Weike Pan - RankMe

165 papers A* 23A 26B 10Journal 91Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A survey on multi-behavior sequential recommendation. Sci. China Inf. Sci. Xiaoqing Chen, Zhitao Li, Weike Pan, Qiang Yang, Zhong Ming
2026	J	`jnl`	A survey on sequential recommendation. Frontiers Comput. Sci. Liwei Pan, Weike Pan, Meiyan Wei, Hongzhi Yin, Zhong Ming
2026	J	`jnl`	FedHoG: Federated Homogeneous Graph Neural Network for Privacy-Preserving Recommendation. ACM Trans. Inf. Syst. Zihong Xian, Enyue Yang, Weike Pan, Zhong Ming
2026	J	`jnl`	MBASR: A Generic Framework for Multi-Behavior Data Augmentation in Sequential Recommendation. Trans. Recomm. Syst. Qi Xiao, Jing Xiao, Weike Pan, Zhong Ming
2026	A*	`conf`	Multi-Task Multi-Behavior Sequential Recommendation. WWW Weihao Du, Ziran Deng, Weike Pan, Zhong Ming
2026	J	`jnl`	Multi-domain sequential recommendation via multi-sequence and multi-task learning. Inf. Process. Manag. Liwei Pan, Weike Pan, Zhong Ming
2026	J	`jnl`	Sample enrichment via temporary operations on subsequences for sequential recommendation. Knowl. Inf. Syst. Shu Chen, Jinwei Luo, Weike Pan, Jiangxing Yu, Xin Huang, Hongcheng Fu, Zhong Ming
2026	J	`jnl`	Self-supervised representation learning with ID-Content modality alignment for sequential recommendation. Frontiers Comput. Sci. Donglin Zhou, Weike Pan, Zhong Ming
2026	A*	`conf`	The Double-Edged Sword of Knowledge Transfer: Diagnosing and Curing Fairness Pathologies in Cross-Domain Recommendation. WWW Yuhan Zhao, Weixin Chen, Li Chen, Weike Pan
2026	J	`jnl`	The Double-Edged Sword of Knowledge Transfer: Diagnosing and Curing Fairness Pathologies in Cross-Domain Recommendation. CoRR Yuhan Zhao, Weixin Chen, Li Chen, Weike Pan
2026	J	`jnl`	Towards Multi-Behavior Multi-Task Recommendation via Behavior-informed Graph Embedding Learning. CoRR Wenhao Lai, Weike Pan, Zhong Ming
2025	J	`jnl`	A Multi-view Graph Contrastive Learning Framework for Cross-Domain Sequential Recommendation. Trans. Recomm. Syst. Zitao Xu, Shu Chen, Weike Pan, Zhong Ming
2025	J	`jnl`	A survey on cross-user federated recommendation. Sci. China Inf. Sci. Enyue Yang, Yudi Xiong, Wei Yuan, Weike Pan, Qiang Yang, Zhong Ming
2025	J	`jnl`	Camouflaged Variational Graph AutoEncoder Against Attribute Inference Attacks for Cross-Domain Recommendation. IEEE Trans. Knowl. Data Eng. Yudi Xiong, Yongxin Guo, Weike Pan, Qiang Yang, Zhong Ming, Xiaojin Zhang, Han Yu, Tao Lin, Xiaoying Tang
2025	—	`conf`	Contrastive Text-enhanced Transformer for Cross-Domain Sequential Recommendation. KDD (2) Donglin Zhou, Xinbei Cai, Weike Pan
2025	J	`jnl`	Cross-User Federated Recommendation Unlearning. ACM Trans. Intell. Syst. Technol. Yang Li, Enyue Yang, Weike Pan, Qiang Yang, Zhong Ming
2025	J	`jnl`	Dual-stage scoring via task decoupling and fine-grained preference learning for side-information integrated sequential recommendation. Knowl. Inf. Syst. Xiaolin Lin, Jinwei Luo, Mingkai He, Weike Pan, Zhong Ming
2025	A*	`conf`	Heterogeneous Graph Transfer Learning for Category-aware Cross-Domain Sequential Recommendation. WWW Zitao Xu, Xiaoqing Chen, Weike Pan, Zhong Ming
2025	A	`conf`	Leave No One Behind: Fairness-Aware Cross-Domain Recommender Systems for Non-Overlapping Users. RecSys Weixin Chen, Yuhan Zhao, Li Chen, Weike Pan
