Weike Pan
Orcid: 0000-0001-6326-9531Affiliations:
- Shenzhen University, China
- Hong Kong University of Science and Technology (former)
According to our database1,
Weike Pan
authored at least 122 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
Discrete Federated Multi-behavior Recommendation for Privacy-Preserving Heterogeneous One-Class Collaborative Filtering.
ACM Trans. Inf. Syst., September, 2024
A Novel Reinforcement Learning Method for Autonomous Driving With Intermittent Vehicle-to-Everything (V2X) Communications.
IEEE Trans. Veh. Technol., June, 2024
Frontiers Comput. Sci., June, 2024
Multi-Sequence Attentive User Representation Learning for Side-information Integrated Sequential Recommendation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
2023
Artif. Intell., November, 2023
Artif. Intell., November, 2023
ACM Trans. Inf. Syst., October, 2023
BGNN: Behavior-aware graph neural network for heterogeneous session-based recommendation.
Frontiers Comput. Sci., October, 2023
IEEE Trans. Knowl. Data Eng., August, 2023
ACM Trans. Inf. Syst., April, 2023
Collaborative filtering with sequential implicit feedback via learning users' preferences over item-sets.
Inf. Sci., April, 2023
Trans. Recomm. Syst., March, 2023
FLAG: A Feedback-aware Local and Global Model for Heterogeneous Sequential Recommendation.
ACM Trans. Intell. Syst. Technol., February, 2023
A Novel Generalized Meta Hierarchical Reinforcement Learning Method for Autonomous Vehicles.
IEEE Netw., 2023
CoRR, 2023
Proceedings of the ACM Web Conference 2023, 2023
A Multi-view Graph Contrastive Learning Framework for Cross-Domain Sequential Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
BVAE: Behavior-aware Variational Autoencoder for Multi-Behavior Multi-Task Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
Proceedings of the IEEE International Conference on Data Mining, 2023
Proceedings of the IEEE International Conference on Data Mining, 2023
Proceedings of the IEEE International Conference on Data Mining, 2023
Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2023
2022
Joint Optimization of Sensing, Decision-Making and Motion-Controlling for Autonomous Vehicles: A Deep Reinforcement Learning Approach.
IEEE Trans. Veh. Technol., 2022
Knowl. Based Syst., 2022
Federated one-class collaborative filtering via privacy-aware non-sampling matrix factorization.
Knowl. Based Syst., 2022
BAR: Behavior-aware recommendation for sequential heterogeneous one-class collaborative filtering.
Inf. Sci., 2022
Frontiers Comput. Sci., 2022
An Efficient Industrial Federated Learning Framework for AIoT: A Face Recognition Application.
CoRR, 2022
PrivateRec: Differentially Private Training and Serving for Federated News Recommendation.
CoRR, 2022
Collaborative filtering with implicit feedback via learning pairwise preferences over user-groups and item-sets.
CCF Trans. Pervasive Comput. Interact., 2022
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Global and Personalized Graphs for Heterogeneous Sequential Recommendation by Learning Behavior Transitions and User Intentions.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022
Aspect Re-distribution for Learning Better Item Embeddings in Sequential Recommendation.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
When Multi-access Edge Computing Meets Multi-area Intelligent Reflecting Surface: A Multi-agent Reinforcement Learning Approach.
Proceedings of the 30th IEEE/ACM International Symposium on Quality of Service, 2022
$Q_{C}-DQN$: A Novel Constrained Reinforcement Learning Method for Computation Offloading in Multi-access Edge Computing.
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
SQL-Rank++: A Novel Listwise Approach for Collaborative Ranking with Implicit Feedback.
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
J. Supercomput., 2021
ACM Trans. Interact. Intell. Syst., 2021
FCMF: Federated collective matrix factorization for heterogeneous collaborative filtering.
Knowl. Based Syst., 2021
Neurocomputing, 2021
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Next-Item Recommendation via Collaborative Filtering with Bidirectional Item Similarity.
ACM Trans. Inf. Syst., 2020
ACM Trans. Inf. Syst., 2020
CoFi-points: Collaborative Filtering via Pointwise Preference Learning on User/Item-Set.
