Weike Pan

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 108

Top Venues

Publications

Shu Chen, Jinwei Luo, Weike Pan, Jiangxing Yu, Xin Huang, Zhong Ming
Sample Enrichment via Temporary Operations on Subsequences for Sequential Recommendation. CoRR (2024)
Jing Xiao, Weike Pan, Zhong Ming
A Generic Behavior-Aware Data Augmentation Framework for Sequential Recommendation. SIGIR (2024)
Shu Chen, Zitao Xu, Weike Pan, Qiang Yang, Zhong Ming
A Survey on Cross-Domain Sequential Recommendation. CoRR (2024)
Longquan Chen, Ying He, F. Richard Yu, Weike Pan, Zhong Ming
A Novel Reinforcement Learning Method for Autonomous Driving With Intermittent Vehicle-to-Everything (V2X) Communications. IEEE Trans. Veh. Technol. 73 (6) (2024)
Xiaolin Lin, Jinwei Luo, Junwei Pan, Weike Pan, Zhong Ming, Xun Liu, Shudong Huang, Jie Jiang
Multi-Sequence Attentive User Representation Learning for Side-information Integrated Sequential Recommendation. WSDM (2024)
Zitao Xu, Weike Pan, Zhong Ming
Transfer learning in cross-domain sequential recommendation. Inf. Sci. 669 (2024)
Ming Chen, Weike Pan, Zhong Ming
Explicit and Implicit Modeling via Dual-Path Transformer for Behavior Set-informed Sequential Recommendation. KDD (2024)
Zhaohao Lin, Weike Pan, Zhong Ming
Privacy-Preserving Cross-Domain Sequential Recommendation. CoRR (2024)
Weixin Li, Yuhao Wu, Yang Liu, Weike Pan, Zhong Ming
BMLP: Behavior-aware MLP for Heterogeneous Sequential Recommendation. CoRR (2024)
Enyue Yang, Weike Pan, Qiang Yang, Zhong Ming
Discrete Federated Multi-behavior Recommendation for Privacy-Preserving Heterogeneous One-Class Collaborative Filtering. ACM Trans. Inf. Syst. 42 (5) (2024)
Weixin Li, Yuhao Wu, Yang Liu, Weike Pan, Zhong Ming
BMLP: behavior-aware MLP for heterogeneous sequential recommendation. Frontiers Comput. Sci. 18 (3) (2024)
Youlong Ding, Xueyang Wu, Yining Meng, Yonggang Luo, Hao Wang, Weike Pan
Delving into Differentially Private Transformer. CoRR (2024)
Youlong Ding, Xueyang Wu, Hao Wang, Weike Pan
DPFormer: Learning Differentially Private Transformer on Long-Tailed Data. CoRR (2023)
Guowei Wu, Weike Pan, Zhong Ming
GNN4FR: A Lossless GNN-based Federated Recommendation Framework. CoRR (2023)
Pengqing Hu, Zhaohao Lin, Weike Pan, Qiang Yang, Xiaogang Peng, Zhong Ming
Privacy-preserving graph convolution network for federated item recommendation. Artif. Intell. 324 (2023)
Jing Lin, Mingkai He, Weike Pan, Zhong Ming
Collaborative filtering with sequential implicit feedback via learning users' preferences over item-sets. Inf. Sci. 621 (2023)
Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Weike Pan, Zhong Ming
Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation. CoRR (2023)
Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming
Debiased Representation Learning in Recommendation via Information Bottleneck. Trans. Recomm. Syst. 1 (1) (2023)
Zinan Lin, Dugang Liu, Weike Pan, Qiang Yang, Zhong Ming
Transfer learning for collaborative recommendation with biased and unbiased data. Artif. Intell. 324 (2023)
Dugang Liu, Pengxiang Cheng, Zinan Lin, Xiaolian Zhang, Zhenhua Dong, Rui Zhang, Xiuqiang He, Weike Pan, Zhong Ming
