Accelerated Gradient Method for Multi-task Sparse Learning Problem. - Xi Chen 010; Weike Pan; James T. Kwok; Jaime G. Carbonell (ICDM, 2009)

Accelerated Gradient Methods for Stochastic Optimization and Online Learning. - Chonghai Hu; James T. Kwok; Weike Pan (NIPS, 2009)

Transfer Learning in Collaborative Filtering for Sparsity Reduction. - Weike Pan; Evan Wei Xiang; Nathan Nan Liu; Qiang Yang 001 (AAAI, 2010)

Incorporating the loss function into discriminative clustering of structured outputs. - Wenliang Zhong; Weike Pan; James T. Kwok; Ivor W. Tsang (IEEE Trans. Neural Networks, 2010)

Transfer Learning to Predict Missing Ratings via Heterogeneous User Feedbacks. - Weike Pan; Nathan Nan Liu; Evan Wei Xiang; Qiang Yang 001 (IJCAI, 2011)

Source-Selection-Free Transfer Learning. - Evan Wei Xiang; Sinno Jialin Pan; Weike Pan; Jian Su 002; Qiang Yang 001 (IJCAI, 2011)

Structured clustering with automatic kernel adaptation. - Weike Pan; James T. Kwok (IJCNN, 2011)

Transfer Learning for Text Mining. - Weike Pan; Erheng Zhong; Qiang Yang 001 (Mining Text Data, 2012)

Transfer Learning in Collaborative Filtering with Uncertain Ratings. - Weike Pan; Evan Wei Xiang; Qiang Yang 001 (AAAI, 2012)

GBPR: Group Preference Based Bayesian Personalized Ranking for One-Class Collaborative Filtering. - Weike Pan; Li Chen 009 (IJCAI, 2013)

CoFiSet: Collaborative Filtering via Learning Pairwise Preferences over Item-sets. - Li Chen 009; Weike Pan (SDM, 2013)

Selective Transfer Learning for Cross Domain Recommendation. - Zhongqi Lu; Weike Pan; Evan Wei Xiang; Qiang Yang 001; Lili Zhao; Erheng Zhong (SDM, 2013)

Recommendation for New Users with Partial Preferences by Integrating Product Reviews with Static Specifications. - Feng Wang 009; Weike Pan; Li Chen 009 (UMAP, 2013)

Transfer learning in heterogeneous collaborative filtering domains. - Weike Pan; Qiang Yang 001 (Artif. Intell., 2013)

HGMF: Hierarchical Group Matrix Factorization for Collaborative Recommendation. - Xin Wang 060; Weike Pan; Congfu Xu (CIKM, 2014)

Adaptive Pairwise Preference Learning for Collaborative Recommendation with Implicit Feedbacks. - Hao Zhong; Weike Pan; Congfu Xu; Zhi Yin 002; Zhong Ming 001 (CIKM, 2014)

Collaborative Recommendation with Auxiliary Data: A Transfer Learning View. - Weike Pan (CoRR, 2014)

Interaction-Rich Transfer Learning for Collaborative Filtering with Heterogeneous User Feedback. - Weike Pan; Zhong Ming 001 (IEEE Intell. Syst., 2014)

An Adaptive Fusion Algorithm for Spam Detection. - Congfu Xu; Baojun Su; Yunbiao Cheng; Weike Pan; Li Chen 009 (IEEE Intell. Syst., 2014)

Bird Flu Outbreak Prediction via Satellite Tracking. - Yuanchun Zhou; MingJie Tang; Weike Pan; Jinyan Li 001; Weihang Wang 001; Jing Shao; Liang Wu 011; Jianhui Li; Qiang Yang 001; Baoping Yan (IEEE Intell. Syst., 2014)

Compressed knowledge transfer via factorization machine for heterogeneous collaborative recommendation. - Weike Pan; Zhuode Liu; Zhong Ming 001; Hao Zhong; Xin Wang 060; Congfu Xu (Knowl. Based Syst., 2015)

Adaptive Bayesian personalized ranking for heterogeneous implicit feedbacks. - Weike Pan; Hao Zhong; Congfu Xu; Zhong Ming 001 (Knowl. Based Syst., 2015)

