Ji, Cheng

15 publications

AAAI 2025 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

AAAI 2025 Improving Model Probability Calibration by Integration of Large Data Sources with Biased Labels Renat Sergazinov, Richard Chen, Cheng Ji, Jing Wu, Daniel Cociorva, Hakan Brunzell

IJCAI 2025 Multimodal Knowledge Retrieval-Augmented Iterative Alignment for Satellite Commonsense Conversation Qian Li, Xuchen Li, Zongyu Chang, Yuzheng Zhang, Cheng Ji, Shangguang Wang

IJCAI 2025 OS-GCL: A One-Shot Learner in Graph Contrastive Learning Cheng Ji, Chenrui He, Qian Li, Qingyun Sun, Xingcheng Fu, Jianxin Li

ICLR 2025 ST-GCond: Self-Supervised and Transferable Graph Dataset Condensation Beining Yang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Jianxin Li

IJCAI 2025 Variational Multi-Modal Hypergraph Attention Network for Multi-Modal Relation Extraction Qian Li, Cheng Ji, Shu Guo, Kun Peng, Qianren Mao, Shangguang Wang

NeurIPS 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

IJCAI 2024 LLM-Based Multi-Level Knowledge Generation for Few-Shot Knowledge Graph Completion Qian Li, Zhuo Chen, Cheng Ji, Shiqi Jiang, Jianxin Li

AAAI 2024 ReGCL: Rethinking Message Passing in Graph Contrastive Learning Cheng Ji, Zixuan Huang, Qingyun Sun, Hao Peng, Xingcheng Fu, Qian Li, Jianxin Li

AAAI 2024 SwitchTab: Switched Autoencoders Are Effective Tabular Learners Jing Wu, Suiyao Chen, Qi Zhao, Renat Sergazinov, Chen Li, Shengjie Liu, Chongchao Zhao, Tianpei Xie, Hanqing Guo, Cheng Ji, Daniel Cociorva, Hakan Brunzell

NeurIPSW 2024 TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Suiyao Chen, Jing Wu, Yunxiao Wang, Cheng Ji, Tianpei Xie, Daniel Cociorva, Michael Sharps, Cecile Levasseur, Hakan Brunzell

NeurIPS 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

NeurIPS 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

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

JAIR 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