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ORCIDCheng Ji 0001
Person information
- affiliation: Beihang University, Beijing, China
Other persons with the same name
- Cheng Ji — disambiguation page
- Cheng Ji 0002
![[0000-0002-2525-8070]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-2525-8070")
— Nanjing University of Science and Technology, Jiangsu, China (and 2 more) - Cheng Ji 0003 — Beijing University of Chemical Technology, Beijing, China
- Cheng Ji 0004 — Beijing Jinghang Research Institute of Computing and Communication, China
- Cheng Ji 0005 — Amazon
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2020 – today
- 2025
[c25]Haonan Yuan, Qingyun Sun, Zhaonan Wang, Xingcheng Fu, Cheng Ji, Yongjian Wang, Bo Jin, Jianxin Li:
DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models. AAAI 2025: 22272-22280- [c24]Beining Yang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Jianxin Li:
ST-GCond: Self-supervised and Transferable Graph Dataset Condensation. ICLR 2025 - [c23]Cheng Ji, Chenrui He, Qian Li, Qingyun Sun, Xingcheng Fu, Jianxin Li:
OS-GCL: A One-Shot Learner in Graph Contrastive Learning. IJCAI 2025: 2964-2972 - [c22]Qian Li, Cheng Ji, Shu Guo, Kun Peng, Qianren Mao, Shangguang Wang:
Variational Multi-Modal Hypergraph Attention Network for Multi-Modal Relation Extraction. IJCAI 2025: 8159-8167 - [c21]Qian Li, Xuchen Li, Zongyu Chang, Yuzheng Zhang, Cheng Ji, Shangguang Wang:
Multimodal Knowledge Retrieval-Augmented Iterative Alignment for Satellite Commonsense Conversation. IJCAI 2025: 8168-8176 - [c20]Jiawen Qin, Pengfeng Huang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Jianxin Li:
Graph Size-imbalanced Learning with Energy-guided Structural Smoothing. WSDM 2025: 457-465 - [i20]Zongyu Chang, Feihong Lu, Ziqin Zhu, Qian Li, Cheng Ji, Zhuo Chen, Yang Liu, Ruifeng Xu, Yangqiu Song, Shangguang Wang, Jianxin Li:
Bridging the Gap Between LLMs and Human Intentions: Progresses and Challenges in Instruction Understanding, Intention Reasoning, and Reliable Generation. CoRR abs/2502.09101 (2025) - 2024
- [j5]Qian Li, Jianxin Li, Jia Wu, Xutan Peng, Cheng Ji, Hao Peng, Lihong Wang, Philip S. Yu:
Triplet-aware graph neural networks for factorized multi-modal knowledge graph entity alignment. Neural Networks 179: 106479 (2024) - [c19]Cheng Ji, Zixuan Huang, Qingyun Sun, Hao Peng, Xingcheng Fu, Qian Li, Jianxin Li:
ReGCL: Rethinking Message Passing in Graph Contrastive Learning. AAAI 2024: 8544-8552 - [c18]Ziqin Zhu, Xutan Peng, Qian Li, Cheng Ji, Qingyun Sun, Jianxin Li:
L-APPLE: Language-agnostic Prototype Prefix Learning for Cross-lingual Event Detection. CIKM 2024: 3581-3590 - [c17]Feihong Lu, Xiaocui Yang, Qian Li, Qingyun Sun, Ke Jiang, Cheng Ji, Jianxin Li:
Few-Shot Multimodal Named Entity Recognition Based on Mutlimodal Causal Intervention Graph. LREC/COLING 2024: 7208-7219 - [c16]Qian Li, Zhuo Chen, Cheng Ji, Shiqi Jiang, Jianxin Li:
LLM-based Multi-Level Knowledge Generation for Few-shot Knowledge Graph Completion. IJCAI 2024: 2135-2143 - [c15]Qian Li, Yucheng Zhou, Cheng Ji, Feihong Lu, Jianian Gong, Shangguang Wang, Jianxin Li:
Multi-Modal Inductive Framework for Text-Video Retrieval. ACM Multimedia 2024: 2389-2398 - [c14]Qingyun Sun, Ziying Chen, Beining Yang, Cheng Ji, Xingcheng Fu, Sheng Zhou, Hao Peng, Jianxin Li, Philip S. Yu:
GC-Bench: An Open and Unified Benchmark for Graph Condensation. NeurIPS 2024 - [c13]Haonan Yuan, Qingyun Sun, Xingcheng Fu, Cheng Ji, Jianxin Li:
Dynamic Graph Information Bottleneck. WWW 2024: 469-480 - [i19]Haonan Yuan, Qingyun Sun, Xingcheng Fu, Cheng Ji, Jianxin Li:
Dynamic Graph Information Bottleneck. CoRR abs/2402.06716 (2024) - [i18]Qian Li, Shu Guo, Yinjia Chen, Cheng Ji, Jiawei Sheng, Jianxin Li:
Uncertainty-Aware Relational Graph Neural Network for Few-Shot Knowledge Graph Completion. CoRR abs/2403.04521 (2024) - [i17]Qian Li, Cheng Ji, Shu Guo, Yong Zhao, Qianren Mao, Shangguang Wang, Yuntao Wei, Jianxin Li:
Variational Multi-Modal Hypergraph Attention Network for Multi-Modal Relation Extraction. CoRR abs/2404.12006 (2024) - [i16]Qingyun Sun, Ziying Chen, Beining Yang, Cheng Ji, Xingcheng Fu, Sheng Zhou, Hao Peng, Jianxin Li, Philip S. Yu:
GC-Bench: An Open and Unified Benchmark for Graph Condensation. CoRR abs/2407.00615 (2024) - [i15]Haonan Yuan, Qingyun Sun, Zhaonan Wang, Xingcheng Fu, Cheng Ji, Yongjian Wang, Bo Jin, Jianxin Li:
DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models. CoRR abs/2412.08160 (2024) - [i14]Jiawen Qin, Pengfeng Huang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Jianxin Li:
Graph Size-imbalanced Learning with Energy-guided Structural Smoothing. CoRR abs/2412.17591 (2024) - 2023
- [j4]Xingcheng Fu, Jianxin Li, Jia Wu, Jiawen Qin, Qingyun Sun, Cheng Ji, Senzhang Wang, Hao Peng, Philip S. Yu:
Adaptive curvature exploration geometric graph neural network. Knowl. Inf. Syst. 65(5): 2281-2304 (2023) - [j3]Cheng Ji, Tao Zhao, Qingyun Sun, Xingcheng Fu, Jianxin Li:
Higher-order memory guided temporal random walk for dynamic heterogeneous network embedding. Pattern Recognit. 143: 109766 (2023) - [j2]Qian Li, Jianxin Li, Lihong Wang, Cheng Ji, Yiming Hei, Jiawei Sheng, Qingyun Sun, Shan Xue, Pengtao Xie:
Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems. ACM Trans. Web 17(3): 20:1-20:26 (2023) - [c12]Qian Li, Shu Guo, Cheng Ji, Xutan Peng, Shiyao Cui, Jianxin Li, Lihong Wang:
Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction. ACL (Findings) 2023: 8982-8994 - [c11]Qian Li, Cheng Ji, Shu Guo, Zhaoji Liang, Lihong Wang, Jianxin Li:
Multi-Modal Knowledge Graph Transformer Framework for Multi-Modal Entity Alignment. EMNLP (Findings) 2023: 987-999 - [c10]Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li:
Does Graph Distillation See Like Vision Dataset Counterpart? NeurIPS 2023 - [c9]Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li:
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization. NeurIPS 2023 - [c8]Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu:
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. WSDM 2023: 922-930 - [c7]Qian Li, Shu Guo, Yangyifei Luo, Cheng Ji, Lihong Wang, Jiawei Sheng, Jianxin Li:
Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment. WWW 2023: 2499-2508 - [i13]Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu:
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. CoRR abs/2301.12104 (2023) - [i12]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:
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT. CoRR abs/2302.09419 (2023) - [i11]Qian Li, Shu Guo, Yangyifei Luo, Cheng Ji, Lihong Wang, Jiawei Sheng, Jianxin Li:
Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment. CoRR abs/2304.01563 (2023) - [i10]Qian Li, Shu Guo, Cheng Ji, Xutan Peng, Shiyao Cui, Jianxin Li:
Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction. CoRR abs/2306.11020 (2023) - [i9]Qian Li, Cheng Ji, Shu Guo, Zhaoji Liang, Lihong Wang, Jianxin Li:
Multi-Modal Knowledge Graph Transformer Framework for Multi-Modal Entity Alignment. CoRR abs/2310.06365 (2023) - [i8]Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li:
Does Graph Distillation See Like Vision Dataset Counterpart? CoRR abs/2310.09192 (2023) - [i7]Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li:
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization. CoRR abs/2311.11114 (2023) - 2022
- [c6]Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu:
Graph Structure Learning with Variational Information Bottleneck. AAAI 2022: 4165-4174 - [c5]Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu:
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing. CIKM 2022: 1848-1857 - [c4]Qianren Mao, Hongdong Zhu, Junnan Liu, Cheng Ji, Hao Peng, Jianxin Li, Lihong Wang, Zheng Wang:
MuchSUM: Multi-channel Graph Neural Network for Extractive Summarization. SIGIR 2022: 2617-2622 - [c3]Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng:
Curvature Graph Generative Adversarial Networks. WWW 2022: 1528-1537 - [i6]Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng:
Curvature Graph Generative Adversarial Networks. CoRR abs/2203.01604 (2022) - [i5]Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu:
Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing. CoRR abs/2208.08302 (2022) - [i4]Qian Li, Jianxin Li, Lihong Wang, Cheng Ji, Yiming Hei, Jiawei Sheng, Qingyun Sun, Shan Xue, Pengtao Xie:
Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems. CoRR abs/2211.08168 (2022) - 2021
- [j1]Jianxin Li, Cheng Ji, Hao Peng, Yu He, Yangqiu Song, Xinmiao Zhang, Fanzhang Peng:
RWNE: A Scalable Random-Walk based Network Embedding Framework with Personalized Higher-order Proximity Preserved. J. Artif. Intell. Res. 71: 237-263 (2021) - [c2]Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu:
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network. ICDM 2021: 111-120 - [i3]Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu:
ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network. CoRR abs/2110.07888 (2021) - [i2]Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu:
Graph Structure Learning with Variational Information Bottleneck. CoRR abs/2112.08903 (2021)
2010 – 2019
- 2019
- [c1]Yu He, Yangqiu Song, Jianxin Li, Cheng Ji, Jian Peng, Hao Peng:
HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding. CIKM 2019: 639-648 - [i1]Yu He, Yangqiu Song, Jianxin Li, Cheng Ji, Jian Peng, Hao Peng:
HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding. CoRR abs/1909.03228 (2019)
Coauthor Index
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