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Di Wu

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Anomaly Detection for Scalable Task Grouping in Reinforcement Learning-based RAN Optimization

Dec 06, 2023
Jimmy Li, Igor Kozlov, Di Wu, Xue Liu, Gregory Dudek

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Attend Who is Weak: Enhancing Graph Condensation via Cross-Free Adversarial Training

Nov 27, 2023
Xinglin Li, Kun Wang, Hanhui Deng, Yuxuan Liang, Di Wu

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Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks

Nov 01, 2023
Po-Nien Kung, Fan Yin, Di Wu, Kai-Wei Chang, Nanyun Peng

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Online Thermal Field Prediction for Metal Additive Manufacturing of Thin Walls

Oct 24, 2023
Yifan Tang, M. Rahmani Dehaghani, Pouyan Sajadi, Shahriar Bakrani Balani, Akshay Dhalpe, Suraj Panicker, Di Wu, Eric Coatanea, G. Gary Wang

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Rethinking Model Selection and Decoding for Keyphrase Generation with Pre-trained Sequence-to-Sequence Models

Oct 22, 2023
Di Wu, Wasi Uddin Ahmad, Kai-Wei Chang

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A Better Match for Drivers and Riders: Reinforcement Learning at Lyft

Oct 20, 2023
Xabi Azagirre, Akshay Balwally, Guillaume Candeli, Nicholas Chamandy, Benjamin Han, Alona King, Hyungjun Lee, Martin Loncaric, Sébastien Martin, Vijay Narasiman, Zhiwei, Qin, Baptiste Richard, Sara Smoot, Sean Taylor, Garrett van Ryzin, Di Wu, Fei Yu, Alex Zamoshchin

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UvA-MT's Participation in the WMT23 General Translation Shared Task

Oct 15, 2023
Di Wu, Shaomu Tan, David Stap, Ali Araabi, Christof Monz

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Decoding Modular Reconfigurable Robots: A Survey on Mechanisms and Design

Oct 15, 2023
Guanqi Liang, Di Wu, Yuxiao Tu, Tin Lun Lam

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Realizing XR Applications Using 5G-Based 3D Holographic Communication and Mobile Edge Computing

Oct 05, 2023
Dun Yuan, Ekram Hossain, Di Wu, Xue Liu, Gregory Dudek

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