HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding. - Yu He; Yangqiu Song; Jianxin Li 002; Cheng Ji 001; Jian Peng 001; Hao Peng 001 (CIKM, 2019)

ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network. - Xingcheng Fu; Jianxin Li 002; Jia Wu 001; Qingyun Sun; Cheng Ji 001; Senzhang Wang; Jiajun Tan; Hao Peng 001; Philip S. Yu (ICDM, 2021)

RWNE: A Scalable Random-Walk based Network Embedding Framework with Personalized Higher-order Proximity Preserved. - Jianxin Li 002; Cheng Ji 001; Hao Peng 001; Yu He; Yangqiu Song; Xinmiao Zhang 004; Fanzhang Peng (J. Artif. Intell. Res., 2021)

Graph Structure Learning with Variational Information Bottleneck. - Qingyun Sun; Jianxin Li 002; Hao Peng 001; Jia Wu 001; Xingcheng Fu; Cheng Ji 001; Philip S. Yu (AAAI, 2022)

Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing. - Qingyun Sun; Jianxin Li 002; Haonan Yuan; Xingcheng Fu; Hao Peng 001; Cheng Ji 001; Qian Li 033; Philip S. Yu (CIKM, 2022)

MuchSUM: Multi-channel Graph Neural Network for Extractive Summarization. - Qianren Mao; Hongdong Zhu; Junnan Liu; Cheng Ji 001; Hao Peng 001; Jianxin Li 002; Lihong Wang; Zheng Wang 001 (SIGIR, 2022)

Curvature Graph Generative Adversarial Networks. - Jianxin Li 002; Xingcheng Fu; Qingyun Sun; Cheng Ji 001; Jiajun Tan; Jia Wu 001; Hao Peng 001 (WWW, 2022)

Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction. - Qian Li 033; Shu Guo; Cheng Ji 001; Xutan Peng; Shiyao Cui; Jianxin Li 002; Lihong Wang (ACL (Findings), 2023)

Multi-Modal Knowledge Graph Transformer Framework for Multi-Modal Entity Alignment. - Qian Li 033; Cheng Ji 001; Shu Guo; Zhaoji Liang; Lihong Wang; Jianxin Li 002 (EMNLP (Findings), 2023)

Does Graph Distillation See Like Vision Dataset Counterpart? - Beining Yang; Kai Wang 036; Qingyun Sun; Cheng Ji 001; Xingcheng Fu; Hao Tang 005; Yang You 001; Jianxin Li 002 (NeurIPS, 2023)

Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization. - Haonan Yuan; Qingyun Sun; Xingcheng Fu; Ziwei Zhang 001; Cheng Ji 001; Hao Peng 001; Jianxin Li 002 (NeurIPS, 2023)

Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. - Cheng Ji 001; Jianxin Li 002; Hao Peng 001; Jia Wu 001; Xingcheng Fu; Qingyun Sun; Philip S. Yu (WSDM, 2023)

Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment. - Qian Li 033; Shu Guo; Yangyifei Luo; Cheng Ji 001; Lihong Wang; Jiawei Sheng; Jianxin Li 002 (WWW, 2023)

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT. - Ce Zhou; Qian Li 033; Chen Li 046; Jun Yu; Yixin Liu 002; Guangjing Wang 001; Kai Zhang 039; Cheng Ji 001; Qiben Yan; Lifang He 001; Hao Peng 001; Jianxin Li 002; et al. (CoRR, 2023)

Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction. - Qian Li 033; Shu Guo; Cheng Ji 001; Xutan Peng; Shiyao Cui; Jianxin Li 002 (CoRR, 2023)

Adaptive curvature exploration geometric graph neural network. - Xingcheng Fu; Jianxin Li 002; Jia Wu 001; Jiawen Qin; Qingyun Sun; Cheng Ji 001; Senzhang Wang; Hao Peng 001; Philip S. Yu (Knowl. Inf. Syst., 2023)

Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems. - Qian Li 033; Jianxin Li 002; Lihong Wang; Cheng Ji 001; Yiming Hei; Jiawei Sheng; Qingyun Sun; Shan Xue 001; Pengtao Xie (ACM Trans. Web, 2023)

