Xiaoming Chen

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 86

Top Venues

DAC

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

ASP-DAC

DATE

Publications

Yuxin Yang, Xiaoming Chen, Yinhe Han
JANM-IK: Jacobian Argumented Nelder-Mead Algorithm for Inverse Kinematics and its Hardware Acceleration. IEEE Comput. Archit. Lett. 23 (1) (2024)
Ning Lin, Shaocong Wang, Yue Zhang, Yangu He, Kwunhang Wong, Arindam Basu, Dashan Shang, Xiaoming Chen, Zhongrui Wang
Older and Wiser: The Marriage of Device Aging and Intellectual Property Protection of Deep Neural Networks. CoRR (2024)
Wanqian Li, Xiaotian Sun, Xinyu Wang, Lei Wang, Yinhe Han, Xiaoming Chen
PIMSYN: Synthesizing Processing-in-memory CNN Accelerators. CoRR (2024)
Yi Chen, Bosheng Liu, Yongqi Xu, Jigang Wu, Xiaoming Chen, Peng Liu, Qingguo Zhou, Yinhe Han
Accelerating Frequency-domain Convolutional Neural Networks Inference using FPGAs. ISCAS (2024)
Wanqian Li, Xiaotian Sun, Xinyu Wang, Lei Wang, Yinhe Han, Xiaoming Chen
PIMSYN: Synthesizing Processing-in-Memory CNN Accelerators. DATE (2024)
Xinyu Wang, Xiaotian Sun, Yinhe Han, Xiaoming Chen
PIMSIM-NN: An ISA-based Simulation Framework for Processing-in-Memory Accelerators. CoRR (2024)
Xiaoyang Lu, Boyu Long, Xiaoming Chen, Yinhe Han, Xian-He Sun
ACES: Accelerating Sparse Matrix Multiplication with Adaptive Execution Flow and Concurrency-Aware Cache Optimizations. ASPLOS (3) (2024)
Xiaoyu Zhang, Zerun Li, Rui Liu, Xiaoming Chen, Yinhe Han
GAS: General-Purpose In-Memory-Computing Accelerator for Sparse Matrix Multiplication. IEEE Trans. Computers 73 (6) (2024)
Xinyu Wang, Xiaotian Sun, Yinhe Han, Xiaoming Chen
PIMSIM-NN: An ISA-based Simulation Framework for Processing-in-Memory Accelerators. DATE (2024)
Wanqian Li, Yinhe Han, Xiaoming Chen
Mathematical Framework for Optimizing Crossbar Allocation for ReRAM-based CNN Accelerators. ACM Trans. Design Autom. Electr. Syst. 29 (1) (2024)
Bosheng Liu, Hongyi Liang, Jigang Wu, Xiaoming Chen, Peng Liu, Yinhe Han
Accelerating Convolutional Neural Networks in Frequency Domain via Kernel-Sharing Approach. ASP-DAC (2023)
Rui Tang, Xiaoyu Zhang, Rui Liu, Zhejian Luo, Xiaoming Chen, Yinhe Han
Hardware-Software Co-Design for Content-Based Sparse Attention. ICCD (2023)
Xiaotian Sun, Xinyu Wang, Wanqian Li, Lei Wang, Yinhe Han, Xiaoming Chen
PIMCOMP: A Universal Compilation Framework for Crossbar-based PIM DNN Accelerators. DAC (2023)
Libo Shen, Boyu Long, Rui Liu, Xiaoyu Zhang, Yinhe Han, Xiaoming Chen
LIM-GEN: A Data-Guided Framework for Automated Generation of Heterogeneous Logic-in-Memory Architecture. ICCAD (2023)
Xiaoyu Zhang, Zerun Li, Rui Liu, Xiaoming Chen, Yinhe Han
FSPA: An FeFET-based Sparse Matrix-Dense Vector Multiplication Accelerator. DAC (2023)
Zhenhua Zhu, Hanbo Sun, Tongxin Xie, Yu Zhu, Guohao Dai, Lixue Xia, Dimin Niu, Xiaoming Chen, Xiaobo Sharon Hu, Yu Cao, Yuan Xie, Huazhong Yang, Yu Wang
MNSIM 2.0: A Behavior-Level Modeling Tool for Processing-In-Memory Architectures. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (11) (2023)
