghai Yu, Deke Guo, Li Liu: Deep Intellectual Property: A Survey. CoRR abs/2304.14613 (2023)
Xin-Cheng Wen, Cuiyun Gao, Feng Luo, Haoyu Wang, Ge Li, Qing Liao: LIVABLE: Exploring Long-Tailed Classification of Software Vulnerability Types. CoRR abs/2306.06935 (2023)
Yi Wen, Siwei Wang, Qing Liao, Weixuan Liang, Ke Liang, Xinhang Wan, Xinwang Liu: Unpaired Multi-View Graph Clustering with Cross-View Structure Matching. CoRR abs/2307.03476 (2023)
Shuzhou Sun, Shuaifeng Zhi, Qing Liao, Janne Heikkil?, Li Liu: Unbiased Scene Graph Generation via Two-stage Causal Modeling. CoRR abs/2307.05276 (2023)
Hongyu Zhang, Dongyi Zheng, Xu Yang, Jiyuan Feng, Qing Liao: FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learning. CoRR abs/2309.08420 (2023)
Yawen Cui, Qing Liao, Dewen Hu, Wei An, Li Liu: Coarse-to-fine pseudo supervision guided meta-task optimization for few-shot object classification. Pattern Recognit. 122: 108296 (2022)
Mingxing Duan, Kenli Li, Qing Liao, Qi Tian: DEF-Net: A Face Aging Model by Using Different Emotional Learnings. IEEE Trans. Circuits Syst. Video Technol. 32(5): 3012-3022 (2022)
Laifa Ma, Guanghua Tan, Hongxia Luo, Qing Liao, Shengli Li, Kenli Li: A Novel Deep Learning Framework for Automatic Recognition of Thyroid Gland and Tissues of Neck in Ultrasound Image. IEEE Trans. Circuits Syst. Video Technol. 32(9): 6113-6124 (2022)
Yuejie Zeng, Kenli Li, Lin Xiao, Qing Liao: Design and Analysis of a Novel Integral Design Scheme for Finding Finite-Time Solution of Time-Varying Matrix Inequalities. IEEE Trans. Emerg. Top. Comput. 10(1): 267-279 (2022)
Jiyuan Liu, Xinwang Liu, Jian Xiong, Qing Liao, Sihang Zhou, Siwei Wang, Yuexiang Yang: Optimal Neighborhood Multiple Kernel Clustering With Adaptive Local Kernels. IEEE Trans. Knowl. Data Eng. 34(6): 2872-2885 (2022)
Qing Liao, Heyan Chai, Hao Han, Xiang Zhang, Xuan Wang, Wen Xia, Ye Ding: An Integrated Multi-Task Model for Fake News Detection. IEEE Trans. Knowl. Data Eng. 34(11): 5154-5165 (2022)
Wanxia Deng, Lingjun Zhao, Qing Liao, Deke Guo, Gangyao Kuang, Dewen Hu, Matti Pietik?inen, Li Liu: Informative Feature Disentanglement for Unsupervised Domain Adaptation. IEEE Trans. Multim. 24: 2407-2421 (2022)
Lin Xiao, Lei Jia, Yaonan Wang, Jianhua Dai, Qing Liao, Quanxin Zhu: Performance Analysis and Applications of Finite-Time ZNN Models With Constant/Fuzzy Parameters for TVQPEI. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6665-6676 (2022)
Maojun Zhang, Guangxu Zhu, Shuai Wang, Jiamo Jiang, Qing Liao, Caijun Zhong, Shuguang Cui: Communication-Efficient Federated Edge Learning via Optimal Probabilistic Device Scheduling. IEEE Trans. Wirel. Commun. 21(10): 8536-8551 (2022)
Wei Liu, Yutao Huang, Yibing Guo, Ye Wang, Binxing Fang, Qing Liao: Topic Modeling for Short Texts Via Dual View Collaborate optimization. DSC 2022: 160-166
Heyan Chai, Siyu Tang, Jinhao Cui, Ye Ding, Binxing Fang, Qing Liao: Improving Multi-task Stance Detection with Multi-task Interaction Network. EMNLP 2022: 2990-3000
Siyu Tang, Heyan Chai, Ziyi Yao, Ye Ding, Cuiyun Gao, Binxing Fang, Qing Liao: Affective Knowledge Enhanced Multiple-Graph Fusion Networks for Aspect-based Sentiment Analysis. EMNLP 2022: 5352-5362
