Efficient incremental dynamic link prediction algorithms in social network. - Zhongbao Zhang; Jian Wen; Li Sun 008; Qiaoyu Deng; Sen Su; Pengyan Yao (Knowl. Based Syst., 2017)

MASTER: across Multiple social networks, integrate Attribute and STructure Embedding for Reconciliation. - Sen Su; Li Sun 008; Zhongbao Zhang; Gen Li; Jielun Qu (IJCAI, 2018)

DNA: Dynamic Social Network Alignment. - Li Sun 008; Zhongbao Zhang; Pengxin Ji; Jian Wen; Sen Su; Philip S. Yu (IEEE BigData, 2019)

Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters. - Yingtong Dou; Zhiwei Liu 001; Li Sun 008; Yutong Deng; Hao Peng 001; Philip S. Yu (CIKM, 2020)

Hyperbolic User Identity Linkage across Social Networks. - Feiyang Wang; Li Sun 008; Zhongbao Zhang (GLOBECOM, 2020)

Perfect: A Hyperbolic Embedding for Joint User and Community Alignment. - Li Sun 008; Zhongbao Zhang; Jiawei Zhang 001; Feiyang Wang; Yang Du; Sen Su; Philip S. Yu (ICDM, 2020)

BANANA: when Behavior ANAlysis meets social Network Alignment. - Fuxin Ren; Zhongbao Zhang; Jiawei Zhang 001; Sen Su; Li Sun 008; Guozhen Zhu; Congying Guo (IJCAI, 2020)

Graph-Bert: Only Attention is Needed for Learning Graph Representations. - Jiawei Zhang 001; Haopeng Zhang 005; Congying Xia; Li Sun 008 (CoRR, 2020)

Fair-Aware Competitive Event Influence Maximization in Social Networks. - Siyuan Gao; Zhongbao Zhang; Sen Su; Jian Wen; Li Sun 008 (IEEE Trans. Netw. Sci. Eng., 2020)

Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs. - Li Sun 008; Zhongbao Zhang; Jiawei Zhang 001; Feiyang Wang; Hao Peng 001; Sen Su; Philip S. Yu (AAAI, 2021)

Inductive and irregular dynamic network representation based on ordinary differential equations. - Huafeng Cao; Zhongbao Zhang; Li Sun 008; Zhi Wang (Knowl. Based Syst., 2021)

Reconciling Multiple Social Networks Effectively and Efficiently: An Embedding Approach. - Zhongbao Zhang; Li Sun 008; Sen Su; Jielun Qu; Gen Li (IEEE Trans. Knowl. Data Eng., 2021)

A Self-Supervised Mixed-Curvature Graph Neural Network. - Li Sun 008; Zhongbao Zhang; Junda Ye; Hao Peng 001; Jiawei Zhang 001; Sen Su; Philip S. Yu (AAAI, 2022)

A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning. - Li Sun 008; Junda Ye; Hao Peng 001; Philip S. Yu (CIKM, 2022)

DiriE: Knowledge Graph Embedding with Dirichlet Distribution. - Feiyang Wang; Zhongbao Zhang; Li Sun 008; Junda Ye; Yang Yan (WWW, 2022)

DeepBlue: Bi-Layered LSTM for Tweet popUlarity Estimation. - Zhongbao Zhang; Zichang Yin; Jian Wen; Li Sun 008; Sen Su; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2022)

Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces. - Li Sun 008; Junda Ye; Hao Peng 001; Feiyang Wang; Philip S. Yu (AAAI, 2023)

DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing. - Li Sun 008; Zhenhao Huang 001; Hua Wu; Junda Ye; Hao Peng 001; Zhengtao Yu 001; Philip S. Yu (ICDM, 2023)

CONGREGATE: Contrastive Graph Clustering in Curvature Spaces. - Li Sun 008; Feiyang Wang; Junda Ye; Hao Peng 001; Philip S. Yu (IJCAI, 2023)

SINCERE: Sequential Interaction Networks representation learning on Co-Evolving RiEmannian manifolds. - Junda Ye; Zhongbao Zhang; Li Sun 008; Yang Yan; Feiyang Wang; Fuxin Ren (WWW, 2023)

Contrastive Graph Clustering in Curvature Spaces. - Li Sun 008; Feiyang Wang; Junda Ye; Hao Peng 001; Philip S. Yu (CoRR, 2023)

Aligning Dynamic Social Networks: An Optimization Over Dynamic Graph Autoencoder. - Li Sun 008; Zhongbao Zhang; Feiyang Wang; Pengxin Ji; Jian Wen; Sen Su; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2023)

When Behavior Analysis Meets Social Network Alignment. - Zhongbao Zhang; Fuxin Ren; Jiawei Zhang 001; Sen Su; Yang Yan; Qian Wei; Li Sun 008; Guozhen Zhu; Congying Guo (IEEE Trans. Knowl. Data Eng., 2023)

MC2: Unsupervised Multiple Social Network Alignment. - Li Sun 008; Zhongbao Zhang; Gen Li; Pengxin Ji; Sen Su; Philip S. Yu (ACM Trans. Intell. Syst. Technol., 2023)

GroupAligner: A Deep Reinforcement Learning with Domain Adaptation for Social Group Alignment. - Li Sun 008; Yang Du; Shuai Gao; Junda Ye; Feiyang Wang; Fuxin Ren; Mingchen Liang; Yue Wang 129; Shuhai Wang (ACM Trans. Web, 2023)

A survey of graph neural network based recommendation in social networks. - Xiao Li; Li Sun 008; Mengjie Ling; Yan Peng (Neurocomputing, 2023)

