Fuxun Yu - RankMe

86 papers A* 9A 12B 1Misc 2Journal 52Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FedMT: Multitask Federated Learning With Competitive GPU Resource Sharing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Yongbo Yu, Fuxun Yu, Zirui Xu, Di Wang, Minjia Zhang, Ang Li, Chenchen Liu, Zhi Tian, Xiang Chen
2026	J	`jnl`	From SFT to RL: Demystifying the Post-Training Pipeline for LLM-based Vulnerability Detection. CoRR Youpeng Li, Fuxun Yu, Xinda Wang
2025	A	`conf`	Click&Describe: Multimodal Grounding and Tracking for Aerial Objects. WACV Rupanjali Kukal, Jay Patravali, Fuxun Yu, Simranjit Singh, Nikolaos Karianakis, Rishi Madhok
2025	J	`jnl`	Geo-R1: Unlocking VLM Geospatial Reasoning with Cross-View Reinforcement Learning. CoRR Chenhui Xu, Fuxun Yu, Michael J. Bianco, Jacob Kovarskiy, Raphael Tang, Qi Zhang, Zirui Xu, Will LeVine, Brandon Dubbs, Heming Liao, Cassandra Burgess, Suvam Bag, Jay Patravali, Rupanjali Kukal, Mikael Figueroa, Rishi Madhok, Nikolaos Karianakis, Jinjun Xiong
2025	J	`jnl`	Geospatial Foundational Embedder: Top-1 Winning Solution on EarthVision Embed2Scale Challenge (CVPR 2025). CoRR Zirui Xu, Raphael Tang, Mike Bianco, Qi Zhang, Rishi Madhok, Nikolaos Karianakis, Fuxun Yu
2025	J	`jnl`	Multi-Agent Geospatial Copilots for Remote Sensing Workflows. CoRR Chaehong Lee, Varatheepan Paramanayakam, Andreas Karatzas, Yanan Jian, Michael Fore, Heming Liao, Fuxun Yu, Ruopu Li, Iraklis Anagnostopoulos, Dimitrios Stamoulis
2025	J	`jnl`	Rethinking Latency-Aware DNN Design With GPU Tail Effect Analysis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Fuxun Yu, Zirui Xu, Longfei Shangguan, Di Wang, Dimitrios Stamoulis, Rishi Madhok, Nikolaos Karianakis, Ang Li, Chenchen Liu, Yiran Chen, Xiang Chen
2025	J	`jnl`	Revisiting Pre-trained Language Models for Vulnerability Detection. CoRR Youpeng Li, Weiliang Qi, Xuyu Wang, Fuxun Yu, Xinda Wang
2025	J	`jnl`	VULPO: Context-Aware Vulnerability Detection via On-Policy LLM Optimization. CoRR Youpeng Li, Fuxun Yu, Xinda Wang
2024	A	`conf`	FedCAP: Robust Federated Learning via Customized Aggregation and Personalization. ACSAC Youpeng Li, Xinda Wang, Fuxun Yu, Lichao Sun, Wenbin Zhang, Xuyu Wang
2024	J	`jnl`	FedCAP: Robust Federated Learning via Customized Aggregation and Personalization. CoRR Youpeng Li, Xinda Wang, Fuxun Yu, Lichao Sun, Wenbin Zhang, Xuyu Wang
2024	A	`conf`	GACER: Granularity-Aware ConcurrEncy Regulation for Multi-Tenant Deep Learning. ICCAD Yongbo Yu, Fuxun Yu, Zhi Tian, Xiang Chen
2024	A*	`conf`	Infinite-Dimensional Feature Interaction. NeurIPS Chenhui Xu, Fuxun Yu, Maoliang Li, Zihao Zheng, Zirui Xu, Jinjun Xiong, Xiang Chen
2024	J	`jnl`	Infinite-Dimensional Feature Interaction. CoRR Chenhui Xu, Fuxun Yu, Maoliang Li, Zihao Zheng, Zirui Xu, Jinjun Xiong, Xiang Chen
2024	J	`jnl`	LLM-dCache: Improving Tool-Augmented LLMs with GPT-Driven Localized Data Caching. CoRR Simranjit Singh, Michael Fore, Andreas Karatzas, Chaehong Lee, Yanan Jian, Longfei Shangguan, Fuxun Yu, Iraklis Anagnostopoulos, Dimitrios Stamoulis
