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ORCIDWeike Pan
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- affiliation: Shenzhen University, China
- affiliation (former): Hong Kong University of Science and Technology
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2020 – today
- 2024
[j54]Weixin Li, Yuhao Wu, Yang Liu, Weike Pan, Zhong Ming:
BMLP: behavior-aware MLP for heterogeneous sequential recommendation. Frontiers Comput. Sci. 18(3): 183341 (2024)- [j53]Zitao Xu, Weike Pan, Zhong Ming:
Transfer learning in cross-domain sequential recommendation. Inf. Sci. 669: 120550 (2024) - [j52]Zhitao Li
, Zhaohao Lin, Feng Liang, Weike Pan, Qiang Yang, Zhong Ming:
Decentralized Federated Recommendation with Privacy-aware Structured Client-level Graph. ACM Trans. Intell. Syst. Technol. 15(4): 77:1-77:23 (2024) - [j51]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): 125:1-125:50 (2024) - [j50]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): 7722-7732 (2024) - [c64]Youlong Ding, Xueyang Wu, Yining Meng, Yonggang Luo, Hao Wang, Weike Pan:
Delving into Differentially Private Transformer. ICML 2024 - [c63]Shu Chen, Zitao Xu, Weike Pan, Qiang Yang, Zhong Ming:
A Survey on Cross-Domain Sequential Recommendation. IJCAI 2024: 7989-7998 - [c62]Ming Chen, Weike Pan, Zhong Ming:
Explicit and Implicit Modeling via Dual-Path Transformer for Behavior Set-informed Sequential Recommendation. KDD 2024: 329-340 - [c61]Weixin Li, Xiaolin Lin, Weike Pan, Zhong Ming:
Dynamic Stage-aware User Interest Learning for Heterogeneous Sequential Recommendation. RecSys 2024: 465-474 - [c60]Jing Xiao, Weike Pan, Zhong Ming:
A Generic Behavior-Aware Data Augmentation Framework for Sequential Recommendation. SIGIR 2024: 1578-1588 - [c59]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: 414-423 - [i16]Shu Chen, Zitao Xu, Weike Pan, Qiang Yang, Zhong Ming:
A Survey on Cross-Domain Sequential Recommendation. CoRR abs/2401.04971 (2024) - [i15]Zhaohao Lin, Weike Pan, Zhong Ming:
Privacy-Preserving Cross-Domain Sequential Recommendation. CoRR abs/2401.15369 (2024) - [i14]Weixin Li, Yuhao Wu, Yang Liu, Weike Pan, Zhong Ming:
BMLP: Behavior-aware MLP for Heterogeneous Sequential Recommendation. CoRR abs/2402.12733 (2024) - [i13]Youlong Ding, Xueyang Wu, Yining Meng, Yonggang Luo, Hao Wang, Weike Pan:
Delving into Differentially Private Transformer. CoRR abs/2405.18194 (2024) - [i12]Shu Chen, Jinwei Luo, Weike Pan, Jiangxing Yu, Xin Huang, Zhong Ming:
Sample Enrichment via Temporary Operations on Subsequences for Sequential Recommendation. CoRR abs/2407.17802 (2024) - 2023
- [j49]Zinan Lin, Dugang Liu, Weike Pan, Qiang Yang, Zhong Ming:
Transfer learning for collaborative recommendation with biased and unbiased data. Artif. Intell. 324: 103992 (2023) - [j48]Pengqing Hu, Zhaohao Lin, Weike Pan, Qiang Yang, Xiaogang Peng, Zhong Ming:
Privacy-preserving graph convolution network for federated item recommendation. Artif. Intell. 324: 103996 (2023) - [j47]Jinwei Luo, Mingkai He, Weike Pan, Zhong Ming:
BGNN: Behavior-aware graph neural network for heterogeneous session-based recommendation. Frontiers Comput. Sci. 17(5): 175336 (2023) - [j46]Jing Lin, Mingkai He, Weike Pan, Zhong Ming:
Collaborative filtering with sequential implicit feedback via learning users' preferences over item-sets. Inf. Sci. 621: 136-155 (2023) - [j45]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): 230-236 (2023) - [j44]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): 14:1-14:22 (2023) - [j43]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): 8143-8156 (2023) - [j42]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): 40:1-40:37 (2023) - [j41]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): 108:1-108:26 (2023) - [j40]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): 1-27 (2023) - [c58]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: 580-592 - [c57]Bingsen Huang, Jinwei Luo, Weihao Du, Weike Pan, Zhong Ming:
Cascaded Cross Attention for Review-based Sequential Recommendation. ICDM 2023: 170-179 - [c56]Yang Liu, Qianzhen Rao, Weike Pan, Zhong Ming:
Variational Collective Graph AutoEncoder for Multi-behavior Recommendation. ICDM 2023: 438-447 - [c55]Zhaohao Lin, Weike Pan, Zhong Ming:
Privacy-Preserving Cross-Domain Sequential Recommendation. ICDM 2023: 1139-1144 - [c54]Zitao Xu, Weike Pan, Zhong Ming:
A Multi-view Graph Contrastive Learning Framework for Cross-Domain Sequential Recommendation. RecSys 2023: 491-501 - [c53]Qianzhen Rao, Yang Liu, Weike Pan, Zhong Ming:
BVAE: Behavior-aware Variational Autoencoder for Multi-Behavior Multi-Task Recommendation. RecSys 2023: 625-636 - [c52]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: 1673-1682 - [i11]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 abs/2302.03419 (2023) - [i10]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 abs/2303.11574 (2023) - [i9]Youlong Ding, Xueyang Wu, Hao Wang, Weike Pan:
DPFormer: Learning Differentially Private Transformer on Long-Tailed Data. CoRR abs/2305.17633 (2023) - [i8]Guowei Wu, Weike Pan, Zhong Ming:
GNN4FR: A Lossless GNN-based Federated Recommendation Framework. CoRR abs/2308.01197 (2023) - [i7]Xiaoqing Chen, Zhitao Li, Weike Pan, Zhong Ming:
A Survey on Multi-Behavior Sequential Recommendation. CoRR abs/2308.15701 (2023) - 2022
- [j39]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): 32-44 (2022) - [j38]Zhuoxin Zhan, Mingkai He, Weike Pan, Zhong Ming:
TransRec++: Translation-based sequential recommendation with heterogeneous feedback. Frontiers Comput. Sci. 16(2): 162615 (2022) - [j37]Mingkai He, Weike Pan, Zhong Ming:
BAR: Behavior-aware recommendation for sequential heterogeneous one-class collaborative filtering. Inf. Sci. 608: 881-899 (2022) - [j36]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: 109441 (2022) - [j35]Wanqi Ma, Weike Pan, Zhong Ming:
SCF: Structured collaborative filtering with heterogeneous implicit feedback. Knowl. Based Syst. 258: 109999 (2022) - [j34]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): 4642-4654 (2022) - [c51]Jinwei Luo, Mingkai He, Xiaolin Lin, Weike Pan, Zhong Ming:
Dual-Task Learning for Multi-Behavior Sequential Recommendation. CIKM 2022: 1379-1388 - [c50]Dugang Liu, Weihao Du, Lei Li, Weike Pan, Zhong Ming:
Augmenting Legal Judgment Prediction with Contrastive Case Relations. COLING 2022: 2658-2667 - [c49]Jixiong Liu, Dugang Liu, Weike Pan, Zhong Ming:
ALTRec: Adversarial Learning for Autoencoder-based Tail Recommendation. DSAA 2022: 1-9 - [c48]Guangyuan Zou, Ying He, F. Richard Yu, Longquan Chen, Weike Pan, Zhong Ming:
Multi-Constraint Deep Reinforcement Learning for Smooth Action Control. IJCAI 2022: 3802-3808 - [c47]Lin Li, Weike Pan, Guanliang Chen, Zhong Ming:
DeepSet: Deep Learning-based Recommendation with Setwise Preference. IJCNN 2022: 1-9 - [c46]Zheng Yuan, Dugang Liu, Weike Pan, Zhong Ming:
SQL-Rank++: A Novel Listwise Approach for Collaborative Ranking with Implicit Feedback. IJCNN 2022: 1-8 - [c45]Zijie Zeng, Jing Lin, Weike Pan, Zhong Ming, Zhongqi Lu:
PAS: A Position-Aware Similarity Measurement for Sequential Recommendation. IJCNN 2022: 1-8 - [c44]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: 1-8 - [c43]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: 1-10 - [c42]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: 1051-1059 - [c41]Wei Cai, Weike Pan, Jingwen Mao, Zhechao Yu, Congfu Xu:
Aspect Re-distribution for Learning Better Item Embeddings in Sequential Recommendation. RecSys 2022: 49-58 - [c40]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: 268-277 - [c39]Wanqi Ma, Xiancong Chen, Weike Pan, Zhong Ming:
VAE++: Variational AutoEncoder for Heterogeneous One-Class Collaborative Filtering. WSDM 2022: 666-674 - [i6]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 abs/2204.08146 (2022) - [i5]Zijie Zeng, Jing Lin, Weike Pan, Zhong Ming, Zhongqi Lu:
PAS: A Position-Aware Similarity Measurement for Sequential Recommendation. CoRR abs/2205.06997 (2022) - [i4]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 abs/2206.13398 (2022) - [i3]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 abs/2207.02773 (2022) - 2021
- [j33]Guanyu Lin, Feng Liang, Weike Pan, Zhong Ming:
FedRec: Federated Recommendation With Explicit Feedback. IEEE Intell. Syst. 36(5): 21-30 (2021) - [j32]Yongxin Ni, Xiancong Chen, Weike Pan, Zixiang Chen, Zhong Ming:
Factored heterogeneous similarity model for recommendation with implicit feedback. Neurocomputing 455: 59-67 (2021) - [j31]Enyue Yang, Yunfeng Huang, Feng Liang, Weike Pan, Zhong Ming:
FCMF: Federated collective matrix factorization for heterogeneous collaborative filtering. Knowl. Based Syst. 220: 106946 (2021) - [j30]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): 8:1 (2021) - [j29]Zhuoxin Zhan, Liulan Zhong, Jing Lin, Weike Pan, Zhong Ming:
Sequence-aware similarity learning for next-item recommendation. J. Supercomput. 77(7): 7509-7534 (2021) - [c38]Feng Liang, Weike Pan, Zhong Ming:
FedRec++: Lossless Federated Recommendation with Explicit Feedback. AAAI 2021: 4224-4231 - [c37]Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming:
Mitigating Confounding Bias in Recommendation via Information Bottleneck. RecSys 2021: 351-360 - [c36]Zhaohao Lin, Weike Pan, Zhong Ming:
FR-FMSS: Federated Recommendation via Fake Marks and Secret Sharing. RecSys 2021: 668-673 - [c35]Zinan Lin, Dugang Liu, Weike Pan, Zhong Ming:
Transfer Learning in Collaborative Recommendation for Bias Reduction. RecSys 2021: 736-740 - 2020
- [j28]Yi Cao, Weifeng Zhang, Bo Song, Weike Pan, Congfu Xu:
Position-aware context attention for session-based recommendation. Neurocomputing 376: 65-72 (2020) - [j27]Wei Cai, Weike Pan, Jixiong Liu, Zixiang Chen, Zhong Ming:
k-Reciprocal nearest neighbors algorithm for one-class collaborative filtering. Neurocomputing 381: 207-216 (2020) - [j26]Zixiang Chen, Wanqi Ma, Wei Dai, Weike Pan, Zhong Ming:
Conditional restricted Boltzmann machine for item recommendation. Neurocomputing 385: 269-277 (2020) - [j25]Jing Lin, Weike Pan, Lin Li, Zixiang Chen, Zhong Ming:
Matrix factorization with heterogeneous multiclass preference context. Neurocomputing 390: 148-157 (2020) - [j24]Jixiong Liu, Weike Pan, Zhong Ming:
CoFiGAN: Collaborative filtering by generative and discriminative training for one-class recommendation. Knowl. Based Syst. 191: 105255 (2020) - [j23]Wei Dai, Qing Zhang, Weike Pan, Zhong Ming:
Transfer to Rank for Top-N Recommendation. IEEE Trans. Big Data 6(4): 770-779 (2020) - [j22]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): 41:1-41:24 (2020) - [j21]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): 7:1-7:22 (2020) - [j20]Xiancong Chen, Lin Li, Weike Pan, Zhong Ming:
A Survey on Heterogeneous One-class Collaborative Filtering. ACM Trans. Inf. Syst. 38(4): 35:1-35:54 (2020) - [c34]Liulan Zhong, Jing Lin, Weike Pan, Zhong Ming:
Sequence-Aware Factored Mixed Similarity Model for Next-Item Recommendation. BigComp 2020: 181-188 - [c33]Xiancong Chen, Weike Pan, Zhong Ming:
Dual Similarity Learning for Heterogeneous One-Class Collaborative Filtering. BigComp 2020: 193-196 - [c32]Yongxin Ni, Zhuoxin Zhan, Weike Pan, Zhong Ming:
Asymmetric Pairwise Preference Learning for Heterogeneous One-Class Collaborative Filtering. ICONIP (3) 2020: 407-419 - [c31]Xiancong Chen, Weike Pan, Zhong Ming:
Adaptive Transfer Learning for Heterogeneous One-Class Collaborative Filtering. IJCNN 2020: 1-8 - [c30]Feng Liang, Wei Dai, Yunfeng Huang, Weike Pan, Zhong Ming:
PAT: Preference-Aware Transfer Learning for Recommendation with Heterogeneous Feedback. IJCNN 2020: 1-7 - [c29]Jing Lin, Weike Pan, Zhong Ming:
FISSA: Fusing Item Similarity Models with Self-Attention Networks for Sequential Recommendation. RecSys 2020: 130-139 - [c28]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: 831-840
2010 – 2019
- 2019
- [j19]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: 80-87 (2019) - [j18]Weike Pan, Li Chen, Zhong Ming:
Personalized recommendation with implicit feedback via learning pairwise preferences over item-sets. Knowl. Inf. Syst. 58(2): 295-318 (2019) - [j17]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): 10:1-10:20 (2019) - [c27]Wei Dai, Weike Pan, Zhong Ming:
Context-Aware Collaborative Ranking. AIRS 2019: 43-55 - [c26]Bo Song, Yi Cao, Weike Pan, Congfu Xu:
Modeling Item Categories for Effective Recommendation. DASFAA (3) 2019: 402-405 - [c25]Shan Ouyang, Lin Li, Weike Pan, Zhong Ming:
Asymmetric Bayesian personalized ranking for one-class collaborative filtering. RecSys 2019: 373-377 - 2018
- [c24]Zijie Zeng, Weike Pan, Zhong Ming:
BIS: Bidirectional Item Similarity for Next-Item Recommendation. ICWS 2018: 311-325 - [c23]Lei Li, Weike Pan, Li Chen, Zhong Ming:
RLT: Residual-Loop Training in Collaborative Filtering for Combining Factorization and Global-Local Neighborhood. ICWS 2018: 326-336 - [c22]Jing Lin, Weike Pan, Zhong Ming:
MF-DMPC: Matrix Factorization with Dual Multiclass Preference Context for Rating Prediction. ICWS 2018: 337-349 - [c21]Shaghayegh (Sherry) Sahebi, Yong Zheng, Weike Pan, Ignacio Fernández:
The 2nd workshop on intelligent recommender systems by knowledge transfer & learning (recsysKTL). RecSys 2018: 523-524 - 2017
- [j16]Weike Pan, Qiang Yang, Charu C. Aggarwal, Christoph Koch:
Big Data. IEEE Intell. Syst. 32(2): 7-8 (2017) - [j15]Weike Pan, Zhong Ming:
Collaborative Recommendation with Multiclass Preference Context. IEEE Intell. Syst. 32(2): 45-51 (2017) - [j14]Mengsi Liu, Weike Pan, Miao Liu, Yaofeng Chen, Xiaogang Peng, Zhong Ming:
Mixed similarity learning for recommendation with implicit feedback. Knowl. Based Syst. 119: 178-185 (2017) - [j13]Weike Pan, Qiang Yang, Yuchao Duan, Ben Tan, Zhong Ming:
Transfer Learning for Behavior Ranking. ACM Trans. Intell. Syst. Technol. 8(5): 65:1-65:23 (2017) - [c20]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: 38-41 - [c19]Yong Zheng, Weike Pan, Shaghayegh (Sherry) Sahebi, Ignacio Fernández:
The 1st Workshop on Intelligent Recommender Systems by Knowledge Transfer & Learning: (RecSysKTL). RecSys 2017: 366-367 - [c18]Yunfeng Huang, Zixiang Chen, Lin Li, Weike Pan, Zhiguang Shan, Zhong Ming:
k-CoFi: Modeling k-Granularity Preference Context in Collaborative Filtering. SmartCom 2017: 406-416 - [e1]Yong Zheng, Weike Pan, Shaghayegh (Sherry) Sahebi, Ignacio Fernández:
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. CEUR Workshop Proceedings 1887, CEUR-WS.org 2017 [contents] - 2016
- [j12]Weike Pan, Mengsi Liu, Zhong Ming:
Transfer Learning for Heterogeneous One-Class Collaborative Filtering. IEEE Intell. Syst. 31(4): 43-49 (2016) - [j11]Weike Pan:
A survey of transfer learning for collaborative recommendation with auxiliary data. Neurocomputing 177: 447-453 (2016) - [j10]Weike Pan, Li Chen:
Group Bayesian personalized ranking with rich interactions for one-class collaborative filtering. Neurocomputing 207: 501-510 (2016) - [j9]Weike Pan, Shanchuan Xia, Zhuode Liu, Xiaogang Peng, Zhong Ming:
Mixed factorization for collaborative recommendation with heterogeneous explicit feedbacks. Inf. Sci. 332: 84-93 (2016) - [j8]Weike Pan, Qiang Yang, Yuchao Duan, Zhong Ming:
Transfer Learning for Semisupervised Collaborative Recommendation. ACM Trans. Interact. Intell. Syst. 6(2): 10:1-10:21 (2016) - [c17]Feng Wang, Li Chen, Weike Pan:
Where to Place Your Next Restaurant?: Optimal Restaurant Placement via Leveraging User-Generated Reviews. CIKM 2016: 2371-2376 - [c16]Miao Liu, Zijie Zeng, Weike Pan, Xiaogang Peng, Zhiguang Shan, Zhong Ming:
Hybrid One-Class Collaborative Filtering for Job Recommendation. SmartCom 2016: 267-276 - [c15]Xinchao Chen, Weike Pan, Zhong Ming:
TOCCF: Time-Aware One-Class Collaborative Filtering. UMAP (Extended Proceedings) 2016 - [c14]Xiaogang Peng, Yaofeng Chen, Yuchao Duan, Weike Pan, Zhong Ming:
RBPR: Role-based Bayesian Personalized Ranking for Heterogeneous One-Class Collaborative Filtering. UMAP (Extended Proceedings) 2016 - 2015
- [j7]Weike Pan, Hao Zhong, Congfu Xu, Zhong Ming:
Adaptive Bayesian personalized ranking for heterogeneous implicit feedbacks. Knowl. Based Syst. 73: 173-180 (2015) - [j6]Weike Pan, Zhuode Liu, Zhong Ming, Hao Zhong, Xin Wang, Congfu Xu:
Compressed knowledge transfer via factorization machine for heterogeneous collaborative recommendation. Knowl. Based Syst. 85: 234-244 (2015) - 2014
- [j5]Congfu Xu, Baojun Su, Yunbiao Cheng, Weike Pan, Li Chen:
An Adaptive Fusion Algorithm for Spam Detection. IEEE Intell. Syst. 29(4): 2-8 (2014) - [j4]Yuanchun Zhou, MingJie Tang, Weike Pan, Jinyan Li, Weihang Wang, Jing Shao, Liang Wu, Jianhui Li, Qiang Yang, Baoping Yan:
Bird Flu Outbreak Prediction via Satellite Tracking. IEEE Intell. Syst. 29(4): 10-17 (2014) - [j3]Weike Pan, Zhong Ming:
Interaction-Rich Transfer Learning for Collaborative Filtering with Heterogeneous User Feedback. IEEE Intell. Syst. 29(6): 48-54 (2014) - [c13]Xin Wang, Weike Pan, Congfu Xu:
HGMF: Hierarchical Group Matrix Factorization for Collaborative Recommendation. CIKM 2014: 769-778 - [c12]Hao Zhong, Weike Pan, Congfu Xu, Zhi Yin, Zhong Ming:
Adaptive Pairwise Preference Learning for Collaborative Recommendation with Implicit Feedbacks. CIKM 2014: 1999-2002 - [i2]Weike Pan:
Collaborative Recommendation with Auxiliary Data: A Transfer Learning View. CoRR abs/1407.2919 (2014) - 2013
- [j2]Weike Pan, Qiang Yang:
Transfer learning in heterogeneous collaborative filtering domains. Artif. Intell. 197: 39-55 (2013) - [c11]Weike Pan, Li Chen:
GBPR: Group Preference Based Bayesian Personalized Ranking for One-Class Collaborative Filtering. IJCAI 2013: 2691-2697 - [c10]Li Chen, Weike Pan:
CoFiSet: Collaborative Filtering via Learning Pairwise Preferences over Item-sets. SDM 2013: 180-188 - [c9]Zhongqi Lu, Weike Pan, Evan Wei Xiang, Qiang Yang, Lili Zhao, Erheng Zhong:
Selective Transfer Learning for Cross Domain Recommendation. SDM 2013: 641-649 - [c8]Feng Wang, Weike Pan, Li Chen:
Recommendation for New Users with Partial Preferences by Integrating Product Reviews with Static Specifications. UMAP 2013: 281-288 - 2012
- [c7]Weike Pan, Evan Wei Xiang, Qiang Yang:
Transfer Learning in Collaborative Filtering with Uncertain Ratings. AAAI 2012: 662-668 - [p1]Weike Pan, Erheng Zhong, Qiang Yang:
Transfer Learning for Text Mining. Mining Text Data 2012: 223-257 - [i1]Zhongqi Lu, Erheng Zhong, Lili Zhao, Evan Wei Xiang, Weike Pan, Qiang Yang:
Selective Transfer Learning for Cross Domain Recommendation. CoRR abs/1210.7056 (2012) - 2011
- [c6]Weike Pan, Nathan Nan Liu, Evan Wei Xiang, Qiang Yang:
Transfer Learning to Predict Missing Ratings via Heterogeneous User Feedbacks. IJCAI 2011: 2318-2323 - [c5]Evan Wei Xiang, Sinno Jialin Pan, Weike Pan, Jian Su, Qiang Yang:
Source-Selection-Free Transfer Learning. IJCAI 2011: 2355-2360 - [c4]Weike Pan, James T. Kwok:
Structured clustering with automatic kernel adaptation. IJCNN 2011: 1322-1327 - 2010
- [j1]Wenliang Zhong, Weike Pan, James T. Kwok, Ivor W. Tsang:
Incorporating the loss function into discriminative clustering of structured outputs. IEEE Trans. Neural Networks 21(10): 1564-1575 (2010) - [c3]Weike Pan, Evan Wei Xiang, Nathan Nan Liu, Qiang Yang:
Transfer Learning in Collaborative Filtering for Sparsity Reduction. AAAI 2010: 230-235
2000 – 2009
- 2009
- [c2]Xi Chen, Weike Pan, James T. Kwok, Jaime G. Carbonell:
Accelerated Gradient Method for Multi-task Sparse Learning Problem. ICDM 2009: 746-751 - [c1]Chonghai Hu, James T. Kwok, Weike Pan:
Accelerated Gradient Methods for Stochastic Optimization and Online Learning. NIPS 2009: 781-789
Coauthor Index
[j54] [j53] [j52] [j51] [j50] [c63] [c62] [c61] [c60] [c59] [i16] [i15] [i14] [i12] [j49] [j48] [j47] [j46] [j45] [j44] [j43] [j42] [j41] [j40] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [i11] [i10] [i8] [i7] [j39] [j38] [j37] [j36] [j35] [j34] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c43] [c42] [c40] [c39] [i5] [i3] [j33] [j32] [j31] [j30] [j29] [c38] [c37] [c36] [c35] [j27] [j26] [j25] [j24] [j23] [j22] [j21] [j20] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [j19] [j18] [j17] [c27] [c25] [c24] [c23] [c22] [j15] [j14] [j13] [c20] [c18] [j12] [j9] [j8] [c16] [c15] [c14] [j7] [j6] [j3] [c12]
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