Efficient Topic-aware Influence Maximization Using Preprocessing. - Wei Chen 013; Tian Lin; Cheng Yang 002 (CoRR, 2014)

Real-Time Topic-Aware Influence Maximization Using Preprocessing. - Wei Chen 013; Tian Lin; Cheng Yang 002 (CSoNet, 2015)

Network Representation Learning with Rich Text Information. - Cheng Yang 002; Zhiyuan Liu 001; Deli Zhao; Maosong Sun 001; Edward Y. Chang (IJCAI, 2015)

Comprehend DeepWalk as Matrix Factorization. - Cheng Yang 002; Zhiyuan Liu 001 (CoRR, 2015)

A Neural Network Approach to Joint Modeling Social Networks and Mobile Trajectories. - Cheng Yang 002; Maosong Sun 001; Wayne Xin Zhao; Zhiyuan Liu 001; Edward Y. Chang (CoRR, 2016)

Fast Network Embedding Enhancement via High Order Proximity Approximation. - Cheng Yang 002; Maosong Sun 001; Zhiyuan Liu 001; Cunchao Tu (IJCAI, 2017)

A Neural Network Approach to Jointly Modeling Social Networks and Mobile Trajectories. - Cheng Yang 002; Maosong Sun 001; Wayne Xin Zhao; Zhiyuan Liu 001; Edward Y. Chang (ACM Trans. Inf. Syst., 2017)

Chinese LIWC Lexicon Expansion via Hierarchical Classification of Word Embeddings with Sememe Attention. - Xiangkai Zeng; Cheng Yang 002; Cunchao Tu; Zhiyuan Liu 001; Maosong Sun 001 (AAAI, 2018)

Stylistic Chinese Poetry Generation via Unsupervised Style Disentanglement. - Cheng Yang 002; Maosong Sun 001; Xiaoyuan Yi; Wenhao Li 003 (EMNLP, 2018)

CED: Credible Early Detection of Social Media Rumors. - Changhe Song; Cunchao Tu; Cheng Yang 002; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2018)

Graph Neural Networks: A Review of Methods and Applications. - Jie Zhou 024; Ganqu Cui; Zhengyan Zhang; Cheng Yang 002; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2018)

Neural Diffusion Model for Microscopic Cascade Prediction. - Cheng Yang 002; Maosong Sun 001; Haoran Liu; Shiyi Han; Zhiyuan Liu 001; Huanbo Luan (CoRR, 2018)

Zero-Shot Cross-Lingual Neural Headline Generation. - Shiqi Shen; Yun Chen 007; Cheng Yang 002; Zhiyuan Liu 001; Maosong Sun 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

Jiuge: A Human-Machine Collaborative Chinese Classical Poetry Generation System. - Zhipeng Guo 001; Xiaoyuan Yi; Maosong Sun 001; Wenhao Li 003; Cheng Yang 002; Jiannan Liang; Huimin Chen; Yuhui Zhang; Ruoyu Li (ACL (3), 2019)

GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification. - Jie Zhou 024; Xu Han 007; Cheng Yang 002; Zhiyuan Liu 001; Lifeng Wang; Changcheng Li; Maosong Sun 001 (ACL (1), 2019)

Improving Distantly-Supervised Relation Extraction with Joint Label Embedding. - Linmei Hu; Luhao Zhang; Chuan Shi 001; Liqiang Nie; Weili Guan; Cheng Yang 002 (EMNLP/IJCNLP (1), 2019)

Sentiment-Controllable Chinese Poetry Generation. - Huimin Chen; Xiaoyuan Yi; Maosong Sun 001; Wenhao Li 003; Cheng Yang 002; Zhipeng Guo 001 (IJCAI, 2019)

Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks. - Cheng Yang 002; Jian Tang 005; Maosong Sun 001; Ganqu Cui; Zhiyuan Liu 001 (IJCAI, 2019)

Content-aware Deep Perceptual Image Compression. - Yiping Duan; Yaqiang Zhang; Xiaoming Tao 001; Chaoyi Han; Mai Xu; Cheng Yang 002; Jianhua Lu (WCSP, 2019)

Enhancing Recurrent Neural Networks with Sememes. - Yujia Qin; Fanchao Qi; Sicong Ouyang; Zhiyuan Liu 001; Cheng Yang 002; Yasheng Wang; Qun Liu 001; Maosong Sun 001 (CoRR, 2019)

