I am Cheng Yang, currently an associate professor from Beijing University of Posts and Telecommunications. Before that, I got B.S. and Ph.D. degrees from Tsinghua University at 2014 and 2019, respectively. My research interest includes graph neural networks, large language models, network embedding, recommender systems, etc. I have published more than 50 top journal and conference papers, and gained as shown by Google Scholar. I was named by Baidu as one of the Top 100 Chinese Young Scholars in Artificial Intelligence, and also supported by the Young Elite Scientist Sponsorship Program by CAST.

🔥 News

• 2024.12:  🎉🎉 3 papers are accepted by AAAI 2025.

🏫 Work Experience

• 2021.12 - Present, Associate Professor, School of Computer Sciences, Beijing University of Posts and Telecommunications, Beijing, China
• 2019.07 - 2021.12, Lecturer, School of Computer Sciences, Beijing University of Posts and Telecommunications, Beijing, China

📝 Publications

🔖 Selected Publications

• arxiv preprint GraphTeam: Facilitating Large Language Model-based Graph Analysis via Multi-Agent Collaboration Xin Li*, Qizhi Chu*, Yubin Chen*, Yang Liu, Yaoqi Liu, Zekai Yu, Weize Chen, Chen Qian, Chuan Shi, Cheng Yang^† .
  Demo: You can play it, enjoy yourself!

• arXiv preprint Towards Graph Foundation Models: A Survey and Beyond Jiawei Liu*, Cheng Yang*, Zhiyuan Lu, Junze Chen, Yibo Li, Mengmei Zhang, Ting Bai, Yuan Fang, Lichao Sun, Philip S. Yu, Chuan Shi .

• NeurIPS 2024 (ProGraph) Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models Xin Li*, Weize Chen*, Qizhi Chu, Haopeng Li, Zhaojun Sun, Ran Li, Chen Qian, Yiwei Wei, Zhiyuan Liu, Chuan Shi, Maosong Sun, Cheng Yang^† Models and Datasets .

• ICLR 2024 AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors Weize Chen*, Yusheng Su*, Jingwei Zuo, Cheng Yang^†, Chenfei Yuan, Chi-Min Chan, Heyang Yu, Yaxi Lu, Yi-Hsin Hung, Chen Qian, Yujia Qin, Xin Cong, Ruobing Xie, Zhiyuan Liu^†, Maosong Sun, Jie Zhou .

• WWW 2024 GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks Mengmei Zhang, Mingwei Sun, Peng Wang, Shen Fan, Yanhu Mo, Xiaoxiao Xu, Hong Liu, Cheng Yang^†, Chuan Shi^† .

• TBD 2024 Data-centric Graph Learning: A Survey Yuxin Guo*, Deyu Bo*, Cheng Yang^†, Zhiyuan Lu, Zhongjian Zhang, Jixi Liu,Yufei Peng, Chuan Shi^† .

• WWW 2021 (CPF) Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework Cheng Yang, Jiawei Liu, Chuan Shi^† .

• KDD 2020 (AGE) Adaptive Graph Encoder for Attributed Graph Embedding Ganqu Cui, Jie Zhou, Cheng Yang^†, Zhiyuan Liu^† .

• TOIS 2017 (JNTM) A Neural Network Approach to Jointly Modeling Social Networks and Mobile Trajectories Cheng Yang, Maosong Sun, Wayne Xin Zhao^†, Zhiyuan Liu^†, Edward Y.Chang .

• IJCAI 2015 (TADW) Network Representation Learning with Rich Text Information Cheng Yang, Zhiyuan Liu^†, Deli Zhao, Maosong Sun, Edward Y. Chang .

⌛️ 2025

• ICLR 2025 Internet of agents: Weaving a web of heterogeneous agents for collaborative intelligence Weize Chen, Ziming You, Ran Li, Yitong Guan, Chen Qian, Chenyang Zhao, Cheng Yang, Ruobing Xie, Zhiyuan Liu, Maosong Sun .

• ICLR 2025 Scaling Large-Language-Model-based Multi-Agent Collaboration Chen Qian, Zihao Xie, Yifei Wang, Wei Liu, Yufan Dang, Zhuoyun Du, Weize Chen, Cheng Yang, Zhiyuan Liu, Maosong Sun .

