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Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu: Frequency-aware Graph Signal Processing for Collaborative Filtering. CoRR abs/2402.08426 (2024)
Fangyu Yu, Peng Zhang, Xianghua Ding, Tun Lu, Ning Gu: Exploring How Workspace Awareness Cues Affect Distributed Meeting Outcome. Int. J. Hum. Comput. Interact. 39(8): 1606-1625 (2023)
Xiangyao Qi, Qi Lu, Wentao Pan, Yingying Zhao, Rui Zhu, Mingzhi Dong, Yuhu Chang, Qin Lv, Robert P. Dick, Fan Yang, Tun Lu, Ning Gu, Li Shang: CASES: A Cognition-Aware Smart Eyewear System for Understanding How People Read. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(3): 115:1-115:31 (2023)
Sijia Liu, Jiahao Liu, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Ning Gu: AutoSeqRec: Autoencoder for Efficient Sequential Recommendation. CIKM 2023: 1493-1502
Fangye Wang, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Ning Gu: Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction. CIKM 2023: 2523-2533
Yubo Shu, Hansu Gu, Peng Zhang, Tun Lu, Ning Gu: An Intent-based and Annotation-free Method for Duplicate Question Detection in CQA Forums. EMNLP (Findings) 2023: 8889-8899
Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu: Triple Structural Information Modelling for Accurate, Explainable and Interactive Recommendation. SIGIR 2023: 1086-1095
Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu: CL4CTR: A Contrastive Learning Framework for CTR Prediction. WSDM 2023: 805-813
Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu: Personalized Graph Signal Processing for Collaborative Filtering. WWW 2023: 1264-1272
Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu: Personalized Graph Signal Processing for Collaborative Filtering. CoRR abs/2302.02113 (2023)
Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu: Triple Structural Information Modelling for Accurate, Explainable and Interactive Recommendation. CoRR abs/2304.11528 (2023)
Guangping Zhang, Dongsheng Li, Hansu Gu, Tun Lu, Li Shang, Ning Gu: Simulating News Recommendation Ecosystem for Fun and Profit. CoRR abs/2305.14103 (2023)
Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Jiongran Wu, Peng Zhang, Li Shang, Ning Gu: Recommendation Unlearning via Matrix Correction. CoRR abs/2307.15960 (2023)
Sijia Liu, Jiahao Liu, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Ning Gu: AutoSeqRec: Autoencoder for Efficient Sequential Recommendation. CoRR abs/2308.06878 (2023)
Yubo Shu, Hansu Gu, Peng Zhang, Haonan Zhang, Tun Lu, Dongsheng Li, Ning Gu: RAH! RecSys-Assistant-Human: A Human-Central Recommendation Framework with Large Language Models. CoRR abs/2308.09904 (2023)
Shitong Duan, Xiaoyuan Yi, Peng Zhang, Tun Lu, Xing Xie, Ning Gu: Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning. CoRR abs/2310.11053 (2023)
Fangye Wang, Yingxu Wang, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Li Shang, Ning Gu: A Comprehensive Summarization and Evaluation of Feature Refinement Modules for CTR Prediction. CoRR abs/2311.04625 (2023)
Fangye Wang, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Ning Gu: Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction. CoRR abs/2311.04635 (2023)
Yuxuan Lu, Bingsheng Yao, Shao Zhang, Yun Wang, Peng Zhang, Tun Lu, Toby Jia-Jun Li, Dakuo Wang: Human Still Wins over LLM: An Empirical Study of Active Learning on Domain-Specific Annotation Tasks. CoRR abs/2311.09825 (2023)
