| 2025 | AAAI | Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled Yet Hard-to-Learn Samples in Noisy Data. | Weiran Pan, Wei Wei, Feida Zhu, Yong Deng |
| 2025 | DASFAA | Design and Implementation of Decentralized Data Protection Protocol for Generative AI. | Bingxue Zhang, Yang Shi, Feida Zhu, Wang-Chien Lee |
| 2024 | AAAI | AvatarVerse: High-Quality & Stable 3D Avatar Creation from Text and Pose. | Huichao Zhang, Bowen Chen, Hao Yang, Liao Qu, Xu Wang, Li Chen, Chao Long, Feida Zhu, Daniel K. Du, Min Zheng |
| 2024 | KDD | The Fourth International Workshop on Smart Data for Blockchain and Distributed Ledger (SDBD'24). | Feida Zhu, Jian Pei, Michael Zeller, Bingxue Zhang |
| 2024 | WWW | Knowledge Enhanced Multi-intent Transformer Network for Recommendation. | Ding Zou, Wei Wei, Feida Zhu, Chuanyu Xu, Tao Zhang, Chengfu Huo |
| 2023 | CHI | NFTDisk: Visual Detection of Wash Trading in NFT Markets. | Xiaolin Wen, Yong Wang, Xuanwu Yue, Feida Zhu, Min Zhu |
| 2023 | CHI | Code Will Tell: Visual Identification of Ponzi Schemes on Ethereum. | Xiaolin Wen, Kim Siang Yeo, Yong Wang, Ling Cheng, Feida Zhu, Min Zhu |
| 2023 | CVPR | MeMaHand: Exploiting Mesh-Mano Interaction for Single Image Two-Hand Reconstruction. | Congyi Wang, Feida Zhu, Shilei Wen |
| 2023 | CVPR | GP-VTON: Towards General Purpose Virtual Try-On via Collaborative Local-Flow Global-Parsing Learning. | Zhenyu Xie, Zaiyu Huang, Xin Dong, Fuwei Zhao, Haoye Dong, Xijin Zhang, Feida Zhu, Xiaodan Liang |
| 2023 | KDD | Evolve Path Tracer: Early Detection of Malicious Addresses in Cryptocurrency. | Ling Cheng, Feida Zhu, Yong Wang, Ruicheng Liang, Huiwen Liu |
| 2023 | SMC | Toward Intention Discovery for Early Malice Detection in Cryptocurrency. | Ling Cheng, Feida Zhu, Yong Wang, Ruicheng Liang, Huiwen Liu |
| 2023 | SIGIR | Multi-view Hypergraph Contrastive Policy Learning for Conversational Recommendation. | Sen Zhao, Wei Wei, Xian-Ling Mao, Shuai Zhu, Minghui Yang, Zujie Wen, Dangyang Chen, Feida Zhu |
| 2022 | AAAI | Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations. | Sein Minn, Jill-Jnn Vie, Koh Takeuchi, Hisashi Kashima, Feida Zhu |
| 2022 | CIKM | Improving Knowledge-aware Recommendation with Multi-level Interactive Contrastive Learning. | Ding Zou, Wei Wei, Ziyang Wang, Xian-Ling Mao, Feida Zhu, Rui Fang, Dangyang Chen |
| 2022 | CVPR | Blind Face Restoration via Integrating Face Shape and Generative Priors. | Feida Zhu, Junwei Zhu, Wenqing Chu, Xinyi Zhang, Xiaozhong Ji, Chengjie Wang, Ying Tai |
| 2022 | IJCAI | HifiHead: One-Shot High Fidelity Neural Head Synthesis with 3D Control. | Feida Zhu, Junwei Zhu, Wenqing Chu, Ying Tai, Zhifeng Xie, Xiaoming Huang, Chengjie Wang |
| 2022 | IJCAI | Declaration-based Prompt Tuning for Visual Question Answering. | Yuhang Liu, Wei Wei, Daowan Peng, Feida Zhu |
| 2022 | IJCAI | Automatic Noisy Label Correction for Fine-Grained Entity Typing. | Weiran Pan, Wei Wei, Feida Zhu |
| 2022 | SIGIR | Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System. | Ding Zou, Wei Wei, Xian-Ling Mao, Ziyang Wang, Minghui Qiu, Feida Zhu, Xin Cao |
| 2021 | KDD | Data Pricing and Data Asset Governance in the AI Era. | Jian Pei, Feida Zhu, Zicun Cong, Xuan Luo, Huiwen Liu, Xin Mu |
| 2021 | KDD | The Third International Workshop on Smart Data for Blockchain and Distributed Ledger (SDBD2021): Joint Workshop with SIGKDD 2021 Trust Day. | Feida Zhu, Jian Pei |
| 2020 | ICDE | Predictive Task Assignment in Spatial Crowdsourcing: A Data-driven Approach. | Yan Zhao, Kai Zheng, Yue Cui, Han Su, Feida Zhu, Xiaofang Zhou |
| 2020 | PAKDD | Retrofitting Embeddings for Unsupervised User Identity Linkage. | Tao Zhou, Ee-Peng Lim, Roy Ka-Wei Lee, Feida Zhu, Jiuxin Cao |