2025	J	`jnl`	Leave No One Behind: Fairness-Aware Cross-Domain Recommender Systems for Non-Overlapping Users. CoRR Weixin Chen, Yuhan Zhao, Li Chen, Weike Pan
2025	J	`jnl`	Ownership Verification for Federated Recommendation. ACM Trans. Inf. Syst. Enyue Yang, Weike Pan, Lixin Fan, Hanlin Gu, Zhitao Li, Qiang Yang, Zhong Ming
2025	J	`jnl`	Self-Supervised Representation Learning with ID-Content Modality Alignment for Sequential Recommendation. CoRR Donglin Zhou, Weike Pan, Zhong Ming
2025	A	`conf`	Target Item-oriented Conditional Diffusion Differential Transformer for Next-Item Prediction. CIKM Xiaoqing Chen, Zitao Xu, Weike Pan, Zhong Ming
2025	A*	`conf`	Towards Interest Drift-driven User Representation Learning in Sequential Recommendation. SIGIR Xiaolin Lin, Weike Pan, Zhong Ming
2025	J	`jnl`	VCGAE++: variational collective graph autoEncoder for multi-behavior recommendation. Knowl. Inf. Syst. Yingxuan Zhuang, Yang Liu, Weike Pan, Zhong Ming
2024	A*	`conf`	A Generic Behavior-Aware Data Augmentation Framework for Sequential Recommendation. SIGIR Jing Xiao, Weike Pan, Zhong Ming
2024	J	`jnl`	A Novel Reinforcement Learning Method for Autonomous Driving With Intermittent Vehicle-to-Everything (V2X) Communications. IEEE Trans. Veh. Technol. Longquan Chen, Ying He, F. Richard Yu, Weike Pan, Zhong Ming
2024	A*	`conf`	A Survey on Cross-Domain Sequential Recommendation. IJCAI Shu Chen, Zitao Xu, Weike Pan, Qiang Yang, Zhong Ming
2024	J	`jnl`	A Survey on Cross-Domain Sequential Recommendation. CoRR Shu Chen, Zitao Xu, Weike Pan, Qiang Yang, Zhong Ming
2024	J	`jnl`	A Survey on Sequential Recommendation. CoRR Liwei Pan, Weike Pan, Meiyan Wei, Hongzhi Yin, Zhong Ming
2024	J	`jnl`	BMLP: Behavior-aware MLP for Heterogeneous Sequential Recommendation. CoRR Weixin Li, Yuhao Wu, Yang Liu, Weike Pan, Zhong Ming
2024	J	`jnl`	BMLP: behavior-aware MLP for heterogeneous sequential recommendation. Frontiers Comput. Sci. Weixin Li, Yuhao Wu, Yang Liu, Weike Pan, Zhong Ming
2024	J	`jnl`	Decentralized Federated Recommendation with Privacy-aware Structured Client-level Graph. ACM Trans. Intell. Syst. Technol. Zhitao Li, Zhaohao Lin, Feng Liang, Weike Pan, Qiang Yang, Zhong Ming
2024	A*	`conf`	Delving into Differentially Private Transformer. ICML Youlong Ding, Xueyang Wu, Yining Meng, Yonggang Luo, Hao Wang, Weike Pan
2024	J	`jnl`	Delving into Differentially Private Transformer. CoRR Youlong Ding, Xueyang Wu, Yining Meng, Yonggang Luo, Hao Wang, Weike Pan
2024	J	`jnl`	Discrete Federated Multi-behavior Recommendation for Privacy-Preserving Heterogeneous One-Class Collaborative Filtering. ACM Trans. Inf. Syst. Enyue Yang, Weike Pan, Qiang Yang, Zhong Ming
2024	A	`conf`	Dynamic Stage-aware User Interest Learning for Heterogeneous Sequential Recommendation. RecSys Weixin Li, Xiaolin Lin, Weike Pan, Zhong Ming
2024	A*	`conf`	Explicit and Implicit Modeling via Dual-Path Transformer for Behavior Set-informed Sequential Recommendation. KDD Ming Chen, Weike Pan, Zhong Ming
2024	J	`jnl`	FedCORE: Federated Learning for Cross-Organization Recommendation Ecosystem. IEEE Trans. Knowl. Data Eng. Zhitao Li, Xueyang Wu, Weike Pan, Youlong Ding, Zeheng Wu, Shengqi Tan, Qian Xu, Qiang Yang, Zhong Ming
2024	A*	`conf`	Federated Graph Learning for Cross-Domain Recommendation. NeurIPS Ziqi Yang, Zhaopeng Peng, Zihui Wang, Jianzhong Qi, Chaochao Chen, Weike Pan, Chenglu Wen, Cheng Wang, Xiaoliang Fan
