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!

• TPAMI 2025 Graph foundation models: Concepts opportunities and challenges 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

• arxiv preprint Pathrag: Pruning graph-based retrieval augmented generation with relational paths Boyu Chen, Zirui Guo, Zidan Yang, Yuluo Chen, Junze Chen, Zhenghao Liu, Chuan Shi, Cheng Yang

• arxiv preprint Multi-Agent Collaboration via Evolving Orchestration Yufan Dang, Chen Qian, Xueheng Luo, Jingru Fan, Zihao Xie, Ruijie Shi, Weize Chen, Cheng Yang, Xiaoyin Che, Ye Tian, Xuantang Xiong, Lei Han, Zhiyuan Liu, Maosong Sun

• AAAI Federated graph condensation with information bottleneck principles Bo Yan, Sihao He, Cheng Yang, Shang Liu, Yang Cao, Chuan Shi

• arxiv preprint Graph Foundation Models for Recommendation: A Comprehensive Survey Bin Wu, Yihang Wang, Yuanhao Zeng, Jiawei Liu, Jiashu Zhao, Cheng Yang, Yawen Li, Long Xia, Dawei Yin, Chuan Shi

• KDD 2025 Flag: Fraud detection with llm-enhanced graph neural network Chengdong Yang, Hongrui Liu, Daixin Wang, Zhiqiang Zhang, Cheng Yang, Chuan Shi

• Information Processing & Management Invariant debiasing learning for recommendation via biased imputation Ting Bai, Weijie Chen, Cheng Yang, Chuan Shi

• ACM TOIS 2025 Efficient multi-task prompt tuning for recommendation Ting Bai, Le Huang, Yue Yu, Cheng Yang, Cheng Hou, Zhe Zhao, Chuan Shi

• ACL Findings 2025 Multi-agent collaboration via cross-team orchestration Zhuoyun Du, Chen Qian, Wei Liu, Zihao Xie, YiFei Wang, Rennai Qiu, Yufan Dang, Weize Chen, Cheng Yang, Ye Tian, Xuantang Xiong, Lei Han

• AAAI 2025 Harnessing Language Model for Cross-Heterogeneity Graph Knowledge Transfer Jinyu Yang, Ruijia Wang, Cheng Yang, Bo Yan, Qimin Zhou, Juan Yang, Chuan Shi

• KDD 2025 Benchmarking Graph Foundation Models Jinyu Yang, Liangwei Yang, Zeyuan Guo, Jiayi Gao, Jing Wu, Tianhao Chai, Hai Huang, Cheng Yang, Chuan Shi

• arxiv preprint Cross-Task Experiential Learning on LLM-based Multi-Agent Collaboration Yilong Li, Chen Qian, Yu Xia, Ruijie Shi, Yufan Dang, Zihao Xie, Ziming You, Weize Chen, Cheng Yang, Weichuan Liu, Ye Tian, Xuantang Xiong, Lei Han, Zhiyuan Liu, Maosong Sun

• arxiv preprint Co-Saving: Resource Aware Multi-Agent Collaboration for Software Development Rennai Qiu, Chen Qian, Ran Li, Yufan Dang, Weize Chen, Cheng Yang, Yingli Zhang, Ye Tian, Xuantang Xiong, Lei Han, Zhiyuan Liu, Maosong Sun

• KDD 2025 GraphLAMA: Enabling Efficient Adaptation of Graph Language Models with Limited Annotations Junze Chen, Cheng Yang, Shujie Li, Zhiqiang Zhang, Yawen Li, Junping Du, Chuan Shi

• SIGIR 2025 CORONA: A Coarse-to-Fine Framework for Graph-based Recommendation with Large Language Models Junze Chen, Xinjie Yang, Cheng Yang, Junfei Bao, Zeyuan Guo, Yawen Li, Chuan Shi

• arxiv preprint Masked Language Models are Good Heterogeneous Graph Generalizers Jinyu Yang, Cheng Yang, Shanyuan Cui, Zeyuan Guo, Liangwei Yang, Muhan Zhang, Zhiqiang Zhang, Chuan Shi

• AAAI 2025 Blend the Separated: Mixture of Synergistic Experts for Data-Scarcity Drug-Target Interaction Prediction Xinlong Zhai, Chunchen Wang, Ruijia Wang, Jiazheng Kang, Shujie Li, Boyu Chen, Tengfei Ma, Zikai Zhou, Cheng Yang, Chuan Shi

⌛️ 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 .