Where to Place Your Next Restaurant?: Optimal Restaurant Placement via Leveraging User-Generated Reviews. - Feng Wang 009; Li Chen 009; Weike Pan (CIKM, 2016)

Hybrid One-Class Collaborative Filtering for Job Recommendation. - Miao Liu 006; Zijie Zeng; Weike Pan; Xiaogang Peng; Zhiguang Shan; Zhong Ming 001 (SmartCom, 2016)

TOCCF: Time-Aware One-Class Collaborative Filtering. - Xinchao Chen; Weike Pan; Zhong Ming 001 (UMAP (Extended Proceedings), 2016)

RBPR: Role-based Bayesian Personalized Ranking for Heterogeneous One-Class Collaborative Filtering. - Xiaogang Peng; Yaofeng Chen; Yuchao Duan; Weike Pan; Zhong Ming 001 (UMAP (Extended Proceedings), 2016)

Transfer Learning for Heterogeneous One-Class Collaborative Filtering. - Weike Pan; Mengsi Liu; Zhong Ming 001 (IEEE Intell. Syst., 2016)

A survey of transfer learning for collaborative recommendation with auxiliary data. - Weike Pan (Neurocomputing, 2016)

Group Bayesian personalized ranking with rich interactions for one-class collaborative filtering. - Weike Pan; Li Chen 009 (Neurocomputing, 2016)

Mixed factorization for collaborative recommendation with heterogeneous explicit feedbacks. - Weike Pan; Shanchuan Xia; Zhuode Liu; Xiaogang Peng; Zhong Ming 001 (Inf. Sci., 2016)

Transfer Learning for Semisupervised Collaborative Recommendation. - Weike Pan; Qiang Yang 001; Yuchao Duan; Zhong Ming 001 (ACM Trans. Interact. Intell. Syst., 2016)

Transfer Learning from APP Domain to News Domain for Dual Cold-Start Recommendation. - Jixiong Liu; Jiakun Shi; Wanling Cai; Bo Liu 015; Weike Pan; Qiang Yang 001; Zhong Ming 001 (RecSysKTL, 2017)

The 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning: (RecSysKTL). - Yong Zheng 001; Weike Pan; Shaghayegh (Sherry) Sahebi; Ignacio Fernández (RecSys, 2017)

k-CoFi: Modeling k-Granularity Preference Context in Collaborative Filtering. - Yunfeng Huang; Zixiang Chen; Lin Li 039; Weike Pan; Zhiguang Shan; Zhong Ming 001 (SmartCom, 2017)

Collaborative Recommendation with Multiclass Preference Context. - Weike Pan; Zhong Ming 001 (IEEE Intell. Syst., 2017)

Big Data. - Weike Pan; Qiang Yang 001; Charu C. Aggarwal; Christoph Koch 001 (IEEE Intell. Syst., 2017)

Mixed similarity learning for recommendation with implicit feedback. - Mengsi Liu; Weike Pan; Miao Liu 006; Yaofeng Chen; Xiaogang Peng; Zhong Ming 001 (Knowl. Based Syst., 2017)

Transfer Learning for Behavior Ranking. - Weike Pan; Qiang Yang 001; Yuchao Duan; Ben Tan; Zhong Ming 001 (ACM Trans. Intell. Syst. Technol., 2017)

RLT: Residual-Loop Training in Collaborative Filtering for Combining Factorization and Global-Local Neighborhood. - Lei Li 042; Weike Pan; Li Chen 009; Zhong Ming 001 (ICWS, 2018)

MF-DMPC: Matrix Factorization with Dual Multiclass Preference Context for Rating Prediction. - Jing Lin 008; Weike Pan; Zhong Ming 001 (ICWS, 2018)

BIS: Bidirectional Item Similarity for Next-Item Recommendation. - Zijie Zeng; Weike Pan; Zhong Ming 001 (ICWS, 2018)

The 2nd workshop on intelligent recommender systems by knowledge transfer & learning (recsysKTL). - Shaghayegh (Sherry) Sahebi; Yong Zheng 001; Weike Pan; Ignacio Fernández (RecSys, 2018)

Context-Aware Collaborative Ranking. - Wei Dai; Weike Pan; Zhong Ming 001 (AIRS, 2019)

Modeling Item Categories for Effective Recommendation. - Bo Song; Yi Cao; Weike Pan; Congfu Xu (DASFAA (3), 2019)

