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Mo Zhou
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2020 – today
- 2024
- [j26]Wei-Bin Kong, Zhi-Fei Zhang, Ting-Lin Zhang, Lei Wang, Zi-Yao Cheng, Mo Zhou:
SMC-YOLO: Surface Defect Detection of PCB Based on Multi-Scale Features and Dual Loss Functions. IEEE Access 12: 137667-137682 (2024) - [j25]Tian Tian, Qiang Huang, Jinhua Lv, Mo Zhou, Jian Tang:
Application of Multiobjective Optimization Based on Modified SPEA2 Method for Tuning FOPID plus Second-Order Derivative Controller in Hydraulic Turbine Governing System. J. Electr. Comput. Eng. 2024 (2024) - [j24]Mo Zhou, Le Wang, Zhenxing Niu, Qilin Zhang, Nanning Zheng, Gang Hua:
Adversarial Attack and Defense in Deep Ranking. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5306-5324 (2024) - [j23]Mo Zhou, Yue Zhou, Dawei Yang, Kai Song:
Remote Sensing Image Classification Based on Canny Operator Enhanced Edge Features. Sensors 24(12): 3912 (2024) - [i27]Yatong Bai, Mo Zhou, Vishal M. Patel, Somayeh Sojoudi:
MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers. CoRR abs/2402.02263 (2024) - [i26]Mo Zhou, Yiding Yang, Haoxiang Li, Vishal M. Patel, Gang Hua:
Deployment Prior Injection for Run-time Calibratable Object Detection. CoRR abs/2402.17207 (2024) - [i25]Mo Zhou, Rong Ge:
How Does Gradient Descent Learn Features - A Local Analysis for Regularized Two-Layer Neural Networks. CoRR abs/2406.01766 (2024) - [i24]Mo Zhou, Stanley J. Osher, Wuchen Li:
Score-based Neural Ordinary Differential Equations for Computing Mean Field Control Problems. CoRR abs/2409.16471 (2024) - 2023
- [b1]Xinyu Zhang, Jun Li, Zhiwei Li, Huaping Liu, Mo Zhou, Li Wang, Zhenhong Zou:
Multi-sensor Fusion for Autonomous Driving. Springer 2023, ISBN 978-981-99-3279-5, pp. 3-232 - [j22]Mo Zhou, Jiequn Han, Manas Rachh, Carlos Borges:
A neural network warm-start approach for the inverse acoustic obstacle scattering problem. J. Comput. Phys. 490: 112341 (2023) - [j21]Mo Zhou, Jianfeng Lu:
Single Timescale Actor-Critic Method to Solve the Linear Quadratic Regulator with Convergence Guarantees. J. Mach. Learn. Res. 24: 222:1-222:34 (2023) - [j20]Le Wang, Mo Zhou, Zhenxing Niu, Qilin Zhang, Nanning Zheng:
Adaptive Ladder Loss for Learning Coherent Visual-Semantic Embedding. IEEE Trans. Multim. 25: 1133-1147 (2023) - [c60]Jan Østergaard, Christian Pedersen, Mo Zhou, Niels de Koeijer, Martin Bo Møller:
Multiple Description Audio Coding for Wireless Low-Frequency Sound Zones. DCC 2023: 140-149 - [c59]Mo Zhou, Martin Bo Møller, Christian Pedersen, Jan Østergaard:
Robust Fir Filters for Wireless Low-Frequency Sound Zones. ICASSP 2023: 1-5 - [c58]Xingyu Zhu, Zixuan Wang, Xiang Wang, Mo Zhou, Rong Ge:
Understanding Edge-of-Stability Training Dynamics with a Minimalist Example. ICLR 2023 - [c57]Xiang Wang, Annie N. Wang, Mo Zhou, Rong Ge:
Plateau in Monotonic Linear Interpolation - A "Biased" View of Loss Landscape for Deep Networks. ICLR 2023 - [c56]Zeping Luo, Shiyou Wu, Cindy Weng, Mo Zhou, Rong Ge:
Understanding The Robustness of Self-supervised Learning Through Topic Modeling. ICLR 2023 - [c55]Yunwei Ren, Mo Zhou, Rong Ge:
Depth Separation with Multilayer Mean-Field Networks. ICLR 2023 - [c54]Mo Zhou, Rong Ge:
Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression. ICML 2023: 42543-42573 - [c53]Hansheng Li, Zhengyang Xu, Mo Zhou, Xiaoshuang Shi, Yuxin Kang, Qirong Bu, Hong Lv, Ming Li, Mingzhen Lin, Lei Cui, Jun Feng, Wentao Yang, Lin Yang:
Segment Membranes and Nuclei from Histopathological Images via Nuclei Point-Level Supervision. MICCAI (6) 2023: 539-548 - [i23]Mo Zhou, Rong Ge:
Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression. CoRR abs/2302.00257 (2023) - [i22]Mo Zhou, Jianfeng Lu:
A Policy Gradient Framework for Stochastic Optimal Control Problems with Global Convergence Guarantee. CoRR abs/2302.05816 (2023) - [i21]Yunwei Ren, Mo Zhou, Rong Ge:
Depth Separation with Multilayer Mean-Field Networks. CoRR abs/2304.01063 (2023) - [i20]Kangfu Mei, Mo Zhou, Vishal M. Patel:
T1: Scaling Diffusion Probabilistic Fields to High-Resolution on Unified Visual Modalities. CoRR abs/2305.14674 (2023) - [i19]Yu Zeng, Mo Zhou, Yuan Xue, Vishal M. Patel:
Securing Deep Generative Models with Universal Adversarial Signature. CoRR abs/2305.16310 (2023) - 2022
- [j19]Ye Kuang, Dandan Li, Xiaohong Huang, Mo Zhou, Weidu Wang:
PoiEvent: An approach to extract the persistent and destructive routing events. Comput. Networks 217: 109313 (2022) - [j18]Mo Zhou, Yujie Zhang, Jiasu Lei, Xiaowen Tan:
Early firm engagement, government research funding, and the privatization of public knowledge. Scientometrics 127(8): 4797-4826 (2022) - [c52]Mo Zhou, Yiming Wu, Kai Pan, Zelin Du, Tiancheng Yi, Tianxi Sun, Zhiguo Liu, Yude Li:
Image Restoration of an Object Viewed Through a Polycapillary X-Ray Lens with Square Channels Using the Concept of a Space-Variant Point-Spread Function. CECNet 2022: 567-574 - [c51]Mo Zhou, Vishal M. Patel:
Enhancing Adversarial Robustness for Deep Metric Learning. CVPR 2022: 15304-15313 - [c50]Yiqun Mei, Pengfei Guo, Mo Zhou, Vishal Patel:
Resource-Adaptive Federated Learning with All-In-One Neural Composition. NeurIPS 2022 - [i18]Mo Zhou, Jianfeng Lu:
Single Time-scale Actor-critic Method to Solve the Linear Quadratic Regulator with Convergence Guarantees. CoRR abs/2202.00048 (2022) - [i17]Mo Zhou, Vishal M. Patel:
Enhancing Adversarial Robustness for Deep Metric Learning. CoRR abs/2203.01439 (2022) - [i16]Zeping Luo, Cindy Weng, Shiyou Wu, Mo Zhou, Rong Ge:
One Objective for All Models - Self-supervised Learning for Topic Models. CoRR abs/2203.03539 (2022) - [i15]Mo Zhou, Vishal M. Patel:
On Trace of PGD-Like Adversarial Attacks. CoRR abs/2205.09586 (2022) - [i14]Xiang Wang, Annie N. Wang, Mo Zhou, Rong Ge:
Plateau in Monotonic Linear Interpolation - A "Biased" View of Loss Landscape for Deep Networks. CoRR abs/2210.01019 (2022) - [i13]Xingyu Zhu, Zixuan Wang, Xiang Wang, Mo Zhou, Rong Ge:
Understanding Edge-of-Stability Training Dynamics with a Minimalist Example. CoRR abs/2210.03294 (2022) - [i12]Mo Zhou, Jiequn Han, Manas Rachh, Carlos Borges:
A Neural Network Warm-Start Approach for the Inverse Acoustic Obstacle Scattering Problem. CoRR abs/2212.08736 (2022) - 2021
- [j17]Rui Huang, Yan Xing, Mo Zhou, Ruofei Wang:
Change detection with cross enhancement of high- and low-level change-related features. IET Image Process. 15(13): 3380-3391 (2021) - [j16]Rui Huang, Mo Zhou, Yan Xing, Yaobin Zou, Wei Fan:
Change detection with various combinations of fluid pyramid integration networks. Neurocomputing 437: 84-94 (2021) - [j15]Yulong Tu, Bin Zou, Huihui Feng, Mo Zhou, Zhihui Yang, Ying Xiong:
A Near Standard Soil Samples Spectra Enhanced Modeling Strategy for Cd Concentration Prediction. Remote. Sens. 13(14): 2657 (2021) - [j14]Mo Zhou, Jiequn Han, Jianfeng Lu:
Actor-Critic Method for High Dimensional Static Hamilton-Jacobi-Bellman Partial Differential Equations based on Neural Networks. SIAM J. Sci. Comput. 43(6): A4043-A4066 (2021) - [c49]Ling Qi, Ranqian Liu, Yuechen Cui, Yuwen Zhang, Zhisheng Song, Mo Zhou:
The Comprehensive Analysis of Micro-climate Adaptability and Design Mechanism Based on Traditional Villages in Northern China. AHFE (14) 2021: 143-152 - [c48]Wojciech Bonenberg, Agata Bonenberg, Quan Wen, Mo Zhou:
Application of Geo-Urban Centric Technology in Diagnostics of Urbanization Processes. AHFE (14) 2021: 190-197 - [c47]Wojciech Bonenberg, Agata Bonenberg, Lili Dong, Mo Zhou:
Future City Lab. An Analytical Tool for Predicting Urban Development Trends. AHFE (14) 2021: 279-286 - [c46]Wojciech Bonenberg, Agata Bonenberg, Lili Dong, Mo Zhou:
Transport Accessibility as a Factor of Spatial Development on the Example of the Poznan Metropolitan Area, Poland. AHFE (14) 2021: 294-301 - [c45]Xia Wei, Wojciech Bonenberg, Mo Zhou, Jinzhong Wang:
The Impact of Building Information Modeling Design System on Traditional Urban Design Methods. AHFE (14) 2021: 302-309 - [c44]Mo Zhou, Wojciech Bonenberg, Xia Wei, Ling Qi:
Revitalizing Traditional Villages Through Adaptive Design Strategies: Selected Case Studies of Chinese and French Traditional Villages. AHFE (14) 2021: 318-326 - [c43]Mo Zhou, Rong Ge, Chi Jin:
A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network. COLT 2021: 4577-4632 - [c42]Liushuai Shi, Le Wang, Chengjiang Long, Sanping Zhou, Mo Zhou, Zhenxing Niu, Gang Hua:
SGCN: Sparse Graph Convolution Network for Pedestrian Trajectory Prediction. CVPR 2021: 8994-9003 - [c41]Mo Zhou, Le Wang, Zhenxing Niu, Qilin Zhang, Yinghui Xu, Nanning Zheng, Gang Hua:
Practical Relative Order Attack in Deep Ranking. ICCV 2021: 16393-16402 - [c40]Rong Ge, Yunwei Ren, Xiang Wang, Mo Zhou:
Understanding Deflation Process in Over-parametrized Tensor Decomposition. NeurIPS 2021: 1299-1311 - [i11]Mo Zhou, Rong Ge, Chi Jin:
A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network. CoRR abs/2102.02410 (2021) - [i10]Mo Zhou, Jiequn Han, Jianfeng Lu:
Actor-Critic Method for High Dimensional Static Hamilton-Jacobi-Bellman Partial Differential Equations based on Neural Networks. CoRR abs/2102.11379 (2021) - [i9]Mo Zhou, Le Wang, Zhenxing Niu, Qilin Zhang, Yinghui Xu, Nanning Zheng, Gang Hua:
Practical Relative Order Attack in Deep Ranking. CoRR abs/2103.05248 (2021) - [i8]Liushuai Shi, Le Wang, Chengjiang Long, Sanping Zhou, Mo Zhou, Zhenxing Niu, Gang Hua:
SGCN: Sparse Graph Convolution Network for Pedestrian Trajectory Prediction. CoRR abs/2104.01528 (2021) - [i7]Mo Zhou, Le Wang, Zhenxing Niu, Qilin Zhang, Nanning Zheng, Gang Hua:
Adversarial Attack and Defense in Deep Ranking. CoRR abs/2106.03614 (2021) - [i6]Rong Ge, Yunwei Ren, Xiang Wang, Mo Zhou:
Understanding Deflation Process in Over-parametrized Tensor Decomposition. CoRR abs/2106.06573 (2021) - 2020
- [j13]Xinyu Zhang, Mo Zhou, Huaping Liu, Amir Hussain:
A Cognitively Inspired System Architecture for the Mengshi Cognitive Vehicle. Cogn. Comput. 12(1): 140-149 (2020) - [j12]Mo Zhou, Yi Shan, Yemin Dong:
An Enhanced Well-Changed GGNMOS for 3.3-V ESD Protection in 0.13-µm SOI Process. IEICE Trans. Electron. 103-C(6): 332-334 (2020) - [j11]Rui Huang, Mo Zhou, Qiang Zhao, Yaobin Zou:
Change detection with absolute difference of multiscale deep features. Neurocomputing 418: 102-113 (2020) - [j10]Jiequn Han, Jianfeng Lu, Mo Zhou:
Solving high-dimensional eigenvalue problems using deep neural networks: A diffusion Monte Carlo like approach. J. Comput. Phys. 423: 109792 (2020) - [j9]Xinyu Zhang, Wenbo Shao, Mo Zhou, Qifan Tan, Jun Li:
A scene comprehensive safety evaluation method based on binocular camera. Robotics Auton. Syst. 128: 103503 (2020) - [c39]Mo Zhou, Zhenxing Niu, Le Wang, Zhanning Gao, Qilin Zhang, Gang Hua:
Ladder Loss for Coherent Visual-Semantic Embedding. AAAI 2020: 13050-13057 - [c38]Mo Zhou, Wojciech Bonenberg, Xia Wei, Ling Qi:
The Study on Adaptation of Vernacular Architecture in Modern Rural Architecture Design During the Process of Rural Revitalization. AHFE (14) 2020: 185-191 - [c37]Xia Wei, Wojciech Bonenberg, Mo Zhou, Jinzhong Wang:
Application of BIM Simulation and Visualization in Landscape Architecture Design. AHFE (14) 2020: 215-221 - [c36]Mo Zhou, Zhenxing Niu, Le Wang, Qilin Zhang, Gang Hua:
Adversarial Ranking Attack and Defense. ECCV (14) 2020: 781-799 - [c35]Zhenpeng Zheng, Xiangyu Meng, Jiaqi Zhang, Mo Zhou, Dihu Chen:
W-Band Synthesized Modulator and Demodulator with Wideband Performance in 65-nm CMOS. ISCAS 2020: 1-4 - [i5]Jiequn Han, Jianfeng Lu, Mo Zhou:
Solving high-dimensional eigenvalue problems using deep neural networks: A diffusion Monte Carlo like approach. CoRR abs/2002.02600 (2020) - [i4]Mo Zhou, Zhenxing Niu, Le Wang, Qilin Zhang, Gang Hua:
Adversarial Ranking Attack and Defense. CoRR abs/2002.11293 (2020)
2010 – 2019
- 2019
- [j8]Hai Wang, Geng Zhang, Hao Jiang, Jing Wu, Xing Yang, Mo Zhou:
Bayesian Optimization for Multimodal Heterogeneous Network Orchestration via Hybrid Probability Process. IEEE Access 7: 117954-117967 (2019) - [j7]Anne Miller, Anil Aswani, Mo Zhou, Matthew B. Weinger, Jason Slagle, Daniel J. France:
Using telephone call rates and nurse-to-patient ratios as measures of resilient performance under high patient flow conditions. Cogn. Technol. Work. 21(2): 225-236 (2019) - [j6]Xinyu Zhang, Mo Zhou, Peng Qiu, Yi Huang, Jun Li:
Radar and vision fusion for the real-time obstacle detection and identification. Ind. Robot 46(3): 391-395 (2019) - [j5]Mo Zhou, Yoshimi Fukuoka, Ken Goldberg, Eric Vittinghoff, Anil Aswani:
Applying machine learning to predict future adherence to physical activity programs. BMC Medical Informatics Decis. Mak. 19(1): 169:1-169:11 (2019) - [j4]Mo Zhou, Min Jin:
Holographic Ensemble Forecasting Method for Short-Term Power Load. IEEE Trans. Smart Grid 10(1): 425-434 (2019) - [c34]Xia Wei, Wojciech Bonenberg, Mo Zhou:
The Application of BIM in the "China Beautiful Rural" Design Project-Yangyou Village River Ecological Landscape Reconstruction Design Project. AHFE (15) 2019: 135-145 - [c33]Wojciech Bonenberg, Ling Qi, Mo Zhou, Xia Wei:
