Xiang Chen

Xiang Chen

Intelligence Fusion Laboratory

Conference Papers

  • [ICML ‘24] † C. Xu, F. Yu, Z. Xu, N. Inkawhich, and X. Chen. “Out-of-Distribution Detection via Deep Multi-Comprehension Ensemble,” in Proceedings of the International Conference on Machine Learning, to appear, 2024.
  • [ICASSP ‘24] * P. Xu, Y. Wang, X. Chen, and Z. Tian. “Communication-Efficient Decentralized Dynamic Kernel Learning,” in Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, pp. 7135~7139, 2024.
  • [ASP-DAC ‘24] † C. Xu, F. Yu, Z. Xu, C. Liu, J. Xiong, and X. Chen. “QuadraNet: Improving High-Order Neural Interaction Efficiency with Hardware-Aware Quadratic Neural Networks,” in Proceedings of the Asia and South Pacific Design Automation Conference, pp. 19~25, 2024.
  • [ICML ‘23] J. Zhang, A. Li, M. Tang, J. Sun, X. Chen, F. Zhang, C. Chen, Y. Chen, and H. Li. “Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction,” in Proceedings of the International Conference on Machine Learning, pp. 41354~41381, 2023.
  • [DAC ‘23] † Y. Yu, F. Yu, C. Liu, X. Sheng, and X. Chen. “EagleRec: Edge-Scale Recommendation System Acceleration with Inter-Stage Parallelism Optimization on GPUs,” in Proceedings of the Design Automation Conference, pp. 1~6, 2023.
  • [ICCASP ‘22] * P. Xu, Y. Wang, X. Chen, and Z. Tian. “Deep Kernel Learning Network with Multiple Learning Paths,” in Proceedings of the International Conference on Acoustics, Speech, \& Signal Processing, pp. 4438~4442, 2022.
  • [ICC ‘22] * W. Zhang, Y. Wang, F. Yu, Z. Qin, X. Chen, and Z. Tian. “Wideband Spectrum Sensing based on Collaborative Multi-Task Learning,” in Proceedings of the International Conference on Communication, pp. 1~6, 2022.
  • [MLSys ‘22] † Z. Xu, F. Yu, J. Xiong, and X. Chen. “QuadraLib: A Performant Quadratic Neural Network Library for Architecture Optimization and Design Exploration,” in Proceedings of the Conference on Machine Learning and Systems, pp. 503~514, 2022.
  • [WACV ‘22] † Z. Xu, F. Yu, C. Liu, H. Wang, and X. Chen. “FalCon: Fine-grained Feature Map Sparsity Computing with Decomposed Convolutions for Inference Optimization,” in Proceedings of the Winter Conference on Applications of Computer Vision, pp. 3634~3644, 2022.
  • [WACV ‘22] † F. Yu, D. Wang, Y. Chen, N. Karianakis, T. Shen, P Yu, D. Lymberopoulos, S. Lu, W. Shi, and X. Chen. “SC-UDA: Style and Content Gap Aware Unsupervised Domain Adaptation for Object Detection,” in Proceedings of the Winter Conference on Applications of Computer Vision, pp. 1061~1070, 2022.
  • [ICCAD ‘21] † F. Yu, S. Bray, D. Wang, L. Shangguan, X. Tang, C. Liu, and X. Chen. “Automated Runtime-Aware Scheduling for Multi-Tenant DNN Inference on GPU,” in Proceedings of the International Conference on Computer-Aided Design, pp. 1~9, 2021.
  • [DAC ‘21] † Z. Xu, F. Yu, J. Xiong, and X. Chen. “Helios: Heterogeneity-Aware Federated Learning with Dynamically Balanced Collaboration,” in Proceedings of the Design Automation Conference, pp. 997~1022, 2021.
  • [KDD ‘21] † F. Yu, W. Zhang, Z. Qin, Z. Xu, D. Wang, C. Liu, Z. Tian, and X. Chen. “Fed$^2$: Feature-Aligned Federated Learning,” in Proceedings of the ACM SigKDD Conference on Knowledge Discovery and Data Mining, pp. 2066~2074, 2021.
