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ORCIDHaoyue Bai 0001
Person information
- affiliation: University of Wisconsin-Madison, Department of Computer Sciences, Madison, WI, USA
- affiliation (2018 - 2022): Hong Kong University of Science and Technology, Hong Kong
Other persons with the same name
- Haoyue Bai — disambiguation page
- Haoyue Bai 0002
![[0009-0009-1328-9230]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0009-0009-1328-9230")
— Arizona State University, School of Computing and Augmented Intelligence, Tempe, AZ, USA (and 1 more) - Haoyue Bai 0003 — Nanjing University of Science and Technology, Nanjing, China
- Haoyue Bai 0004 — Tongji University, Shanghai, China
- Haoyue Bai 0005 — McMaster University, Hamilton, ON, Canada
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2020 – today
- 2025
[j4]Haoyue Bai, Xuefeng Du, Katie Rainey, Shibin Parameswaran, Yixuan Li:
Out-of-Distribution Learning with Human Feedback. Trans. Mach. Learn. Res. 2025 (2025)- [j3]Tian Xie, Jifan Zhang, Haoyue Bai, Robert D. Nowak:
Deep Active Learning in the Open World. Trans. Mach. Learn. Res. 2025 (2025) - [c12]Haoyue Bai, Yiyou Sun, Wei Cheng, Haifeng Chen:
Where's the Liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content. CVPR 2025: 28821-28830 - [i18]Haoyue Bai, Yiyou Sun, Wei Cheng, Haifeng Chen:
Where's the liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content. CoRR abs/2505.01008 (2025) - [i17]Yiyou Sun, Yuhan Cao, Pohao Huang, Haoyue Bai, Hannaneh Hajishirzi, Nouha Dziri, Dawn Song:
DELTA-Code: How Does RL Unlock and Transfer New Programming Algorithms in LLMs? CoRR abs/2509.21016 (2025) - 2024
- [c11]Haoyue Bai, Yifei Ming, Julian Katz-Samuels, Yixuan Li:
HYPO: Hyperspherical Out-Of-Distribution Generalization. ICLR 2024 - [c10]Haoyue Bai, Jifan Zhang, Robert D. Nowak:
AHA: Human-Assisted Out-of-Distribution Generalization and Detection. NeurIPS 2024 - [i16]Yifei Ming, Haoyue Bai, Julian Katz-Samuels, Yixuan Li:
HYPO: Hyperspherical Out-of-Distribution Generalization. CoRR abs/2402.07785 (2024) - [i15]Haoyue Bai, Xuefeng Du, Katie Rainey, Shibin Parameswaran, Yixuan Li:
Out-of-Distribution Learning with Human Feedback. CoRR abs/2408.07772 (2024) - [i14]Haoyue Bai, Jifan Zhang, Robert Nowak:
AHA: Human-Assisted Out-of-Distribution Generalization and Detection. CoRR abs/2410.08000 (2024) - [i13]Haoyue Bai:
Towards Robust Out-of-Distribution Generalization: Data Augmentation and Neural Architecture Search Approaches. CoRR abs/2410.21313 (2024) - [i12]Tian Xie, Jifan Zhang, Haoyue Bai, Robert D. Nowak:
Deep Active Learning in the Open World. CoRR abs/2411.06353 (2024) - 2023
- [c9]Haoyue Bai, Gregory Canal, Xuefeng Du, Jeongyeol Kwon, Robert D. Nowak, Yixuan Li:
Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection. ICML 2023: 1454-1471 - [i11]Haoyue Bai, Gregory Canal, Xuefeng Du, Jeongyeol Kwon, Robert D. Nowak, Yixuan Li:
Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection. CoRR abs/2306.09158 (2023) - [i10]Haoyue Bai, Ceyuan Yang, Yinghao Xu, S.-H. Gary Chan, Bolei Zhou:
Improving Out-of-Distribution Robustness of Classifiers via Generative Interpolation. CoRR abs/2307.12219 (2023) - 2022
- [j2]Haoyue Bai, Jiageng Mao, S.-H. Gary Chan:
A survey on deep learning-based single image crowd counting: Network design, loss function and supervisory signal. Neurocomputing 508: 1-18 (2022) - [c8]Nanyang Ye, Kaican Li, Haoyue Bai, Runpeng Yu, Lanqing Hong, Fengwei Zhou, Zhenguo Li, Jun Zhu:
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization. CVPR 2022: 7937-7948 - [c7]Haoyue Bai, Hao He, Zhuoxuan Peng, Tianyuan Dai, S.-H. Gary Chan:
CounTr: An End-to-End Transformer Approach for Crowd Counting and Density Estimation. ECCV Workshops (6) 2022: 207-222 - 2021
- [c6]Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye, Han-Jia Ye, S.-H. Gary Chan, Zhenguo Li:
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation. AAAI 2021: 6705-6713 - [c5]Jiageng Mao, Minzhe Niu, Haoyue Bai, Xiaodan Liang, Hang Xu, Chunjing Xu:
Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection. ICCV 2021: 2703-2712 - [c4]Jiageng Mao, Yujing Xue, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, Chunjing Xu:
Voxel Transformer for 3D Object Detection. ICCV 2021: 3144-3153 - [c3]Haoyue Bai, Fengwei Zhou, Lanqing Hong, Nanyang Ye, S.-H. Gary Chan, Zhenguo Li:
NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization. ICCV 2021: 8300-8309 - [c2]Chengfu Tang, Dawei Dai, Haoyue Bai, Guoyin Wang, Shuyin Xia, Feng Hu:
Designing a Partially Understandable Neural Network through Semantic Embedding. IJCNN 2021: 1-8 - [i9]Haoyue Bai, S.-H. Gary Chan:
Motion-guided Non-local Spatial-Temporal Network for Video Crowd Counting. CoRR abs/2104.13946 (2021) - [i8]Haoyue Bai, Song Wen, S.-H. Gary Chan:
Crowd Counting by Self-supervised Transfer Colorization Learning and Global Prior Classification. CoRR abs/2105.09684 (2021) - [i7]Nanyang Ye, Kaican Li, Lanqing Hong, Haoyue Bai, Yiting Chen, Fengwei Zhou, Zhenguo Li:
OoD-Bench: Benchmarking and Understanding Out-of-Distribution Generalization Datasets and Algorithms. CoRR abs/2106.03721 (2021) - [i6]Haoyue Bai, Fengwei Zhou, Lanqing Hong, Nanyang Ye, S.-H. Gary Chan, Zhenguo Li:
NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization. CoRR abs/2109.02038 (2021) - [i5]Jiageng Mao, Yujing Xue, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, Chunjing Xu:
Voxel Transformer for 3D Object Detection. CoRR abs/2109.02497 (2021) - [i4]Jiageng Mao, Minzhe Niu, Haoyue Bai, Xiaodan Liang, Hang Xu, Chunjing Xu:
Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection. CoRR abs/2109.02499 (2021) - 2020
- [j1]Dawei Dai, Chengfu Tang, Dongyao Zhao, Shuyin Xia, Haoyue Bai:
Understanding a Deep Neural Network Based on Neural-Path Coding. IEEE Access 8: 174495-174506 (2020) - [i3]Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye, Han-Jia Ye, S.-H. Gary Chan, Zhenguo Li:
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation. CoRR abs/2012.09382 (2020) - [i2]Haoyue Bai, S.-H. Gary Chan:
CNN-based Single Image Crowd Counting: Network Design, Loss Function and Supervisory Signal. CoRR abs/2012.15685 (2020)
2010 – 2019
- 2019
- [c1]Haoyue Bai, Song Wen, S.-H. Gary Chan:
Crowd Counting on Images with Scale Variation and Isolated Clusters. ICCV Workshops 2019: 18-27 - [i1]Haoyue Bai, Song Wen, S.-H. Gary Chan:
Crowd Counting on Images with Scale Variation and Isolated Clusters. CoRR abs/1909.03839 (2019)
Coauthor Index
aka: S.-H. Gary Chan
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