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Chuanlong Xie
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2020 – today
- 2024
- [j4]Yufeng Li, Jiayu Chen, Chuanlong Xie, Hongming Chen:
Rethinking all-in-one adverse weather removal for object detection. Signal Image Video Process. 18(12): 8597-8606 (2024) - [c14]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:
NTIRE 2024 Dense and Non-Homogeneous Dehazing Challenge Report. CVPR Workshops 2024: 6453-6468 - [c13]Feng Xue, Zi He, Yuan Zhang, Chuanlong Xie, Zhenguo Li, Falong Tan:
Enhancing the Power of OOD Detection via Sample-Aware Model Selection. CVPR 2024: 17148-17157 - [c12]Yichen Wen, Zhiquan Tan, Kaipeng Zheng, Chuanlong Xie, Weiran Huang:
Provable Contrastive Continual Learning. ICML 2024 - [i17]Jiawei Li, Sitong Li, Shanshan Wang, Yicheng Zeng, Falong Tan, Chuanlong Xie:
Enhancing Out-of-Distribution Detection with Multitesting-based Layer-wise Feature Fusion. CoRR abs/2403.10803 (2024) - [i16]Yichen Wen, Zhiquan Tan, Kaipeng Zheng, Chuanlong Xie, Weiran Huang:
Provable Contrastive Continual Learning. CoRR abs/2405.18756 (2024) - [i15]Ying Fu, Yu Li, Shaodi You, Boxin Shi, Jose Alvarez, Coert Van Gemeren, Linwei Chen, Yunhao Zou, Zichun Wang, Yichen Li, Yuze Han, Yingkai Zhang, Jianan Wang, Qinglin Liu, Wei Yu, Xiaoqian Lv, Jianing Li, Shengping Zhang, Xiangyang Ji, Yuanpei Chen, Yuhan Zhang, Weihang Peng, Liwen Zhang, Zhe Xu, Dingyong Gou, Cong Li, Senyan Xu, Yunkang Zhang, Siyuan Jiang, Xiaoqiang Lu, Licheng Jiao, Fang Liu, Xu Liu, Lingling Li, Wenping Ma, Shuyuan Yang, Haiyang Xie, Jian Zhao, Shihuang Huang, Peng Cheng, Xi Shen, Zheng Wang, Shuai An, Caizhi Zhu, Xuelong Li, Tao Zhang, Liang Li, Yu Liu, Chenggang Yan, Gengchen Zhang, Linyan Jiang, Bingyi Song, Zhuoyu An, Haibo Lei, Qing Luo, Jie Song, Yuan Liu, Qihang Li, Haoyuan Zhang, Lingfeng Wang, Wei Chen, Aling Luo, Cheng Li, Jun Cao, Shu Chen, Zifei Dou, Xinyu Liu, Jing Zhang, Kexin Zhang, Yuting Yang, Xuejian Gou, Qinliang Wang, Yang Liu, Shizhan Zhao, Yanzhao Zhang, Libo Yan, Yuwei Guo, Guoxin Li, Qiong Gao, Chenyue Che, Long Sun, Xiang Chen, Hao Li, Jinshan Pan, Chuanlong Xie, Hongming Chen, Mingrui Li, Tianchen Deng, Jingwei Huang, Yufeng Li, Fei Wan, Bingxin Xu, Jian Cheng, Hongzhe Liu, Cheng Xu, Yuxiang Zou, Weiguo Pan, Songyin Dai, Sen Jia, Junpei Zhang:
Technique Report of CVPR 2024 PBDL Challenges. CoRR abs/2406.10744 (2024) - [i14]Boming Miao, Chunxiao Li, Yao Zhu, Weixiang Sun, Zizhe Wang, Xiaoyi Wang, Chuanlong Xie:
AdvLogo: Adversarial Patch Attack against Object Detectors based on Diffusion Models. CoRR abs/2409.07002 (2024) - 2023
- [c11]Qishi Dong, Fengwei Zhou, Ning Kang, Chuanlong Xie, Shifeng Zhang, Jiawei Li, Heng Peng, Zhenguo Li:
DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization. AAAI 2023: 4250-4258 - [c10]Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li:
Fair-CDA: Continuous and Directional Augmentation for Group Fairness. AAAI 2023: 9918-9926 - [c9]Xuanzhe Xiao
, Zeng Li
Heavy-Tailed Regularization of Weight Matrices in Deep Neural Networks. ICANN (10) 2023: 236-247 - [i13]Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li:
Fair-CDA: Continuous and Directional Augmentation for Group Fairness. CoRR abs/2304.00295 (2023) - [i12]Xuanzhe Xiao, Zeng Li, Chuanlong Xie, Fengwei Zhou:
Heavy-Tailed Regularization of Weight Matrices in Deep Neural Networks. CoRR abs/2304.02911 (2023) - 2022
- [c8]Siyi Hu, Chuanlong Xie, Xiaodan Liang, Xiaojun Chang:
Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL. ICML 2022: 9041-9071 - [c7]Qishi Dong, Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Tianyang Hu, Yongxin Yang, Sung-Ho Bae, Zhenguo Li:
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization. NeurIPS 2022 - [c6]Yao Zhu, Yuefeng Chen, Chuanlong Xie, Xiaodan Li, Rong Zhang, Hui Xue, Xiang Tian, Bolun Zheng, Yaowu Chen:
Boosting Out-of-distribution Detection with Typical Features. NeurIPS 2022 - [i11]Siyi Hu, Chuanlong Xie, Xiaodan Liang, Xiaojun Chang:
Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL. CoRR abs/2207.05683 (2022) - [i10]Yao Zhu, Yuefeng Chen, Chuanlong Xie, Xiaodan Li, Rong Zhang, Hui Xue, Xiang Tian, Bolun Zheng, Yaowu Chen:
Boosting Out-of-distribution Detection with Typical Features. CoRR abs/2210.04200 (2022) - [i9]Qishi Dong, Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Tianyang Hu, Yongxin Yang, Sung-Ho Bae, Zhenguo Li:
ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization. CoRR abs/2210.09236 (2022) - [i8]Feng Xue, Zi He, Chuanlong Xie, Falong Tan, Zhenguo Li:
Boosting Out-of-Distribution Detection with Multiple Pre-trained Models. CoRR abs/2212.12720 (2022) - 2021
- [j3]Heng Peng, Chuanlong Xie, Jingxin Zhao:
Fast inference for semi-varying coefficient models via local averaging. Comput. Stat. Data Anal. 157: 107126 (2021) - [c5]Fengwei Zhou
MetaAugment: Sample-Aware Data Augmentation Policy Learning. AAAI 2021: 11097-11105 - [c4]Hang Xu, Ning Kang, Gengwei Zhang
NASOA: Towards Faster Task-oriented Online Fine-tuning with a Zoo of Models. ICCV 2021: 5077-5086 - [c3]Zeng Li, Chuanlong Xie, Qinwen Wang:
Asymptotic Normality and Confidence Intervals for Prediction Risk of the Min-Norm Least Squares Estimator. ICML 2021: 6533-6542 - [c2]Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Jiawei Li, Sung-Ho Bae, Zhenguo Li:
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps. NeurIPS 2021: 4555-4569 - [c1]Haotian Ye, Chuanlong Xie, Tianle Cai, Ruichen Li, Zhenguo Li, Liwei Wang:
Towards a Theoretical Framework of Out-of-Distribution Generalization. NeurIPS 2021: 23519-23531 - [i7]Haotian Ye, Chuanlong Xie, Yue Liu, Zhenguo Li:
Out-of-Distribution Generalization Analysis via Influence Function. CoRR abs/2101.08521 (2021) - [i6]Haotian Ye, Chuanlong Xie, Tianle Cai, Ruichen Li, Zhenguo Li, Liwei Wang:
Towards a Theoretical Framework of Out-of-Distribution Generalization. CoRR abs/2106.04496 (2021) - [i5]Hang Xu, Ning Kang, Gengwei Zhang, Chuanlong Xie, Xiaodan Liang, Zhenguo Li:
NASOA: Towards Faster Task-oriented Online Fine-tuning with a Zoo of Models. CoRR abs/2108.03434 (2021) - [i4]Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Jiawei Li, Sung-Ho Bae, Zhenguo Li:
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps. CoRR abs/2111.05073 (2021) - 2020
- [j2]Chuanlong Xie, Lixing Zhu
Generalized kernel-based inverse regression methods for sufficient dimension reduction. Comput. Stat. Data Anal. 150: 106995 (2020) - [i3]Chuanlong Xie, Fei Chen, Yue Liu, Zhenguo Li:
Risk Variance Penalization: From Distributional Robustness to Causality. CoRR abs/2006.07544 (2020) - [i2]Zeng Li, Chuanlong Xie, Qinwen Wang:
Provable More Data Hurt in High Dimensional Least Squares Estimator. CoRR abs/2008.06296 (2020) - [i1]Fengwei Zhou, Jiawei Li, Chuanlong Xie, Fei Chen, Lanqing Hong, Rui Sun, Zhenguo Li:
MetaAugment: Sample-Aware Data Augmentation Policy Learning. CoRR abs/2012.12076 (2020)
2010 – 2019
- 2019
- [j1]Chuanlong Xie, Lixing Zhu
A goodness-of-fit test for variable-adjusted models. Comput. Stat. Data Anal. 138: 27-48 (2019)
Coauthor Index
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