Wu, Chen

16 publications

WACV 2025 Dropout the High-Rate Downsampling: A Novel Design Paradigm for UHD Image Restoration Chen Wu, Ling Wang, Long Peng, Dianjie Lu, Zhuoran Zheng
ICLRW 2025 LLMs Know What to Drop: Self-Attention Guided KV Cache Eviction for Efficient Long-Context Inference Guangtao Wang, Shubhangi Upasani, Chen Wu, Darshan Gandhi, Jonathan Lingjie Li, Changran Hu, Bo Li, Urmish Thakker
CVPRW 2025 Learned Smartphone ISP on Mobile GPUs, Mobile AI 2025 Challenge: Report Andrey Ignatov, Georgy Perevozchikov, Radu Timofte, Cheng Li, Lian Liu, Jun Cao, Heng Sun, Wu Pan, Song Wang, Keqiang Yu, Shuo Liu, Hongqin He, Zhenhao Dong, Jianke Chen, Dejun Hao, Keqiang Yu, Tingniao Wang, Xiaoqing Zhou, Dong Zhang, Chunxia Zhang, Jianguang He, Hailong Yan, Ao Li, Xiangtao Zhang, Zhe Liu, Ce Zhu, Le Zhang, Andrei Arhire, Shuo Liu, Junpyo Seo, Fen Xie, Xiuzhi Fang, Chen Wu, Zhangsheng Wang, Pengbo Zhang, Jiazi Huang
WACV 2024 MotionGPT: Human Motion Synthesis with Improved Diversity and Realism via GPT-3 Prompting Jose Ribeiro-Gomes, Tianhui Cai, Zoltán Á. Milacski, Chen Wu, Aayush Prakash, Shingo Takagi, Amaury Aubel, Daeil Kim, Alexandre Bernardino, Fernando De la Torre
UAI 2024 Trusted Re-Weighting for Label Distribution Learning Zhuoran Zheng, Chen Wu, Yeying Jin, Xiuyi Jia
NeurIPSW 2023 Backdoor Threats from Compromised Foundation Models to Federated Learning Xi Li, Songhe Wang, Chen Wu, Hao Zhou, Jiaqi Wang
ICLRW 2023 Learning to Backdoor Federated Learning Henger Li, Chen Wu, Sencun Zhu, Zizhan Zheng
ICLRW 2023 Unlearning Backdoor Attacks in Federated Learning Chen Wu, Sencun Zhu, Prasenjit Mitra
NeurIPS 2021 Exploring Forensic Dental Identification with Deep Learning Yuan Liang, Weikun Han, Liang Qiu, Chen Wu, Yiting Shao, Kun Wang, Lei He
IJCAI 2021 Learning Visual Words for Weakly-Supervised Semantic Segmentation Lixiang Ru, Bo Du, Chen Wu
AAAI 2021 Learning to Truncate Ranked Lists for Information Retrieval Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng
AAAI 2020 Generating Well-Formed Answers by Machine Reading with Stochastic Selector Networks Bin Bi, Chen Wu, Ming Yan, Wei Wang, Jiangnan Xia, Chenliang Li
ICLR 2020 StructBERT: Incorporating Language Structures into Pre-Training for Deep Language Understanding Wei Wang, Bin Bi, Ming Yan, Chen Wu, Zuyi Bao, Jiangnan Xia, Liwei Peng, Luo Si
AAAI 2019 A Deep Cascade Model for Multi-Document Reading Comprehension Ming Yan, Jiangnan Xia, Chen Wu, Bin Bi, Zhongzhou Zhao, Ji Zhang, Luo Si, Rui Wang, Wei Wang, Haiqing Chen
CVPRW 2010 Hierarchical Preference Learning for Light Control from User Feedback Amir Hossein Khalili, Chen Wu, Hamid K. Aghajan
ICCVW 2009 User-Centric Speaker Report: Ranking-Based Effectiveness Evaluation and Feedback Tianshi Gao, Chen Wu, Hamid Aghajan