A Model that Predicts the Material Recognition Performance of Thermal Tactile Sensing. - Tapomayukh Bhattacharjee; Haoping Bai; Haofeng Chen; Charles C. Kemp (CoRR, 2017)

Towards Material Classification of Scenes Using Active Thermography. - Haoping Bai; Tapomayukh Bhattacharjee; Haofeng Chen; Ariel Kapusta; Charles C. Kemp (IROS, 2018)

MTL-NAS: Task-Agnostic Neural Architecture Search Towards General-Purpose Multi-Task Learning. - Yuan Gao 015; Haoping Bai; Zequn Jie; Jiayi Ma 001; Kui Jia; Wei Liu 005 (CVPR, 2020)

SUOD: Toward Scalable Unsupervised Outlier Detection. - Yue Zhao 016; Xueying Ding; Jianing Yang; Haoping Bai (CoRR, 2020)

SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection. - Yue Zhao 016; Xiyang Hu; Cheng Cheng 001; Cong Wang; Changlin Wan; Wen Wang; Jianing Yang; Haoping Bai; Zheng Li; Cao Xiao; Yunlong Wang 001; Zhi Qiao 007; et al. (MLSys, 2021)

BatchQuant: Quantized-for-all Architecture Search with Robust Quantizer. - Haoping Bai; Meng Cao; Ping Huang; Jiulong Shan (NeurIPS, 2021)

Self-supervised Semi-supervised Learning for Data Labeling and Quality Evaluation. - Haoping Bai; Meng Cao; Ping Huang; Jiulong Shan (CoRR, 2021)

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 (ROBIO, 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)

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 (ICLR, 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 001; Meng Cao (CoRR, 2023)

From Scarcity to Efficiency: Improving CLIP Training via Visual-enriched Captions. - Zhengfeng Lai; Haotian Zhang 005; Wentao Wu; Haoping Bai; Aleksei Timofeev; Xianzhi Du; Zhe Gan; Jiulong Shan; Chen-Nee Chuah; Yinfei Yang; Meng Cao (CoRR, 2023)

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 001 (ACL (1), 2024)

VeCLIP: Improving CLIP Training via Visual-Enriched Captions. - Zhengfeng Lai; Haotian Zhang 005; Bowen Zhang 002; Wentao Wu; Haoping Bai; Aleksei Timofeev; Xianzhi Du; Zhe Gan; Jiulong Shan; Chen-Nee Chuah; Yinfei Yang; Meng Cao (ECCV (42), 2024)

Empowering Unsupervised Domain Adaptation with Large-scale Pre-trained Vision-Language Models. - Zhengfeng Lai; Haoping Bai; Haotian Zhang 005; Xianzhi Du; Jiulong Shan; Yinfei Yang; Chen-Nee Chuah; Meng Cao (WACV, 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 001; Philip S. Yu; Meng Cao (CoRR, 2024)

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 001; Philip S. Yu; Meng Cao (ICLR, 2025)

ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities. - Jiarui Lu; Thomas Holleis; Yizhe Zhang 002; Bernhard Aumayer; Feng Nan; Haoping Bai; Shuang Ma; Shen Ma; Mengyu Li; Guoli Yin; Zirui Wang; Ruoming Pang (NAACL (Findings), 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 002; et al. (NAACL (Findings), 2025)

Synth4Seg - Learning Defect Data Synthesis for Defect Segmentation Using Bi-Level Optimization. - Shancong Mou; Raviteja Vemulapalli; Shiyu Li; Yuxuan Liu 014; C. Thomas; Meng Cao; Haoping Bai; Oncel Tuzel; Ping Huang; Jiulong Shan; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2025)