王超｜中国科学技术大学｜学者主页

2026

GenDis: Generative-Discriminative Dual-View Co-Training for Generalized Category Discovery

Xi Chen, Chuan Qin, Jinpeng Li, Shasha Hu, Chao Wang, Hengshu Zhu, Hui Xiong

Annual Meeting of the Association for Computational Linguistics

DOI

2026

Representation-Aware Modularity: Efficient Cross-Task Generalization for LLMs

Zheng Gong, Ying Sun, Chao Wang, Xiaohui Huo, Ping Li, Yi Zheng, Zhefeng Wang

International Joint Conference on Artificial Intelligence

DOI

2026

CEDAR: Controlled and Event-Driven Demand Forecasting via Residual Decomposition

Junjie Meng, Zhang Ranxu, Zi-an Zhang, Shujun Liu, Xiaoning Qi, Xiaozhou Xu, Yanyong Zhang, Hui Xiong, Chao Wang

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2026

CoGen: A Two-Stage Unified Multi-modal Framework for Bundle Construction via Discrete Semantics Transfer

Yunqian Yang, Qi Zhang, Shijin Wang, Yanyong Zhang, Chao Wang

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2026

Rethinking Popularity Bias in Collaborative Filtering via Analytical Vector Decomposition

Lingfeng Liu, Yixin Song, Dazhong Shen, Bing Yin, Hao Li, Yanyong Zhang, Chao Wang

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)

DOI

2026

Enhancing Conversational Recommender Systems with Tree-Structured Knowledge and Pretrained Language Models

Yongwen Ren, Chao Wang, Peng Du, Chuan Qin, Dazhong Shen, Hui Xiong

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2026

MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation

Zhang Ranxu, Junjie Meng, Ying Sun, Ziqi Xu, Bing Yin, Hao Li, Yanyong Zhang, Chao Wang

ACM Web Conference (WWW)

DOI

2026

Graph-based Prompt Learning with Mixture of Experts for Multi-task Corporate Profiling

Yunchu Bai, Chao Wang, Ying Sun, Chuan Qin, Wei Wu, Hui Xiong

ACM Transactions on Knowledge Discovery from Data

DOI

2025

Can LLMs Enhance Fairness in Recommendation Systems? A Data Augmentation Approach

Hanzhe Li, Dazhong Shen, Chao Wang, Yuting Liu, Jingjing Gu

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2025

LLMCDSR: Enhancing Cross-Domain Sequential Recommendation with Large Language Models

Haoran Xin, Ying Sun, Chao Wang, Hui Xiong

ACM Transactions on Information Systems

DOI

2025

FACE: A General Framework for Mapping Collaborative Filtering Embeddings into LLM Tokens

Chao Wang, Yixin Song, Jinhui Ye, Chuan Qin, Dazhong Shen, Lingfeng Liu, Xiang Wang, Yanyong Zhang

neural information processing systems

DOI

2025

Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential Recommendation

Shengzhe Zhang, Liyi Chen, Dazhong Shen, Chao Wang, Hui Xiong

DOI

2025

大语言模型中的差分隐私保护研究

党铮铮，王超，赵宁

《国外电子测量技术》

DOI

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

DOI

2024

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

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

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2024

Graph Signal Diffusion Model for Collaborative Filtering

Yunqin Zhu, Chao Wang, Qi Zhang, Hui Xiong

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

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

Lecture notes in computer science

DOI

2023

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

Chao Wang, Heng-Shu Zhu, Chen Zhu, Chuan Qin, En-Hong Chen, Hui Xiong

ACM Trans. Inf. Syst.

DOI

2023

Preference or Intent? Double Disentangled Collaborative Filtering

Chao Wang, Heng-Shu Zhu, Dazhong Shen, Wei Wu, Hui Xiong

arXiv.org

DOI

2023

Hybrid Heterogeneous Graph Neural Networks for Fund Performance Prediction

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

Knowledge Science, Engineering and Management

DOI

2022

Interaction-aware Drug Package Recommendation via Policy Gradient

Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Peng-Gang Qin, Xiang-Yu Zhao, Baoxing Huai, Xian Wu, En-Hong Chen

ACM Trans. Inf. Syst.

DOI

2022

基于用户决策行为的个性化推荐方法及应用研究

王超

《中国科学技术大学》

2021

Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness

Dazhong Shen, Chuan Qin, Chao Wang, Heng-Shu Zhu, En-Hong Chen, Hui Xiong

International Joint Conference on Artificial Intelligence

DOI

2021

A Trend-aware Investment Target Recommendation System with Heterogeneous Graph

Miao Chen, Chao Wang, Chuan Qin, Tong Xu, Jianhui Ma, En-Hong Chen, Hui Xiong

IEEE International Joint Conference on Neural Network

DOI

2021

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

Chao Wang, Heng-Shu Zhu, Peng Wang, Chen Zhu, Xi Zhang, En-Hong Chen, Hui Xiong

ACM Trans. Inf. Syst.

