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ORCIDCheng Wu 0004
Person information
- affiliation: School of Software, Tsinghua University, Beijing, China
Other persons with the same name
- Cheng Wu — disambiguation page
- Cheng Wu 0001
![[0000-0001-5451-3045]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-5451-3045")
— Soochow University, Suzhou, Jiangsu, China - Cheng Wu 0002 — Tsinghua University, Beijing, China
- Cheng Wu 0003 — Microsoft Corporation, USA
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2020 – today
- 2025
[j2]Hang Zhang, Chaokun Wang, Hongwei Li, Cheng Wu, Songyao Wang, Yabin Liu, Gengyuan Shi, Ziyang Liu:
PLForge: Enhancing Language Models for Natural Language to Procedural Extensions of SQL. Proc. ACM Manag. Data 3(6): 1-28 (2025)- [j1]Ziyang Liu, Chaokun Wang, Shuwen Zheng, Cheng Wu, Kai Zheng, Yang Song, Na Mou:
Pone-GNN: Integrating Positive and Negative Feedback in Graph Neural Networks for Recommender Systems. Trans. Recomm. Syst. 3(2): 25:1-25:23 (2025) - [c13]Cheng Wu, Liang Su, Chaokun Wang, Shaoyun Shi, Ziqian Zhang, Ziyang Liu, Wang Peng, Wenjin Wu, Peng Jiang:
Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion. AAAI 2025: 12845-12853 - [c12]Songyao Wang, Chaokun Wang, Fang Niu, Cheng Wu:
LSM-Community: A Graph Storage System Exploiting Community Structure in Social Networks. ICDE 2025: 3575-3588 - [c11]Ziqian Zhang, Chaokun Wang, Shuwen Zheng, Cheng Wu, Ziyang Liu, Hao Feng:
Effective and Scalable Heterogeneous Graph Neural Network Framework with Convolution-oriented Attention. ICDE 2025: 4011-4024 - [c10]Leqi Zheng, Chaokun Wang, Ziyang Liu, Canzhi Chen, Cheng Wu, Hongwei Li:
Balancing Self-Presentation and Self-Hiding for Exposure-Aware Recommendation Based on Graph Contrastive Learning. SIGIR 2025: 2027-2037 - 2024
- [c9]Shuwen Zheng, Chaokun Wang, Cheng Wu, Yunkai Lou, Hao Feng, Xuran Yang:
Temporal Graph Generation Featuring Time-Bound Communities. ICDE 2024: 2365-2378 - [c8]Ziyang Liu, Chaokun Wang, Liqun Yang, Yunkai Lou, Hao Feng, Cheng Wu, Kai Zheng, Yang Song:
Incorporating Dynamic Temperature Estimation into Contrastive Learning on Graphs. ICDE 2024: 2889-2903 - [c7]Ziyang Liu, Chaokun Wang, Cheng Wu:
Graph Contrastive Learning with Reinforcement Augmentation. IJCAI 2024: 2225-2233 - [c6]Cheng Wu, Shaoyun Shi, Chaokun Wang, Ziyang Liu, Wang Peng, Wenjin Wu, Dongying Kong, Han Li, Kun Gai:
Enhancing Recommendation Accuracy and Diversity with Box Embedding: A Universal Framework. WWW 2024: 3756-3766 - 2023
- [c5]Cheng Wu, Chaokun Wang, Jingcao Xu, Ziwei Fang, Tiankai Gu, Changping Wang, Yang Song, Kai Zheng, Xiaowei Wang, Guorui Zhou:
Instant Representation Learning for Recommendation over Large Dynamic Graphs. ICDE 2023: 82-95 - [c4]Cheng Wu, Chaokun Wang, Jingcao Xu, Ziyang Liu, Kai Zheng, Xiaowei Wang, Yang Song, Kun Gai:
Graph Contrastive Learning with Generative Adversarial Network. KDD 2023: 2721-2730 - [c3]Jingcao Xu, Chaokun Wang, Cheng Wu, Yang Song, Kai Zheng, Xiaowei Wang, Changping Wang, Guorui Zhou, Kun Gai:
Multi-behavior Self-supervised Learning for Recommendation. SIGIR 2023: 496-505 - [i5]Jingcao Xu, Chaokun Wang, Cheng Wu, Yang Song, Kai Zheng, Xiaowei Wang, Changping Wang, Guorui Zhou, Kun Gai:
Multi-behavior Self-supervised Learning for Recommendation. CoRR abs/2305.18238 (2023) - [i4]Cheng Wu, Chaokun Wang, Jingcao Xu, Ziwei Fang, Tiankai Gu, Changping Wang, Yang Song, Kai Zheng, Xiaowei Wang, Guorui Zhou:
Instant Representation Learning for Recommendation over Large Dynamic Graphs. CoRR abs/2305.18622 (2023) - [i3]Ziyang Liu, Chaokun Wang, Jingcao Xu, Cheng Wu, Kai Zheng, Yang Song, Na Mou, Kun Gai:
PANE-GNN: Unifying Positive and Negative Edges in Graph Neural Networks for Recommendation. CoRR abs/2306.04095 (2023) - [i2]Cheng Wu, Chaokun Wang, Jingcao Xu, Ziyang Liu, Kai Zheng, Xiaowei Wang, Yang Song, Kun Gai:
Graph Contrastive Learning with Generative Adversarial Network. CoRR abs/2308.00535 (2023) - 2022
- [c2]Tiankai Gu, Chaokun Wang, Cheng Wu, Yunkai Lou, Jingcao Xu, Changping Wang, Kai Xu, Can Ye, Yang Song:
HybridGNN: Learning Hybrid Representation for Recommendation in Multiplex Heterogeneous Networks. ICDE 2022: 1355-1367 - [i1]Tiankai Gu, Chaokun Wang, Cheng Wu, Jingcao Xu, Yunkai Lou, Changping Wang, Kai Xu, Can Ye, Yang Song:
HybridGNN: Learning Hybrid Representation in Multiplex Heterogeneous Networks. CoRR abs/2208.02068 (2022) - 2021
- [c1]Tiankai Gu, Chaokun Wang, Cheng Wu:
DiffGNN: Capturing Different Behaviors in Multiplex Heterogeneous Networks for Recommendation. CICAI 2021: 15-26
Coauthor Index
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