| 2026 | AAAI | DAWN: Distributed LLM Multi-Agent Workflow Synthesis. | Guancheng Wan, Mo Zhou, Ziyi Wang, Xiaoran Shang, Eric Hanchen Jiang, Guibin Zhang, Jinhe Bi, Yunpu Ma, Zaixi Zhang, Ke Liang, Wenke Huang |
| 2025 | CVPR | PartStickers: Generating Parts of Objects for Rapid Prototyping. | Mo Zhou, Josh Myers-Dean, Danna Gurari |
| 2025 | GLOBECOM | Towards Interoperability of Low Power Wide Area Networks Using IEEE 2668. | Zhifu Zhang, Yucheng Liu, Mo Zhou, Hualong Wu, Haoran Chi, Gerhard P. Hancke |
| 2025 | ICCV | UniRes: Universal Image Restoration for Complex Degradations. | Mo Zhou, Keren Ye, Mauricio Delbracio, Peyman Milanfar, Vishal M. Patel, Hossein Talebi |
| 2025 | ICLR | Field-DiT: Diffusion Transformer on Unified Video, 3D, and Game Field Generation. | Kangfu Mei, Mo Zhou, Vishal M. Patel |
| 2025 | INDIN | Lightweight Hybrid Post-Quantum Communication VPN Architecture for Building-Wide IoT Systems. | Hao Liu, Zhifu Zhang, Mo Zhou, Gerhard Petrus Hancke |
| 2024 | ICPR | On Trace of PGD-Like Adversarial Attacks. | Mo Zhou, Vishal M. Patel |
| 2023 | DCC | Multiple Description Audio Coding for Wireless Low-Frequency Sound Zones. | Jan stergaard, Christian Pedersen, Mo Zhou, Niels de Koeijer, Martin Bo Mller |
| 2023 | ICASSP | Robust Fir Filters for Wireless Low-Frequency Sound Zones. | Mo Zhou, Martin Bo Mller, Christian Pedersen, Jan stergaard |
| 2023 | ICLR | Understanding Edge-of-Stability Training Dynamics with a Minimalist Example. | Xingyu Zhu, Zixuan Wang, Xiang Wang, Mo Zhou, Rong Ge |
| 2023 | ICLR | Plateau in Monotonic Linear Interpolation - A "Biased" View of Loss Landscape for Deep Networks. | Xiang Wang, Annie N. Wang, Mo Zhou, Rong Ge |
| 2023 | ICLR | Understanding The Robustness of Self-supervised Learning Through Topic Modeling. | Zeping Luo, Shiyou Wu, Cindy Weng, Mo Zhou, Rong Ge |
| 2023 | ICLR | Depth Separation with Multilayer Mean-Field Networks. | Yunwei Ren, Mo Zhou, Rong Ge |
| 2023 | ICML | Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression. | Mo Zhou, Rong Ge |
| 2023 | MICCAI | Segment Membranes and Nuclei from Histopathological Images via Nuclei Point-Level Supervision. | 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 |
| 2022 | CVPR | Enhancing Adversarial Robustness for Deep Metric Learning. | Mo Zhou, Vishal M. Patel |
| 2021 | COLT | A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network. | Mo Zhou, Rong Ge, Chi Jin |
| 2021 | CVPR | SGCN: Sparse Graph Convolution Network for Pedestrian Trajectory Prediction. | Liushuai Shi, Le Wang, Chengjiang Long, Sanping Zhou, Mo Zhou, Zhenxing Niu, Gang Hua |
| 2021 | ICCV | Practical Relative Order Attack in Deep Ranking. | Mo Zhou, Le Wang, Zhenxing Niu, Qilin Zhang, Yinghui Xu, Nanning Zheng, Gang Hua |
| 2020 | AAAI | Ladder Loss for Coherent Visual-Semantic Embedding. | Mo Zhou, Zhenxing Niu, Le Wang, Zhanning Gao, Qilin Zhang, Gang Hua |
| 2020 | ECCV | Adversarial Ranking Attack and Defense. | Mo Zhou, Zhenxing Niu, Le Wang, Qilin Zhang, Gang Hua |
