← Authors

Mo Zhou

22 papers · 2016–2026 · 9 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) πŸƒ Academic Marathon (9) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (36) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (9) πŸ† Grand Slam 🧬 Topic Evolution πŸ’Ž Century Club (21) ⚑ Prolific Year (6) πŸ”₯ Unstoppable (7) πŸ—ƒοΈ Keyword Collector (76)

Conferences

ICLR (5) NIPS (4) CVPR (3) ICCV (3) AAAI (2) ICML (2) COLT (1) ECCV (1) JMLR (1)

Top co-authors

Rong Ge (8) Le Wang (6) Gang Hua (6) Zhenxing Niu (6) Qilin Zhang (3) Vishal M. Patel (3) Xiang Wang (3) Yunwei Ren (2) Xinbo Gao (2) Tuo Zhao (2)

Keywords

gradient descent (5) triplet loss (3) metric learning (2) non-convex optimization (2) neural network (2) representation learning (2) federated learning (2) temporal difference learning (1) image restoration (1) adversarial learning (1) ordinal regression (1) policy gradient (1) natural policy gradient (1) trajectory prediction (1) tensor decomposition (1) adversarial robustness (1) deep learning (1) model complexity (1) adversarial training (1) feature learning (1)

Papers

DAWN: Distributed LLM Multi-Agent Workflow Synthesis AAAI 2026
Field-DiT: Diffusion Transformer on Unified Video, 3D, and Game Field Generation ICLR 2025
UniRes: Universal Image Restoration for Complex Degradations ICCV 2025
How does Gradient Descent Learn Features --- A Local Analysis for Regularized Two-Layer Neural Networks NIPS 2024
Single Timescale Actor-Critic Method to Solve the Linear Quadratic Regulator with Convergence Guarantees JMLR 2023
Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression ICML 2023
Depth Separation with Multilayer Mean-Field Networks ICLR 2023
Understanding The Robustness of Self-supervised Learning Through Topic Modeling ICLR 2023
Understanding Edge-of-Stability Training Dynamics with a Minimalist Example ICLR 2023
Plateau in Monotonic Linear Interpolation --- A "Biased" View of Loss Landscape for Deep Networks ICLR 2023
Enhancing Adversarial Robustness for Deep Metric Learning CVPR 2022
Resource-Adaptive Federated Learning with All-In-One Neural Composition NIPS 2022
Practical Relative Order Attack in Deep Ranking ICCV 2021
Understanding Deflation Process in Over-parametrized Tensor Decomposition NIPS 2021
A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network COLT 2021
SGCN: Sparse Graph Convolution Network for Pedestrian Trajectory Prediction CVPR 2021
Adversarial Ranking Attack and Defense ECCV 2020
Ladder Loss for Coherent Visual-Semantic Embedding AAAI 2020
Towards Understanding the Importance of Shortcut Connections in Residual Networks NIPS 2019
Toward Understanding the Importance of Noise in Training Neural Networks ICML 2019
Hierarchical Multimodal LSTM for Dense Visual-Semantic Embedding ICCV 2017
Ordinal Regression With Multiple Output CNN for Age Estimation CVPR 2016