| 2026 | WWW | Multi-Task Multi-Behavior Sequential Recommendation. | Weihao Du, Ziran Deng, Weike Pan, Zhong Ming |
| 2026 | WWW | The Double-Edged Sword of Knowledge Transfer: Diagnosing and Curing Fairness Pathologies in Cross-Domain Recommendation. | Yuhan Zhao, Weixin Chen, Li Chen, Weike Pan |
| 2026 | SIGIR | Incremental Multi-Behavior Recommendation. | Jiahao Gong, Weike Pan |
| 2026 | SIGIR | LLM-based Semantic and ID Representations for Sequential Recommendation. | Donglin Zhou, Weike Pan, Zhong Ming |
| 2025 | CIKM | Target Item-oriented Conditional Diffusion Differential Transformer for Next-Item Prediction. | Xiaoqing Chen, Zitao Xu, Weike Pan, Zhong Ming |
| 2025 | KDD | Contrastive Text-enhanced Transformer for Cross-Domain Sequential Recommendation. | Donglin Zhou, Xinbei Cai, Weike Pan |
| 2025 | RecSys | Leave No One Behind: Fairness-Aware Cross-Domain Recommender Systems for Non-Overlapping Users. | Weixin Chen, Yuhan Zhao, Li Chen, Weike Pan |
| 2025 | WWW | Heterogeneous Graph Transfer Learning for Category-aware Cross-Domain Sequential Recommendation. | Zitao Xu, Xiaoqing Chen, Weike Pan, Zhong Ming |
| 2025 | SIGIR | Towards Interest Drift-driven User Representation Learning in Sequential Recommendation. | Xiaolin Lin, Weike Pan, Zhong Ming |
| 2024 | ICML | Delving into Differentially Private Transformer. | Youlong Ding, Xueyang Wu, Yining Meng, Yonggang Luo, Hao Wang, Weike Pan |
| 2024 | IJCAI | A Survey on Cross-Domain Sequential Recommendation. | Shu Chen, Zitao Xu, Weike Pan, Qiang Yang, Zhong Ming |
| 2024 | KDD | Explicit and Implicit Modeling via Dual-Path Transformer for Behavior Set-informed Sequential Recommendation. | Ming Chen, Weike Pan, Zhong Ming |
| 2024 | RecSys | Dynamic Stage-aware User Interest Learning for Heterogeneous Sequential Recommendation. | Weixin Li, Xiaolin Lin, Weike Pan, Zhong Ming |
| 2024 | SIGIR | A Generic Behavior-Aware Data Augmentation Framework for Sequential Recommendation. | Jing Xiao, Weike Pan, Zhong Ming |
| 2024 | WSDM | Multi-Sequence Attentive User Representation Learning for Side-information Integrated Sequential Recommendation. | Xiaolin Lin, Jinwei Luo, Junwei Pan, Weike Pan, Zhong Ming, Xun Liu, Shudong Huang, Jie Jiang |
| 2023 | DASFAA | Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation. | Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Weike Pan, Zhong Ming |
| 2023 | ICDM | Cascaded Cross Attention for Review-based Sequential Recommendation. | Bingsen Huang, Jinwei Luo, Weihao Du, Weike Pan, Zhong Ming |
| 2023 | ICDM | Privacy-Preserving Cross-Domain Sequential Recommendation. | Zhaohao Lin, Weike Pan, Zhong Ming |
| 2023 | ICDM | Variational Collective Graph AutoEncoder for Multi-behavior Recommendation. | Yang Liu, Qianzhen Rao, Weike Pan, Zhong Ming |
| 2023 | RecSys | BVAE: Behavior-aware Variational Autoencoder for Multi-Behavior Multi-Task Recommendation. | Qianzhen Rao, Yang Liu, Weike Pan, Zhong Ming |
| 2023 | RecSys | A Multi-view Graph Contrastive Learning Framework for Cross-Domain Sequential Recommendation. | Zitao Xu, Weike Pan, Zhong Ming |