| 2020 | ISCAS | W-Band Synthesized Modulator and Demodulator with Wideband Performance in 65-nm CMOS. | Zhenpeng Zheng, Xiangyu Meng, Jiaqi Zhang, Mo Zhou, Dihu Chen |
| 2019 | ICML | Toward Understanding the Importance of Noise in Training Neural Networks. | Mo Zhou, Tianyi Liu, Yan Li, Dachao Lin, Enlu Zhou, Tuo Zhao |
| 2019 | ISCAS | The Architecture of the Intended Safety System for Intelligent Driving. | Xinyu Zhang, Mo Zhou, Wenbo Shao, Tao Luo, Jun Li |
| 2018 | IJCNN | Object Detection Based on Hierarchical Multi-view Proposal Network for Autonomous Driving. | Jianhui Zhao, Xinyu Newman Zhang, Hongbo Gao, Jialun Yin, Mo Zhou, Chuanqi Tan |
| 2018 | IJCNN | DHA: Lidar and Vision data Fusion-based On Road Object Classifier. | Jianhui Zhao, Xinyu Newman Zhang, Hongbo Gao, Mo Zhou, Chuanqi Tan, Chong Xue |
| 2018 | IRI | Misclassification Cost-Sensitive Software Defect Prediction. | Ling Xu, Bei Wang, Ling Liu, Mo Zhou, Shengping Liao, Meng Yan |
| 2018 | IUI | Personalizing Mobile Fitness Apps using Reinforcement Learning. | Mo Zhou, Yonatan Mintz, Yoshimi Fukuoka, Ken Goldberg, Elena Flowers, Philip M. Kaminsky, Alejandro Castillejo, Anil Aswani |
| 2017 | ICCV | Hierarchical Multimodal LSTM for Dense Visual-Semantic Embedding. | Zhenxing Niu, Mo Zhou, Le Wang, Xinbo Gao, Gang Hua |
| 2017 | SIGITE | M-CAFE 2.0: A Scalable Platform with Comparative Plots and Topic Tagging for Ongoing Course Feedback. | Mo Zhou, Sanjay Krishnan, Jay Patel, Brandie Nonnecke, Camille Crittenden, Ken Goldberg |
| 2016 | CVPR | Ordinal Regression with Multiple Output CNN for Age Estimation. | Zhenxing Niu, Mo Zhou, Le Wang, Xinbo Gao, Gang Hua |
| 2015 | WACV | Automated Axon Segmentation from Highly Noisy Microscopic Videos. | John Bowler, Rogrio Schmidt Feris, Liangliang Cao, Jun Wang, Mo Zhou |
| 2015 | SIGITE | M-CAFE 1.0: Motivating and Prioritizing Ongoing Student Feedback During MOOCs and Large on-Campus Courses using Collaborative Filtering. | Mo Zhou, Alison Cliff, Sanjay Krishnan, Brandie Nonnecke, Camille Crittenden, Kanji Uchino, Ken Goldberg |
| 2012 | CCGRID | Investigation of Data Locality in MapReduce. | Zhenhua Guo, Geoffrey C. Fox, Mo Zhou |
| 2012 | CLUSTER | Improving Resource Utilization in MapReduce. | Zhenhua Guo, Geoffrey C. Fox, Mo Zhou, Yang Ruan |
| 2011 | CIKM | Efficient association discovery with keyword-based constraints on large graph data. | Mo Zhou, Yifan Pan, Yuqing Wu |
| 2011 | CIKM | Conkar: constraint keyword-based association discovery. | Mo Zhou, Yifan Pan, Yuqing Wu |
| 2011 | CLUSTER | Automatic Task Re-organization in MapReduce. | Zhenhua Guo, Marlon E. Pierce, Geoffrey C. Fox, Mo Zhou |
| 2011 | ISCC | Overlay networks measurement for resource indexing under different routing scheme. | Mo Zhou, Jianyu Zhang, Junhua Pan, Yu Chen, Wei Zou |
| 2006 | ISM | A Measurement Study of the Structured Overlay Network in P2P File-Sharing Applications. | Mo Zhou, Yafei Dai, Xiaoming Li |