Haoyue Bai - RankMe

35 papers A* 9B 1Journal 23Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	OoDBench+: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization. IEEE Trans. Pattern Anal. Mach. Intell. Nanyang Ye, Kaican Li, Fan Wu, Jundong Zhou, Haoyue Bai, Runpeng Yu, Lanqing Hong, Fengwei Zhou, Zhenguo Li, Jun Zhu, Xinbing Wang, Chenghu Zhou
2025	J	`jnl`	DELTA-Code: How Does RL Unlock and Transfer New Programming Algorithms in LLMs? CoRR Yiyou Sun, Yuhan Cao, Pohao Huang, Haoyue Bai, Hannaneh Hajishirzi, Nouha Dziri, Dawn Song
2025	J	`jnl`	Deep Active Learning in the Open World. Trans. Mach. Learn. Res. Tian Xie, Jifan Zhang, Haoyue Bai, Robert D. Nowak
2025	J	`jnl`	Out-of-Distribution Learning with Human Feedback. Trans. Mach. Learn. Res. Haoyue Bai, Xuefeng Du, Katie Rainey, Shibin Parameswaran, Yixuan Li
2025	A*	`conf`	Where's the Liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content. CVPR Haoyue Bai, Yiyou Sun, Wei Cheng, Haifeng Chen
2025	J	`jnl`	Where's the liability in the Generative Era? Recovery-based Black-Box Detection of AI-Generated Content. CoRR Haoyue Bai, Yiyou Sun, Wei Cheng, Haifeng Chen
2024	A*	`conf`	AHA: Human-Assisted Out-of-Distribution Generalization and Detection. NeurIPS Haoyue Bai, Jifan Zhang, Robert D. Nowak
2024	J	`jnl`	AHA: Human-Assisted Out-of-Distribution Generalization and Detection. CoRR Haoyue Bai, Jifan Zhang, Robert Nowak
2024	J	`jnl`	Deep Active Learning in the Open World. CoRR Tian Xie, Jifan Zhang, Haoyue Bai, Robert D. Nowak
2024	A*	`conf`	HYPO: Hyperspherical Out-Of-Distribution Generalization. ICLR Haoyue Bai, Yifei Ming, Julian Katz-Samuels, Yixuan Li
2024	J	`jnl`	HYPO: Hyperspherical Out-of-Distribution Generalization. CoRR Yifei Ming, Haoyue Bai, Julian Katz-Samuels, Yixuan Li
2024	J	`jnl`	Out-of-Distribution Learning with Human Feedback. CoRR Haoyue Bai, Xuefeng Du, Katie Rainey, Shibin Parameswaran, Yixuan Li
2024	J	`jnl`	Towards Robust Out-of-Distribution Generalization: Data Augmentation and Neural Architecture Search Approaches. CoRR Haoyue Bai
2023	A*	`conf`	Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection. ICML Haoyue Bai, Gregory Canal, Xuefeng Du, Jeongyeol Kwon, Robert D. Nowak, Yixuan Li
2023	J	`jnl`	Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection. CoRR Haoyue Bai, Gregory Canal, Xuefeng Du, Jeongyeol Kwon, Robert D. Nowak, Yixuan Li
2023	J	`jnl`	Improving Out-of-Distribution Robustness of Classifiers via Generative Interpolation. CoRR Haoyue Bai, Ceyuan Yang, Yinghao Xu, S.-H. Gary Chan, Bolei Zhou
2022	J	`jnl`	A survey on deep learning-based single image crowd counting: Network design, loss function and supervisory signal. Neurocomputing Haoyue Bai, Jiageng Mao, S.-H. Gary Chan
2022	—	`conf`	CounTr: An End-to-End Transformer Approach for Crowd Counting and Density Estimation. ECCV Workshops (6) Haoyue Bai, Hao He, Zhuoxuan Peng, Tianyuan Dai, S.-H. Gary Chan
2022	A*	`conf`	OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization. CVPR Nanyang Ye, Kaican Li, Haoyue Bai, Runpeng Yu, Lanqing Hong, Fengwei Zhou, Zhenguo Li, Jun Zhu
2021	J	`jnl`	Crowd Counting by Self-supervised Transfer Colorization Learning and Global Prior Classification. CoRR Haoyue Bai, Song Wen, S.-H. Gary Chan
2021	A*	`conf`	DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation. AAAI Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye, Han-Jia Ye, S.-H. Gary Chan, Zhenguo Li
2021	B	`conf`	Designing a Partially Understandable Neural Network through Semantic Embedding. IJCNN Chengfu Tang, Dawei Dai, Haoyue Bai, Guoyin Wang, Shuyin Xia, Feng Hu
2021	J	`jnl`	Motion-guided Non-local Spatial-Temporal Network for Video Crowd Counting. CoRR Haoyue Bai, S.-H. Gary Chan
2021	A*	`conf`	NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization. ICCV Haoyue Bai, Fengwei Zhou, Lanqing Hong, Nanyang Ye, S.-H. Gary Chan, Zhenguo Li
2021	J	`jnl`	NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization. CoRR Haoyue Bai, Fengwei Zhou, Lanqing Hong, Nanyang Ye, S.-H. Gary Chan, Zhenguo Li
2021	J	`jnl`	OoD-Bench: Benchmarking and Understanding Out-of-Distribution Generalization Datasets and Algorithms. CoRR Nanyang Ye, Kaican Li, Lanqing Hong, Haoyue Bai, Yiting Chen, Fengwei Zhou, Zhenguo Li
2021	A*	`conf`	Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection. ICCV Jiageng Mao, Minzhe Niu, Haoyue Bai, Xiaodan Liang, Hang Xu, Chunjing Xu
2021	J	`jnl`	Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection. CoRR Jiageng Mao, Minzhe Niu, Haoyue Bai, Xiaodan Liang, Hang Xu, Chunjing Xu
2021	A*	`conf`	Voxel Transformer for 3D Object Detection. ICCV Jiageng Mao, Yujing Xue, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, Chunjing Xu
2021	J	`jnl`	Voxel Transformer for 3D Object Detection. CoRR Jiageng Mao, Yujing Xue, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, Chunjing Xu
2020	J	`jnl`	CNN-based Single Image Crowd Counting: Network Design, Loss Function and Supervisory Signal. CoRR Haoyue Bai, S.-H. Gary Chan
2020	J	`jnl`	DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation. CoRR Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye, Han-Jia Ye, S.-H. Gary Chan, Zhenguo Li
2020	J	`jnl`	Understanding a Deep Neural Network Based on Neural-Path Coding. IEEE Access Dawei Dai, Chengfu Tang, Dongyao Zhao, Shuyin Xia, Haoyue Bai
2019	—	`conf`	Crowd Counting on Images with Scale Variation and Isolated Clusters. ICCV Workshops Haoyue Bai, Song Wen, S.-H. Gary Chan
2019	J	`jnl`	Crowd Counting on Images with Scale Variation and Isolated Clusters. CoRR Haoyue Bai, Song Wen, S.-H. Gary Chan