| 2023 | WWW | DIWIFT: Discovering Instance-wise Influential Features for Tabular Data. | Dugang Liu, Pengxiang Cheng, Hong Zhu, Xing Tang, Yanyu Chen, Xiaoting Wang, Weike Pan, Zhong Ming, Xiuqiang He |
| 2022 | CIKM | Dual-Task Learning for Multi-Behavior Sequential Recommendation. | Jinwei Luo, Mingkai He, Xiaolin Lin, Weike Pan, Zhong Ming |
| 2022 | COLING | Augmenting Legal Judgment Prediction with Contrastive Case Relations. | Dugang Liu, Weihao Du, Lei Li, Weike Pan, Zhong Ming |
| 2022 | DSAA | ALTRec: Adversarial Learning for Autoencoder-based Tail Recommendation. | Jixiong Liu, Dugang Liu, Weike Pan, Zhong Ming |
| 2022 | IJCAI | Multi-Constraint Deep Reinforcement Learning for Smooth Action Control. | Guangyuan Zou, Ying He, F. Richard Yu, Longquan Chen, Weike Pan, Zhong Ming |
| 2022 | IJCNN | DeepSet: Deep Learning-based Recommendation with Setwise Preference. | Lin Li, Weike Pan, Guanliang Chen, Zhong Ming |
| 2022 | IJCNN | SQL-Rank++: A Novel Listwise Approach for Collaborative Ranking with Implicit Feedback. | Zheng Yuan, Dugang Liu, Weike Pan, Zhong Ming |
| 2022 | IJCNN | PAS: A Position-Aware Similarity Measurement for Sequential Recommendation. | Zijie Zeng, Jing Lin, Weike Pan, Zhong Ming, Zhongqi Lu |
| 2022 | IJCNN | $Q_{C}-DQN$: A Novel Constrained Reinforcement Learning Method for Computation Offloading in Multi-access Edge Computing. | Shen Zhuang, Chengxi Gao, Ying He, F. Richard Yu, Yuhang Wang, Weike Pan, Zhong Ming |
| 2022 | IWQoS | When Multi-access Edge Computing Meets Multi-area Intelligent Reflecting Surface: A Multi-agent Reinforcement Learning Approach. | Shen Zhuang, Ying He, F. Richard Yu, Chengxi Gao, Weike Pan, Zhong Ming |
| 2022 | KDD | User-Event Graph Embedding Learning for Context-Aware Recommendation. | Dugang Liu, Mingkai He, Jinwei Luo, Jiangxu Lin, Meng Wang, Xiaolian Zhang, Weike Pan, Zhong Ming |
| 2022 | RecSys | Aspect Re-distribution for Learning Better Item Embeddings in Sequential Recommendation. | Wei Cai, Weike Pan, Jingwen Mao, Zhechao Yu, Congfu Xu |
| 2022 | RecSys | Global and Personalized Graphs for Heterogeneous Sequential Recommendation by Learning Behavior Transitions and User Intentions. | Weixin Chen, Mingkai He, Yongxin Ni, Weike Pan, Li Chen, Zhong Ming |
| 2022 | WSDM | VAE++: Variational AutoEncoder for Heterogeneous One-Class Collaborative Filtering. | Wanqi Ma, Xiancong Chen, Weike Pan, Zhong Ming |
| 2021 | AAAI | FedRec++: Lossless Federated Recommendation with Explicit Feedback. | Feng Liang, Weike Pan, Zhong Ming |
| 2021 | RecSys | Transfer Learning in Collaborative Recommendation for Bias Reduction. | Zinan Lin, Dugang Liu, Weike Pan, Zhong Ming |
| 2021 | RecSys | FR-FMSS: Federated Recommendation via Fake Marks and Secret Sharing. | Zhaohao Lin, Weike Pan, Zhong Ming |
| 2021 | RecSys | Mitigating Confounding Bias in Recommendation via Information Bottleneck. | Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming |
| 2020 | ICONIP | Asymmetric Pairwise Preference Learning for Heterogeneous One-Class Collaborative Filtering. | Yongxin Ni, Zhuoxin Zhan, Weike Pan, Zhong Ming |
