Haoyue Bai

According to our database, Haoyue Bai authored at least 24 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

OoDBench+: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization.

Nanyang Ye, Kaican Li, Fan Wu, Jundong Zhou, Haoyue Bai, Runpeng Yu, Lanqing Hong, Fengwei Zhou, Zhenguo Li, Jun Zhu, Xinbing Wang, Chenghu Zhou

IEEE Trans. Pattern Anal. Mach. Intell., March, 2026

2025

DELTA-Code: How Does RL Unlock and Transfer New Programming Algorithms in LLMs?

Yiyou Sun, Yuhan Cao, Pohao Huang, Haoyue Bai, Hannaneh Hajishirzi, Nouha Dziri, Dawn Song

CoRR, September, 2025

Deep Active Learning in the Open World.

Tian Xie, Jifan Zhang, Haoyue Bai, Robert D. Nowak

Trans. Mach. Learn. Res., 2025

Out-of-Distribution Learning with Human Feedback.

Haoyue Bai, Xuefeng Du, Katie Rainey, Shibin Parameswaran, Yixuan Li

Trans. Mach. Learn. Res., 2025

Where's the Liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content.

Haoyue Bai, Yiyou Sun, Wei Cheng, Haifeng Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Towards Robust Out-of-Distribution Generalization: Data Augmentation and Neural Architecture Search Approaches.

Haoyue Bai

CoRR, 2024

AHA: Human-Assisted Out-of-Distribution Generalization and Detection.

Haoyue Bai, Jifan Zhang, Robert D. Nowak

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

HYPO: Hyperspherical Out-Of-Distribution Generalization.

Haoyue Bai, Yifei Ming, Julian Katz-Samuels, Yixuan Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Improving Out-of-Distribution Robustness of Classifiers via Generative Interpolation.

Haoyue Bai, Ceyuan Yang, Yinghao Xu, S.-H. Gary Chan, Bolei Zhou

CoRR, 2023

Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection.

Haoyue Bai, Gregory Canal, Xuefeng Du, Jeongyeol Kwon, Robert D. Nowak, Yixuan Li

Proceedings of the International Conference on Machine Learning, 2023

2022

A survey on deep learning-based single image crowd counting: Network design, loss function and supervisory signal.

Haoyue Bai, Jiageng Mao, S.-H. Gary Chan

Neurocomputing, 2022

CounTr: An End-to-End Transformer Approach for Crowd Counting and Density Estimation.

Haoyue Bai, Hao He, Zhuoxuan Peng, Tianyuan Dai, S.-H. Gary Chan

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization.

Nanyang Ye, Kaican Li, Haoyue Bai, Runpeng Yu, Lanqing Hong, Fengwei Zhou, Zhenguo Li, Jun Zhu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

OoD-Bench: Benchmarking and Understanding Out-of-Distribution Generalization Datasets and Algorithms.

Nanyang Ye, Kaican Li, Lanqing Hong, Haoyue Bai, Yiting Chen, Fengwei Zhou, Zhenguo Li

CoRR, 2021

Crowd Counting by Self-supervised Transfer Colorization Learning and Global Prior Classification.

Haoyue Bai, Song Wen, S.-H. Gary Chan

CoRR, 2021

Motion-guided Non-local Spatial-Temporal Network for Video Crowd Counting.

Haoyue Bai, S.-H. Gary Chan

CoRR, 2021

Designing a Partially Understandable Neural Network through Semantic Embedding.

Chengfu Tang, Dawei Dai, Haoyue Bai, Guoyin Wang, Shuyin Xia, Feng Hu

Proceedings of the International Joint Conference on Neural Networks, 2021

Voxel Transformer for 3D Object Detection.

Jiageng Mao, Yujing Xue, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, Chunjing Xu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection.

Jiageng Mao, Minzhe Niu, Haoyue Bai, Xiaodan Liang, Hang Xu, Chunjing Xu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization.

Haoyue Bai, Fengwei Zhou, Lanqing Hong, Nanyang Ye, S.-H. Gary Chan, Zhenguo Li

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation.

Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye, Han-Jia Ye, S.-H. Gary Chan, Zhenguo Li

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

CNN-based Single Image Crowd Counting: Network Design, Loss Function and Supervisory Signal.

Haoyue Bai, S.-H. Gary Chan

CoRR, 2020

Understanding a Deep Neural Network Based on Neural-Path Coding.

Dawei Dai, Chengfu Tang, Dongyao Zhao, Shuyin Xia, Haoyue Bai

IEEE Access, 2020

2019

Crowd Counting on Images with Scale Variation and Isolated Clusters.

Haoyue Bai, Song Wen, S.-H. Gary Chan

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019