MixPoet: Diverse Poetry Generation via Learning Controllable Mixed Latent Space. - Xiaoyuan Yi; Ruoyu Li; Cheng Yang 002; Wenhao Li 003; Maosong Sun 001 (AAAI, 2020)

Graph Neural News Recommendation with Unsupervised Preference Disentanglement. - Linmei Hu; Siyong Xu; Chen Li; Cheng Yang 002; Chuan Shi 001; Nan Duan; Xing Xie 001; Ming Zhou 001 (ACL, 2020)

PewLSTM: Periodic LSTM with Weather-Aware Gating Mechanism for Parking Behavior Prediction. - Feng Zhang 007; Ningxuan Feng; Yani Liu; Cheng Yang 002; Jidong Zhai; Shuhao Zhang 001; Bingsheng He; Jiazao Lin; Xiaoyong Du 001 (IJCAI, 2020)

Adaptive Graph Encoder for Attributed Graph Embedding. - Ganqu Cui; Jie Zhou 024; Cheng Yang 002; Zhiyuan Liu 001 (KDD, 2020)

Graph neural networks: A review of methods and applications. - Jie Zhou 024; Ganqu Cui; Shengding Hu; Zhengyan Zhang; Cheng Yang 002; Zhiyuan Liu 001; Lifeng Wang; Changcheng Li; Maosong Sun 001 (AI Open, 2020)

KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion. - Jie Zhou 024; Xin Lv; Cheng Yang 002; Zhiyuan Liu 001; Juanzi Li; Maosong Sun 001 (CoRR, 2020)

Graph neural news recommendation with long-term and short-term interest modeling. - Linmei Hu; Chen Li; Chuan Shi 001; Cheng Yang 002; Chao Shao (Inf. Process. Manag., 2020)

Reinforced Zero-Shot Cross-Lingual Neural Headline Generation. - Ayana; Yun Chen 007; Cheng Yang 002; Zhiyuan Liu 001; Maosong Sun 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Improving Sequence Modeling Ability of Recurrent Neural Networks via Sememes. - Yujia Qin; Fanchao Qi; Sicong Ouyang; Zhiyuan Liu 001; Cheng Yang 002; Yasheng Wang; Qun Liu 001; Maosong Sun 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Representation Learning in Wireless Multimedia Communications. - Xiaoming Tao 001; Yiping Duan; Cheng Yang 002; Haijun Zhang 001; Shuai Liu; Jianhua Lu (IEEE Wirel. Commun., 2020)

KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion. - Jie Zhou 016; Shengding Hu; Xin Lv; Cheng Yang 002; Zhiyuan Liu 001; Wei Xu 034; Jie Jiang; Juanzi Li; Maosong Sun 001 (ACL/IJCNLP (Findings), 2021)

Neural Information Diffusion Prediction with Topic-Aware Attention Network. - Hao Wang 139; Cheng Yang 002; Chuan Shi 001 (CIKM, 2021)

Topic-aware Heterogeneous Graph Neural Network for Link Prediction. - Siyong Xu; Cheng Yang 002; Chuan Shi 001; Yuan Fang 001; Yuxin Guo; Tianchi Yang; Luhao Zhang; Maodi Hu (CIKM, 2021)

Treasures Outside Contexts: Improving Event Detection via Global Statistics. - Rui Li 044; Wenlin Zhao; Cheng Yang 002; Sen Su (EMNLP (1), 2021)

Heterogeneous Graph Neural Network with Distance Encoding. - Houye Ji; Cheng Yang 002; Chuan Shi 001; Pan Li 005 (ICDM, 2021)

Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration. - Xiao Wang 017; Hongrui Liu; Chuan Shi 001; Cheng Yang 002 (NeurIPS, 2021)

Tree-Capsule: Tree-Structured Capsule Network for Improving Relation Extraction. - Tianchi Yang; Linmei Hu; Luhao Zhang; Chuan Shi 001; Cheng Yang 002; Nan Duan; Ming Zhou 001 (PAKDD (3), 2021)

Semantic-Specific Hierarchical Alignment Network for Heterogeneous Graph Adaptation. - Yuanxin Zhuang; Chuan Shi 001; Cheng Yang 002; Fuzhen Zhuang; Yangqiu Song (ECML/PKDD (2), 2021)

