| 2026 | AsiaCCS | Revisiting Pre-trained Language Models for Vulnerability Detection. | Youpeng Li, Weiliang Qi, Xuyu Wang, Fuxun Yu, Xinda Wang |
| 2026 | WACV | QuadraNet V2: Efficient and Sustainable Training of High-Order Neural Networks with Quadratic Adaptation. | Chenhui Xu, Fuxun Yu, Jinjun Xiong, Xiang Chen |
| 2025 | WACV | Click&Describe: Multimodal Grounding and Tracking for Aerial Objects. | Rupanjali Kukal, Jay Patravali, Fuxun Yu, Simranjit Singh, Nikolaos Karianakis, Rishi Madhok |
| 2024 | ACSAC | FedCAP: Robust Federated Learning via Customized Aggregation and Personalization. | Youpeng Li, Xinda Wang, Fuxun Yu, Lichao Sun, Wenbin Zhang, Xuyu Wang |
| 2024 | ASPDAC | QuadraNet: Improving High-Order Neural Interaction Efficiency with Hardware-Aware Quadratic Neural Networks. | Chenhui Xu, Fuxun Yu, Zirui Xu, Chenchen Liu, Jinjun Xiong, Xiang Chen |
| 2024 | ECCV | Online Learning via Memory: Retrieval-Augmented Detector Adaptation. | Yanan Jian, Fuxun Yu, Qi Zhang, William Levine, Brandon Dubbs, Nikolaos Karianakis |
| 2024 | ICCAD | GACER: Granularity-Aware ConcurrEncy Regulation for Multi-Tenant Deep Learning. | Yongbo Yu, Fuxun Yu, Zhi Tian, Xiang Chen |
| 2024 | ICML | Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble. | Chenhui Xu, Fuxun Yu, Zirui Xu, Nathan Inkawhich, Xiang Chen |
| 2023 | DAC | EagleRec: Edge-Scale Recommendation System Acceleration with Inter-Stage Parallelism Optimization on GPUs. | Yongbo Yu, Fuxun Yu, Xiang Sheng, Chenchen Liu, Xiang Chen |
| 2022 | ICDCS | Supporting Massive DLRM Inference through Software Defined Memory. | 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 | WWW | Powering Multi-Task Federated Learning with Competitive GPU Resource Sharing. | Yongbo Yu, Fuxun Yu, Zirui Xu, Di Wang, Minjia Zhang, Ang Li, Shawn Bray, Chenchen Liu, Xiang Chen |
| 2022 | WACV | FalCon: Fine-grained Feature Map Sparsity Computing with Decomposed Convolutions for Inference Optimization. | Zirui Xu, Fuxun Yu, Chenxi Liu, Zhe Wu, Hongcheng Wang, Xiang Chen |
| 2022 | WACV | SC-UDA: Style and Content Gaps aware Unsupervised Domain Adaptation for Object Detection. | Fuxun Yu, Di Wang, Yinpeng Chen, Nikolaos Karianakis, Tong Shen, Pei Yu, Dimitrios Lymberopoulos, Sidi Lu, Weisong Shi, Xiang Chen |
| 2021 | DAC | Helios: Heterogeneity-Aware Federated Learning with Dynamically Balanced Collaboration. | Zirui Xu, Fuxun Yu, Jinjun Xiong, Xiang Chen |
| 2021 | ICCAD | Automated Runtime-Aware Scheduling for Multi-Tenant DNN Inference on GPU. | Fuxun Yu, Shawn Bray, Di Wang, Longfei Shangguan, Xulong Tang, Chenchen Liu, Xiang Chen |
| 2021 | KDD | Fed2: Feature-Aligned Federated Learning. | Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, Chenchen Liu, Zhi Tian, Xiang Chen |
| 2020 | ASPDAC | Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation. | Xiaolong Ma, Geng Yuan, Sheng Lin, Caiwen Ding, Fuxun Yu, Tao Liu, Wujie Wen, Xiang Chen, Yanzhi Wang |
| 2020 | ASPDAC | LanCe: A Comprehensive and Lightweight CNN Defense Methodology against Physical Adversarial Attacks on Embedded Multimedia Applications. | Zirui Xu, Fuxun Yu, Xiang Chen |
| 2020 | DATE | AntiDote: Attention-based Dynamic Optimization for Neural Network Runtime Efficiency. | Fuxun Yu, Chenchen Liu, Di Wang, Yanzhi Wang, Xiang Chen |
| 2020 | DATE | DC-CNN: Computational Flow Redefinition for Efficient CNN through Structural Decoupling. | Fuxun Yu, Zhuwei Qin, Di Wang, Ping Xu, Chenchen Liu, Zhi Tian, Xiang Chen |
| 2020 | ISLPED | Enabling efficient ReRAM-based neural network computing via crossbar structure adaptive optimization. | Chenchen Liu, Fuxun Yu, Zhuwei Qin, Xiang Chen |
| 2019 | ASPDAC | CAPTOR: a class adaptive filter pruning framework for convolutional neural networks in mobile applications. | Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen |
| 2019 | ASPDAC | HAMPER: high-performance adaptive mobile security enhancement against malicious speech and image recognition. | Zirui Xu, Fuxun Yu, Chenchen Liu, Xiang Chen |
| 2019 | ASPDAC | REIN: a robust training method for enhancing generalization ability of neural networks in autonomous driving systems. | Fuxun Yu, Chenchen Liu, Xiang Chen |
| 2019 | BMVC | Functionality-Oriented Convolutional Filter Pruning. | Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen |
| 2019 | DAC | ReForm: Static and Dynamic Resource-Aware DNN Reconfiguration Framework for Mobile Device. | Zirui Xu, Fuxun Yu, Chenchen Liu, Xiang Chen |
| 2019 | DAC | MASKER: Adaptive Mobile Security Enhancement against Automatic Speech Recognition in Eavesdropping. | Fuxun Yu, Zirui Xu, Chenchen Liu, Xiang Chen |
| 2019 | IJCAI | Interpreting and Evaluating Neural Network Robustness. | Fuxun Yu, Zhuwei Qin, Chenchen Liu, Liang Zhao, Yanzhi Wang, Xiang Chen |
| 2019 | KDD | ADMM for Efficient Deep Learning with Global Convergence. | Junxiang Wang, Fuxun Yu, Xiang Chen, Liang Zhao |
| 2018 | ISLPED | DiReCt: Resource-Aware Dynamic Model Reconfiguration for Convolutional Neural Network in Mobile Systems. | Zirui Xu, Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen |