Xiang Chen

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 81

Top Topics

Visualization Methods

Mobile Applications

Top Venues

Publications

Chenhui Xu, Fuxun Yu, Maoliang Li, Zihao Zheng, Zirui Xu, Jinjun Xiong, Xiang Chen
Infinite-Dimensional Feature Interaction. CoRR (2024)
Chenhui Xu, Fuxun Yu, Zirui Xu, Chenchen Liu, Jinjun Xiong, Xiang Chen
QuadraNet: Improving High-Order Neural Interaction Efficiency with Hardware-Aware Quadratic Neural Networks. ASPDAC (2024)
Xiang Chen, Xi Sun, Wenbin Zhang, Xin Yao, Zizheng Wang, Hongyan Liu, Qun Huang, Gaoning Pan, Xuan Liu, Haifeng Zhou, Chunming Wu
Accelerating Sketch-based End-Host Traffic Measurement with Automatic DPU Offloading. INFOCOM (2024)
Yongbo Yu, Fuxun Yu, Xiang Sheng, Chenchen Liu, Xiang Chen
EagleRec: Edge-Scale Recommendation System Acceleration with Inter-Stage Parallelism Optimization on GPUs. DAC (2023)
Yongbo Yu, Fuxun Yu, Mingjia Zhang, Di Wang, Tolga Soyata, Chenchen Liu, Xiang Chen
GACER: Granularity-Aware ConcurrEncy Regulation for Multi-Tenant Deep Learning. CoRR (2023)
Zirui Xu, Fuxun Yu, Chenchen Liu, Xiang Chen
LanCeX: A Versatile and Lightweight Defense Method against Condensed Adversarial Attacks in Image and Audio Recognition. ACM Trans. Embed. Comput. Syst. 22 (1) (2023)
Jianyi Zhang, Ang Li, Minxue Tang, Jingwei Sun, Xiang Chen, Fan Zhang, Changyou Chen, Yiran Chen, Hai Li
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction. ICML (2023)
Chenhui Xu, Fuxun Yu, Zirui Xu, Chenchen Liu, Jinjun Xiong, Xiang Chen
QuadraNet: Improving High-Order Neural Interaction Efficiency with Hardware-Aware Quadratic Neural Networks. CoRR (2023)
Zirui Xu, Fuxun Yu, Jinjun Xiong, Xiang Chen
QuadraLib: A Performant Quadratic Neural Network Library for Architecture Optimization and Design Exploration. MLSys (2022)
Zirui Xu, Fuxun Yu, Jinjun Xiong, Xiang Chen
QuadraLib: A Performant Quadratic Neural Network Library for Architecture Optimization and Design Exploration. CoRR (2022)
Yongbo Yu, Fuxun Yu, Zirui Xu, Di Wang, Minjia Zhang, Ang Li, Shawn Bray, Chenchen Liu, Xiang Chen
Powering Multi-Task Federated Learning with Competitive GPU Resource Sharing. WWW (Companion Volume) (2022)
Fuxun Yu, Di Wang, Longfei Shangguan, Minjia Zhang, Chenchen Liu, Xiang Chen
A Survey of Multi-Tenant Deep Learning Inference on GPU. CoRR (2022)
Fuxun Yu, Di Wang, Yinpeng Chen, Nikolaos Karianakis, Tong Shen, Pei Yu, Dimitrios Lymberopoulos, Sidi Lu, Weisong Shi, Xiang Chen
SC-UDA: Style and Content Gaps aware Unsupervised Domain Adaptation for Object Detection. WACV (2022)
Zhuwei Qin, Fuxun Yu, Zirui Xu, Chenchen Liu, Xiang Chen
CaptorX: A Class-Adaptive Convolutional Neural Network Reconfiguration Framework. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (3) (2022)
Fuxun Yu, Zirui Xu, Chenchen Liu, Dimitrios Stamoulis, Di Wang, Yanzhi Wang, Xiang Chen
AntiDoteX: Attention-Based Dynamic Optimization for Neural Network Runtime Efficiency. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (11) (2022)
Fuxun Yu, Di Wang, Longfei Shangguan, Minjia Zhang, Xulong Tang, Chenchen Liu, Xiang Chen
