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Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning


Aug 26, 2022
Daochen Zha, Kwei-Herng Lai, Qiaoyu Tan, Sirui Ding, Na Zou, Xia Hu

* Accepted by CIKM 2022 

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AutoShard: Automated Embedding Table Sharding for Recommender Systems


Aug 12, 2022
Daochen Zha, Louis Feng, Bhargav Bhushanam, Dhruv Choudhary, Jade Nie, Yuandong Tian, Jay Chae, Yinbin Ma, Arun Kejariwal, Xia Hu

* Accepted by KDD 2022. Code available at https://github.com/daochenzha/autoshard 

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Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture


May 27, 2022
Yicheng Wang, Xiaotian Han, Chia-Yuan Chang, Daochen Zha, Ulisses Braga-Neto, Xia Hu


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BED: A Real-Time Object Detection System for Edge Devices


Feb 14, 2022
Guanchu Wang, Zaid Pervaiz Bhat, Zhimeng Jiang, Yi-Wei Chen, Daochen Zha, Alfredo Costilla Reyes, Afshin Niktash, Gorkem Ulkar, Erman Okman, Xia Hu


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Towards Similarity-Aware Time-Series Classification


Jan 06, 2022
Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu

* Accepted by SDM 2022 

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Modeling Techniques for Machine Learning Fairness: A Survey


Nov 04, 2021
Mingyang Wan, Daochen Zha, Ninghao Liu, Na Zou

* 21 pages, 4 figures 

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AutoVideo: An Automated Video Action Recognition System


Aug 10, 2021
Daochen Zha, Zaid Pervaiz Bhat, Yi-Wei Chen, Yicheng Wang, Sirui Ding, Anmoll Kumar Jain, Mohammad Qazim Bhat, Kwei-Herng Lai, Jiaben Chen, Na Zou, Xia Hu

* https://github.com/datamllab/autovideo 

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Dirichlet Energy Constrained Learning for Deep Graph Neural Networks


Jul 06, 2021
Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu


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DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning


Jun 11, 2021
Daochen Zha, Jingru Xie, Wenye Ma, Sheng Zhang, Xiangru Lian, Xia Hu, Ji Liu

* Accepted by ICML 2021 

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