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Wen-Han Hsieh
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[i6]Wen-Han Hsieh, Ya-Chun Liang:
Asymptotically Robust Learning-Augmented Algorithms for Preemptive FIFO Buffer Management. CoRR abs/2604.26349 (2026)- 2025
[c2]Wen-Han Hsieh, Elvis Hsieh, Dantong Niu, Trevor Darrell, Roei Herzig, David M. Chan:
Do What? Teaching Vision-Language-Action Models to Reject the Impossible. EMNLP (Findings) 2025: 11861-11869
[c1]Jerome Quenum, Wen-Han Hsieh, Tsung-Han Wu, Ritwik Gupta, Trevor Darrell, David M. Chan:
LISAt: Language-Instructed Segmentation Assistant for Satellite Imagery. NeurIPS 2025
[i5]Jerome Quenum, Wen-Han Hsieh, Tsung-Han Wu, Ritwik Gupta, Trevor Darrell, David M. Chan:
LISAT: Language-Instructed Segmentation Assistant for Satellite Imagery. CoRR abs/2505.02829 (2025)
[i4]Wen-Han Hsieh, Elvis Hsieh, Dantong Niu, Trevor Darrell, Roei Herzig, David M. Chan:
Do What? Teaching Vision-Language-Action Models to Reject the Impossible. CoRR abs/2508.16292 (2025)
[i3]Patterson Hsieh, Jerry Yeh, Mao-Chi He, Wen-Han Hsieh, Elvis Hsieh:
Seg the HAB: Language-Guided Geospatial Algae Bloom Reasoning and Segmentation. CoRR abs/2510.18751 (2025)
[i2]Elvis Hsieh, Wen-Han Hsieh, Yen-Jen Wang, Toru Lin, Jitendra Malik, Koushil Sreenath, Haozhi Qi
:
Learning Dexterous Manipulation Skills from Imperfect Simulations. CoRR abs/2512.02011 (2025)- 2024
[i1]Wen-Han Hsieh, Jen-Yuan Chang:
Optimizing TD3 for 7-DOF Robotic Arm Grasping: Overcoming Suboptimality with Exploration-Enhanced Contrastive Learning. CoRR abs/2408.14009 (2024)
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