2024	J	`jnl`	Federated Graph Learning for Cross-Domain Recommendation. CoRR Ziqi Yang, Zhaopeng Peng, Zihui Wang, Jianzhong Qi, Chaochao Chen, Weike Pan, Chenglu Wen, Cheng Wang, Xiaoliang Fan
2024	J	`jnl`	Lossless and Privacy-Preserving Graph Convolution Network for Federated Item Recommendation. CoRR Guowei Wu, Weike Pan, Qiang Yang, Zhong Ming
2024	A	`conf`	Multi-Sequence Attentive User Representation Learning for Side-information Integrated Sequential Recommendation. WSDM Xiaolin Lin, Jinwei Luo, Junwei Pan, Weike Pan, Zhong Ming, Xun Liu, Shudong Huang, Jie Jiang
2024	J	`jnl`	Privacy-Preserving Cross-Domain Sequential Recommendation. CoRR Zhaohao Lin, Weike Pan, Zhong Ming
2024	J	`jnl`	Sample Enrichment via Temporary Operations on Subsequences for Sequential Recommendation. CoRR Shu Chen, Jinwei Luo, Weike Pan, Jiangxing Yu, Xin Huang, Zhong Ming
2024	J	`jnl`	Transfer learning in cross-domain sequential recommendation. Inf. Sci. Zitao Xu, Weike Pan, Zhong Ming
2023	J	`jnl`	A Generic Federated Recommendation Framework via Fake Marks and Secret Sharing. ACM Trans. Inf. Syst. Zhaohao Lin, Weike Pan, Qiang Yang, Zhong Ming
2023	A	`conf`	A Multi-view Graph Contrastive Learning Framework for Cross-Domain Sequential Recommendation. RecSys Zitao Xu, Weike Pan, Zhong Ming
2023	J	`jnl`	A Novel Generalized Meta Hierarchical Reinforcement Learning Method for Autonomous Vehicles. IEEE Netw. Longquan Chen, Ying He, Weike Pan, F. Richard Yu, Zhong Ming
2023	J	`jnl`	A Survey on Multi-Behavior Sequential Recommendation. CoRR Xiaoqing Chen, Zhitao Li, Weike Pan, Zhong Ming
2023	J	`jnl`	BGNN: Behavior-aware graph neural network for heterogeneous session-based recommendation. Frontiers Comput. Sci. Jinwei Luo, Mingkai He, Weike Pan, Zhong Ming
2023	A	`conf`	BVAE: Behavior-aware Variational Autoencoder for Multi-Behavior Multi-Task Recommendation. RecSys Qianzhen Rao, Yang Liu, Weike Pan, Zhong Ming
2023	J	`jnl`	Bounding System-Induced Biases in Recommender Systems with A Randomized Dataset. CoRR Dugang Liu, Pengxiang Cheng, Zinan Lin, Xiaolian Zhang, Zhenhua Dong, Rui Zhang, Xiuqiang He, Weike Pan, Zhong Ming
2023	J	`jnl`	Bounding System-Induced Biases in Recommender Systems with a Randomized Dataset. ACM Trans. Inf. Syst. Dugang Liu, Pengxiang Cheng, Zinan Lin, Xiaolian Zhang, Zhenhua Dong, Rui Zhang, Xiuqiang He, Weike Pan, Zhong Ming
2023	A*	`conf`	Cascaded Cross Attention for Review-based Sequential Recommendation. ICDM Bingsen Huang, Jinwei Luo, Weihao Du, Weike Pan, Zhong Ming
2023	J	`jnl`	Collaborative filtering with sequential implicit feedback via learning users' preferences over item-sets. Inf. Sci. Jing Lin, Mingkai He, Weike Pan, Zhong Ming
2023	A*	`conf`	DIWIFT: Discovering Instance-wise Influential Features for Tabular Data. WWW Dugang Liu, Pengxiang Cheng, Hong Zhu, Xing Tang, Yanyu Chen, Xiaoting Wang, Weike Pan, Zhong Ming, Xiuqiang He
2023	J	`jnl`	DPFormer: Learning Differentially Private Transformer on Long-Tailed Data. CoRR Youlong Ding, Xueyang Wu, Hao Wang, Weike Pan
2023	J	`jnl`	Debiased Representation Learning in Recommendation via Information Bottleneck. Trans. Recomm. Syst. Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming
2023	J	`jnl`	FLAG: A Feedback-aware Local and Global Model for Heterogeneous Sequential Recommendation. ACM Trans. Intell. Syst. Technol. Mingkai He, Jing Lin, Jinwei Luo, Weike Pan, Zhong Ming
2023	J	`jnl`	GNN4FR: A Lossless GNN-based Federated Recommendation Framework. CoRR Guowei Wu, Weike Pan, Zhong Ming
2023	J	`jnl`	KDCRec: Knowledge Distillation for Counterfactual Recommendation via Uniform Data. IEEE Trans. Knowl. Data Eng. Dugang Liu, Pengxiang Cheng, Zinan Lin, Jinwei Luo, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming
2023	A*	`conf`	Privacy-Preserving Cross-Domain Sequential Recommendation. ICDM Zhaohao Lin, Weike Pan, Zhong Ming
2023	J	`jnl`	Privacy-preserving graph convolution network for federated item recommendation. Artif. Intell. Pengqing Hu, Zhaohao Lin, Weike Pan, Qiang Yang, Xiaogang Peng, Zhong Ming
2023	—	`conf`	Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation. DASFAA (4) Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Weike Pan, Zhong Ming
2023	J	`jnl`	Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation. CoRR Dugang Liu, Yang Qiao, Xing Tang, Liang Chen, Xiuqiang He, Weike Pan, Zhong Ming
2023	J	`jnl`	Transfer learning for collaborative recommendation with biased and unbiased data. Artif. Intell. Zinan Lin, Dugang Liu, Weike Pan, Qiang Yang, Zhong Ming
2023	A*	`conf`	Variational Collective Graph AutoEncoder for Multi-behavior Recommendation. ICDM Yang Liu, Qianzhen Rao, Weike Pan, Zhong Ming
2022	B	`conf`	$Q_{C}-DQN$: A Novel Constrained Reinforcement Learning Method for Computation Offloading in Multi-access Edge Computing. IJCNN Shen Zhuang, Chengxi Gao, Ying He, F. Richard Yu, Yuhang Wang, Weike Pan, Zhong Ming
2022	B	`conf`	ALTRec: Adversarial Learning for Autoencoder-based Tail Recommendation. DSAA Jixiong Liu, Dugang Liu, Weike Pan, Zhong Ming
2022	J	`jnl`	An Efficient Industrial Federated Learning Framework for AIoT: A Face Recognition Application. CoRR Youlong Ding, Xueyang Wu, Zhitao Li, Zeheng Wu, Shengqi Tan, Qian Xu, Weike Pan, Qiang Yang
2022	A	`conf`	Aspect Re-distribution for Learning Better Item Embeddings in Sequential Recommendation. RecSys Wei Cai, Weike Pan, Jingwen Mao, Zhechao Yu, Congfu Xu
2022	B	`conf`	Augmenting Legal Judgment Prediction with Contrastive Case Relations. COLING Dugang Liu, Weihao Du, Lei Li, Weike Pan, Zhong Ming
2022	J	`jnl`	BAR: Behavior-aware recommendation for sequential heterogeneous one-class collaborative filtering. Inf. Sci. Mingkai He, Weike Pan, Zhong Ming
2022	J	`jnl`	Collaborative filtering with implicit feedback via learning pairwise preferences over user-groups and item-sets. CCF Trans. Pervasive Comput. Interact. Yongxin Ni, Shan Ouyang, Lin Li, Weike Pan, Zhong Ming
2022	J	`jnl`	DIWIFT: Discovering Instance-wise Influential Features for Tabular Data. CoRR Pengxiang Cheng, Hong Zhu, Xing Tang, Dugang Liu, Yanyu Chen, Xiaoting Wang, Weike Pan, Zhong Ming, Xiuqiang He
2022	B	`conf`	DeepSet: Deep Learning-based Recommendation with Setwise Preference. IJCNN Lin Li, Weike Pan, Guanliang Chen, Zhong Ming
2022	A	`conf`	Dual-Task Learning for Multi-Behavior Sequential Recommendation. CIKM Jinwei Luo, Mingkai He, Xiaolin Lin, Weike Pan, Zhong Ming
2022	J	`jnl`	Federated one-class collaborative filtering via privacy-aware non-sampling matrix factorization. Knowl. Based Syst. Pengqing Hu, Enyue Yang, Weike Pan, Xiaogang Peng, Zhong Ming
