Cheng Yang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 82

Top Topics

Diffusion Model

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

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
AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors. ICLR (2024)
Cheng Yang, Jixi Liu, Yunhe Yan, Chuan Shi
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization. AAAI (2024)
Chuan Shi, Houye Ji, Zhiyuan Lu, Ye Tang, Pan Li, Cheng Yang
Distance Information Improves Heterogeneous Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 36 (3) (2024)
Wei Liu, Chenxi Wang, Yifei Wang, Zihao Xie, Rennai Qiu, Yufan Dang, Zhuoyun Du, Weize Chen, Cheng Yang, Chen Qian
Autonomous Agents for Collaborative Task under Information Asymmetry. CoRR (2024)
Chen Qian, Jiahao Li, Yufan Dang, Wei Liu, Yifei Wang, Zihao Xie, Weize Chen, Cheng Yang, Yingli Zhang, Zhiyuan Liu, Maosong Sun
Iterative Experience Refinement of Software-Developing Agents. CoRR (2024)
Tianrui Jia, Haoyang Li, Cheng Yang, Tao Tao, Chuan Shi
Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization. AAAI (2024)
Weize Chen, Ziming You, Ran Li, Yitong Guan, Chen Qian, Chenyang Zhao, Cheng Yang, Ruobing Xie, Zhiyuan Liu, Maosong Sun
Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence. CoRR (2024)
Chunchen Wang, Wei Wang, Cheng Yang, Chuan Shi, Ruobing Xie, Yuanfu Lu, Haili Yang, Xu Zhang
Group-to-group recommendation with neural graph matching. World Wide Web (WWW) 27 (2) (2024)
Cheng Yang, Chengdong Yang, Chuan Shi, Yawen Li, Zhiqiang Zhang, Jun Zhou
Calibrating Graph Neural Networks from a Data-centric Perspective. WWW (2024)
Sun Ao, Weilin Zhao, Xu Han, Cheng Yang, Zhiyuan Liu, Chuan Shi, Maosong Sun, Shengnan Wang, Teng Su
BurstAttention: An Efficient Distributed Attention Framework for Extremely Long Sequences. CoRR (2024)
Bo Yan, Cheng Yang, Chuan Shi, Yong Fang, Qi Li, Yanfang Ye, Junping Du
Graph Mining for Cybersecurity: A Survey. ACM Trans. Knowl. Discov. Data 18 (2) (2024)
Chuan Shi, Cheng Yang, Yuan Fang, Lichao Sun, Philip S. Yu
Lecture-style Tutorial: Towards Graph Foundation Models. WWW (Companion Volume) (2024)
Qi Zhang, Cheng Yang, Chuan Shi
Adaptive negative representations for graph contrastive learning. AI Open 5 (2024)
Zhongjian Zhang, Mengmei Zhang, Yue Yu, Cheng Yang, Jiawei Liu, Chuan Shi
Endowing Pre-trained Graph Models with Provable Fairness. WWW (2024)
Chen Qian, Yufan Dang, Jiahao Li, Wei Liu, Zihao Xie, Yifei Wang, Weize Chen, Cheng Yang, Xin Cong, Xiaoyin Che, Zhiyuan Liu, Maosong Sun
Experiential Co-Learning of Software-Developing Agents. ACL (1) (2024)
Ao Sun, Weilin Zhao, Xu Han, Cheng Yang, Zhiyuan Liu, Chuan Shi, Maosong Sun
Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training. CoRR (2024)
Cheng Yang, Jixi Liu, Yunhe Yan, Chuan Shi
FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization. CoRR (2024)
Mengmei Zhang, Mingwei Sun, Peng Wang, Shen Fan, Yanhu Mo, Xiaoxiao Xu, Hong Liu, Cheng Yang, Chuan Shi
GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks. WWW (2024)
Chen Qian, Zihao Xie, Yifei Wang, Wei Liu, Yufan Dang, Zhuoyun Du, Weize Chen, Cheng Yang, Zhiyuan Liu, Maosong Sun
Scaling Large-Language-Model-based Multi-Agent Collaboration. CoRR (2024)
Weize Chen, Chenfei Yuan, Jiarui Yuan, Yusheng Su, Chen Qian, Cheng Yang, Ruobing Xie, Zhiyuan Liu, Maosong Sun
Beyond Natural Language: LLMs Leveraging Alternative Formats for Enhanced Reasoning and Communication. CoRR (2024)
