Haoping Bai

27 papers A* 5A 2Journal 14Unranked 6
YearRankTypeTitle / Venue / Authors
2025 — conf
MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains.
NAACL (Findings)
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
2025 A* conf
MR. Judge: Multimodal Reasoner as a Judge.
EMNLP
Renjie Pi, Haoping Bai, Qibin Chen, Xiaoming Simon Wang, Jiulong Shan, Xiaojiang Liu, Meng Cao
2025 J jnl
Synth4Seg - Learning Defect Data Synthesis for Defect Segmentation Using Bi-Level Optimization.
IEEE Trans Autom. Sci. Eng.
Shancong Mou, Raviteja Vemulapalli, Shiyu Li, Yuxuan Liu, C. Thomas, Meng Cao, Haoping Bai, Oncel Tuzel, Ping Huang, Jiulong Shan, Jianjun Shi
2025 A* conf
TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights.
ICLR
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
2025 — conf
ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities.
NAACL (Findings)
Jiarui Lu, Thomas Holleis, Yizhe Zhang, Bernhard Aumayer, Feng Nan, Haoping Bai, Shuang Ma, Shen Ma, Mengyu Li, Guoli Yin, Zirui Wang, Ruoming Pang
2024 — conf
Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation.
ACL (1)
Aiwei Liu, Haoping Bai, Zhiyun Lu, Xiang Kong, Simon Wang, Jiulong Shan, Meng Cao, Lijie Wen
2024 J jnl
Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation.
CoRR
Aiwei Liu, Haoping Bai, Zhiyun Lu, Xiang Kong, Simon Wang, Jiulong Shan, Meng Cao, Lijie Wen
2024 A conf
Empowering Unsupervised Domain Adaptation with Large-scale Pre-trained Vision-Language Models.
WACV
Zhengfeng Lai, Haoping Bai, Haotian Zhang, Xianzhi Du, Jiulong Shan, Yinfei Yang, Chen-Nee Chuah, Meng Cao
2024 J jnl
MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains.
CoRR
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
2024 J jnl
Synth4Seg - Learning Defect Data Synthesis for Defect Segmentation using Bi-level Optimization.
CoRR
Shancong Mou, Raviteja Vemulapalli, Shiyu Li, Yuxuan Liu, C. Thomas, Meng Cao, Haoping Bai, Oncel Tuzel, Ping Huang, Jiulong Shan, Jianjun Shi
2024 J jnl
TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights.
CoRR
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
2024 — conf
VeCLIP: Improving CLIP Training via Visual-Enriched Captions.
ECCV (42)
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
2023 J jnl
From Scarcity to Efficiency: Improving CLIP Training via Visual-enriched Captions.
CoRR
Zhengfeng Lai, Haotian Zhang, Wentao Wu, Haoping Bai, Aleksei Timofeev, Xianzhi Du, Zhe Gan, Jiulong Shan, Chen-Nee Chuah, Yinfei Yang, Meng Cao
2023 A* conf
RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection.
ICLR
Shancong Mou, Xiaoyi Gu, Meng Cao, Haoping Bai, Ping Huang, Jiulong Shan, Jianjun Shi
2023 J jnl
RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection.
CoRR
Shancong Mou, Xiaoyi Gu, Meng Cao, Haoping Bai, Ping Huang, Jiulong Shan, Jianjun Shi
2023 J jnl
VISION Datasets: A Benchmark for Vision-based InduStrial InspectiON.
CoRR
Haoping Bai, Shancong Mou, Tatiana Likhomanenko, Ramazan Gokberk Cinbis, Oncel Tuzel, Ping Huang, Jiulong Shan, Jianjun Shi, Meng Cao
2022 — conf
Analyzing Material Recognition Performance of Thermal Tactile Sensing using a Large Materials Database and a Real Robot.
ROBIO
Haoping Bai, Haofeng Chen, Elizabeth Healy, Charles C. Kemp, Tapomayukh Bhattacharjee
2022 J jnl
PAEDID: Patch Autoencoder Based Deep Image Decomposition For Pixel-level Defective Region Segmentation.
CoRR
Shancong Mou, Meng Cao, Haoping Bai, Ping Huang, Jianjun Shi, Jiulong Shan
2021 A* conf
BatchQuant: Quantized-for-all Architecture Search with Robust Quantizer.
NeurIPS
Haoping Bai, Meng Cao, Ping Huang, Jiulong Shan
2021 J jnl
BatchQuant: Quantized-for-all Architecture Search with Robust Quantizer.
CoRR
Haoping Bai, Meng Cao, Ping Huang, Jiulong Shan
2021 — conf
SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection.
MLSys
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
2021 J jnl
Self-supervised Semi-supervised Learning for Data Labeling and Quality Evaluation.
CoRR
Haoping Bai, Meng Cao, Ping Huang, Jiulong Shan
2020 A* conf
MTL-NAS: Task-Agnostic Neural Architecture Search Towards General-Purpose Multi-Task Learning.
CVPR
Yuan Gao, Haoping Bai, Zequn Jie, Jiayi Ma, Kui Jia, Wei Liu
2020 J jnl
MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning.
CoRR
Yuan Gao, Haoping Bai, Zequn Jie, Jiayi Ma, Kui Jia, Wei Liu
2020 J jnl
SUOD: Toward Scalable Unsupervised Outlier Detection.
CoRR
Yue Zhao, Xueying Ding, Jianing Yang, Haoping Bai
2018 A conf
Towards Material Classification of Scenes Using Active Thermography.
IROS
Haoping Bai, Tapomayukh Bhattacharjee, Haofeng Chen, Ariel Kapusta, Charles C. Kemp
2017 J jnl
A Model that Predicts the Material Recognition Performance of Thermal Tactile Sensing.
CoRR
Tapomayukh Bhattacharjee, Haoping Bai, Haofeng Chen, Charles C. Kemp