Haoyue Bai

According to our database, Haoyue Bai authored at least 34 papers between 2014 and 2024.

Collaborative distances:

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

2024

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

Haoyue Bai, Jifan Zhang, Robert Nowak

CoRR, 2024

Out-of-Distribution Learning with Human Feedback.

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

CoRR, 2024

Boosting Multimedia Recommendation via Separate Generic and Unique Awareness.

Zhuangzhuang He, Zihan Wang, Yonghui Yang, Haoyue Bai, Le Wu

CoRR, 2024

Multimodality Invariant Learning for Multimedia-Based New Item Recommendation.

Haoyue Bai, Le Wu, Min Hou, Miaomiao Cai, Zhuangzhuang He, Yuyang Zhou, Richang Hong, Meng Wang

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Double Correction Framework for Denoising Recommendation.

Zhuangzhuang He, Yifan Wang, Yonghui Yang, Peijie Sun, Le Wu, Haoyue Bai, Jinqi Gong, Richang Hong, Min Zhang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias.

Miaomiao Cai, Lei Chen, Yifan Wang, Haoyue Bai, Peijie Sun, Le Wu, Min Zhang, Meng Wang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

Image change detection with only a few samples.

Ke Liu, Zhaoyi Song, Haoyue Bai

CoRR, 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

GoRec: A Generative Cold-start Recommendation Framework.

Haoyue Bai, Min Hou, Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Meng Wang

Proceedings of the 31st ACM International Conference on Multimedia, 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

Beyond Normal Distribution: More Factual Feature Generation Network for Generalized Zero-Shot Learning.

Jingren Liu, Haoyue Bai, Haofeng Zhang, Li Liu

IEEE Multim., 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

A plug-in attribute correction module for generalized zero-shot learning.

Haofeng Zhang, Haoyue Bai, Yang Long, Li Liu, Ling Shao

Pattern Recognit., 2021

Dual discriminative auto-encoder network for zero shot image recognition.

Haoyue Bai, Haofeng Zhang, Qiong Wang

J. Intell. Fuzzy Syst., 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

Near-Real Feature Generative Network for Generalized Zero-Shot Learning.

Jingren Liu, Haoyue Bai, Haofeng Zhang, Li Liu

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 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

MVQAS: A Medical Visual Question Answering System.

Haoyue Bai, Xiaoyan Shan, Yefan Huang, Xiaoli Wang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 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

2016

Corrigendum to "On a lemma of Crochemore and Rytter" [Journal of Discrete Algorithms 34 (2015) 18-22].

Haoyue Bai, Antoine Deza, Frantisek Franek

J. Discrete Algorithms, 2016

The New Periodicity Lemma revisited.

Haoyue Bai, Frantisek Franek, William F. Smyth

Discret. Appl. Math., 2016

2015

On a lemma of Crochemore and Rytter.

Haoyue Bai, Antoine Deza, Frantisek Franek

J. Discrete Algorithms, 2015

2014

Two Squares Canonical Factorization.

Haoyue Bai, Frantisek Franek, William F. Smyth

Proceedings of the Prague Stringology Conference 2014, Prague, Czech Republic, 2014