Heyan Chai, Weijun Su, Siyu Tang, Ye Ding, Binxing Fang, Qing Liao: Improving Anomaly Detection with a Self-Supervised Task Based on Generative Adversarial Network. ICASSP 2022: 3563-3567
Haochen He, Zhouyang Jia, Shanshan Li, Yue Yu, Chenglong Zhou, Qing Liao, Ji Wang, Xiangke Liao: Multi-Intention-Aware Configuration Selection for Performance Tuning. ICSE 2022: 1431-1442
Yutao Huang, Ye Wang, Qing Liao, Yan Jia, Yongquan Fu: Multi-Semantics Learning for Social Event Detection via Heterogeneous GNNs. IJCNN 2022: 1-9
Chenlin Huang, Keming Wang, Yun Li, Jiajian Li, Qing Liao: ASPGen-D: Automatically Generating Fine-grained Apparmor Policies for Docker. ISPA/BDCloud/SocialCom/SustainCom 2022: 822-829
Wenju Zhang, Xiang Zhang, Qing Liao, Long Lan, Mengzhu Wang, Wei Wang, Baoyun Peng, Zhengming Ding: On the Equity of Nuclear Norm Maximization in Unsupervised Domain Adaptation. CoRR abs/2204.05596 (2022)
Hongzuo Xu, Yijie Wang, Songlei Jian, Qing Liao, Yongjun Wang, Guansong Pang: Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection. CoRR abs/2207.12201 (2022)
Xinni Zhang, Yankai Chen, Cuiyun Gao, Qing Liao, Shenglin Zhao, Irwin King: Knowledge-aware Neural Networks with Personalized Feature Referencing for Cold-start Recommendation. CoRR abs/2209.13973 (2022)
Cuiyun Gao, Yaoxian Li, Shuhan Qi, Yang Liu, Xuan Wang, Zibin Zheng, Qing Liao: Listening to Users' Voice: Automatic Summarization of Helpful App Reviews. CoRR abs/2210.06235 (2022)
Zhourun Wu, Qing Liao, Bin Liu: idenPC-MIIP: identify protein complexes from weighted PPI networks using mutual important interacting partner relation. Briefings Bioinform. 22(2): 1972-1983 (2021)
Xiaopeng Jin, Qing Liao, Bin Liu: PL-search: a profile-link-based search method for protein remote homology detection. Briefings Bioinform. 22(3) (2021)
Xiaopeng Jin, Qing Liao, Hang Wei, Jun Zhang, Bin Liu: SMI-BLAST: a novel supervised search framework based on PSI-BLAST for protein remote homology detection. Bioinform. 37(7): 913-920 (2021)
Xiaopeng Jin, Qing Liao, Bin Liu: S2L-PSIBLAST: a supervised two-layer search framework based on PSI-BLAST for protein remote homology detection. Bioinform. 37(23): 4321-4327 (2021)
Junyi Li, Huinian Li, Xiao Ye, Li Zhang, Qingzhe Xu, Yuan Ping, Xiaozhu Jing, Wei Jiang, Qing Liao, Bo Liu, Yadong Wang: IIMLP: integrated information-entropy-based method for LncRNA prediction. BMC Bioinform. 22-S(3): 243 (2021)
Zerui Li, Yuchen Tian, Weizhe Zhang, Qing Liao, Yang Liu, Xiaojiang Du, Mohsen Guizani: RR-LADP: A Privacy-Enhanced Federated Learning Scheme for Internet of Everything. IEEE Consumer Electron. Mag. 10(5): 93-101 (2021)
Ye Ding, Xibo Zhou, Qing Liao, Haoyu Tan, Qiong Luo, Lionel M. Ni: iMatching: An interactive map-matching system. Neurocomputing 444: 126-135 (2021)
Chenglong Zhou, Haoran Liu, Yuanliang Zhang, Zhipeng Xue, Qing Liao, JinJing Zhao, Ji Wang: Deep Understanding of Runtime Configuration Intention. Int. J. Softw. Eng. Knowl. Eng. 31(6): 775-802 (2021)
Ye Ding, Wenyi Zhang, Xibo Zhou, Qing Liao, Qiong Luo, Lionel M. Ni: FraudTrip: Taxi Fraudulent Trip Detection From Corresponding Trajectories. IEEE Internet Things J. 8(16): 12505-12517 (2021)