Asymmetric Bayesian personalized ranking for one-class collaborative filtering. - Shan Ouyang 004; Lin Li 039; Weike Pan; Zhong Ming 001 (RecSys, 2019)

Neighborhood-enhanced transfer learning for one-class collaborative filtering. - Wanling Cai; Jiongbin Zheng; Weike Pan; Jing Lin 008; Lin Li 039; Li Chen 009; Xiaogang Peng; Zhong Ming 001 (Neurocomputing, 2019)

Personalized recommendation with implicit feedback via learning pairwise preferences over item-sets. - Weike Pan; Li Chen 009; Zhong Ming 001 (Knowl. Inf. Syst., 2019)

Transfer to Rank for Heterogeneous One-Class Collaborative Filtering. - Weike Pan; Qiang Yang 001; Wanling Cai; Yaofeng Chen; Qing Zhang; Xiaogang Peng; Zhong Ming 001 (ACM Trans. Inf. Syst., 2019)

Dual Similarity Learning for Heterogeneous One-Class Collaborative Filtering. - Xiancong Chen; Weike Pan; Zhong Ming 001 (BigComp, 2020)

Sequence-Aware Factored Mixed Similarity Model for Next-Item Recommendation. - Liulan Zhong; Jing Lin 008; Weike Pan; Zhong Ming 001 (BigComp, 2020)

Asymmetric Pairwise Preference Learning for Heterogeneous One-Class Collaborative Filtering. - Yongxin Ni; Zhuoxin Zhan; Weike Pan; Zhong Ming 001 (ICONIP (3), 2020)

Adaptive Transfer Learning for Heterogeneous One-Class Collaborative Filtering. - Xiancong Chen; Weike Pan; Zhong Ming 001 (IJCNN, 2020)

PAT: Preference-Aware Transfer Learning for Recommendation with Heterogeneous Feedback. - Feng Liang 003; Wei Dai; Yunfeng Huang; Weike Pan; Zhong Ming 001 (IJCNN, 2020)

FISSA: Fusing Item Similarity Models with Self-Attention Networks for Sequential Recommendation. - Jing Lin 008; Weike Pan; Zhong Ming 001 (RecSys, 2020)

A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data. - Dugang Liu; Pengxiang Cheng 002; Zhenhua Dong; Xiuqiang He 001; Weike Pan; Zhong Ming 001 (SIGIR, 2020)

k-Reciprocal nearest neighbors algorithm for one-class collaborative filtering. - Wei Cai; Weike Pan; Jixiong Liu; Zixiang Chen; Zhong Ming 001 (Neurocomputing, 2020)

Position-aware context attention for session-based recommendation. - Yi Cao; Weifeng Zhang 005; Bo Song; Weike Pan; Congfu Xu (Neurocomputing, 2020)

Conditional restricted Boltzmann machine for item recommendation. - Zixiang Chen; Wanqi Ma; Wei Dai; Weike Pan; Zhong Ming 001 (Neurocomputing, 2020)

Matrix factorization with heterogeneous multiclass preference context. - Jing Lin 008; Weike Pan; Lin Li 039; Zixiang Chen; Zhong Ming 001 (Neurocomputing, 2020)

CoFiGAN: Collaborative filtering by generative and discriminative training for one-class recommendation. - Jixiong Liu; Weike Pan; Zhong Ming 001 (Knowl. Based Syst., 2020)

Transfer to Rank for Top-N Recommendation. - Wei Dai; Qing Zhang; Weike Pan; Zhong Ming 001 (IEEE Trans. Big Data, 2020)

CoFi-points: Collaborative Filtering via Pointwise Preference Learning on User/Item-Set. - Lin Li 039; Weike Pan; Zhong Ming 001 (ACM Trans. Intell. Syst. Technol., 2020)

A Survey on Heterogeneous One-class Collaborative Filtering. - Xiancong Chen; Lin Li 039; Weike Pan; Zhong Ming 001 (ACM Trans. Inf. Syst., 2020)

Next-Item Recommendation via Collaborative Filtering with Bidirectional Item Similarity. - Zijie Zeng; Jing Lin 008; Lin Li 039; Weike Pan; Zhong Ming 001 (ACM Trans. Inf. Syst., 2020)