• TPAMI 2025 Graph foundation models: Concepts opportunities and challenges 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

• KDD 2023 A Data-centric Framework to Endow Graph Neural Networks with Out-Of-Distribution Detection Ability Yuxin Guo, Cheng Yang, Yuluo Chen, Jixi Liu, Chuan Shi, Junping Du

• TKDE 2023 Distance Information Improves Heterogeneous Graph Neural Networks Chuan Shi, Houye Ji, Zhiyuan Lu, Ye Tang, Pan Li, Cheng Yang

• WSDM 2023 Learning to distill graph neural networks Cheng Yang, Yuxin Guo, Yao Xu, Chuan Shi, Jiawei Liu, Chunchen Wang, Xin Li, Ning Guo, Hongzhi Yin

• TKDD 2023 Graph mining for cybersecurity: A survey Bo Yan, Cheng Yang, Chuan Shi, Yong Fang, Qi Li, Yanfang Ye, Junping Du

• WWW 2023 A Post-Training Framework for Improving Heterogeneous Graph Neural Networks Cheng Yang, Xumeng Gong, Chuan Shi, Philip S. Yu

• CIKM 2023 Datasets and Interfaces for Benchmarking Heterogeneous Graph Neural Networks Yijian Liu, Hongyi Zhang, Cheng Yang, Ao Li, Yugang Ji, Luhao Zhang, Tao Li, Jinyu Yang, Tianyu Zhao, Juan Yang, Hai Huang, Chuan Shi

• DASFAA 2023 Memory-enhanced period-aware graph neural network for general POI recommendation Tianchi Yang, Haihan Gao, Cheng Yang, Chuan Shi, Qianlong Xie, Xingxing Wang, Dong Wang

• SpringerAdvances in Graph Neural Networks Chuan Shi, Xiao Wang, Cheng Yang

• SIGIR 2023 Gammagl: A multi-backend library for graph neural networks

• SDM 2023 Abnormal event detection via hypergraph contrastive learning Bo Yan, Cheng Yang, Chuan Shi, Jiawei Liu, Xiaochen Wang

• FCS 2021 Graph Representation Learning Linmei Hu, Mengmei Zhang, Shaohua Li, Jinghan Shi, Chuan Shi, Cheng Yang and Zhiyuan Liu

⌛️ 2022

• WSDM 2022Few-shot link prediction in dynamic networks Cheng Yang, Chunchen Wang, Yuanfu Lu, Xumeng Gong,Chuan Shi, Wei Wang, Xu Zhang

• AI Open 2022 A survey on heterogeneous information network based recommender systems: Concepts, methods, applications and resources Jiawei Liu, Chuan Shi, Cheng Yang, Zhiyuan Lu, Philip S.Yu

• SIGIR 2022Space4hgnn: 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

• CIKM 2022 Openhgnn: an open source toolkit for heterogeneous graph neural network Hui Han, Tianyu Zhao, Cheng Yang, Hongyi Zhang, Yaoqi Liu, Xiao Wang, Chuan Shi

• SIGIR 2022 Co-clustering interactions via attentive hypergraph neural network Tianchi Yang, Cheng Yang, Luhao Zhang, Chuan Shi, Maodi Hu, Huaijun Liu, Tao Li, Dong Wang

• ACM TOIS 2022 Midtd: A simple and effective distillation framework for distantly supervised relation extraction Rui Li, Cheng Yang, Tingwei Li, Sen Su

• Morgan & Claypool Publishers Network embedding: Theories, methods, and applications Cheng Yang，Zhiyuan Liu，Cunchao Tu，Chuan Shi，Maosong Sun

• VLDB 2022 Payment behavior prediction on shared parking lots with TR-GCN Qingyu Xu, Feng Zhang, Mingde Zhang, Jidong Zhai, Bingsheng He, Cheng Yang, Shuhao Zhang, Jiazao Lin, Haidi Liu, Xiaoyong Du

• SIGIR 2022 A dual-expert framework for event argument extraction Rui Li, Wenlin Zhao, Cheng Yang, Sen Su

• DASFAA 2022 Gated Hypergraph Neural Network for Scene-Aware Recommendation Tianchi Yang, Luhao Zhang, Chuan Shi, Cheng Yang, Siyong Xu, Ruiyu Fang, Maodi Hu, Huaijun Liu, Tao Li, Dong Wang

• IEEE Computer Society Technical Committee on Data Engineering 2022 Hypergraph Clustering Network for Interaction Data Tianchi Yang, Luhao Zhang, Cheng Yang, Chuan Shi, Maodi Hu, Tao Li, Dong Wang