Bounding System-Induced Biases in Recommender Systems with a Randomized Dataset. ACM Trans. Inf. Syst. 41 (4) (2023)
Zhaohao Lin, Weike Pan, Qiang Yang, Zhong Ming
A Generic Federated Recommendation Framework via Fake Marks and Secret Sharing. ACM Trans. Inf. Syst. 41 (2) (2023)
Qianzhen Rao, Yang Liu, Weike Pan, Zhong Ming
BVAE: Behavior-aware Variational Autoencoder for Multi-Behavior Multi-Task Recommendation. RecSys (2023)
Zhaohao Lin, Weike Pan, Zhong Ming
Privacy-Preserving Cross-Domain Sequential Recommendation. ICDM (2023)
Dugang Liu, Pengxiang Cheng, Hong Zhu, Xing Tang, Yanyu Chen, Xiaoting Wang, Weike Pan, Zhong Ming, Xiuqiang He
DIWIFT: Discovering Instance-wise Influential Features for Tabular Data. WWW (2023)
Xiaoqing Chen, Zhitao Li, Weike Pan, Zhong Ming
A Survey on Multi-Behavior Sequential Recommendation. CoRR (2023)
Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Weike Pan, Zhong Ming
Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation. DASFAA (4) (2023)
Dugang Liu, Pengxiang Cheng, Zinan Lin, Xiaolian Zhang, Zhenhua Dong, Rui Zhang, Xiuqiang He, Weike Pan, Zhong Ming
Bounding System-Induced Biases in Recommender Systems with A Randomized Dataset. CoRR (2023)
Bingsen Huang, Jinwei Luo, Weihao Du, Weike Pan, Zhong Ming
Cascaded Cross Attention for Review-based Sequential Recommendation. ICDM (2023)
Dugang Liu, Pengxiang Cheng, Zinan Lin, Jinwei Luo, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming
KDCRec: Knowledge Distillation for Counterfactual Recommendation via Uniform Data. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Jinwei Luo, Mingkai He, Weike Pan, Zhong Ming
BGNN: Behavior-aware graph neural network for heterogeneous session-based recommendation. Frontiers Comput. Sci. 17 (5) (2023)
Yang Liu, Qianzhen Rao, Weike Pan, Zhong Ming
Variational Collective Graph AutoEncoder for Multi-behavior Recommendation. ICDM (2023)
Longquan Chen, Ying He, Weike Pan, F. Richard Yu, Zhong Ming
A Novel Generalized Meta Hierarchical Reinforcement Learning Method for Autonomous Vehicles. IEEE Netw. 37 (4) (2023)
Zitao Xu, Weike Pan, Zhong Ming
A Multi-view Graph Contrastive Learning Framework for Cross-Domain Sequential Recommendation. RecSys (2023)
Mingkai He, Jing Lin, Jinwei Luo, Weike Pan, Zhong Ming
FLAG: A Feedback-aware Local and Global Model for Heterogeneous Sequential Recommendation. ACM Trans. Intell. Syst. Technol. 14 (1) (2023)
Lin Li, Weike Pan, Guanliang Chen, Zhong Ming
DeepSet: Deep Learning-based Recommendation with Setwise Preference. IJCNN (2022)
Shen Zhuang, Chengxi Gao, Ying He, F. Richard Yu, Yuhang Wang, Weike Pan, Zhong Ming
$Q_{C}-DQN$: A Novel Constrained Reinforcement Learning Method for Computation Offloading in Multi-access Edge Computing. IJCNN (2022)
Pengqing Hu, Enyue Yang, Weike Pan, Xiaogang Peng, Zhong Ming
Federated one-class collaborative filtering via privacy-aware non-sampling matrix factorization. Knowl. Based Syst. 253 (2022)
Dugang Liu, Mingkai He, Jinwei Luo, Jiangxu Lin, Meng Wang, Xiaolian Zhang, Weike Pan, Zhong Ming
User-Event Graph Embedding Learning for Context-Aware Recommendation. KDD (2022)
Weixin Chen, Mingkai He, Yongxin Ni, Weike Pan, Li Chen, Zhong Ming
Global and Personalized Graphs for Heterogeneous Sequential Recommendation by Learning Behavior Transitions and User Intentions. RecSys (2022)
