Cheng, Hong

33 publications

ICLR 2026 Beyond Structure: Invariant Crystal Property Prediction with Pseudo-Particle Ray Diffraction Bin Cao, Yang Liu, Longhan Zhang, Yifan Wu, Zhixun Li, Yuyu Luo, Hong Cheng, Yang Ren, Tongyi Zhang

ICLR 2026 NextQuill: Causal Preference Modeling for Enhancing LLM Personalization Xiaoyan Zhao, Juntao You, Yang Zhang, Wenjie Wang, Hong Cheng, Fuli Feng, See-Kiong Ng, Tat-Seng Chua

ICLR 2026 Task-Adaptive Parameter-Efficient Fine-Tuning for Weather Foundation Models Shilei Cao, Hehai Lin, Jiashun Cheng, Yang Liu, Guowen Li, Xuehe Wang, Juepeng Zheng, Haoyuan Liang, Meng Jin, Chengwei Qin, Hong Cheng, Haohuan Fu

ICLR 2026 TianQuan-S2S: A Subseasonal-to-Seasonal Global Weather Model via Incorporate Climatology State Guowen Li, Xintong Liu, Yang Liu, Mengxuan Chen, Shilei Cao, Xuehe Wang, Juepeng Zheng, Jinxiao Zhang, Haoyuan Liang, Lixian Zhang, Jiuke Wang, Meng Jin, Hong Cheng, Haohuan Fu

ICML 2025 Does Graph Prompt Work? a Data Operation Perspective with Theoretical Analysis Qunzhong Wang, Xiangguo Sun, Hong Cheng

IJCAI 2025 Efficient Constraint-Based Window Causal Graph Discovery in Time Series with Multiple Time Lags Yewei Xia, Yixin Ren, Hong Cheng, Hao Zhang, Jihong Guan, Minchuan Xu, Shuigeng Zhou

ICML 2025 IBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck Tian Bian, Yifan Niu, Chaohao Yuan, Chengzhi Piao, Bingzhe Wu, Long-Kai Huang, Yu Rong, Tingyang Xu, Hong Cheng, Jia Li

CVPR 2025 MExD: An Expert-Infused Diffusion Model for Whole-Slide Image Classification Jianwei Zhao, Xin Li, Fan Yang, Qiang Zhai, Ao Luo, Yang Zhao, Hong Cheng, Huazhu Fu

NeurIPS 2025 Non-Stationary Equivariant Graph Neural Networks for Physical Dynamics Simulation Chaohao Yuan, Maoji Wen, Ercan Engin Kuruoglu, Yang Liu, Jia Li, Tingyang Xu, Deli Zhao, Hong Cheng, Yu Rong

ICML 2025 When Do LLMs Help with Node Classification? a Comprehensive Analysis Xixi Wu, Yifei Shen, Fangzhou Ge, Caihua Shan, Yizhu Jiao, Xiangguo Sun, Hong Cheng

IJCAI 2024 A Survey of Graph Meets Large Language Model: Progress and Future Directions Yuhan Li, Zhixun Li, Peisong Wang, Jia Li, Xiangguo Sun, Hong Cheng, Jeffrey Xu Yu

IJCAI 2024 All in One: Multi-Task Prompting for Graph Neural Networks (Extended Abstract) Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan

NeurIPS 2024 Can Graph Learning Improve Planning in LLM-Based Agents? Xixi Wu, Yifei Shen, Caihua Shan, Kaitao Song, Siwei Wang, Bohang Zhang, Jiarui Feng, Hong Cheng, Wei Chen, Yun Xiong, Dongsheng Li

ECCV 2024 FocusDiffuser: Perceiving Local Disparities for Camouflaged Object Detection Jianwei Zhao, Xin Li, Fan Yang, Qiang Zhai, Ao Luo, Zhicheng Jiao, Hong Cheng

NeurIPS 2024 ProG: A Graph Prompt Learning Benchmark Chenyi Zi, Haihong Zhao, Xiangguo Sun, Yiqing Lin, Hong Cheng, Jia Li

ICLR 2024 Protein Multimer Structure Prediction via Prompt Learning Ziqi Gao, Xiangguo Sun, Zijing Liu, Yu Li, Hong Cheng, Jia Li

NeurIPS 2021 Deconvolutional Networks on Graph Data Jia Li, Jiajin Li, Yang Liu, Jianwei Yu, Yueting Li, Hong Cheng

CVPR 2021 Mutual Graph Learning for Camouflaged Object Detection Qiang Zhai, Xin Li, Fan Yang, Chenglizhao Chen, Hong Cheng, Deng-Ping Fan

CVPR 2021 Probabilistic Model Distillation for Semantic Correspondence Xin Li, Deng-Ping Fan, Fan Yang, Ao Luo, Hong Cheng, Zicheng Liu

ICCV 2021 Uncertainty-Guided Transformer Reasoning for Camouflaged Object Detection Fan Yang, Qiang Zhai, Xin Li, Rui Huang, Ao Luo, Hong Cheng, Deng-Ping Fan

ECCV 2020 Cascade Graph Neural Networks for RGB-D Salient Object Detection Ao Luo, Xin Li, Fan Yang, Zhicheng Jiao, Hong Cheng, Siwei Lyu

NeurIPS 2020 Dirichlet Graph Variational Autoencoder Jia Li, Jianwei Yu, Jiajin Li, Honglei Zhang, Kangfei Zhao, Yu Rong, Hong Cheng, Junzhou Huang

AAAI 2020 Hybrid Graph Neural Networks for Crowd Counting Ao Luo, Fan Yang, Xin Li, Dong Nie, Zhicheng Jiao, Shangchen Zhou, Hong Cheng

ECCV 2018 Contour Knowledge Transfer for Salient Object Detection Xin Li, Fan Yang, Hong Cheng, Wei Liu, Dinggang Shen

AAAI 2018 Multi-Scale Bidirectional FCN for Object Skeleton Extraction Fan Yang, Xin Li, Hong Cheng, Yuxiao Guo, Leiting Chen, Jianping Li

NeurIPS 2017 Accelerated First-Order Methods for Geodesically Convex Optimization on Riemannian Manifolds Yuanyuan Liu, Fanhua Shang, James Cheng, Hong Cheng, Licheng Jiao

CVPR 2017 Object-Aware Dense Semantic Correspondence Fan Yang, Xin Li, Hong Cheng, Jianping Li, Leiting Chen

IJCAI 2015 Robust Kernel Dictionary Learning Using a Whole Sequence Convergent Algorithm Huaping Liu, Jie Qin, Hong Cheng, Fuchun Sun

ICCVW 2015 Sparse Subspace Clustering for Incomplete Images Xiao Wen, Linbo Qiao, Shiqian Ma, Wei Liu, Hong Cheng

NeurIPS 2014 Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion Yuanyuan Liu, Fanhua Shang, Wei Fan, James Cheng, Hong Cheng

UAI 2014 Nuclear Norm Regularized Least Squares Optimization on Grassmannian Manifolds Yuanyuan Liu, Fanhua Shang, Hong Cheng, James Cheng

ICCV 2009 Sparsity Induced Similarity Measure for Label Propagation Hong Cheng, Zicheng Liu, Jie Yang

CVPR 2008 A Deformable Local Image Descriptor Hong Cheng, Zicheng Liu, Nanning Zheng, Jie Yang