Wenchuan Yang, Cheng Yang, Jichao Li, Yuejin Tan, Xin Lu, Chuan Shi
Non-autoregressive personalized bundle generation. Inf. Process. Manag. 61 (5) (2024)
Zhongjian Zhang, Mengmei Zhang, Yue Yu, Cheng Yang, Jiawei Liu, Chuan Shi
Endowing Pre-trained Graph Models with Provable Fairness. CoRR (2024)
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
Tool Learning with Foundation Models. CoRR (2023)
Cheng Yang, Xumeng Gong, Chuan Shi, Philip S. Yu
A Post-Training Framework for Improving Heterogeneous Graph Neural Networks. WWW (2023)
Yuxin Guo, Cheng Yang, Yuluo Chen, Jixi Liu, Chuan Shi, Junping Du
A Data-centric Framework to Endow Graph Neural Networks with Out-Of-Distribution Detection Ability. KDD (2023)
Tianchi Yang, Haihan Gao, Cheng Yang, Chuan Shi, Qianlong Xie, Xingxing Wang, Dong Wang
Memory-Enhanced Period-Aware Graph Neural Network for General POI Recommendation. DASFAA (2) (2023)
Hao Wang, Yao Xu, Cheng Yang, Chuan Shi, Xin Li, Ning Guo, Zhiyuan Liu
Knowledge-Adaptive Contrastive Learning for Recommendation. WSDM (2023)
Cheng Yang, Hao Wang, Jian Tang, Chuan Shi, Maosong Sun, Ganqu Cui, Zhiyuan Liu
Full-Scale Information Diffusion Prediction With Reinforced Recurrent Networks. IEEE Trans. Neural Networks Learn. Syst. 34 (5) (2023)
Bo Yan, Cheng Yang, Chuan Shi, Jiawei Liu, Xiaochen Wang
Abnormal Event Detection via Hypergraph Contrastive Learning. SDM (2023)
Xumeng Gong, Cheng Yang, Chuan Shi
MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning. AAAI (2023)
Zheni Zeng, Bangchen Yin, Shipeng Wang, Jiarui Liu, Cheng Yang, Haishen Yao, Xingzhi Sun, Maosong Sun, Guotong Xie, Zhiyuan Liu
Interactive Molecular Discovery with Natural Language. CoRR (2023)
Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Maosong Sun, Zhichong Fang, Bo Zhang, Leyu Lin
COSINE: Compressive Network Embedding on Large-Scale Information Networks. IEEE Trans. Knowl. Data Eng. 34 (8) (2022)
Tianchi Yang, Luhao Zhang, Chuan Shi, Cheng Yang, Siyong Xu, Ruiyu Fang, Maodi Hu, Huaijun Liu, Tao Li, Dong Wang
Gated Hypergraph Neural Network for Scene-Aware Recommendation. DASFAA (2) (2022)
Feng Zhang, Yani Liu, Ningxuan Feng, Cheng Yang, Jidong Zhai, Shuhao Zhang, Bingsheng He, Jiazao Lin, Xiao Zhang, Xiaoyong Du
Periodic Weather-Aware LSTM With Event Mechanism for Parking Behavior Prediction. IEEE Trans. Knowl. Data Eng. 34 (12) (2022)
Tianchi Yang, Cheng Yang, Luhao Zhang, Chuan Shi, Maodi Hu, Huaijun Liu, Tao Li, Dong Wang
Co-clustering Interactions via Attentive Hypergraph Neural Network. SIGIR (2022)
Hui Han, Tianyu Zhao, Cheng Yang, Hongyi Zhang, Yaoqi Liu, Xiao Wang, Chuan Shi
OpenHGNN: An Open Source Toolkit for Heterogeneous Graph Neural Network. CIKM (2022)
Qingyu Xu, Feng Zhang, Mingde Zhang, Jidong Zhai, Bingsheng He, Cheng Yang, Shuhao Zhang, Jiazao Lin, Haidi Liu, Xiaoyong Du
Payment behavior prediction on shared parking lots with TR-GCN. VLDB J. 31 (5) (2022)
Tianchi Yang, Luhao Zhang, Cheng Yang, Chuan Shi, Maodi Hu, Tao Li, Dong Wang
Hypergraph Clustering Network for Interaction Data. IEEE Data Eng. Bull. 45 (4) (2022)
Tianyu Zhao, Cheng Yang, Yibo Li, Quan Gan, Zhenyi Wang, Fengqi Liang, Huan Zhao, Yingxia Shao, Xiao Wang, Chuan Shi
Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network. SIGIR (2022)
Rui Li, Cheng Yang, Tingwei Li, Sen Su
MiDTD: A Simple and Effective Distillation Framework for Distantly Supervised Relation Extraction. ACM Trans. Inf. Syst. 40 (4) (2022)