2024	—	`conf`	Online Learning via Memory: Retrieval-Augmented Detector Adaptation. ECCV Workshops (14) Yanan Jian, Fuxun Yu, Qi Zhang, William Levine, Brandon Dubbs, Nikolaos Karianakis
2024	J	`jnl`	Online Learning via Memory: Retrieval-Augmented Detector Adaptation. CoRR Yanan Jian, Fuxun Yu, Qi Zhang, William Levine, Brandon Dubbs, Nikolaos Karianakis
2024	A*	`conf`	Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble. ICML Chenhui Xu, Fuxun Yu, Zirui Xu, Nathan Inkawhich, Xiang Chen
2024	J	`jnl`	Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble. CoRR Chenhui Xu, Fuxun Yu, Zirui Xu, Nathan Inkawhich, Xiang Chen
2024	J	`jnl`	QuadraNet V2: Efficient and Sustainable Training of High-Order Neural Networks with Quadratic Adaptation. CoRR Chenhui Xu, Xinyao Wang, Fuxun Yu, Jinjun Xiong, Xiang Chen
2024	B	`conf`	QuadraNet: Improving High-Order Neural Interaction Efficiency with Hardware-Aware Quadratic Neural Networks. ASPDAC Chenhui Xu, Fuxun Yu, Zirui Xu, Chenchen Liu, Jinjun Xiong, Xiang Chen
2023	A*	`conf`	EagleRec: Edge-Scale Recommendation System Acceleration with Inter-Stage Parallelism Optimization on GPUs. DAC Yongbo Yu, Fuxun Yu, Xiang Sheng, Chenchen Liu, Xiang Chen
2023	J	`jnl`	FedHC: A Scalable Federated Learning Framework for Heterogeneous and Resource-Constrained Clients. CoRR Min Zhang, Fuxun Yu, Yongbo Yu, Minjia Zhang, Ang Li, Xiang Chen
2023	J	`jnl`	GACER: Granularity-Aware ConcurrEncy Regulation for Multi-Tenant Deep Learning. CoRR Yongbo Yu, Fuxun Yu, Mingjia Zhang, Di Wang, Tolga Soyata, Chenchen Liu, Xiang Chen
2023	J	`jnl`	LanCeX: A Versatile and Lightweight Defense Method against Condensed Adversarial Attacks in Image and Audio Recognition. ACM Trans. Embed. Comput. Syst. Zirui Xu, Fuxun Yu, Chenchen Liu, Xiang Chen
2023	J	`jnl`	QuadraNet: Improving High-Order Neural Interaction Efficiency with Hardware-Aware Quadratic Neural Networks. CoRR Chenhui Xu, Fuxun Yu, Zirui Xu, Chenchen Liu, Jinjun Xiong, Xiang Chen
2023	J	`jnl`	Stable Diffusion For Aerial Object Detection. CoRR Yanan Jian, Fuxun Yu, Simranjit Singh, Dimitrios Stamoulis
2022	J	`jnl`	A Survey of Multi-Tenant Deep Learning Inference on GPU. CoRR Fuxun Yu, Di Wang, Longfei Shangguan, Minjia Zhang, Chenchen Liu, Xiang Chen
2022	J	`jnl`	AntiDoteX: Attention-Based Dynamic Optimization for Neural Network Runtime Efficiency. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Fuxun Yu, Zirui Xu, Chenchen Liu, Dimitrios Stamoulis, Di Wang, Yanzhi Wang, Xiang Chen
2022	J	`jnl`	CaptorX: A Class-Adaptive Convolutional Neural Network Reconfiguration Framework. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Zhuwei Qin, Fuxun Yu, Zirui Xu, Chenchen Liu, Xiang Chen
2022	A	`conf`	FalCon: Fine-grained Feature Map Sparsity Computing with Decomposed Convolutions for Inference Optimization. WACV Zirui Xu, Fuxun Yu, Chenxi Liu, Zhe Wu, Hongcheng Wang, Xiang Chen
2022	—	`conf`	Powering Multi-Task Federated Learning with Competitive GPU Resource Sharing. WWW (Companion Volume) Yongbo Yu, Fuxun Yu, Zirui Xu, Di Wang, Minjia Zhang, Ang Li, Shawn Bray, Chenchen Liu, Xiang Chen
2022	J	`jnl`	Privacy-preserving federated learning for transportation mode prediction based on personal mobility data. High Confid. Comput. Fuxun Yu, Zirui Xu, Zhuwei Qin, Xiang Chen