FedRec++: Lossless Federated Recommendation with Explicit Feedback. - Feng Liang 003; Weike Pan; Zhong Ming 001 (AAAI, 2021)

Transfer Learning in Collaborative Recommendation for Bias Reduction. - Zinan Lin 004; Dugang Liu; Weike Pan; Zhong Ming 001 (RecSys, 2021)

FR-FMSS: Federated Recommendation via Fake Marks and Secret Sharing. - Zhaohao Lin; Weike Pan; Zhong Ming 001 (RecSys, 2021)

Mitigating Confounding Bias in Recommendation via Information Bottleneck. - Dugang Liu; Pengxiang Cheng 002; Hong Zhu 003; Zhenhua Dong; Xiuqiang He 001; Weike Pan; Zhong Ming 001 (RecSys, 2021)

FedRec: Federated Recommendation With Explicit Feedback. - Guanyu Lin; Feng Liang 003; Weike Pan; Zhong Ming 001 (IEEE Intell. Syst., 2021)

Factored heterogeneous similarity model for recommendation with implicit feedback. - Yongxin Ni; Xiancong Chen; Weike Pan; Zixiang Chen; Zhong Ming 001 (Neurocomputing, 2021)

FCMF: Federated collective matrix factorization for heterogeneous collaborative filtering. - Enyue Yang; Yunfeng Huang; Feng Liang 003; Weike Pan; Zhong Ming 001 (Knowl. Based Syst., 2021)

Holistic Transfer to Rank for Top-N Recommendation. - Wanqi Ma; Xiaoxiao Liao; Wei Dai; Weike Pan; Zhong Ming 001 (ACM Trans. Interact. Intell. Syst., 2021)

Sequence-aware similarity learning for next-item recommendation. - Zhuoxin Zhan; Liulan Zhong; Jing Lin 008; Weike Pan; Zhong Ming 001 (J. Supercomput., 2021)

Dual-Task Learning for Multi-Behavior Sequential Recommendation. - Jinwei Luo; Mingkai He; Xiaolin Lin; Weike Pan; Zhong Ming 001 (CIKM, 2022)

Augmenting Legal Judgment Prediction with Contrastive Case Relations. - Dugang Liu; Weihao Du; Lei Li 042; Weike Pan; Zhong Ming 001 (COLING, 2022)

ALTRec: Adversarial Learning for Autoencoder-based Tail Recommendation. - Jixiong Liu; Dugang Liu; Weike Pan; Zhong Ming 001 (DSAA, 2022)

Multi-Constraint Deep Reinforcement Learning for Smooth Action Control. - Guangyuan Zou; Ying He 006; F. Richard Yu; Longquan Chen; Weike Pan; Zhong Ming 001 (IJCAI, 2022)

DeepSet: Deep Learning-based Recommendation with Setwise Preference. - Lin Li 039; Weike Pan; Guanliang Chen; Zhong Ming 001 (IJCNN, 2022)

SQL-Rank++: A Novel Listwise Approach for Collaborative Ranking with Implicit Feedback. - Zheng Yuan; Dugang Liu; Weike Pan; Zhong Ming 001 (IJCNN, 2022)

PAS: A Position-Aware Similarity Measurement for Sequential Recommendation. - Zijie Zeng; Jing Lin 008; Weike Pan; Zhong Ming 001; Zhongqi Lu (IJCNN, 2022)

$Q_{C}-DQN$: A Novel Constrained Reinforcement Learning Method for Computation Offloading in Multi-access Edge Computing. - Shen Zhuang; Chengxi Gao; Ying He 006; F. Richard Yu; Yuhang Wang; Weike Pan; Zhong Ming 001 (IJCNN, 2022)

When Multi-access Edge Computing Meets Multi-area Intelligent Reflecting Surface: A Multi-agent Reinforcement Learning Approach. - Shen Zhuang; Ying He 006; F. Richard Yu; Chengxi Gao; Weike Pan; Zhong Ming 001 (IWQoS, 2022)

User-Event Graph Embedding Learning for Context-Aware Recommendation. - Dugang Liu; Mingkai He; Jinwei Luo; Jiangxu Lin; Meng Wang 009; Xiaolian Zhang; Weike Pan; Zhong Ming 001 (KDD, 2022)