Zhenyu Xu, Hailin Xu, Zhouyang Lu, Yingying Zhao, Rui Zhu, Yujiang Wang, Mingzhi Dong, Yuhu Chang, Qin Lv, Robert P. Dick, Fan Yang, Tun Lu, Ning Gu, Li Shang: Can Large Language Models Be Good Companions? An LLM-Based Eyewear System with Conversational Common Ground. CoRR abs/2311.18251 (2023)
Zheng Xu, Chaofan Liu, Sitong Wang, Peng Zhang, Tun Lu, Ning Gu: An AST-based consistency maintenance scheme for cross-chain digital assets. CCF Trans. Pervasive Comput. Interact. 4(2): 142-157 (2022)
Changyang He, Huan Liu, Lu He, Tun Lu, Bo Li: More collaboration, less seriousness: Investigating new strategies for promoting youth engagement in government-generated videos during the COVID-19 pandemic in China. Comput. Hum. Behav. 126: 107019 (2022)
Peng Zhang, Baoxi Liu, Tun Lu, Hansu Gu, Xianghua Ding, Ning Gu: A Semantic Embedding Enhanced Topic Model For User-Generated Textual Content Modeling In Social Ecosystems. Comput. J. 65(11): 2953-2968 (2022)
Zheng Xu, Chaofan Liu, Peng Zhang, Tun Lu, Ning Gu: A blockchain-enabled wiki framework based on participatory design. Digit. Commun. Networks 8(6): 995-1004 (2022)
Yingying Zhao, Yuhu Chang, Yutian Lu, Yujiang Wang, Mingzhi Dong, Qin Lv, Robert P. Dick, Fan Yang, Tun Lu, Ning Gu, Li Shang: Do Smart Glasses Dream of Sentimental Visions?: Deep Emotionship Analysis for Eyewear Devices. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(1): 38:1-38:29 (2022)
Yingying Zhao, Ning Li, Wentao Pan, Yujiang Wang, Mingzhi Dong, Sharon Xianghua Ding, Qin Lv, Robert P. Dick, Dongsheng Li, Fan Yang, Tun Lu, Ning Gu, Li Shang: Unveiling Causal Attention in Dogs' Eyes with Smart Eyewear. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(4): 199:1-199:33 (2022)
Baoxi Liu, Peng Zhang, Yubo Shu, Zhengqing Guan, Tun Lu, Hansu Gu, Ning Gu: Building a Personalized Model for Social Media Textual Content Censorship. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-31 (2022)
Yiying Wu, Sharon Xianghua Ding, Xuelan Dai, Peng Zhang, Tun Lu, Ning Gu: Alignment Work for Urban Accessibility: A Study of How Wheelchair Users Travel in Urban Spaces. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-22 (2022)
Peng Zhang, Zhengqing Guan, Baoxi Liu, Sharon Xianghua Ding, Tun Lu, Hansu Gu, Ning Gu: Building User-oriented Personalized Machine Translator based on User-Generated Textual Content. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-26 (2022)
Yingying Zhao, Mingzhi Dong, Yujiang Wang, Da Feng, Qin Lv, Robert P. Dick, Dongsheng Li, Tun Lu, Ning Gu, Li Shang: A Reinforcement-Learning-Based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline. IEEE Trans. Multim. 24: 2150-2163 (2022)
Peng Zhang, Baoxi Liu, Tun Lu, Xianghua Ding, Hansu Gu, Ning Gu: Jointly Predicting Future Content in Multiple Social Media Sites Based on Multi-task Learning. ACM Trans. Inf. Syst. 40(4): 79:1-79:28 (2022)
Ting Jiang, Peng Zhang, Tun Lu, Ning Gu: Predicting Rollback Edits on Stack Overflow Based on Deep Fusion of Metadata and Text. CSCWD 2022: 377-382
Yifan Liang, Zongzheng Zou, Peng Zhang, Dongsheng Li, Tun Lu, Ning Gu: Team Formation and Task Recommendation for Disabled People in Crowdsourcing Systems. CSCWD 2022: 1372-1377
