Chao Wang - RankMe

61 papers A* 23A 1B 2Journal 29Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Enhancing Conversational Recommender Systems with Tree-Structured Knowledge and Pretrained Language Models. AAAI Yongwen Ren, Chao Wang, Peng Du, Chuan Qin, Dazhong Shen, Hui Xiong
2026	J	`jnl`	Enhancing LLM-based Recommendation with Preference Hint Discovery from Knowledge Graph. CoRR Yuting Zhang, Ziliang Pei, Chao Wang, Ying Sun, Fuzhen Zhuang
2026	A*	`conf`	MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation. WWW Ranxu Zhang, Junjie Meng, Ying Sun, Ziqi Xu, Bing Yin, Hao Li, Yanyong Zhang, Chao Wang
2026	J	`jnl`	MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation. CoRR Ranxu Zhang, Junjie Meng, Ying Sun, Ziqi Xu, Bing Yin, Hao Li, Yanyong Zhang, Chao Wang
2026	J	`jnl`	MobilityBench: A Benchmark for Evaluating Route-Planning Agents in Real-World Mobility Scenarios. CoRR Zhiheng Song, Jingshuai Zhang, Chuan Qin, Chao Wang, Chao Chen, Longfei Xu, Kaikui Liu, Xiangxiang Chu, Hengshu Zhu
2026	—	`conf`	Rethinking Popularity Bias in Collaborative Filtering via Analytical Vector Decomposition. KDD (1) Lingfeng Liu, Yixin Song, Dazhong Shen, Bing Yin, Hao Li, Yanyong Zhang, Chao Wang
2026	J	`jnl`	Turning Semantics into Topology: LLM-Driven Attribute Augmentation for Collaborative Filtering. CoRR Junjie Meng, Ranxu Zhang, Wei Wu, Rui Zhang, Chuan Qin, Qi Zhang, Qi Liu, Hui Xiong, Chao Wang
2026	J	`jnl`	VERDICT: Verifiable Evolving Reasoning with Directive-Informed Collegial Teams for Legal Judgment Prediction. CoRR Hui Liao, Chuan Qin, Yongwen Ren, Hao Li, Zhenya Huang, Yanyong Zhang, Chao Wang
2025	J	`jnl`	Boosting Knowledge Graph-based Recommendations through Confidence-Aware Augmentation with Large Language Models. CoRR Rui Cai, Chao Wang, Qianyi Cai, Dazhong Shen, Hui Xiong
2025	A*	`conf`	Can LLMs Enhance Fairness in Recommendation Systems? A Data Augmentation Approach. SIGIR Hanzhe Li, Dazhong Shen, Chao Wang, Yuting Liu, Jingjing Gu
2025	—	`conf`	Dynamic Graph-Based Semi-supervised Anomaly Detection for In-Vehicle CAN Bus Network. WASA (2) Chao Wang, Qiuyu Zhang, Yunhua He, Ke Xiao
2025	J	`jnl`	Enhancing Conversational Recommender Systems with Tree-Structured Knowledge and Pretrained Language Models. CoRR Yongwen Ren, Chao Wang, Peng Du, Chuan Qin, Dazhong Shen, Hui Xiong
2025	J	`jnl`	FACE: A General Framework for Mapping Collaborative Filtering Embeddings into LLM Tokens. CoRR Chao Wang, Yixin Song, Jinhui Ye, Chuan Qin, Dazhong Shen, Lingfeng Liu, Xiang Wang, Yanyong Zhang
2025	A*	`conf`	Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential Recommendation. WWW Shengzhe Zhang, Liyi Chen, Dazhong Shen, Chao Wang, Hui Xiong
2025	J	`jnl`	Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential Recommendation. CoRR Shengzhe Zhang, Liyi Chen, Dazhong Shen, Chao Wang, Hui Xiong
2025	—	`conf`	Killing Two Birds with One Stone: A Spatio-temporal Prompt for the Inductive Traffic Extrapolation. DASFAA (2) Leilei Ding, Zhipeng Tang, Le Zhang, Dazhong Shen, Chao Wang, Ziyang Tao, Jingbo Zhou, Yanyong Zhang, Hui Xiong
2025	J	`jnl`	LLMCDSR: Enhancing Cross-Domain Sequential Recommendation with Large Language Models. ACM Trans. Inf. Syst. Haoran Xin, Ying Sun, Chao Wang, Hui Xiong
2025	J	`jnl`	Rethinking Popularity Bias in Collaborative Filtering via Analytical Vector Decomposition. CoRR Lingfeng Liu, Yixin Song, Dazhong Shen, Bing Yin, Yunhao Liu, Yanyong Zhang, Chao Wang
2025	—	`conf`	Structure-Enhanced Protein Instruction Tuning: Towards General-Purpose Protein Understanding with LLMs. KDD (2) Wei Wu, Chao Wang, Liyi Chen, Mingze Yin, Yiheng Zhu, Kun Fu, Jieping Ye, Hui Xiong, Zheng Wang