Package Recommendation with Intra- and Inter-Package Attention Networks. - Chen Li; Yuanfu Lu; Wei Wang; Chuan Shi 001; Ruobing Xie; Haili Yang; Cheng Yang 002; Xu Zhang 028; Leyu Lin (SIGIR, 2021)

Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework. - Cheng Yang 002; Jiawei Liu 006; Chuan Shi 001 (WWW, 2021)

Evaluating Modules in Graph Contrastive Learning. - Ganqu Cui; Yufeng Du; Cheng Yang 002; Jie Zhou 024; Liang Xu; Lifeng Wang; Zhiyuan Liu 001 (CoRR, 2021)

Text-Graph Enhanced Knowledge Graph Representation Learning. - Linmei Hu; Mengmei Zhang; Shaohua Li; Jinghan Shi; Chuan Shi 001; Cheng Yang 002; Zhiyuan Liu 001 (Frontiers Artif. Intell., 2021)

From Symbols to Embeddings: A Tale of Two Representations in Computational Social Science. - Huimin Chen; Cheng Yang 002; Xuanming Zhang; Zhiyuan Liu 001; Maosong Sun 001; Jianbin Jin (J. Soc. Comput., 2021)

CED: Credible Early Detection of Social Media Rumors. - Changhe Song; Cheng Yang 002; Huimin Chen; Cunchao Tu; Zhiyuan Liu 001; Maosong Sun 001 (IEEE Trans. Knowl. Data Eng., 2021)

Neural Diffusion Model for Microscopic Cascade Study. - Cheng Yang 002; Maosong Sun 001; Haoran Liu; Shiyi Han; Zhiyuan Liu 001; Huanbo Luan (IEEE Trans. Knowl. Data Eng., 2021)

Network Embedding: Theories, Methods, and Applications - Cheng Yang 002; Zhiyuan Liu 001; Cunchao Tu; Chuan Shi 001; Maosong Sun 001 (Network Embedding, 2021)

OpenHGNN: An Open Source Toolkit for Heterogeneous Graph Neural Network. - Hui Han; Tianyu Zhao; Cheng Yang 002; Hongyi Zhang; Yaoqi Liu; Xiao Wang 017; Chuan Shi 001 (CIKM, 2022)

Gated Hypergraph Neural Network for Scene-Aware Recommendation. - Tianchi Yang; Luhao Zhang; Chuan Shi 001; Cheng Yang 002; Siyong Xu; Ruiyu Fang; Maodi Hu; Huaijun Liu; Tao Li; Dong Wang 022 (DASFAA (2), 2022)

A Dual-Expert Framework for Event Argument Extraction. - Rui Li 044; Wenlin Zhao; Cheng Yang 002; Sen Su (SIGIR, 2022)

Co-clustering Interactions via Attentive Hypergraph Neural Network. - Tianchi Yang; Cheng Yang 002; Luhao Zhang; Chuan Shi 001; Maodi Hu; Huaijun Liu; Tao Li; Dong Wang 022 (SIGIR, 2022)

Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network. - Tianyu Zhao; Cheng Yang 002; Yibo Li; Quan Gan; Zhenyi Wang; Fengqi Liang; Huan Zhao 002; Yingxia Shao; Xiao Wang 017; Chuan Shi 001 (SIGIR, 2022)

Few-shot Link Prediction in Dynamic Networks. - Cheng Yang 002; Chunchen Wang; Yuanfu Lu; Xumeng Gong; Chuan Shi 001; Wei Wang; Xu Zhang 028 (WSDM, 2022)

xTrimoABFold: De novo Antibody Structure Prediction without MSA. - Yining Wang; Xumeng Gong; Shaochuan Li; Bing Yang; YiWu Sun; Chuan Shi 001; Yangang Wang; Cheng Yang 002; Hui Li; Le Song (CoRR, 2022)

Hypergraph Clustering Network for Interaction Data. - Tianchi Yang; Luhao Zhang; Cheng Yang 002; Chuan Shi 001; Maodi Hu; Tao Li; Dong Wang 022 (IEEE Data Eng. Bull., 2022)

