Xie, Chuanlong

14 publications

AAAI 2025 An Efficient Framework for Enhancing Discriminative Models via Diffusion Techniques Chunxiao Li, Xiaoxiao Wang, Boming Miao, Chuanlong Xie, Zizhe Wang, Yao Zhu

CVPR 2024 Enhancing the Power of OOD Detection via Sample-Aware Model Selection Feng Xue, Zi He, Yuan Zhang, Chuanlong Xie, Zhenguo Li, Falong Tan

CVPRW 2024 NTIRE 2024 Dense and Non-Homogeneous Dehazing Challenge Report Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Yidi Liu, Xingbo Wang, Yurui Zhu, Gege Shi, Xin Lu, Xueyang Fu, Zheng-Jun Zha, Wei Dong, Han Zhou, Ruiyi Wang, Xiaohong Liu, Guangtao Zhai, Jun Chen, Wei Song, Yichang Gao, Jiahao Xiong, Hualiang Lin, Xianger Li, Dong Li, Mohab Kishawy, Ruibin Li, Seyed Amirreza Mousavi, Rana Rauf, Yangyi Liu, Huan Liu, Mingsheng Tu, Kele Xu, JiaWen Chen, Qisheng Xu, Tao Sun, Jin Guo, Ben Shao, Tianli Liu, Mohao Wu, Xingzhuo Yan, Minghan Fu, Lehan Yang, Xin Lin, Lu Qi, Jincen Song, Xiaoqian Hu, Linwei Tao, Hongming Chen, Xiang Chen, Chuanlong Xie, Zhao Zhang, Junhu Wang, Yanyan Wei, Suiyi Zhao, Shengeng Tang, Sampada Malagi, Amogh Joshi, Nikhil Akalwadi, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Wenjing Jiang, Jagadeesh Kalyanshetti, Vijayalaxmi Ashok Aralikatti, Palani Yashaswini, Nitish Upasi, Dikshit Hegde, Ujwala Patil, Sujata C

ICML 2024 Provable Contrastive Continual Learning Yichen Wen, Zhiquan Tan, Kaipeng Zheng, Chuanlong Xie, Weiran Huang

AAAI 2023 DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization Qishi Dong, Fengwei Zhou, Ning Kang, Chuanlong Xie, Shifeng Zhang, Jiawei Li, Heng Peng, Zhenguo Li

AAAI 2023 Fair-CDA: Continuous and Directional Augmentation for Group Fairness Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li

NeurIPS 2022 Boosting Out-of-Distribution Detection with Typical Features Yao Zhu, YueFeng Chen, Chuanlong Xie, Xiaodan Li, Rong Zhang, Hui Xue', Xiang Tian, Bolun Zheng, Yaowu Chen

ICML 2022 Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-Agent RL Siyi Hu, Chuanlong Xie, Xiaodan Liang, Xiaojun Chang

NeurIPS 2022 ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization Qishi Dong, Awais Muhammad, Fengwei Zhou, Chuanlong Xie, Tianyang Hu, Yongxin Yang, Sung-Ho Bae, Zhenguo Li

ICML 2021 Asymptotic Normality and Confidence Intervals for Prediction Risk of the Min-Norm Least Squares Estimator Zeng Li, Chuanlong Xie, Qinwen Wang

AAAI 2021 MetaAugment: Sample-Aware Data Augmentation Policy Learning Fengwei Zhou, Jiawei Li, Chuanlong Xie, Fei Chen, Lanqing Hong, Rui Sun, Zhenguo Li

NeurIPS 2021 MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps Awais Muhammad, Fengwei Zhou, Chuanlong Xie, Jiawei Li, Sung-Ho Bae, Zhenguo Li

ICCV 2021 NASOA: Towards Faster Task-Oriented Online Fine-Tuning with a Zoo of Models Hang Xu, Ning Kang, Gengwei Zhang, Chuanlong Xie, Xiaodan Liang, Zhenguo Li

NeurIPS 2021 Towards a Theoretical Framework of Out-of-Distribution Generalization Haotian Ye, Chuanlong Xie, Tianle Cai, Ruichen Li, Zhenguo Li, Liwei Wang