Wu, Gang

27 publications

AAAI 2025 Debiased All-in-One Image Restoration with Task Uncertainty Regularization Gang Wu, Junjun Jiang, Yijun Wang, Kui Jiang, Xianming Liu

ICCV 2025 SKALD: Learning-Based Shot Assembly for Coherent Multi-Shot Video Creation Chen-Yi Lu, Md Mehrab Tanjim, Ishita Dasgupta, Somdeb Sarkhel, Gang Wu, Saayan Mitra, Somali Chaterji

ICLRW 2025 Token-Level Adversarial Prompt Detection Based on Perplexity Measures and Contextual Information Zhengmian Hu, Gang Wu, Saayan Mitra, Ruiyi Zhang, Tong Sun, Heng Huang, Viswanathan Swaminathan

AutoML 2024 FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search Jordan Dotzel, Gang Wu, Andrew Li, Muhammad Umar, Yun Ni, Mohamed S Abdelfattah, Zhiru Zhang, Liqun Cheng, Martin G Dixon, Norman P Jouppi, Quoc V Le, Sheng Li

ECCV 2024 Improving Domain Generalization in Self-Supervised Monocular Depth Estimation via Stabilized Adversarial Training Yuanqi Yao, Gang Wu, Kui Jiang, Siao Liu, Jian Kuai, Xianming Liu, Junjun Jiang

ECCV 2024 LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer Ning Yu, Chia-chih Chen, Zeyuan Chen, Rui Meng, Gang Wu, Paul W Josel, Juan Carlos Niebles, Caiming Xiong, Ran Xu

AAAI 2024 Learning from History: Task-Agnostic Model Contrastive Learning for Image Restoration Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu

ICML 2024 Learning from Students: Applying T-Distributions to Explore Accurate and Efficient Formats for LLMs Jordan Dotzel, Yuzong Chen, Bahaa Kotb, Sushma Prasad, Gang Wu, Sheng Li, Mohamed S Abdelfattah, Zhiru Zhang

MLJ 2024 New Algorithms for Trace-Ratio Problem with Application to High-Dimension and Large-Sample Data Dimensionality Reduction Wenya Shi, Gang Wu

CVPRW 2024 The Third Monocular Depth Estimation Challenge Jaime Spencer, Fabio Tosi, Matteo Poggi, Ripudaman Singh Arora, Chris Russell, Simon Hadfield, Richard Bowden, GuangYuan Zhou, ZhengXin Li, Qiang Rao, YiPing Bao, Xiao Liu, Dohyeong Kim, Jinseong Kim, Myunghyun Kim, Mykola Lavreniuk, Rui Li, Qing Mao, Jiang Wu, Yu Zhu, Jinqiu Sun, Yanning Zhang, Suraj Patni, Aradhye Agarwal, Chetan Arora, Pihai Sun, Kui Jiang, Gang Wu, Jian Liu, Xianming Liu, Junjun Jiang, Xidan Zhang, Jianing Wei, Fangjun Wang, Zhiming Tan, Jiabao Wang, Albert Luginov, Muhammad Shahzad, Seyed Hosseini, Aleksander Trajcevski, James H. Elder

ICLR 2024 Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs Xiong Zhou, Xianming Liu, Feilong Zhang, Gang Wu, Deming Zhai, Junjun Jiang, Xiangyang Ji

NeurIPSW 2023 AutoDAN: Automatic and Interpretable Adversarial Attacks on Large Language Models Sicheng Zhu, Ruiyi Zhang, Bang An, Gang Wu, Joe Barrow, Zichao Wang, Furong Huang, Ani Nenkova, Tong Sun