| 2019 | CIKM | Emotion-aware Chat Machine: Automatic Emotional Response Generation for Human-like Emotional Interaction. | Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou, Yuchong Hu |
| 2019 | PAKDD | Dynamic Student Classiffication on Memory Networks for Knowledge Tracing. | Sein Minn, Michel C. Desmarais, Feida Zhu, Jing Xiao, Jianzong Wang |
| 2018 | ICDM | Deep Knowledge Tracing and Dynamic Student Classification for Knowledge Tracing. | Sein Minn, Yi Yu, Michel C. Desmarais, Feida Zhu, Jill-Jnn Vie |
| 2018 | ICDM | Improving Knowledge Tracing Model by Integrating Problem Difficulty. | Sein Minn, Feida Zhu, Michel C. Desmarais |
| 2018 | ICDM | Unsupervised User Identity Linkage via Factoid Embedding. | Wei Xie, Xin Mu, Roy Ka-Wei Lee, Feida Zhu, Ee-Peng Lim |
| 2018 | PAKDD | Social Stream Classification with Emerging New Labels. | Xin Mu, Feida Zhu, Yue Liu, Ee-Peng Lim, Zhi-Hua Zhou |
| 2018 | WISE | Group Identity Matching Across Heterogeneous Social Networks. | Hongchao Qin, Ye Yuan, Feida Zhu, Guoren Wang |
| 2018 | WSDM | IFUP: Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization. | Feida Zhu, Yongfeng Zhang, Neil Yorke-Smith, Guibing Guo, Xu Chen |
| 2017 | AAAI | Streaming Classification with Emerging New Class by Class Matrix Sketching. | Xin Mu, Feida Zhu, Juan Du, Ee-Peng Lim, Zhi-Hua Zhou |
| 2017 | DASFAA | Effective k-Vertex Connected Component Detection in Large-Scale Networks. | Yuan Li, Yuhai Zhao, Guoren Wang, Feida Zhu, Yubao Wu, Shengle Shi |
| 2016 | APWEB | Detecting Community Pacemakers of Burst Topic in Twitter. | Guozhong Dong, Wu Yang, Feida Zhu, Wei Wang |
| 2016 | APWEB | When a Friend Online is More Than a Friend in Life: Intimate Relationship Prediction in Microblogs. | Yunshi Lan, Mengqi Zhang, Feida Zhu, Jing Jiang, Ee-Peng Lim |
| 2016 | APWEB | Efficient Community Maintenance for Dynamic Social Networks. | Hongchao Qin, Ye Yuan, Feida Zhu, Guoren Wang |
| 2016 | DASFAA | When Peculiarity Makes a Difference: Object Characterisation in Heterogeneous Information Networks. | Wei Chen, Feida Zhu, Lei Zhao, Xiaofang Zhou |
| 2016 | ICDE | Mining social ties beyond homophily. | Hongwei Liang, Ke Wang, Feida Zhu |
| 2016 | ICWSM | On Unravelling Opinions of Issue Specific-Silent Users in Social Media. | Wei Gong, Ee-Peng Lim, Feida Zhu, Pei Hua Cher |
| 2016 | KDD | User Identity Linkage by Latent User Space Modelling. | Xin Mu, Feida Zhu, Ee-Peng Lim, Jing Xiao, Jianzong Wang, Zhi-Hua Zhou |
| 2016 | PAKDD | Personal Credit Profiling via Latent User Behavior Dimensions on Social Media. | Guangming Guo, Feida Zhu, Enhong Chen, Le Wu, Qi Liu, Yingling Liu, Minghui Qiu |
| 2015 | ICDE | DaVinci: Data-driven visual interface construction for subgraph search in graph databases. | Jinbo Zhang, Sourav S. Bhowmick, Hong H. Nguyen, Byron Choi, Feida Zhu |
| 2015 | ICDM | Information Source Detection via Maximum A Posteriori Estimation. | Biao Chang, Feida Zhu, Enhong Chen, Qi Liu |
| 2015 | ICDM | CNL: Collective Network Linkage Across Heterogeneous Social Platforms. | Ming Gao, Ee-Peng Lim, David Lo, Feida Zhu, Philips Kokoh Prasetyo, Aoying Zhou |
| 2015 | ICWSM | Characterizing Silent Users in Social Media Communities. | Wei Gong, Ee-Peng Lim, Feida Zhu |
| 2015 | SIGMOD | CrowdLink: An Error-Tolerant Model for Linking Complex Records. | Chen Jason Zhang, Rui Meng, Lei Chen, Feida Zhu |
| 2014 | ADMA | High Utility Episode Mining Made Practical and Fast. | Guangming Guo, Lei Zhang, Qi Liu, Enhong Chen, Feida Zhu, Chu Guan |
| 2014 | KDD | Network mining and analysis for social applications. | Feida Zhu, Huan Sun, Xifeng Yan |
