Publications

[Google Schorlar]
* Equal contribution

DreamShard: Generalizable Embedding Table Placement for Recommender Systems

Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, Xia Hu
NeurIPS 2022, Neural Information Processing Systems
[PDF] | [Code]

Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning

Daochen Zha, Kwei-Herng Lai, Qiaoyu Tan, Sirui Ding, Na Zou, Xia Hu
CIKM 2022, ACM International Conference on Information and Knowledge Management
[PDF] | [Slide] | [Code]

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

Guanchu Wang*, Zaid Pervaiz Bhat*, Zhimeng Jiang*, Yi-Wei Chen*, Daochen Zha*, Alfredo Costilla Reyes*, Afshin Niktash, Gorkem Ulkar, Erman Okman, Xuanting Cai and Xia Hu
CIKM 2022, ACM International Conference on Information and Knowledge Management, demo
[PDF] | [Code]

AutoShard: Automated Embedding Table Sharding for Recommender Systems

Daochen Zha, Louis Feng, Bhargav Bhushanam, Dhruv Choudhary, Jade Nie, Yuandong Tian, Jay Chae, Yinbin Ma, Arun Kejariwal, Xia Hu
KDD 2022, ACM SIGKDD Conference on Knowledge Discovery and Data Mining
[PDF] | [Slide] | [Code]

Towards Learning Disentangled Representations for Time Series

Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Jingchao Ni, Denghui Zhang, Haifeng Chen, Xia Hu
KDD 2022, ACM SIGKDD Conference on Knowledge Discovery and Data Mining
[PDF]

AutoVideo: An Automated Video Action Recognition System

Daochen Zha*, Zaid Pervaiz Bhat*, Yi-Wei Chen*, Yicheng Wang*, Sirui Ding*, Jiaben Chen*, Kwei-Herng Lai*, Mohammad Qazim Bhat*, Anmoll Kumar Jain, Alfredo Costilla Reyes, Na Zou, Xia Hu
IJCAI 2022, International Joint Conference on Artificial Intelligence, demo track
[PDF] | [Code] | [Video]

Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning

Sirui Ding, Ruixiang Tang, Daochen Zha, Na Zou, Kai Zhang, Xiaoqian Jiang, Xia Hu
AMIA 2022, AMIA Annual Symposium

In-Processing Modeling Techniques for Machine Learning Fairness: A Survey

Mingyang Wan, Daochen Zha, Ninghao Liu, Na Zou
TKDD 2022, ACM Transactions on Knowledge Discovery from Data
[PDF]

Towards Similarity-Aware Time-Series Classification

Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu
SDM 2022, SIAM International Conference on Data Mining
[PDF] | [Slide] | [Code]

Dirichlet Energy Constrained Learning for Deep Graph Neural Networks

Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
NeurIPS 2021, Neural Information Processing Systems
[PDF] | [Code]

Revisiting Time Series Outlier Detection: Definitions and Benchmarks

Kwei-Herng Lai, Daochen Zha, Junjie Xu, Yue Zhao, Guanchu Wang, Xia Hu
NeurIPS 2021, Neural Information Processing Systems, Datasets and Benchmarks Track
[PDF] | [Code]

DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning

Daochen Zha, Jingru Xie, Wenye Ma, Sheng Zhang, Xiangru Lian, Xia Hu, Ji Liu
ICML 2021, International Conference on Machine Learning
[PDF] | [Code] | [Demo] | [Slide]

AutoAD: Automated Anomaly Detection via Curiosity-guided Search and Self-imitation Learning

Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu
TNNLS 2021, IEEE Transactions on Neural Networks and Learning Systems
[PDF]

Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments

Daochen Zha, Wenye Ma, Lei Yuan, Xia Hu, Ji Liu
ICLR 2021, International Conference on Learning Representations
[PDF] | [Slide] | [Code]

AutoOD: Neural Architecture Search for Outlier Detection

Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, and Xia Hu
ICDE 2021, IEEE International Conference on Data Engineering
[PDF]

TODS: An Automated Time Series Outlier Detection System

Kwei-Herng Lai*, Daochen Zha*, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Mingyang Wan, Diego Martinez, Xia Hu
AAAI 2021, AAAI Conference on Artificial Intelligence, demo track
[Paper] | [Code] | [Video]

Towards Deeper Graph Neural Networks with Differentiable Group Normalization

Kaixiong Zhou, Xiao Huang, Yuening Li, Daochen Zha, Rui Chen, and Xia Hu
NeurIPS 2020, Neural Information Processing Systems
[PDF] | [Code]

Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning

Daochen Zha, Kwei-Herng Lai, Mingyang Wan, and Xia Hu
ICDM 2020, IEEE International Conference on Data Mining
[PDF] | [Slide] | [Code]

PolicyGNN: Aggregation Optimization for Graph Neural Networks

Kwei-Herng Lai, Daochen Zha, Kaixiong Zhou, and Xia Hu
KDD 2020, ACM SIGKDD Conference on Knowledge Discovery and Data Mining
[PDF]

RLCard: A Platform for Reinforcement Learning in Card Games

Daochen Zha*, Kwei-Herng Lai*, Songyi Huang∗, Yuanpu Cao, Keerthana Reddy, Juan Vargas, Alex Nguyen, Ruzhe Wei, Junyu Guo, and Xia Hu
IJCAI 2020, International Joint Conference on Artificial Intelligence, demo track
[PDF] | [Code] | [Demo] | [Video]

Dual Policy Distillation

Daochen Zha*, Kwei-Herng Lai* Yuening Li, and Xia Hu
IJCAI 2020, International Joint Conference on Artificial Intelligence
[PDF] | [Code]

Multi-Channel Graph Neural Networks

Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, and Xia Hu
IJCAI 2020, International Joint Conference on Artificial Intelligence
[PDF]

PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning

Yuening Li, Daochen Zha, Praveen Venugopal, Na Zou, and Xia Hu
WWW 2020 Web Conference, demo track
[PDF] | [Code]

RLCard: A Toolkit for Reinforcement Learning in Card Games

Daochen Zha, Kwei-Herng Lai, Yuanpu Cao, Songyi Huang, Ruzhe Wei, Junyu Guo, and Xia Hu
AAAI-Workshop 2020, AAAI-20 Workshop on Reinforcement Learning in Games
[PDF] | [Code] | [Video]

Multi-Label Dataless Text Classification with Topic Modeling

Daochen Zha, and Chenliang Li
KAIS 2019, Knowledge and Information Systems Journal
[PDF] | [Code]

Experience Replay Optimization

Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, and Xia Hu
IJCAI 2019, International Joint Conferences on Artificial Intelligence
[PDF] | [Slide]