• Advances in Graph Neural Networks (Book) Future Direction and Conclusion Chuan Shi, Xiao Wang, Cheng Yang

⌛️ 2021

• WWW 2021 Extract the knowledge of graph neural networks and go beyond it: An effective knowledge distillation framework Cheng Yang, Jiawei Liu, Chuan Shi

• IEEE TNNLS 2022 Full-Scale Information Diffusion Prediction With Reinforced Recurrent Networks Cheng Yang, Hao Wang, Jian Tang, Chuan Shi, Maosong Sun, Ganqu Cui

• NeurIPS 2021 Be confident! towards trustworthy graph neural networks via confidence calibration Xiao Wang, Hongrui Liu, Chuan Shi, Cheng Yang

• CIKM 2021 Topic-aware heterogeneous graph neural network for link prediction Siyong Xu, Cheng Yang, Chuan Shi, Yuan Fang, Yuxin Guo, Tianchi Yang, Luhao Zhang, Maodi Hu

• IEEE TKDE 2021 Periodic weather-aware LSTM with event mechanism for parking behavior prediction Feng Zhang, Yani Liu, Ningxuan Feng, Cheng Yang, Jidong Zhai, Shuhao Zhang

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

• FCS 2021 Text-graph enhanced knowledge graph representation learning Linmei Hu, Mengmei Zhang, Shaohua Li, Jinghan Shi, Chuan Shi, Cheng Yang and Zhiyuan Liu

• CIKM 2021 Neural information diffusion prediction with topic-aware attention network Hao Wang, Cheng Yang, Chuan Shi

• SIGIR 2021 Package recommendation with intra-and inter-package attention networks Chen Li, Yuanfu Lu, Wei Wang, Chuan Shi, Ruobing Xie, Haili Yang, Cheng Yang, Xu Zhang, Leyu Lin

• EMNLP 2021 Treasures outside contexts: Improving event detection via global statistics Rui Li, Wenlin Zhao, Cheng Yang, Sen Su

• 信息安全学报基于异质信息网络的推荐系统研究综述 刘佳玮 , 石川, 杨成, 菲利普·俞

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

• ECML 2021Semantic-specific hierarchical alignment network for heterogeneous graph adaptation Yuanxin Zhuang, Chuan Shi, Cheng Yang, Fuzhen Zhuang, and Yangqiu Song

• PAKDD 2021 Tree-Capsule: Tree-Structured Capsule Network for Improving Relation Extraction Tianchi Yang, Linmei Hu, Luhao Zhang, Chuan Shi, Cheng Yang, Nan Duan, Ming Zhou

• CIKM 2021 The Basics of Network Embedding Yaojing Wang, Guosheng Pan, Yuan Yao, Hanghang Tong, Hongxia Yang, Feng Xu, Jian Lu

• Springer Network embedding for community-structured graphs Cheng Yang, Chuan Shi, Zhiyuan Liu, Cunchao Tu & Maosong Sun

• Springer Network Embedding for Graphs with Node Contents Cheng Yang, Chuan Shi, Zhiyuan Liu, Cunchao Tu & Maosong Sun

• Springer Network Embedding for Large-Scale Graphs Cheng Yang, Chuan Shi, Zhiyuan Liu, Cunchao Tu & Maosong Sun

• Springer Network Embedding for Information Diffusion Prediction Cheng Yang, Chuan Shi, Zhiyuan Liu, Cunchao Tu & Maosong Sun

• Springer Network Embedding for Heterogeneous Graphs Cheng Yang, Chuan Shi, Zhiyuan Liu, Cunchao Tu & Maosong Sun

• Springer Network Embedding for Social Relation Extraction Cheng Yang, Chuan Shi, Zhiyuan Liu, Cunchao Tu & Maosong Sun

• Springer Revisiting Attributed Network Embedding: A GCN-Based Perspective Cheng Yang, Chuan Shi, Zhiyuan Liu, Cunchao Tu & Maosong Sun

• Springer Network Embedding for Recommendation Systems on LBSNs Cheng Yang, Chuan Shi, Zhiyuan Liu, Cunchao Tu & Maosong Sun

• Springer Network Embedding for Graphs with Node Labels Cheng Yang, Chuan Shi, Zhiyuan Liu, Cunchao Tu & Maosong Sun

• Springer Network Embedding for Graphs with Node Attributes Cheng Yang, Chuan Shi, Zhiyuan Liu, Cunchao Tu & Maosong Sun

• Springer Network Embedding for General Graphs Cheng Yang, Chuan Shi, Zhiyuan Liu, Cunchao Tu & Maosong Sun

