Weike Pan

According to our database, Weike Pan authored at least 127 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Discrete Federated Multi-behavior Recommendation for Privacy-Preserving Heterogeneous One-Class Collaborative Filtering.

Enyue Yang, Weike Pan, Qiang Yang, Zhong Ming

ACM Trans. Inf. Syst., September, 2024

Decentralized Federated Recommendation with Privacy-aware Structured Client-level Graph.

Zhitao Li, Zhaohao Lin, Feng Liang, Weike Pan, Qiang Yang, Zhong Ming

ACM Trans. Intell. Syst. Technol., August, 2024

A Novel Reinforcement Learning Method for Autonomous Driving With Intermittent Vehicle-to-Everything (V2X) Communications.

Longquan Chen, Ying He, F. Richard Yu, Weike Pan, Zhong Ming

IEEE Trans. Veh. Technol., June, 2024

BMLP: behavior-aware MLP for heterogeneous sequential recommendation.

Weixin Li, Yuhao Wu, Yang Liu, Weike Pan, Zhong Ming

Frontiers Comput. Sci., June, 2024

Transfer learning in cross-domain sequential recommendation.

Zitao Xu, Weike Pan, Zhong Ming

Inf. Sci., 2024

Federated Graph Learning for Cross-Domain Recommendation.

Ziqi Yang, Zhaopeng Peng, Zihui Wang, Jianzhong Qi, Chaochao Chen, Weike Pan, Chenglu Wen, Cheng Wang, Xiaoliang Fan

CoRR, 2024

Sample Enrichment via Temporary Operations on Subsequences for Sequential Recommendation.

Shu Chen, Jinwei Luo, Weike Pan, Jiangxing Yu, Xin Huang, Zhong Ming

CoRR, 2024

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

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

A Generic Behavior-Aware Data Augmentation Framework for Sequential Recommendation.

Jing Xiao, Weike Pan, Zhong Ming

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Dynamic Stage-aware User Interest Learning for Heterogeneous Sequential Recommendation.

Weixin Li, Xiaolin Lin, Weike Pan, Zhong Ming

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Explicit and Implicit Modeling via Dual-Path Transformer for Behavior Set-informed Sequential Recommendation.

Ming Chen, Weike Pan, Zhong Ming

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A Survey on Cross-Domain Sequential Recommendation.

Shu Chen, Zitao Xu, Weike Pan, Qiang Yang, Zhong Ming

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Delving into Differentially Private Transformer.

Youlong Ding, Xueyang Wu, Yining Meng, Yonggang Luo, Hao Wang, Weike Pan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Transfer learning for collaborative recommendation with biased and unbiased data.

Zinan Lin, Dugang Liu, Weike Pan, Qiang Yang, Zhong Ming

Artif. Intell., November, 2023

Privacy-preserving graph convolution network for federated item recommendation.

Pengqing Hu, Zhaohao Lin, Weike Pan, Qiang Yang, Xiaogang Peng, Zhong Ming

Artif. Intell., November, 2023

Bounding System-Induced Biases in Recommender Systems with a Randomized Dataset.

Dugang Liu, Pengxiang Cheng, Zinan Lin, Xiaolian Zhang, Zhenhua Dong, Rui Zhang, Xiuqiang He, Weike Pan, Zhong Ming

ACM Trans. Inf. Syst., October, 2023

BGNN: Behavior-aware graph neural network for heterogeneous session-based recommendation.

Jinwei Luo, Mingkai He, Weike Pan, Zhong Ming

Frontiers Comput. Sci., October, 2023

KDCRec: Knowledge Distillation for Counterfactual Recommendation via Uniform Data.

Dugang Liu, Pengxiang Cheng, Zinan Lin, Jinwei Luo, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming

IEEE Trans. Knowl. Data Eng., August, 2023

A Generic Federated Recommendation Framework via Fake Marks and Secret Sharing.