2022	A	`conf`	Global and Personalized Graphs for Heterogeneous Sequential Recommendation by Learning Behavior Transitions and User Intentions. RecSys Weixin Chen, Mingkai He, Yongxin Ni, Weike Pan, Li Chen, Zhong Ming
2022	J	`jnl`	Joint Optimization of Sensing, Decision-Making and Motion-Controlling for Autonomous Vehicles: A Deep Reinforcement Learning Approach. IEEE Trans. Veh. Technol. Longquan Chen, Ying He, Qiang Wang, Weike Pan, Zhong Ming
2022	A*	`conf`	Multi-Constraint Deep Reinforcement Learning for Smooth Action Control. IJCAI Guangyuan Zou, Ying He, F. Richard Yu, Longquan Chen, Weike Pan, Zhong Ming
2022	B	`conf`	PAS: A Position-Aware Similarity Measurement for Sequential Recommendation. IJCNN Zijie Zeng, Jing Lin, Weike Pan, Zhong Ming, Zhongqi Lu
2022	J	`jnl`	PAS: A Position-Aware Similarity Measurement for Sequential Recommendation. CoRR Zijie Zeng, Jing Lin, Weike Pan, Zhong Ming, Zhongqi Lu
2022	J	`jnl`	PrivateRec: Differentially Private Training and Serving for Federated News Recommendation. CoRR Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Yang Cao, Lingjuan Lyu, Weike Pan, Yun Chen, Hong Chen, Xing Xie
2022	J	`jnl`	SCF: Structured collaborative filtering with heterogeneous implicit feedback. Knowl. Based Syst. Wanqi Ma, Weike Pan, Zhong Ming
2022	B	`conf`	SQL-Rank++: A Novel Listwise Approach for Collaborative Ranking with Implicit Feedback. IJCNN Zheng Yuan, Dugang Liu, Weike Pan, Zhong Ming
2022	J	`jnl`	TransRec++: Translation-based sequential recommendation with heterogeneous feedback. Frontiers Comput. Sci. Zhuoxin Zhan, Mingkai He, Weike Pan, Zhong Ming
2022	A*	`conf`	User-Event Graph Embedding Learning for Context-Aware Recommendation. KDD Dugang Liu, Mingkai He, Jinwei Luo, Jiangxu Lin, Meng Wang, Xiaolian Zhang, Weike Pan, Zhong Ming
2022	A	`conf`	VAE++: Variational AutoEncoder for Heterogeneous One-Class Collaborative Filtering. WSDM Wanqi Ma, Xiancong Chen, Weike Pan, Zhong Ming
2022	B	`conf`	When Multi-access Edge Computing Meets Multi-area Intelligent Reflecting Surface: A Multi-agent Reinforcement Learning Approach. IWQoS Shen Zhuang, Ying He, F. Richard Yu, Chengxi Gao, Weike Pan, Zhong Ming
2021	J	`jnl`	FCMF: Federated collective matrix factorization for heterogeneous collaborative filtering. Knowl. Based Syst. Enyue Yang, Yunfeng Huang, Feng Liang, Weike Pan, Zhong Ming
2021	A	`conf`	FR-FMSS: Federated Recommendation via Fake Marks and Secret Sharing. RecSys Zhaohao Lin, Weike Pan, Zhong Ming
2021	J	`jnl`	Factored heterogeneous similarity model for recommendation with implicit feedback. Neurocomputing Yongxin Ni, Xiancong Chen, Weike Pan, Zixiang Chen, Zhong Ming
2021	A*	`conf`	FedRec++: Lossless Federated Recommendation with Explicit Feedback. AAAI Feng Liang, Weike Pan, Zhong Ming
2021	J	`jnl`	FedRec: Federated Recommendation With Explicit Feedback. IEEE Intell. Syst. Guanyu Lin, Feng Liang, Weike Pan, Zhong Ming
2021	J	`jnl`	Holistic Transfer to Rank for Top-N Recommendation. ACM Trans. Interact. Intell. Syst. Wanqi Ma, Xiaoxiao Liao, Wei Dai, Weike Pan, Zhong Ming
2021	A	`conf`	Mitigating Confounding Bias in Recommendation via Information Bottleneck. RecSys Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming
2021	J	`jnl`	Sequence-aware similarity learning for next-item recommendation. J. Supercomput. Zhuoxin Zhan, Liulan Zhong, Jing Lin, Weike Pan, Zhong Ming
2021	A	`conf`	Transfer Learning in Collaborative Recommendation for Bias Reduction. RecSys Zinan Lin, Dugang Liu, Weike Pan, Zhong Ming
2020	A*	`conf`	A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data. SIGIR Dugang Liu, Pengxiang Cheng, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming
2020	J	`jnl`	A Survey on Heterogeneous One-class Collaborative Filtering. ACM Trans. Inf. Syst. Xiancong Chen, Lin Li, Weike Pan, Zhong Ming
2020	B	`conf`	Adaptive Transfer Learning for Heterogeneous One-Class Collaborative Filtering. IJCNN Xiancong Chen, Weike Pan, Zhong Ming
2020	—	`conf`	Asymmetric Pairwise Preference Learning for Heterogeneous One-Class Collaborative Filtering. ICONIP (3) Yongxin Ni, Zhuoxin Zhan, Weike Pan, Zhong Ming
2020	J	`jnl`	CoFi-points: Collaborative Filtering via Pointwise Preference Learning on User/Item-Set. ACM Trans. Intell. Syst. Technol. Lin Li, Weike Pan, Zhong Ming
2020	J	`jnl`	CoFiGAN: Collaborative filtering by generative and discriminative training for one-class recommendation. Knowl. Based Syst. Jixiong Liu, Weike Pan, Zhong Ming
2020	J	`jnl`	Conditional restricted Boltzmann machine for item recommendation. Neurocomputing Zixiang Chen, Wanqi Ma, Wei Dai, Weike Pan, Zhong Ming
2020	—	`conf`	Dual Similarity Learning for Heterogeneous One-Class Collaborative Filtering. BigComp Xiancong Chen, Weike Pan, Zhong Ming
2020	A	`conf`	FISSA: Fusing Item Similarity Models with Self-Attention Networks for Sequential Recommendation. RecSys Jing Lin, Weike Pan, Zhong Ming
2020	J	`jnl`	Matrix factorization with heterogeneous multiclass preference context. Neurocomputing Jing Lin, Weike Pan, Lin Li, Zixiang Chen, Zhong Ming
2020	J	`jnl`	Next-Item Recommendation via Collaborative Filtering with Bidirectional Item Similarity. ACM Trans. Inf. Syst. Zijie Zeng, Jing Lin, Lin Li, Weike Pan, Zhong Ming
2020	B	`conf`	PAT: Preference-Aware Transfer Learning for Recommendation with Heterogeneous Feedback. IJCNN Feng Liang, Wei Dai, Yunfeng Huang, Weike Pan, Zhong Ming
2020	J	`jnl`	Position-aware context attention for session-based recommendation. Neurocomputing Yi Cao, Weifeng Zhang, Bo Song, Weike Pan, Congfu Xu
2020	—	`conf`	Sequence-Aware Factored Mixed Similarity Model for Next-Item Recommendation. BigComp Liulan Zhong, Jing Lin, Weike Pan, Zhong Ming
2020	J	`jnl`	Transfer to Rank for Top-N Recommendation. IEEE Trans. Big Data Wei Dai, Qing Zhang, Weike Pan, Zhong Ming
2019	A	`conf`	Asymmetric Bayesian personalized ranking for one-class collaborative filtering. RecSys Shan Ouyang, Lin Li, Weike Pan, Zhong Ming
2019	—	`conf`	Context-Aware Collaborative Ranking. AIRS Wei Dai, Weike Pan, Zhong Ming
2019	—	`conf`	Modeling Item Categories for Effective Recommendation. DASFAA (3) Bo Song, Yi Cao, Weike Pan, Congfu Xu
2019	J	`jnl`	Neighborhood-enhanced transfer learning for one-class collaborative filtering. Neurocomputing Wanling Cai, Jiongbin Zheng, Weike Pan, Jing Lin, Lin Li, Li Chen, Xiaogang Peng, Zhong Ming
2019	J	`jnl`	Personalized recommendation with implicit feedback via learning pairwise preferences over item-sets. Knowl. Inf. Syst. Weike Pan, Li Chen, Zhong Ming
2019	J	`jnl`	Transfer to Rank for Heterogeneous One-Class Collaborative Filtering. ACM Trans. Inf. Syst. Weike Pan, Qiang Yang, Wanling Cai, Yaofeng Chen, Qing Zhang, Xiaogang Peng, Zhong Ming