Jianhua Dai, Yiwei Li, Lin Xiao, Lei Jia, Qing Liao, Jichun Li: Comprehensive study on complex-valued ZNN models activated by novel nonlinear functions for dynamic complex linear equations. Inf. Sci. 561: 101-114 (2021)
Yifan Li, Xuan Wang, Shuhan Qi, Chengkai Huang, Zoe Lin Jiang, Qing Liao, Jian Guan, Jiajia Zhang: Self-supervised learning-based weight adaptive hashing for fast cross-modal retrieval. Signal Image Video Process. 15(4): 673-680 (2021)
Hang Wei, Qing Liao, Bin Liu: iLncRNAdis-FB: Identify lncRNA-Disease Associations by Fusing Biological Feature Blocks Through Deep Neural Network. IEEE ACM Trans. Comput. Biol. Bioinform. 18(5): 1946-1957 (2021)
Tao Sun, Linbo Qiao, Qing Liao, Dong Sheng Li: Novel Convergence Results of Adaptive Stochastic Gradient Descents. IEEE Trans. Image Process. 30: 1044-1056 (2021)
Wanxia Deng, Qing Liao, Lingjun Zhao, Deke Guo, Gangyao Kuang, Dewen Hu, Li Liu: Joint Clustering and Discriminative Feature Alignment for Unsupervised Domain Adaptation. IEEE Trans. Image Process. 30: 7842-7855 (2021)
Jun Rao, Tao Qian, Shuhan Qi, Yulin Wu, Qing Liao, Xuan Wang: Student Can Also be a Good Teacher: Extracting Knowledge from Vision-and-Language Model for Cross-Modal Retrieval. CIKM 2021: 3383-3387
Mengqi Lin, Qing Liao, Yan Jia, Ye Wang: Survey on Knowledge Graph Embedding Based on Hyperbolic Geometry. DSC 2021: 152-158
Yutao Huang, Qing Liao, Yan Jia, Ye Wang: Survey on social event detection. DSC 2021: 159-165
Chong Mo, Ye Wang, Yan Jia, Qing Liao: Survey on Temporal Knowledge Graph. DSC 2021: 294-300
Chenlin Huang, Yusong Tan, Guoyun Duan, Zhiwen Chen, Boyang Zhang, Peiyao Deng, Qianxiang Zhang, Jianhua Sun, Hao Chen, Guoqing Xiao, Qing Liao: A Coverage-Guided Fuzzing Framework for Trusted Execution Environments. HPCC/DSS/SmartCity/DependSys 2021: 775-782
Yangqian Wang, Yuanfeng Song, Di Jiang, Ye Ding, Xuan Wang, Yang Liu, Qing Liao: FedSP: Federated Speaker Verification with Personal Privacy Preservation. ICA3PP (3) 2021: 462-478
Zhuo Su, Wenzhe Liu, Zitong Yu, Dewen Hu, Qing Liao, Qi Tian, Matti Pietik?inen, Li Liu: Pixel Difference Networks for Efficient Edge Detection. ICCV 2021: 5097-5107
Xinwang Liu, Li Liu, Qing Liao, Siwei Wang, Yi Zhang, Wenxuan Tu, Chang Tang, Jiyuan Liu, En Zhu: One Pass Late Fusion Multi-view Clustering. ICML 2021: 6850-6859
Xurui Ma, Zhigang Luo, Xiang Zhang, Qing Liao, Xingyu Shen, Mengzhu Wang: Spatio-Temporal Action Detector with Self-Attention. IJCNN 2021: 1-8
Xinxin Liao, Mingyan Wu, Heyan Chai, Shuhan Qi, Xuan Wang, Qing Liao: Fine-Grained Unbalanced Interaction Network for Visual Question Answering. KSEM 2021: 85-97
Mingyan Wu, Shuhan Qi, Jun Rao, Jiajia Zhang, Qing Liao, Xuan Wang, Xinxin Liao: Hierarchical Semantic Enhanced Directional Graph Network for Visual Commonsense Reasoning. Trustworthy AI @ ACM Multimedia 2021: 27-36
Deze Wang, Yue Yu, Shanshan Li, Wei Dong, Ji Wang, Qing Liao: MulCode: A Multi-task Learning Approach for Source Code Understanding. SANER 2021: 48-59
Siqi Wang, Guang Yu, Zhiping Cai, Xinwang Liu, En Zhu, Jianping Yin, Qing Liao: Video Abnormal Event Detection by Learning to Complete Visual Cloze Tests. CoRR abs/2108.02356 (2021)