• KDD 2025 Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks? Zhongjian Zhang, Xiao Wang, Huichi Zhou, Yue Yu, Mengmei Zhang, Cheng Yang, Chuan Shi .

• NAACL 2025 Seq1F1B: Efficient sequence-level pipeline parallelism for large language model training Ao Sun, Weilin Zhao, Xu Han, Cheng Yang, Xinrong Zhang, Zhiyuan Liu, Chuan Shi, Maosong Sun .

⌛️ 2024

• ACL 2024 Chatdev: Communicative agents for software development Chen Qian, Wei Liu, Hongzhang Liu, Nuo Chen, Yufan Dang, Jiahao Li, Cheng Yang, Weize Chen, Yusheng Su, Xin Cong, Juyuan Xu, Dahai Li, Zhiyuan Liu, Maosong Sun .

• ACM Computing Surveys Tool learning with foundation models Yujia Qin, Shengding Hu, Yankai Lin, Weize Chen, Ning Ding, Ganqu Cui, Zheni Zeng, Yufei Huang, Chaojun Xiao, Chi Han, Yi Ren Fung, Yusheng Su, Huadong Wang, Cheng Qian, Runchu Tian, Kunlun Zhu, Shihao Liang, Xingyu Shen, Bokai Xu, Zhen Zhang, Yining Ye, Bowen Li, Ziwei Tang, Jing Yi, Yuzhang Zhu, Zhenning Dai, Lan Yan, Xin Cong, Yaxi Lu, Weilin Zhao, Yuxiang Huang, Junxi Yan, Xu Han, Xian Sun, Dahai Li, Jason Phang, Cheng Yang, Tongshuang Wu, Heng Ji, Zhiyuan Liu, Maosong Sun .

• WWW 2024 GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks Mengmei Zhang, Mingwei Sun, Peng Wang, Shen Fan, Yanhu Mo, Xiaoxiao Xu, Hong Liu, Cheng Yang, Chuan Shi .

• IEEE Transactions on Big Data Data-centric graph learning: A survey Yuxin Guo, Deyu Bo, Cheng Yang, Zhiyuan Lu, Zhongjian Zhang, Jixi Liu, Yufei Peng, Chuan Shi .

• AAAI 2024 Graph invariant learning with subgraph co-mixup for out-of-distribution generalization Tianrui Jia, Haoyang Li, Cheng Yang, Tao Tao, Chuan Shi .

• arXiv preprint Multi-Agent Software Development through Cross-Team Collaboration Zhuoyun Du, Chen Qian, Wei Liu, Zihao Xie, Yifei Wang, Yufan Dang, Weize Chen, Cheng Yang .

• AAAI 2024 FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization Cheng Yang, Jixi Liu, Yunhe Yan, Chuan Shi .

• arXiv preprint Iterative Experience Refinement of Software-Developing Agents Chen Qian, Jiahao Li, Yufan Dang, Wei Liu, YiFei Wang, Zihao Xie, Weize Chen, Cheng Yang, Yingli Zhang, Zhiyuan Liu, Maosong Sun .

• arXiv preprint Beyond Natural Language: LLMs Leveraging Alternative Formats for Enhanced Reasoning and Communication Weize Chen, Chenfei Yuan, Jiarui Yuan, Yusheng Su, Chen Qian, Cheng Yang, Ruobing Xie, Zhiyuan Liu, Maosong Sun .

• arXiv preprint Autonomous agents for collaborative task under information asymmetry Wei Liu, Chenxi Wang, Yifei Wang, Zihao Xie, Rennai Qiu, Yufan Dang, Zhuoyun Du, Weize Chen, Cheng Yang, Chen Qian .

• arXiv preprint BurstAttention: An Efficient Distributed Attention Framework for Extremely Long Sequences Ao Sun, Weilin Zhao, Xu Han, Cheng Yang, Zhiyuan Liu, Chuan Shi, Maosong Sun .

• WWW 2024 Endowing Pre-trained Graph Models with Provable Fairness Zhongjian Zhang, Mengmei Zhang, Yue Yu, Cheng Yang, Jiawei Liu, Chuan Shi .

• arXiv preprint Optima: Optimizing effectiveness and efficiency for llm-based multi-agent system Weize Chen, Jiarui Yuan, Chen Qian, Cheng Yang, Zhiyuan Liu, Maosong Sun .