ACM Trans. Intell. Syst. Technol., 2020
CoFiGAN: Collaborative filtering by generative and discriminative training for one-class recommendation.
Knowl. Based Syst., 2020
Neurocomputing, 2020
Neurocomputing, 2020
Neurocomputing, 2020
<i>k</i>-Reciprocal nearest neighbors algorithm for one-class collaborative filtering.
Neurocomputing, 2020
A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
FISSA: Fusing Item Similarity Models with Self-Attention Networks for Sequential Recommendation.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020
PAT: Preference-Aware Transfer Learning for Recommendation with Heterogeneous Feedback.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Asymmetric Pairwise Preference Learning for Heterogeneous One-Class Collaborative Filtering.
Proceedings of the Neural Information Processing - 27th International Conference, 2020
Proceedings of the 2020 IEEE International Conference on Big Data and Smart Computing, 2020
Proceedings of the 2020 IEEE International Conference on Big Data and Smart Computing, 2020
2019
ACM Trans. Inf. Syst., 2019
Personalized recommendation with implicit feedback via learning pairwise preferences over item-sets.
Knowl. Inf. Syst., 2019
Neurocomputing, 2019
Proceedings of the 13th ACM Conference on Recommender Systems, 2019
Proceedings of the Database Systems for Advanced Applications, 2019
Proceedings of the Information Retrieval Technology, 2019
2018
The 2nd workshop on intelligent recommender systems by knowledge transfer & learning (recsysKTL).
Proceedings of the 12th ACM Conference on Recommender Systems, 2018
Proceedings of the Web Services - ICWS 2018, 2018
MF-DMPC: Matrix Factorization with Dual Multiclass Preference Context for Rating Prediction.
Proceedings of the Web Services - ICWS 2018, 2018
RLT: Residual-Loop Training in Collaborative Filtering for Combining Factorization and Global-Local Neighborhood.
Proceedings of the Web Services - ICWS 2018, 2018
2017
Knowl. Based Syst., 2017
IEEE Intell. Syst., 2017
Proceedings of the Smart Computing and Communication, 2017
The 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning: (RecSysKTL).
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017
Proceedings of the 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning co-located with ACM Conference on Recommender Systems (RecSys 2017), 2017
2016
ACM Trans. Interact. Intell. Syst., 2016
Mixed factorization for collaborative recommendation with heterogeneous explicit feedbacks.
Inf. Sci., 2016
Group Bayesian personalized ranking with rich interactions for one-class collaborative filtering.
Neurocomputing, 2016
Neurocomputing, 2016
IEEE Intell. Syst., 2016
RBPR: Role-based Bayesian Personalized Ranking for Heterogeneous One-Class Collaborative Filtering.
Proceedings of the Late-breaking Results, 2016
Proceedings of the Late-breaking Results, 2016
Proceedings of the Smart Computing and Communication, 2016
Where to Place Your Next Restaurant?: Optimal Restaurant Placement via Leveraging User-Generated Reviews.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
2015
Knowl. Based Syst., 2015
Compressed knowledge transfer via factorization machine for heterogeneous collaborative recommendation.
Knowl. Based Syst., 2015
2014
Interaction-Rich Transfer Learning for Collaborative Filtering with Heterogeneous User Feedback.
IEEE Intell. Syst., 2014
CoRR, 2014
Adaptive Pairwise Preference Learning for Collaborative Recommendation with Implicit Feedbacks.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014
2013
Artif. Intell., 2013
Recommendation for New Users with Partial Preferences by Integrating Product Reviews with Static Specifications.
Proceedings of the User Modeling, Adaptation, and Personalization, 2013
Proceedings of the 13th SIAM International Conference on Data Mining, 2013
Proceedings of the 13th SIAM International Conference on Data Mining, 2013
GBPR: Group Preference Based Bayesian Personalized Ranking for One-Class Collaborative Filtering.
Proceedings of the IJCAI 2013, 2013
2012
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Proceedings of the IJCAI 2011, 2011
2010
Incorporating the loss function into discriminative clustering of structured outputs.
IEEE Trans. Neural Networks, 2010
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
Proceedings of the ICDM 2009, 2009