Cheng Yang, Maosong Sun, Haoran Liu, Shiyi Han, Zhiyuan Liu, Huanbo Luan
Neural Diffusion Model for Microscopic Cascade Study. IEEE Trans. Knowl. Data Eng. 33 (3) (2021)
Cheng Yang, Jiawei Liu, Chuan Shi
Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework. WWW (2021)
Jie Zhou, Shengding Hu, Xin Lv, Cheng Yang, Zhiyuan Liu, Wei Xu, Jie Jiang, Juanzi Li, Maosong Sun
KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion. ACL/IJCNLP (Findings) (2021)
Ganqu Cui, Yufeng Du, Cheng Yang, Jie Zhou, Liang Xu, Lifeng Wang, Zhiyuan Liu
Evaluating Modules in Graph Contrastive Learning. CoRR (2021)
Huimin Chen, Cheng Yang, Xuanming Zhang, Zhiyuan Liu, Maosong Sun, Jianbin Jin
From Symbols to Embeddings: A Tale of Two Representations in Computational Social Science. J. Soc. Comput. 2 (2) (2021)
Tianchi Yang, Linmei Hu, Luhao Zhang, Chuan Shi, Cheng Yang, Nan Duan, Ming Zhou
Tree-Capsule: Tree-Structured Capsule Network for Improving Relation Extraction. PAKDD (3) (2021)
YuanXin Zhuang, Chuan Shi, Cheng Yang, Fuzhen Zhuang, Yangqiu Song
Semantic-Specific Hierarchical Alignment Network for Heterogeneous Graph Adaptation. ECML/PKDD (2) (2021)
Cheng Yang, Jiawei Liu, Chuan Shi
Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework. CoRR (2021)
Chen Li, Yuanfu Lu, Wei Wang, Chuan Shi, Ruobing Xie, Haili Yang, Cheng Yang, Xu Zhang, Leyu Lin
Package Recommendation with Intra- and Inter-Package Attention Networks. SIGIR (2021)
Linmei Hu, Mengmei Zhang, Shaohua Li, Jinghan Shi, Chuan Shi, Cheng Yang, Zhiyuan Liu
Text-Graph Enhanced Knowledge Graph Representation Learning. Frontiers Artif. Intell. 4 (2021)
Xiao Wang, Hongrui Liu, Chuan Shi, Cheng Yang
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration. NeurIPS (2021)
Changhe Song, Cheng Yang, Huimin Chen, Cunchao Tu, Zhiyuan Liu, Maosong Sun
CED: Credible Early Detection of Social Media Rumors. IEEE Trans. Knowl. Data Eng. 33 (8) (2021)
Xiao Wang, Hongrui Liu, Chuan Shi, Cheng Yang
Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration. CoRR (2021)
Huimin Chen, Cheng Yang, Xuanming Zhang, Zhiyuan Liu, Maosong Sun, Jianbin Jin
From Symbols to Embeddings: A Tale of Two Representations in Computational Social Science. CoRR (2021)
Ganqu Cui, Jie Zhou, Cheng Yang, Zhiyuan Liu
Adaptive Graph Encoder for Attributed Graph Embedding. CoRR (2020)
Jie Zhou, Xin Lv, Cheng Yang, Zhiyuan Liu, Juanzi Li, Maosong Sun
KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion. CoRR (2020)
Xiaoyuan Yi, Ruoyu Li, Cheng Yang, Wenhao Li, Maosong Sun
MixPoet: Diverse Poetry Generation via Learning Controllable Mixed Latent Space. CoRR (2020)
Jie Zhou, Ganqu Cui, Shengding Hu, Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li, Maosong Sun
Graph neural networks: A review of methods and applications. AI Open 1 (2020)
Xiaoyuan Yi, Ruoyu Li, Cheng Yang, Wenhao Li, Maosong Sun
MixPoet: Diverse Poetry Generation via Learning Controllable Mixed Latent Space. AAAI (2020)
Linmei Hu, Siyong Xu, Chen Li, Cheng Yang, Chuan Shi, Nan Duan, Xing Xie, Ming Zhou
Graph Neural News Recommendation with Unsupervised Preference Disentanglement. ACL (2020)
Yujia Qin, Fanchao Qi, Sicong Ouyang, Zhiyuan Liu, Cheng Yang, Yasheng Wang, Qun Liu, Maosong Sun
Improving Sequence Modeling Ability of Recurrent Neural Networks via Sememes. IEEE ACM Trans. Audio Speech Lang. Process. 28 (2020)
Linmei Hu, Chen Li, Chuan Shi, Cheng Yang, Chao Shao