Smart Village as a Model of Sustainable Development. Case Study of Wielkopolska Region in Poland. AHFE (15) 2019: 234-242 - [c32]Ling Qi, Mo Zhou, Wojciech Bonenberg, Zixuan Ma:
Smart Eco-Villages and Tourism Development Based on Rural Revitalization with Comparison Chinese and Polish Traditional Villages Experiences. AHFE (15) 2019: 266-278 - [c31]Shoufang Liu, Lin Li, Wojciech Bonenberg, Teresa Bardzinska-Bonenberg, Mo Zhou:
Management Balance Between Nature and Rural Settlements in China. AHFE (15) 2019: 279-285 - [c30]Wojciech Bonenberg, Ling Qi, Mo Zhou, Xia Wei:
Users Preferences in Land Use and Architecture of Rural Areas. AHFE (15) 2019: 295-303 - [c29]Mo Zhou, Chuan Xu, Guofeng Zhao, Syed Mushhad Mustuzhar Gilani:
Personalized QoS Improvement in User-Centered Heterogeneous V2X Communication Networks. ChinaCom (1) 2019: 619-630 - [c28]Mo Zhou, Tianyi Liu, Yan Li, Dachao Lin, Enlu Zhou, Tuo Zhao:
Toward Understanding the Importance of Noise in Training Neural Networks. ICML 2019: 7594-7602 - [c27]Xinyu Zhang, Mo Zhou, Wenbo Shao, Tao Luo, Jun Li:
The Architecture of the Intended Safety System for Intelligent Driving. ISCAS 2019: 1-4 - [c26]Tianyi Liu, Minshuo Chen, Mo Zhou, Simon S. Du, Enlu Zhou, Tuo Zhao:
Towards Understanding the Importance of Shortcut Connections in Residual Networks. NeurIPS 2019: 7890-7900 - [i3]Mo Zhou, Tianyi Liu, Yan Li, Dachao Lin, Enlu Zhou, Tuo Zhao:
Towards Understanding the Importance of Noise in Training Neural Networks. CoRR abs/1909.03172 (2019) - [i2]Tianyi Liu, Minshuo Chen, Mo Zhou, Simon S. Du, Enlu Zhou, Tuo Zhao:
Towards Understanding the Importance of Shortcut Connections in Residual Networks. CoRR abs/1909.04653 (2019) - [i1]Mo Zhou, Zhenxing Niu, Le Wang, Zhanning Gao, Qilin Zhang, Gang Hua:
Ladder Loss for Coherent Visual-Semantic Embedding. CoRR abs/1911.07528 (2019) - 2018
- [c25]Jianhui Zhao, Xinyu Newman Zhang, Hongbo Gao, Jialun Yin, Mo Zhou, Chuanqi Tan:
Object Detection Based on Hierarchical Multi-view Proposal Network for Autonomous Driving. IJCNN 2018: 1-6 - [c24]Jianhui Zhao, Xinyu Newman Zhang, Hongbo Gao, Mo Zhou, Chuanqi Tan, Chong Xue:
DHA: Lidar and Vision data Fusion-based On Road Object Classifier. IJCNN 2018: 1-7 - [c23]Ling Xu, Bei Wang, Ling Liu, Mo Zhou, Shengping Liao, Meng Yan:
Misclassification Cost-Sensitive Software Defect Prediction. IRI 2018: 256-263 - [c22]Mo Zhou, Yonatan Mintz, Yoshimi Fukuoka, Ken Goldberg, Elena Flowers, Philip M. Kaminsky, Alejandro Castillejo, Anil Aswani:
Personalizing Mobile Fitness Apps using Reinforcement Learning. IUI Workshops 2018 - 2017
- [c21]Xia Wei, Wojciech Bonenberg, Mo Zhou, Jinzhong Wang, Xiaolei Wang:
The Case Study of BIM in Urban Planning and Design. AHFE (16) 2017: 207-217 - [c20]Mo Zhou, Wojciech Bonenberg, Xia Wei:
Analysis of the Transformation of Industrial Parks in Chinese Urban Planning to Eco-Chinese Parks and How They Are Performing - A Case Study. AHFE (16) 2017: 249-258 - [c19]Zhenxing Niu, Mo Zhou, Le Wang, Xinbo Gao, Gang Hua:
Hierarchical Multimodal LSTM for Dense Visual-Semantic Embedding. ICCV 2017: 1899-1907 - [c18]Mo Zhou, Sanjay Krishnan, Jay Patel, Brandie Nonnecke, Camille Crittenden, Ken Goldberg:
M-CAFE 2.0: A Scalable Platform with Comparative Plots and Topic Tagging for Ongoing Course Feedback. SIGITE 2017: 159-164 - 2016
- [c17]Zhenxing Niu, Mo Zhou, Le Wang, Xinbo Gao, Gang Hua:
Ordinal Regression with Multiple Output CNN for Age Estimation. CVPR 2016: 4920-4928 - 2015
- [j3]Hongwu Lv, Junyu Lin, Huiqiang Wang, Guangsheng Feng, Mo Zhou:
Analyzing the service availability of mobile cloud computing systems by fluid-flow approximation. Frontiers Inf. Technol. Electron. Eng. 16(7): 553-567 (2015) - [c16]Brandie Nonnecke, Sanjay Krishnan, Jay Patel, Mo Zhou, Laura Byaruhanga, Dorothy Masinde, Maria Elena Meneses, Alejandro Martin del Campo, Camille Crittenden, Kenneth Y. Goldberg:
DevCAFE 1.0: A participatory platform for assessing development initiatives in the field. GHTC 2015: 437-444 - [c15]Mo Zhou, Alison Cliff, Allen Huang, Sanjay Krishnan, Brandie Nonnecke, Kanji Uchino, Samuel Joseph, Armando Fox, Ken Goldberg:
M-CAFE: Managing MOOC Student Feedback with Collaborative Filtering. L@S 2015: 309-312 - [c14]Mo Zhou, Alison Cliff, Sanjay Krishnan, Brandie Nonnecke, Camille Crittenden, Kanji Uchino, Ken Goldberg:
M-CAFE 1.0: Motivating and Prioritizing Ongoing Student Feedback During MOOCs and Large on-Campus Courses using Collaborative Filtering. SIGITE 2015: 153-158 - [c13]John Bowler, Rogério Schmidt Feris, Liangliang Cao, Jun Wang, Mo Zhou:
Automated Axon Segmentation from Highly Noisy Microscopic Videos. WACV 2015: 915-920 - 2014
- [c12]Chao Zhao, Huiqiang Wang, Fangfang Guo, Mo Zhou, Yushu Zhang:
A Heuristic Method of Attack Graph Analysis for Network Security Hardening. CyberC 2014: 43-47 - [c11]Xinchen Liu, Huadong Ma, Huiyuan Fu, Mo Zhou:
Vehicle Retrieval and Trajectory Inference in Urban Traffic Surveillance Scene. ICDSC 2014: 26:1-26:6 - 2012
- [c10]Zhenhua Guo, Geoffrey C. Fox, Mo Zhou:
Investigation of Data Locality in MapReduce. CCGRID 2012: 419-426 - [c9]Zhenhua Guo, Geoffrey C. Fox, Mo Zhou, Yang Ruan:
Improving Resource Utilization in MapReduce. CLUSTER 2012: 402-410 - [c8]Bingshuang Liu, Tao Wei, Jianyu Zhang, Jun Li, Wei Zou, Mo Zhou:
Revisiting why Kad lookup fails. P2P 2012: 37-42 - 2011
- [c7]Mo Zhou, Yifan Pan, Yuqing Wu:
Efficient association discovery with keyword-based constraints on large graph data. CIKM 2011: 2441-2444 - [c6]Mo Zhou, Yifan Pan, Yuqing Wu:
Conkar: constraint keyword-based association discovery. CIKM 2011: 2553-2556 - [c5]Zhenhua Guo, Marlon E. Pierce, Geoffrey C. Fox, Mo Zhou:
Automatic Task Re-organization in MapReduce. CLUSTER 2011: 335-343 - [c4]Mo Zhou, Jianyu Zhang, Junhua Pan, Yu Chen, Wei Zou:
Overlay networks measurement for resource indexing under different routing scheme. ISCC 2011: 892-897 - [c3]Vahid Jalali, Mo Zhou, Yuqing Wu:
A Study of RDB-Based RDF Data Management Techniques. WAIM 2011: 366-378 - 2010
- [j2]Mo Zhou, Jianyu Zhang, Yafei Dai:
An implementation and optimization for scalable DHT crawler. Sci. China Inf. Sci. 53(4): 769-779 (2010) - [c2]Mo Zhou, Yuqing Wu:
XML-Based RDF Data Management for Efficient Query Processing. WebDB 2010
2000 – 2009
- 2007
- [j1]Mo Zhou, Yafei Dai, Xiaoming Li:
A Measurement Study of the Structured Overlay Network in P2P File-Sharing Systems. Adv. Multim. 2007: 27958:1-27958:9 (2007) - 2006
- [c1]Mo Zhou, Yafei Dai, Xiaoming Li:
A Measurement Study of the Structured Overlay Network in P2P File-Sharing Applications. ISM 2006: 621-628
Coauthor Index
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