CVPRW 2023 NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Lei Yu, Youwei Li, Xinpeng Li, Ting Jiang, Qi Wu, Mingyan Han, Wenjie Lin, Chengzhi Jiang, Jinting Luo, Haoqiang Fan, Shuaicheng Liu, Yucong Wang, Minjie Cai, Mingxi Li, Yuhang Zhang, Xianjun Fan, Yankai Sheng, Yanyu Mao, Nihao Zhang, Qian Wang, Mingjun Zheng, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Zhongbao Yang, Yan Wang, Erlin Pan, Qixuan Cai, Xinan Dai, Magauiya Zhussip, Nikolay Kalyazin, Dmitry Vyal, Xueyi Zou, Youliang Yan, Heaseo Chung, Jin Zhang, Gaocheng Yu, Feng Zhang, Hongbin Wang, Bohao Liao, Zhibo Du, Yu-Liang Wu, Gege Shi, Long Peng, Yang Wang, Yang Cao, Zhengjun Zha, Zhi-Kai Huang, Yi-Chung Chen, Yuan-Chun Chiang, Hao-Hsiang Yang, Wei-Ting Chen, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Xin Liu, Jiahao Pan, Hongyuan Yu, Weichen Yu, Lin Ge, Jiahua Dong, Yajun Zou, Zhuoyuan Wu, Binnan Han, Xiaolin Zhang, Heng Zhang, Xuanwu Yin, Kunlong Zuo, Weijian Deng, Hongjie Yuan, Zengtong Lu, Mingyu Ouyang, Wenzhuo Ma, Nian Liu, Hanyou Zheng, Yuantong Zhang, Junxi Zhang, Zhenzhong Chen, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Yurui Zhu, Xi Wang, Xueyang Fu, Zheng-Jun Zha, Daheng Yin, Mengyang Liu, Baijun Chen, Ao Li, Lei Luo, Kangjun Jin, Ce Zhu, Xiaoming Zhang, Chengxing Xie, Linze Li, Haiteng Meng, Tianlin Zhang, Tianrui Li, Xiaole Zhao, Zhao Zhang, Baiang Li, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Jiahuan Ren, Kang Hu, Jingpeng Shi, Zhijian Wu, Dingjiang Huang, Jinchen Zhu, Hui Li, Qianru Xv, Tianle Liu, Gang Wu, Junpeng Jiang, Xianming Liu, Junjun Jiang, Mingjian Zhang, Shizhuang Weng, Jing Hu, Chengxu Wu, Qinrui Fan, Chengming Feng, Ziwei Luo, Shu Hu, Siwei Lyu, Xi Wu, Xin Wang

ICML 2023 No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation Feilong Zhang, Xianming Liu, Shiyi Lin, Gang Wu, Xiong Zhou, Junjun Jiang, Xiangyang Ji

ICCV 2023 TripLe: Revisiting Pretrained Model Reuse and Progressive Learning for Efficient Vision Transformer Scaling and Searching Cheng Fu, Hanxian Huang, Zixuan Jiang, Yun Ni, Lifeng Nai, Gang Wu, Liqun Cheng, Yanqi Zhou, Sheng Li, Andrew Li, Jishen Zhao

AAAI 2022 Efficient Decentralized Stochastic Gradient Descent Method for Nonconvex Finite-Sum Optimization Problems Wenkang Zhan, Gang Wu, Hongchang Gao

CVPRW 2022 GLaMa: Joint Spatial and Frequency Loss for General Image Inpainting Zeyu Lu, Junjun Jiang, Junqin Huang, Gang Wu, Xianming Liu

CVPRW 2022 NTIRE 2022 Image Inpainting Challenge: Report Andrés Romero, Angela Castillo, Jose Abril-Nova, Radu Timofte, Ritwik Das, Sanchit Hira, Zhihong Pan, Min Zhang, Baopu Li, Dongliang He, Tianwei Lin, Fu Li, Chengyue Wu, Xianming Liu, Xinying Wang, Yi Yu, Jie Yang, Rengang Li, Yaqian Zhao, Zhenhua Guo, Baoyu Fan, Xiaochuan Li, Runze Zhang, Zeyu Lu, Junqin Huang, Gang Wu, Junjun Jiang, Jiayin Cai, Changlin Li, Xin Tao, Yu-Wing Tai, Xiaoqiang Zhou, Huaibo Huang

ICML 2022 One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes Aravind Reddy, Ryan A. Rossi, Zhao Song, Anup Rao, Tung Mai, Nedim Lipka, Gang Wu, Eunyee Koh, Nesreen Ahmed

MLJ 2022 Randomized Approximate Class-Specific Kernel Spectral Regression Analysis for Large-Scale Face Verification Ke Li, Gang Wu

ICCV 2021 HighlightMe: Detecting Highlights from Human-Centric Videos Uttaran Bhattacharya, Gang Wu, Stefano Petrangeli, Viswanathan Swaminathan, Dinesh Manocha

ICML 2020 Structured Policy Iteration for Linear Quadratic Regulator Youngsuk Park, Ryan Rossi, Zheng Wen, Gang Wu, Handong Zhao

ECML-PKDD 2019 Scalable Bid Landscape Forecasting in Real-Time Bidding Aritra Ghosh, Saayan Mitra, Somdeb Sarkhel, Jason Xie, Gang Wu, Viswanathan Swaminathan

ICML 2006 Concept Boundary Detection for Speeding up SVMs Navneet Panda, Edward Y. Chang, Gang Wu

CVPR 2006 Identifying Color in Motion in Video Sensors Gang Wu, Amir M. Rahimi, Edward Y. Chang, Kingshy Goh, Tomy Tsai, Ankur Jain, Yuan-Fang Wang

CVPR 2005 A Band-Weighted Landuse Classification Method for Multispectral Images Chunhong Pan, Gang Wu, Véronique Prinet, Qing Yang, Songde Ma

ICML 2003 Adaptive Feature-Space Conformal Transformation for Imbalanced-Data Learning Gang Wu, Edward Y. Chang