Zhuo Su, Wenzhe Liu, Zitong Yu, Dewen Hu, Qing Liao, Qi Tian, Matti Pietik?inen, Li Liu: Pixel Difference Networks for Efficient Edge Detection. CoRR abs/2108.07009 (2021)
Bo Pang, Yongquan Fu, Siyuan Ren, Ye Wang, Qing Liao, Yan Jia: CGNN: Traffic Classification with Graph Neural Network. CoRR abs/2110.09726 (2021)
Tuo Wang, Xiang Zhang, Long Lan, Qing Liao, Chuanfu Xu, Zhigang Luo: Correlation Self-Expression Shrunk for Subspace Clustering. IEEE Access 8: 16595-16605 (2020)
Xingyu Shen, Xiang Zhang, Long Lan, Qing Liao, Zhigang Luo: Robust Similarity-Based Concept Factorization for Data Representation. IEEE Access 8: 81394-81411 (2020)
Zhourun Wu, Qing Liao, Bin Liu: A comprehensive review and evaluation of computational methods for identifying protein complexes from protein-protein interaction networks. Briefings Bioinform. 21(5): 1531-1548 (2020)
Fengwei Jia, Xuan Wang, Jian Guan, Qing Liao, Jiajia Zhang, Huale Li, Shuhan Qi: Bi-Connect Net for salient object detection. Neurocomputing 384: 142-155 (2020)
Chengkai Huang, Xuan Luo, Jiajia Zhang, Qing Liao, Xuan Wang, Zoe Lin Jiang, Shuhan Qi: Explore instance similarity: An instance correlation based hashing method for multi-label cross-model retrieval. Inf. Process. Manag. 57(2): 102165 (2020)
Longlong Liao, ZhiBang Yang, Qing Liao, Kenli Li, Keqin Li, Jie Liu, Qi Tian: A half-precision compressive sensing framework for end-to-end person re-identification. Neural Comput. Appl. 32(4): 1141-1155 (2020)
Ahmad Salah, Kenli Li, Qing Liao, Mervat Hashem, Zhiyong Li, Anthony T. Chronopoulos, Albert Y. Zomaya: A Time-space Efficient Algorithm for Parallel k-way In-place Merging based on Sequence Partitioning and Perfect Shuffle. ACM Trans. Parallel Comput. 7(2): 11:1-11:23 (2020)
Xixi Huang, Ye Ding, Zoe Lin Jiang, Shuhan Qi, Xuan Wang, Qing Liao: DP-FL: a novel differentially private federated learning framework for the unbalanced data. World Wide Web 23(4): 2529-2545 (2020)
Wenju Zhang, Xiang Zhang, Qing Liao, Wenjing Yang, Long Lan, Zhigang Luo: Robust Normalized Squares Maximization for Unsupervised Domain Adaptation. CIKM 2020: 2317-2320
Haoliang Tan, Zhiyuan Zhang, Xiangyu Zou, Qing Liao, Wen Xia: Exploring the Potential of Fast Delta Encoding: Marching to a Higher Compression Ratio. CLUSTER 2020: 198-208
Yibing Guo, Yutao Huang, Ye Ding, Shuhan Qi, Xuan Wang, Qing Liao: GPU-BTM: A Topic Model for Short Text using Auxiliary Information. DSC 2020: 198-205
Zhongwen Li, Bin Zhang, Yang Liu, Qing Liao: PRTransE: Emphasize More Important Facts Based on Pagerank for Knowledge Graph Completion. ICCC 2020: 15-26
Jian Guan, Liming Yin, Jianguo Sun, Shuhan Qi, Xuan Wang, Qing Liao: Enhanced Gaze Following via Object Detection and Human Pose Estimation. MMM (2) 2020: 502-513
Xingyu Shen, Xiang Zhang, Long Lan, Qing Liao, Zhigang Luo: Another Robust NMF: Rethinking the Hyperbolic Tangent Function and Locality Constraint. IEEE Access 7: 31089-31102 (2019)
Jiahai Chen, Yongmin Liu, Qing Liao, Bin Liu: iEsGene-ZCPseKNC: Identify Essential Genes Based on Z Curve Pseudo $k$ -Tuple Nucleotide Composition. IEEE Access 7: 165241-165247 (2019)