2022	—	`conf`	QuadraLib: A Performant Quadratic Neural Network Library for Architecture Optimization and Design Exploration. MLSys Zirui Xu, Fuxun Yu, Jinjun Xiong, Xiang Chen
2022	J	`jnl`	QuadraLib: A Performant Quadratic Neural Network Library for Architecture Optimization and Design Exploration. CoRR Zirui Xu, Fuxun Yu, Jinjun Xiong, Xiang Chen
2022	A	`conf`	SC-UDA: Style and Content Gaps aware Unsupervised Domain Adaptation for Object Detection. WACV Fuxun Yu, Di Wang, Yinpeng Chen, Nikolaos Karianakis, Tong Shen, Pei Yu, Dimitrios Lymberopoulos, Sidi Lu, Weisong Shi, Xiang Chen
2022	A	`conf`	Supporting Massive DLRM Inference through Software Defined Memory. ICDCS Ehsan K. Ardestani, Changkyu Kim, Seung Jae Lee, Luoshang Pan, Jens Axboe, Valmiki Rampersad, Banit Agrawal, Fuxun Yu, Ansha Yu, Trung Le, Hector Yuen, Dheevatsa Mudigere, Shishir Juluri, Akshat Nanda, Manoj Wodekar, Krishnakumar Nair, Maxim Naumov, Chris Petersen, Mikhail Smelyanskiy, Vijay Rao
2022	—	`conf`	Wideband Spectrum Sensing based on Collaborative Multi-Task Learning. ICC Workshops Weishan Zhang, Yue Wang, Fuxun Yu, Zhuwei Qin, Xiang Chen, Zhi Tian
2021	J	`jnl`	A Survey of Large-Scale Deep Learning Serving System Optimization: Challenges and Opportunities. CoRR Fuxun Yu, Di Wang, Longfei Shangguan, Minjia Zhang, Xulong Tang, Chenchen Liu, Xiang Chen
2021	A	`conf`	Automated Runtime-Aware Scheduling for Multi-Tenant DNN Inference on GPU. ICCAD Fuxun Yu, Shawn Bray, Di Wang, Longfei Shangguan, Xulong Tang, Chenchen Liu, Xiang Chen
2021	J	`jnl`	Automated Runtime-Aware Scheduling for Multi-Tenant DNN Inference on GPU. CoRR Fuxun Yu, Shawn Bray, Di Wang, Longfei Shangguan, Xulong Tang, Chenchen Liu, Xiang Chen
2021	J	`jnl`	DiReCtX: Dynamic Resource-Aware CNN Reconfiguration Framework for Real-Time Mobile Applications. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Zirui Xu, Fuxun Yu, Zhuwei Qin, Chenchen Liu, Xiang Chen
2021	A*	`conf`	Fed2: Feature-Aligned Federated Learning. KDD Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, Chenchen Liu, Zhi Tian, Xiang Chen
2021	J	`jnl`	Fed2: Feature-Aligned Federated Learning. CoRR Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, Chenchen Liu, Zhi Tian, Xiang Chen
2021	A*	`conf`	Helios: Heterogeneity-Aware Federated Learning with Dynamically Balanced Collaboration. DAC Zirui Xu, Fuxun Yu, Jinjun Xiong, Xiang Chen
2021	J	`jnl`	REIN the RobuTS: Robust DNN-Based Image Recognition in Autonomous Driving Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Fuxun Yu, Zhuwei Qin, Chenchen Liu, Di Wang, Xiang Chen
2021	J	`jnl`	Supporting Massive DLRM Inference Through Software Defined Memory. CoRR Ehsan K. Ardestani, Changkyu Kim, Seung Jae Lee, Luoshang Pan, Valmiki Rampersad, Jens Axboe, Banit Agrawal, Fuxun Yu, Ansha Yu, Trung Le, Hector Yuen, Shishir Juluri, Akshat Nanda, Manoj Wodekar, Dheevatsa Mudigere, Krishnakumar Nair, Maxim Naumov, Chris Peterson, Mikhail Smelyanskiy, Vijay Rao
2020	A	`conf`	AntiDote: Attention-based Dynamic Optimization for Neural Network Runtime Efficiency. DATE Fuxun Yu, Chenchen Liu, Di Wang, Yanzhi Wang, Xiang Chen
