Yan, Feng

30 publications

ICLR 2025 CO-MOT: Boosting End-to-End Transformer-Based Multi-Object Tracking via Coopetition Label Assignment and Shadow Sets Feng Yan, Weixin Luo, Yujie Zhong, Yiyang Gan, Lin Ma

AAAI 2025 Fed-DFA: Federated Distillation for Heterogeneous Model Fusion Through the Adversarial Lens Zichen Wang, Feng Yan, Tianyi Wang, Cong Wang, Yuanchao Shu, Peng Cheng, Jiming Chen

ICCV 2025 RoboTron-Drive: All-in-One Large Multimodal Model for Autonomous Driving Zhijian Huang, Chengjian Feng, Feng Yan, Baihui Xiao, Zequn Jie, Yujie Zhong, Xiaodan Liang, Lin Ma

ICCV 2025 RoboTron-Mani: All-in-One Multimodal Large Model for Robotic Manipulation Feng Yan, Fanfan Liu, Yiyang Huang, Zechao Guan, Liming Zheng, Yufeng Zhong, Chengjian Feng, Lin Ma

ICCV 2025 RoboTron-Nav: A Unified Framework for Embodied Navigation Integrating Perception, Planning, and Prediction Yufeng Zhong, Chengjian Feng, Feng Yan, Fanfan Liu, Liming Zheng, Lin Ma

ICCV 2025 RoboTron-Sim: Improving Real-World Driving via Simulated Hard-Case Baihui Xiao, Chengjian Feng, Zhijian Huang, Feng Yan, Yujie Zhong, Lin Ma

CVPR 2025 Wavelet and Prototype Augmented Query-Based Transformer for Pixel-Level Surface Defect Detection Feng Yan, Xiaoheng Jiang, Yang Lu, Jiale Cao, Dong Chen, Mingliang Xu

CVPRW 2024 CSCO: Connectivity Search of Convolutional Operators Tunhou Zhang, Shiyu Li, Hsin-Pai Cheng, Feng Yan, Hai Li, Yiran Chen

ICMLW 2024 Get It Cooperating: Enhancing Generative Agent Cooperation with Commitment Devices Feng Yan, Qitian Jason Hu, Nan Jiang, Xinyuan Sun

MLJ 2024 Knowledge-Aware Image Understanding with Multi-Level Visual Representation Enhancement for Visual Question Answering Feng Yan, Zhe Li, Wushour Silamu, Yanbing Li

ICLR 2024 ZeRO++: Extremely Efficient Collective Communication for Large Model Training Guanhua Wang, Heyang Qin, Sam Ade Jacobs, Xiaoxia Wu, Connor Holmes, Zhewei Yao, Samyam Rajbhandari, Olatunji Ruwase, Feng Yan, Lei Yang, Yuxiong He

ICLR 2023 DySR: Adaptive Super-Resolution via Algorithm and System Co-Design Syed Zawad, Cheng Li, Zhewei Yao, Elton Zheng, Yuxiong He, Feng Yan

WACV 2023 PIDS: Joint Point Interaction-Dimension Search for 3D Point Cloud Tunhou Zhang, Mingyuan Ma, Feng Yan, Hai Li, Yiran Chen

AutoML 2022 ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen

AAAI 2021 Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning Syed Zawad, Ahsan Ali, Pin-Yu Chen, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Yuan Tian, Feng Yan

AAAI 2021 NASGEM: Neural Architecture Search via Graph Embedding Method Hsin-Pai Cheng, Tunhou Zhang, Yixing Zhang, Shiyu Li, Feng Liang, Feng Yan, Meng Li, Vikas Chandra, Hai Li, Yiran Chen

NeurIPS 2021 SimiGrad: Fine-Grained Adaptive Batching for Large Scale Training Using Gradient Similarity Measurement Heyang Qin, Samyam Rajbhandari, Olatunji Ruwase, Feng Yan, Lei Yang, Yuxiong He

ICLR 2020 AutoGrow: Automatic Layer Growing in Deep Convolutional Networks Wei Wen, Feng Yan, Yiran Chen, Hai Li

AAAI 2020 AutoShrink: A Topology-Aware NAS for Discovering Efficient Neural Architecture Tunhou Zhang, Hsin-Pai Cheng, Zhenwen Li, Feng Yan, Chengyu Huang, Hai Helen Li, Yiran Chen

AAAI 2020 HDK: Toward High-Performance Deep-Learning-Based Kirchhoff Analysis Xinying Wang, Olamide Timothy Tawose, Feng Yan, Dongfang Zhao

CVPRW 2020 Learning Low-Rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen

ICCVW 2019 MSNet: Structural Wired Neural Architecture Search for Internet of Things Hsin-Pai Cheng, Tunhou Zhang, Yukun Yang, Feng Yan, Harris Teague, Yiran Chen, Hai Li

CVPRW 2018 Resolution-Enhanced Lensless Color Shadow Imaging Microscopy Based on Large Field-of-View Submicron-Pixel Imaging Sensors Cheng Yang, Haowen Ma, Xu Cao, Xia Hua, Xiaofeng Bu, Limin Zhang, Tao Yue, Feng Yan

NeurIPS 2017 TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning Wei Wen, Cong Xu, Feng Yan, Chunpeng Wu, Yandan Wang, Yiran Chen, Hai Li

ICML 2012 Infinite Tucker Decomposition: Nonparametric Bayesian Models for Multiway Data Analysis Zenglin Xu, Feng Yan, Yuan (Alan) Qi

NeurIPS 2011 EigenNet: A Bayesian Hybrid of Generative and Conditional Models for Sparse Learning Feng Yan, Yuan Qi

UAI 2011 Sparse Matrix-Variate Gaussian Process Blockmodels for Network Modeling Feng Yan, Zenglin Xu, Yuan (Alan) Qi

AAAI 2011 Sparse Matrix-Variate T Process Blockmodels Zenglin Xu, Feng Yan, Yuan (Alan) Qi

ICML 2010 Sparse Gaussian Process Regression via L1 Penalization Feng Yan, Yuan (Alan) Qi

NeurIPS 2009 Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units Feng Yan, Ningyi Xu, Yuan Qi