• Springer Future Directions of Network Embedding Cheng Yang, Chuan Shi, Zhiyuan Liu, Cunchao Tu & Maosong Sun

⌛️ 2020

• AI Open 2020 Graph 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

• KDD 2020 Adaptive graph encoder for attributed graph embedding Ganqu Cui, Jie Zhou, Cheng Yang, Zhiyuan Liu

• Information Processing & Management Graph neural news recommendation with long-term and short-term interest modeling Linmei Hu, Chen Li, Chuan Shi, Cheng Yang, Chao Shao

• ACL 2020 Graph neural news recommendation with unsupervised preference disentanglement Linmei Hu, Siyong Xu, Chen Li, Cheng Yang, Chuan Shi, Nan Duan, Xing Xie, Ming Zhou

• AAAI 2020 Mixpoet: Diverse poetry generation via learning controllable mixed latent space Xiaoyuan Yi, Ruoyu Li, Cheng Yang, Wenhao Li, Maosong Sun

• IJCAI 2020 PewLSTM: Periodic LSTM with Weather-Aware Gating Mechanism for Parking Behavior Prediction Feng Zhang, Ningxuan Feng, Yani Liu, Cheng Yang, Jidong Zhai, Shuhao Zhang, Bingsheng He, Jiazao Lin, Xiaoyong Du

• IEEE TASLP 2020 Improving 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

• IEEE TKDE 2020 Cosine: compressive network embedding on large-scale information networks Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Maosong Sun, Zhichong Fang, Bo Zhang, Leyu Lin

• arxiv preprint KACC: 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

• arxiv preprint Information diffusion prediction with latent factor disentanglement Haoran Wang, Cheng Yang

• IEEE TASLP 2020 Reinforced zero-shot cross-lingual neural headline generation Ayana, Yun Chen, Cheng Yang, Zhiyuan Liu, Maosong Sun

⌛️ 2019

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

• IEEE TKDE 2019 CED: Credible early detection of social media rumors Changhe Song, Cunchao Tu, Cheng Yang, Zhiyuan Liu, Maosong Sun

• IEEE TKDE 2019 Neural diffusion model for microscopic cascade study Cheng Yang, Maosong Sun, Haoran Liu, Shiyi Han, Zhiyuan Liu, Huanbo Luan

• IJCAI 2019 Sentiment-Controllable Chinese Poetry Generation Huimin Chen, Xiaoyuan Yi, Maosong Sun, Wenhao Li, Cheng Yang, Zhipeng Guo

• EMNLP 2019 Improving distantly-supervised relation extraction with joint label embedding Linmei Hu, Luhao Zhang, Chuan Shi, Liqiang Nie, Weili Guan, Cheng Yang

• ACL 2019 Jiuge: A human-machine collaborative chinese classical poetry generation system Guo Zhipeng, Xiaoyuan Yi, Maosong Sun, Wenhao Li, Cheng Yang, Jiannan Liang, Huimin Chen, Yuhui Zhang, Ruoyu Li

⌛️ 2018

• EMNLP 2018 Stylistic chinese poetry generation via unsupervised style disentanglement Cheng Yang, Maosong Sun, Xiaoyuan Yi, Wenhao Li

• IEEE TASLP 2018 Zero-shot cross-lingual neural headline generation Shi-qi Shen, Yun Chen, Cheng Yang, Zhi-yuan Liu, Mao-song Sun

• AAAI 2018 Chinese LIWC lexicon expansion via hierarchical classification of word embeddings with sememe attention Xiangkai Zeng, Cheng Yang, Cunchao Tu, Zhiyuan Liu, Maosong Sun

• 中文信息学报 基于神经网络的集句诗自动生成 梁健楠， 孙茂松， 矣晓沅， 杨成， 陈慧敏， 刘正皓

⌛️ 2017

• TOIS 2017 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 2017 Fast network embedding enhancement via high order proximity approximation Cheng Yang, Maosong Sun, Zhiyuan Liu, Cunchao Tu

• 中国科学: 信息科学 网络表示学习综述 涂存超， 杨成， 刘知远， 孙茂松

⌛️ 2016

• Computational social networks 2016 Real-time topic-aware influence maximization using preprocessing Wei Chen, Tian Lin, Cheng Yang

⌛️ 2015

• IJCAI 2015 Network representation learning with rich text information Cheng Yang, Zhiyuan Liu, Deli Zhao, Maosong Sun, Edward Y. Chang

• arxiv preprint Comprehend deepwalk as matrix factorization Cheng Yang, Zhiyuan Liu

🎖 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