Zhaohao Lin, Weike Pan, Qiang Yang, Zhong Ming

ACM Trans. Inf. Syst., April, 2023

Collaborative filtering with sequential implicit feedback via learning users' preferences over item-sets.

Jing Lin, Mingkai He, Weike Pan, Zhong Ming

Inf. Sci., April, 2023

Debiased Representation Learning in Recommendation via Information Bottleneck.

Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming

Trans. Recomm. Syst., March, 2023

FLAG: A Feedback-aware Local and Global Model for Heterogeneous Sequential Recommendation.

Mingkai He, Jing Lin, Jinwei Luo, Weike Pan, Zhong Ming

ACM Trans. Intell. Syst. Technol., February, 2023

A Novel Generalized Meta Hierarchical Reinforcement Learning Method for Autonomous Vehicles.

Longquan Chen, Ying He, Weike Pan, F. Richard Yu, Zhong Ming

IEEE Netw., 2023

A Survey on Multi-Behavior Sequential Recommendation.

Xiaoqing Chen, Zhitao Li, Weike Pan, Zhong Ming

CoRR, 2023

GNN4FR: A Lossless GNN-based Federated Recommendation Framework.

Guowei Wu, Weike Pan, Zhong Ming

CoRR, 2023

DPFormer: Learning Differentially Private Transformer on Long-Tailed Data.

Youlong Ding, Xueyang Wu, Hao Wang, Weike Pan

CoRR, 2023

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

Proceedings of the ACM Web Conference 2023, 2023

A Multi-view Graph Contrastive Learning Framework for Cross-Domain Sequential Recommendation.

Zitao Xu, Weike Pan, Zhong Ming

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

BVAE: Behavior-aware Variational Autoencoder for Multi-Behavior Multi-Task Recommendation.

Qianzhen Rao, Yang Liu, Weike Pan, Zhong Ming

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Variational Collective Graph AutoEncoder for Multi-behavior Recommendation.

Yang Liu, Qianzhen Rao, Weike Pan, Zhong Ming

Proceedings of the IEEE International Conference on Data Mining, 2023

Privacy-Preserving Cross-Domain Sequential Recommendation.

Zhaohao Lin, Weike Pan, Zhong Ming

Proceedings of the IEEE International Conference on Data Mining, 2023

Cascaded Cross Attention for Review-based Sequential Recommendation.

Bingsen Huang, Jinwei Luo, Weihao Du, Weike Pan, Zhong Ming

Proceedings of the IEEE International Conference on Data Mining, 2023

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

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.

Longquan Chen, Ying He, Qiang Wang, Weike Pan, Zhong Ming

IEEE Trans. Veh. Technol., 2022

SCF: Structured collaborative filtering with heterogeneous implicit feedback.

Wanqi Ma, Weike Pan, Zhong Ming

Knowl. Based Syst., 2022

Federated one-class collaborative filtering via privacy-aware non-sampling matrix factorization.

Pengqing Hu, Enyue Yang, Weike Pan, Xiaogang Peng, Zhong Ming

Knowl. Based Syst., 2022

BAR: Behavior-aware recommendation for sequential heterogeneous one-class collaborative filtering.

Mingkai He, Weike Pan, Zhong Ming

Inf. Sci., 2022

TransRec++: Translation-based sequential recommendation with heterogeneous feedback.

Zhuoxin Zhan, Mingkai He, Weike Pan, Zhong Ming

Frontiers Comput. Sci., 2022

An Efficient Industrial Federated Learning Framework for AIoT: A Face Recognition Application.

Youlong Ding, Xueyang Wu, Zhitao Li, Zeheng Wu, Shengqi Tan, Qian Xu, Weike Pan, Qiang Yang

CoRR, 2022

PrivateRec: Differentially Private Training and Serving for Federated News Recommendation.

Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Yang Cao, Lingjuan Lyu, Weike Pan, Yun Chen, Hong Chen, Xing Xie

CoRR, 2022

Collaborative filtering with implicit feedback via learning pairwise preferences over user-groups and item-sets.

