Cheng Wu - RankMe

22 papers A* 12Journal 8Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Training-Free and Unbiased Graph Collaborative Filtering for Personalized Recommendations. IEEE Trans. Knowl. Data Eng. Ziyang Liu, Chaokun Wang, Cheng Wu, Leqi Zheng, Hao Feng, Hang Zhang
2025	A*	`conf`	Balancing Self-Presentation and Self-Hiding for Exposure-Aware Recommendation Based on Graph Contrastive Learning. SIGIR Leqi Zheng, Chaokun Wang, Ziyang Liu, Canzhi Chen, Cheng Wu, Hongwei Li
2025	A*	`conf`	Effective and Scalable Heterogeneous Graph Neural Network Framework with Convolution-oriented Attention. ICDE Ziqian Zhang, Chaokun Wang, Shuwen Zheng, Cheng Wu, Ziyang Liu, Hao Feng
2025	—	`conf`	LAGCL4Rec: When LLMs Activate Interactions Potential in Graph Contrastive Learning for Recommendation. EMNLP (Findings) Leqi Zheng, Chaokun Wang, Canzhi Chen, Jiajun Zhang, Cheng Wu, Zixin Song, Shannan Yan, Ziyang Liu, Hongwei Li
2025	A*	`conf`	LSM-Community: A Graph Storage System Exploiting Community Structure in Social Networks. ICDE Songyao Wang, Chaokun Wang, Fang Niu, Cheng Wu
2025	A*	`conf`	Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion. AAAI Cheng Wu, Liang Su, Chaokun Wang, Shaoyun Shi, Ziqian Zhang, Ziyang Liu, Wang Peng, Wenjin Wu, Peng Jiang
2025	J	`jnl`	PLForge: Enhancing Language Models for Natural Language to Procedural Extensions of SQL. Proc. ACM Manag. Data Hang Zhang, Chaokun Wang, Hongwei Li, Cheng Wu, Songyao Wang, Yabin Liu, Gengyuan Shi, Ziyang Liu
2025	J	`jnl`	Pone-GNN: Integrating Positive and Negative Feedback in Graph Neural Networks for Recommender Systems. Trans. Recomm. Syst. Ziyang Liu, Chaokun Wang, Shuwen Zheng, Cheng Wu, Kai Zheng, Yang Song, Na Mou
2024	A*	`conf`	Enhancing Recommendation Accuracy and Diversity with Box Embedding: A Universal Framework. WWW Cheng Wu, Shaoyun Shi, Chaokun Wang, Ziyang Liu, Wang Peng, Wenjin Wu, Dongying Kong, Han Li, Kun Gai
2024	A*	`conf`	Graph Contrastive Learning with Reinforcement Augmentation. IJCAI Ziyang Liu, Chaokun Wang, Cheng Wu
2024	A*	`conf`	Incorporating Dynamic Temperature Estimation into Contrastive Learning on Graphs. ICDE Ziyang Liu, Chaokun Wang, Liqun Yang, Yunkai Lou, Hao Feng, Cheng Wu, Kai Zheng, Yang Song
2024	A*	`conf`	Temporal Graph Generation Featuring Time-Bound Communities. ICDE Shuwen Zheng, Chaokun Wang, Cheng Wu, Yunkai Lou, Hao Feng, Xuran Yang
2023	A*	`conf`	Graph Contrastive Learning with Generative Adversarial Network. KDD Cheng Wu, Chaokun Wang, Jingcao Xu, Ziyang Liu, Kai Zheng, Xiaowei Wang, Yang Song, Kun Gai
2023	J	`jnl`	Graph Contrastive Learning with Generative Adversarial Network. CoRR Cheng Wu, Chaokun Wang, Jingcao Xu, Ziyang Liu, Kai Zheng, Xiaowei Wang, Yang Song, Kun Gai
2023	A*	`conf`	Instant Representation Learning for Recommendation over Large Dynamic Graphs. ICDE Cheng Wu, Chaokun Wang, Jingcao Xu, Ziwei Fang, Tiankai Gu, Changping Wang, Yang Song, Kai Zheng, Xiaowei Wang, Guorui Zhou
2023	J	`jnl`	Instant Representation Learning for Recommendation over Large Dynamic Graphs. CoRR Cheng Wu, Chaokun Wang, Jingcao Xu, Ziwei Fang, Tiankai Gu, Changping Wang, Yang Song, Kai Zheng, Xiaowei Wang, Guorui Zhou
2023	A*	`conf`	Multi-behavior Self-supervised Learning for Recommendation. SIGIR Jingcao Xu, Chaokun Wang, Cheng Wu, Yang Song, Kai Zheng, Xiaowei Wang, Changping Wang, Guorui Zhou, Kun Gai
2023	J	`jnl`	Multi-behavior Self-supervised Learning for Recommendation. CoRR Jingcao Xu, Chaokun Wang, Cheng Wu, Yang Song, Kai Zheng, Xiaowei Wang, Changping Wang, Guorui Zhou, Kun Gai
2023	J	`jnl`	PANE-GNN: Unifying Positive and Negative Edges in Graph Neural Networks for Recommendation. CoRR Ziyang Liu, Chaokun Wang, Jingcao Xu, Cheng Wu, Kai Zheng, Yang Song, Na Mou, Kun Gai
2022	A*	`conf`	HybridGNN: Learning Hybrid Representation for Recommendation in Multiplex Heterogeneous Networks. ICDE Tiankai Gu, Chaokun Wang, Cheng Wu, Yunkai Lou, Jingcao Xu, Changping Wang, Kai Xu, Can Ye, Yang Song
2022	J	`jnl`	HybridGNN: Learning Hybrid Representation in Multiplex Heterogeneous Networks. CoRR Tiankai Gu, Chaokun Wang, Cheng Wu, Jingcao Xu, Yunkai Lou, Changping Wang, Kai Xu, Can Ye, Yang Song
2021	—	`conf`	DiffGNN: Capturing Different Behaviors in Multiplex Heterogeneous Networks for Recommendation. CICAI Tiankai Gu, Chaokun Wang, Cheng Wu