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2020 – today
- 2024
[c9]Aiwei Liu, Haoping Bai, Zhiyun Lu, Xiang Kong, Xiaoming Wang, Jiulong Shan, Meng Cao, Lijie Wen:
Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation. ACL (1) 2024: 9688-9712- [c8]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:
VeCLIP: Improving CLIP Training via Visual-Enriched Captions. ECCV (42) 2024: 111-127 - [c7]Zhengfeng Lai, Haoping Bai, Haotian Zhang, Xianzhi Du, Jiulong Shan, Yinfei Yang, Chen-Nee Chuah, Meng Cao:
Empowering Unsupervised Domain Adaptation with Large-scale Pre-trained Vision-Language Models. WACV 2024: 2679-2689 - [i12]Aiwei Liu, Haoping Bai, Zhiyun Lu, Xiang Kong, Simon Wang, Jiulong Shan, Meng Cao, Lijie Wen:
Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation. CoRR abs/2402.11907 (2024) - [i11]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:
MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains. CoRR abs/2407.18961 (2024) - [i10]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:
TIS-DPO: Token-level Importance Sampling for Direct Preference Optimization With Estimated Weights. CoRR abs/2410.04350 (2024) - 2023
- [c6]Shancong Mou, Xiaoyi Gu, Meng Cao, Haoping Bai, Ping Huang, Jiulong Shan, Jianjun Shi:
RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection. ICLR 2023 - [i9]Shancong Mou, Xiaoyi Gu, Meng Cao, Haoping Bai, Ping Huang, Jiulong Shan, Jianjun Shi:
RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection. CoRR abs/2302.12464 (2023) - [i8]Haoping Bai, Shancong Mou, Tatiana Likhomanenko, Ramazan Gokberk Cinbis, Oncel Tuzel, Ping Huang, Jiulong Shan, Jianjun Shi, Meng Cao:
VISION Datasets: A Benchmark for Vision-based InduStrial InspectiON. CoRR abs/2306.07890 (2023) - [i7]Zhengfeng Lai, Haotian Zhang, Wentao Wu, Haoping Bai, Aleksei Timofeev, Xianzhi Du, Zhe Gan, Jiulong Shan, Chen-Nee Chuah, Yinfei Yang, Meng Cao:
From Scarcity to Efficiency: Improving CLIP Training via Visual-enriched Captions. CoRR abs/2310.07699 (2023) - 2022
- [c5]Haoping Bai, Haofeng Chen, Elizabeth Healy, Charles C. Kemp, Tapomayukh Bhattacharjee:
Analyzing Material Recognition Performance of Thermal Tactile Sensing using a Large Materials Database and a Real Robot. ROBIO 2022: 2255-2262 - [i6]Shancong Mou, Meng Cao, Haoping Bai, Ping Huang, Jianjun Shi, Jiulong Shan:
PAEDID: Patch Autoencoder Based Deep Image Decomposition For Pixel-level Defective Region Segmentation. CoRR abs/2203.14457 (2022) - 2021
- [c4]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:
SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection. MLSys 2021 - [c3]Haoping Bai, Meng Cao, Ping Huang, Jiulong Shan:
BatchQuant: Quantized-for-all Architecture Search with Robust Quantizer. NeurIPS 2021: 1074-1085 - [i5]Haoping Bai, Meng Cao, Ping Huang, Jiulong Shan:
BatchQuant: Quantized-for-all Architecture Search with Robust Quantizer. CoRR abs/2105.08952 (2021) - [i4]Haoping Bai, Meng Cao, Ping Huang, Jiulong Shan:
Self-supervised Semi-supervised Learning for Data Labeling and Quality Evaluation. CoRR abs/2111.10932 (2021) - 2020
- [c2]Yuan Gao, Haoping Bai, Zequn Jie, Jiayi Ma, Kui Jia, Wei Liu:
MTL-NAS: Task-Agnostic Neural Architecture Search Towards General-Purpose Multi-Task Learning. CVPR 2020: 11540-11549 - [i3]Yue Zhao, Xueying Ding, Jianing Yang, Haoping Bai:
SUOD: Toward Scalable Unsupervised Outlier Detection. CoRR abs/2002.03222 (2020) - [i2]Yuan Gao, Haoping Bai, Zequn Jie, Jiayi Ma, Kui Jia, Wei Liu:
MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning. CoRR abs/2003.14058 (2020)
2010 – 2019
- 2018
- [c1]Haoping Bai, Tapomayukh Bhattacharjee, Haofeng Chen, Ariel Kapusta, Charles C. Kemp:
Towards Material Classification of Scenes Using Active Thermography. IROS 2018: 4262-4269 - 2017
- [i1]Tapomayukh Bhattacharjee, Haoping Bai, Haofeng Chen, Charles C. Kemp:
A Model that Predicts the Material Recognition Performance of Thermal Tactile Sensing. CoRR abs/1711.01490 (2017)
Coauthor Index
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