Mo Zhou

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 91

Top Venues

Publications

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) (2024)
Mo Zhou, Yue Zhou, Dawei Yang, Kai Song
Remote Sensing Image Classification Based on Canny Operator Enhanced Edge Features. Sensors 24 (12) (2024)
Mo Zhou, Yiding Yang, Haoxiang Li, Vishal M. Patel, Gang Hua
Deployment Prior Injection for Run-time Calibratable Object Detection. CoRR (2024)
Mo Zhou, Rong Ge
How Does Gradient Descent Learn Features - A Local Analysis for Regularized Two-Layer Neural Networks. CoRR (2024)
Yatong Bai, Mo Zhou, Vishal M. Patel, Somayeh Sojoudi
MixedNUTS: Training-Free Accuracy-Robustness Balance via Nonlinearly Mixed Classifiers. CoRR (2024)
Mo Zhou, Jianfeng Lu
Single Timescale Actor-Critic Method to Solve the Linear Quadratic Regulator with Convergence Guarantees. J. Mach. Learn. Res. 24 (2023)
Mo Zhou, Rong Ge
Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression. ICML (2023)
Le Wang, Mo Zhou, Zhenxing Niu, Qilin Zhang, Nanning Zheng
Adaptive Ladder Loss for Learning Coherent Visual-Semantic Embedding. IEEE Trans. Multim. 25 (2023)
Jan Østergaard, Christian Pedersen, Mo Zhou, Niels de Koeijer, Martin Bo Møller
Multiple Description Audio Coding for Wireless Low-Frequency Sound Zones. DCC (2023)
Yunwei Ren, Mo Zhou, Rong Ge
Depth Separation with Multilayer Mean-Field Networks. CoRR (2023)
Mo Zhou, Jianfeng Lu
A Policy Gradient Framework for Stochastic Optimal Control Problems with Global Convergence Guarantee. CoRR (2023)
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)
Mo Zhou, Rong Ge
Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression. CoRR (2023)
Mo Zhou, Martin Bo Møller, Christian Pedersen, Jan Østergaard
Robust Fir Filters for Wireless Low-Frequency Sound Zones. ICASSP (2023)
Zeping Luo, Shiyou Wu, Cindy Weng, Mo Zhou, Rong Ge
Understanding The Robustness of Self-supervised Learning Through Topic Modeling. ICLR (2023)
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)
Kangfu Mei, Mo Zhou, Vishal M. Patel
T1: Scaling Diffusion Probabilistic Fields to High-Resolution on Unified Visual Modalities. CoRR (2023)
Yunwei Ren, Mo Zhou, Rong Ge
Depth Separation with Multilayer Mean-Field Networks. ICLR (2023)
Yu Zeng, Mo Zhou, Yuan Xue, Vishal M. Patel
Securing Deep Generative Models with Universal Adversarial Signature. CoRR (2023)
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 (2023)
Xingyu Zhu, Zixuan Wang, Xiang Wang, Mo Zhou, Rong Ge
Understanding Edge-of-Stability Training Dynamics with a Minimalist Example. ICLR (2023)
Mo Zhou, Jiequn Han, Manas Rachh, Carlos Borges
A Neural Network Warm-Start Approach for the Inverse Acoustic Obstacle Scattering Problem. CoRR (2022)
Mo Zhou, Vishal M. Patel
Enhancing Adversarial Robustness for Deep Metric Learning. CoRR (2022)
Ye Kuang, Dandan Li, Xiaohong Huang, Mo Zhou, Weidu Wang
PoiEvent: An approach to extract the persistent and destructive routing events. Comput. Networks 217 (2022)
Xiang Wang, Annie N. Wang, Mo Zhou, Rong Ge
Plateau in Monotonic Linear Interpolation - A "Biased" View of Loss Landscape for Deep Networks. CoRR (2022)
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)
Mo Zhou, Jianfeng Lu
Single Time-scale Actor-critic Method to Solve the Linear Quadratic Regulator with Convergence Guarantees. CoRR (2022)
Xingyu Zhu, Zixuan Wang, Xiang Wang, Mo Zhou, Rong Ge
Understanding Edge-of-Stability Training Dynamics with a Minimalist Example. CoRR (2022)
Zeping Luo, Cindy Weng, Shiyou Wu, Mo Zhou, Rong Ge
One Objective for All Models - Self-supervised Learning for Topic Models. CoRR (2022)
Mo Zhou, Yujie Zhang, Jiasu Lei, Xiaowen Tan
Early firm engagement, government research funding, and the privatization of public knowledge. Scientometrics 127 (8) (2022)
