Quick matting: A matting method based on pixel spread and propagation. - Yiyang Gu; Cheng Jin 001; Xiangyang Xue 001 (ICIP, 2010)

Graphine: A Dataset for Graph-aware Terminology Definition Generation. - Zequn Liu; Shukai Wang; Yiyang Gu; Ruiyi Zhang; Ming Zhang 004; Sheng Wang 012 (EMNLP (1), 2021)

GLCC: A General Framework for Graph-Level Clustering. - Wei Ju 001; Yiyang Gu; Binqi Chen; Gongbo Sun; Yifang Qin; Xingyuming Liu; Xiao Luo 001; Ming Zhang 004 (AAAI, 2023)

A Comprehensive Survey on Deep Graph Representation Learning. - Wei Ju 001; Zheng Fang 007; Yiyang Gu; Zequn Liu; Qingqing Long; Ziyue Qiao; Yifang Qin; Jianhao Shen; Fang Sun; Zhiping Xiao 001; Junwei Yang; Jingyang Yuan; et al. (CoRR, 2023)

EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education. - Yuhao Dan; Zhikai Lei; Yiyang Gu; Yong Li; Jianghao Yin; Jiaju Lin; Linhao Ye; Zhiyan Tie; Yougen Zhou; Yilei Wang; Aimin Zhou; Ze Zhou; et al. (CoRR, 2023)

Graph ODE with Factorized Prototypes for Modeling Complicated Interacting Dynamics. - Xiao Luo 001; Yiyang Gu; Huiyu Jiang; Jinsheng Huang; Wei Ju 001; Ming Zhang 004; Yizhou Sun (CoRR, 2023)

Unsupervised graph-level representation learning with hierarchical contrasts. - Wei Ju 001; Yiyang Gu; Xiao Luo 001; Yifan Wang 014; Haochen Yuan; Huasong Zhong; Ming Zhang 004 (Neural Networks, 2023)

PGODE: Towards High-quality System Dynamics Modeling. - Xiao Luo 001; Yiyang Gu; Huiyu Jiang; Hang Zhou 008; Jinsheng Huang; Wei Ju 001; Zhiping Xiao 001; Ming Zhang 004; Yizhou Sun (ICML, 2024)

Hypergraph-enhanced Dual Semi-supervised Graph Classification. - Wei Ju 001; Zhengyang Mao; Siyu Yi; Yifang Qin; Yiyang Gu; Zhiping Xiao 001; Yifan Wang 014; Xiao Luo 001; Ming Zhang 004 (ICML, 2024)

A Survey on Graph Neural Networks in Intelligent Transportation Systems. - Hourun Li; Yusheng Zhao; Zhengyang Mao; Yifang Qin; Zhiping Xiao 001; Jiaqi Feng; Yiyang Gu; Wei Ju 001; Xiao Luo 001; Ming Zhang 004 (CoRR, 2024)

PolyCF: Towards the Optimal Spectral Graph Filters for Collaborative Filtering. - Yifang Qin; Wei Ju 001; Xiao Luo 001; Yiyang Gu; Zhiping Xiao 001; Ming Zhang 004 (CoRR, 2024)

A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges. - Wei Ju 001; Siyu Yi; Yifan Wang 014; Zhiping Xiao 001; Zhengyang Mao; Hourun Li; Yiyang Gu; Yifang Qin; Nan Yin; Senzhang Wang; Xinwang Liu 002; Xiao Luo 001; et al. (CoRR, 2024)

Enhancing Depression-Diagnosis-Oriented Chat with Psychological State Tracking. - Yiyang Gu; Yougen Zhou; Qin Chen 001; Ningning Zhou; Jie Zhou 015; Aimin Zhou; Liang He 001 (CoRR, 2024)

Towards Graph Contrastive Learning: A Survey and Beyond. - Wei Ju 001; Yifan Wang 014; Yifang Qin; Zhengyang Mao; Zhiping Xiao 001; Junyu Luo 002; Junwei Yang; Yiyang Gu; Dongjie Wang; Qingqing Long; Siyu Yi; Xiao Luo 001; et al. (CoRR, 2024)

