The Tenth Visual Object Tracking VOT2022 Challenge Results. - Matej Kristan; Ales Leonardis; Jirí Matas; Michael Felsberg; Roman P. Pflugfelder; Joni-Kristian Kämäräinen; Hyung Jin Chang; Martin Danelljan; Luka Cehovin Zajc; Alan Lukezic; Ondrej Drbohlav; Johanna Björklund; et al. (ECCV Workshops (8), 2022)

Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting. - Hongyuan Yu; Ting Li; Weichen Yu; Jianguo Li; Yan Huang 008; Liang Wang 001; Alex X. Liu (IJCAI, 2022)

Generalized Inter-class Loss for Gait Recognition. - Weichen Yu; Hongyuan Yu; Yan Huang 008; Liang Wang 001 (ACM Multimedia, 2022)

CNTN: Cyclic Noise-tolerant Network for Gait Recognition. - Weichen Yu; Hongyuan Yu; Yan Huang 008; Chunshui Cao; Liang Wang 001 (CoRR, 2022)

Efficient Deep Models for Real-Time 4K Image Super-Resolution. NTIRE 2023 Benchmark and Report. - Marcos V. Conde; Eduard Zamfir; Radu Timofte; Daniel Motilla; Cen Liu; Zexin Zhang; Yunbo Peng; Yue Lin 002; Jiaming Guo; Xueyi Zou; Yuyi Chen; Yi Liu; et al. (CVPR Workshops, 2023)

NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results. - Yawei Li 001; Yulun Zhang 001; Radu Timofte; Luc Van Gool; Lei Yu; Youwei Li; Xinpeng Li 002; Ting Jiang; Qi Wu 017; Mingyan Han; Wenjie Lin; Chengzhi Jiang; et al. (CVPR Workshops, 2023)

MIPI 2023 Challenge on RGBW Remosaic: Methods and Results. - Qianhui Sun 002; Qingyu Yang; Chongyi Li; Shangchen Zhou; Ruicheng Feng; Yuekun Dai; Wenxiu Sun; Qingpeng Zhu; Chen Change Loy; Jinwei Gu; Yuqing Liu; Hongyuan Yu; et al. (CVPR Workshops, 2023)

MIPI 2023 Challenge on RGBW Fusion: Methods and Results. - Qianhui Sun 002; Qingyu Yang; Chongyi Li; Shangchen Zhou; Ruicheng Feng; Yuekun Dai; Wenxiu Sun; Qingpeng Zhu; Chen Change Loy; Jinwei Gu; Hongyuan Yu; Yuqing Liu; et al. (CVPR Workshops, 2023)

The First Visual Object Tracking Segmentation VOTS2023 Challenge Results. - Matej Kristan; Jirí Matas; Martin Danelljan; Michael Felsberg; Hyung Jin Chang; Luka Cehovin Zajc; Alan Lukezic; Ondrej Drbohlav; Zhongqun Zhang; Khanh-Tung Tran; Xuan-Son Vu; Johanna Björklund; et al. (ICCV (Workshops), 2023)

Bag of Tricks for Training Data Extraction from Language Models. - Weichen Yu; Tianyu Pang; Qian Liu 012; Chao Du; Bingyi Kang; Yan Huang; Min Lin; Shuicheng Yan (ICML, 2023)

Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization. - Kai Hu; Weichen Yu; Yining Li; Tianjun Yao; Xiang Li; Wenhe Liu; Lijun Yu; Zhiqiang Shen; Kai Chen 026; Matt Fredrikson (NeurIPS, 2024)

Metric from Human: Zero-shot Monocular Metric Depth Estimation via Test-time Adaptation. - Yizhou Zhao; Hengwei Bian; Kaihua Chen; Pengliang Ji; Liao Qu; Shao-yu Lin; Weichen Yu; Haoran Li; Hao Chen 102; Jun Shen 001; Bhiksha Raj; Min Xu 009 (NeurIPS, 2024)

Debiasing Multimodal Large Language Models. - Yifan Zhang 004; Weichen Yu; Qingsong Wen; Xue Wang 010; Zhang Zhang 001; Liang Wang 001; Rong Jin 001; Tieniu Tan (CoRR, 2024)

Is Your Text-to-Image Model Robust to Caption Noise? - Weichen Yu; Ziyan Yang; Shanchuan Lin; Qi Zhao; Jianyi Wang; Liangke Gui; Matt Fredrikson; Lu Jiang (CoRR, 2024)

Learning Fine-Grained Alignment for Aerial Vision-Dialog Navigation. - Yifei Su; Dong An 002; Kehan Chen; Weichen Yu; Baiyang Ning; Yonggen Ling; Yan Huang 008; Liang Wang 001 (AAAI, 2025)

Transferable Adversarial Attacks on Black-Box Vision-Language Models. - Kai Hu; Weichen Yu; Li Zhang; Alexander Robey; Andy Zou; Chengming Xu 004; Haoqi Hu; Matt Fredrikson (CoRR, 2025)

A Mixture of Linear Corrections Generates Secure Code. - Weichen Yu; Ravi Mangal; Terry Yue Zhuo; Matt Fredrikson; Corina S. Pasareanu (CoRR, 2025)

Does More Inference-Time Compute Really Help Robustness? - Tong Wu; Chong Xiang 001; Jiachen T. Wang; Weichen Yu; Chawin Sitawarin; Vikash Sehwag; Prateek Mittal (CoRR, 2025)

Sample-aware RandAugment: Search-free Automatic Data Augmentation for Effective Image Recognition. - Anqi Xiao; Weichen Yu; Hongyuan Yu (CoRR, 2025)