2025	A*	`conf`	TokenSelect: Efficient Long-Context Inference and Length Extrapolation for LLMs via Dynamic Token-Level KV Cache Selection. EMNLP Wei Wu, Zhuoshi Pan, Kun Fu, Chao Wang, Liyi Chen, Yunchu Bai, Tianfu Wang, Zheng Wang, Hui Xiong
2024	A*	`conf`	AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations. SIGIR Wei Wu, Chao Wang, Dazhong Shen, Chuan Qin, Liyi Chen, Hui Xiong
2024	J	`jnl`	AFDGCF: Adaptive Feature De-correlation Graph Collaborative Filtering for Recommendations. CoRR Wei Wu, Chao Wang, Dazhong Shen, Chuan Qin, Liyi Chen, Hui Xiong
2024	A*	`conf`	COMET: NFT Price Prediction with Wallet Profiling. KDD Tianfu Wang, Liwei Deng, Chao Wang, Jianxun Lian, Yue Yan, Nicholas Jing Yuan, Qi Zhang, Hui Xiong
2024	J	`jnl`	COMET: NFT Price Prediction with Wallet Profiling. CoRR Tianfu Wang, Liwei Deng, Chao Wang, Jianxun Lian, Yue Yan, Nicholas Jing Yuan, Qi Zhang, Hui Xiong
2024	A*	`conf`	DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives. IJCAI Leilei Ding, Dazhong Shen, Chao Wang, Tianfu Wang, Le Zhang, Yanyong Zhang
2024	J	`jnl`	DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives. CoRR Leilei Ding, Dazhong Shen, Chao Wang, Tianfu Wang, Le Zhang, Hui Xiong, Yanyong Zhang
2024	A*	`conf`	FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation. IJCAI Tianfu Wang, Qilin Fan, Chao Wang, Long Yang, Leilei Ding, Nicholas Jing Yuan, Hui Xiong
2024	J	`jnl`	FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation. CoRR Tianfu Wang, Qilin Fan, Chao Wang, Long Yang, Leilei Ding, Nicholas Jing Yuan, Hui Xiong
2024	A*	`conf`	Graph Signal Diffusion Model for Collaborative Filtering. SIGIR Yunqin Zhu, Chao Wang, Qi Zhang, Hui Xiong
2024	A*	`conf`	Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking. NeurIPS Xi Chen, Chuan Qin, Chuyu Fang, Chao Wang, Chen Zhu, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong
2024	J	`jnl`	Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking. CoRR Xi Chen, Chuan Qin, Chuyu Fang, Chao Wang, Chen Zhu, Fuzhen Zhuang, Hengshu Zhu, Hui Xiong
2024	A*	`conf`	Pre-DyGAE: Pre-training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting. IJCAI Xi Chen, Chuan Qin, Zhigaoyuan Wang, Yihang Cheng, Chao Wang, Hengshu Zhu, Hui Xiong
2024	J	`jnl`	SetRank: A Setwise Bayesian Approach for Collaborative Ranking in Recommender System. ACM Trans. Inf. Syst. Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Enhong Chen, Hui Xiong
2024	J	`jnl`	Structure-Enhanced Protein Instruction Tuning: Towards General-Purpose Protein Understanding. CoRR Wei Wu, Chao Wang, Liyi Chen, Mingze Yin, Yiheng Zhu, Kun Fu, Jieping Ye, Hui Xiong, Zheng Wang
2024	—	`conf`	Super-Node Generation for GNN-Based Recommender Systems: Enhancing Distant Node Integration via Graph Coarsening. DASFAA (6) Shasha Hu, Chao Wang, Chuan Qin, Hengshu Zhu, Hui Xiong
2024	A*	`conf`	Temporal Graph Contrastive Learning for Sequential Recommendation. AAAI Shengzhe Zhang, Liyi Chen, Chao Wang, Shuangli Li, Hui Xiong
2024	J	`jnl`	TokenSelect: Efficient Long-Context Inference and Length Extrapolation for LLMs via Dynamic Token-Level KV Cache Selection. CoRR Wei Wu, Zhuoshi Pan, Chao Wang, Liyi Chen, Yunchu Bai, Kun Fu, Zheng Wang, Hui Xiong
2024	J	`jnl`	Towards Constraint-aware Learning for Resource Allocation in NFV-enabled Networks. CoRR Tianfu Wang, Long Yang, Chao Wang, Chuan Qin, Liwei Deng, Li Shen, Hui Xiong
2024	J	`jnl`	Traffic anomaly detection algorithm for CAN bus using similarity analysis. High Confid. Comput. Chao Wang, Xueqiao Xu, Ke Xiao, Yunhua He, Guangcan Yang