  • [SEC ‘20] † F. Yu, D. Stamoulis, D. Wang, D. Lymberopoulos, and X. Chen. “Exploring the Design Space of Efficient Deep Neural Networks,” in Proceedings of the ACM/IEEE Symposium on Edge Computing, pp. 317~318, 2020.
  • [SEC ‘20] ◦ X. Chen and Z. Qin. “Exploring Decentralized Collaboration in Heterogeneous Edge Training,” in Proceedings of the ACM/IEEE Symposium on Edge Computing, pp. 450~453, 2020.
  • [ISLPED ‘20] C. Liu, F. Yu, Z. Qin, and X. Chen. “Enabling Efficient ReRAM-based Neural Network Computing via Crossbar Structure Adaptive Optimization,” in Proceedings of the ACM/IEEE International Symposium on Low Power Electronics and Design, pp. 133~138, 2020.
  • [ECCV ‘20] X. Ma, W. Niu, T. Zhang, S. Liu, S. Lin, H. Li, X. Chen, J. Tang, K. Ma, B. Ren, and Y. Wang. “An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices,” in Proceedings of the European Conference on Computer Vision, pp. 629~645, 2020.
  • [DATE ‘20] † F. Yu, C. Liu, D. Wang, Y. Wang, and X. Chen. “AntiDOte: Attention-based Dynamic Optimization for Neural Network Runtime Efficiency,” in Proceedings of the Design Automation and Test in Europe Conference, pp. 951~956, 2020.
  • [DATE ‘20] † F. Yu, Z. Qin, D. Wang, P. Xu, C. Liu, Z. Tian, and X. Chen. “DC-CNN: Computational Flow Redefinition for Efficient CNN Inference through Model Structural Decoupling,” in Proceedings of the Design Automation and Test in Europe Conference, pp. 1097~1102, 2020.
  • [ASP-DAC ‘20] † Z. Xu, F. Yu, C. Liu, and X. Chen. “LanCe: A Comprehensive and Lightweight CNN Defense Methodology against Physical Adversarial Attacks on Embedded Multimedia Applications,” in Proceedings of the Asia and South Pacific Design Automation Conference, pp. 470~475, 2020.
  • [ASP-DAC ‘20] X. Ma, G. Yuan, S. Lin, C. Ding, F. Yu, T. Liu, W. Wen, X. Chen, and Y. Wang. “Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation,” in Proceedings of the Asia and South Pacific Design Automation Conference, pp. 301~306, 2020.
  • [CIKM ‘19] X. Guo, A. Alipour-Fanid, L. Wu, H. Purohit, X. Chen, K. Zeng, and Liang Zhao. “Multi-stage Deep Classifier Cascades for Open World Recognition,” in Proceedings of the ACM International Conference on Information and Knowledge Management, pp. 179~188, 2019.
  • [BMVC ‘19] † Z. Qin, F. Yu, C. Liu, and X. Chen. “Functionality-Oriented Convolutional Filter Pruning,” in Proceedings of the British Machine Vision Conf., No. 229, 2019.
  • [IJCAI ‘19] † F. Yu, Z. Qin, C. Liu, L. Zhao, Y. Wang, and X. Chen. “Interpreting and Evaluating Neural Network Robustness,” in Proceedings of the International Joint Conference on Artificial Intelligence, pp. 4199~4205, 2019.
  • [KDD ‘19] J. Wang, F. Yu, X. Chen, and L. Zhao. “ADMM for Efficient Deep Learning with Global Convergence,” in Proceedings of the ACM SigKDD Conference on Knowledge Discovery and Data Mining, pp. 111~119, 2019.
  • [DAC ‘19] † Z. Xu, F. Yu, C. Liu, and X. Chen. “ReForm: Static and Dynamic Resource-Aware DNN Reconfiguration Framework for Mobile Devices,” in Proceedings of the Design Automation Conference, pp. 183:1~183:6, 2019.
  • [DAC ‘19] † Z. Xu, F. Yu, C. Liu, and X. Chen. “MASKER: Adaptive Mobile Security Enhancement against Automatic Speech Recognition in Eavesdropping,” in Proceedings of the Design Automation Conference, pp. 163:1~163:6, 2019.