Yuxin Yang, Xiaoming Chen, Yinhe Han
RBDCore: Robot Rigid Body Dynamics Accelerator with Multifunctional Pipelines. CoRR (2023)
Rui Liu, Xiaoyu Zhang, Zhiwen Xie, Xinyu Wang, Zerun Li, Xiaoming Chen, Yinhe Han, Minghua Tang
FeCrypto: Instruction Set Architecture for Cryptographic Algorithms Based on FeFET-Based In-Memory Computing. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (9) (2023)
Bosheng Liu, Zhuoshen Jiang, Yalan Wu, Jigang Wu, Xiaoming Chen, Peng Liu, Qingguo Zhou, Yinhe Han
Frequency-Domain Inference Acceleration for Convolutional Neural Networks Using ReRAMs. IEEE Trans. Parallel Distributed Syst. 34 (12) (2023)
Hang Xiao, Haobo Xu, Xiaoming Chen, Yujie Wang, Yinhe Han
Fast and High-Accuracy Approximate MAC Unit Design for CNN Computing. IEEE Embed. Syst. Lett. 14 (3) (2022)
Xiaoming Chen
Numerically-Stable and Highly-Scalable Parallel LU Factorization for Circuit Simulation. ICCAD (2022)
Bosheng Liu, Xiaoming Chen, Yinhe Han, Jigang Wu, Liang Chang, Peng Liu, Haobo Xu
Search-Free Inference Acceleration for Sparse Convolutional Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (7) (2022)
Haobo Xu, Yuxin Yang, Feng Min, Junpei Huang, Xiaoming Chen, Yinhe Han, Ninghui Sun
Toward Efficient Computing for Robotics: From a Circuit and System View. IEEE Trans. Circuits Syst. II Express Briefs 69 (7) (2022)
Wenxing Li, Ning Lin, Mingzhe Zhang, Hang Lu, Xiaoming Chen, Xiaowei Li
VNet: a versatile network to train real-time semantic segmentation models on a single GPU. Sci. China Inf. Sci. 65 (3) (2022)
Xiaoyu Zhang, Rui Liu, Tao Song, Yuxin Yang, Yinhe Han, Xiaoming Chen
Re-FeMAT: A Reconfigurable Multifunctional FeFET-Based Memory Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (11) (2022)
Wanqian Li, Yinhe Han, Xiaoming Chen
Energy-Efficient In-SRAM Accumulation for CMOS-based CNN Accelerators. ACM Great Lakes Symposium on VLSI (2022)
Hang Xiao, Haobo Xu, Xiaoming Chen, Yujie Wang, Yinhe Han
P3S: A High Accuracy Probabilistic Prediction Processing System for CNN Acceleration. ACM Great Lakes Symposium on VLSI (2022)
Liang Yan, Mingzhe Zhang, Rujia Wang, Xiaoming Chen, Xingqi Zou, Xiaoyang Lu, Yinhe Han, Xian-He Sun
CoPIM: A Concurrency-aware PIM Workload Offloading Architecture for Graph Applications. ISLPED (2021)
Xingqi Zou, Sheng Xu, Xiaoming Chen, Liang Yan, Yinhe Han
Breaking the von Neumann bottleneck: architecture-level processing-in-memory technology. Sci. China Inf. Sci. 64 (6) (2021)
Ning Lin, Xiaoming Chen, Chunwei Xia, Jing Ye, Xiaowei Li
ChaoPIM: A PIM-based Protection Framework for DNN Accelerators Using Chaotic Encryption. ATS (2021)
Xiaoming Chen, Yuping Wu, Yinhe Han
FePIM: Contention-Free In-Memory Computing Based on Ferroelectric Field-Effect Transistors. ASP-DAC (2021)
Tao Song, Xiaoming Chen, Yinhe Han
(1) with RRAM-based In-Memory Accelerator. ACM Great Lakes Symposium on VLSI (2021)
Bosheng Liu, Zhuoshen Jiang, Jigang Wu, Xiaoming Chen, Yinhe Han, Peng Liu
F3D: Accelerating 3D Convolutional Neural Networks in Frequency Space Using ReRAM. DAC (2021)