DOI

2021

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

Chao Wang, Heng-Shu Zhu, Qiming Hao, Keli Xiao, Hui Xiong

The Web Conference

DOI

2021

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

Dazhong Shen, Chuan Qin, Chao Wang, Zheng Dong, Heng-Shu Zhu, Hui Xiong

Neural Information Processing Systems

2021

Drug Package Recommendation via Interaction-aware Graph Induction

Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Peng-Gang Qin, Baoxing Huai, Tongzhu Liu, En-Hong Chen

The Web Conference

DOI

2020

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

Chao Wang, Heng-Shu Zhu, Chen Zhu, Chuan Qin, Hui Xiong

AAAI Conference on Artificial Intelligence

DOI

2020

A Survey on Knowledge Graph-Based Recommender Systems

Qi Zhang, Le Zhang, Chuan Qin, Chao Wang, Heng-Shu Zhu, Hui Xiong, En-Hong Chen, Qingyu Guo, Fu-Zhen Zhuang

IEEE Transactions on Knowledge and Data Engineering

DOI

2020

Personalized Employee Training Course Recommendation with Career Development Awareness

Chao Wang, Heng-Shu Zhu, Chen Zhu, Xi Zhang, En-Hong Chen, Hui Xiong

The Web Conference

DOI

2019

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

Xiaoqing Huang, Qi Liu, Chao Wang, Hao-Yu Han, Jianhui Ma, En-Hong Chen, Yu Su, Shi-Jin Wang

Industrial Conference on Data Mining

DOI

2018

Multiple Pairwise Ranking with Implicit Feedback

Runlong Yu, Yunzhou Zhang, Yu-Yang Ye, Le Wu, Chao Wang, Qi Liu, En-Hong Chen

International Conference on Information and Knowledge Management

DOI

2018

Confidence-Aware Matrix Factorization for Recommender Systems

Chao Wang, Qi Liu, Runze Wu, Enhong Chen, Chuanren Liu, Xunpeng Huang, Zhenya Huang

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2013

国内外学术信息推荐方法研究进展

王超，王超吕俊生

《情报杂志》，Vol. 32, No. 9

下载原文

2011

基于改进用户兴趣点度量方式的推荐算法研究

刘建国，吴蓓蕾，王超，郭强

《情报学报》，Vol. 30, No. 11

下载原文

精选作品

期刊论文

GenDis: Generative-Discriminative Dual-View Co-Training for Generalized Category Discovery

Representation-Aware Modularity: Efficient Cross-Task Generalization for LLMs

CEDAR: Controlled and Event-Driven Demand Forecasting via Residual Decomposition

CoGen: A Two-Stage Unified Multi-modal Framework for Bundle Construction via Discrete Semantics Transfer

Rethinking Popularity Bias in Collaborative Filtering via Analytical Vector Decomposition

Enhancing Conversational Recommender Systems with Tree-Structured Knowledge and Pretrained Language Models

MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation

Graph-based Prompt Learning with Mixture of Experts for Multi-task Corporate Profiling

Can LLMs Enhance Fairness in Recommendation Systems? A Data Augmentation Approach

LLMCDSR: Enhancing Cross-Domain Sequential Recommendation with Large Language Models

FACE: A General Framework for Mapping Collaborative Filtering Embeddings into LLM Tokens

Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential Recommendation

大语言模型中的差分隐私保护研究

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

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

Graph Signal Diffusion Model for Collaborative Filtering

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

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

Preference or Intent? Double Disentangled Collaborative Filtering

Hybrid Heterogeneous Graph Neural Networks for Fund Performance Prediction

Interaction-aware Drug Package Recommendation via Policy Gradient

基于用户决策行为的个性化推荐方法及应用研究

Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness

A Trend-aware Investment Target Recommendation System with Heterogeneous Graph

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

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

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

Drug Package Recommendation via Interaction-aware Graph Induction

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

A Survey on Knowledge Graph-Based Recommender Systems

Personalized Employee Training Course Recommendation with Career Development Awareness

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

Multiple Pairwise Ranking with Implicit Feedback

Confidence-Aware Matrix Factorization for Recommender Systems

国内外学术信息推荐方法研究进展

基于改进用户兴趣点度量方式的推荐算法研究

预印本

Turning Semantics into Topology: LLM-Driven Attribute Augmentation for Collaborative Filtering

Enhancing LLM-based Recommendation with Preference Hint Discovery from Knowledge Graph

Improving Recommendation Fairness without Sensitive Attributes Using Multi-Persona LLMs

LLMs as Better Recommenders with Natural Language Collaborative Signals: A Self-Assessing Retrieval Approach

Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models

研究方向