Periodic Weather-Aware LSTM With Event Mechanism for Parking Behavior Prediction. - Feng Zhang 007; Yani Liu; Ningxuan Feng; Cheng Yang 002; Jidong Zhai; Shuhao Zhang 001; Bingsheng He; Jiazao Lin; Xiao Zhang 001; Xiaoyong Du 001 (IEEE Trans. Knowl. Data Eng., 2022)

COSINE: Compressive Network Embedding on Large-Scale Information Networks. - Zhengyan Zhang; Cheng Yang 002; Zhiyuan Liu 001; Maosong Sun 001; Zhichong Fang; Bo Zhang 056; Leyu Lin (IEEE Trans. Knowl. Data Eng., 2022)

MiDTD: A Simple and Effective Distillation Framework for Distantly Supervised Relation Extraction. - Rui Li 044; Cheng Yang 002; Tingwei Li; Sen Su (ACM Trans. Inf. Syst., 2022)

Payment behavior prediction on shared parking lots with TR-GCN. - Qingyu Xu; Feng Zhang 007; Mingde Zhang; Jidong Zhai; Bingsheng He; Cheng Yang 002; Shuhao Zhang 001; Jiazao Lin; Haidi Liu; Xiaoyong Du 001 (VLDB J., 2022)

A survey on heterogeneous information network based recommender systems: Concepts, methods, applications and resources. - Jiawei Liu 006; Chuan Shi 001; Cheng Yang 002; Zhiyuan Lu; Philip S. Yu (AI Open, 2022)

MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning. - Xumeng Gong; Cheng Yang 002; Chuan Shi 001 (AAAI, 2023)

NewsDialogues: Towards Proactive News Grounded Conversation. - Siheng Li; Yichun Yin; Cheng Yang 002; Wangjie Jiang; Yiwei Li; Zesen Cheng; Lifeng Shang; Xin Jiang 002; Qun Liu 001; Yujiu Yang (ACL (Findings), 2023)

AutoConv: Automatically Generating Information-seeking Conversations with Large Language Models. - Siheng Li; Cheng Yang 002; Yichun Yin; Xinyu Zhu; Zesen Cheng; Lifeng Shang; Xin Jiang 002; Qun Liu 001; Yujiu Yang (ACL (2), 2023)

Datasets and Interfaces for Benchmarking Heterogeneous Graph Neural Networks. - Yijian Liu; Hongyi Zhang; Cheng Yang 002; Ao Li; Yugang Ji; Luhao Zhang; Tao Li; Jinyu Yang; Tianyu Zhao; Juan Yang; Hai Huang; Chuan Shi 001 (CIKM, 2023)

Memory-Enhanced Period-Aware Graph Neural Network for General POI Recommendation. - Tianchi Yang; Haihan Gao; Cheng Yang 002; Chuan Shi 001; Qianlong Xie; Xingxing Wang; Dong Wang 022 (DASFAA (2), 2023)

Enhancing Dialogue Generation with Conversational Concept Flows. - Siheng Li; Wangjie Jiang; Pengda Si; Cheng Yang 002; Yao Qiu; Jinchao Zhang 001; Jie Zhou 016; Yujiu Yang (EACL (Findings), 2023)

Specialist or Generalist? Instruction Tuning for Specific NLP Tasks. - Chufan Shi; Yixuan Su; Cheng Yang 002; Yujiu Yang; Deng Cai 002 (EMNLP, 2023)

A Data-centric Framework to Endow Graph Neural Networks with Out-Of-Distribution Detection Ability. - Yuxin Guo; Cheng Yang 002; Yuluo Chen; Jixi Liu; Chuan Shi 001; Junping Du 001 (KDD, 2023)

Injecting Multimodal Information into Rigid Protein Docking via Bi-level Optimization. - Ruijia Wang; YiWu Sun; Yujie Luo; Shaochuan Li; Cheng Yang 002; Xingyi Cheng; Hui Li; Chuan Shi 001; Le Song (NeurIPS, 2023)

Abnormal Event Detection via Hypergraph Contrastive Learning. - Bo Yan 001; Cheng Yang 002; Chuan Shi 001; Jiawei Liu 006; Xiaochen Wang (SDM, 2023)

GammaGL: A Multi-Backend Library for Graph Neural Networks. - Yaoqi Liu; Cheng Yang 002; Tianyu Zhao; Hui Han; Siyuan Zhang; Jing Wu; Guangyu Zhou; Hai Huang; Hui Wang; Chuan Shi 001 (SIGIR, 2023)