2024	A*	`conf`	Unleashing the Power of Knowledge Graph for Recommendation via Invariant Learning. WWW Shuyao Wang, Yongduo Sui, Chao Wang, Hui Xiong
2023	—	`conf`	Hybrid Heterogeneous Graph Neural Networks for Fund Performance Prediction. KSEM (2) Siyuan Hao, Le Dai, Le Zhang, Shengming Zhang, Chao Wang, Chuan Qin, Hui Xiong
2023	J	`jnl`	Interaction-aware Drug Package Recommendation via Policy Gradient. ACM Trans. Inf. Syst. Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Xiangyu Zhao, Baoxing Huai, Xian Wu, Enhong Chen
2023	J	`jnl`	Preference or Intent? Double Disentangled Collaborative Filtering. CoRR Chao Wang, Hengshu Zhu, Dazhong Shen, Wei Wu, Hui Xiong
2023	J	`jnl`	Towards Graph-Aware Diffusion Modeling for Collaborative Filtering. CoRR Yunqin Zhu, Chao Wang, Hui Xiong
2022	J	`jnl`	Personalized and Explainable Employee Training Course Recommendations: A Bayesian Variational Approach. ACM Trans. Inf. Syst. Chao Wang, Hengshu Zhu, Peng Wang, Chen Zhu, Xi Zhang, Enhong Chen, Hui Xiong
2021	B	`conf`	A Trend-aware Investment Target Recommendation System with Heterogeneous Graph. IJCNN Miao Chen, Chao Wang, Chuan Qin, Tong Xu, Jianhui Ma, Enhong Chen, Hui Xiong
2021	A*	`conf`	Drug Package Recommendation via Interaction-aware Graph Induction. WWW Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Baoxing Huai, Tongzhu Liu, Enhong Chen
2021	J	`jnl`	Drug Package Recommendation via Interaction-aware Graph Induction. CoRR Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Baoxing Huai, Tongzhu Liu, Enhong Chen
2021	A*	`conf`	Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness. IJCAI Dazhong Shen, Chuan Qin, Chao Wang, Hengshu Zhu, Enhong Chen, Hui Xiong
2021	J	`jnl`	Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness. CoRR Dazhong Shen, Chuan Qin, Chao Wang, Hengshu Zhu, Enhong Chen, Hui Xiong
2021	A*	`conf`	Topic Modeling Revisited: A Document Graph-based Neural Network Perspective. NeurIPS Dazhong Shen, Chuan Qin, Chao Wang, Zheng Dong, Hengshu Zhu, Hui Xiong
2021	A*	`conf`	Variable Interval Time Sequence Modeling for Career Trajectory Prediction: Deep Collaborative Perspective. WWW Chao Wang, Hengshu Zhu, Qiming Hao, Keli Xiao, Hui Xiong
2020	A*	`conf`	Personalized Employee Training Course Recommendation with Career Development Awareness. WWW Chao Wang, Hengshu Zhu, Chen Zhu, Xi Zhang, Enhong Chen, Hui Xiong
2020	A*	`conf`	SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback. AAAI Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Hui Xiong
2020	J	`jnl`	SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback. CoRR Chao Wang, Hengshu Zhu, Chen Zhu, Chuan Qin, Hui Xiong
2019	A*	`conf`	Constructing Educational Concept Maps with Multiple Relationships from Multi-Source Data. ICDM Xiaoqing Huang, Qi Liu, Chao Wang, Haoyu Han, Jianhui Ma, Enhong Chen, Yu Su, Shijin Wang
2019	A*	`conf`	Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective. AAAI Chengqiang Lu, Qi Liu, Chao Wang, Zhenya Huang, Peize Lin, Lixin He
2019	J	`jnl`	Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective. CoRR Chengqiang Lu, Qi Liu, Chao Wang, Zhenya Huang, Peize Lin, Lixin He
2018	A*	`conf`	Confidence-Aware Matrix Factorization for Recommender Systems. AAAI Chao Wang, Qi Liu, Runze Wu, Enhong Chen, Chuanren Liu, Xunpeng Huang, Zhenya Huang
2018	A	`conf`	Multiple Pairwise Ranking with Implicit Feedback. CIKM Runlong Yu, Yunzhou Zhang, Yuyang Ye, Le Wu, Chao Wang, Qi Liu, Enhong Chen
2011	B	`conf`	Link quality aware code dissemination in wireless sensor networks. ICNP Wei Dong, Yunhao Liu, Chao Wang, Xue Liu, Chun Chen, Jiajun Bu