Mo Zhou, Vishal M. Patel
On Trace of PGD-Like Adversarial Attacks. CoRR (2022)
Mo Zhou, Vishal M. Patel
Enhancing Adversarial Robustness for Deep Metric Learning. CVPR (2022)
Yiqun Mei, Pengfei Guo, Mo Zhou, Vishal Patel
Resource-Adaptive Federated Learning with All-In-One Neural Composition. NeurIPS (2022)
Rui Huang, Mo Zhou, Yan Xing, Yaobin Zou, Wei Fan
Change detection with various combinations of fluid pyramid integration networks. Neurocomputing 437 (2021)
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) (2021)
Liushuai Shi, Le Wang, Chengjiang Long, Sanping Zhou, Mo Zhou, Zhenxing Niu, Gang Hua
SGCN: Sparse Graph Convolution Network for Pedestrian Trajectory Prediction. CoRR (2021)
Mo Zhou, Le Wang, Zhenxing Niu, Qilin Zhang, Yinghui Xu, Nanning Zheng, Gang Hua
Practical Relative Order Attack in Deep Ranking. ICCV (2021)
Rong Ge, Yunwei Ren, Xiang Wang, Mo Zhou
Understanding Deflation Process in Over-parametrized Tensor Decomposition. NeurIPS (2021)
Wojciech Bonenberg, Agata Bonenberg, Lili Dong, Mo Zhou
Future City Lab. An Analytical Tool for Predicting Urban Development Trends. AHFE (14) (2021)
Mo Zhou, Rong Ge, Chi Jin
A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network. CoRR (2021)
Mo Zhou, Le Wang, Zhenxing Niu, Qilin Zhang, Nanning Zheng, Gang Hua
Adversarial Attack and Defense in Deep Ranking. CoRR (2021)
Mo Zhou, Rong Ge, Chi Jin
A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network. COLT (2021)
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) (2021)
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)
Xia Wei, Wojciech Bonenberg, Mo Zhou, Jinzhong Wang
The Impact of Building Information Modeling Design System on Traditional Urban Design Methods. AHFE (14) (2021)
Wojciech Bonenberg, Agata Bonenberg, Quan Wen, Mo Zhou
Application of Geo-Urban Centric Technology in Diagnostics of Urbanization Processes. AHFE (14) (2021)
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)
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)
Rong Ge, Yunwei Ren, Xiang Wang, Mo Zhou
Understanding Deflation Process in Over-parametrized Tensor Decomposition. CoRR (2021)
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)
Mo Zhou, Jiequn Han, Jianfeng Lu
Actor-Critic Method for High Dimensional Static Hamilton-Jacobi-Bellman Partial Differential Equations based on Neural Networks. CoRR (2021)
Mo Zhou, Le Wang, Zhenxing Niu, Qilin Zhang, Yinghui Xu, Nanning Zheng, Gang Hua
Practical Relative Order Attack in Deep Ranking. CoRR (2021)
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) (2021)
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)
Mo Zhou, Zhenxing Niu, Le Wang, Qilin Zhang, Gang Hua
Adversarial Ranking Attack and Defense. ECCV (14) (2020)
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 (2020)
Jiequn Han, Jianfeng Lu, Mo Zhou
Solving high-dimensional eigenvalue problems using deep neural networks: A diffusion Monte Carlo like approach. CoRR (2020)
Xia Wei, Wojciech Bonenberg, Mo Zhou, Jinzhong Wang
Application of BIM Simulation and Visualization in Landscape Architecture Design. AHFE (14) (2020)
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)
Rui Huang, Mo Zhou, Qiang Zhao, Yaobin Zou
Change detection with absolute difference of multiscale deep features. Neurocomputing 418 (2020)
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. (6) (2020)
Mo Zhou, Zhenxing Niu, Le Wang, Zhanning Gao, Qilin Zhang, Gang Hua
Ladder Loss for Coherent Visual-Semantic Embedding. AAAI (2020)
Xinyu Zhang, Mo Zhou, Huaping Liu, Amir Hussain
A Cognitively Inspired System Architecture for the Mengshi Cognitive Vehicle. Cogn. Comput. 12 (1) (2020)
Xinyu Zhang, Wenbo Shao, Mo Zhou, Qifan Tan, Jun Li
