Gu, Ming

24 publications

AAAI 2025 FatesGS: Fast and Accurate Sparse-View Surface Reconstruction Using Gaussian Splatting with Depth-Feature Consistency Han Huang, Yulun Wu, Chao Deng, Ge Gao, Ming Gu, Yu-Shen Liu

NeurIPS 2025 Making Classic GNNs Strong Baselines Across Varying Homophily: A Smoothness–Generalization Perspective Ming Gu, Zhuonan Zheng, Sheng Zhou, Meihan Liu, Jiawei Chen, Qiaoyu Tan, Liangcheng Li, Jiajun Bu

AAAI 2025 Sparis: Neural Implicit Surface Reconstruction of Indoor Scenes from Sparse Views Yulun Wu, Han Huang, Wenyuan Zhang, Chao Deng, Ge Gao, Ming Gu, Yu-Shen Liu

ICML 2025 Towards a Unified Framework of Clustering-Based Anomaly Detection Zeyu Fang, Ming Gu, Sheng Zhou, Jiawei Chen, Qiaoyu Tan, Haishuai Wang, Jiajun Bu

NeurIPS 2025 Understanding and Enhancing Message Passing on Heterophilic Graphs via Compatibility Matrix Zhuonan Zheng, Yuanchen Bei, Zhiyao Zhou, Sheng Zhou, Yao Ma, Ming Gu, Hongjia Xu, Jiawei Chen, Jiajun Bu

NeurIPSW 2024 BindingGYM: A Large-Scale Mutational Dataset Toward Deciphering Protein-Protein Interactions Wei Lu, Jixian Zhang, Ming Gu, Shuangjia Zheng

AAAI 2024 GridFormer: Point-Grid Transformer for Surface Reconstruction Shengtao Li, Ge Gao, Yudong Liu, Yu-Shen Liu, Ming Gu

ECCV 2024 Implicit Filtering for Learning Neural Signed Distance Functions from 3D Point Clouds Shengtao Li, Ge Gao, Yudong Liu, Ming Gu, Yu-Shen Liu

AAAI 2024 NeuSurf: On-Surface Priors for Neural Surface Reconstruction from Sparse Input Views Han Huang, Yulun Wu, Junsheng Zhou, Ge Gao, Ming Gu, Yu-Shen Liu

AAAI 2024 Rethinking Propagation for Unsupervised Graph Domain Adaptation Meihan Liu, Zeyu Fang, Zhen Zhang, Ming Gu, Sheng Zhou, Xin Wang, Jiajun Bu

ACML 2023 State Value Generation with Prompt Learning and Self-Training for Low-Resource Dialogue State Tracking Ming Gu, Yan Yang, Chengcai Chen, Zhou Yu

ECCVW 2022 A Geometric-Relational Deep Learning Framework for BIM Object Classification Hairong Luo, Ge Gao, Han Huang, Ziyi Ke, Cheng Peng, Ming Gu

NeurIPS 2022 A2: Efficient Automated Attacker for Boosting Adversarial Training Zhuoer Xu, Guanghui Zhu, Changhua Meng, Shiwen Cui, Zhenzhe Ying, Weiqiang Wang, Ming Gu, Yihua Huang

NeurIPS 2022 Moderate-Fitting as a Natural Backdoor Defender for Pre-Trained Language Models Biru Zhu, Yujia Qin, Ganqu Cui, Yangyi Chen, Weilin Zhao, Chong Fu, Yangdong Deng, Zhiyuan Liu, Jingang Wang, Wei Wu, Maosong Sun, Ming Gu

CVPR 2022 XYLayoutLM: Towards Layout-Aware Multimodal Networks for Visually-Rich Document Understanding Zhangxuan Gu, Changhua Meng, Ke Wang, Jun Lan, Weiqiang Wang, Ming Gu, Liqing Zhang

AISTATS 2020 Efficient Spectrum-Revealing CUR Matrix Decomposition Cheng Chen, Ming Gu, Zhihua Zhang, Weinan Zhang, Yong Yu

NeurIPS 2019 Fast Low-Rank Metric Learning for Large-Scale and High-Dimensional Data Han Liu, Zhizhong Han, Yu-Shen Liu, Ming Gu

AAAI 2018 Energy-Efficient Automatic Train Driving by Learning Driving Patterns Jin Huang, Yue Gao, Sha Lu, Xibin Zhao, Yangdong Deng, Ming Gu

ICML 2017 An Efficient, Sparsity-Preserving, Online Algorithm for Low-Rank Approximation David Anderson, Ming Gu

IJCAI 2017 Vertex-Weighted Hypergraph Learning for Multi-View Object Classification Lifan Su, Yue Gao, Xibin Zhao, Hai Wan, Ming Gu, Jiaguang Sun

AISTATS 2015 Spectral Gap Error Bounds for Improving CUR Matrix Decomposition and the Nyström Method David G. Anderson, Simon S. Du, Michael W. Mahoney, Christopher Melgaard, Kunming Wu, Ming Gu

NeCo 2004 A Learning Rule for Local Synaptic Interactions Between Excitation and Shunting Inhibition Chun-Hui Mo, Ming Gu, Christof Koch

NeCo 2004 Predicting Axonal Response to Molecular Gradients with a Computational Model of Filopodial Dynamic Geoffrey J. Goodhill, Ming Gu, Jeffrey S. Urbach

NeurIPS 2001 Spectral Relaxation for K-Means Clustering Hongyuan Zha, Xiaofeng He, Chris Ding, Ming Gu, Horst D. Simon