Xiang Chen
Orcid: 0000-0003-2790-976XAffiliations:
- George Mason University, Department of Electrical and Computer Engineering, Fairfax, VA, USA
- University of Pittsburgh, Electrical and Computer Engineering Department, PA, USA (former, PhD)
According to our database1,
Xiang Chen
authored at least 106 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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on if-lab.org
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Bibliography
2024
IEEE Trans. Cogn. Commun. Netw., October, 2024
IEEE Trans. Wirel. Commun., September, 2024
CoRR, 2024
QuadraNet V2: Efficient and Sustainable Training of High-Order Neural Networks with Quadratic Adaptation.
CoRR, 2024
TupleRadar: Accelerating Tuple Space Search in Packet Classification by Learned Index.
Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
QuadraNet: Improving High-Order Neural Interaction Efficiency with Hardware-Aware Quadratic Neural Networks.
Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024
2023
Hankel tensor-based model and $$L_1$$-Tucker decomposition-based frequency recovery method for harmonic retrieval problem.
Comput. Appl. Math., February, 2023
LanCeX: A Versatile and Lightweight Defense Method against Condensed Adversarial Attacks in Image and Audio Recognition.
ACM Trans. Embed. Comput. Syst., 2023
Localization and Discrete Beamforming with a Large Reconfigurable Intelligent Surface.
CoRR, 2023
FedHC: A Scalable Federated Learning Framework for Heterogeneous and Resource-Constrained Clients.
CoRR, 2023
CoRR, 2023
Proceedings of the 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2023
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the IEEE International Conference on Communications, 2023
Aigis: Full-Coverage And Low-Overhead Mitigating Against Amplified Reflection DDoS Attacks.
Proceedings of the IEEE Global Communications Conference, 2023
EagleRec: Edge-Scale Recommendation System Acceleration with Inter-Stage Parallelism Optimization on GPUs.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
2022
IEEE Trans. Wirel. Commun., 2022
AntiDoteX: Attention-Based Dynamic Optimization for Neural Network Runtime Efficiency.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022
QC-ODKLA: Quantized and Communication-Censored Online Decentralized Kernel Learning via Linearized ADMM.
CoRR, 2022
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022
SC-UDA: Style and Content Gaps aware Unsupervised Domain Adaptation for Object Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
FalCon: Fine-grained Feature Map Sparsity Computing with Decomposed Convolutions for Inference Optimization.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
QuadraLib: A Performant Quadratic Neural Network Library for Architecture Optimization and Design Exploration.
Proceedings of the Fifth Conference on Machine Learning and Systems, 2022
Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022
Reconfigurable Intelligent Surface Assisted Millimeter Wave Indoor Localization Systems.
Proceedings of the IEEE International Conference on Communications, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021
DiReCtX: Dynamic Resource-Aware CNN Reconfiguration Framework for Real-Time Mobile Applications.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021
UAV-LEO Integrated Backbone: A Ubiquitous Data Collection Approach for B5G Internet of Remote Things Networks.
IEEE J. Sel. Areas Commun., 2021
J. Mach. Learn. Res., 2021
A Survey of Large-Scale Deep Learning Serving System Optimization: Challenges and Opportunities.
CoRR, 2021
CoRR, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021
Helios: Heterogeneity-Aware Federated Learning with Dynamically Balanced Collaboration.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021
2020
Third ArchEdge Workshop: Exploring the Design Space of Efficient Deep Neural Networks.
CoRR, 2020
Towards Latency-aware DNN Optimization with GPU Runtime Analysis and Tail Effect Elimination.
CoRR, 2020
CoRR, 2020
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020
Enabling efficient ReRAM-based neural network computing via crossbar structure adaptive optimization.
Proceedings of the ISLPED '20: ACM/IEEE International Symposium on Low Power Electronics and Design, 2020
Proceedings of the 5th IEEE/ACM Symposium on Edge Computing, 2020
Proceedings of the 5th IEEE/ACM Symposium on Edge Computing, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
DC-CNN: Computational Flow Redefinition for Efficient CNN through Structural Decoupling.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020
AntiDote: Attention-based Dynamic Optimization for Neural Network Runtime Efficiency.
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020
LanCe: A Comprehensive and Lightweight CNN Defense Methodology against Physical Adversarial Attacks on Embedded Multimedia Applications.
Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020
Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation.
Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020
2019
Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning.
CoRR, 2019
DoPa: A Fast and Comprehensive CNN Defense Methodology against Physical Adversarial Attacks.