Higher-order memory guided temporal random walk for dynamic heterogeneous network embedding. - Cheng Ji 001; Tao Zhao; Qingyun Sun; Xingcheng Fu; Jianxin Li 002 (Pattern Recognit., 2023)

ReGCL: Rethinking Message Passing in Graph Contrastive Learning. - Cheng Ji 001; Zixuan Huang; Qingyun Sun; Hao Peng 001; Xingcheng Fu; Qian Li 033; Jianxin Li 002 (AAAI, 2024)

L-APPLE: Language-agnostic Prototype Prefix Learning for Cross-lingual Event Detection. - Ziqin Zhu; Xutan Peng; Qian Li 033; Cheng Ji 001; Qingyun Sun; Jianxin Li 002 (CIKM, 2024)

Few-Shot Multimodal Named Entity Recognition Based on Mutlimodal Causal Intervention Graph. - Feihong Lu; Xiaocui Yang; Qian Li 033; Qingyun Sun; Ke Jiang; Cheng Ji 001; Jianxin Li 002 (LREC/COLING, 2024)

LLM-based Multi-Level Knowledge Generation for Few-shot Knowledge Graph Completion. - Qian Li 033; Zhuo Chen 007; Cheng Ji 001; Shiqi Jiang; Jianxin Li 002 (IJCAI, 2024)

Multi-Modal Inductive Framework for Text-Video Retrieval. - Qian Li 033; Yucheng Zhou 001; Cheng Ji 001; Feihong Lu; Jianian Gong; Shangguang Wang; Jianxin Li 002 (ACM Multimedia, 2024)

GC-Bench: An Open and Unified Benchmark for Graph Condensation. - Qingyun Sun; Ziying Chen; Beining Yang; Cheng Ji 001; Xingcheng Fu; Sheng Zhou 004; Hao Peng 001; Jianxin Li 002; Philip S. Yu (NeurIPS, 2024)

Dynamic Graph Information Bottleneck. - Haonan Yuan; Qingyun Sun; Xingcheng Fu; Cheng Ji 001; Jianxin Li 002 (WWW, 2024)

Uncertainty-Aware Relational Graph Neural Network for Few-Shot Knowledge Graph Completion. - Qian Li 033; Shu Guo; Yinjia Chen; Cheng Ji 001; Jiawei Sheng; Jianxin Li 002 (CoRR, 2024)

Variational Multi-Modal Hypergraph Attention Network for Multi-Modal Relation Extraction. - Qian Li 033; Cheng Ji 001; Shu Guo; Yong Zhao; Qianren Mao; Shangguang Wang; Yuntao Wei; Jianxin Li 002 (CoRR, 2024)

Triplet-aware graph neural networks for factorized multi-modal knowledge graph entity alignment. - Qian Li 033; Jianxin Li 002; Jia Wu 001; Xutan Peng; Cheng Ji 001; Hao Peng 001; Lihong Wang; Philip S. Yu (Neural Networks, 2024)

DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models. - Haonan Yuan; Qingyun Sun; Zhaonan Wang 005; Xingcheng Fu; Cheng Ji 001; Yongjian Wang; Bo Jin; Jianxin Li 002 (AAAI, 2025)

ST-GCond: Self-supervised and Transferable Graph Dataset Condensation. - Beining Yang; Qingyun Sun; Cheng Ji 001; Xingcheng Fu; Jianxin Li 002 (ICLR, 2025)

Graph Size-imbalanced Learning with Energy-guided Structural Smoothing. - Jiawen Qin; Pengfeng Huang; Qingyun Sun; Cheng Ji 001; Xingcheng Fu; Jianxin Li 002 (WSDM, 2025)

Bridging the Gap Between LLMs and Human Intentions: Progresses and Challenges in Instruction Understanding, Intention Reasoning, and Reliable Generation. - Zongyu Chang; Feihong Lu; Ziqin Zhu; Qian Li 033; Cheng Ji 001; Zhuo Chen 007; Yang Liu 165; Ruifeng Xu 001; Yangqiu Song; Shangguang Wang; Jianxin Li 002 (CoRR, 2025)