Haoping Bai

According to our database, Haoping Bai authored at least 21 papers between 2017 and 2025.

Collaborative distances:

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

2025

Synth4Seg - Learning Defect Data Synthesis for Defect Segmentation Using Bi-Level Optimization.

Shancong Mou, Raviteja Vemulapalli, Shiyu Li, Yuxuan Liu, C. Thomas, Meng Cao, Haoping Bai, Oncel Tuzel, Ping Huang, Jiulong Shan, Jianjun Shi

IEEE Trans Autom. Sci. Eng., 2025

MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains.

Guoli Yin, Haoping Bai, Shuang Ma, Feng Nan, Yanchao Sun, Zhaoyang Xu, Shen Ma, Jiarui Lu, Xiang Kong, Aonan Zhang, Dian Ang Yap, Yizhe Zhang, Karsten Ahnert, Vik Kamath, Mathias Berglund, Dominic Walsh, Tobias Gindele, Juergen Wiest, Zhengfeng Lai, Xiaoming Wang, Jiulong Shan, Meng Cao, Ruoming Pang, Zirui Wang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities.

Jiarui Lu, Thomas Holleis, Yizhe Zhang, Bernhard Aumayer, Feng Nan, Haoping Bai, Shuang Ma, Shen Ma, Mengyu Li, Guoli Yin, Zirui Wang, Ruoming Pang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights.

Aiwei Liu, Haoping Bai, Zhiyun Lu, Yanchao Sun, Xiang Kong, Xiaoming Simon Wang, Jiulong Shan, Albin Madappally Jose, Xiaojiang Liu, Lijie Wen, Philip S. Yu, Meng Cao

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MR. Judge: Multimodal Reasoner as a Judge.

Renjie Pi, Haoping Bai, Qibin Chen, Xiaoming Simon Wang, Jiulong Shan, Xiaojiang Liu, Meng Cao

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights.

Aiwei Liu, Haoping Bai, Zhiyun Lu, Yanchao Sun, Xiang Kong, Simon Wang, Jiulong Shan, Albin Madappally Jose, Xiaojiang Liu, Lijie Wen, Philip S. Yu, Meng Cao

CoRR, 2024

Empowering Unsupervised Domain Adaptation with Large-scale Pre-trained Vision-Language Models.

Zhengfeng Lai, Haoping Bai, Haotian Zhang, Xianzhi Du, Jiulong Shan, Yinfei Yang, Chen-Nee Chuah, Meng Cao

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

VeCLIP: Improving CLIP Training via Visual-Enriched Captions.

Zhengfeng Lai, Haotian Zhang, Bowen Zhang, Wentao Wu, Haoping Bai, Aleksei Timofeev, Xianzhi Du, Zhe Gan, Jiulong Shan, Chen-Nee Chuah, Yinfei Yang, Meng Cao

Proceedings of the Computer Vision - ECCV 2024, 2024

Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation.

Aiwei Liu, Haoping Bai, Zhiyun Lu, Xiang Kong, Simon Wang, Jiulong Shan, Meng Cao, Lijie Wen

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

From Scarcity to Efficiency: Improving CLIP Training via Visual-enriched Captions.

Zhengfeng Lai, Haotian Zhang, Wentao Wu, Haoping Bai, Aleksei Timofeev, Xianzhi Du, Zhe Gan, Jiulong Shan, Chen-Nee Chuah, Yinfei Yang, Meng Cao

CoRR, 2023

VISION Datasets: A Benchmark for Vision-based InduStrial InspectiON.

Haoping Bai, Shancong Mou, Tatiana Likhomanenko, Ramazan Gokberk Cinbis, Oncel Tuzel, Ping Huang, Jiulong Shan, Jianjun Shi, Meng Cao

CoRR, 2023

RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection.

Shancong Mou, Xiaoyi Gu, Meng Cao, Haoping Bai, Ping Huang, Jiulong Shan, Jianjun Shi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

PAEDID: Patch Autoencoder Based Deep Image Decomposition For Pixel-level Defective Region Segmentation.

Shancong Mou, Meng Cao, Haoping Bai, Ping Huang, Jianjun Shi, Jiulong Shan

CoRR, 2022

Analyzing Material Recognition Performance of Thermal Tactile Sensing using a Large Materials Database and a Real Robot.

Haoping Bai, Haofeng Chen, Elizabeth Healy, Charles C. Kemp, Tapomayukh Bhattacharjee

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

2021

Self-supervised Semi-supervised Learning for Data Labeling and Quality Evaluation.

Haoping Bai, Meng Cao, Ping Huang, Jiulong Shan

CoRR, 2021

BatchQuant: Quantized-for-all Architecture Search with Robust Quantizer.

Haoping Bai, Meng Cao, Ping Huang, Jiulong Shan

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection.

Yue Zhao, Xiyang Hu, Cheng Cheng, Cong Wang, Changlin Wan, Wen Wang, Jianing Yang, Haoping Bai, Zheng Li, Cao Xiao, Yunlong Wang, Zhi Qiao, Jimeng Sun, Leman Akoglu

Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

2020

SUOD: Toward Scalable Unsupervised Outlier Detection.

Yue Zhao, Xueying Ding, Jianing Yang, Haoping Bai

CoRR, 2020

MTL-NAS: Task-Agnostic Neural Architecture Search Towards General-Purpose Multi-Task Learning.

Yuan Gao, Haoping Bai, Zequn Jie, Jiayi Ma, Kui Jia, Wei Liu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

Towards Material Classification of Scenes Using Active Thermography.

Haoping Bai, Tapomayukh Bhattacharjee, Haofeng Chen, Ariel Kapusta, Charles C. Kemp

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017

A Model that Predicts the Material Recognition Performance of Thermal Tactile Sensing.

Tapomayukh Bhattacharjee, Haoping Bai, Haofeng Chen, Charles C. Kemp

CoRR, 2017