A Survey of Large-Scale Deep Learning Serving System Optimization: Challenges and Opportunities. CoRR (2021)
Zirui Xu, Fuxun Yu, Zhuwei Qin, Chenchen Liu, Xiang Chen
DiReCtX: Dynamic Resource-Aware CNN Reconfiguration Framework for Real-Time Mobile Applications. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40 (2) (2021)
Fuxun Yu, Zhuwei Qin, Chenchen Liu, Di Wang, Xiang Chen
REIN the RobuTS: Robust DNN-Based Image Recognition in Autonomous Driving Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40 (6) (2021)
Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, Chenchen Liu, Zhi Tian, Xiang Chen
Fed2: Feature-Aligned Federated Learning. KDD (2021)
Zirui Xu, Fuxun Yu, Jinjun Xiong, Xiang Chen
Helios: Heterogeneity-Aware Federated Learning with Dynamically Balanced Collaboration. DAC (2021)
Fuxun Yu, Shawn Bray, Di Wang, Longfei Shangguan, Xulong Tang, Chenchen Liu, Xiang Chen
Automated Runtime-Aware Scheduling for Multi-Tenant DNN Inference on GPU. CoRR (2021)
Ningyu Zhang, Qianghuai Jia, Shumin Deng, Xiang Chen, Hongbin Ye, Hui Chen, Huaixiao Tou, Gang Huang, Zhao Wang, Nengwei Hua, Huajun Chen
AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba. KDD (2021)
Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, Chenchen Liu, Zhi Tian, Xiang Chen
Fed2: Feature-Aligned Federated Learning. CoRR (2021)
Fuxun Yu, Shawn Bray, Di Wang, Longfei Shangguan, Xulong Tang, Chenchen Liu, Xiang Chen
Automated Runtime-Aware Scheduling for Multi-Tenant DNN Inference on GPU. ICCAD (2021)
Zirui Xu, Jinjun Xiong, Fuxun Yu, Xiang Chen
Efficient Neural Network Implementation with Quadratic Neuron. CoRR (2020)
Fuxun Yu, Dimitrios Stamoulis, Di Wang, Dimitrios Lymberopoulos, Xiang Chen
Exploring the Design Space of Efficient Deep Neural Networks. SEC (2020)
Zirui Xu, Fuxun Yu, Xiang Chen
LanCe: A Comprehensive and Lightweight CNN Defense Methodology against Physical Adversarial Attacks on Embedded Multimedia Applications. ASP-DAC (2020)
Fuxun Yu, Zhuwei Qin, Di Wang, Ping Xu, Chenchen Liu, Zhi Tian, Xiang Chen
DC-CNN: Computational Flow Redefinition for Efficient CNN through Structural Decoupling. DATE (2020)
Fuxun Yu, Chenchen Liu, Di Wang, Yanzhi Wang, Xiang Chen
AntiDote: Attention-based Dynamic Optimization for Neural Network Runtime Efficiency. DATE (2020)
Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Sheng Lin, Hongjia Li, Wujie Wen, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang
An Image Enhancing Pattern-Based Sparsity for Real-Time Inference on Mobile Devices. ECCV (13) (2020)
Fuxun Yu, Dimitrios Stamoulis, Di Wang, Dimitrios Lymberopoulos, Xiang Chen
Third ArchEdge Workshop: Exploring the Design Space of Efficient Deep Neural Networks. CoRR (2020)
Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Fu-Ming Guo, Sheng Lin, Hongjia Li, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices. CoRR (2020)
Xiang Chen, Zhuwei Qin
Exploring Decentralized Collaboration in Heterogeneous Edge Training. SEC (2020)
Fuxun Yu, Chenchen Liu, Di Wang, Yanzhi Wang, Xiang Chen
AntiDote: Attention-based Dynamic Optimization for Neural Network Runtime Efficiency. CoRR (2020)
