Chao Wang

According to our database, Chao Wang authored at least 31 papers between 2018 and 2024.

Collaborative distances:

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

2024

SetRank: A Setwise Bayesian Approach for Collaborative Ranking in Recommender System.

Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Enhong Chen, Hui Xiong

ACM Trans. Inf. Syst., March, 2024

TokenSelect: Efficient Long-Context Inference and Length Extrapolation for LLMs via Dynamic Token-Level KV Cache Selection.

Wei Wu, Zhuoshi Pan, Chao Wang, Liyi Chen, Yunchu Bai, Kun Fu, Zheng Wang, Hui Xiong

CoRR, 2024

Towards Constraint-aware Learning for Resource Allocation in NFV-enabled Networks.

Tianfu Wang, Long Yang, Chao Wang, Chuan Qin, Liwei Deng, Li Shen, Hui Xiong

CoRR, 2024

Structure-Enhanced Protein Instruction Tuning: Towards General-Purpose Protein Understanding.

Wei Wu, Chao Wang, Liyi Chen, Mingze Yin, Yiheng Zhu, Kun Fu, Jieping Ye, Hui Xiong, Zheng Wang

CoRR, 2024

Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking.

Xi Chen, Chuan Qin, Chuyu Fang, Chao Wang, Chen Zhu, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong

CoRR, 2024

DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives.

Leilei Ding, Dazhong Shen, Chao Wang, Tianfu Wang, Le Zhang, Hui Xiong, Yanyong Zhang

CoRR, 2024

Unleashing the Power of Knowledge Graph for Recommendation via Invariant Learning.

Shuyao Wang, Yongduo Sui, Chao Wang, Hui Xiong

Proceedings of the ACM on Web Conference 2024, 2024

Graph Signal Diffusion Model for Collaborative Filtering.

Yunqin Zhu, Chao Wang, Qi Zhang, Hui Xiong

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

AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations.

Wei Wu, Chao Wang, Dazhong Shen, Chuan Qin, Liyi Chen, Hui Xiong

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

COMET: NFT Price Prediction with Wallet Profiling.

Tianfu Wang, Liwei Deng, Chao Wang, Jianxun Lian, Yue Yan, Nicholas Jing Yuan, Qi Zhang, Hui Xiong

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

DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives.

Leilei Ding, Dazhong Shen, Chao Wang, Tianfu Wang, Le Zhang, Yanyong Zhang

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

Pre-DyGAE: Pre-training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting.

Xi Chen, Chuan Qin, Zhigaoyuan Wang, Yihang Cheng, Chao Wang, Hengshu Zhu, Hui Xiong

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

FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation.

Tianfu Wang, Qilin Fan, Chao Wang, Long Yang, Leilei Ding, Nicholas Jing Yuan, Hui Xiong

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

Super-Node Generation for GNN-Based Recommender Systems: Enhancing Distant Node Integration via Graph Coarsening.

Shasha Hu, Chao Wang, Chuan Qin, Hengshu Zhu, Hui Xiong

Proceedings of the Database Systems for Advanced Applications, 2024

Temporal Graph Contrastive Learning for Sequential Recommendation.

Shengzhe Zhang, Liyi Chen, Chao Wang, Shuangli Li, Hui Xiong

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Interaction-aware Drug Package Recommendation via Policy Gradient.

Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Xiangyu Zhao, Baoxing Huai, Xian Wu, Enhong Chen

ACM Trans. Inf. Syst., January, 2023

Towards Graph-Aware Diffusion Modeling for Collaborative Filtering.

Yunqin Zhu, Chao Wang, Hui Xiong

CoRR, 2023

Preference or Intent? Double Disentangled Collaborative Filtering.

Chao Wang, Hengshu Zhu, Dazhong Shen, Wei Wu, Hui Xiong

CoRR, 2023

Hybrid Heterogeneous Graph Neural Networks for Fund Performance Prediction.

Siyuan Hao, Le Dai, Le Zhang, Shengming Zhang, Chao Wang, Chuan Qin, Hui Xiong

Proceedings of the Knowledge Science, Engineering and Management, 2023

2022

Personalized and Explainable Employee Training Course Recommendations: A Bayesian Variational Approach.

Chao Wang, Hengshu Zhu, Peng Wang, Chen Zhu, Xi Zhang, Enhong Chen, Hui Xiong

ACM Trans. Inf. Syst., 2022

2021

Drug Package Recommendation via Interaction-aware Graph Induction.

Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Baoxing Huai, Tongzhu Liu, Enhong Chen

Proceedings of the WWW '21: The Web Conference 2021, 2021

Variable Interval Time Sequence Modeling for Career Trajectory Prediction: Deep Collaborative Perspective.

Chao Wang, Hengshu Zhu, Qiming Hao, Keli Xiao, Hui Xiong

Proceedings of the WWW '21: The Web Conference 2021, 2021

Topic Modeling Revisited: A Document Graph-based Neural Network Perspective.

Dazhong Shen, Chuan Qin, Chao Wang, Zheng Dong, Hengshu Zhu, Hui Xiong

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Trend-aware Investment Target Recommendation System with Heterogeneous Graph.

Miao Chen, Chao Wang, Chuan Qin, Tong Xu, Jianhui Ma, Enhong Chen, Hui Xiong

Proceedings of the International Joint Conference on Neural Networks, 2021

Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness.

Dazhong Shen, Chuan Qin, Chao Wang, Hengshu Zhu, Enhong Chen, Hui Xiong

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Personalized Employee Training Course Recommendation with Career Development Awareness.

Chao Wang, Hengshu Zhu, Chen Zhu, Xi Zhang, Enhong Chen, Hui Xiong

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback.

Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Hui Xiong

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Constructing Educational Concept Maps with Multiple Relationships from Multi-Source Data.

Xiaoqing Huang, Qi Liu, Chao Wang, Haoyu Han, Jianhui Ma, Enhong Chen, Yu Su, Shijin Wang

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective.

Chengqiang Lu, Qi Liu, Chao Wang, Zhenya Huang, Peize Lin, Lixin He

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Multiple Pairwise Ranking with Implicit Feedback.

Runlong Yu, Yunzhou Zhang, Yuyang Ye, Le Wu, Chao Wang, Qi Liu, Enhong Chen

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Confidence-Aware Matrix Factorization for Recommender Systems.

Chao Wang, Qi Liu, Run-ze Wu, Enhong Chen, Chuanren Liu, Xunpeng Huang, Zhenya Huang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018