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2020 – today
- 2024
[c7]Jiequan Cui, Beier Zhu, Xin Wen, Xiaojuan Qi, Bei Yu, Hanwang Zhang:
Classes Are Not Equal: An Empirical Study on Image Recognition Fairness. CVPR 2024: 23283-23292- [c6]Xingyu Zhu
, Beier Zhu, Yi Tan, Shuo Wang, Yanbin Hao, Hanwang Zhang:
Selective Vision-Language Subspace Projection for Few-shot CLIP. ACM Multimedia 2024: 3848-3857 - [i8]Jiequan Cui, Beier Zhu, Xin Wen, Xiaojuan Qi, Bei Yu, Hanwang Zhang:
Classes Are Not Equal: An Empirical Study on Image Recognition Fairness. CoRR abs/2402.18133 (2024) - [i7]Xingyu Zhu, Beier Zhu, Yi Tan, Shuo Wang, Yanbin Hao, Hanwang Zhang:
Selective Vision-Language Subspace Projection for Few-shot CLIP. CoRR abs/2407.16977 (2024) - 2023
- [c5]Beier Zhu, Yulei Niu, Saeil Lee, Minhoe Hur, Hanwang Zhang:
Debiased Fine-Tuning for Vision-Language Models by Prompt Regularization. AAAI 2023: 3834-3842 - [c4]Chen Chen, Yuchen Hu, Qiang Zhang, Heqing Zou, Beier Zhu, Eng Siong Chng:
Leveraging Modality-Specific Representations for Audio-Visual Speech Recognition via Reinforcement Learning. AAAI 2023: 12607-12615 - [c3]Beier Zhu, Yulei Niu, Yucheng Han, Yue Wu, Hanwang Zhang:
Prompt-aligned Gradient for Prompt Tuning. ICCV 2023: 15613-15623 - [c2]Beier Zhu, Kaihua Tang, Qianru Sun, Hanwang Zhang:
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models. NeurIPS 2023 - [i6]Beier Zhu, Yulei Niu, Saeil Lee, Minhoe Hur, Hanwang Zhang:
Debiased Fine-Tuning for Vision-language Models by Prompt Regularization. CoRR abs/2301.12429 (2023) - [i5]Beier Zhu, Kaihua Tang, Qianru Sun, Hanwang Zhang:
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models. CoRR abs/2310.08106 (2023) - 2022
- [c1]Beier Zhu, Yulei Niu, Xian-Sheng Hua, Hanwang Zhang:
Cross-Domain Empirical Risk Minimization for Unbiased Long-Tailed Classification. AAAI 2022: 3589-3597 - [i4]Beier Zhu, Yulei Niu, Yucheng Han, Yue Wu, Hanwang Zhang:
Prompt-aligned Gradient for Prompt Tuning. CoRR abs/2205.14865 (2022) - [i3]Chen Chen, Yuchen Hu, Qiang Zhang, Heqing Zou, Beier Zhu, Eng Siong Chng:
Leveraging Modality-specific Representations for Audio-visual Speech Recognition via Reinforcement Learning. CoRR abs/2212.05301 (2022) - 2021
- [j3]Chunze Lin, Beier Zhu, Quan Wang, Renjie Liao, Chen Qian, Jiwen Lu, Jie Zhou:
Structure-Coherent Deep Feature Learning for Robust Face Alignment. IEEE Trans. Image Process. 30: 5313-5326 (2021) - [i2]Beier Zhu, Yulei Niu, Xian-Sheng Hua, Hanwang Zhang:
Cross-Domain Empirical Risk Minimization for Unbiased Long-tailed Classification. CoRR abs/2112.14380 (2021) - 2020
- [i1]Beier Zhu, Chunze Lin, Quan Wang, Renjie Liao, Chen Qian:
Fast and Accurate: Structure Coherence Component for Face Alignment. CoRR abs/2006.11697 (2020)
2010 – 2019
- 2019
- [j2]Shenxing Shi, Beier Zhu, Sohrab Mirsaeidi, Xinzhou Dong:
Fault Classification for Transmission Lines Based on Group Sparse Representation. IEEE Trans. Smart Grid 10(4): 4673-4682 (2019) - [j1]Shenxing Shi, Beier Zhu, Aoyu Lei, Xinzhou Dong:
Fault Location for Radial Distribution Network via Topology and Reclosure-Generating Traveling Waves. IEEE Trans. Smart Grid 10(6): 6404-6413 (2019)
Coauthor Index
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