Yongxin Ni, Shan Ouyang, Lin Li, Weike Pan, Zhong Ming

CCF Trans. Pervasive Comput. Interact., 2022

VAE++: Variational AutoEncoder for Heterogeneous One-Class Collaborative Filtering.

Wanqi Ma, Xiancong Chen, Weike Pan, Zhong Ming

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.

Weixin Chen, Mingkai He, Yongxin Ni, Weike Pan, Li Chen, Zhong Ming

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.

Wei Cai, Weike Pan, Jingwen Mao, Zhechao Yu, Congfu Xu

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

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

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.

Shen Zhuang, Ying He, F. Richard Yu, Chengxi Gao, Weike Pan, Zhong Ming

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.

Shen Zhuang, Chengxi Gao, Ying He, F. Richard Yu, Yuhang Wang, Weike Pan, Zhong Ming

Proceedings of the International Joint Conference on Neural Networks, 2022

PAS: A Position-Aware Similarity Measurement for Sequential Recommendation.

Zijie Zeng, Jing Lin, Weike Pan, Zhong Ming, Zhongqi Lu

Proceedings of the International Joint Conference on Neural Networks, 2022

SQL-Rank++: A Novel Listwise Approach for Collaborative Ranking with Implicit Feedback.

Zheng Yuan, Dugang Liu, Weike Pan, Zhong Ming

Proceedings of the International Joint Conference on Neural Networks, 2022

DeepSet: Deep Learning-based Recommendation with Setwise Preference.

Lin Li, Weike Pan, Guanliang Chen, Zhong Ming

Proceedings of the International Joint Conference on Neural Networks, 2022

Multi-Constraint Deep Reinforcement Learning for Smooth Action Control.

Guangyuan Zou, Ying He, F. Richard Yu, Longquan Chen, Weike Pan, Zhong Ming

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

ALTRec: Adversarial Learning for Autoencoder-based Tail Recommendation.

Jixiong Liu, Dugang Liu, Weike Pan, Zhong Ming

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Augmenting Legal Judgment Prediction with Contrastive Case Relations.

Dugang Liu, Weihao Du, Lei Li, Weike Pan, Zhong Ming

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Dual-Task Learning for Multi-Behavior Sequential Recommendation.

Jinwei Luo, Mingkai He, Xiaolin Lin, Weike Pan, Zhong Ming

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Sequence-aware similarity learning for next-item recommendation.

Zhuoxin Zhan, Liulan Zhong, Jing Lin, Weike Pan, Zhong Ming

J. Supercomput., 2021

Holistic Transfer to Rank for Top-N Recommendation.

Wanqi Ma, Xiaoxiao Liao, Wei Dai, Weike Pan, Zhong Ming

ACM Trans. Interact. Intell. Syst., 2021

FCMF: Federated collective matrix factorization for heterogeneous collaborative filtering.

Enyue Yang, Yunfeng Huang, Feng Liang, Weike Pan, Zhong Ming

Knowl. Based Syst., 2021

Factored heterogeneous similarity model for recommendation with implicit feedback.

Yongxin Ni, Xiancong Chen, Weike Pan, Zixiang Chen, Zhong Ming

Neurocomputing, 2021

FedRec: Federated Recommendation With Explicit Feedback.

Guanyu Lin, Feng Liang, Weike Pan, Zhong Ming

IEEE Intell. Syst., 2021

Mitigating Confounding Bias in Recommendation via Information Bottleneck.

Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

FR-FMSS: Federated Recommendation via Fake Marks and Secret Sharing.

Zhaohao Lin, Weike Pan, Zhong Ming

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Transfer Learning in Collaborative Recommendation for Bias Reduction.

Zinan Lin, Dugang Liu, Weike Pan, Zhong Ming

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

FedRec++: Lossless Federated Recommendation with Explicit Feedback.

