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Provable Generalization of Overparameterized Meta-learning Trained with SGD



Yu Huang , Yingbin Liang , Longbo Huang

* 45 pages, 3 figures 

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DeepTPI: Test Point Insertion with Deep Reinforcement Learning



Zhengyuan Shi , Min Li , Sadaf Khan , Liuzheng Wang , Naixing Wang , Yu Huang , Qiang Xu

* Accepted by ITC 2022 

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A Deep-Learning Usability Expansion Model of Ocean Observations



Ali Muhamed Ali , Hanqi Zhuang , Yu Huang , Ali K. Ibrahim , Ali Salem Altaher , Laurent Chérubin

* 34 pages, 14 figurs, one table 

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Detection Interval for Diffusion Molecular Communication: How Long is Enough?



Xuan Chen , Miaowen Wen , Fei Ji , Yu Huang , Yuankun Tang , Andrew W. Eckford


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LHNN: Lattice Hypergraph Neural Network for VLSI Congestion Prediction



Bowen Wang , Guibao Shen , Dong Li , Jianye Hao , Wulong Liu , Yu Huang , Hongzhong Wu , Yibo Lin , Guangyong Chen , Pheng Ann Heng

* Accepted as a conference paper in DAC 2022; 6 pages, 4 figures 

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A Multi-Characteristic Learning Method with Micro-Doppler Signatures for Pedestrian Identification



Yu Xiang , Yu Huang , Haodong Xu , Guangbo Zhang , Wenyong Wang


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Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably)



Yu Huang , Junyang Lin , Chang Zhou , Hongxia Yang , Longbo Huang

* 41 pages, 2 figures 

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Testability-Aware Low Power Controller Design with Evolutionary Learning



Min Li , Zhengyuan Shi , Zezhong Wang , Weiwei Zhang , Yu Huang , Qiang Xu

* Accepted by ITC 2021 (short paper). This is the long paper version. Code is available on https://github.com/lee-man/ga-testing 

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Representation Learning of Logic Circuits



Min Li , Sadaf Khan , Zhengyuan Shi , Naixing Wang , Yu Huang , Qiang Xu


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Soft Sensing Model Visualization: Fine-tuning Neural Network from What Model Learned



Xiaoye Qian , Chao Zhang , Jaswanth Yella , Yu Huang , Ming-Chun Huang , Sthitie Bom


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