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Weiwei Liu

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LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation

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Apr 08, 2024
Ke Guo, Zhenwei Miao, Wei Jing, Weiwei Liu, Weizi Li, Dayang Hao, Jia Pan

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Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data

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Mar 29, 2024
Xin Zou, Weiwei Liu

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Long-term Microscopic Traffic Simulation with History-Masked Multi-agent Imitation Learning

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Jun 10, 2023
Ke Guo, Wei Jing, Lingping Gao, Weiwei Liu, Weizi Li, Jia Pan

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Deep Partial Multi-Label Learning with Graph Disambiguation

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May 10, 2023
Haobo Wang, Shisong Yang, Gengyu Lyu, Weiwei Liu, Tianlei Hu, Ke Chen, Songhe Feng, Gang Chen

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Generalization Bounds for Adversarial Contrastive Learning

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Feb 21, 2023
Xin Zou, Weiwei Liu

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An Application of Deep Learning for Sweet Cherry Phenotyping using YOLO Object Detection

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Feb 13, 2023
Ritayu Nagpal, Sam Long, Shahid Jahagirdar, Weiwei Liu, Scott Fazackerley, Ramon Lawrence, Amritpal Singh

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Better Diffusion Models Further Improve Adversarial Training

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Feb 09, 2023
Zekai Wang, Tianyu Pang, Chao Du, Min Lin, Weiwei Liu, Shuicheng Yan

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WAT: Improve the Worst-class Robustness in Adversarial Training

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Feb 08, 2023
Boqi Li, Weiwei Liu

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CLNode: Curriculum Learning for Node Classification

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Jun 15, 2022
Xiaowen Wei, Weiwei Liu, Yibing Zhan, Du Bo, Wenbin Hu

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