MINING: Multi-Granularity Network Alignment Based on Contrastive Learning. - Zhongbao Zhang; Shuai Gao; Sen Su; Li Sun 008; Ruiyang Chen (IEEE Trans. Knowl. Data Eng., 2023)

Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning. - Li Sun 008; Zhenhao Huang 001; Zixi Wang; Feiyang Wang; Hao Peng 001; Philip S. Yu (AAAI, 2024)

Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis. - Zhe Liu 004; Xiang Huang; Jingyun Zhang; Zhifeng Hao; Li Sun 008; Hao Peng 001 (CIKM, 2024)

Table-Filling via Mean Teacher for Cross-domain Aspect Sentiment Triplet Extraction. - Kun Peng; Lei Jiang 003; Qian Li 033; Haoran Li 003; Xiaoyan Yu; Li Sun 008; Shuo Sun; Yanxian Bi; Hao Peng 001 (CIKM, 2024)

A Mixed-Curvature Graph Diffusion Model. - Yujie Wang; Shuo Zhang; Junda Ye; Hao Peng 001; Li Sun 008 (CIKM, 2024)

Adaptive Differentially Private Structural Entropy Minimization for Unsupervised Social Event Detection. - Zhiwei Yang; Yuecen Wei; Haoran Li 003; Qian Li 033; Lei Jiang 003; Li Sun 008; Xiaoyan Yu; Chunming Hu; Hao Peng 001 (CIKM, 2024)

DAMe: Personalized Federated Social Event Detection with Dual Aggregation Mechanism. - Xiaoyan Yu; Yifan Wei 001; Pu Li; Shuaishuai Zhou; Hao Peng 001; Li Sun 008; Liehuang Zhu; Philip S. Yu (CIKM, 2024)

LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering. - Li Sun 008; Zhenhao Huang 001; Hao Peng 001; Yujie Wang; Chunyang Liu; Philip S. Yu (ICML, 2024)

Spiking Graph Neural Network on Riemannian Manifolds. - Li Sun 008; Zhenhao Huang 001; Qiqi Wan; Hao Peng 001; Philip S. Yu (NeurIPS, 2024)

R-ODE: Ricci Curvature Tells When You Will be Informed. - Li Sun 008; Jingbin Hu; Mengjie Li; Hao Peng 001 (SIGIR, 2024)

RicciNet: Deep Clustering via A Riemannian Generative Model. - Li Sun 008; Jingbin Hu; Suyang Zhou; Zhenhao Huang 001; Junda Ye; Hao Peng 001; Zhengtao Yu 001; Philip S. Yu (WWW, 2024)

Contrastive sequential interaction network learning on co-evolving Riemannian spaces. - Li Sun 008; Junda Ye; Jiawei Zhang 001; Yong Yang; Mingsheng Liu; Feiyang Wang; Philip S. Yu (Int. J. Mach. Learn. Cybern., 2024)

Rcoco: contrastive collective link prediction across multiplex network in Riemannian space. - Li Sun 008; Mengjie Li; Yong Yang; Xiao Li; Lin Liu; Pengfei Zhang; Haohua Du (Int. J. Mach. Learn. Cybern., 2024)

Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics. - Li Sun 008; Ziheng Zhang; Zixi Wang; Yujie Wang; Qiqi Wan; Hao Li; Hao Peng 001; Philip S. Yu (AAAI, 2025)

Structural Entropy Guided Probabilistic Coding. - Xiang Huang; Hao Peng 001; Li Sun 008; Hui Lin; Chunyang Liu; Jiang Cao; Philip S. Yu (AAAI, 2025)

Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space. - Xiaoyan Yu; Yifan Wei 001; Shuaishuai Zhou; Zhiwei Yang; Li Sun 008; Hao Peng 001; Liehuang Zhu; Philip S. Yu (AAAI, 2025)

CLEAR: Cluster-Based Prompt Learning on Heterogeneous Graphs. - Feiyang Wang; Zhongbao Zhang; Junda Ye; Li Sun 008; Jianzhong Qi 004 (PAKDD (2), 2025)

RiemannGFM: Learning a Graph Foundation Model from Riemannian Geometry. - Li Sun 008; Zhenhao Huang 001; Suyang Zhou; Qiqi Wan; Hao Peng 001; Philip S. Yu (WWW, 2025)

PromptSED: An evolving topic-enhanced prompting framework for incremental social event detection. - Xiaoyan Yu; Jiaqian Ren; Lei Jiang 003; Hao Peng 001; Zhifeng Hao; Li Sun 008; Kun Peng; Liehuang Zhu; Philip S. Yu (Neural Networks, 2025)

Relational Prompt-Based Pre-Trained Language Models for Social Event Detection. - Pu Li; Xiaoyan Yu; Hao Peng 001; Yantuan Xian; Linqin Wang; Li Sun 008; Jingyun Zhang; Philip S. Yu (ACM Trans. Inf. Syst., 2025)

IsoSEL: Isometric Structural Entropy Learning for Deep Graph Clustering in Hyperbolic Space. - Li Sun 008; Zhenhao Huang 001; Yujie Wang; Hongbo Lv; Chunyang Liu; Hao Peng 001; Philip S. Yu (CoRR, 2025)

Unsupervised Graph Clustering with Deep Structural Entropy. - Jingyun Zhang; Hao Peng 001; Li Sun 008; Guanlin Wu; Chunyang Liu; Zhengtao Yu 001 (CoRR, 2025)

LIFEBench: Evaluating Length Instruction Following in Large Language Models. - Wei Zhang; Zhenhong Zhou; Junfeng Fang; Rongwu Xu; Kun Wang 056; Yuanhe Zhang; Rui Wang; Ge Zhang; Xinfeng Li; Li Sun 008; Lingjuan Lyu; Yang Liu; et al. (CoRR, 2025)