CoRR, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019
MASKER: Adaptive Mobile Security Enhancement against Automatic Speech Recognition in Eavesdropping.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019
ReForm: Static and Dynamic Resource-Aware DNN Reconfiguration Framework for Mobile Device.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Proceedings of the 30th British Machine Vision Conference 2019, 2019
REIN: a robust training method for enhancing generalization ability of neural networks in autonomous driving systems.
Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019
HAMPER: high-performance adaptive mobile security enhancement against malicious speech and image recognition.
Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019
CAPTOR: a class adaptive filter pruning framework for convolutional neural networks in mobile applications.
Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019
2018
How convolutional neural networks see the world - A survey of convolutional neural network visualization methods.
Math. Found. Comput., 2018
CoRR, 2018
HASP: A High-Performance Adaptive Mobile Security Enhancement Against Malicious Speech Recognition.
CoRR, 2018
CoRR, 2018
How convolutional neural network see the world - A survey of convolutional neural network visualization methods.
CoRR, 2018
ASP: A Fast Adversarial Attack Example Generation Framework based on Adversarial Saliency Prediction.
CoRR, 2018
ReRise: An Adversarial Example Restoration System for Neuromorphic Computing Security.
Proceedings of the 2018 IEEE Computer Society Annual Symposium on VLSI, 2018
DiReCt: Resource-Aware Dynamic Model Reconfiguration for Convolutional Neural Network in Mobile Systems.
Proceedings of the International Symposium on Low Power Electronics and Design, 2018
A Hybrid Neural Network Framework and Application to Radar Automatic Target Recognition.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018
2017
MobiCore: An adaptive hybrid approach for power-efficient CPU management on Android devices.
Proceedings of the 30th IEEE International System-on-Chip Conference, 2017
VoCaM: Visualization oriented convolutional neural network acceleration on mobile system: Invited paper.
Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017
MeDNN: A distributed mobile system with enhanced partition and deployment for large-scale DNNs.
Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017
Proceedings of the 2017 IEEE/ACM International Conference on Computer-Aided Design, 2017
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017
2016
Proceedings of the 29th IEEE International System-on-Chip Conference, 2016
Proceedings of the 2016 International Symposium on Rapid System Prototyping, 2016
Scope - quality retaining display rendering workload scaling based on user-smartphone distance.
Proceedings of the 35th International Conference on Computer-Aided Design, 2016
MORPh: mobile OLED-friendly recording and playback system for low power video streaming.
Proceedings of the 53rd Annual Design Automation Conference, 2016
SlowMo - enhancing mobile gesture-based authentication schemes via sampling rate optimization.
Proceedings of the 21st Asia and South Pacific Design Automation Conference, 2016
Proceedings of the 21st Asia and South Pacific Design Automation Conference, 2016
2015
DaTuM: dynamic tone mapping technique for OLED display power saving based on video classification.
Proceedings of the 52nd Annual Design Automation Conference, 2015
2014
Mobile GPU Power Consumption Reduction via Dynamic Resolution and Frame Rate Scaling.
Proceedings of the 6th Workshop on Power-Aware Computing and Systems, 2014
Proceedings of the 6th Workshop on Power-Aware Computing and Systems, 2014
Proceedings of the 51st Annual Design Automation Conference 2014, 2014
2013
Online OLED dynamic voltage scaling for video streaming applications on mobile devices.
SIGBED Rev., 2013
Proceedings of the 14th Workshop on Mobile Computing Systems and Applications, 2013
Online OLED dynamic voltage scaling for video streaming applications on mobile devices.
Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2013
Proceedings of the 18th Asia and South Pacific Design Automation Conference, 2013
2012
ACM J. Emerg. Technol. Comput. Syst., 2012
Active compensation technique for the thin-film transistor variations and OLED aging of mobile device displays.
Proceedings of the 2012 IEEE/ACM International Conference on Computer-Aided Design, 2012
Mobile devices user - The subscriber and also the publisher of real-time OLED display power management plan.
Proceedings of the 2012 IEEE/ACM International Conference on Computer-Aided Design, 2012
Quality-retaining OLED dynamic voltage scaling for video streaming applications on mobile devices.
Proceedings of the 49th Annual Design Automation Conference 2012, 2012
Proceedings of the 17th Asia and South Pacific Design Automation Conference, 2012
2011
Proceedings of the 2011 IEEE Custom Integrated Circuits Conference, 2011