Chuanlong Xie - RankMe

51 papers A* 14Journal 33Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Empirical Likelihood-Based Fairness Auditing: Distribution-Free Certification and Flagging. CoRR Jie Tang, Chuanlong Xie, Xianli Zeng, Lixing Zhu
2026	J	`jnl`	FFE-DETR: Frequency-Aware Feature Enhancement for Object Detection in Low-Light Scenarios. IEEE Signal Process. Lett. Yufeng Li, Chao Song, Chuanlong Xie
2026	J	`jnl`	ONRW: Optimizing inversion noise for high-quality and robust watermark. CoRR Xuan Ding, Xiu Yan, Chuanlong Xie, Yao Zhu
2026	A*	`conf`	Sliding-Window Merging for Compacting Patch-Redundant Layers in LLMs. AAAI Xuan Ding, Rui Sun, Yunjian Zhang, Xiu Yan, Yueqi Zhou, Kaihao Huang, Suzhong Fu, Angelica I. Avilés-Rivero, Chuanlong Xie, Yao Zhu
2025	J	`jnl`	A Sliding Layer Merging Method for Efficient Depth-Wise Pruning in LLMs. CoRR Xuan Ding, Yao Zhu, Yunjian Zhang, Chuanlong Xie
2025	A*	`conf`	An Efficient Framework for Enhancing Discriminative Models via Diffusion Techniques. AAAI Chunxiao Li, Xiaoxiao Wang, Boming Miao, Chuanlong Xie, Zizhe Wang, Yao Zhu
2025	—	`conf`	Benchmarking Out-of-Distribution Detection for Plankton Recognition: A Systematic Evaluation of Advanced Methods in Marine Ecological Monitoring. ICCVW Yingzi Han, Jiakai He, Chuanlong Xie, Jianping Li
2025	J	`jnl`	Benchmarking Out-of-Distribution Detection for Plankton Recognition: A Systematic Evaluation of Advanced Methods in Marine Ecological Monitoring. CoRR Yingzi Han, Jiakai He, Chuanlong Xie, Jianping Li
2025	J	`jnl`	DipSVD: Dual-importance Protected SVD for Efficient LLM Compression. CoRR Xuan Ding, Rui Sun, Yunjian Zhang, Xiu Yan, Yueqi Zhou, Kaihao Huang, Suzhong Fu, Chuanlong Xie, Yao Zhu
2025	J	`jnl`	In-Context Learning as Nonparametric Conditional Probability Estimation: Risk Bounds and Optimality. CoRR Chenrui Liu, Falong Tan, Chuanlong Xie, Yicheng Zeng, Lixing Zhu
2025	J	`jnl`	Multi-patch de-raindrop Transformer for UAV images. Signal Image Video Process. Yufeng Li, Qianhui Zhou, Chuanlong Xie, Shuang Wu
2025	J	`jnl`	Multi-scale representation for image deraining with state space model. Signal Image Video Process. Yufeng Li, Chuanlong Xie, Hongming Chen
2025	J	`jnl`	Towards Boosting Out-of-Distribution Detection from a Spatial Feature Importance Perspective. Int. J. Comput. Vis. Yao Zhu, Xiu Yan, Chuanlong Xie
2024	J	`jnl`	AdvLogo: Adversarial Patch Attack against Object Detectors based on Diffusion Models. CoRR Boming Miao, Chunxiao Li, Yao Zhu, Weixiang Sun, Zizhe Wang, Xiaoyi Wang, Chuanlong Xie
2024	J	`jnl`	An Efficient Framework for Enhancing Discriminative Models via Diffusion Techniques. CoRR Chunxiao Li, Xiaoxiao Wang, Boming Miao, Chuanlong Xie, Zizhe Wang, Yao Zhu
2024	J	`jnl`	DSDE: Using Proportion Estimation to Improve Model Selection for Out-of-Distribution Detection. CoRR Jingyao Geng, Yuan Zhang, Jiaqi Huang, Feng Xue, Falong Tan, Chuanlong Xie, Shumei Zhang
2024	—	`conf`	Enhancing Out-of-Distribution Detection with Multitesting-based Layer-wise Feature Fusion. CAI Jiawei Li, Sitong Li, Shanshan Wang, Yicheng Zeng, Falong Tan, Chuanlong Xie
2024	J	`jnl`	Enhancing Out-of-Distribution Detection with Multitesting-based Layer-wise Feature Fusion. CoRR Jiawei Li, Sitong Li, Shanshan Wang, Yicheng Zeng, Falong Tan, Chuanlong Xie
2024	A*	`conf`	Enhancing the Power of OOD Detection via Sample-Aware Model Selection. CVPR Feng Xue, Zi He, Yuan Zhang, Chuanlong Xie, Zhenguo Li, Falong Tan
2024	—	`conf`	NTIRE 2024 Dense and Non-Homogeneous Dehazing Challenge Report. CVPR Workshops 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
2024	A*	`conf`	Provable Contrastive Continual Learning. ICML Yichen Wen, Zhiquan Tan, Kaipeng Zheng, Chuanlong Xie, Weiran Huang
2024	J	`jnl`	Provable Contrastive Continual Learning. CoRR Yichen Wen, Zhiquan Tan, Kaipeng Zheng, Chuanlong Xie, Weiran Huang
2024	J	`jnl`	Rethinking all-in-one adverse weather removal for object detection. Signal Image Video Process. Yufeng Li, Jiayu Chen, Chuanlong Xie, Hongming Chen
2024	J	`jnl`	Technique Report of CVPR 2024 PBDL Challenges. CoRR 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