Knowledge-Adaptive Contrastive Learning for Recommendation. - Hao Wang 139; Yao Xu; Cheng Yang 002; Chuan Shi 001; Xin Li 005; Ning Guo; Zhiyuan Liu 001 (WSDM, 2023)

Learning to Distill Graph Neural Networks. - Cheng Yang 002; Yuxin Guo; Yao Xu; Chuan Shi 001; Jiawei Liu 006; Chunchen Wang; Xin Li 005; Ning Guo; Hongzhi Yin (WSDM, 2023)

A Post-Training Framework for Improving Heterogeneous Graph Neural Networks. - Cheng Yang 002; Xumeng Gong; Chuan Shi 001; Philip S. Yu (WWW, 2023)

Tool Learning with Foundation Models. - Yujia Qin; Shengding Hu; Yankai Lin; Weize Chen; Ning Ding 002; Ganqu Cui; Zheni Zeng; Yufei Huang 008; Chaojun Xiao; Chi Han; Yi Ren Fung 001; Yusheng Su; et al. (CoRR, 2023)

Interactive Molecular Discovery with Natural Language. - Zheni Zeng; Bangchen Yin; Shipeng Wang; Jiarui Liu; Cheng Yang 002; Haishen Yao; Xingzhi Sun 002; Maosong Sun 001; Guotong Xie; Zhiyuan Liu 001 (CoRR, 2023)

Communicative Agents for Software Development. - Chen Qian; Xin Cong; Cheng Yang 002; Weize Chen; Yusheng Su; Juyuan Xu; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2023)

AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents. - Weize Chen; Yusheng Su; Jingwei Zuo; Cheng Yang 002; Chenfei Yuan; Chen Qian; Chi-Min Chan; Yujia Qin; Yaxi Lu; Ruobing Xie; Zhiyuan Liu 001; Maosong Sun 001; et al. (CoRR, 2023)

Data-centric Graph Learning: A Survey. - Cheng Yang 002; Deyu Bo; Jixi Liu; Yufei Peng; Boyu Chen; Haoran Dai; Ao Sun; Yue Yu 007; Yixin Xiao; Qi Zhang 066; Chunchen Wang; Yuxin Guo; et al. (CoRR, 2023)

Experiential Co-Learning of Software-Developing Agents. - Chen Qian; Yufan Dang; Jiahao Li; Wei Liu 161; Weize Chen; Cheng Yang 002; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2023)

Advances in Graph Neural Networks - Chuan Shi 001; Xiao Wang 017; Cheng Yang 002 (Springer, 2023)

Full-Scale Information Diffusion Prediction With Reinforced Recurrent Networks. - Cheng Yang 002; Hao Wang 139; Jian Tang 005; Chuan Shi 001; Maosong Sun 001; Ganqu Cui; Zhiyuan Liu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization. - Tianrui Jia; Haoyang Li; Cheng Yang 002; Tao Tao; Chuan Shi 001 (AAAI, 2024)

FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization. - Cheng Yang 002; Jixi Liu; Yunhe Yan; Chuan Shi 001 (AAAI, 2024)

Experiential Co-Learning of Software-Developing Agents. - Chen Qian; Yufan Dang; Jiahao Li; Wei Liu 161; Zihao Xie; Yifei Wang; Weize Chen; Cheng Yang 002; Xin Cong; Xiaoyin Che; Zhiyuan Liu 001; Maosong Sun 001 (ACL (1), 2024)

ChatDev: Communicative Agents for Software Development. - Chen Qian; Wei Liu 161; Hongzhang Liu; Nuo Chen; Yufan Dang; Jiahao Li; Cheng Yang 002; Weize Chen; Yusheng Su; Xin Cong; Juyuan Xu; Dahai Li; et al. (ACL (1), 2024)

Beyond Natural Language: LLMs Leveraging Alternative Formats for Enhanced Reasoning and Communication. - Weize Chen; Chenfei Yuan; Jiarui Yuan; Yusheng Su; Chen Qian; Cheng Yang 002; Ruobing Xie; Zhiyuan Liu 001; Maosong Sun 001 (EMNLP (Findings), 2024)

AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors. - Weize Chen; Yusheng Su; Jingwei Zuo; Cheng Yang 002; Chenfei Yuan; Chi-Min Chan; Heyang Yu; Yaxi Lu; Yi-Hsin Hung; Chen Qian; Yujia Qin; Xin Cong; et al. (ICLR, 2024)

