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Daochen Zha
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2020 – today
- 2024
- [j7]Xiao-Yang Liu, Ziyi Xia, Hongyang Yang, Jiechao Gao, Daochen Zha, Ming Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo:
Dynamic datasets and market environments for financial reinforcement learning. Mach. Learn. 113(5): 2795-2839 (2024) - [c40]Wei Jin
, Haohan Wang
, Daochen Zha
, Qiaoyu Tan
, Yao Ma
, Sharon Li
, Su-In Lee
:
DCAI: Data-centric Artificial Intelligence. WWW (Companion Volume) 2024: 1482-1485 - [i51]Junnan Dong, Qinggang Zhang, Huachi Zhou, Daochen Zha, Pai Zheng, Xiao Huang:
Modality-Aware Integration with Large Language Models for Knowledge-based Visual Question Answering. CoRR abs/2402.12728 (2024) - [i50]Xin Zhang, Daochen Zha, Qiaoyu Tan:
E2GNN: Efficient Graph Neural Network Ensembles for Semi-Supervised Classification. CoRR abs/2405.03401 (2024) - [i49]Junnan Dong, Qinggang Zhang, Chuang Zhou, Hao Chen, Daochen Zha, Xiao Huang:
Cost-efficient Knowledge-based Question Answering with Large Language Models. CoRR abs/2405.17337 (2024) - [i48]Shuang Zhou, Daochen Zha, Xiao Shen, Xiao Huang, Rui Zhang, Fu-Lai Chung:
Denoising-Aware Contrastive Learning for Noisy Time Series. CoRR abs/2406.04627 (2024) - [i47]Yuhao Xu, Xinqi Liu, Keyu Duan, Yi Fang, Yu-Neng Chuang, Daochen Zha, Qiaoyu Tan:
GraphFM: A Comprehensive Benchmark for Graph Foundation Model. CoRR abs/2406.08310 (2024) - [i46]Yi Fang, Dongzhe Fan, Daochen Zha, Qiaoyu Tan:
GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models. CoRR abs/2406.11945 (2024) - [i45]Yu-Neng Chuang, Songchen Li, Jiayi Yuan, Guanchu Wang, Kwei-Herng Lai, Leisheng Yu, Sirui Ding, Chia-Yuan Chang, Qiaoyu Tan, Daochen Zha, Xia Hu:
Understanding Different Design Choices in Training Large Time Series Models. CoRR abs/2406.14045 (2024) - 2023
- [j6]Mingyang Wan
, Daochen Zha
, Ninghao Liu
, Na Zou
:
In-Processing Modeling Techniques for Machine Learning Fairness: A Survey. ACM Trans. Knowl. Discov. Data 17(3): 35:1-35:27 (2023) - [c39]Kwei-Herng Lai
, Daochen Zha
, Huiyuan Chen
, Mangesh Bendre
, Yuzhong Chen
, Mahashweta Das
, Hao Yang
, Xia Hu
:
Tackling Diverse Minorities in Imbalanced Classification. CIKM 2023: 1178-1187 - [c38]Yu-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
:
DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research. CIKM 2023: 5021-5025 - [c37]Qiaoyu Tan, Daochen Zha, Ninghao Liu, Soo-Hyun Choi, Li Li, Rui Chen, Xia Hu:
Double Wins: Boosting Accuracy and Efficiency of Graph Neural Networks by Reliable Knowledge Distillation. ICDM 2023: 1343-1348 - [c36]Yueying Li, Daochen Zha, Tianjun Zhang, G. Edward Suh, Christina Delimitrou, Francis Y. Yan:
Mitigating Metastable Failures in Distributed Systems with Offline Reinforcement Learning. Tiny Papers @ ICLR 2023 - [c35]Aaron M. Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, Yuandong Tian:
SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems. ICML 2023: 10034-10052 - [c34]Zirui Liu, Shengyuan Chen, Kaixiong Zhou, Daochen Zha, Xiao Huang, Xia Hu:
RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations. ICML 2023: 21951-21968 - [c33]Daochen Zha
, Kwei-Herng Lai
, Fan Yang
, Na Zou
, Huiji Gao
, Xia Hu
:
Data-centric AI: Techniques and Future Perspectives. KDD 2023: 5839-5840 - [c32]Daochen Zha, Louis Feng, Liang Luo, Bhargav Bhushanam, Zirui Liu, Yusuo Hu, Jade Nie, Yuzhen Huang, Yuandong Tian, Arun Kejariwal, Xia Hu:
Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models. MLSys 2023 - [c31]Zirui Liu, Guanchu Wang, Shaochen (Henry) Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang (Ryan) Tang, Zhimeng Stephen Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Hu:
Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model. NeurIPS 2023 - [c30]Shaochen (Henry) Zhong, Zaichuan You, Jiamu Zhang, Sebastian Zhao, Zachary LeClaire, Zirui Liu, Daochen Zha, Vipin Chaudhary, Shuai Xu, Xia Hu:
One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel Pruning. NeurIPS 2023 - [c29]Zhiyao Zhou, Sheng Zhou, Bochao Mao, Xuanyi Zhou, Jiawei Chen, Qiaoyu Tan, Daochen Zha, Yan Feng, Chun Chen, Can Wang:
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning. NeurIPS 2023 - [c28]Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Xia Hu:
Data-centric AI: Perspectives and Challenges. SDM 2023: 945-948 - [c27]Huachi Zhou
, Hao Chen
, Junnan Dong
, Daochen Zha
, Chuang Zhou
, Xiao Huang
:
Adaptive Popularity Debiasing Aggregator for Graph Collaborative Filtering. SIGIR 2023: 7-17 - [c26]Alain Andres
, Daochen Zha, Javier Del Ser:
Enhanced Generalization Through Prioritization and Diversity in Self-Imitation Reinforcement Learning Over Procedural Environments with Sparse Rewards. SSCI 2023: 1414-1420 - [c25]Qiaoyu Tan
, Xin Zhang
, Ninghao Liu
, Daochen Zha
, Li Li
, Rui Chen
, Soo-Hyun Choi
, Xia Hu
:
Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection. WSDM 2023: 625-633 - [c24]Junnan Dong
, Qinggang Zhang
, Xiao Huang
, Qiaoyu Tan
, Daochen Zha
, Zihao Zhao
:
Active Ensemble Learning for Knowledge Graph Error Detection. WSDM 2023: 877-885 - [i44]Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Xia Hu:
Data-centric AI: Perspectives and Challenges. CoRR abs/2301.04819 (2023) - [i43]Sirui Ding, Ruixiang Tang, Daochen Zha, Na Zou, Kai Zhang, Xiaoqian Jiang, Xia Hu:
Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning. CoRR abs/2302.09400 (2023) - [i42]Diego Martinez, Daochen Zha, Qiaoyu Tan, Xia Hu:
Towards Personalized Preprocessing Pipeline Search. CoRR abs/2302.14329 (2023) - [i41]Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Zhimeng Jiang, Shaochen Zhong, Xia Hu:
Data-centric Artificial Intelligence: A Survey. CoRR abs/2303.10158 (2023) - [i40]Guanchu Wang, Ninghao Liu, Daochen Zha, Xia Ben Hu:
Interactive System-wise Anomaly Detection. CoRR abs/2304.10704 (2023) - [i39]Xiao-Yang Liu, Ziyi Xia, Hongyang Yang, Jiechao Gao, Daochen Zha, Ming Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo:
Dynamic Datasets and Market Environments for Financial Reinforcement Learning. CoRR abs/2304.13174 (2023) - [i38]Daochen Zha, Louis Feng, Liang Luo, Bhargav Bhushanam, Zirui Liu, Yusuo Hu, Jade Nie, Yuzhen Huang, Yuandong Tian, Arun Kejariwal, Xia Hu:
Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models. CoRR abs/2305.01868 (2023) - [i37]Zirui Liu, Guanchu Wang, Shaochen Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang Tang, Zhimeng Jiang
, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Ben Hu:
Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model. CoRR abs/2305.15265 (2023) - [i36]Zhiyao Zhou, Sheng Zhou, Bochao Mao, Xuanyi Zhou, Jiawei Chen, Qiaoyu Tan, Daochen Zha, Can Wang, Yan Feng, Chun Chen:
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning. CoRR abs/2306.10280 (2023) - [i35]Xiao-Yang Liu, Guoxuan Wang, Daochen Zha:
FinGPT: Democratizing Internet-scale Data for Financial Large Language Models. CoRR abs/2307.10485 (2023) - [i34]Kwei-Herng Lai, Daochen Zha, Huiyuan Chen, Mangesh Bendre, Yuzhong Chen, Mahashweta Das, Hao Yang, Xia Hu:
Tackling Diverse Minorities in Imbalanced Classification. CoRR abs/2308.14838 (2023) - [i33]Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Kwei-Herng Lai, Daochen Zha, Ruixiang Tang, Fan Yang, Alfredo Costilla-Reyes, Kaixiong Zhou, Xiaoqian Jiang, Xia Ben Hu:
DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research. CoRR abs/2309.01808 (2023) - [i32]Alain Andres, Daochen Zha, Javier Del Ser:
Enhanced Generalization through Prioritization and Diversity in Self-Imitation Reinforcement Learning over Procedural Environments with Sparse Rewards. CoRR abs/2311.00426 (2023) - [i31]Qinggang Zhang, Junnan Dong, Hao Chen, Xiao Huang, Daochen Zha, Zailiang Yu:
KnowGPT: Black-Box Knowledge Injection for Large Language Models. CoRR abs/2312.06185 (2023) - [i30]Xiao-Yang Liu, Rongyi Zhu, Daochen Zha, Jiechao Gao, Shan Zhong, Meikang Qiu:
Differentially Private Low-Rank Adaptation of Large Language Model Using Federated Learning. CoRR abs/2312.17493 (2023) - 2022
- [j5]Yuening Li
, Zhengzhang Chen
, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu:
Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2365-2377 (2022) - [c23]Sirui Ding, Ruixiang Tang, Daochen Zha, Na Zou, Kai Zhang, Xiaoqian Jiang, Xia Hu:
Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning. AMIA 2022 - [c22]Daochen Zha, Kwei-Herng Lai, Qiaoyu Tan, Sirui Ding, Na Zou, Xia Ben Hu:
Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning. CIKM 2022: 2476-2485 - [c21]Guanchu 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 Ben Hu:
BED: A Real-Time Object Detection System for Edge Devices. CIKM 2022: 4994-4998 - [c20]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:
AutoVideo: An Automated Video Action Recognition System. IJCAI 2022: 5952-5955 - [c19]Yuening Li, Zhengzhang Chen
, Daochen Zha, Mengnan Du, Jingchao Ni, Denghui Zhang, Haifeng Chen, Xia Hu:
Towards Learning Disentangled Representations for Time Series. KDD 2022: 3270-3278 - [c18]Daochen Zha, Louis Feng, Bhargav Bhushanam, Dhruv Choudhary, Jade Nie, Yuandong Tian, Jay Chae, Yinbin Ma, Arun Kejariwal, Xia Hu:
AutoShard: Automated Embedding Table Sharding for Recommender Systems. KDD 2022: 4461-4471 - [c17]Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, Xia Hu:
DreamShard: Generalizable Embedding Table Placement for Recommender Systems. NeurIPS 2022 - [c16]Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu:
Towards Similarity-Aware Time-Series Classification. SDM 2022: 199-207 - [i29]Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu:
Towards Similarity-Aware Time-Series Classification. CoRR abs/2201.01413 (2022) - [i28]Guanchu Wang, Zaid Pervaiz Bhat, Zhimeng Jiang, Yi-Wei Chen, Daochen Zha, Alfredo Costilla-Reyes, Afshin Niktash, Mehmet Görkem Ulkar, Osman Erman Okman, Xia Ben Hu:
BED: A Real-Time Object Detection System for Edge Devices. CoRR abs/2202.07503 (2022) - [i27]Yicheng Wang, Xiaotian Han, Chia-Yuan Chang, Daochen Zha, Ulisses Braga-Neto, Xia Hu:
Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture. CoRR abs/2205.13748 (2022) - [i26]Daochen Zha, Louis Feng, Bhargav Bhushanam, Dhruv Choudhary, Jade Nie, Yuandong Tian, Jay Chae, Yinbin Ma, Arun Kejariwal, Xia Hu:
AutoShard: Automated Embedding Table Sharding for Recommender Systems. CoRR abs/2208.06399 (2022) - [i25]Daochen Zha, Kwei-Herng Lai, Qiaoyu Tan, Sirui Ding, Na Zou, Xia Ben Hu:
Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning. CoRR abs/2208.12433 (2022) - [i24]Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, Xia Hu:
DreamShard: Generalizable Embedding Table Placement for Recommender Systems. CoRR abs/2210.02023 (2022) - [i23]Zirui Liu, Shengyuan Chen, Kaixiong Zhou, Daochen Zha, Xiao Huang, Xia Hu:
RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations. CoRR abs/2210.10737 (2022) - [i22]Aaron M. Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, Yuandong Tian:
SurCo: Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems. CoRR abs/2210.12547 (2022) - [i21]Qiaoyu Tan, Xin Zhang, Ninghao Liu, Daochen Zha, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu:
Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection. CoRR abs/2212.12488 (2022) - 2021
- [c15]Kwei-Herng Lai, Daochen Zha, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Minyang Wan, Diego Martinez, Xia Ben Hu:
TODS: An Automated Time Series Outlier Detection System. AAAI 2021: 16060-16062 - [c14]Yuening Li, Zhengzhang Chen
, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu:
AutoOD: Neural Architecture Search for Outlier Detection. ICDE 2021: 2117-2122 - [c13]Daochen Zha, Wenye Ma, Lei Yuan, Xia Hu, Ji Liu:
Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments. ICLR 2021 - [c12]Daochen Zha, Jingru Xie, Wenye Ma, Sheng Zhang, Xiangru Lian, Xia Hu, Ji Liu:
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning. ICML 2021: 12333-12344 - [c11]Kwei-Herng Lai, Daochen Zha, Junjie Xu, Yue Zhao, Guanchu Wang, Xia Ben Hu:
Revisiting Time Series Outlier Detection: Definitions and Benchmarks. NeurIPS Datasets and Benchmarks 2021 - [c10]Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu:
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks. NeurIPS 2021: 21834-21846 - [i20]Daochen Zha, Wenye Ma, Lei Yuan, Xia Hu, Ji Liu:
Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments. CoRR abs/2101.08152 (2021) - [i19]Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Denghui Zhang, Haifeng Chen, Xia Hu:
Learning Disentangled Representations for Time Series. CoRR abs/2105.08179 (2021) - [i18]Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu:
Simplifying Deep Reinforcement Learning via Self-Supervision. CoRR abs/2106.05526 (2021) - [i17]Daochen Zha, Jingru Xie, Wenye Ma, Sheng Zhang, Xiangru Lian, Xia Hu, Ji Liu:
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning. CoRR abs/2106.06135 (2021) - [i16]Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu:
Dirichlet Energy Constrained Learning for Deep Graph Neural Networks. CoRR abs/2107.02392 (2021) - [i15]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:
AutoVideo: An Automated Video Action Recognition System. CoRR abs/2108.04212 (2021) - [i14]Mingyang Wan, Daochen Zha, Ninghao Liu, Na Zou:
Modeling Techniques for Machine Learning Fairness: A Survey. CoRR abs/2111.03015 (2021) - 2020
- [c9]Daochen Zha, Kwei-Herng Lai, Mingyang Wan, Xia Hu:
Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning. ICDM 2020: 771-780 - [c8]Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu:
Multi-Channel Graph Neural Networks. IJCAI 2020: 1352-1358 - [c7]Kwei-Herng Lai, Daochen Zha, Yuening Li, Xia Hu:
Dual Policy Distillation. IJCAI 2020: 3146-3152 - [c6]Daochen Zha, Kwei-Herng Lai, Songyi Huang, Yuanpu Cao, Keerthana Reddy, Juan Vargas, Alex Nguyen, Ruzhe Wei, Junyu Guo, Xia Hu:
RLCard: A Platform for Reinforcement Learning in Card Games. IJCAI 2020: 5264-5266 - [c5]Kwei-Herng Lai, Daochen Zha, Kaixiong Zhou, Xia Hu:
Policy-GNN: Aggregation Optimization for Graph Neural Networks. KDD 2020: 461-471 - [c4]Kaixiong Zhou, Xiao Huang, Yuening Li, Daochen Zha, Rui Chen, Xia Hu:
Towards Deeper Graph Neural Networks with Differentiable Group Normalization. NeurIPS 2020 - [c3]Yuening Li, Daochen Zha, Praveen Kumar Venugopal, Na Zou, Xia Hu:
PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning. WWW (Companion Volume) 2020: 153-157 - [i13]Yuening Li, Daochen Zha, Praveen Kumar Venugopal
, Na Zou, Xia Hu:
PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning. CoRR abs/2003.05602 (2020) - [i12]Kwei-Herng Lai, Daochen Zha, Yuening Li, Xia Hu:
Dual Policy Distillation. CoRR abs/2006.04061 (2020) - [i11]Kaixiong Zhou, Xiao Huang, Yuening Li, Daochen Zha, Rui Chen, Xia Hu:
Towards Deeper Graph Neural Networks with Differentiable Group Normalization. CoRR abs/2006.06972 (2020) - [i10]Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu:
AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning. CoRR abs/2006.11321 (2020) - [i9]Kwei-Herng Lai, Daochen Zha, Kaixiong Zhou, Xia Hu:
Policy-GNN: Aggregation Optimization for Graph Neural Networks. CoRR abs/2006.15097 (2020) - [i8]Daochen Zha, Kwei-Herng Lai, Mingyang Wan, Xia Hu:
Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning. CoRR abs/2009.07415 (2020) - [i7]Kwei-Herng Lai, Daochen Zha, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Minyang Wan, Diego Martinez, Xia Ben Hu:
TODS: An Automated Time Series Outlier Detection System. CoRR abs/2009.09822 (2020)
2010 – 2019
- 2019
- [j4]Daochen Zha, Chenliang Li
:
Multi-label dataless text classification with topic modeling. Knowl. Inf. Syst. 61(1): 137-160 (2019) - [c2]Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu:
Experience Replay Optimization. IJCAI 2019: 4243-4249 - [i6]Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu:
Experience Replay Optimization. CoRR abs/1906.08387 (2019) - [i5]Yuening Li, Daochen Zha, Na Zou, Xia Hu:
PyODDS: An End-to-End Outlier Detection System. CoRR abs/1910.02575 (2019) - [i4]Daochen Zha, Kwei-Herng Lai, Yuanpu Cao, Songyi Huang, Ruzhe Wei, Junyu Guo, Xia Hu:
RLCard: A Toolkit for Reinforcement Learning in Card Games. CoRR abs/1910.04376 (2019) - [i3]Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu:
Multi-Channel Graph Convolutional Networks. CoRR abs/1912.08306 (2019) - 2017
- [j3]Yuan Shi
, Huanguo Zhang, Juan Wang
, Feng Xiao, Jianwei Huang, Daochen Zha, Hongxin Hu, Fei Yan, Bo Zhao:
CHAOS: An SDN-Based Moving Target Defense System. Secur. Commun. Networks 2017: 3659167:1-3659167:11 (2017) - [c1]Juan Wang, Feng Xiao, Jianwei Huang, Daochen Zha, Chengyang Fan, Wei Hu, Huanguo Zhang:
A Security-Enhanced vTPM 2.0 for Cloud Computing. ICICS 2017: 557-569 - [i2]Juan Wang, Feng Xiao, Jianwei Huang, Daochen Zha, Hongxin Hu, Huanguo Zhang:
CHAOS: an SDN-based Moving Target Defense System. CoRR abs/1704.01482 (2017) - [i1]Daochen Zha, Chenliang Li:
Multi-label Dataless Text Classification with Topic Modeling. CoRR abs/1711.01563 (2017) - 2015
- [j2]Xianjin Zha, Wentao Wang, Yalan Yan
, Jinchao Zhang, Daochen Zha:
Understanding information seeking in digital libraries: antecedents and consequences. Aslib J. Inf. Manag. 67(6): 715-734 (2015) - [j1]Xianjin Zha, Jinchao Zhang, Yalan Yan
, Daochen Zha:
Sound information seeking in Web 2.0 virtual communities: the moderating effect of mindfulness. Behav. Inf. Technol. 34(9): 920-935 (2015)
Coauthor Index
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