conftrace_
← Authors

Mo Zhou

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

Achievements

Jump to papers ↓
+9 more ↓ 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (9) 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