• WWW 2024 Group-to-group recommendation with neural graph matching Chunchen Wang, Wei Wang, Cheng Yang, Chuan Shi, Ruobing Xie, Yuanfu Lu, Haili Yang, Xu Zhang .

• IJCAI 2024 Heterogeneous graph transformer with poly-tokenization Zhiyuan Lu, Yuan Fang, Cheng Yang, Chuan Shi .

• arXiv preprint Efficient Multi-task Prompt Tuning for Recommendation Ting Bai, Le Huang, Yue Yu, Cheng Yang, Cheng Hou, Zhe Zhao, Chuan Shi .

• KDD 2024 Advancing Molecule Invariant Representation via Privileged Substructure Identification Ruijia Wang, Haoran Dai, Cheng Yang, Le Song, Chuan Shi .

• ECML-PKDD 2024Adaptively Denoising Graph Neural Networks for Knowledge Distillation Yuxin Guo, Cheng Yang, Chuan Shi, Ke Tu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou .

• WWW 2024 Lecture-style Tutorial: Towards Graph Foundation Models Chuan Shi, Cheng Yang, Yuan Fang, Lichao Sun, Philip S Yu .

• WWW 2024 Calibrating Graph Neural Networks from a Data-centric Perspective Cheng Yang, Chengdong Yang, Chuan Shi, Yawen Li, Zhiqiang Zhang, Jun Zhou .

• AI Open 2024 Adaptive negative representations for graph contrastive learning Qi Zhang, Cheng Yang, Chuan Shi .

⌛️ 2023

• NIPS 2023 Injecting multimodal information into rigid protein docking via bi-level optimization Ruijia Wang, YiWu Sun, Yujie Luo, Shaochuan Li, Cheng Yang, Xingyi Cheng, Hui Li, Chuan Shi, Le Song .

• arXiv preprint ChatMol: interactive molecular discovery with natural language Zheni Zeng, Bangchen Yin, Shipeng Wang, Jiarui Liu, Cheng Yang, Haishen Yao, Xingzhi Sun, Maosong Sun, Guotong Xie, Zhiyuan Liu .

• ICLR 2024 Agentverse: Facilitating multi-agent collaboration and exploring emergent behaviors Weize Chen, Yusheng Su, Jingwei Zuo, Cheng Yang, Chenfei Yuan, Chi-Min Chan, Heyang Yu, Yaxi Lu, Yi-Hsin Hung, Chen Qian, Yujia Qin, Xin Cong, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou .

• arXiv preprint Towards graph foundation models: A survey and beyond Jiawei Liu, Cheng Yang, Zhiyuan Lu, Junze Chen, Yibo Li, Mengmei Zhang, Ting Bai, Yuan Fang, Lichao Sun, Philip S. Yu, Chuan Shi .

• AAAI 2023 Ma-gcl: Model augmentation tricks for graph contrastive learning Xumeng Gong, Cheng Yang, Chuan Shi .

• WSDM 2023 Knowledge-adaptive contrastive learning for recommendation Hao Wang, Yao Xu, Cheng Yang, Chuan Shi, Xin Li, Ning Guo, Zhiyuan Liu .

• ACL 2024 Experiential co-learning of software-developing agents Chen Qian, Yufan Dang, Jiahao Li, Wei Liu, Zihao Xie, Yifei Wang, Weize Chen, Cheng Yang, Xin Cong, Xiaoyin Che, Zhiyuan Liu, Maosong Sun .

• Conference NameA Data-centric Framework to Endow Graph Neural Networks with Out-Of-Distribution Detection Ability

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• Conference NameDistance Information Improves Heterogeneous Graph Neural Networks

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• Conference NameLearning to distill graph neural networks

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• Conference NameGraph mining for cybersecurity: A survey Bo Yan, Cheng Yang, Chuan Shi, Yong Fang, Qi Li, Yanfang Ye, Junping Du

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• Conference NameA Post-Training Framework for Improving Heterogeneous Graph Neural Networks Cheng Yang, Xumeng Gong, Chuan Shi, Philip S. Yu

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• Conference NameDatasets and Interfaces for Benchmarking Heterogeneous Graph Neural Networks

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• Conference NameMemory-enhanced period-aware graph neural network for general POI recommendation

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• Conference NameAdvances in Graph Neural Networks

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• Conference NameGammagl: A multi-backend library for graph neural networks