  • [ASP-DAC ‘19] † Z. Xu, F. Yu, C. Liu, and X. Chen. “HAMPER: High-Performance Adaptive Mobile Security Enhancement against Malicious Speech and Image Recognition,” in Proceedings of the Asia and South Pacific Design Automation Conf., pp. 512~517, 2019.
  • [ASP-DAC ‘19] † F. Yu, C. Liu, and X. Chen. “REIN: A Robust Training Method for Enhancing Generalization Ability of Neural Networks in Autonomous Driving Systems,” in Proceedings of the Asia and South Pacific Design Automation Conf., pp. 456~461, 2019.
  • [ASP-DAC ‘19] † Z. Qin, F. Yu, C. Liu, and X. Chen. “CAPTOR: A Class Adaptive Filter Pruning Framework for Convolutional Neural Networks in Mobile Applications,” in Proceedings of the Asia and South Pacific Design Automation Conf., pp. 444~449, 2019.
  • [GlobalSIP ‘18] * Z. Zhang, X. Chen, and Z. Tian. “A Hybrid Neural Network Framework and Application to Radar Automatic Target Recognition,” in Proceedings of the IEEE Global Conference on Signal and Information Processing, pp. 246~250, 2018.
  • [ISLPED ‘18] † Z. Xu, Z. Qin, F. Yu, C. Liu, and X. Chen. “DiReCt: Resource-Aware Dynamic Model Reconfiguration for Convolutional Neural Network in Mobile Systems,” in Proceedings of the ACM/IEEE International Symposium on Low Power Electronics and Design, pp. 37:1~37:6, 2018.
  • [ISVLSI ‘18] C. Liu, Q. Dong, F. Liu, F. Yu, and X. Chen. “ReRise: An Adversarial Example Restoration System for Neuromorphic Computing Security,” in Proceedings of the IEEE Computer Society Annual Symposium on VLSI, pp. 470~475, 2018.
  • [ICCAD ‘17] * J. Mao, Z. Qin, Z. Xu, K. Nixon, X. Chen, H. Li, and Y. Chen. “AdaLearner: An Adaptive Distributed Mobile Learning System for Neural Networks,” in Proceedings of the International Conf.\ on Computer-Aided Design, pp. 291~296, 2017.
  • [ICCAD ‘17] † Z. Qin, Z. Xu, Q. Dong, Y. Chen, and X. Chen. “VoCaM: Visualization Oriented Convolutional Neural Network Acceleration on Mobile Systems,” in Proceedings of the International Conference on Computer-Aided Design, pp. 835~840, 2017.
  • [ICCAD ‘17] * J. Mao, Z. Yang, W. Wen, C. Wu, L. Song, K. Nixon, X. Chen, H. Li, and Y. Chen. “MeDNN: A Distributed Mobile System with Enhanced Partition and Deployment for Large-Scale DNNs,” in Proceedings of the International Conference on Computer-Aided Design, pp. 751~756, 2017.
  • [SoCC ‘17] L. Broyde, K. Nixon, X. Chen, and H. Li. “MobiCore: An Adaptive Hybrid Approach for Power-Efficient CPU Management on Android Devices,” in Proceedings of the IEEE International System-on-Chip Conference, pp. 221~226, 2017.
  • [DATE ‘17] * J. Mao, X. Chen, K. Nixon, C. Krieger, and Y. Chen. “MoDNN: Local Distributed Mobile Computing System for Deep Neural Network,” in Proceedings of the Design Automation and Test in Europe Conference, pp. 1396~1401, 2017.
  • [ICCAD ‘16] K. Nixon, X. Chen, and Y. Chen. “Scope: Quality Retaining Display Rendering Workload Scaling based on User-Smartphone Distance,” in Proceedings of the International Conference on Computer-Aided Design, pp. 1~6, 2016.
  • [RSP ‘16] ◦ X. Chen, J. Mao, K. Nixon, and Y. Chen. “MORPh: Mobile OLED Power Friendly Camera System,” in Proceedings of the International Symposium on Rapid System Prototyping, pp. 7~11, 2016.
  • [SoCC ‘16] ◦ X. Chen, K. Nixon, and Y. Chen. “Practical Power Consumption Analysis with Current Smartphones,” in Proceedings of the IEEE International System-on-Chip Conference, pp. 333~337, 2016.