Xiaolong Ma, Geng Yuan, Sheng Lin, Caiwen Ding, Fuxun Yu, Tao Liu, Wujie Wen, Xiang Chen, Yanzhi Wang
Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation. ASP-DAC (2020)
Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, Chenchen Liu, Zhi Tian, Xiang Chen
Heterogeneous Federated Learning. CoRR (2020)
Chenchen Liu, Fuxun Yu, Zhuwei Qin, Xiang Chen
Enabling efficient ReRAM-based neural network computing via crossbar structure adaptive optimization. ISLPED (2020)
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
Towards Latency-aware DNN Optimization with GPU Runtime Analysis and Tail Effect Elimination. CoRR (2020)
Fuxun Yu, Di Wang, Yinpeng Chen, Nikolaos Karianakis, Pei Yu, Dimitrios Lymberopoulos, Xiang Chen
Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning. CoRR (2019)
Junxiang Wang, Fuxun Yu, Xiang Chen, Liang Zhao
ADMM for Efficient Deep Learning with Global Convergence. KDD (2019)
Zirui Xu, Fuxun Yu, Chenchen Liu, Xiang Chen
ReForm: Static and Dynamic Resource-Aware DNN Reconfiguration Framework for Mobile Device. DAC (2019)
Zirui Xu, Fuxun Yu, Xiang Chen
DoPa: A Fast and Comprehensive CNN Defense Methodology against Physical Adversarial Attacks. CoRR (2019)
Xiaolong Ma, Geng Yuan, Sheng Lin, Caiwen Ding, Fuxun Yu, Tao Liu, Wujie Wen, Xiang Chen, Yanzhi Wang
Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation. CoRR (2019)
Zirui Xu, Zhao Yang, Jinjun Xiong, Jianlei Yang, Xiang Chen
ELFISH: Resource-Aware Federated Learning on Heterogeneous Edge Devices. CoRR (2019)
Xiaojie Guo, Amir Alipour-Fanid, Lingfei Wu, Hemant Purohit, Xiang Chen, Kai Zeng, Liang Zhao
Multi-stage Deep Classifier Cascades for Open World Recognition. CoRR (2019)
Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen
Functionality-Oriented Convolutional Filter Pruning. BMVC (2019)
Fuxun Yu, Zhuwei Qin, Chenchen Liu, Liang Zhao, Yanzhi Wang, Xiang Chen
Interpreting and Evaluating Neural Network Robustness. CoRR (2019)
Zhuwei Qin, Fuxun Yu, Xiang Chen
Task-adaptive incremental learning for intelligent edge devices. SEC (2019)
Fuxun Yu, Zirui Xu, Chenchen Liu, Xiang Chen
MASKER: Adaptive Mobile Security Enhancement against Automatic Speech Recognition in Eavesdropping. DAC (2019)
Xiaojie Guo, Amir Alipour-Fanid, Lingfei Wu, Hemant Purohit, Xiang Chen, Kai Zeng, Liang Zhao
Multi-stage Deep Classifier Cascades for Open World Recognition. CIKM (2019)
Junxiang Wang, Fuxun Yu, Xiang Chen, Liang Zhao
ADMM for Efficient Deep Learning with Global Convergence. CoRR (2019)
Fuxun Yu, Chenchen Liu, Xiang Chen
REIN: a robust training method for enhancing generalization ability of neural networks in autonomous driving systems. ASP-DAC (2019)
Zirui Xu, Fuxun Yu, Chenchen Liu, Xiang Chen
HAMPER: high-performance adaptive mobile security enhancement against malicious speech and image recognition. ASP-DAC (2019)
Zirui Xu, Fuxun Yu, Xiang Chen
LanCe: A Comprehensive and Lightweight CNN Defense Methodology against Physical Adversarial Attacks on Embedded Multimedia Applications. CoRR (2019)
Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen
CAPTOR: a class adaptive filter pruning framework for convolutional neural networks in mobile applications. ASP-DAC (2019)
Zhuwei Qin, Fuxun Yu, Xiang Chen
Task-Adaptive Incremental Learning for Intelligent Edge Devices. CoRR (2019)
Fuxun Yu, Zhuwei Qin, Chenchen Liu, Liang Zhao, Yanzhi Wang, Xiang Chen
Interpreting and Evaluating Neural Network Robustness. IJCAI (2019)
Fuxun Yu, Chenchen Liu, Yanzhi Wang, Liang Zhao, Xiang Chen
Interpreting Adversarial Robustness: A View from Decision Surface in Input Space. CoRR (2018)
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
Progressive Weight Pruning of Deep Neural Networks using ADMM. CoRR (2018)
Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen
How convolutional neural network see the world - A survey of convolutional neural network visualization methods. CoRR (2018)
Zhuwei Qin, Fuxun Yu, Chenchen Liu, Liang Zhao, Xiang Chen
Interpretable Convolutional Filter Pruning. CoRR (2018)
Fuxun Yu, Zhuwei Qin, Xiang Chen
Distilling Critical Paths in Convolutional Neural Networks. CoRR (2018)
Zhe Zhang, Xiang Chen, Zhi Tian
A Hybrid Neural Network Framework and Application to Radar Automatic Target Recognition. GlobalSIP (2018)
Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen
Demystifying Neural Network Filter Pruning. CoRR (2018)
Zirui Xu, Fuxun Yu, Chenchen Liu, Xiang Chen
HASP: A High-Performance Adaptive Mobile Security Enhancement Against Malicious Speech Recognition. CoRR (2018)
Zirui Xu, Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen
DiReCt: Resource-Aware Dynamic Model Reconfiguration for Convolutional Neural Network in Mobile Systems. ISLPED (2018)
Zhuwei Qin, Fuxun Yu, Chenchen Liu, Xiang Chen
How convolutional neural networks see the world - A survey of convolutional neural network visualization methods. Math. Found. Comput. 1 (2) (2018)
Fuxun Yu, Qide Dong, Xiang Chen
ASP: A Fast Adversarial Attack Example Generation Framework based on Adversarial Saliency Prediction. CoRR (2018)
Chenchen Liu, Qide Dong, Fuxun Yu, Xiang Chen
ReRise: An Adversarial Example Restoration System for Neuromorphic Computing Security. ISVLSI (2018)
Fuxun Yu, Zirui Xu, Yanzhi Wang, Chenchen Liu, Xiang Chen
Towards Robust Training of Neural Networks by Regularizing Adversarial Gradients. CoRR (2018)
Zhuwei Qin, Zirui Xu, Qide Dong, Yiran Chen, Xiang Chen
VoCaM: Visualization oriented convolutional neural network acceleration on mobile system: Invited paper. ICCAD (2017)
Jiachen Mao, Zhuwei Qin, Zirui Xu, Kent W. Nixon, Xiang Chen, Hai Li, Yiran Chen
AdaLearner: An adaptive distributed mobile learning system for neural networks. ICCAD (2017)
Jiachen Mao, Xiang Chen, Kent W. Nixon, Christopher D. Krieger, Yiran Chen
MoDNN: Local distributed mobile computing system for Deep Neural Network. DATE (2017)
Jiachen Mao, Zhongda Yang, Wei Wen, Chunpeng Wu, Linghao Song, Kent W. Nixon, Xiang Chen, Hai Li, Yiran Chen
MeDNN: A distributed mobile system with enhanced partition and deployment for large-scale DNNs. ICCAD (2017)
Lucie Broyde, Kent W. Nixon, Xiang Chen, Hai Li, Yiran Chen
MobiCore: An adaptive hybrid approach for power-efficient CPU management on Android devices. SoCC (2017)