2018	A	`conf`	BIS: Bidirectional Item Similarity for Next-Item Recommendation. ICWS Zijie Zeng, Weike Pan, Zhong Ming
2018	A	`conf`	MF-DMPC: Matrix Factorization with Dual Multiclass Preference Context for Rating Prediction. ICWS Jing Lin, Weike Pan, Zhong Ming
2018	A	`conf`	RLT: Residual-Loop Training in Collaborative Filtering for Combining Factorization and Global-Local Neighborhood. ICWS Lei Li, Weike Pan, Li Chen, Zhong Ming
2018	A	`conf`	The 2nd workshop on intelligent recommender systems by knowledge transfer & learning (recsysKTL). RecSys Shaghayegh (Sherry) Sahebi, Yong Zheng, Weike Pan, Ignacio Fernández
2017	J	`jnl`	Big Data. IEEE Intell. Syst. Weike Pan, Qiang Yang, Charu C. Aggarwal, Christoph Koch
2017	J	`jnl`	Collaborative Recommendation with Multiclass Preference Context. IEEE Intell. Syst. Weike Pan, Zhong Ming
2017	J	`jnl`	Mixed similarity learning for recommendation with implicit feedback. Knowl. Based Syst. Mengsi Liu, Weike Pan, Miao Liu, Yaofeng Chen, Xiaogang Peng, Zhong Ming
2017	—	`ed.`	Proceedings of the 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning co-located with ACM Conference on Recommender Systems (RecSys 2017), Como, Italy, August 27, 2017. RecSysKTL Yong Zheng, Weike Pan, Shaghayegh (Sherry) Sahebi, Ignacio Fernández
2017	A	`conf`	The 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning: (RecSysKTL). RecSys Yong Zheng, Weike Pan, Shaghayegh (Sherry) Sahebi, Ignacio Fernández
2017	J	`jnl`	Transfer Learning for Behavior Ranking. ACM Trans. Intell. Syst. Technol. Weike Pan, Qiang Yang, Yuchao Duan, Ben Tan, Zhong Ming
2017	—	`conf`	Transfer Learning from APP Domain to News Domain for Dual Cold-Start Recommendation. RecSysKTL Jixiong Liu, Jiakun Shi, Wanling Cai, Bo Liu, Weike Pan, Qiang Yang, Zhong Ming
2017	—	`conf`	k-CoFi: Modeling k-Granularity Preference Context in Collaborative Filtering. SmartCom Yunfeng Huang, Zixiang Chen, Lin Li, Weike Pan, Zhiguang Shan, Zhong Ming
2016	J	`jnl`	A survey of transfer learning for collaborative recommendation with auxiliary data. Neurocomputing Weike Pan
2016	J	`jnl`	Group Bayesian personalized ranking with rich interactions for one-class collaborative filtering. Neurocomputing Weike Pan, Li Chen
2016	—	`conf`	Hybrid One-Class Collaborative Filtering for Job Recommendation. SmartCom Miao Liu, Zijie Zeng, Weike Pan, Xiaogang Peng, Zhiguang Shan, Zhong Ming
2016	J	`jnl`	Mixed factorization for collaborative recommendation with heterogeneous explicit feedbacks. Inf. Sci. Weike Pan, Shanchuan Xia, Zhuode Liu, Xiaogang Peng, Zhong Ming
2016	—	`conf`	RBPR: Role-based Bayesian Personalized Ranking for Heterogeneous One-Class Collaborative Filtering. UMAP (Extended Proceedings) Xiaogang Peng, Yaofeng Chen, Yuchao Duan, Weike Pan, Zhong Ming
2016	—	`conf`	TOCCF: Time-Aware One-Class Collaborative Filtering. UMAP (Extended Proceedings) Xinchao Chen, Weike Pan, Zhong Ming
2016	J	`jnl`	Transfer Learning for Heterogeneous One-Class Collaborative Filtering. IEEE Intell. Syst. Weike Pan, Mengsi Liu, Zhong Ming
2016	J	`jnl`	Transfer Learning for Semisupervised Collaborative Recommendation. ACM Trans. Interact. Intell. Syst. Weike Pan, Qiang Yang, Yuchao Duan, Zhong Ming
2016	A	`conf`	Where to Place Your Next Restaurant?: Optimal Restaurant Placement via Leveraging User-Generated Reviews. CIKM Feng Wang, Li Chen, Weike Pan