2023	A*	`conf`	DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization. AAAI Qishi Dong, Fengwei Zhou, Ning Kang, Chuanlong Xie, Shifeng Zhang, Jiawei Li, Heng Peng, Zhenguo Li
2023	A*	`conf`	Fair-CDA: Continuous and Directional Augmentation for Group Fairness. AAAI Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li
2023	J	`jnl`	Fair-CDA: Continuous and Directional Augmentation for Group Fairness. CoRR Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li
2023	—	`conf`	Heavy-Tailed Regularization of Weight Matrices in Deep Neural Networks. ICANN (10) Xuanzhe Xiao, Zeng Li, Chuanlong Xie, Fengwei Zhou
2023	J	`jnl`	Heavy-Tailed Regularization of Weight Matrices in Deep Neural Networks. CoRR Xuanzhe Xiao, Zeng Li, Chuanlong Xie, Fengwei Zhou
2022	J	`jnl`	Boosting Out-of-Distribution Detection with Multiple Pre-trained Models. CoRR Feng Xue, Zi He, Chuanlong Xie, Falong Tan, Zhenguo Li
2022	A*	`conf`	Boosting Out-of-distribution Detection with Typical Features. NeurIPS Yao Zhu, Yuefeng Chen, Chuanlong Xie, Xiaodan Li, Rong Zhang, Hui Xue, Xiang Tian, Bolun Zheng, Yaowu Chen
2022	J	`jnl`	Boosting Out-of-distribution Detection with Typical Features. CoRR Yao Zhu, Yuefeng Chen, Chuanlong Xie, Xiaodan Li, Rong Zhang, Hui Xue, Xiang Tian, Bolun Zheng, Yaowu Chen
2022	A*	`conf`	Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL. ICML Siyi Hu, Chuanlong Xie, Xiaodan Liang, Xiaojun Chang
2022	J	`jnl`	Policy Diagnosis via Measuring Role Diversity in Cooperative Multi-agent RL. CoRR Siyi Hu, Chuanlong Xie, Xiaodan Liang, Xiaojun Chang
2022	A*	`conf`	ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization. NeurIPS Qishi Dong, Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Tianyang Hu, Yongxin Yang, Sung-Ho Bae, Zhenguo Li
2022	J	`jnl`	ZooD: Exploiting Model Zoo for Out-of-Distribution Generalization. CoRR Qishi Dong, Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Tianyang Hu, Yongxin Yang, Sung-Ho Bae, Zhenguo Li
2021	A*	`conf`	Asymptotic Normality and Confidence Intervals for Prediction Risk of the Min-Norm Least Squares Estimator. ICML Zeng Li, Chuanlong Xie, Qinwen Wang
2021	J	`jnl`	Fast inference for semi-varying coefficient models via local averaging. Comput. Stat. Data Anal. Heng Peng, Chuanlong Xie, Jingxin Zhao
2021	A*	`conf`	MetaAugment: Sample-Aware Data Augmentation Policy Learning. AAAI Fengwei Zhou, Jiawei Li, Chuanlong Xie, Fei Chen, Lanqing Hong, Rui Sun, Zhenguo Li
2021	A*	`conf`	MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps. NeurIPS Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Jiawei Li, Sung-Ho Bae, Zhenguo Li
2021	J	`jnl`	MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps. CoRR Muhammad Awais, Fengwei Zhou, Chuanlong Xie, Jiawei Li, Sung-Ho Bae, Zhenguo Li
2021	A*	`conf`	NASOA: Towards Faster Task-oriented Online Fine-tuning with a Zoo of Models. ICCV Hang Xu, Ning Kang, Gengwei Zhang, Chuanlong Xie, Xiaodan Liang, Zhenguo Li
2021	J	`jnl`	NASOA: Towards Faster Task-oriented Online Fine-tuning with a Zoo of Models. CoRR Hang Xu, Ning Kang, Gengwei Zhang, Chuanlong Xie, Xiaodan Liang, Zhenguo Li
2021	J	`jnl`	Out-of-Distribution Generalization Analysis via Influence Function. CoRR Haotian Ye, Chuanlong Xie, Yue Liu, Zhenguo Li
2021	A*	`conf`	Towards a Theoretical Framework of Out-of-Distribution Generalization. NeurIPS Haotian Ye, Chuanlong Xie, Tianle Cai, Ruichen Li, Zhenguo Li, Liwei Wang
2021	J	`jnl`	Towards a Theoretical Framework of Out-of-Distribution Generalization. CoRR Haotian Ye, Chuanlong Xie, Tianle Cai, Ruichen Li, Zhenguo Li, Liwei Wang
2020	J	`jnl`	Generalized kernel-based inverse regression methods for sufficient dimension reduction. Comput. Stat. Data Anal. Chuanlong Xie, Lixing Zhu
2020	J	`jnl`	MetaAugment: Sample-Aware Data Augmentation Policy Learning. CoRR Fengwei Zhou, Jiawei Li, Chuanlong Xie, Fei Chen, Lanqing Hong, Rui Sun, Zhenguo Li
2020	J	`jnl`	Provable More Data Hurt in High Dimensional Least Squares Estimator. CoRR Zeng Li, Chuanlong Xie, Qinwen Wang
2020	J	`jnl`	Risk Variance Penalization: From Distributional Robustness to Causality. CoRR Chuanlong Xie, Fei Chen, Yue Liu, Zhenguo Li
2019	J	`jnl`	A goodness-of-fit test for variable-adjusted models. Comput. Stat. Data Anal. Chuanlong Xie, Lixing Zhu