Feng Liang, Weike Pan, Zhong Ming

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Next-Item Recommendation via Collaborative Filtering with Bidirectional Item Similarity.

Zijie Zeng, Jing Lin, Lin Li, Weike Pan, Zhong Ming

ACM Trans. Inf. Syst., 2020

A Survey on Heterogeneous One-class Collaborative Filtering.

Xiancong Chen, Lin Li, Weike Pan, Zhong Ming

ACM Trans. Inf. Syst., 2020

CoFi-points: Collaborative Filtering via Pointwise Preference Learning on User/Item-Set.

Lin Li, Weike Pan, Zhong Ming

ACM Trans. Intell. Syst. Technol., 2020

Transfer to Rank for Top-N Recommendation.

Wei Dai, Qing Zhang, Weike Pan, Zhong Ming

IEEE Trans. Big Data, 2020

CoFiGAN: Collaborative filtering by generative and discriminative training for one-class recommendation.

Jixiong Liu, Weike Pan, Zhong Ming

Knowl. Based Syst., 2020

Matrix factorization with heterogeneous multiclass preference context.

Jing Lin, Weike Pan, Lin Li, Zixiang Chen, Zhong Ming

Neurocomputing, 2020

Conditional restricted Boltzmann machine for item recommendation.

Zixiang Chen, Wanqi Ma, Wei Dai, Weike Pan, Zhong Ming

Neurocomputing, 2020

Position-aware context attention for session-based recommendation.

Yi Cao, Weifeng Zhang, Bo Song, Weike Pan, Congfu Xu

Neurocomputing, 2020

<i>k</i>-Reciprocal nearest neighbors algorithm for one-class collaborative filtering.

Wei Cai, Weike Pan, Jixiong Liu, Zixiang Chen, Zhong Ming

Neurocomputing, 2020

A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data.

Dugang Liu, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming

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.

Jing Lin, Weike Pan, Zhong Ming

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

PAT: Preference-Aware Transfer Learning for Recommendation with Heterogeneous Feedback.

Feng Liang, Wei Dai, Yunfeng Huang, Weike Pan, Zhong Ming

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Adaptive Transfer Learning for Heterogeneous One-Class Collaborative Filtering.

Xiancong Chen, Weike Pan, Zhong Ming

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Asymmetric Pairwise Preference Learning for Heterogeneous One-Class Collaborative Filtering.

Yongxin Ni, Zhuoxin Zhan, Weike Pan, Zhong Ming

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Sequence-Aware Factored Mixed Similarity Model for Next-Item Recommendation.

Liulan Zhong, Jing Lin, Weike Pan, Zhong Ming

Proceedings of the 2020 IEEE International Conference on Big Data and Smart Computing, 2020

Dual Similarity Learning for Heterogeneous One-Class Collaborative Filtering.

Xiancong Chen, Weike Pan, Zhong Ming

Proceedings of the 2020 IEEE International Conference on Big Data and Smart Computing, 2020

2019

Transfer to Rank for Heterogeneous One-Class Collaborative Filtering.

Weike Pan, Qiang Yang, Wanling Cai, Yaofeng Chen, Qing Zhang, Xiaogang Peng, Zhong Ming

ACM Trans. Inf. Syst., 2019

Personalized recommendation with implicit feedback via learning pairwise preferences over item-sets.

Weike Pan, Li Chen, Zhong Ming

Knowl. Inf. Syst., 2019

Neighborhood-enhanced transfer learning for one-class collaborative filtering.

Wanling Cai, Jiongbin Zheng, Weike Pan, Jing Lin, Lin Li, Li Chen, Xiaogang Peng, Zhong Ming

Neurocomputing, 2019

Asymmetric Bayesian personalized ranking for one-class collaborative filtering.

Shan Ouyang, Lin Li, Weike Pan, Zhong Ming

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Modeling Item Categories for Effective Recommendation.