Zheng Xu, Rui Jiang, Peng Zhang, Tun Lu, Ning Gu: TxChain: Scaling Sharded Decentralized Ledger via Chained Transaction Sequences. DASFAA (1) 2022: 333-340
Fangye Wang, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Ning Gu: MCRF: Enhancing CTR Prediction Models via Multi-channel Feature Refinement Framework. DASFAA (2) 2022: 359-374
Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu: Parameter-free Dynamic Graph Embedding for Link Prediction. NeurIPS 2022
Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu: Enhancing CTR Prediction with Context-Aware Feature Representation Learning. SIGIR 2022: 343-352
Zhuo Chen, Baoxi Liu, Peng Zhang, Tun Lu, Hansu Gu, Ning Gu: A Personalized Cross-Platform Post Style Transfer Method Based on Transformer and Bi-Attention Mechanism. WSDM 2022: 85-93
Jiafeng Xia, Dongsheng Li, Hansu Gu, Jiahao Liu, Tun Lu, Ning Gu: FIRE: Fast Incremental Recommendation with Graph Signal Processing. WWW 2022: 2360-2369
Yixuan Chen, Dongsheng Li, Peng Zhang, Jie Sui, Qin Lv, Tun Lu, Li Shang: Cross-modal Ambiguity Learning for Multimodal Fake News Detection. WWW 2022: 2897-2905
Sicheng Pan, Dongsheng Li, Hansu Gu, Tun Lu, Xufang Luo, Ning Gu: Accurate and Explainable Recommendation via Review Rationalization. WWW 2022: 3092-3101
Yingying Zhao, Yuhu Chang, Yutian Lu, Yujiang Wang, Mingzhi Dong, Qin Lv, Robert P. Dick, Fan Yang, Tun Lu, Ning Gu, Li Shang: Do Smart Glasses Dream of Sentimental Visions? Deep Emotionship Analysis for Eyewear Devices. CoRR abs/2201.09933 (2022)
Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu: Enhancing CTR Prediction with Context-Aware Feature Representation Learning. CoRR abs/2204.08758 (2022)
Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu: Parameter-free Dynamic Graph Embedding for Link Prediction. CoRR abs/2210.08189 (2022)
Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu: CL4CTR: A Contrastive Learning Framework for CTR Prediction. CoRR abs/2212.00522 (2022)
Shiwei Cheng, Huawei Tu, Tun Lu: Editorial for special issue on big HCI, better service: pervasive, collaborative and innovative interaction. CCF Trans. Pervasive Comput. Interact. 3(2): 97-98 (2021)
Yuhu Chang, Yingying Zhao, Mingzhi Dong, Yujiang Wang, Yutian Lu, Qin Lv, Robert P. Dick, Tun Lu, Ning Gu, Li Shang: MemX: An Attention-Aware Smart Eyewear System for Personalized Moment Auto-capture. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(2): 56:1-56:23 (2021)
Changyang He, Lu He, Tun Lu, Bo Li: Beyond Entertainment: Unpacking Danmaku and Comments' Role of Information Sharing and Sentiment Expression in Online Crisis Videos. Proc. ACM Hum. Comput. Interact. 5(CSCW2): 411:1-411:27 (2021)
Dongsheng Li, Chao Chen, Tun Lu, Stephen M. Chu, Ning Gu: Mixture Matrix Approximation for Collaborative Filtering. IEEE Trans. Knowl. Data Eng. 33(6): 2640-2653 (2021)
Peng Zhang, Baoxi Liu, Xianghua Ding, Tun Lu, Hansu Gu, Ning Gu: Studying and Understanding Characteristics of Post-Syncing Practice and Goal in Social Network Sites. ACM Trans. Web 15(4): 16:1-16:26 (2021)
Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu: Incremental Graph Convolutional Network for Collaborative Filtering. CIKM 2021: 2170-2179
Hanyu Wu, Tun Lu, Xianpeng Wang, Baoping Yang, Chunlin Xu, Peng Jiang: Examining Data and Process of Procuratorial Cases: A Graph-Based Provenance Solution Across Instances. CSCWD 2021: 115-120