2020	J	`jnl`	AntiDote: Attention-based Dynamic Optimization for Neural Network Runtime Efficiency. CoRR Fuxun Yu, Chenchen Liu, Di Wang, Yanzhi Wang, Xiang Chen
2020	A	`conf`	DC-CNN: Computational Flow Redefinition for Efficient CNN through Structural Decoupling. DATE Fuxun Yu, Zhuwei Qin, Di Wang, Ping Xu, Chenchen Liu, Zhi Tian, Xiang Chen
2020	J	`jnl`	Efficient Neural Network Implementation with Quadratic Neuron. CoRR Zirui Xu, Jinjun Xiong, Fuxun Yu, Xiang Chen
2020	A	`conf`	Enabling efficient ReRAM-based neural network computing via crossbar structure adaptive optimization. ISLPED Chenchen Liu, Fuxun Yu, Zhuwei Qin, Xiang Chen
2020	Misc	`conf`	Exploring the Design Space of Efficient Deep Neural Networks. SEC Fuxun Yu, Dimitrios Stamoulis, Di Wang, Dimitrios Lymberopoulos, Xiang Chen
2020	J	`jnl`	Heterogeneous Federated Learning. CoRR Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, Chenchen Liu, Zhi Tian, Xiang Chen
2020	—	`conf`	LanCe: A Comprehensive and Lightweight CNN Defense Methodology against Physical Adversarial Attacks on Embedded Multimedia Applications. ASP-DAC Zirui Xu, Fuxun Yu, Xiang Chen
2020	J	`jnl`	Third ArchEdge Workshop: Exploring the Design Space of Efficient Deep Neural Networks. CoRR Fuxun Yu, Dimitrios Stamoulis, Di Wang, Dimitrios Lymberopoulos, Xiang Chen
2020	—	`conf`	Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation. ASP-DAC Xiaolong Ma, Geng Yuan, Sheng Lin, Caiwen Ding, Fuxun Yu, Tao Liu, Wujie Wen, Xiang Chen, Yanzhi Wang
2020	J	`jnl`	Towards Latency-aware DNN Optimization with GPU Runtime Analysis and Tail Effect Elimination. CoRR Fuxun Yu, Zirui Xu, Tong Shen, Dimitrios Stamoulis, Longfei Shangguan, Di Wang, Rishi Madhok, Chunshui Zhao, Xin Li, Nikolaos Karianakis, Dimitrios Lymberopoulos, Ang Li, Chenchen Liu, Yiran Chen, Xiang Chen
2019	A*	`conf`	ADMM for Efficient Deep Learning with Global Convergence. KDD Junxiang Wang, Fuxun Yu, Xiang Chen, Liang Zhao
2019	J	`jnl`	ADMM for Efficient Deep Learning with Global Convergence. CoRR Junxiang Wang, Fuxun Yu, Xiang Chen, Liang Zhao
2019	—	`conf`	CAPTOR: a class adaptive filter pruning framework for convolutional neural networks in mobile applications. ASP-DAC Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen
2019	J	`jnl`	DoPa: A Fast and Comprehensive CNN Defense Methodology against Physical Adversarial Attacks. CoRR Zirui Xu, Fuxun Yu, Xiang Chen
2019	A	`conf`	Functionality-Oriented Convolutional Filter Pruning. BMVC Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen
2019	—	`conf`	HAMPER: high-performance adaptive mobile security enhancement against malicious speech and image recognition. ASP-DAC Zirui Xu, Fuxun Yu, Chenchen Liu, Xiang Chen
2019	A*	`conf`	Interpreting and Evaluating Neural Network Robustness. IJCAI Fuxun Yu, Zhuwei Qin, Chenchen Liu, Liang Zhao, Yanzhi Wang, Xiang Chen
2019	J	`jnl`	Interpreting and Evaluating Neural Network Robustness. CoRR Fuxun Yu, Zhuwei Qin, Chenchen Liu, Liang Zhao, Yanzhi Wang, Xiang Chen
