Chuanlong Xie

According to our database, Chuanlong Xie authored at least 32 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Towards Boosting Out-of-Distribution Detection from a Spatial Feature Importance Perspective.

Yao Zhu, Xiu Yan, Chuanlong Xie

Int. J. Comput. Vis., July, 2025

DipSVD: Dual-importance Protected SVD for Efficient LLM Compression.

Xuan Ding, Rui Sun, Yunjian Zhang, Xiu Yan, Yueqi Zhou, Kaihao Huang, Suzhong Fu, Chuanlong Xie, Yao Zhu

CoRR, June, 2025

A Sliding Layer Merging Method for Efficient Depth-Wise Pruning in LLMs.

Xuan Ding, Yao Zhu, Yunjian Zhang, Chuanlong Xie

CoRR, February, 2025

Multi-patch de-raindrop Transformer for UAV images.

Yufeng Li, Qianhui Zhou, Chuanlong Xie, Shuang Wu

Signal Image Video Process., January, 2025

Multi-scale representation for image deraining with state space model.

Yufeng Li, Chuanlong Xie, Hongming Chen

Signal Image Video Process., January, 2025

An Efficient Framework for Enhancing Discriminative Models via Diffusion Techniques.

Chunxiao Li, Xiaoxiao Wang, Boming Miao, Chuanlong Xie, Zizhe Wang, Yao Zhu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Rethinking all-in-one adverse weather removal for object detection.

Yufeng Li, Jiayu Chen, Chuanlong Xie, Hongming Chen

Signal Image Video Process., December, 2024

DSDE: Using Proportion Estimation to Improve Model Selection for Out-of-Distribution Detection.

Jingyao Geng, Yuan Zhang, Jiaqi Huang, Feng Xue, Falong Tan, Chuanlong Xie, Shumei Zhang

CoRR, 2024

AdvLogo: Adversarial Patch Attack against Object Detectors based on Diffusion Models.

Boming Miao, Chunxiao Li, Yao Zhu, Weixiang Sun, Zizhe Wang, Xiaoyi Wang, Chuanlong Xie

CoRR, 2024

Technique Report of CVPR 2024 PBDL Challenges.

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

CoRR, 2024

Enhancing Out-of-Distribution Detection with Multitesting-based Layer-wise Feature Fusion.

Jiawei Li, Sitong Li, Shanshan Wang, Yicheng Zeng, Falong Tan, Chuanlong Xie

CoRR, 2024

Provable Contrastive Continual Learning.

Yichen Wen, Zhiquan Tan, Kaipeng Zheng, Chuanlong Xie, Weiran Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Enhancing the Power of OOD Detection via Sample-Aware Model Selection.

Feng Xue, Zi He, Yuan Zhang, Chuanlong Xie, Zhenguo Li, Falong Tan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Heavy-Tailed Regularization of Weight Matrices in Deep Neural Networks.

Xuanzhe Xiao, Zeng Li, Chuanlong Xie, Fengwei Zhou

Proceedings of the Artificial Neural Networks and Machine Learning, 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Boosting Out-of-Distribution Detection with Multiple Pre-trained Models.

Feng Xue, Zi He, Chuanlong Xie, Falong Tan, Zhenguo Li

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization.

Qishi Dong, Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Tianyang Hu, Yongxin Yang, Sung-Ho Bae, Zhenguo Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL.

Siyi Hu, Chuanlong Xie, Xiaodan Liang, Xiaojun Chang

Proceedings of the International Conference on Machine Learning, 2022

2021

Fast inference for semi-varying coefficient models via local averaging.

Heng Peng, Chuanlong Xie, Jingxin Zhao

Comput. Stat. Data Anal., 2021

Out-of-Distribution Generalization Analysis via Influence Function.

Haotian Ye, Chuanlong Xie, Yue Liu, Zhenguo Li

CoRR, 2021

Towards a Theoretical Framework of Out-of-Distribution Generalization.

Haotian Ye, Chuanlong Xie, Tianle Cai, Ruichen Li, Zhenguo Li, Liwei Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps.

Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Jiawei Li, Sung-Ho Bae, Zhenguo Li

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Asymptotic Normality and Confidence Intervals for Prediction Risk of the Min-Norm Least Squares Estimator.

Zeng Li, Chuanlong Xie, Qinwen Wang

Proceedings of the 38th International Conference on Machine Learning, 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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

MetaAugment: Sample-Aware Data Augmentation Policy Learning.

Fengwei Zhou, Jiawei Li, Chuanlong Xie, Fei Chen, Lanqing Hong, Rui Sun, Zhenguo Li

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Generalized kernel-based inverse regression methods for sufficient dimension reduction.

Chuanlong Xie, Lixing Zhu

Comput. Stat. Data Anal., 2020

Provable More Data Hurt in High Dimensional Least Squares Estimator.

Zeng Li, Chuanlong Xie, Qinwen Wang

CoRR, 2020

Risk Variance Penalization: From Distributional Robustness to Causality.

Chuanlong Xie, Fei Chen, Yue Liu, Zhenguo Li

CoRR, 2020

2019

A goodness-of-fit test for variable-adjusted models.

Chuanlong Xie, Lixing Zhu

Comput. Stat. Data Anal., 2019