Heterogeneous Graph Transformer with Poly-Tokenization. - Zhiyuan Lu; Yuan Fang 001; Cheng Yang 002; Chuan Shi 001 (IJCAI, 2024)

Advancing Molecule Invariant Representation via Privileged Substructure Identification. - Ruijia Wang; Haoran Dai; Cheng Yang 002; Le Song; Chuan Shi 001 (KDD, 2024)

Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models. - Xin Li 005; Weize Chen; Qizhi Chu; Haopeng Li; Zhaojun Sun; Ran Li; Chen Qian; Yiwei Wei; Chuan Shi 001; Zhiyuan Liu 001; Maosong Sun 001; Cheng Yang 002 (NeurIPS, 2024)

Autonomous Agents for Collaborative Task under Information Asymmetry. - Wei Liu 161; Chenxi Wang 001; Yifei Wang; Zihao Xie; Rennai Qiu; Yufan Dang; Zhuoyun Du; Weize Chen; Cheng Yang 002; Chen Qian (NeurIPS, 2024)

Unchosen Experts Can Contribute Too: Unleashing MoE Models' Power by Self-Contrast. - Chufan Shi; Cheng Yang 002; Xinyu Zhu; Jiahao Wang; Taiqiang Wu; Siheng Li; Deng Cai 002; Yujiu Yang; Yu Meng 001 (NeurIPS, 2024)

Adaptively Denoising Graph Neural Networks for Knowledge Distillation. - Yuxin Guo; Cheng Yang 002; Chuan Shi 001; Ke Tu; Zhengwei Wu; Zhiqiang Zhang 012; Jun Zhou 011 (ECML/PKDD (8), 2024)

Lecture-style Tutorial: Towards Graph Foundation Models. - Chuan Shi 001; Cheng Yang 002; Yuan Fang 001; Lichao Sun 001; Philip S. Yu (WWW (Companion Volume), 2024)

Calibrating Graph Neural Networks from a Data-centric Perspective. - Cheng Yang 002; Chengdong Yang; Chuan Shi 001; Yawen Li 001; Zhiqiang Zhang 012; Jun Zhou 011 (WWW, 2024)

GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks. - Mengmei Zhang; Mingwei Sun; Peng Wang 133; Shen Fan; Yanhu Mo; Xiaoxiao Xu; Hong Liu; Cheng Yang 002; Chuan Shi 001 (WWW, 2024)

Endowing Pre-trained Graph Models with Provable Fairness. - Zhongjian Zhang; Mengmei Zhang; Yue Yu 007; Cheng Yang 002; Jiawei Liu 006; Chuan Shi 001 (WWW, 2024)

Adaptive negative representations for graph contrastive learning. - Qi Zhang 066; Cheng Yang 002; Chuan Shi 001 (AI Open, 2024)

BurstAttention: An Efficient Distributed Attention Framework for Extremely Long Sequences. - Sun Ao; Weilin Zhao; Xu Han 007; Cheng Yang 002; Zhiyuan Liu 001; Chuan Shi 001; Maosong Sun 001; Shengnan Wang; Teng Su (CoRR, 2024)

Iterative Experience Refinement of Software-Developing Agents. - Chen Qian; Jiahao Li; Yufan Dang; Wei Liu 161; Yifei Wang; Zihao Xie; Weize Chen; Cheng Yang 002; Yingli Zhang; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2024)

Scaling Large-Language-Model-based Multi-Agent Collaboration. - Chen Qian; Zihao Xie; Yifei Wang; Wei Liu 161; Yufan Dang; Zhuoyun Du; Weize Chen; Cheng Yang 002; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2024)

Multi-Agent Software Development through Cross-Team Collaboration. - Zhuoyun Du; Chen Qian; Wei Liu 161; Zihao Xie; Yifei Wang; Yufan Dang; Weize Chen; Cheng Yang 002 (CoRR, 2024)

GraphTeam: Facilitating Large Language Model-based Graph Analysis via Multi-Agent Collaboration. - Xin Li 005; Qizhi Chu; Yubin Chen; Yang Liu 348; Yaoqi Liu; Zekai Yu; Weize Chen; Chen Qian; Chuan Shi 001; Cheng Yang 002 (CoRR, 2024)