Peng Liu, Tun Lu, Ning Gu: Behavior Analysis and Prediction of Disabled in Smart Home. CSCWD 2021: 1027-1032
Beisi Zhou, Tun Lu, Fangyu Yu, Peng Zhang, Ning Gu: ProvSum4MC: A Novel Provenance Summarization Approach for Multidisciplinary Collaboration. CSCWD 2021: 1221-1226
Zhenghao Zhang, Tun Lu, Dongsheng Li, Peng Zhang, Hansu Gu, Ning Gu: SANS: Setwise Attentional Neural Similarity Method for Few-Shot Recommendation. DASFAA (3) 2021: 69-84
Zheng Xu, Chaofan Liu, Peng Zhang, Tun Lu, Ning Gu: URIM: Utility-Oriented Role-Centric Incentive Mechanism Design for Blockchain-Based Crowdsensing. DASFAA (3) 2021: 358-374
Yuhu Chang, Changyang He, Yingying Zhao, Tun Lu, Ning Gu: A High-Frame-Rate Eye-Tracking Framework for Mobile Devices. ICASSP 2021: 1445-1449
Yingying Zhao, Mingzhi Dong, Yujiang Wang, Da Feng, Qin Lv, Robert P. Dick, Dongsheng Li, Tun Lu, Ning Gu, Li Shang: A Reinforcement-Learning-Based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline. CoRR abs/2104.04443 (2021)
Yuhu Chang, Yingying Zhao, Mingzhi Dong, Yujiang Wang, Yutian Lu, Qin Lv, Robert P. Dick, Tun Lu, Ning Gu, Li Shang: MemX: An Attention-Aware Smart Eyewear System for Personalized Moment Auto-capture. CoRR abs/2105.00916 (2021)
Weizhao Tang, Tun Lu, Dongsheng Li, Hansu Gu, Ning Gu: Hierarchical Attentional Factorization Machines for Expert Recommendation in Community Question Answering. IEEE Access 8: 35331-35343 (2020)
Weizhao Tang, Tun Lu, Hansu Gu, Peng Zhang, Ning Gu: Domain problem-solving expert identification in community question answering. Expert Syst. J. Knowl. Eng. 37(5) (2020)
Yichuan Jiang, Tun Lu, Donghui Lin, Yifeng Zeng, Ting Zhu: Guest Editorial: Special Issue on Collaborative Computing and Crowd Intelligence. Int. J. Cooperative Inf. Syst. 29(01n02): 2002001:1-2002001:3 (2020)
Peng Zhang, Tun Lu, Baoxi Liu, Hansu Gu, Ning Gu: Understanding Social Interaction across Social Network Sites. Int. J. Hum. Comput. Interact. 36(19): 1818-1833 (2020)
Baoxi Liu, Peng Zhang, Tun Lu, Ning Gu: A reliable cross-site user generated content modeling method based on topic model. Knowl. Based Syst. 209: 106435 (2020)
Yan Xia, Haiyi Zhu, Tun Lu, Peng Zhang, Ning Gu: Exploring Antecedents and Consequences of Toxicity in Online Discussions: A Case Study on Reddit. Proc. ACM Hum. Comput. Interact. 4(CSCW2): 108:1-108:23 (2020)
Te Jiang, Tun Lu, Ning Gu: Themis: An AST-Based Lock-Free Routes Synchronizing and Sharing System for Self-Driving in Edge Computing Environments. IEEE Access 7: 151692-151704 (2019)
Hanyu Wu, Tun Lu, Xianpeng Wang, Peng Zhang, Peng Jiang, Chunlin Xu: KBCBP: A Knowledge-Based Collaborative Business Process Model Supporting Dynamic Procuratorial Activities and Roles. ChineseCSCW 2019: 311-319
Peng Liu, Zhenghao Zhang, Tun Lu, Dongsheng Li, Ning Gu: A Recommendation Method of Barrier-Free Facilities Construction Based on Geographic Information. ChineseCSCW 2019: 377-389
Sicheng Pan, Tun Lu, Ning Gu, Huajuan Zhang, Chunlin Xu: Charge Prediction for Multi-defendant Cases with Multi-scale Attention. ChineseCSCW 2019: 766-777
Feng Tian, Xiangshi Ren, Xiangmin Fan, Wei Li, Haipeng Mi, Tun Lu, Chun Yu, Dakuo Wang: HCI in China: Research Agenda, Education Curriculum, Industry Partnership, and Communities Building. CHI Extended Abstracts 2019
Jiaming Cui, Tun Lu, Dongsheng Li, Ning Gu: Matrix Approximation with Cumulative Penalty for Collaborative Filtering. CSCWD 2019: 458-463