Xiang Chen, Kent W. Nixon, Yiran Chen
Practical power consumption analysis with current smartphones. SoCC (2016)
Xiang Chen, Jiachen Mao, Kent W. Nixon, Yiran Chen
MORPh: mobile OLED power friendly camera system. RSP (2016)
Xiang Chen, Jiachen Mao, Jiafei Gao, Kent W. Nixon, Yiran Chen
MORPh: mobile OLED-friendly recording and playback system for low power video streaming. DAC (2016)
Kent W. Nixon, Xiang Chen, Yiran Chen
Footfall - GPS polling scheduler for power saving on wearable devices. ASP-DAC (2016)
Kent W. Nixon, Xiang Chen, Yiran Chen
Scope - quality retaining display rendering workload scaling based on user-smartphone distance. ICCAD (2016)
Kent W. Nixon, Xiang Chen, Zhi-Hong Mao, Yiran Chen
SlowMo - enhancing mobile gesture-based authentication schemes via sampling rate optimization. ASP-DAC (2016)
Xiang Chen, Yiran Chen, Chun Jason Xue
DaTuM: dynamic tone mapping technique for OLED display power saving based on video classification. DAC (2015)
Kent W. Nixon, Xiang Chen, Hucheng Zhou, Yunxin Liu, Yiran Chen
Mobile GPU Power Consumption Reduction via Dynamic Resolution and Frame Rate Scaling. HotPower (2014)
Xiang Chen, Kent W. Nixon, Hucheng Zhou, Yunxin Liu, Yiran Chen
FingerShadow: An OLED Power Optimization Based on Smartphone Touch Interactions. HotPower (2014)
Xiang Chen, Yiran Chen, Mian Dong, Jianzhong (Charlie) Zhang
Demystifying Energy Usage in Smartphones. DAC (2014)
Mengying Zhao, Yiran Chen, Xiang Chen, Chun Jason Xue
Online OLED dynamic voltage scaling for video streaming applications on mobile devices. SIGBED Rev. 10 (2) (2013)
Mengying Zhao, Hao Zhang, Xiang Chen, Yiran Chen, Chun Jason Xue
Online OLED dynamic voltage scaling for video streaming applications on mobile devices. CODES+ISSS (2013)
Xiang Chen, Yiran Chen, Zhan Ma, Felix C. A. Fernandes
How is energy consumed in smartphone display applications? HotMobile (2013)
Kent W. Nixon, Xiang Chen, Zhi-Hong Mao, Yiran Chen, Kang Li
Mobile user classification and authorization based on gesture usage recognition. ASP-DAC (2013)
Xiang Chen, Jian Zheng, Yiran Chen, Mengying Zhao, Chun Jason Xue
Quality-retaining OLED dynamic voltage scaling for video streaming applications on mobile devices. DAC (2012)
Xiang Chen, Beiye Liu, Yiran Chen, Mengying Zhao, Chun Jason Xue, Xiaojun Guo
Active compensation technique for the thin-film transistor variations and OLED aging of mobile device displays. ICCAD (2012)
Xiang Chen, Jian Zheng, Yiran Chen, Wei Zhang, Hai Li
Fine-grained dynamic voltage scaling on OLED display. ASP-DAC (2012)
Zhenyu Sun, Xiang Chen, Yaojun Zhang, Hai Li, Yiran Chen
Nonvolatile Memories as the Data Storage System for Implantable ECG Recorder. ACM J. Emerg. Technol. Comput. Syst. 8 (2) (2012)
Yiran Chen, Xiang Chen, Mengying Zhao, Chun Jason Xue
Mobile devices user - The subscriber and also the publisher of real-time OLED display power management plan. ICCAD (2012)
Peiyuan Wang, Xiang Chen, Yiran Chen, Hai Li, Seung H. Kang, Xiaochun Zhu, Wenqing Wu
A 1.0V 45nm nonvolatile magnetic latch design and its robustness analysis. CICC (2011)