Graph neural news recommendation with long-term and short-term interest modeling. Inf. Process. Manag. 57 (2) (2020)
Ganqu Cui, Jie Zhou, Cheng Yang, Zhiyuan Liu
Adaptive Graph Encoder for Attributed Graph Embedding. KDD (2020)
Ayana, Yun Chen, Cheng Yang, Zhiyuan Liu, Maosong Sun
Reinforced Zero-Shot Cross-Lingual Neural Headline Generation. IEEE ACM Trans. Audio Speech Lang. Process. 28 (2020)
Cheng Yang, Jian Tang, Maosong Sun, Ganqu Cui, Zhiyuan Liu
Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks. IJCAI (2019)
Jie Zhou, Xu Han, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li, Maosong Sun
GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification. CoRR (2019)
Yujia Qin, Fanchao Qi, Sicong Ouyang, Zhiyuan Liu, Cheng Yang, Yasheng Wang, Qun Liu, Maosong Sun
Enhancing Recurrent Neural Networks with Sememes. CoRR (2019)
Huimin Chen, Xiaoyuan Yi, Maosong Sun, Wenhao Li, Cheng Yang, Zhipeng Guo
Sentiment-Controllable Chinese Poetry Generation. IJCAI (2019)
Jie Zhou, Xu Han, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li, Maosong Sun
GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification. ACL (1) (2019)
Linmei Hu, Chen Li, Chuan Shi, Cheng Yang, Chao Shao
Graph Neural News Recommendation with Long-term and Short-term Interest Modeling. CoRR (2019)
Linmei Hu, Luhao Zhang, Chuan Shi, Liqiang Nie, Weili Guan, Cheng Yang
Improving Distantly-Supervised Relation Extraction with Joint Label Embedding. EMNLP/IJCNLP (1) (2019)
Zhipeng Guo, Xiaoyuan Yi, Maosong Sun, Wenhao Li, Cheng Yang, Jiannan Liang, Huimin Chen, Yuhui Zhang, Ruoyu Li
Jiuge: A Human-Machine Collaborative Chinese Classical Poetry Generation System. ACL (3) (2019)
Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Maosong Sun, Zhichong Fang, Bo Zhang, Leyu Lin
COSINE: Compressive Network Embedding on Large-scale Information Networks. CoRR (2018)
Changhe Song, Cunchao Tu, Cheng Yang, Zhiyuan Liu, Maosong Sun
CED: Credible Early Detection of Social Media Rumors. CoRR (2018)
Cheng Yang, Maosong Sun, Xiaoyuan Yi, Wenhao Li
Stylistic Chinese Poetry Generation via Unsupervised Style Disentanglement. EMNLP (2018)
Shiqi Shen, Yun Chen, Cheng Yang, Zhiyuan Liu, Maosong Sun
Zero-Shot Cross-Lingual Neural Headline Generation. IEEE ACM Trans. Audio Speech Lang. Process. 26 (12) (2018)
Xiangkai Zeng, Cheng Yang, Cunchao Tu, Zhiyuan Liu, Maosong Sun
Chinese LIWC Lexicon Expansion via Hierarchical Classification of Word Embeddings with Sememe Attention. AAAI (2018)
Jie Zhou, Ganqu Cui, Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Maosong Sun
Graph Neural Networks: A Review of Methods and Applications. CoRR (2018)
Cheng Yang, Maosong Sun, Haoran Liu, Shiyi Han, Zhiyuan Liu, Huanbo Luan
Neural Diffusion Model for Microscopic Cascade Prediction. CoRR (2018)
Cheng Yang, Maosong Sun, Wayne Xin Zhao, Zhiyuan Liu, Edward Y. Chang
A Neural Network Approach to Jointly Modeling Social Networks and Mobile Trajectories. ACM Trans. Inf. Syst. 35 (4) (2017)
Cheng Yang, Maosong Sun, Zhiyuan Liu, Cunchao Tu
Fast Network Embedding Enhancement via High Order Proximity Approximation. IJCAI (2017)
Cheng Yang, Maosong Sun, Wayne Xin Zhao, Zhiyuan Liu, Edward Y. Chang
A Neural Network Approach to Joint Modeling Social Networks and Mobile Trajectories. CoRR (2016)
Cheng Yang, Zhiyuan Liu, Deli Zhao, Maosong Sun, Edward Y. Chang
Network Representation Learning with Rich Text Information. IJCAI (2015)
Cheng Yang, Zhiyuan Liu
Comprehend DeepWalk as Matrix Factorization. CoRR (2015)