Xuefei Ning, Guangjun Ge, Wenshuo Li, Zhenhua Zhu, Yin Zheng, Xiaoming Chen, Zhen Gao, Yu Wang, Huazhong Yang
FTT-NAS: Discovering Fault-tolerant Convolutional Neural Architecture. ACM Trans. Design Autom. Electr. Syst. 26 (6) (2021)
Tao Song, Xiaoming Chen, Xiaoyu Zhang, Yinhe Han
BRAHMS: Beyond Conventional RRAM-based Neural Network Accelerators Using Hybrid Analog Memory System. DAC (2021)
Ning Lin, Xiaoming Chen, Hang Lu, Xiaowei Li
Chaotic Weights: A Novel Approach to Protect Intellectual Property of Deep Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40 (7) (2021)
Xiaoming Chen, Yinhe Han, Yu Wang
Communication Lower Bound in Convolution Accelerators. HPCA (2020)
Wenshuo Li, Xuefei Ning, Guangjun Ge, Xiaoming Chen, Yu Wang, Huazhong Yang
FTT-NAS: Discovering Fault-Tolerant Neural Architecture. ASP-DAC (2020)
Hanbo Sun, Zhenhua Zhu, Yi Cai, Xiaoming Chen, Yu Wang, Huazhong Yang
An Energy-Efficient Quantized and Regularized Training Framework For Processing-In-Memory Accelerators. ASP-DAC (2020)
Sheng Xu, Xiaoming Chen, Xuehai Qian, Yinhe Han
TUPIM: A Transparent and Universal Processing-in-Memory Architecture for Unmodified Binaries. ACM Great Lakes Symposium on VLSI (2020)
Wenshuo Li, Guangjun Ge, Kaiyuan Guo, Xiaoming Chen, Qi Wei, Zhen Gao, Yu Wang, Huazhong Yang
Soft Error Mitigation for Deep Convolution Neural Network on FPGA Accelerators. AICAS (2020)
Xiaoming Chen, Kai Ni, Michael T. Niemier, Dayane Reis, Xiaoyu Sun, Panni Wang, Suman Datta, Xiaobo Sharon Hu, Xunzhao Yin, Matthew Jerry, Shimeng Yu, Ann Franchesca Laguna
The Impact of Ferroelectric FETs on Digital and Analog Circuits and Architectures. IEEE Des. Test 37 (1) (2020)
Bosheng Liu, Xiaoming Chen, Yinhe Han, Ying Wang, Jiajun Li, Haobo Xu, Xiaowei Li
Search-free Accelerator for Sparse Convolutional Neural Networks. ASP-DAC (2020)
Xuefei Ning, Guangjun Ge, Wenshuo Li, Zhenhua Zhu, Yin Zheng, Xiaoming Chen, Zhen Gao, Yu Wang, Huazhong Yang
FTT-NAS: Discovering Fault-Tolerant Neural Architecture. CoRR (2020)
Shulin Zeng, Hanbo Sun, Yu Xing, Xuefei Ning, Yi Shan, Xiaoming Chen, Yu Wang, Huazhong Yang
Black Box Search Space Profiling for Accelerator-Aware Neural Architecture Search. ASP-DAC (2020)
Bosheng Liu, Xiaoming Chen, Yinhe Han, Haobo Xu
Swallow: A Versatile Accelerator for Sparse Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (12) (2020)
Yuxin Yang, Xiaoming Chen, Yinhe Han
Dadu-CD: Fast and Efficient Processing-in-Memory Accelerator for Collision Detection. DAC (2020)
Yi Cai, Xiaoming Chen, Lu Tian, Yu Wang, Huazhong Yang
Enabling Secure NVM-Based in-Memory Neural Network Computing by Sparse Fast Gradient Encryption. IEEE Trans. Computers 69 (11) (2020)
Zhenhua Zhu, Hanbo Sun, Kaizhong Qiu, Lixue Xia, Gokul Krishnan, Guohao Dai, Dimin Niu, Xiaoming Chen, Xiaobo Sharon Hu, Yu Cao, Yuan Xie, Yu Wang, Huazhong Yang
MNSIM 2.0: A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems. ACM Great Lakes Symposium on VLSI (2020)
Yi Cai, Yujun Lin, Lixue Xia, Xiaoming Chen, Song Han, Yu Wang, Huazhong Yang