Aspect Re-distribution for Learning Better Item Embeddings in Sequential Recommendation. - Wei Cai; Weike Pan; Jingwen Mao; Zhechao Yu; Congfu Xu (RecSys, 2022)

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 009; Zhong Ming 001 (RecSys, 2022)

VAE++: Variational AutoEncoder for Heterogeneous One-Class Collaborative Filtering. - Wanqi Ma; Xiancong Chen; Weike Pan; Zhong Ming 001 (WSDM, 2022)

Collaborative filtering with implicit feedback via learning pairwise preferences over user-groups and item-sets. - Yongxin Ni; Shan Ouyang 004; Lin Li 039; Weike Pan; Zhong Ming 001 (CCF Trans. Pervasive Comput. Interact., 2022)

PrivateRec: Differentially Private Training and Serving for Federated News Recommendation. - Ruixuan Liu; Fangzhao Wu; Chuhan Wu; Yanlin Wang 001; Yang Cao 011; Lingjuan Lyu; Weike Pan; Yun Chen 007; Hong Chen 001; Xing Xie 001 (CoRR, 2022)

An Efficient Industrial Federated Learning Framework for AIoT: A Face Recognition Application. - Youlong Ding; Xueyang Wu 001; Zhitao Li 005; Zeheng Wu; Shengqi Tan; Qian Xu 005; Weike Pan; Qiang Yang 001 (CoRR, 2022)

TransRec++: Translation-based sequential recommendation with heterogeneous feedback. - Zhuoxin Zhan; Mingkai He; Weike Pan; Zhong Ming 001 (Frontiers Comput. Sci., 2022)

BAR: Behavior-aware recommendation for sequential heterogeneous one-class collaborative filtering. - Mingkai He; Weike Pan; Zhong Ming 001 (Inf. Sci., 2022)

Federated one-class collaborative filtering via privacy-aware non-sampling matrix factorization. - Pengqing Hu; Enyue Yang; Weike Pan; Xiaogang Peng; Zhong Ming 001 (Knowl. Based Syst., 2022)

SCF: Structured collaborative filtering with heterogeneous implicit feedback. - Wanqi Ma; Weike Pan; Zhong Ming 001 (Knowl. Based Syst., 2022)

Joint Optimization of Sensing, Decision-Making and Motion-Controlling for Autonomous Vehicles: A Deep Reinforcement Learning Approach. - Longquan Chen; Ying He 006; Qiang Wang 020; Weike Pan; Zhong Ming 001 (IEEE Trans. Veh. Technol., 2022)

Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation. - Dugang Liu; Yang Qiao; Xing Tang 007; Liang Chen 009; Xiuqiang He 001; Weike Pan; Zhong Ming 001 (DASFAA (4), 2023)

Cascaded Cross Attention for Review-based Sequential Recommendation. - Bingsen Huang; Jinwei Luo; Weihao Du; Weike Pan; Zhong Ming 001 (ICDM, 2023)

Privacy-Preserving Cross-Domain Sequential Recommendation. - Zhaohao Lin; Weike Pan; Zhong Ming 001 (ICDM, 2023)

Variational Collective Graph AutoEncoder for Multi-behavior Recommendation. - Yang Liu 322; Qianzhen Rao; Weike Pan; Zhong Ming 001 (ICDM, 2023)

BVAE: Behavior-aware Variational Autoencoder for Multi-Behavior Multi-Task Recommendation. - Qianzhen Rao; Yang Liu 322; Weike Pan; Zhong Ming 001 (RecSys, 2023)

A Multi-view Graph Contrastive Learning Framework for Cross-Domain Sequential Recommendation. - Zitao Xu; Weike Pan; Zhong Ming 001 (RecSys, 2023)

DIWIFT: Discovering Instance-wise Influential Features for Tabular Data. - Dugang Liu; Pengxiang Cheng 002; Hong Zhu 003; Xing Tang 007; Yanyu Chen; Xiaoting Wang; Weike Pan; Zhong Ming 001; Xiuqiang He 001 (WWW, 2023)

DPFormer: Learning Differentially Private Transformer on Long-Tailed Data. - Youlong Ding; Xueyang Wu 001; Hao Wang 014; Weike Pan (CoRR, 2023)