Longquan Chen, Ying He, Qiang Wang, Weike Pan, Zhong Ming
Joint Optimization of Sensing, Decision-Making and Motion-Controlling for Autonomous Vehicles: A Deep Reinforcement Learning Approach. IEEE Trans. Veh. Technol. 71 (5) (2022)
Wanqi Ma, Weike Pan, Zhong Ming
SCF: Structured collaborative filtering with heterogeneous implicit feedback. Knowl. Based Syst. 258 (2022)
Shen Zhuang, Ying He, F. Richard Yu, Chengxi Gao, Weike Pan, Zhong Ming
When Multi-access Edge Computing Meets Multi-area Intelligent Reflecting Surface: A Multi-agent Reinforcement Learning Approach. IWQoS (2022)
Dugang Liu, Weihao Du, Lei Li, Weike Pan, Zhong Ming
Augmenting Legal Judgment Prediction with Contrastive Case Relations. COLING (2022)
Jixiong Liu, Dugang Liu, Weike Pan, Zhong Ming
ALTRec: Adversarial Learning for Autoencoder-based Tail Recommendation. DSAA (2022)
Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Yang Cao, Lingjuan Lyu, Weike Pan, Yun Chen, Hong Chen, Xing Xie
PrivateRec: Differentially Private Training and Serving for Federated News Recommendation. CoRR (2022)
Zijie Zeng, Jing Lin, Weike Pan, Zhong Ming, Zhongqi Lu
PAS: A Position-Aware Similarity Measurement for Sequential Recommendation. CoRR (2022)
Youlong Ding, Xueyang Wu, Zhitao Li, Zeheng Wu, Shengqi Tan, Qian Xu, Weike Pan, Qiang Yang
An Efficient Industrial Federated Learning Framework for AIoT: A Face Recognition Application. CoRR (2022)
Zhuoxin Zhan, Mingkai He, Weike Pan, Zhong Ming
TransRec++: Translation-based sequential recommendation with heterogeneous feedback. Frontiers Comput. Sci. 16 (2) (2022)
Wanqi Ma, Xiancong Chen, Weike Pan, Zhong Ming
VAE++: Variational AutoEncoder for Heterogeneous One-Class Collaborative Filtering. WSDM (2022)
Zheng Yuan, Dugang Liu, Weike Pan, Zhong Ming
SQL-Rank++: A Novel Listwise Approach for Collaborative Ranking with Implicit Feedback. IJCNN (2022)
Jinwei Luo, Mingkai He, Xiaolin Lin, Weike Pan, Zhong Ming
Dual-Task Learning for Multi-Behavior Sequential Recommendation. CIKM (2022)
Wei Cai, Weike Pan, Jingwen Mao, Zhechao Yu, Congfu Xu
Aspect Re-distribution for Learning Better Item Embeddings in Sequential Recommendation. RecSys (2022)
Mingkai He, Weike Pan, Zhong Ming
BAR: Behavior-aware recommendation for sequential heterogeneous one-class collaborative filtering. Inf. Sci. 608 (2022)
Pengxiang Cheng, Hong Zhu, Xing Tang, Dugang Liu, Yanyu Chen, Xiaoting Wang, Weike Pan, Zhong Ming, Xiuqiang He
DIWIFT: Discovering Instance-wise Influential Features for Tabular Data. CoRR (2022)
Guangyuan Zou, Ying He, F. Richard Yu, Longquan Chen, Weike Pan, Zhong Ming
Multi-Constraint Deep Reinforcement Learning for Smooth Action Control. IJCAI (2022)
Zijie Zeng, Jing Lin, Weike Pan, Zhong Ming, Zhongqi Lu
PAS: A Position-Aware Similarity Measurement for Sequential Recommendation. IJCNN (2022)
Yongxin Ni, Shan Ouyang, Lin Li, Weike Pan, Zhong Ming
Collaborative filtering with implicit feedback via learning pairwise preferences over user-groups and item-sets. CCF Trans. Pervasive Comput. Interact. 4 (1) (2022)
Guanyu Lin, Feng Liang, Weike Pan, Zhong Ming
FedRec: Federated Recommendation With Explicit Feedback. IEEE Intell. Syst. 36 (5) (2021)
