Feng Yan

20 papers · 2009–2026 · 8 conferences · across top CS/AI conferences

Achievements

+11 more ↓

🏃 Academic Marathon (16) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (7) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird

🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (7) 🏃 Academic Marathon (16) 🧬 Topic Evolution 🏆 Keyword Champion 🗃️ Keyword Collector (103) ⚡ Prolific Year (7) 📈 Trend Setter 💎 Century Club (19) 🔥 Unstoppable (6) ❓ The Questioner

Conferences

AAAI (5) ICCV (4) NIPS (4) ICLR (3) ACL (1) AUTOML (1) CVPR (1) WACV (1)

Top co-authors

Lin Ma (5) Hai Li (5) Yiran Chen (5) Chengjian Feng (4) Tunhou Zhang (3) Yuxiong He (3) Yujie Zhong (3) Hsin-Pai Cheng (3) Yufeng Zhong (2) Feng Liang (2)

Keywords

neural architecture search (4) semantic segmentation (3) motion planning (2) federated learning (2) autonomous driving (2) large language model (2) domain adaptation (1) robotic manipulation (1) zero-shot learning (1) variable selection (1) in-context learning (1) bayesian learning (1) adversarial robustness (1) computer vision (1) object detection (1) multi-task learning (1) latent dirichlet allocation (1) knowledge distillation (1) sparse learning (1) adversarial learning (1)

Papers

Improving Autoformalization Using Direct Dependency Retrieval ACL 2026 Wavelet and Prototype Augmented Query-based Transformer for Pixel-level Surface Defect Detection CVPR 2025 Fed-DFA: Federated Distillation for Heterogeneous Model Fusion Through the Adversarial Lens AAAI 2025 RoboTrom-Nav: A Unified Framework for Embodied Navigation Integrating Perception, Planning, and Prediction ICCV 2025 RoboTron-Mani: All-in-One Multimodal Large Model for Robotic Manipulation ICCV 2025 RoboTron-Sim: Improving Real-World Driving via Simulated Hard-Case ICCV 2025 RoboTron-Drive: All-in-One Large Multimodal Model for Autonomous Driving ICCV 2025 CO-MOT: Boosting End-to-end Transformer-based Multi-Object Tracking via Coopetition Label Assignment and Shadow Sets ICLR 2025 ZeRO++: Extremely Efficient Collective Communication for Large Model Training ICLR 2024 PIDS: Joint Point Interaction-Dimension Search for 3D Point Cloud WACV 2023 DySR: Adaptive Super-Resolution via Algorithm and System Co-design ICLR 2023 ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation AUTOML 2022 Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning AAAI 2021 SimiGrad: Fine-Grained Adaptive Batching for Large Scale Training using Gradient Similarity Measurement NIPS 2021 NASGEM: Neural Architecture Search via Graph Embedding Method AAAI 2021 AutoShrink: A Topology-Aware NAS for Discovering Efficient Neural Architecture AAAI 2020 HDK: Toward High-Performance Deep-Learning-Based Kirchhoff Analysis AAAI 2020 TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning NIPS 2017 EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning NIPS 2011 Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units NIPS 2009