Linwei Tao

33 papers A* 7Journal 20Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Confidence Calibration under Ambiguous Ground Truth.
CoRR
Linwei Tao, Haoyang Luo, Minjing Dong, Chang Xu
2026 J jnl
Task-adaptive continual learning of vision language models via prototype routing and prompt.
Neurocomputing
Lei Pan, Zhipeng Lu, Yuan Zheng, Chongyao Yan, Haitao Wen, Linwei Tao, Chang Xu
2025 A* conf
Beyond One-Hot Labels: Semantic Mixing for Model Calibration.
ICML
Haoyang Luo, Linwei Tao, Minjing Dong, Chang Xu
2025 J jnl
Beyond One-Hot Labels: Semantic Mixing for Model Calibration.
CoRR
Haoyang Luo, Linwei Tao, Minjing Dong, Chang Xu
2025 J jnl
Calibrating Graph Neural Networks with Wavelet-Aware Temperature Scaling.
CoRR
Xiaoyang Li, Linwei Tao, Haohui Lu, Minjing Dong, Junbin Gao, Chang Xu
2025 J jnl
Can Large Language Models Express Uncertainty Like Human?
CoRR
Linwei Tao, Yi-Fan Yeh, Bo Kai, Minjing Dong, Tao Huang, Tom A. Lamb, Jialin Yu, Philip H. S. Torr, Chang Xu
2025 A* conf
Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models.
ICLR
Jinxu Lin, Linwei Tao, Minjing Dong, Chang Xu
2025 A* conf
Feature Clipping for Uncertainty Calibration.
AAAI
Linwei Tao, Minjing Dong, Chang Xu
2025 — conf
KG-UQ: Knowledge Graph-Based Uncertainty Quantification for Long Text in Large Language Models.
WWW (Companion Volume)
Yingqing Yuan, Linwei Tao, Haohui Lu, Matloob Khushi, Imran Razzak, Mark Dras, Jian Yang, Usman Naseem
2025 J jnl
Mitigating Object Hallucinations in Large Vision-Language Models via Attention Calibration.
CoRR
Younan Zhu, Linwei Tao, Minjing Dong, Chang Xu
2025 J jnl
Revisiting Uncertainty Estimation and Calibration of Large Language Models.
CoRR
Linwei Tao, Yi-Fan Yeh, Minjing Dong, Tao Huang, Philip Torr, Chang Xu
2025 J jnl
Sample Margin-Aware Recalibration of Temperature Scaling.
CoRR
Haolan Guo, Linwei Tao, Haoyang Luo, Minjing Dong, Chang Xu
2025 A* conf
Uncertainty Weighted Gradients for Model Calibration.
CVPR
Jinxu Lin, Linwei Tao, Minjing Dong, Chang Xu
2025 J jnl
Uncertainty Weighted Gradients for Model Calibration.
CoRR
Jinxu Lin, Linwei Tao, Minjing Dong, Chang Xu
2024 A* conf
A Benchmark Study on Calibration.
ICLR
Linwei Tao, Younan Zhu, Haolan Guo, Minjing Dong, Chang Xu
2024 J jnl
Consistency Calibration: Improving Uncertainty Calibration via Consistency among Perturbed Neighbors.
CoRR
Linwei Tao, Haolan Guo, Minjing Dong, Chang Xu
2024 J jnl
Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Model.
CoRR
Jinxu Lin, Linwei Tao, Minjing Dong, Chang Xu
2024 J jnl
Feature Clipping for Uncertainty Calibration.
CoRR
Linwei Tao, Minjing Dong, Chang Xu
2024 J jnl
GraphFusion: Integrating multi-level semantic information with graph computing for enhanced 3D instance segmentation.
Neurocomputing
Lei Pan, Wuyang Luan, Yuan Zheng, Junhui Li, Linwei Tao, Chang Xu
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 — conf
Research on High-Precision Acoustic Positioning Algorithm for Small-Scale Confined Underwater Space.
ICSPCC
Kaidi Xu, Aiping Huang, Jiale Wang, Linwei Tao, Yusong Bai
2024 J jnl
Visual Imitation Learning with Calibrated Contrastive Representation.
CoRR
Yunke Wang, Linwei Tao, Bo Du, Yutian Lin, Chang Xu
2023 J jnl
A Benchmark Study on Calibration.
CoRR
Linwei Tao, Younan Zhu, Haolan Guo, Minjing Dong, Chang Xu
2023 A* conf
Calibrating a Deep Neural Network with Its Predecessors.
IJCAI
Linwei Tao, Minjing Dong, Daochang Liu, Changming Sun, Chang Xu
2023 J jnl
Calibrating a Deep Neural Network with Its Predecessors.
CoRR
Linwei Tao, Minjing Dong, Daochang Liu, Changming Sun, Chang Xu
2023 A* conf
Dual Focal Loss for Calibration.
ICML
Linwei Tao, Minjing Dong, Chang Xu
2023 J jnl
Dual Focal Loss for Calibration.
CoRR
Linwei Tao, Minjing Dong, Chang Xu
2022 J jnl
Estimation of Rooftop Solar Power Potential by Comparing Solar Radiation Data and Remote Sensing Data - A Case Study in Aichi, Japan.
Remote. Sens.
Xiaoxun Huang, Kiichiro Hayashi, Toshiki Matsumoto, Linwei Tao, Yue Huang, Yuuki Tomino
2021 — conf
Research on Location of Underwater Sound Source Target in Deep Sea Sound Field Based on Bellhop Model.
ICSPCC
Yayu Li, Aiping Huang, Linwei Tao
2021 — conf
Synchronization Technology and System Based on 1 Pulse Per Second Signal.
ICSPCC
Mengtong Lv, Linwei Tao
2017 J jnl
Monte Carlo Based Channel Characteristics for Underwater Optical Wireless Communications.
IEICE Trans. Commun.
Aiping Huang, Linwei Tao
2013 — conf
Flag dual amplitude pulse position modulation for atmospheric FSO communications.
ICSPCS
Aiping Huang, Jinhong Yuan, Yangyu Fan, Linwei Tao
2013 J jnl
The design of high precision time keeping clock system.
IEICE Electron. Express
Linwei Tao, Gou Yanni