2019	J	`jnl`	LanCe: A Comprehensive and Lightweight CNN Defense Methodology against Physical Adversarial Attacks on Embedded Multimedia Applications. CoRR Zirui Xu, Fuxun Yu, Xiang Chen
2019	A*	`conf`	MASKER: Adaptive Mobile Security Enhancement against Automatic Speech Recognition in Eavesdropping. DAC Fuxun Yu, Zirui Xu, Chenchen Liu, Xiang Chen
2019	—	`conf`	REIN: a robust training method for enhancing generalization ability of neural networks in autonomous driving systems. ASP-DAC Fuxun Yu, Chenchen Liu, Xiang Chen
2019	A*	`conf`	ReForm: Static and Dynamic Resource-Aware DNN Reconfiguration Framework for Mobile Device. DAC Zirui Xu, Fuxun Yu, Chenchen Liu, Xiang Chen
2019	J	`jnl`	Task-Adaptive Incremental Learning for Intelligent Edge Devices. CoRR Zhuwei Qin, Fuxun Yu, Xiang Chen
2019	Misc	`conf`	Task-adaptive incremental learning for intelligent edge devices. SEC Zhuwei Qin, Fuxun Yu, Xiang Chen
2019	J	`jnl`	Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation. CoRR Xiaolong Ma, Geng Yuan, Sheng Lin, Caiwen Ding, Fuxun Yu, Tao Liu, Wujie Wen, Xiang Chen, Yanzhi Wang
2019	J	`jnl`	Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning. CoRR Fuxun Yu, Di Wang, Yinpeng Chen, Nikolaos Karianakis, Pei Yu, Dimitrios Lymberopoulos, Xiang Chen
2018	J	`jnl`	ASP: A Fast Adversarial Attack Example Generation Framework based on Adversarial Saliency Prediction. CoRR Fuxun Yu, Qide Dong, Xiang Chen
2018	J	`jnl`	Demystifying Neural Network Filter Pruning. CoRR Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen
2018	A	`conf`	DiReCt: Resource-Aware Dynamic Model Reconfiguration for Convolutional Neural Network in Mobile Systems. ISLPED Zirui Xu, Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen
2018	J	`jnl`	Distilling Critical Paths in Convolutional Neural Networks. CoRR Fuxun Yu, Zhuwei Qin, Xiang Chen
2018	J	`jnl`	HASP: A High-Performance Adaptive Mobile Security Enhancement Against Malicious Speech Recognition. CoRR Zirui Xu, Fuxun Yu, Chenchen Liu, Xiang Chen
2018	J	`jnl`	How convolutional neural network see the world - A survey of convolutional neural network visualization methods. CoRR Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen
2018	J	`jnl`	How convolutional neural networks see the world - A survey of convolutional neural network visualization methods. Math. Found. Comput. Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen
2018	J	`jnl`	Interpretable Convolutional Filter Pruning. CoRR Zhuwei Qin, Fuxun Yu, Chenchen Liu, Liang Zhao, Xiang Chen
2018	J	`jnl`	Interpreting Adversarial Robustness: A View from Decision Surface in Input Space. CoRR Fuxun Yu, Chenchen Liu, Yanzhi Wang, Liang Zhao, Xiang Chen
2018	J	`jnl`	Progressive Weight Pruning of Deep Neural Networks using ADMM. CoRR Shaokai Ye, Tianyun Zhang, Kaiqi Zhang, Jiayu Li, Kaidi Xu, Yunfei Yang, Fuxun Yu, Jian Tang, Makan Fardad, Sijia Liu, Xiang Chen, Xue Lin, Yanzhi Wang
2018	—	`conf`	ReRise: An Adversarial Example Restoration System for Neuromorphic Computing Security. ISVLSI Chenchen Liu, Qide Dong, Fuxun Yu, Xiang Chen
2018	J	`jnl`	Towards Robust Training of Neural Networks by Regularizing Adversarial Gradients. CoRR Fuxun Yu, Zirui Xu, Yanzhi Wang, Chenchen Liu, Xiang Chen