Chao Wang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 26

Top Topics

Implicit Feedback

Demand Forecasting

Top Venues

ACM Trans. Inf. Syst.

Publications

Tianfu Wang, Liwei Deng, Chao Wang, Jianxun Lian, Yue Yan, Nicholas Jing Yuan, Qi Zhang, Hui Xiong
COMET: NFT Price Prediction with Wallet Profiling. KDD (2024)
Leilei Ding, Dazhong Shen, Chao Wang, Tianfu Wang, Le Zhang, Hui Xiong, Yanyong Zhang
DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives. CoRR (2024)
Wei Wu, Chao Wang, Dazhong Shen, Chuan Qin, Liyi Chen, Hui Xiong
AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations. SIGIR (2024)
Tianfu Wang, Qilin Fan, Chao Wang, Long Yang, Leilei Ding, Nicholas Jing Yuan, Hui Xiong
FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation. CoRR (2024)
Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Enhong Chen, Hui Xiong
SetRank: A Setwise Bayesian Approach for Collaborative Ranking in Recommender System. ACM Trans. Inf. Syst. 42 (2) (2024)
Tianfu Wang, Liwei Deng, Chao Wang, Jianxun Lian, Yue Yan, Nicholas Jing Yuan, Qi Zhang, Hui Xiong
COMET: NFT Price Prediction with Wallet Profiling. CoRR (2024)
Xi Chen, Chuan Qin, Chuyu Fang, Chao Wang, Chen Zhu, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong
Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking. CoRR (2024)
Wei Wu, Chao Wang, Dazhong Shen, Chuan Qin, Liyi Chen, Hui Xiong
AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations. CoRR (2024)
Shuyao Wang, Yongduo Sui, Chao Wang, Hui Xiong
Unleashing the Power of Knowledge Graph for Recommendation via Invariant Learning. WWW (2024)
Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Xiangyu Zhao, Baoxing Huai, Xian Wu, Enhong Chen
Interaction-aware Drug Package Recommendation via Policy Gradient. ACM Trans. Inf. Syst. 41 (1) (2023)
Chao Wang, Hengshu Zhu, Peng Wang, Chen Zhu, Xi Zhang, Enhong Chen, Hui Xiong
Personalized and Explainable Employee Training Course Recommendations: A Bayesian Variational Approach. ACM Trans. Inf. Syst. 40 (4) (2022)
Chao Wang, Hengshu Zhu, Qiming Hao, Keli Xiao, Hui Xiong
Variable Interval Time Sequence Modeling for Career Trajectory Prediction: Deep Collaborative Perspective. WWW (2021)
Dazhong Shen, Chuan Qin, Chao Wang, Hengshu Zhu, Enhong Chen, Hui Xiong
Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness. IJCAI (2021)
Dazhong Shen, Chuan Qin, Chao Wang, Hengshu Zhu, Enhong Chen, Hui Xiong
Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness. CoRR (2021)
Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Baoxing Huai, Tongzhu Liu, Enhong Chen
Drug Package Recommendation via Interaction-aware Graph Induction. WWW (2021)
Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Baoxing Huai, Tongzhu Liu, Enhong Chen
Drug Package Recommendation via Interaction-aware Graph Induction. CoRR (2021)
Miao Chen, Chao Wang, Chuan Qin, Tong Xu, Jianhui Ma, Enhong Chen, Hui Xiong
A Trend-aware Investment Target Recommendation System with Heterogeneous Graph. IJCNN (2021)
Dazhong Shen, Chuan Qin, Chao Wang, Zheng Dong, Hengshu Zhu, Hui Xiong
Topic Modeling Revisited: A Document Graph-based Neural Network Perspective. NeurIPS (2021)
Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Hui Xiong
SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback. CoRR (2020)
Chao Wang, Hengshu Zhu, Chen Zhu, Xi Zhang, Enhong Chen, Hui Xiong
Personalized Employee Training Course Recommendation with Career Development Awareness. WWW (2020)
Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Hui Xiong
SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback. AAAI (2020)
Chengqiang Lu, Qi Liu, Chao Wang, Zhenya Huang, Peize Lin, Lixin He
Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective. CoRR (2019)
Xiaoqing Huang, Qi Liu, Chao Wang, Haoyu Han, Jianhui Ma, Enhong Chen, Yu Su, Shijin Wang
Constructing Educational Concept Maps with Multiple Relationships from Multi-Source Data. ICDM (2019)
Chengqiang Lu, Qi Liu, Chao Wang, Zhenya Huang, Peize Lin, Lixin He
Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective. AAAI (2019)
Chao Wang, Qi Liu, Run-ze Wu, Enhong Chen, Chuanren Liu, Xunpeng Huang, Zhenya Huang
Confidence-Aware Matrix Factorization for Recommender Systems. AAAI (2018)
Runlong Yu, Yunzhou Zhang, Yuyang Ye, Le Wu, Chao Wang, Qi Liu, Enhong Chen
Multiple Pairwise Ranking with Implicit Feedback. CIKM (2018)