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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) - [c44]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. ACL (1) 2024: 2417-2429 - [c43]Shuang Zhou, Daochen Zha, Xiao Shen, Xiao Huang, Rui Zhang, Korris Fu-Lai Chung:
Denoising-Aware Contrastive Learning for Noisy Time Series. IJCAI 2024: 5644-5652 - [c42]Qian Luo, Tien Ping Tan, Daochen Zha, Tianqiao Zhang:
Enhanced DouDiZhu Card Game Strategy Using Oracle Guiding and Adaptive Deep Monte Carlo Method. IJCAI 2024: 5972-5980 - [c41]Yi Fang
, Dongzhe Fan
GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models. KDD 2024: 747-758 - [c40]Wei Jin
DCAI: Data-centric Artificial Intelligence. WWW (Companion Volume) 2024: 1482-1485 - [i52]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) - [i51]Xin Zhang, Daochen Zha, Qiaoyu Tan:
E2GNN: Efficient Graph Neural Network Ensembles for Semi-Supervised Classification. CoRR abs/2405.03401 (2024) - [i50]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) - [i49]Shuang Zhou, Daochen Zha, Xiao Shen, Xiao Huang
Denoising-Aware Contrastive Learning for Noisy Time Series. CoRR abs/2406.04627 (2024) - [i48]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) - [i47]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) - [i46]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) - [i45]Shuang Zhou, Zidu Xu, Mian Zhang, Chunpu Xu, Yawen Guo, Zaifu Zhan, Sirui Ding, Jiashuo Wang, Kaishuai Xu, Yi Fang, Liqiao Xia, Jeremy Yeung, Daochen Zha, Genevieve B. Melton, Mingquan Lin, Rui Zhang:
Large Language Models for Disease Diagnosis: A Scoping Review. CoRR abs/2409.00097 (2024) - 2023
- [j6]Mingyang Wan
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
Tackling Diverse Minorities in Imbalanced Classification. CIKM 2023: 1178-1187 - [c38]Yu-Neng Chuang
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
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
Adaptive Popularity Debiasing Aggregator for Graph Collaborative Filtering. SIGIR 2023: 7-17 - [c26]Alain Andres
Enhanced Generalization Through Prioritization and Diversity in Self-Imitation Reinforcement Learning Over Procedural Environments with Sparse Rewards. SSCI 2023: 1414-1420 - [c25]Qiaoyu Tan
Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection. WSDM 2023: 625-633 - [c24]Junnan Dong
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
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
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
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
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
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
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
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
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
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
Sound information seeking in Web 2.0 virtual communities: the moderating effect of mindfulness. Behav. Inf. Technol. 34(9): 920-935 (2015)
Coauthor Index
[i46] [c39] [c38] [c37] [c34] [c33] [c32] [c31] [c30] [c28] [c25] [i44] [i43] [i42] [i41] [i40] [i38] [i37] [i34] [i33] [j5] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i21] [c15] [c14] [c13] [c12] [c11] [c10] [i20] [i19] [i18] [i17] [i16] [i15] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [c2] [i6] [i5] [i4] [i3]
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