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Viewing Publication 1 - 43 from 43

2023

One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel PruningShaochen (Henry) Zhong, Zaichuan You, Jiamu Zhang, Sebastian Zhao, Zachary LeClaire, Zirui Liu, Daochen Zha, Vipin Chaudhary, Shuai Xu, Xia Hu. nips 2023: [doi]

DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical ResearchYu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Kwei-Herng Lai, Daochen Zha, Ruixiang Tang, Fan Yang, Alfredo Costilla-Reyes, Kaixiong Zhou, Xiaoqian Jiang, Xia Hu. CIKM 2023: 5021-5025 [doi]

Active Ensemble Learning for Knowledge Graph Error DetectionJunnan Dong, Qinggang Zhang, Xiao Huang, Qiaoyu Tan, Daochen Zha, Zihao Zhao. wsdm 2023: 877-885 [doi]

SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization ProblemsAaron M. Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, Yuandong Tian. icml 2023: 10034-10052 [doi]

Tackling Diverse Minorities in Imbalanced ClassificationKwei-Herng Lai, Daochen Zha, Huiyuan Chen, Mangesh Bendre, Yuzhong Chen, Mahashweta Das, Hao Yang 0007, Xia Hu. CIKM 2023: 1178-1187 [doi]

Mitigating Metastable Failures in Distributed Systems with Offline Reinforcement LearningYueying Li, Daochen Zha, Tianjun Zhang, G. Edward Suh, Christina Delimitrou, Francis Y. Yan. iclr 2023: [doi]

RSC: Accelerate Graph Neural Networks Training via Randomized Sparse ComputationsZirui Liu, Shengyuan Chen, Kaixiong Zhou, Daochen Zha, Xiao Huang 0001, Xia Hu. icml 2023: 21951-21968 [doi]

Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language ModelZirui Liu, Guanchu Wang, Shaochen (Henry) Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang (Ryan) Tang, Zhimeng Stephen Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Hu. nips 2023: [doi]

Double Wins: Boosting Accuracy and Efficiency of Graph Neural Networks by Reliable Knowledge DistillationQiaoyu Tan, Daochen Zha, Ninghao Liu, Soo Hyun Choi, Li Li 0035, Rui Chen 0012, Xia Hu. icdm 2023: 1343-1348 [doi]

Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph SelectionQiaoyu Tan, Xin Zhang, Ninghao Liu, Daochen Zha, Li Li, Rui Chen 0012, Soo Hyun Choi, Xia Hu. wsdm 2023: 625-633 [doi]

In-Processing Modeling Techniques for Machine Learning Fairness: A SurveyMingyang Wan, Daochen Zha, Ninghao Liu, Na Zou. tkdd, 17(3), April 2023. [doi]

Data-centric AI: Perspectives and ChallengesDaochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang 0023, Xia Hu. sdm 2023: 945-948 [doi]

Data-centric AI: Techniques and Future PerspectivesDaochen Zha, Kwei-Herng Lai, Fan Yang, Na Zou, Huiji Gao, Xia Hu. kdd 2023: 5839-5840 [doi]

OpenGSL: A Comprehensive Benchmark for Graph Structure LearningZhiyao Zhou, Sheng Zhou 0004, Bochao Mao, Xuanyi Zhou, Jiawei Chen, Qiaoyu Tan, Daochen Zha, Yan Feng, Chun Chen 0001, Can Wang 0001. nips 2023: [doi]

Adaptive Popularity Debiasing Aggregator for Graph Collaborative FilteringHuachi Zhou, Hao Chen, Junnan Dong, Daochen Zha, Chuang Zhou, Xiao Huang 0001. sigir 2023: 7-17 [doi]

2022

Fairly Predicting Graft Failure in Liver Transplant for Organ AssigningSirui Ding, Ruixiang Tang, Daochen Zha, Na Zou, Kai Zhang, Xiaoqian Jiang, Xia Hu. amia 2022: [doi]

Towards Learning Disentangled Representations for Time SeriesYuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Jingchao Ni, Denghui Zhang, Haifeng Chen, Xia Hu. kdd 2022: 3270-3278 [doi]

Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation LearningYuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu. tnn, 33(6):2365-2377, 2022. [doi]

BED: A Real-Time Object Detection System for Edge DevicesGuanchu Wang, Zaid Pervaiz Bhat, Zhimeng Jiang, Yi-Wei Chen, Daochen Zha, Alfredo Costilla-Reyes, Afshin Niktash, Mehmet Görkem Ulkar, Osman Erman Okman, Xuanting Cai, Xia Hu. CIKM 2022: 4994-4998 [doi]

Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement LearningDaochen Zha, Kwei-Herng Lai, Qiaoyu Tan, Sirui Ding, Na Zou, Xia Ben Hu. CIKM 2022: 2476-2485 [doi]

Towards Similarity-Aware Time-Series ClassificationDaochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu. sdm 2022: 199-207 [doi]

AutoVideo: An Automated Video Action Recognition SystemDaochen 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: 5952-5955 [doi]

DreamShard: Generalizable Embedding Table Placement for Recommender SystemsDaochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, Xia Hu. nips 2022: [doi]

AutoShard: Automated Embedding Table Sharding for Recommender SystemsDaochen Zha, Louis Feng, Bhargav Bhushanam, Dhruv Choudhary, Jade Nie, Yuandong Tian, Jay Chae, Yinbin Ma, Arun Kejariwal, Xia Hu. kdd 2022: 4461-4471 [doi]

2021

Revisiting Time Series Outlier Detection: Definitions and BenchmarksKwei-Herng Lai, Daochen Zha, Junjie Xu, Yue Zhao, Guanchu Wang, Xia Hu. nips 2021: [doi]

TODS: An Automated Time Series Outlier Detection SystemKwei-Herng Lai, Daochen Zha, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Minyang Wan, Diego Martinez, Xia Hu. AAAI 2021: 16060-16062 [doi]

AutoOD: Neural Architecture Search for Outlier DetectionYuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu. icde 2021: 2117-2122 [doi]

Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated EnvironmentsDaochen Zha, Wenye Ma, Lei Yuan, Xia Hu, Ji Liu. iclr 2021: [doi]

DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement LearningDaochen Zha, Jingru Xie, Wenye Ma, Sheng Zhang, Xiangru Lian, Xia Hu, Ji Liu. icml 2021: 12333-12344 [doi]

Dirichlet Energy Constrained Learning for Deep Graph Neural NetworksKaixiong Zhou, Xiao Huang 0001, Daochen Zha, Rui Chen 0012, Li Li, Soo Hyun Choi, Xia Hu. nips 2021: 21834-21846 [doi]

2020

Dual Policy DistillationKwei-Herng Lai, Daochen Zha, Yuening Li, Xia Hu. IJCAI 2020: 3146-3152 [doi]

Policy-GNN: Aggregation Optimization for Graph Neural NetworksKwei-Herng Lai, Daochen Zha, Kaixiong Zhou, Xia Hu. kdd 2020: 461-471 [doi]

PyODDS: An End-to-end Outlier Detection System with Automated Machine LearningYuening Li, Daochen Zha, Praveen Kumar Venugopal, Na Zou, Xia Hu. WWW 2020: 153-157 [doi]

RLCard: A Platform for Reinforcement Learning in Card GamesDaochen Zha, Kwei-Herng Lai, Songyi Huang, Yuanpu Cao, Keerthana Reddy, Juan Vargas, Alex Nguyen, Ruzhe Wei, Junyu Guo, Xia Hu. IJCAI 2020: 5264-5266 [doi]

Meta-AAD: Active Anomaly Detection with Deep Reinforcement LearningDaochen Zha, Kwei-Herng Lai, Mingyang Wan, Xia Hu. icdm 2020: 771-780 [doi]

Towards Deeper Graph Neural Networks with Differentiable Group NormalizationKaixiong Zhou, Xiao Huang 0001, Yuening Li, Daochen Zha, Rui Chen, Xia Hu. nips 2020: [doi]

Multi-Channel Graph Neural NetworksKaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu. IJCAI 2020: 1352-1358 [doi]

2019

Experience Replay OptimizationDaochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu. IJCAI 2019: 4243-4249 [doi]

Multi-label dataless text classification with topic modelingDaochen Zha, Chenliang Li. kais, 61(1):137-160, 2019. [doi]

2017

2015

Sound information seeking in Web 2.0 virtual communities: the moderating effect of mindfulnessXianjin Zha, Jinchao Zhang, Yalan Yan, Daochen Zha. behaviourIT, 34(9):920-935, 2015. [doi]

Understanding information seeking in digital libraries: antecedents and consequencesXianjin Zha, Wentao Wang, Yalan Yan, Jinchao Zhang, Daochen Zha. aslib, 67(6):715-734, 2015. [doi]

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