| 2020 | IJCNN | Adaptive Transfer Learning for Heterogeneous One-Class Collaborative Filtering. | Xiancong Chen, Weike Pan, Zhong Ming |
| 2020 | IJCNN | PAT: Preference-Aware Transfer Learning for Recommendation with Heterogeneous Feedback. | Feng Liang, Wei Dai, Yunfeng Huang, Weike Pan, Zhong Ming |
| 2020 | RecSys | FISSA: Fusing Item Similarity Models with Self-Attention Networks for Sequential Recommendation. | Jing Lin, Weike Pan, Zhong Ming |
| 2020 | SIGIR | A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data. | Dugang Liu, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming |
| 2019 | DASFAA | Modeling Item Categories for Effective Recommendation. | Bo Song, Yi Cao, Weike Pan, Congfu Xu |
| 2019 | RecSys | Asymmetric Bayesian personalized ranking for one-class collaborative filtering. | Shan Ouyang, Lin Li, Weike Pan, Zhong Ming |
| 2018 | RecSys | The 2nd workshop on intelligent recommender systems by knowledge transfer & learning (recsysKTL). | Shaghayegh (Sherry) Sahebi, Yong Zheng, Weike Pan, Ignacio Fernndez |
| 2017 | RecSys | Transfer Learning from APP Domain to News Domain for Dual Cold-Start Recommendation. | Jixiong Liu, Jiakun Shi, Wanling Cai, Bo Liu, Weike Pan, Qiang Yang, Zhong Ming |
| 2017 | RecSys | The 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning: (RecSysKTL). | Yong Zheng, Weike Pan, Shaghayegh (Sherry) Sahebi, Ignacio Fernndez |
| 2016 | CIKM | Where to Place Your Next Restaurant?: Optimal Restaurant Placement via Leveraging User-Generated Reviews. | Feng Wang, Li Chen, Weike Pan |
| 2014 | CIKM | HGMF: Hierarchical Group Matrix Factorization for Collaborative Recommendation. | Xin Wang, Weike Pan, Congfu Xu |
| 2014 | CIKM | Adaptive Pairwise Preference Learning for Collaborative Recommendation with Implicit Feedbacks. | Hao Zhong, Weike Pan, Congfu Xu, Zhi Yin, Zhong Ming |
| 2013 | IJCAI | GBPR: Group Preference Based Bayesian Personalized Ranking for One-Class Collaborative Filtering. | Weike Pan, Li Chen |
| 2013 | SDM | CoFiSet: Collaborative Filtering via Learning Pairwise Preferences over Item-sets. | Li Chen, Weike Pan |
| 2013 | SDM | Selective Transfer Learning for Cross Domain Recommendation. | Zhongqi Lu, Weike Pan, Evan Wei Xiang, Qiang Yang, Lili Zhao, Erheng Zhong |
| 2012 | AAAI | Transfer Learning in Collaborative Filtering with Uncertain Ratings. | Weike Pan, Evan Wei Xiang, Qiang Yang |
| 2011 | IJCAI | Transfer Learning to Predict Missing Ratings via Heterogeneous User Feedbacks. | Weike Pan, Nathan Nan Liu, Evan Wei Xiang, Qiang Yang |
| 2011 | IJCAI | Source-Selection-Free Transfer Learning. | Evan Wei Xiang, Sinno Jialin Pan, Weike Pan, Jian Su, Qiang Yang |
| 2011 | IJCNN | Structured clustering with automatic kernel adaptation. | Weike Pan, James T. Kwok |
| 2010 | AAAI | Transfer Learning in Collaborative Filtering for Sparsity Reduction. | Weike Pan, Evan Wei Xiang, Nathan Nan Liu, Qiang Yang |
| 2009 | ICDM | Accelerated Gradient Method for Multi-task Sparse Learning Problem. | Xi Chen, Weike Pan, James T. Kwok, Jaime G. Carbonell |