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• Conference NameAbnormal event detection via hypergraph contrastive learning Bo Yan, Cheng Yang, Chuan Shi, Jiawei Liu, Xiaochen Wang

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• Conference NameGraph Representation Learning

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⌛️ 2022

• Conference NameFew-shot link prediction in dynamic networks

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• Conference NameA survey on heterogeneous information network based recommender systems: Concepts, methods, applications and resources

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• Conference NameSpace4hgnn: a novel, modularized and reproducible platform to evaluate heterogeneous graph neural network Tianyu Zhao, Cheng Yang, Yibo Li, Quan Gan, Zhenyi Wang, Fengqi Liang, Huan Zhao, Yingxia Shao, Xiao Wang, Chuan Shi

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• Conference NameOpenhgnn: an open source toolkit for heterogeneous graph neural network

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• Conference NameCo-clustering interactions via attentive hypergraph neural network

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• Conference NameMidtd: A simple and effective distillation framework for distantly supervised relation extraction

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• Conference NameNetwork embedding: Theories, methods, and applications

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• Conference NamePayment behavior prediction on shared parking lots with TR-GCN

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• Conference NameA dual-expert framework for event argument extraction

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• Conference NameGated Hypergraph Neural Network for Scene-Aware Recommendation

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• Conference NameHypergraph Clustering Network for Interaction Data.

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• Conference NameFuture Direction and Conclusion

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⌛️ 2021

• Conference NameExtract the knowledge of graph neural networks and go beyond it: An effective knowledge distillation framework Cheng Yang, Jiawei Liu, Chuan Shi

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• Conference NameFull-Scale Information Diffusion Prediction With Reinforced Recurrent Networks

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• Conference NameBe confident! towards trustworthy graph neural networks via confidence calibration Xiao Wang, Hongrui Liu, Chuan Shi, Cheng Yang

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• Conference NameTopic-aware heterogeneous graph neural network for link prediction

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• Conference NamePeriodic weather-aware LSTM with event mechanism for parking behavior prediction

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• Conference NameFrom symbols to embeddings: A tale of two representations in computational social science Huimin Chen, Cheng Yang, Xuanming Zhang, Zhiyuan Liu, Maosong Sun, Jianbin Jin

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• Conference NameText-graph enhanced knowledge graph representation learning

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• Conference NameNeural information diffusion prediction with topic-aware attention network

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• Conference NamePackage recommendation with intra-and inter-package attention networks

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• Conference NameTreasures outside contexts: Improving event detection via global statistics

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• Conference Name基于异质信息网络的推荐系统研究综述

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• Conference NameEvaluating modules in graph contrastive learning Ganqu Cui, Yufeng Du, Cheng Yang, Jie Zhou, Liang Xu, Xing Zhou, Xingyi Cheng, Zhiyuan Liu

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• Conference NameSemantic-specific hierarchical alignment network for heterogeneous graph adaptation

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• Conference NameTree-Capsule: Tree-Structured Capsule Network for Improving Relation Extraction

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• Conference NameThe Basics of Network Embedding

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• Conference NameNetwork embedding for community-structured graphs

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• Conference NameNetwork Embedding for Graphs with Node Contents

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• Conference NameNetwork Embedding for Large-Scale Graphs

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• Conference NameNetwork Embedding for Information Diffusion Prediction

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• Conference NameNetwork Embedding for Heterogeneous Graphs

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• Conference NameNetwork Embedding for Social Relation Extraction

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• Conference NameRevisiting Attributed Network Embedding: A GCN-Based Perspective

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• Conference NameNetwork Embedding for Recommendation Systems on LBSNs

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• Conference NameNetwork Embedding for Graphs with Node Labels

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• Conference NameNetwork Embedding for Graphs with Node Attributes

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• Conference NameNetwork Embedding for General Graphs

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• Conference NameFuture Directions of Network Embedding

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⌛️ 2020

• Conference NameGraph neural networks: A review of methods and applications Jie Zhou, Ganqu Cui, Shengding Hu, Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li, Maosong Sun

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• Conference NameAdaptive graph encoder for attributed graph embedding Ganqu Cui, Jie Zhou, Cheng Yang, Zhiyuan Liu

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• Conference NameGraph neural news recommendation with long-term and short-term interest modeling Linmei Hu, Chen Li, Chuan Shi, Cheng Yang, Chao Shao

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• Conference NameGraph neural news recommendation with unsupervised preference disentanglement

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• Conference NameMixpoet: Diverse poetry generation via learning controllable mixed latent space Xiaoyuan Yi, Ruoyu Li, Cheng Yang, Wenhao Li, Maosong Sun

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• Conference NamePewLSTM: Periodic LSTM with Weather-Aware Gating Mechanism for Parking Behavior Prediction.

