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Distributed Stochastic Optimization under a General Variance Condition


Jan 30, 2023
Kun Huang, Xiao Li, Shi Pu

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* 17 pages, 1 figure 

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CEDAS: A Compressed Decentralized Stochastic Gradient Method with Improved Convergence


Jan 14, 2023
Kun Huang, Shi Pu

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* 39 pages, 8 figures 

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Think Twice: A Human-like Two-stage Conversational Agent for Emotional Response Generation


Jan 12, 2023
Yushan Qian, Bo Wang, Shangzhao Ma, Wu Bin, Shuo Zhang, Dongming Zhao, Kun Huang, Yuexian Hou

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Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning


Dec 17, 2022
Kun Huang, Edward S. Hu, Dinesh Jayaraman

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* CoRL 2022 

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Aligning Recommendation and Conversation via Dual Imitation


Nov 05, 2022
Jinfeng Zhou, Bo Wang, Minlie Huang, Dongming Zhao, Kun Huang, Ruifang He, Yuexian Hou

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* EMNLP 2022 

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Deep 360$^\circ$ Optical Flow Estimation Based on Multi-Projection Fusion


Jul 27, 2022
Yiheng Li, Connelly Barnes, Kun Huang, Fang-Lue Zhang

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* Accepted to ECCV2022 

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Label Adversarial Learning for Skeleton-level to Pixel-level Adjustable Vessel Segmentation


May 07, 2022
Mingchao Li, Kun Huang, Zetian Zhang, Xiao Ma, Qiang Chen

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Accurate calibration of multi-perspective cameras from a generalization of the hand-eye constraint


Feb 08, 2022
Yifu Wang, Wenqing Jiang, Kun Huang, Soren Schwertfeger, Laurent Kneip

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* accepted in the 2022 IEEE International Conference on Robotics and Automation (ICRA), Philadelphia (PA), USA 

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Distributed Random Reshuffling over Networks


Jan 09, 2022
Kun Huang, Xiao Li, Andre Milzarek, Shi Pu, Junwen Qiu

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* 27 pages, 5 figures 

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