Xin Gao, Donghua Wang, Jun Zhang, Qing Liao, Bin Liu: iRBP-Motif-PSSM: Identification of RNA-Binding Proteins Based on Collaborative Learning. IEEE Access 7: 168956-168962 (2019)
Qing Liao, Ye Ding, Zoe Lin Jiang, Xuan Wang, Chunkai Zhang, Qian Zhang: Multi-task deep convolutional neural network for cancer diagnosis. Neurocomputing 348: 66-73 (2019)
Chunkai Zhang, Panbo Tian, Xudong Zhang, Qing Liao, Zoe Lin Jiang, Xuan Wang: HashEclat: an efficient frequent itemset algorithm. Int. J. Mach. Learn. Cybern. 10(11): 3003-3016 (2019)
Xixi Huang, Jian Guan, Bin Zhang, Shuhan Qi, Xuan Wang, Qing Liao: Differentially Private Convolutional Neural Networks with Adaptive Gradient Descent. DSC 2019: 642-648
Xiangyu Zou, Tao Lu, Sheng Di, Dingwen Tao, Wen Xia, Xuan Wang, Weizhe Zhang, Qing Liao: Accelerating Lossy Compression on HPC Datasets via Partitioning Computation for Parallel Processing. HPCC/SmartCity/DSS 2019: 1791-1797
Yiping Yin, Qing Liao, Yang Liu, Ruifeng Xu: Structural-Based Graph Publishing Under Differential Privacy. ICCC 2019: 67-78
Yangqian Wang, Hao Han, Ye Ding, Xuan Wang, Qing Liao: Learning Contextual Features with Multi-head Self-attention for Fake News Detection. ICCC 2019: 132-142
Qing Liao, Mingyue Guo, Bin Liu: Protein Remote Homology Detection Based on Profiles. IWBBIO (1) 2019: 261-268
Tao Sun, Yuejiao Sun, Dongsheng Li, Qing Liao: General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme. NeurIPS 2019: 994-1004
Guoyong Hu, Ye Ding, Shuhan Qi, Xuan Wang, Qing Liao: Multi-depth Graph Convolutional Networks for Fake News Detection. NLPCC (1) 2019: 698-710
Fengwei Jia, Xuan Wang, Jian Guan, Shuhan Qi, Qing Liao, Huale Li: Bi-directional Features Reuse Network for Salient Object Detection. PRICAI (3) 2019: 29-41
Tao Sun, Tianyi Chen, Yuejiao Sun, Qing Liao, Dongsheng Li: Decentralized Markov Chain Gradient Descent. CoRR abs/1909.10238 (2019)
Tao Sun, Yuejiao Sun, Dongsheng Li, Qing Liao: General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme. CoRR abs/1910.05093 (2019)
Qing Liao, Haoyu Tan, Wuman Luo, Ye Ding: Diverse Mobile System for Location-Based Mobile Data. Wirel. Commun. Mob. Comput. 2018: 4217432:1-4217432:17 (2018)
Shuqi Chi, Shanshan Li, Yong Guo, Wei Dong, Zhouyang Jia, Haochen He, Qing Liao: NotOnlyLog: Mining Patch-Log Associations from Software Evolution History to Enhance Failure Diagnosis Capability. APSEC 2018: 189-198
Teng Wang, Xiaodong Liu, Shanshan Li, Xiangke Liao, Wang Li, Qing Liao: MisconfDoctor: Diagnosing Misconfiguration via Log-Based Configuration Testing. QRS 2018: 1-12
Qian Chen, Qing Liao, Zoe Lin Jiang, Junbin Fang, Siu-Ming Yiu, Guikai Xi, Rong Li, Zhengzhong Yi, Xuan Wang, Lucas C. K. Hui, Dong Liu, En Zhang: File Fragment Classification Using Grayscale Image Conversion and Deep Learning in Digital Forensics. IEEE Symposium on Security and Privacy Workshops 2018: 140-147
Ye Li, Zoe Lin Jiang, Xuan Wang, Siu-Ming Yiu, Qing Liao: Outsourced Privacy-Preserving C4.5 Algorithm over Arbitrarily Partitioned Databases. DSC 2017: 124-132
Qing Liao, Zoe Lin Jiang, Xuan Wang, Chunkai Zhang, Ye Ding: Cancer classification with multi-task deep learning. SPAC 2017: 76-81