A Comprehensive Survey on Deep Graph Representation Learning. - Wei Ju 001; Zheng Fang 007; Yiyang Gu; Zequn Liu; Qingqing Long; Ziyue Qiao; Yifang Qin; Jianhao Shen; Fang Sun; Zhiping Xiao 001; Junwei Yang; Jingyang Yuan; et al. (Neural Networks, 2024)

Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation. - Xiao Luo 001; Daqing Wu; Yiyang Gu; Chong Chen 002; Luchen Liu; Jinwen Ma; Ming Zhang 004; Minghua Deng; Jianqiang Huang; Xian-Sheng Hua 001 (ACM Trans. Knowl. Discov. Data, 2024)

CLEAR: Cluster-Enhanced Contrast for Self-Supervised Graph Representation Learning. - Xiao Luo 001; Wei Ju 001; Meng Qu; Yiyang Gu; Chong Chen 002; Minghua Deng; Xian-Sheng Hua 001; Ming Zhang 004 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning. - Xiao Luo 001; Wei Ju 001; Yiyang Gu; Zhengyang Mao; Luchen Liu; Yuhui Yuan; Ming Zhang 004 (ACM Trans. Knowl. Discov. Data, 2024)

Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling. - Xiao Luo 001; Wei Ju 001; Yiyang Gu; Yifang Qin; Siyu Yi; Daqing Wu; Luchen Liu; Ming Zhang 004 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Toward the Random Multiaccess in SIoT: A Generalized-Deduplication-Based CRDSA Mechanism. - Yiyang Gu; Yunlai Xu; Bo Zhang 114; Ye Wang 002; Zhihua Yang (IEEE Internet Things J., 2024)

GALA: Graph Diffusion-Based Alignment With Jigsaw for Source-Free Domain Adaptation. - Junyu Luo 002; Yiyang Gu; Xiao Luo 001; Wei Ju 001; Zhiping Xiao 001; Yusheng Zhao; Jingyang Yuan; Ming Zhang 004 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Cluster-guided Contrastive Class-imbalanced Graph Classification. - Wei Ju 001; Zhengyang Mao; Siyu Yi; Yifang Qin; Yiyang Gu; Zhiping Xiao 001; Jianhao Shen; Ziyue Qiao; Ming Zhang 004 (AAAI, 2025)

MATE: Masked optimal transport with dynamic selection for partial label graph learning. - Yiyang Gu; Binqi Chen; Zihao Chen; Ziyue Qiao; Xiao Luo 001; Junyu Luo 002; Zhiping Xiao 001; Wei Ju 001; Ming Zhang 004 (Artif. Intell., 2025)

GPS: graph contrastive learning via multi-scale augmented views from adversarial pooling. - Wei Ju 001; Yiyang Gu; Zhengyang Mao; Ziyue Qiao; Yifang Qin; Xiao Luo 001; Hui Xiong 001; Ming Zhang 004 (Sci. China Inf. Sci., 2025)

Large Language Model Agent: A Survey on Methodology, Applications and Challenges. - Junyu Luo 002; Weizhi Zhang; Ye Yuan; Yusheng Zhao; Junwei Yang; Yiyang Gu; Bohan Wu; Binqi Chen; Ziyue Qiao; Qingqing Long; Rongcheng Tu; Xiao Luo 001; et al. (CoRR, 2025)

VeriFact: Enhancing Long-Form Factuality Evaluation with Refined Fact Extraction and Reference Facts. - Xin Liu; Lechen Zhang; Sheza Munir; Yiyang Gu; Lu Wang 008 (CoRR, 2025)

Long-Term Decision-Optimal Access Mechanism in the Large-Scale Satellite Network: A Multiagent Reinforcement Learning Approach. - Bo Zhang 114; Yiyang Gu; Ye Wang 002; Zhihua Yang (IEEE Internet Things J., 2025)

PolyCF: Towards Optimal Spectral Graph Filters for Collaborative Filtering. - Yifang Qin; Wei Ju 001; Yiyang Gu; Ziyue Qiao; Zhiping Xiao 001; Ming Zhang 004 (ACM Trans. Inf. Syst., 2025)