Large Language Models Can Self-Improve in Long-context Reasoning. - Siheng Li; Cheng Yang 002; Zesen Cheng; Lemao Liu; Mo Yu; Yujiu Yang; Wai Lam (CoRR, 2024)

LLM2: Let Large Language Models Harness System 2 Reasoning. - Cheng Yang 002; Chufan Shi; Siheng Li; Bo Shui; Yujiu Yang; Wai Lam (CoRR, 2024)

Non-autoregressive personalized bundle generation. - Wenchuan Yang; Cheng Yang 002; Jichao Li; Yuejin Tan; Xin Lu 002; Chuan Shi 001 (Inf. Process. Manag., 2024)

Graph Mining for Cybersecurity: A Survey. - Bo Yan 005; Cheng Yang 002; Chuan Shi 001; Yong Fang 002; Qi Li 002; Yanfang Ye 001; Junping Du 001 (ACM Trans. Knowl. Discov. Data, 2024)

Distance Information Improves Heterogeneous Graph Neural Networks. - Chuan Shi 001; Houye Ji; Zhiyuan Lu; Ye Tang; Pan Li 005; Cheng Yang 002 (IEEE Trans. Knowl. Data Eng., 2024)

Group-to-group recommendation with neural graph matching. - Chunchen Wang; Wei Wang; Cheng Yang 002; Chuan Shi 001; Ruobing Xie; Yuanfu Lu; Haili Yang; Xu Zhang 028 (World Wide Web (WWW), 2024)

Graph foundation model. - Chuan Shi 001; Junze Chen; Jiawei Liu 006; Cheng Yang 002 (Frontiers Comput. Sci., 2024)

Federated Graph Condensation with Information Bottleneck Principles. - Bo Yan 005; Sihao He; Cheng Yang 002; Shang Liu 001; Yang Cao 011; Chuan Shi 001 (AAAI, 2025)

Harnessing Language Model for Cross-Heterogeneity Graph Knowledge Transfer. - Jinyu Yang; Ruijia Wang; Cheng Yang 002; Bo Yan; Qimin Zhou; Yang Juan; Chuan Shi 001 (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 003; Boyu Chen; Tengfei Ma; Zikai Zhou; Cheng Yang 002; Chuan Shi 001 (AAAI, 2025)

Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System. - Weize Chen; Jiarui Yuan; Chen Qian; Cheng Yang 002; Zhiyuan Liu 001; Maosong Sun 001 (ACL (Findings), 2025)

Judge as A Judge: Improving the Evaluation of Retrieval-Augmented Generation through the Judge-Consistency of Large Language Models. - Shuliang Liu; Xinze Li; Zhenghao Liu 001; Yukun Yan; Cheng Yang 002; Zheni Zeng; Zhiyuan Liu 001; Maosong Sun 001; Ge Yu 001 (ACL (Findings), 2025)

ChartMimic: Evaluating LMM's Cross-Modal Reasoning Capability via Chart-to-Code Generation. - Cheng Yang 002; Chufan Shi; Yaxin Liu; Bo Shui; Junjie Wang 011; Mohan Jing; Linran Xu; Xinyu Zhu; Siheng Li; Yuxiang Zhang; Gongye Liu; Xiaomei Nie; et al. (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 002; Ruobing Xie; Zhiyuan Liu 001; Maosong Sun 001 (ICLR, 2025)

Scaling Large Language Model-based Multi-Agent Collaboration. - Chen Qian; Zihao Xie; Yifei Wang; Wei Liu 161; Kunlun Zhu; Hanchen Xia; Yufan Dang; Zhuoyun Du; Weize Chen; Cheng Yang 002; Zhiyuan Liu 001; Maosong Sun 001 (ICLR, 2025)

Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks? - Zhongjian Zhang; Xiao Wang 017; Huichi Zhou; Yue Yu 007; Mengmei Zhang; Cheng Yang 002; Chuan Shi 001 (KDD (1), 2025)

Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training. - Sun Ao; Weilin Zhao; Xu Han 007; Cheng Yang 002; Xinrong Zhang; Zhiyuan Liu 001; Chuan Shi 001; Maosong Sun 001 (NAACL (Long Papers), 2025)

