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Doppler velocity-based algorithm for Clustering and Velocity Estimation of moving objects


Dec 24, 2021
Mian Guo, Kai Zhong, Xiaozhi Wang

* 7 pages, 9 figures, 2 tables, 2 algorithms, CACRE2022 

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Extreme Multi-label Learning for Semantic Matching in Product Search


Jun 23, 2021
Wei-Cheng Chang, Daniel Jiang, Hsiang-Fu Yu, Choon-Hui Teo, Jiong Zhang, Kai Zhong, Kedarnath Kolluri, Qie Hu, Nikhil Shandilya, Vyacheslav Ievgrafov, Japinder Singh, Inderjit S. Dhillon

* Accepted in KDD 2021 Applied Data Science Track 

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BoolNet: Minimizing The Energy Consumption of Binary Neural Networks


Jun 13, 2021
Nianhui Guo, Joseph Bethge, Haojin Yang, Kai Zhong, Xuefei Ning, Christoph Meinel, Yu Wang


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Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees


Jun 09, 2021
Philip A. Etter, Kai Zhong, Hsiang-Fu Yu, Lexing Ying, Inderjit Dhillon


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Machine Learning for Electronic Design Automation: A Survey


Jan 10, 2021
Guyue Huang, Jingbo Hu, Yifan He, Jialong Liu, Mingyuan Ma, Zhaoyang Shen, Juejian Wu, Yuanfan Xu, Hengrui Zhang, Kai Zhong, Xuefei Ning, Yuzhe Ma, Haoyu Yang, Bei Yu, Huazhong Yang, Yu Wang


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PECOS: Prediction for Enormous and Correlated Output Spaces


Oct 12, 2020
Hsiang-Fu Yu, Kai Zhong, Inderjit S. Dhillon


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Towards Lower Bit Multiplication for Convolutional Neural Network Training


Jun 04, 2020
Kai Zhong, Tianchen Zhao, Xuefei Ning, Shulin Zeng, Kaiyuan Guo, Yu Wang, Huazhong Yang

* 11 pages, 9 figures 

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Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud


Mar 26, 2020
Shulin Zeng, Guohao Dai, Hanbo Sun, Kai Zhong, Guangjun Ge, Kaiyuan Guo, Yu Wang, Huazhong Yang


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A Modular Deep Learning Approach for Extreme Multi-label Text Classification


May 07, 2019
Wei-Cheng Chang, Hsiang-Fu Yu, Kai Zhong, Yiming Yang, Inderjit Dhillon


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