Cheng Ji

55 papers A* 20A 5Journal 27Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
IMMix: Class-Imbalanced node classification via prototypical selective mixup augmentation.
Pattern Recognit.
Jiawen Qin, Qingyun Sun, Lyujin Xu, Cheng Ji, Jianxin Li
2026 A* conf
Multi-Modal Fact Knowledge Generation for Imbalanced Cross-Source Entity Alignment.
AAAI
Qian Li, Cheng Ji, Zhaoji Liang, Yuzheng Zhang, Zhuo Chen, Siyuan Liang
2026 A* conf
SCo-Cloud: Satellite Constellation Collaboration for Cloud-Aware Onboard-Computed Imaging and Transmission.
AAAI
Jia Liu, Qian Li, Yongqi Li, Cheng Ji, Shangguang Wang
2025 J jnl
A comprehensive survey on pretrained foundation models: a history from BERT to ChatGPT.
Int. J. Mach. Learn. Cybern.
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
2025 J jnl
Bridging the Gap Between LLMs and Human Intentions: Progresses and Challenges in Instruction Understanding, Intention Reasoning, and Reliable Generation.
CoRR
Zongyu Chang, Feihong Lu, Ziqin Zhu, Qian Li, Cheng Ji, Zhuo Chen, Yang Liu, Ruifeng Xu, Yangqiu Song, Shangguang Wang, Jianxin Li
2025 A* conf
DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models.
AAAI
Haonan Yuan, Qingyun Sun, Zhaonan Wang, Xingcheng Fu, Cheng Ji, Yongjian Wang, Bo Jin, Jianxin Li
2025 A conf
Graph Size-imbalanced Learning with Energy-guided Structural Smoothing.
WSDM
Jiawen Qin, Pengfeng Huang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Jianxin Li
2025 A* conf
Meta-Knowledge Path Augmentation for Multi-Hop Reasoning on Satellite Commonsense Multi-Modal Knowledge Graphs.
ACM Multimedia
Qian Li, Siyuan Liang, Yuzheng Zhang, Cheng Ji, Zongyu Chang, Shangguang Wang
2025 A* conf
Multimodal Knowledge Retrieval-Augmented Iterative Alignment for Satellite Commonsense Conversation.
IJCAI
Qian Li, Xuchen Li, Zongyu Chang, Yuzheng Zhang, Cheng Ji, Shangguang Wang
2025 A* conf
OS-GCL: A One-Shot Learner in Graph Contrastive Learning.
IJCAI
Cheng Ji, Chenrui He, Qian Li, Qingyun Sun, Xingcheng Fu, Jianxin Li
2025 A* conf
ST-GCond: Self-supervised and Transferable Graph Dataset Condensation.
ICLR
Beining Yang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Jianxin Li
2025 A* conf
Variational Multi-Modal Hypergraph Attention Network for Multi-Modal Relation Extraction.
IJCAI
Qian Li, Cheng Ji, Shu Guo, Kun Peng, Qianren Mao, Shangguang Wang
2024 J jnl
DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models.
CoRR
Haonan Yuan, Qingyun Sun, Zhaonan Wang, Xingcheng Fu, Cheng Ji, Yongjian Wang, Bo Jin, Jianxin Li
2024 A* conf
Dynamic Graph Information Bottleneck.
WWW
Haonan Yuan, Qingyun Sun, Xingcheng Fu, Cheng Ji, Jianxin Li
2024 J jnl
Dynamic Graph Information Bottleneck.
CoRR
Haonan Yuan, Qingyun Sun, Xingcheng Fu, Cheng Ji, Jianxin Li
2024 — conf
Few-Shot Multimodal Named Entity Recognition Based on Mutlimodal Causal Intervention Graph.
LREC/COLING
Feihong Lu, Xiaocui Yang, Qian Li, Qingyun Sun, Ke Jiang, Cheng Ji, Jianxin Li
2024 A* conf
GC-Bench: An Open and Unified Benchmark for Graph Condensation.
NeurIPS
Qingyun Sun, Ziying Chen, Beining Yang, Cheng Ji, Xingcheng Fu, Sheng Zhou, Hao Peng, Jianxin Li, Philip S. Yu
2024 J jnl
GC-Bench: An Open and Unified Benchmark for Graph Condensation.
CoRR
Qingyun Sun, Ziying Chen, Beining Yang, Cheng Ji, Xingcheng Fu, Sheng Zhou, Hao Peng, Jianxin Li, Philip S. Yu
2024 J jnl
Graph Size-imbalanced Learning with Energy-guided Structural Smoothing.
CoRR
Jiawen Qin, Pengfeng Huang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Jianxin Li
2024 A conf
L-APPLE: Language-agnostic Prototype Prefix Learning for Cross-lingual Event Detection.
CIKM
Ziqin Zhu, Xutan Peng, Qian Li, Cheng Ji, Qingyun Sun, Jianxin Li
2024 A* conf
LLM-based Multi-Level Knowledge Generation for Few-shot Knowledge Graph Completion.
IJCAI
Qian Li, Zhuo Chen, Cheng Ji, Shiqi Jiang, Jianxin Li
2024 A* conf
Multi-Modal Inductive Framework for Text-Video Retrieval.
ACM Multimedia
Qian Li, Yucheng Zhou, Cheng Ji, Feihong Lu, Jianian Gong, Shangguang Wang, Jianxin Li
2024 A* conf
ReGCL: Rethinking Message Passing in Graph Contrastive Learning.
AAAI
Cheng Ji, Zixuan Huang, Qingyun Sun, Hao Peng, Xingcheng Fu, Qian Li, Jianxin Li
2024 J jnl
Triplet-aware graph neural networks for factorized multi-modal knowledge graph entity alignment.
Neural Networks
Qian Li, Jianxin Li, Jia Wu, Xutan Peng, Cheng Ji, Hao Peng, Lihong Wang, Philip S. Yu
2024 J jnl
Uncertainty-Aware Relational Graph Neural Network for Few-Shot Knowledge Graph Completion.
CoRR
Qian Li, Shu Guo, Yinjia Chen, Cheng Ji, Jiawei Sheng, Jianxin Li
2024 J jnl
Variational Multi-Modal Hypergraph Attention Network for Multi-Modal Relation Extraction.
CoRR
Qian Li, Cheng Ji, Shu Guo, Yong Zhao, Qianren Mao, Shangguang Wang, Yuntao Wei, Jianxin Li
2023 J jnl
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT.
CoRR
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
2023 J jnl
Adaptive curvature exploration geometric graph neural network.
Knowl. Inf. Syst.
Xingcheng Fu, Jianxin Li, Jia Wu, Jiawen Qin, Qingyun Sun, Cheng Ji, Senzhang Wang, Hao Peng, Philip S. Yu
2023 A* conf
Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment.
WWW
Qian Li, Shu Guo, Yangyifei Luo, Cheng Ji, Lihong Wang, Jiawei Sheng, Jianxin Li
2023 J jnl
Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment.
CoRR
Qian Li, Shu Guo, Yangyifei Luo, Cheng Ji, Lihong Wang, Jiawei Sheng, Jianxin Li
2023 A* conf
Does Graph Distillation See Like Vision Dataset Counterpart?
NeurIPS
Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li
2023 J jnl
Does Graph Distillation See Like Vision Dataset Counterpart?
CoRR
Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li
2023 — conf
Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction.
ACL (Findings)
Qian Li, Shu Guo, Cheng Ji, Xutan Peng, Shiyao Cui, Jianxin Li, Lihong Wang
2023 J jnl
Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction.
CoRR
Qian Li, Shu Guo, Cheng Ji, Xutan Peng, Shiyao Cui, Jianxin Li
2023 A* conf
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization.
NeurIPS
Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li
2023 J jnl
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization.
CoRR
Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li
2023 J jnl
Higher-order memory guided temporal random walk for dynamic heterogeneous network embedding.
Pattern Recognit.
Cheng Ji, Tao Zhao, Qingyun Sun, Xingcheng Fu, Jianxin Li
2023 — conf
Multi-Modal Knowledge Graph Transformer Framework for Multi-Modal Entity Alignment.
EMNLP (Findings)
Qian Li, Cheng Ji, Shu Guo, Zhaoji Liang, Lihong Wang, Jianxin Li
2023 J jnl
Multi-Modal Knowledge Graph Transformer Framework for Multi-Modal Entity Alignment.
CoRR
Qian Li, Cheng Ji, Shu Guo, Zhaoji Liang, Lihong Wang, Jianxin Li
2023 J jnl
Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems.
ACM Trans. Web
Qian Li, Jianxin Li, Lihong Wang, Cheng Ji, Yiming Hei, Jiawei Sheng, Qingyun Sun, Shan Xue, Pengtao Xie
2023 A conf
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning.
WSDM
Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu
2023 J jnl
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning.
CoRR
Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu
2022 A* conf
Curvature Graph Generative Adversarial Networks.
WWW
Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng
2022 J jnl
Curvature Graph Generative Adversarial Networks.
CoRR
Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng
2022 A* conf
Graph Structure Learning with Variational Information Bottleneck.
AAAI
Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu
2022 A* conf
MuchSUM: Multi-channel Graph Neural Network for Extractive Summarization.
SIGIR
Qianren Mao, Hongdong Zhu, Junnan Liu, Cheng Ji, Hao Peng, Jianxin Li, Lihong Wang, Zheng Wang
2022 A conf
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing.
CIKM
Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu
2022 J jnl
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing.
CoRR
Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu
2022 J jnl
Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems.
CoRR
Qian Li, Jianxin Li, Lihong Wang, Cheng Ji, Yiming Hei, Jiawei Sheng, Qingyun Sun, Shan Xue, Pengtao Xie
2021 A* conf
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network.
ICDM
Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu
2021 J jnl
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network.
CoRR
Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu
2021 J jnl
Graph Structure Learning with Variational Information Bottleneck.
CoRR
Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu
2021 J jnl
RWNE: A Scalable Random-Walk based Network Embedding Framework with Personalized Higher-order Proximity Preserved.
J. Artif. Intell. Res.
Jianxin Li, Cheng Ji, Hao Peng, Yu He, Yangqiu Song, Xinmiao Zhang, Fanzhang Peng
2019 A conf
HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding.
CIKM
Yu He, Yangqiu Song, Jianxin Li, Cheng Ji, Jian Peng, Hao Peng
2019 J jnl
HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding.
CoRR
Yu He, Yangqiu Song, Jianxin Li, Cheng Ji, Jian Peng, Hao Peng