GNN4FR: A Lossless GNN-based Federated Recommendation Framework. - Guowei Wu; Weike Pan; Zhong Ming 001 (CoRR, 2023)

A Survey on Multi-Behavior Sequential Recommendation. - Xiaoqing Chen 004; Zhitao Li 005; Weike Pan; Zhong Ming 001 (CoRR, 2023)

A Novel Generalized Meta Hierarchical Reinforcement Learning Method for Autonomous Vehicles. - Longquan Chen; Ying He 006; Weike Pan; F. Richard Yu; Zhong Ming 001 (IEEE Netw., 2023)

FLAG: A Feedback-aware Local and Global Model for Heterogeneous Sequential Recommendation. - Mingkai He; Jing Lin 008; Jinwei Luo; Weike Pan; Zhong Ming 001 (ACM Trans. Intell. Syst. Technol., 2023)

Debiased Representation Learning in Recommendation via Information Bottleneck. - Dugang Liu; Pengxiang Cheng 002; Hong Zhu 003; Zhenhua Dong; Xiuqiang He 001; Weike Pan; Zhong Ming 001 (Trans. Recomm. Syst., 2023)

Collaborative filtering with sequential implicit feedback via learning users' preferences over item-sets. - Jing Lin 008; Mingkai He; Weike Pan; Zhong Ming 001 (Inf. Sci., 2023)

A Generic Federated Recommendation Framework via Fake Marks and Secret Sharing. - Zhaohao Lin; Weike Pan; Qiang Yang 001; Zhong Ming 001 (ACM Trans. Inf. Syst., 2023)

KDCRec: Knowledge Distillation for Counterfactual Recommendation via Uniform Data. - Dugang Liu; Pengxiang Cheng 002; Zinan Lin 004; Jinwei Luo; Zhenhua Dong; Xiuqiang He 001; Weike Pan; Zhong Ming 001 (IEEE Trans. Knowl. Data Eng., 2023)

BGNN: Behavior-aware graph neural network for heterogeneous session-based recommendation. - Jinwei Luo; Mingkai He; Weike Pan; Zhong Ming 001 (Frontiers Comput. Sci., 2023)

Bounding System-Induced Biases in Recommender Systems with a Randomized Dataset. - Dugang Liu; Pengxiang Cheng 002; Zinan Lin 004; Xiaolian Zhang; Zhenhua Dong; Rui Zhang 003; Xiuqiang He 001; Weike Pan; Zhong Ming 001 (ACM Trans. Inf. Syst., 2023)

Privacy-preserving graph convolution network for federated item recommendation. - Pengqing Hu; Zhaohao Lin; Weike Pan; Qiang Yang 001; Xiaogang Peng; Zhong Ming 001 (Artif. Intell., 2023)

Transfer learning for collaborative recommendation with biased and unbiased data. - Zinan Lin 004; Dugang Liu; Weike Pan; Qiang Yang 001; Zhong Ming 001 (Artif. Intell., 2023)

Delving into Differentially Private Transformer. - Youlong Ding; Xueyang Wu 001; Yining Meng; Yonggang Luo; Hao Wang 014; Weike Pan (ICML, 2024)

A Survey on Cross-Domain Sequential Recommendation. - Shu Chen 002; Zitao Xu; Weike Pan; Qiang Yang 001; Zhong Ming 001 (IJCAI, 2024)

Explicit and Implicit Modeling via Dual-Path Transformer for Behavior Set-informed Sequential Recommendation. - Ming Chen; Weike Pan; Zhong Ming 001 (KDD, 2024)

Federated Graph Learning for Cross-Domain Recommendation. - Ziqi Yang; Zhaopeng Peng; Zihui Wang; Jianzhong Qi 001; Chaochao Chen 001; Weike Pan; Chenglu Wen; Cheng Wang 003; Xiaoliang Fan (NeurIPS, 2024)

Dynamic Stage-aware User Interest Learning for Heterogeneous Sequential Recommendation. - Weixin Li; Xiaolin Lin; Weike Pan; Zhong Ming 001 (RecSys, 2024)

A Generic Behavior-Aware Data Augmentation Framework for Sequential Recommendation. - Jing Xiao; Weike Pan; Zhong Ming 001 (SIGIR, 2024)