A scene comprehensive safety evaluation method based on binocular camera. Robotics Auton. Syst. 128 (2020)
Mo Zhou, Zhenxing Niu, Le Wang, Qilin Zhang, Gang Hua
Adversarial Ranking Attack and Defense. CoRR (2020)
Shoufang Liu, Lin Li, Wojciech Bonenberg, Teresa Bardzinska-Bonenberg, Mo Zhou
Management Balance Between Nature and Rural Settlements in China. AHFE (15) (2019)
Mo Zhou, Min Jin
Holographic Ensemble Forecasting Method for Short-Term Power Load. IEEE Trans. Smart Grid 10 (1) (2019)
Mo Zhou, Zhenxing Niu, Le Wang, Zhanning Gao, Qilin Zhang, Gang Hua
Ladder Loss for Coherent Visual-Semantic Embedding. CoRR (2019)
Xinyu Zhang, Mo Zhou, Wenbo Shao, Tao Luo, Jun Li
The Architecture of the Intended Safety System for Intelligent Driving. ISCAS (2019)
Wojciech Bonenberg, Ling Qi, Mo Zhou, Xia Wei
Users Preferences in Land Use and Architecture of Rural Areas. AHFE (15) (2019)
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) (2019)
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)
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 (2019)
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)
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)
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) (2019)
Mo Zhou, Chuan Xu, Guofeng Zhao, Syed Mushhad Mustuzhar Gilani
Personalized QoS Improvement in User-Centered Heterogeneous V2X Communication Networks. ChinaCom (1) (2019)
Mo Zhou, Tianyi Liu, Yan Li, Dachao Lin, Enlu Zhou, Tuo Zhao
Towards Understanding the Importance of Noise in Training Neural Networks. CoRR (2019)
Mo Zhou, Tianyi Liu, Yan Li, Dachao Lin, Enlu Zhou, Tuo Zhao
Toward Understanding the Importance of Noise in Training Neural Networks. ICML (2019)
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)
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) (2019)
Tianyi Liu, Minshuo Chen, Mo Zhou, Simon S. Du, Enlu Zhou, Tuo Zhao
Towards Understanding the Importance of Shortcut Connections in Residual Networks. CoRR (2019)
Ling Xu, Bei Wang, Ling Liu, Mo Zhou, Shengping Liao, Meng Yan
Misclassification Cost-Sensitive Software Defect Prediction. IRI (2018)
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)
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)
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)
Zhenxing Niu, Mo Zhou, Le Wang, Xinbo Gao, Gang Hua
Hierarchical Multimodal LSTM for Dense Visual-Semantic Embedding. ICCV (2017)
Xia Wei, Wojciech Bonenberg, Mo Zhou, Jinzhong Wang, Xiaolei Wang
The Case Study of BIM in Urban Planning and Design. AHFE (16) (2017)
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)
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)
Zhenxing Niu, Mo Zhou, Le Wang, Xinbo Gao, Gang Hua
Ordinal Regression with Multiple Output CNN for Age Estimation. CVPR (2016)
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)
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) (2015)
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)
John Bowler, Rogério Schmidt Feris, Liangliang Cao, Jun Wang, Mo Zhou
Automated Axon Segmentation from Highly Noisy Microscopic Videos. WACV (2015)
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)
Chao Zhao, Huiqiang Wang, Fangfang Guo, Mo Zhou, Yushu Zhang
A Heuristic Method of Attack Graph Analysis for Network Security Hardening. CyberC (2014)
Xinchen Liu, Huadong Ma, Huiyuan Fu, Mo Zhou
Vehicle Retrieval and Trajectory Inference in Urban Traffic Surveillance Scene. ICDSC (2014)
Zhenhua Guo, Geoffrey C. Fox, Mo Zhou, Yang Ruan
Improving Resource Utilization in MapReduce. CLUSTER (2012)
Bingshuang Liu, Tao Wei, Jianyu Zhang, Jun Li, Wei Zou, Mo Zhou
Revisiting why Kad lookup fails. P2P (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mo Zhou