Cheng Ji

According to our database, Cheng Ji authored at least 30 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Triplet-aware graph neural networks for factorized multi-modal knowledge graph entity alignment.

Qian Li, Jianxin Li, Jia Wu, Xutan Peng, Cheng Ji, Hao Peng, Lihong Wang, Philip S. Yu

Neural Networks, 2024

Graph Size-imbalanced Learning with Energy-guided Structural Smoothing.

Jiawen Qin, Pengfeng Huang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Jianxin Li

CoRR, 2024

DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models.

Haonan Yuan, Qingyun Sun, Zhaonan Wang, Xingcheng Fu, Cheng Ji, Yongjian Wang, Bo Jin, Jianxin Li

CoRR, 2024

Variational Multi-Modal Hypergraph Attention Network for Multi-Modal Relation Extraction.

Qian Li, Cheng Ji, Shu Guo, Yong Zhao, Qianren Mao, Shangguang Wang, Yuntao Wei, Jianxin Li

CoRR, 2024

Uncertainty-Aware Relational Graph Neural Network for Few-Shot Knowledge Graph Completion.

Qian Li, Shu Guo, Yinjia Chen, Cheng Ji, Jiawei Sheng, Jianxin Li

CoRR, 2024

Dynamic Graph Information Bottleneck.

Haonan Yuan, Qingyun Sun, Xingcheng Fu, Cheng Ji, Jianxin Li

Proceedings of the ACM on Web Conference 2024, 2024

GC-Bench: An Open and Unified Benchmark for Graph Condensation.

Qingyun Sun, Ziying Chen, Beining Yang, Cheng Ji, Xingcheng Fu, Sheng Zhou, Hao Peng, Jianxin Li, Philip S. Yu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Multi-Modal Inductive Framework for Text-Video Retrieval.

Qian Li, Yucheng Zhou, Cheng Ji, Feihong Lu, Jianian Gong, Shangguang Wang, Jianxin Li

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

LLM-based Multi-Level Knowledge Generation for Few-shot Knowledge Graph Completion.

Qian Li, Zhuo Chen, Cheng Ji, Shiqi Jiang, Jianxin Li

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Few-Shot Multimodal Named Entity Recognition Based on Mutlimodal Causal Intervention Graph.

Feihong Lu, Xiaocui Yang, Qian Li, Qingyun Sun, Ke Jiang, Cheng Ji, Jianxin Li

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

L-APPLE: Language-agnostic Prototype Prefix Learning for Cross-lingual Event Detection.

Ziqin Zhu, Xutan Peng, Qian Li, Cheng Ji, Qingyun Sun, Jianxin Li

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

ReGCL: Rethinking Message Passing in Graph Contrastive Learning.

Cheng Ji, Zixuan Huang, Qingyun Sun, Hao Peng, Xingcheng Fu, Qian Li, Jianxin Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Higher-order memory guided temporal random walk for dynamic heterogeneous network embedding.

Cheng Ji, Tao Zhao, Qingyun Sun, Xingcheng Fu, Jianxin Li

Pattern Recognit., November, 2023

Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems.

Qian Li, Jianxin Li, Lihong Wang, Cheng Ji, Yiming Hei, Jiawei Sheng, Qingyun Sun, Shan Xue, Pengtao Xie

ACM Trans. Web, August, 2023

Adaptive curvature exploration geometric graph neural network.

Xingcheng Fu, Jianxin Li, Jia Wu, Jiawen Qin, Qingyun Sun, Cheng Ji, Senzhang Wang, Hao Peng, Philip S. Yu

Knowl. Inf. Syst., May, 2023

Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction.

Qian Li, Shu Guo, Cheng Ji, Xutan Peng, Shiyao Cui, Jianxin Li

CoRR, 2023

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT.

Ce Zhou, Qian Li, Chen Li, Jun Yu, Yixin Liu, Guangjing Wang, Kai Zhang, Cheng Ji, Qiben Yan, Lifang He, Hao Peng, Jianxin Li, Jia Wu, Ziwei Liu, Pengtao Xie, Caiming Xiong, Jian Pei, Philip S. Yu, Lichao Sun

CoRR, 2023

Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment.

Qian Li, Shu Guo, Yangyifei Luo, Cheng Ji, Lihong Wang, Jiawei Sheng, Jianxin Li

Proceedings of the ACM Web Conference 2023, 2023

Unbiased and Efficient Self-Supervised Incremental Contrastive Learning.

Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization.

Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Does Graph Distillation See Like Vision Dataset Counterpart?

Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-Modal Knowledge Graph Transformer Framework for Multi-Modal Entity Alignment.

Qian Li, Cheng Ji, Shu Guo, Zhaoji Liang, Lihong Wang, Jianxin Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction.

Qian Li, Shu Guo, Cheng Ji, Xutan Peng, Shiyao Cui, Jianxin Li, Lihong Wang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Curvature Graph Generative Adversarial Networks.

Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

MuchSUM: Multi-channel Graph Neural Network for Extractive Summarization.

Qianren Mao, Hongdong Zhu, Junnan Liu, Cheng Ji, Hao Peng, Jianxin Li, Lihong Wang, Zheng Wang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing.

Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Graph Structure Learning with Variational Information Bottleneck.

Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

RWNE: A Scalable Random-Walk based Network Embedding Framework with Personalized Higher-order Proximity Preserved.

Jianxin Li, Cheng Ji, Hao Peng, Yu He, Yangqiu Song, Xinmiao Zhang, Fanzhang Peng

J. Artif. Intell. Res., 2021

ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network.

Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu

Proceedings of the IEEE International Conference on Data Mining, 2021

2019

HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding.

Yu He, Yangqiu Song, Jianxin Li, Cheng Ji, Jian Peng, Hao Peng

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019