  • [DAC ‘16] ◦ X. Chen, J. Mao, J. Gao, K. Nixon, and Y. Chen. “MORPh: Mobile OLED-friendly Recording and Playback System for Low Power Video Streaming,” in Proceedings of the Design Automation Conference, pp. 1~6, 2016.
  • [ASP-DAC ‘16] K. Nixon, X. Chen, and Y. Chen. “Footfall: GPS Polling Scheduler for Power Saving on Wearable Devices,” in Proceedings of the Asia and South Pacific Design Automation Conference, pp. 563~568, 2016.
  • [ASP-DAC ‘16] K. Nixon, X. Chen, and Y. Chen. “SlowMo: Enhancing Mobile Gesture-based Authentication Schemes via Sampling Rate Optimization,” in Proceedings of the Asia and South Pacific Design Automation Conference, pp. 462~467, 2016.
  • [DAC ‘15] ◦ X. Chen, J. Xue, and Y. Chen. “DaTuM: Dynamic Tone Mapping Technique for OLED Display Power Saving based on Video Classification,” in Proceedings of Design Automation Conference, pp. 8~12, 2015.
  • [DAC ‘14] ◦ X. Chen, M. Dong, C. Zhang, and Y. Chen. “Demystify Smartphone Power Consumption: The Evolution of Smartphone Communication Modules,” in Proceedings of the Design Automation Conference, 2014.
  • [CODES+ISSS ‘13] M. Zhao, X. Chen, Y. Chen, and J. Xue. “Online OLED Dynamic Voltage Scaling for Video Streaming Applications on Mobile Devices,” in Proceedings of International Conf. on Hardware/Software Co-design and System Synthesis, pp. 1~10, 2013.
  • [RTSS ‘13] M. Zhao, X. Chen, Y. Chen, and J. Xue. “Online OLED Dynamic Voltage Scaling for Video Streaming Applications on Mobile Devices,” in Proceedings of the IEEE Real-Time Systems Symposium, Vol. 10, Iss. 2, No. 18, 2013.
  • [ASP-DAC ‘13] K. Nixon, X. Chen, Z.~H. Mao, Y. Chen, and K. Li. “Mobile User Classification and Authorization based on Gesture Usage Recognition,” in Proceedings of the Asia and South Pacific Design Automation Conference, pp. 384~389, 2013.
  • [ICCAD ‘12] ◦ X. Chen, J. Xue, and Y. Chen. “Mobile Devices User — The Subscriber and also the Publisher of Real-Time OLED Display Power Management Plan,” in Proceedings of the International Conference on Computer-Aided Design, pp. 687~690, 2012.
  • [ICCAD ‘12] ◦ X. Chen, B. Liu, M. Zhao, J. Xue, X. Guo, and Y. Chen. “Active Compensation Technique for the Thin-Film Transistor Variations and OLED Aging of Mobile Device Displays,” in Proceedings of the International Conference on Computer-Aided Design, pp. 516~522, 2012.
  • [DAC ‘12] ◦ X. Chen, M. Zhao, J. Zeng, J. Xue, and Y. Chen. “Quality-Retaining OLED Dynamic Voltage Scaling for Video Streaming Applications on Mobile Devices,” in Proceedings of the Design Automation Conference, pp. 1000~1005, 2012.
  • [ASP-DAC ‘12] ◦ X. Chen, J. Zeng, Y. Chen, and H. Li. “Fine-grained Dynamic Voltage Scaling on OLED Display,” in Proceedings of the Asia and South Pacific Design Automation Conference, pp. 807~812, 2012.
  • [CICC ‘11] P. Wang, X. Chen, Y. Chen, H. Li, S. Kang, X. Zhu, and W. Wu. “A 1.0V 45nm Nonvolatile Magnetic Latch Design and Its Robustness Analysis,” in Proceedings of the IEEE Custom Integrated Circuits Conference, pp. 1~4, 2011.
  • [WCSE ‘09] ◦ X. Chen, Z. Zhang, and R. Chen. “A Real-Time Driving Fatigue Monitoring DSP Device based on Computing Complexity of Binarized Image,” in Proceedings of IEEE International Workshop on Computer Science and Engineering, pp. 84~89, 2009.