| 2014 | PAKDD | An Integrated Model for User Attribute Discovery: A Case Study on Political Affiliation Identification. | Swapna Gottipati, Minghui Qiu, Liu Yang, Feida Zhu, Jing Jiang |
| 2014 | WWW | Who am I on twitter?: a cross-country comparison. | Wei Dong, Minghui Qiu, Feida Zhu |
| 2014 | WWW | LASER: a living analytics experimentation system for large-scale online controlled experiments. | Kwan Hui Lim, Ee-Peng Lim, Palakorn Achananuparp, Adrian Vu, Agus Trisnajaya Kwee, Feida Zhu |
| 2014 | SIGMOD | HYDRA: large-scale social identity linkage via heterogeneous behavior modeling. | Siyuan Liu, Shuhui Wang, Feida Zhu, Jinbo Zhang, Ramayya Krishnan |
| 2014 | SDM | On Finding the Point Where There Is No Return: Turning Point Mining on Game Data. | Wei Gong, Ee-Peng Lim, Feida Zhu, Palakorn Achananuparp, David Lo |
| 2013 | CIKM | CQArank: jointly model topics and expertise in community question answering. | Liu Yang, Minghui Qiu, Swapna Gottipati, Feida Zhu, Jing Jiang, Huiping Sun, Zhong Chen |
| 2013 | DASFAA | TwiCube: A Real-Time Twitter Off-Line Community Analysis Tool. | Juan Du, Wei Xie, Cheng Li, Feida Zhu, Ee-Peng Lim |
| 2013 | DASFAA | Dynamic Label Propagation in Social Networks. | Juan Du, Feida Zhu, Ee-Peng Lim |
| 2013 | ICDM | TopicSketch: Real-Time Bursty Topic Detection from Twitter. | Wei Xie, Feida Zhu, Jing Jiang, Ee-Peng Lim, Ke Wang |
| 2013 | ICWSM | Reviving Dormant Ties in an Online Social Network Experiment. | Ee-Peng Lim, Denzil Correa, David Lo, Michael Finegold, Feida Zhu |
| 2013 | SIGMOD | A direct mining approach to efficient constrained graph pattern discovery. | Feida Zhu, Zequn Zhang, Qiang Qu |
| 2013 | SDM | It Is Not Just What We Say, But How We Say Them: LDA-based Behavior-Topic Model. | Jing Jiang, Minghui Qiu, Feida Zhu |
| 2012 | ACL | Finding Bursty Topics from Microblogs. | Qiming Diao, Jing Jiang, Feida Zhu, Ee-Peng Lim |
| 2012 | CIKM | Mining coherent anomaly collections on web data. | Hanbo Dai, Feida Zhu, Ee-Peng Lim, HweeHwa Pang |
| 2012 | ICDM | Detecting Anomalies in Bipartite Graphs with Mutual Dependency Principles. | Hanbo Dai, Feida Zhu, Ee-Peng Lim, HweeHwa Pang |
| 2012 | SDM | Detecting Extreme Rank Anomalous Collections. | Hanbo Dai, Feida Zhu, Ee-Peng Lim, HweeHwa Pang |
| 2011 | DASFAA | Efficient Topological OLAP on Information Networks. | Qiang Qu, Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu, Hongyan Li |
| 2010 | DASFAA | Mining Diversity on Networks. | Lu Liu, Feida Zhu, Chen Chen, Xifeng Yan, Jiawei Han, Philip S. Yu, Shiqiang Yang |
| 2010 | ICDE | Top-K aggregation queries over large networks. | Xifeng Yan, Bin He, Feida Zhu, Jiawei Han |
| 2008 | ICDM | Graph OLAP: Towards Online Analytical Processing on Graphs. | Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han, Philip S. Yu |
| 2008 | ICDM | Text Cube: Computing IR Measures for Multidimensional Text Database Analysis. | Cindy Xide Lin, Bolin Ding, Jiawei Han, Feida Zhu, Bo Zhao |
| 2007 | ICDE | Mining Colossal Frequent Patterns by Core Pattern Fusion. | Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu, Hong Cheng |
| 2007 | ICDM | gApprox: Mining Frequent Approximate Patterns from a Massive Network. | Chen Chen, Xifeng Yan, Feida Zhu, Jiawei Han |
| 2007 | ICDM | Efficient Discovery of Frequent Approximate Sequential Patterns. | Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu |
| 2007 | PAKDD | gPrune: A Constraint Pushing Framework for Graph Pattern Mining. | Feida Zhu, Xifeng Yan, Jiawei Han, Philip S. Yu |
| 2006 | ICDE | Searching Substructures with Superimposed Distance. | Xifeng Yan, Feida Zhu, Jiawei Han, Philip S. Yu |