Chunkai Zhang, Jianwei Guo, Changqing Qi, Zoe Lin Jiang, Qing Liao, Lin Yao, Xuan Wang: EHSBoost: Enhancing ensembles for imbalanced data-sets by evolutionary hybrid-sampling. SPAC 2017: 118-123
Chunkai Zhang, Xudong Zhang, Zoe Lin Jiang, Qing Liao, Lin Yao, Xuan Wang: Mining inter-transaction association rules from multiple time-series data. SPAC 2017: 158-163
Chunkai Zhang, Guoquan Wang, Ying Zhou, Lin Yao, Zoe Lin Jiang, Qing Liao, Xuan Wang: Feature selection for high dimensional imbalanced class data based on F-measure optimization. SPAC 2017: 278-283
Chunkai Zhang, Haodong Liu, Ye Li, Ao Yin, Zoe Lin Jiang, Qing Liao, Xuan Wang: A novel privacy-preserving distributed anomaly detection method. SPAC 2017: 463-468
Xiang Zhang, Qing Liao, Zhigang Luo: Online discriminant projective non-negative matrix factorization. SPAC 2017: 537-542
Qing Liao, Qian Zhang: Local coordinate based graph-regularized NMF for image representation. Signal Process. 124: 103-114 (2016)
Qing Liao, Naiyang Guan, Qian Zhang: Gauss-Seidel based non-negative matrix factorization for gene expression clustering. ICASSP 2016: 2364-2368
Qing Liao, Naiyang Guan, Chengkun Wu, Qian Zhang: Predicting Unknown Interactions Between Known Drugs and Targets via Matrix Completion. PAKDD (1) 2016: 591-604
Wei Wang, Linlin Yang, Qing Liao, Xiang Zhu, Qian Zhang: TiSA: Time-dependent social network advertising. ICC 2015: 1188-1193
Qing Liao, Naiyang Guan, Qian Zhang: Logdet Divergence Based Sparse Non-Negative Matrix Factorization for Stable Representation. ICDM 2015: 871-876
Qing Liao, Xiang Zhang, Naiyang Guan, Qian Zhang: Local Coordinate Projective Non-negative Matrix Factorization. ICMLA 2015: 604-607
Qing Liao, Xiang Zhang, Naiyang Guan, Qian Zhang: Robust Local Coordinate Non-negative Matrix Factorization via Maximum Correntropy Criteria. SMC 2015: 2204-2209
Wei Wang, Qing Liao, Qian Zhang: COD: A Cooperative Cell Outage Detection Architecture for Self-Organizing Femtocell Networks. IEEE Trans. Wirel. Commun. 13(11): 6007-6014 (2014)
Yanxiang Ling, Qing Liao: Improved Recommendation System with Friends on SNS. 3PGCIC 2014: 127-133
Qing Liao, Wei Wang, Yi Han, Qian Zhang: Analyzing the influential people in Sina Weibo dataset. GLOBECOM 2013: 3066-3071
Jingling Zhao, Zhaohua Sun, Qing Liao: Implementation of K-Means based on improved storm model. ICCT 2013: 728-732
Qing Liao, Fan Yang, Jingming Zhao: An improved parallel K-means clustering algorithm with MapReduce. ICCT 2013: 764-768
Qing Liao, Qian Zhang: Efficient Rank-one Residue Approximation Method for Graph Regularized Non-negative Matrix Factorization. ECML/PKDD (2) 2013: 242-255
Pingyi Wang, Jingling Zhao, Qing Liao: A cross-platform context-aware application developing framework for mobile terminals. CCIS 2012: 1272-1276
Yongjia Liu, Yong Sun, Qing Liao, Xiangming Wen: File Sharing System in Wireless Home Environment. ICEE 2010: 2343-2346
Liyan Wang, Jidong Zhang, Longhua Yang, Qing Liao: A Principal-Agent Perspective on ERP Implementation Decisions: An Empirical Analysis Based on Chinese Listed Companies. AMCIS 2008: 360
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