Multi-Sequence Attentive User Representation Learning for Side-information Integrated Sequential Recommendation. - Xiaolin Lin; Jinwei Luo; Junwei Pan; Weike Pan; Zhong Ming 001; Xun Liu; Shudong Huang; Jie Jiang 015 (WSDM, 2024)

Sample Enrichment via Temporary Operations on Subsequences for Sequential Recommendation. - Shu Chen 002; Jinwei Luo; Weike Pan; Jiangxing Yu; Xin Huang; Zhong Ming 001 (CoRR, 2024)

Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation. - Guowei Wu; Weike Pan; Qiang Yang 001; Zhong Ming 001 (CoRR, 2024)

A Survey on Sequential Recommendation. - Liwei Pan; Weike Pan; Meiyan Wei; Hongzhi Yin; Zhong Ming 001 (CoRR, 2024)

Transfer learning in cross-domain sequential recommendation. - Zitao Xu; Weike Pan; Zhong Ming 001 (Inf. Sci., 2024)

FedCORE: Federated Learning for Cross-Organization Recommendation Ecosystem. - Zhitao Li 005; Xueyang Wu 001; Weike Pan; Youlong Ding; Zeheng Wu; Shengqi Tan; Qian Xu 005; Qiang Yang 001; Zhong Ming 001 (IEEE Trans. Knowl. Data Eng., 2024)

BMLP: behavior-aware MLP for heterogeneous sequential recommendation. - Weixin Li; Yuhao Wu; Yang Liu 322; Weike Pan; Zhong Ming 001 (Frontiers Comput. Sci., 2024)

A Novel Reinforcement Learning Method for Autonomous Driving With Intermittent Vehicle-to-Everything (V2X) Communications. - Longquan Chen; Ying He 006; F. Richard Yu; Weike Pan; Zhong Ming 001 (IEEE Trans. Veh. Technol., 2024)

Decentralized Federated Recommendation with Privacy-aware Structured Client-level Graph. - Zhitao Li 005; Zhaohao Lin; Feng Liang 003; Weike Pan; Qiang Yang 001; Zhong Ming 001 (ACM Trans. Intell. Syst. Technol., 2024)

Discrete Federated Multi-behavior Recommendation for Privacy-Preserving Heterogeneous One-Class Collaborative Filtering. - Enyue Yang; Weike Pan; Qiang Yang 001; Zhong Ming 001 (ACM Trans. Inf. Syst., 2024)

Towards Interest Drift-driven User Representation Learning in Sequential Recommendation. - Xiaolin Lin; Weike Pan; Zhong Ming 001 (SIGIR, 2025)

Heterogeneous Graph Transfer Learning for Category-aware Cross-Domain Sequential Recommendation. - Zitao Xu; Xiaoqing Chen 004; Weike Pan; Zhong Ming 001 (WWW, 2025)

A survey on cross-user federated recommendation. - Enyue Yang; Yudi Xiong; Wei Yuan; Weike Pan; Qiang Yang 001; Zhong Ming 001 (Sci. China Inf. Sci., 2025)

Ownership Verification for Federated Recommendation. - Enyue Yang; Weike Pan; Lixin Fan; Hanlin Gu; Zhitao Li 005; Qiang Yang 001; Zhong Ming 001 (ACM Trans. Inf. Syst., 2025)

Leave No One Behind: Fairness-Aware Cross-Domain Recommender Systems for Non-Overlapping Users. - Weixin Chen; Yuhan Zhao 001; Li Chen 009; Weike Pan (CoRR, 2025)

Camouflaged Variational Graph AutoEncoder Against Attribute Inference Attacks for Cross-Domain Recommendation. - Yudi Xiong; Yongxin Guo; Weike Pan; Qiang Yang 001; Zhong Ming 001; Xiaojin Zhang 002; Han Yu 001; Tao Lin; Xiaoying Tang 002 (IEEE Trans. Knowl. Data Eng., 2025)

VCGAE++: variational collective graph autoEncoder for multi-behavior recommendation. - Yingxuan Zhuang; Yang Liu 322; Weike Pan; Zhong Ming 001 (Knowl. Inf. Syst., 2025)

A Multi-view Graph Contrastive Learning Framework for Cross-Domain Sequential Recommendation. - Zitao Xu; Shu Chen 002; Weike Pan; Zhong Ming 001 (Trans. Recomm. Syst., 2025)