Dongsheng Li, Chao Chen, Zhilin Gong, Tun Lu, Stephen M. Chu, Ning Gu: Collaborative Filtering with Noisy Ratings. SDM 2019: 747-755
Yuqing Sun, Tun Lu, Zhengtao Yu, Hongfei Fan, Liping Gao: Computer Supported Cooperative Work and Social Computing - 14th CCF Conference, ChineseCSCW 2019, Kunming, China, August 16-18, 2019, Revised Selected Papers. Communications in Computer and Information Science 1042, Springer 2019, ISBN 978-981-15-1376-3 [contents]
Tun Lu, Mark S. Ackerman, Ning Gu: Guest Editorial. Int. J. Cooperative Inf. Syst. 27(1): 1702003:1-1702003:2 (2018)
Hong Guo, Bingjing Liu, Danli Cai, Tun Lu: Predicting protein-protein interaction sites using modified support vector machine. Int. J. Mach. Learn. Cybern. 9(3): 393-398 (2018)
Yiru Fangl, Tun Lu, Peng Zhang, Hansu Gu, Ning Gu: Exploring the Effect of Politeness on User Contribution in Q&A sites: A Case Study of Stack Overflow. CSCWD 2018: 713-718
Dongsheng Li, Chao Chen, Qin Lv, Hansu Gu, Tun Lu, Li Shang, Ning Gu, Stephen M. Chu: AdaError: An Adaptive Learning Rate Method for Matrix Approximation-based Collaborative Filtering. WWW 2018: 741-751
Dakuo Wang, Haodan Tan, Tun Lu: Why Users Do Not Want to Write Together When They Are Writing Together: Users' Rationales for Today's Collaborative Writing Practices. Proc. ACM Hum. Comput. Interact. 1(CSCW): 107:1-107:18 (2017)
Peng Zhang, Haiyi Zhu, Tun Lu, Hansu Gu, Wenjian Huang, Ning Gu: Understanding Relationship Overlapping on Social Network Sites: A Case Study of Weibo and Douban. Proc. ACM Hum. Comput. Interact. 1(CSCW): 120:1-120:18 (2017)
Peng Zhang, Tun Lu, Hansu Gu, Xianghua Ding, Ning Gu: How Do You Interact with Your Old Friends on a New Site: Understanding Social Ties among Different Social Network Sites. ChineseCSCW 2017: 2-9
Peng Zhang, Tun Lu, Hansu Gu, Ning Gu: Identifying User Identity across Social Network Sites based on Overlapping Relationship and Social Interaction. ChineseCSCW 2017: 25-32
Ning Gu, Xianghua Ding, Tun Lu, Mark S. Ackerman: CSCW in China and Beyond. CSCW Companion 2017: 383-386
Jianhao Zhang, Tun Lu, Huanhuan Xia, Bin Shao, Ning Gu: ASTS: A string-wise address space transformation algorithm for real-time collaborative editing. CSCWD 2017: 162-167
Yuling Sun, Tun Lu, Ning Gu: A method of electronic health data quality assessment: Enabling data provenance. CSCWD 2017: 233-238
Haiming Wang, Peng Zhang, Tun Lu, Hansu Gu, Ning Gu: Hybrid recommendation model based on incremental collaborative filtering and content-based algorithms. CSCWD 2017: 337-342
Wanlu Shi, Tun Lu, Dongsheng Li, Peng Zhang, Ning Gu: Multi-task matrix factorization for collaborative filtering. CSCWD 2017: 343-348
Haiyang Ding, Peng Zhang, Tun Lu, Hansu Gu, Ning Gu: Credit scoring using ensemble classification based on variable weighting clustering. CSCWD 2017: 509-514
Dongsheng Li, Chao Chen, Wei Liu, Tun Lu, Ning Gu, Stephen M. Chu: Mixture-Rank Matrix Approximation for Collaborative Filtering. NIPS 2017: 477-485
Zili Zhang, Ning Gu, Shaozi Li, Tun Lu, Li Li: Proceedings of the 12th Chinese Conference on Computer Supported Cooperative Work and Social Computing, ChineseCSCW 2017, Chongqing, China, September 22-23, 2017. ACM 2017, ISBN 978-1-4503-5352-6 [contents]
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