Bo Song, Yi Cao, Weike Pan, Congfu Xu

Proceedings of the Database Systems for Advanced Applications, 2019

Context-Aware Collaborative Ranking.

Wei Dai, Weike Pan, Zhong Ming

Proceedings of the Information Retrieval Technology, 2019

2018

The 2nd workshop on intelligent recommender systems by knowledge transfer & learning (recsysKTL).

Shaghayegh (Sherry) Sahebi, Yong Zheng, Weike Pan, Ignacio Fernández

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

BIS: Bidirectional Item Similarity for Next-Item Recommendation.

Zijie Zeng, Weike Pan, Zhong Ming

Proceedings of the Web Services - ICWS 2018, 2018

MF-DMPC: Matrix Factorization with Dual Multiclass Preference Context for Rating Prediction.

Jing Lin, Weike Pan, Zhong Ming

Proceedings of the Web Services - ICWS 2018, 2018

RLT: Residual-Loop Training in Collaborative Filtering for Combining Factorization and Global-Local Neighborhood.

Lei Li, Weike Pan, Li Chen, Zhong Ming

Proceedings of the Web Services - ICWS 2018, 2018

2017

Transfer Learning for Behavior Ranking.

Weike Pan, Qiang Yang, Yuchao Duan, Ben Tan, Zhong Ming

ACM Trans. Intell. Syst. Technol., 2017

Mixed similarity learning for recommendation with implicit feedback.

Mengsi Liu, Weike Pan, Miao Liu, Yaofeng Chen, Xiaogang Peng, Zhong Ming

Knowl. Based Syst., 2017

Big Data.

Weike Pan, Qiang Yang, Charu C. Aggarwal, Christoph Koch

IEEE Intell. Syst., 2017

Collaborative Recommendation with Multiclass Preference Context.

Weike Pan, Zhong Ming

IEEE Intell. Syst., 2017

k-CoFi: Modeling k-Granularity Preference Context in Collaborative Filtering.

Yunfeng Huang, Zixiang Chen, Lin Li, Weike Pan, Zhiguang Shan, Zhong Ming

Proceedings of the Smart Computing and Communication, 2017

The 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning: (RecSysKTL).

Yong Zheng, Weike Pan, Shaghayegh (Sherry) Sahebi, Ignacio Fernández

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

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

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

Transfer Learning for Semisupervised Collaborative Recommendation.

Weike Pan, Qiang Yang, Yuchao Duan, Zhong Ming

ACM Trans. Interact. Intell. Syst., 2016

Mixed factorization for collaborative recommendation with heterogeneous explicit feedbacks.

Weike Pan, Shanchuan Xia, Zhuode Liu, Xiaogang Peng, Zhong Ming

Inf. Sci., 2016

Group Bayesian personalized ranking with rich interactions for one-class collaborative filtering.

Weike Pan, Li Chen

Neurocomputing, 2016

A survey of transfer learning for collaborative recommendation with auxiliary data.

Weike Pan

Neurocomputing, 2016

Transfer Learning for Heterogeneous One-Class Collaborative Filtering.

Weike Pan, Mengsi Liu, Zhong Ming

IEEE Intell. Syst., 2016

RBPR: Role-based Bayesian Personalized Ranking for Heterogeneous One-Class Collaborative Filtering.

Xiaogang Peng, Yaofeng Chen, Yuchao Duan, Weike Pan, Zhong Ming

Proceedings of the Late-breaking Results, 2016

TOCCF: Time-Aware One-Class Collaborative Filtering.

Xinchao Chen, Weike Pan, Zhong Ming

Proceedings of the Late-breaking Results, 2016

Hybrid One-Class Collaborative Filtering for Job Recommendation.

Miao Liu, Zijie Zeng, Weike Pan, Xiaogang Peng, Zhiguang Shan, Zhong Ming

Proceedings of the Smart Computing and Communication, 2016

Where to Place Your Next Restaurant?: Optimal Restaurant Placement via Leveraging User-Generated Reviews.