CORONA: A Coarse-to-Fine Framework for Graph-based Recommendation with Large Language Models. - Junze Chen; Xinjie Yang; Cheng Yang 002; Junfei Bao; Zeyuan Guo; Yawen Li 001; Chuan Shi 001 (SIGIR, 2025)

Unknown web attack threat detection based on large language model. - Yijia Xu; Qiang Zhang; Huaxin Deng; Zhonglin Liu; Cheng Yang 002; Yong Fang 002 (Appl. Soft Comput., 2025)

Invariant debiasing learning for recommendation via biased imputation. - Ting Bai; Weijie Chen; Cheng Yang 002; Chuan Shi 001 (Inf. Process. Manag., 2025)

A Survey on the Honesty of Large Language Models. - Siheng Li; Cheng Yang 002; Taiqiang Wu; Chufan Shi; Yuji Zhang 002; Xinyu Zhu; Zesen Cheng; Deng Cai 002; Mo Yu; Lemao Liu; Jie Zhou 016; Yujiu Yang; et al. (Trans. Mach. Learn. Res., 2025)

Graph Foundation Models for Recommendation: A Comprehensive Survey. - Bin Wu; Yihang Wang; Yuanhao Zeng; Jiawei Liu 006; Jiashu Zhao; Cheng Yang 002; Yawen Li 001; Long Xia; Dawei Yin; Chuan Shi 001 (CoRR, 2025)

PathRAG: Pruning Graph-based Retrieval Augmented Generation with Relational Paths. - Boyu Chen; Zirui Guo; Zidan Yang; Yuluo Chen; Junze Chen; Zhenghao Liu 001; Chuan Shi 001; Cheng Yang 002 (CoRR, 2025)

Data-Centric Graph Learning: A Survey. - Yuxin Guo; Deyu Bo; Cheng Yang 002; Zhiyuan Lu; Zhongjian Zhang; Jixi Liu; Yufei Peng; Chuan Shi 001 (IEEE Trans. Big Data, 2025)

Tool Learning with Foundation Models. - Yujia Qin; Shengding Hu; Yankai Lin; Weize Chen; Ning Ding 002; Ganqu Cui; Zheni Zeng; Xuanhe Zhou; Yufei Huang 008; Chaojun Xiao; Chi Han; Yi R. Fung 001; et al. (ACM Comput. Surv., 2025)

Multi-Agent Collaboration via Evolving Orchestration. - Yufan Dang; Chen Qian; Xueheng Luo; Jingru Fan; Zihao Xie; Ruijie Shi; Weize Chen; Cheng Yang 002; Xiaoyin Che; Ye Tian; Xuantang Xiong; Lei Han; et al. (CoRR, 2025)

Co-Saving: Resource Aware Multi-Agent Collaboration for Software Development. - Rennai Qiu; Chen Qian; Ran Li; Yufan Dang; Weize Chen; Cheng Yang 002; Yingli Zhang; Ye Tian; Xuantang Xiong; Lei Han; Zhiyuan Liu 001; Maosong Sun 001 (CoRR, 2025)

EULER: Enhancing the Reasoning Ability of Large Language Models through Error-Induced Learning. - Zhuoyang Wu; Xinze Li; Zhenghao Liu 001; Yukun Yan; Zhiyuan Liu 001; Minghe Yu; Cheng Yang 002; Yu Gu 002; Ge Yu 001; Maosong Sun 001 (CoRR, 2025)

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 002; Weichuan Liu; Ye Tian; Xuantang Xiong; et al. (CoRR, 2025)

GraphLAMA: Enabling Efficient Adaptation of Graph Language Models with Limited Annotations. - Junze Chen; Cheng Yang 002; Shujie Li 003; Zhiqiang Zhang 012; Yawen Li 001; Junping Du 001; Chuan Shi 001 (CoRR, 2025)

Graph Foundation Models: Concepts, Opportunities and Challenges. - Jiawei Liu 006; Cheng Yang 002; Zhiyuan Lu; Junze Chen; Yibo Li; Mengmei Zhang; Ting Bai; Yuan Fang 001; Lichao Sun 001; Philip S. Yu; Chuan Shi 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Efficient Multi-task Prompt Tuning for Recommendation. - Ting Bai; Le Huang; Yue Yu 007; Cheng Yang 002; Cheng Hou; Zhe Zhao 006; Chuan Shi 001 (ACM Trans. Inf. Syst., 2025)