2015	J	`jnl`	Adaptive Bayesian personalized ranking for heterogeneous implicit feedbacks. Knowl. Based Syst. Weike Pan, Hao Zhong, Congfu Xu, Zhong Ming
2015	J	`jnl`	Compressed knowledge transfer via factorization machine for heterogeneous collaborative recommendation. Knowl. Based Syst. Weike Pan, Zhuode Liu, Zhong Ming, Hao Zhong, Xin Wang, Congfu Xu
2014	A	`conf`	Adaptive Pairwise Preference Learning for Collaborative Recommendation with Implicit Feedbacks. CIKM Hao Zhong, Weike Pan, Congfu Xu, Zhi Yin, Zhong Ming
2014	J	`jnl`	An Adaptive Fusion Algorithm for Spam Detection. IEEE Intell. Syst. Congfu Xu, Baojun Su, Yunbiao Cheng, Weike Pan, Li Chen
2014	J	`jnl`	Bird Flu Outbreak Prediction via Satellite Tracking. IEEE Intell. Syst. Yuanchun Zhou, Mingjie Tang, Weike Pan, Jinyan Li, Weihang Wang, Jing Shao, Liang Wu, Jianhui Li, Qiang Yang, Baoping Yan
2014	J	`jnl`	Collaborative Recommendation with Auxiliary Data: A Transfer Learning View. CoRR Weike Pan
2014	A	`conf`	HGMF: Hierarchical Group Matrix Factorization for Collaborative Recommendation. CIKM Xin Wang, Weike Pan, Congfu Xu
2014	J	`jnl`	Interaction-Rich Transfer Learning for Collaborative Filtering with Heterogeneous User Feedback. IEEE Intell. Syst. Weike Pan, Zhong Ming
2013	A	`conf`	CoFiSet: Collaborative Filtering via Learning Pairwise Preferences over Item-sets. SDM Li Chen, Weike Pan
2013	A*	`conf`	GBPR: Group Preference Based Bayesian Personalized Ranking for One-Class Collaborative Filtering. IJCAI Weike Pan, Li Chen
2013	A	`conf`	Recommendation for New Users with Partial Preferences by Integrating Product Reviews with Static Specifications. UMAP Feng Wang, Weike Pan, Li Chen
2013	A	`conf`	Selective Transfer Learning for Cross Domain Recommendation. SDM Zhongqi Lu, Weike Pan, Evan Wei Xiang, Qiang Yang, Lili Zhao, Erheng Zhong
2013	J	`jnl`	Transfer learning in heterogeneous collaborative filtering domains. Artif. Intell. Weike Pan, Qiang Yang
2012	J	`jnl`	Selective Transfer Learning for Cross Domain Recommendation CoRR Zhongqi Lu, Erheng Zhong, Lili Zhao, Evan Wei Xiang, Weike Pan, Qiang Yang
2012	—	`ch.`	Transfer Learning for Text Mining. Mining Text Data Weike Pan, Erheng Zhong, Qiang Yang
2012	A*	`conf`	Transfer Learning in Collaborative Filtering with Uncertain Ratings. AAAI Weike Pan, Evan Wei Xiang, Qiang Yang
2011	A*	`conf`	Source-Selection-Free Transfer Learning. IJCAI Evan Wei Xiang, Sinno Jialin Pan, Weike Pan, Jian Su, Qiang Yang
2011	B	`conf`	Structured clustering with automatic kernel adaptation. IJCNN Weike Pan, James T. Kwok
2011	A*	`conf`	Transfer Learning to Predict Missing Ratings via Heterogeneous User Feedbacks. IJCAI Weike Pan, Nathan Nan Liu, Evan Wei Xiang, Qiang Yang
2010	J	`jnl`	Incorporating the loss function into discriminative clustering of structured outputs. IEEE Trans. Neural Networks Wenliang Zhong, Weike Pan, James T. Kwok, Ivor W. Tsang
2010	A*	`conf`	Transfer Learning in Collaborative Filtering for Sparsity Reduction. AAAI Weike Pan, Evan Wei Xiang, Nathan Nan Liu, Qiang Yang
2009	A*	`conf`	Accelerated Gradient Method for Multi-task Sparse Learning Problem. ICDM Xi Chen, Weike Pan, James T. Kwok, Jaime G. Carbonell
2009	—	`conf`	Accelerated Gradient Methods for Stochastic Optimization and Online Learning. NIPS Chonghai Hu, James T. Kwok, Weike Pan