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• Conference NameImproving sequence modeling ability of recurrent neural networks via sememes Yujia Qin, Fanchao Qi, Sicong Ouyang, Zhiyuan Liu, Cheng Yang, Yasheng Wang, Qun Liu, Maosong Sun

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• Conference NameCosine: compressive network embedding on large-scale information networks Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Maosong Sun, Zhichong Fang, Bo Zhang, Leyu Lin

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• Conference NameKACC: A multi-task benchmark for knowledge abstraction, concretization and completion Jie Zhou, Shengding Hu, Xin Lv, Cheng Yang, Zhiyuan Liu, Wei Xu, Jie Jiang, Juanzi Li, Maosong Sun

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• Conference NameInformation diffusion prediction with latent factor disentanglement Haoran Wang, Cheng Yang

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• Conference NameReinforced zero-shot cross-lingual neural headline generation

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⌛️ 2019

• Conference NameGEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification Jie Zhou, Xu Han, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li, Maosong Sun

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• Conference NameCED: Credible early detection of social media rumors Changhe Song, Cunchao Tu, Cheng Yang, Zhiyuan Liu, Maosong Sun

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• Conference NameNeural diffusion model for microscopic cascade study

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• Conference NameSentiment-Controllable Chinese Poetry Generation.

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• Conference NameImproving distantly-supervised relation extraction with joint label embedding

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• Conference NameJiuge: A human-machine collaborative chinese classical poetry generation system

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⌛️ 2018

• Conference NameStylistic chinese poetry generation via unsupervised style disentanglement

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• Conference NameZero-shot cross-lingual neural headline generation

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• Conference NameChinese LIWC lexicon expansion via hierarchical classification of word embeddings with sememe attention

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• Conference Name基于神经网络的集句诗自动生成

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⌛️ 2017

• Conference NameA neural network approach to jointly modeling social networks and mobile trajectories

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• Conference NameFast network embedding enhancement via high order proximity approximation.

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• Conference Name网络表示学习综述

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⌛️ 2016

• Conference NameReal-time topic-aware influence maximization using preprocessing Wei Chen, Tian Lin, Cheng Yang

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⌛️ 2015

• Conference NameNetwork representation learning with rich text information

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• Conference NameComprehend deepwalk as matrix factorization Cheng Yang, Zhiyuan Liu

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🎖 Honors and Awards

• 2024 World’s Top 2% Scientists by Stanford/Elsevier.
• 2023 Young Elite Scientist Sponsorship Program by CAST
• 2022 Top 100 Chinese Young Scholars in Artificial Intelligence (Baidu)
• 2022 World Internet Conference Awards for Pioneering Science and Technology. Systematized Basic Algorithms and Open-Source Tools for Representation Learning of Large Scale Knowledge Graph (ranking 4th)
• 2020 First Prize of the State Natural Science Award, and the Outstanding Achievement Awards for Scientific Research in Institutes of Higher Education (Science and Technology) by the Ministry of Education. A Representation Learning Method for Structured Knowledge (ranking 4th)
• 2020 Outstanding Doctoral Dissertation Award (Chinese Information Processing Society of China)
• 2019 Hotspot Paper Award of SCIENTIA SINICA Informationis (Network representation learning: an overview)
• 2019 Outstanding Graduate Award (Department of Computer Science and Technology, Tsinghua University)

📖 Educations

• 2014.08 - 2019.07, Ph.D, Department of Computer Science and Technology, Tsinghua University, supervised by Prof. Maosong Sun.

• 2010.08 - 2014.07, B.S, Institute for Interdisciplinary Information Sciences (Computer Science Pilot Class), Tsinghua University.

💬 Invited Talks

• WWW24 Tutorial Towards Graph Foundation Models Part I Part II Part III.
• Collaboration Framework of LLM-based Agents PDF
• Trustworthy Learning of Graph Neural Networks PDF
• IJCAI 2024 LKM workshop Towards Graph Foundation Models PDF