Zhaohao Lin, Weike Pan, Zhong Ming
FR-FMSS: Federated Recommendation via Fake Marks and Secret Sharing. RecSys (2021)
Enyue Yang, Yunfeng Huang, Feng Liang, Weike Pan, Zhong Ming
FCMF: Federated collective matrix factorization for heterogeneous collaborative filtering. Knowl. Based Syst. 220 (2021)
Feng Liang, Weike Pan, Zhong Ming
FedRec++: Lossless Federated Recommendation with Explicit Feedback. AAAI (2021)
Wanqi Ma, Xiaoxiao Liao, Wei Dai, Weike Pan, Zhong Ming
Holistic Transfer to Rank for Top-N Recommendation. ACM Trans. Interact. Intell. Syst. 11 (1) (2021)
Zhuoxin Zhan, Liulan Zhong, Jing Lin, Weike Pan, Zhong Ming
Sequence-aware similarity learning for next-item recommendation. J. Supercomput. 77 (7) (2021)
Zinan Lin, Dugang Liu, Weike Pan, Zhong Ming
Transfer Learning in Collaborative Recommendation for Bias Reduction. RecSys (2021)
Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming
Mitigating Confounding Bias in Recommendation via Information Bottleneck. RecSys (2021)
Yongxin Ni, Xiancong Chen, Weike Pan, Zixiang Chen, Zhong Ming
Factored heterogeneous similarity model for recommendation with implicit feedback. Neurocomputing 455 (2021)
Wei Cai, Weike Pan, Jixiong Liu, Zixiang Chen, Zhong Ming
-Reciprocal nearest neighbors algorithm for one-class collaborative filtering. Neurocomputing 381 (2020)
Lin Li, Weike Pan, Zhong Ming
CoFi-points: Collaborative Filtering via Pointwise Preference Learning on User/Item-Set. ACM Trans. Intell. Syst. Technol. 11 (4) (2020)
Dugang Liu, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming
A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data. SIGIR (2020)
Xiancong Chen, Weike Pan, Zhong Ming
Adaptive Transfer Learning for Heterogeneous One-Class Collaborative Filtering. IJCNN (2020)
Zixiang Chen, Wanqi Ma, Wei Dai, Weike Pan, Zhong Ming
Conditional restricted Boltzmann machine for item recommendation. Neurocomputing 385 (2020)
Liulan Zhong, Jing Lin, Weike Pan, Zhong Ming
Sequence-Aware Factored Mixed Similarity Model for Next-Item Recommendation. BigComp (2020)
Xiancong Chen, Lin Li, Weike Pan, Zhong Ming
A Survey on Heterogeneous One-class Collaborative Filtering. ACM Trans. Inf. Syst. 38 (4) (2020)
Xiancong Chen, Weike Pan, Zhong Ming
Dual Similarity Learning for Heterogeneous One-Class Collaborative Filtering. BigComp (2020)
Jing Lin, Weike Pan, Lin Li, Zixiang Chen, Zhong Ming
Matrix factorization with heterogeneous multiclass preference context. Neurocomputing 390 (2020)
Jing Lin, Weike Pan, Zhong Ming
FISSA: Fusing Item Similarity Models with Self-Attention Networks for Sequential Recommendation. RecSys (2020)
Wei Dai, Qing Zhang, Weike Pan, Zhong Ming
Transfer to Rank for Top-N Recommendation. IEEE Trans. Big Data 6 (4) (2020)
Yongxin Ni, Zhuoxin Zhan, Weike Pan, Zhong Ming
Asymmetric Pairwise Preference Learning for Heterogeneous One-Class Collaborative Filtering. ICONIP (3) (2020)
Yi Cao, Weifeng Zhang, Bo Song, Weike Pan, Congfu Xu
Position-aware context attention for session-based recommendation. Neurocomputing 376 (2020)
Zijie Zeng, Jing Lin, Lin Li, Weike Pan, Zhong Ming
Next-Item Recommendation via Collaborative Filtering with Bidirectional Item Similarity. ACM Trans. Inf. Syst. 38 (1) (2020)