Feng Wang, Li Chen, Weike Pan

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Adaptive Bayesian personalized ranking for heterogeneous implicit feedbacks.

Weike Pan, Hao Zhong, Congfu Xu, Zhong Ming

Knowl. Based Syst., 2015

Compressed knowledge transfer via factorization machine for heterogeneous collaborative recommendation.

Weike Pan, Zhuode Liu, Zhong Ming, Hao Zhong, Xin Wang, Congfu Xu

Knowl. Based Syst., 2015

2014

Bird Flu Outbreak Prediction via Satellite Tracking.

Yuanchun Zhou, MingJie Tang, Weike Pan, Jinyan Li, Weihang Wang, Jing Shao, Liang Wu, Jianhui Li, Qiang Yang, Baoping Yan

IEEE Intell. Syst., 2014

An Adaptive Fusion Algorithm for Spam Detection.

Congfu Xu, Baojun Su, Yunbiao Cheng, Weike Pan, Li Chen

IEEE Intell. Syst., 2014

Interaction-Rich Transfer Learning for Collaborative Filtering with Heterogeneous User Feedback.

Weike Pan, Zhong Ming

IEEE Intell. Syst., 2014

Collaborative Recommendation with Auxiliary Data: A Transfer Learning View.

Weike Pan

CoRR, 2014

Adaptive Pairwise Preference Learning for Collaborative Recommendation with Implicit Feedbacks.

Hao Zhong, Weike Pan, Congfu Xu, Zhi Yin, Zhong Ming

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

HGMF: Hierarchical Group Matrix Factorization for Collaborative Recommendation.

Xin Wang, Weike Pan, Congfu Xu

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

Transfer learning in heterogeneous collaborative filtering domains.

Weike Pan, Qiang Yang

Artif. Intell., 2013

Recommendation for New Users with Partial Preferences by Integrating Product Reviews with Static Specifications.

Feng Wang, Weike Pan, Li Chen

Proceedings of the User Modeling, Adaptation, and Personalization, 2013

Selective Transfer Learning for Cross Domain Recommendation.

Zhongqi Lu, Weike Pan, Evan Wei Xiang, Qiang Yang, Lili Zhao, Erheng Zhong

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

CoFiSet: Collaborative Filtering via Learning Pairwise Preferences over Item-sets.

Li Chen, Weike Pan

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

GBPR: Group Preference Based Bayesian Personalized Ranking for One-Class Collaborative Filtering.

Weike Pan, Li Chen

Proceedings of the IJCAI 2013, 2013

2012

Transfer Learning in Collaborative Filtering with Uncertain Ratings.

Weike Pan, Evan Wei Xiang, Qiang Yang

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

Transfer Learning for Text Mining.

Weike Pan, Erheng Zhong, Qiang Yang

Proceedings of the Mining Text Data, 2012

2011

Structured clustering with automatic kernel adaptation.

Weike Pan, James T. Kwok

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Source-Selection-Free Transfer Learning.

Evan Wei Xiang, Sinno Jialin Pan, Weike Pan, Jian Su, Qiang Yang

Proceedings of the IJCAI 2011, 2011

Transfer Learning to Predict Missing Ratings via Heterogeneous User Feedbacks.

Weike Pan, Nathan Nan Liu, Evan Wei Xiang, Qiang Yang

Proceedings of the IJCAI 2011, 2011

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 in Collaborative Filtering for Sparsity Reduction.

Weike Pan, Evan Wei Xiang, Nathan Nan Liu, Qiang Yang

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

Accelerated Gradient Methods for Stochastic Optimization and Online Learning.

Chonghai Hu, James T. Kwok, Weike Pan

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

Accelerated Gradient Method for Multi-task Sparse Learning Problem.

Xi Chen, Weike Pan, James T. Kwok, Jaime G. Carbonell

Proceedings of the ICDM 2009, 2009