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Hao Chen
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A survey on evaluation of large language models
Y Chang, X Wang, J Wang, Y Wu, L Yang, K Zhu, H Chen, X Yi, C Wang, ...
ACM Transactions on Intelligent Systems and Technology 15 (3), 1-45, 2024
7042024
Freematch: Self-adaptive thresholding for semi-supervised learning
Y Wang, H Chen, Q Heng, W Hou, Y Fan, Z Wu, J Wang, M Savvides, ...
Internation Conference on Learning Representation (ICLR), 2023
1742023
On the robustness of chatgpt: An adversarial and out-of-distribution perspective
J Wang, X Hu, W Hou, H Chen, R Zheng, Y Wang, L Yang, H Huang, ...
ICLR 2023 workshop on reliable large model, 2023
1642023
Promptbench: Towards evaluating the robustness of large language models on adversarial prompts
K Zhu, J Wang, J Zhou, Z Wang, H Chen, Y Wang, L Yang, W Ye, Y Zhang, ...
arXiv preprint arXiv:2306.04528, 2023
1222023
Softmatch: Addressing the quantity-quality trade-off in semi-supervised learning
H Chen, R Tao, Y Fan, Y Wang, J Wang, B Schiele, X Xie, B Raj, ...
Internation Conference on Learning Representation (ICLR), 2023
992023
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization
Y Wang, Z Yu, Z Zeng, L Yang, C Wang, H Chen, C Jiang, R Xie, J Wang, ...
Internation Conference on Learning Representation (ICLR), 2024
892024
Usb: A unified semi-supervised learning benchmark for classification
Y Wang, H Chen, Y Fan, W Sun, R Tao, W Hou, R Wang, L Yang, Z Zhou, ...
Advances in Neural Information Processing Systems 35, 3938-3961, 2022
88*2022
3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised Learning
X Xu, H Chen, F Moreno-Noguer, LA Jeni, F De la Torre
European Conference on Computer Vision, 284-300, 2020
542020
Conv-adapter: Exploring parameter efficient transfer learning for convnets
H Chen, R Tao, H Zhang, Y Wang, X Li, W Ye, J Wang, G Hu, M Savvides
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
352024
3D human pose, shape and texture from low-resolution images and videos
X Xu, H Chen, F Moreno-Noguer, LA Jeni, F De la Torre
IEEE transactions on pattern analysis and machine intelligence 44 (9), 4490-4504, 2021
352021
Adversarial Large-Scale Root Gap Inpainting
H Chen, M Valerio Giuffrida, P Doerner, SA Tsaftaris
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
172019
Exploring vision-language models for imbalanced learning
Y Wang, Z Yu, J Wang, Q Heng, H Chen, W Ye, R Xie, X Xie, S Zhang
International Journal of Computer Vision 132 (1), 224-237, 2024
162024
Root gap correction with a deep inpainting model
H Chen, MV Giuffrida, P Doerner, SA Tsaftaris
162018
Competeai: Understanding the competition behaviors in large language model-based agents
Q Zhao, J Wang, Y Zhang, Y Jin, K Zhu, H Chen, X Xie
ICML 2024, 2023
152023
Promptbench: A unified library for evaluation of large language models
K Zhu, Q Zhao, H Chen, J Wang, X Xie
arXiv preprint arXiv:2312.07910, 2023
92023
Blind inpainting of large-scale masks of thin structures with adversarial and reinforcement learning
H Chen, MV Giuffrida, P Doerner, SA Tsaftaris
arXiv preprint arXiv:1912.02470, 2019
92019
Imprecise label learning: A unified framework for learning with various imprecise label configurations
H Chen, A Shah, J Wang, R Tao, Y Wang, X Xie, M Sugiyama, R Singh, ...
arXiv preprint arXiv:2305.12715, 2023
82023
Unitail: Detecting, Reading, And matching in retail scene
F Chen, H Zhang, Z Li, J Dou, S Mo, H Chen, Y Zhang, U Ahmed, C Zhu, ...
European Conference on Computer Vision, 705-722, 2022
82022
On Catastrophic Inheritance of Large Foundation Models
H Chen, B Raj, X Xie, J Wang
arXiv preprint arXiv:2402.01909, 2024
52024
An embarrassingly simple baseline for imbalanced semi-supervised learning
H Chen, Y Fan, Y Wang, J Wang, B Schiele, X Xie, M Savvides, B Raj
arXiv preprint arXiv:2211.11086, 2022
52022
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