| 2025 | AAAI | VQ4DiT: Efficient Post-Training Vector Quantization for Diffusion Transformers. | Juncan Deng, Shuaiting Li, Zeyu Wang, Hong Gu, Kedong Xu, Kejie Huang |
| 2025 | AAAI | RAP-SR: RestorAtion Prior Enhancement in Diffusion Models for Realistic Image Super-Resolution. | Jiangang Wang, Qingnan Fan, Jinwei Chen, Hong Gu, Feng Huang, Wenqi Ren |
| 2025 | AAAI | Textualize Visual Prompt for Image Editing via Diffusion Bridge. | Pengcheng Xu, Qingnan Fan, Fei Kou, Shuai Qin, Hong Gu, Ruoyu Zhao, Charles Ling, Boyu Wang |
| 2025 | ACL | RealHiTBench: A Comprehensive Realistic Hierarchical Table Benchmark for Evaluating LLM-Based Table Analysis. | Pengzuo Wu, Yuhang Yang, Guangcheng Zhu, Chao Ye, Hong Gu, Xu Lu, Ruixuan Xiao, Bowen Bao, Yijing He, Liangyu Zha, Wentao Ye, Junbo Zhao, Haobo Wang |
| 2025 | CVPR | OSDFace: One-Step Diffusion Model for Face Restoration. | Jingkai Wang, Jue Gong, Lin Zhang, Zheng Chen, Xing Liu, Hong Gu, Yutong Liu, Yulun Zhang, Xiaokang Yang |
| 2025 | ICCV | ViM-VQ: Efficient Post-Training Vector Quantization for Visual Mamba. | Juncan Deng, Shuaiting Li, Zeyu Wang, Kedong Xu, Hong Gu, Kejie Huang |
| 2025 | ICCV | SSVQ: Unleashing the Potential of Vector Quantization with Sign-Splitting. | Shuaiting Li, Juncan Deng, Chengxuan Wang, Kedong Xu, Rongtao Deng, Hong Gu, Haibin Shen, Kejie Huang |
| 2025 | ICCV | CoMPaSS: Enhancing Spatial Understanding in Text-to-Image Diffusion Models. | Gaoyang Zhang, Bingtao Fu, Qingnan Fan, Qi Zhang, Runxing Liu, Hong Gu, Huaqi Zhang, Xinguo Liu |
| 2025 | ICML | Human Body Restoration with One-Step Diffusion Model and A New Benchmark. | Jue Gong, Jingkai Wang, Zheng Chen, Xin Liu, Hong Gu, Yulun Zhang, Xiaokang Yang |
| 2024 | ECCV | SAFNet: Selective Alignment Fusion Network for Efficient HDR Imaging. | Lingtong Kong, Bo Li, Yike Xiong, Hao Zhang, Hong Gu, Jinwei Chen |
| 2024 | ECCV | Mono-ViFI: A Unified Learning Framework for Self-supervised Single and Multi-frame Monocular Depth Estimation. | Jinfeng Liu, Lingtong Kong, Bo Li, Zerong Wang, Hong Gu, Jinwei Chen |
| 2024 | ECCV | FreeDiff: Progressive Frequency Truncation for Image Editing with Diffusion Models. | Wei Wu, Qingnan Fan, Shuai Qin, Hong Gu, Ruoyu Zhao, Antoni B. Chan |
| 2024 | IGARSS | A Multi-Frame Super-Resolution Imaging Method for Forward-Looking Scanning Radar. | Ke Tan, Shengqi Zhou, Xingyu Lu, Jianchao Yang, Hong Gu, Weimin Su |
| 2024 | IGARSS | RFI Source Localization for SAR: Method and Experiment based on GaoFen-3. | Shengqi Zhou, Guang Hu, Jingqiao Wang, Qi Chen, Junpeng Du, Xingyu Lu, Zhichuan Wang, Jianchao Yang, Ke Tan, Hong Gu, Weimin Su |
| 2024 | IGARSS | A New Method of Noise Frequency Modulated Interference Suppression for SAR. | Lunhao Duan, Xingyu Lu, Shengqi Zhou, Jianchao Yang, Ke Tan, Zheng Dai, Wenchao Yu, Wenbin Zhu, Hong Gu |
| 2023 | ICCV | Aggregating Feature Point Cloud for Depth Completion. | Zhu Yu, Zehua Sheng, Zili Zhou, Lun Luo, Si-Yuan Cao, Hong Gu, Huaqi Zhang, Hui-Liang Shen |
| 2022 | IGARSS | Deep Learning Models in Forest Mapping Using Multitemporal SAR and Optical Satellite Data. | Shaojia Ge, Hong Gu, Weimin Su, Jaan Praks, Anne Lnnqvist, Oleg Antropov |
| 2021 | IGARSS | A Super-Resolution Imaging Method for Real-Aperture Scanning Radar Based on MRF Prior Model. | Ke Tan, Jianchao Yang, Xingyu Lu, Weiming Su, Hong Gu |
| 2020 | ECCV | A Decoupled Learning Scheme for Real-World Burst Denoising from Raw Images. | Zhetong Liang, Shi Guo, Hong Gu, Huaqi Zhang, Lei Zhang |
| 2020 | IGARSS | Predicting Growing Stock Volume of Boreal Forests Using Very Long Time Series of Sentinel-1 Data. | Shaojia Ge, Erkki Tomppo, Yrj Rauste, Weimin Su, Hong Gu, Jaan Praks, Oleg Antropov |
| 2019 | IGARSS | Deep Recurrent Neural Networks for Land-Cover Classification Using Sentinel-1 INSAR Time Series. | Shaojia Ge, Oleg Antropov, Weimin Su, Hong Gu, Jaan Praks |
| 2017 | DocEng | Clinically Significant Information Extraction from Radiology Reports. | Nidhin Nandhakumar, Ehsan Sherkat, Evangelos E. Milios, Hong Gu, Michael Butler |
| 2017 | UIC | An optimal method for charging station location based on big data of the SOC and immune algorithm. | Jian Xiong, Hong Gu |
| 2011 | ICDM | Twin Gaussian Processes for Binary Classification. | Jianjun He, Hong Gu, Shaorui Jiang |
| 2010 | ICNC | A fast training method for OC-SVM based on the random sampling lemma. | Hongbo Wang, Guangzhou Zhao, Hong Gu |
| 2010 | MICCAI | Group-Wise Diffeomorphic Diffusion Tensor Image Registration. | Xiujuan Geng, Hong Gu, Wanyong Shin, Thomas J. Ross, Yihong Yang |
| 2009 | CIBCB | Predicting protein subcellular locations for Gram-negative bacteria using neural networks ensemble. | Junwei Ma, Wenqi Liu, Hong Gu |
| 2009 | CIBCB | A method for improving protein localization prediction from datasets with outliers. | Jiang Tian, Hong Gu, Wenqi Liu |
| 2009 | ISNN | Prediction of Chaotic Time Series Based on Neural Network with Legendre Polynomials. | Hongwei Wang, Hong Gu |
| 2007 | ISNN | Synchronization of Chaotic Systems Via the Laguerre-Polynomials-Based Neural Network. | Hongwei Wang, Hong Gu |
| 2006 | ISNN | Synchronization of Chaotic System with the Perturbation Via Orthogonal Function Neural Network. | Hongwei Wang, Hong Gu |
| 1999 | CATA | A web-based multiuser interface to medical information systems. | Rex E. Gantenbein, Hong Gu |