Feng Liang, Wei Dai, Yunfeng Huang, Weike Pan, Zhong Ming
PAT: Preference-Aware Transfer Learning for Recommendation with Heterogeneous Feedback. IJCNN (2020)
Jixiong Liu, Weike Pan, Zhong Ming
CoFiGAN: Collaborative filtering by generative and discriminative training for one-class recommendation. Knowl. Based Syst. 191 (2020)
Bo Song, Yi Cao, Weike Pan, Congfu Xu
Modeling Item Categories for Effective Recommendation. DASFAA (3) (2019)
Weike Pan, Qiang Yang, Wanling Cai, Yaofeng Chen, Qing Zhang, Xiaogang Peng, Zhong Ming
Transfer to Rank for Heterogeneous One-Class Collaborative Filtering. ACM Trans. Inf. Syst. 37 (1) (2019)
Wanling Cai, Jiongbin Zheng, Weike Pan, Jing Lin, Lin Li, Li Chen, Xiaogang Peng, Zhong Ming
Neighborhood-enhanced transfer learning for one-class collaborative filtering. Neurocomputing 341 (2019)
Weike Pan, Li Chen, Zhong Ming
Personalized recommendation with implicit feedback via learning pairwise preferences over item-sets. Knowl. Inf. Syst. 58 (2) (2019)
Shan Ouyang, Lin Li, Weike Pan, Zhong Ming
Asymmetric Bayesian personalized ranking for one-class collaborative filtering. RecSys (2019)
Wei Dai, Weike Pan, Zhong Ming
Context-Aware Collaborative Ranking. AIRS (2019)
Jing Lin, Weike Pan, Zhong Ming
MF-DMPC: Matrix Factorization with Dual Multiclass Preference Context for Rating Prediction. ICWS (2018)
Shaghayegh (Sherry) Sahebi, Yong Zheng, Weike Pan, Ignacio Fernández
The 2nd workshop on intelligent recommender systems by knowledge transfer & learning (recsysKTL). RecSys (2018)
Zijie Zeng, Weike Pan, Zhong Ming
BIS: Bidirectional Item Similarity for Next-Item Recommendation. ICWS (2018)
Lei Li, Weike Pan, Li Chen, Zhong Ming
RLT: Residual-Loop Training in Collaborative Filtering for Combining Factorization and Global-Local Neighborhood. ICWS (2018)
Weike Pan, Qiang Yang, Charu C. Aggarwal, Christoph Koch
Big Data. IEEE Intell. Syst. 32 (2) (2017)
Weike Pan, Zhong Ming
Collaborative Recommendation with Multiclass Preference Context. IEEE Intell. Syst. 32 (2) (2017)
Mengsi Liu, Weike Pan, Miao Liu, Yaofeng Chen, Xiaogang Peng, Zhong Ming
Mixed similarity learning for recommendation with implicit feedback. Knowl. Based Syst. 119 (2017)
Jixiong Liu, Jiakun Shi, Wanling Cai, Bo Liu, Weike Pan, Qiang Yang, Zhong Ming
Transfer Learning from APP Domain to News Domain for Dual Cold-Start Recommendation. RecSysKTL (2017)
Yong Zheng, Weike Pan, Shaghayegh (Sherry) Sahebi, Ignacio Fernández
The 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning: (RecSysKTL). RecSys (2017)
Yunfeng Huang, Zixiang Chen, Lin Li, Weike Pan, Zhiguang Shan, Zhong Ming
k-CoFi: Modeling k-Granularity Preference Context in Collaborative Filtering. SmartCom (2017)
Weike Pan, Qiang Yang, Yuchao Duan, Ben Tan, Zhong Ming
Transfer Learning for Behavior Ranking. ACM Trans. Intell. Syst. Technol. 8 (5) (2017)
Weike Pan, Qiang Yang, Yuchao Duan, Zhong Ming
Transfer Learning for Semisupervised Collaborative Recommendation. ACM Trans. Interact. Intell. Syst. 6 (2) (2016)

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Publication Activity (10 Years)

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Weike Pan