Long Live TIME: Improving Lifetime and Security for NVM-Based Training-in-Memory Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (12) (2020)
Yuxin Yang, Shiqi Lian, Xiaoming Chen, Yinhe Han
Accelerating RRT Motion Planning Using TCAM. ACM Great Lakes Symposium on VLSI (2020)
Yinhe Han, Yuxin Yang, Xiaoming Chen, Shiqi Lian
DaDu Series - Fast and Efficient Robot Accelerators. ICCAD (2020)
Xiaoming Chen, Yinhe Han, Yu Wang
Communication Lower Bound in Convolution Accelerators. CoRR (2019)
Bosheng Liu, Xiaoming Chen, Yinhe Han, Jiajun Li, Haobo Xu, Xiaowei Li
Accelerating DNN-based 3D point cloud processing for mobile computing. Sci. China Inf. Sci. 62 (11) (2019)
Sheng Xu, Xiaoming Chen, Ying Wang, Yinhe Han, Xuehai Qian, Xiaowei Li
PIMSim: A Flexible and Detailed Processing-in-Memory Simulator. IEEE Comput. Archit. Lett. 18 (1) (2019)
Yang Liu, Xiaoming Chen, Dileep Kadambi, Ajinkya Bari, Xin Li, Shiyan Hu, Pingqiang Zhou
Dependable Visual Light-Based Indoor Localization with Automatic Anomaly Detection for Location-Based Service of Mobile Cyber-Physical Systems. ACM Trans. Cyber Phys. Syst. 3 (1) (2019)
Xiaoyu Zhang, Xiaoming Chen, Yinhe Han
FeMAT: Exploring In-Memory Processing in Multifunctional FeFET-Based Memory Array. ICCD (2019)
Yi Cai, Xiaoming Chen, Lu Tian, Yu Wang, Huazhong Yang
Enabling Secure in-Memory Neural Network Computing by Sparse Fast Gradient Encryption. ICCAD (2019)
Xunzhao Yin, Xiaoming Chen, Michael T. Niemier, Xiaobo Sharon Hu
Ferroelectric FETs-Based Nonvolatile Logic-in-Memory Circuits. IEEE Trans. Very Large Scale Integr. Syst. 27 (1) (2019)
Sheng Xu, Xiaoming Chen, Ying Wang, Yinhe Han, Xiaowei Li
CuckooPIM: an efficient and less-blocking coherence mechanism for processing-in-memory systems. ASP-DAC (2019)
Shichang Zhang, Ying Wang, Xiaoming Chen, Yinhe Han, Yujie Wang, Xiaowei Li
Thread: Towards fine-grained precision reconfiguration in variable-precision neural network accelerator. IEICE Electron. Express 16 (14) (2019)
Xiaoming Chen, Danny Ziyi Chen, Yinhe Han, Xiaobo Sharon Hu
moDNN: Memory Optimal Deep Neural Network Training on Graphics Processing Units. IEEE Trans. Parallel Distributed Syst. 30 (3) (2019)
Xiaoming Chen, Longxiang Yin, Bosheng Liu, Yinhe Han
Merging Everything (ME): A Unified FPGA Architecture Based on Logic-in-Memory Techniques. DAC (2019)
Bosheng Liu, Xiaoming Chen, Ying Wang, Yinhe Han, Jiajun Li, Haobo Xu, Xiaowei Li
Addressing the issue of processing element under-utilization in general-purpose systolic deep learning accelerators. ASP-DAC (2019)
Zhenhua Zhu, Mingyuan Ma, Jialong Liu, Liying Xu, Xiaoming Chen, Yuchao Yang, Yu Wang, Huazhong Yang
A General Logic Synthesis Framework for Memristor-based Logic Design. ICCAD (2019)
Xiaoming Chen, Kai Ni, Michael T. Niemier, Yinhe Han, Suman Datta, Xiaobo Sharon Hu
Power and Area Efficient FPGA Building Blocks Based on Ferroelectric FETs. IEEE Trans. Circuits Syst. I Regul. Pap. (5) (2019)
Shiqi Lian, Yinhe Han, Xiaoming Chen, Ying Wang, Hang Xiao
Dadu-P: a scalable accelerator for robot motion planning in a dynamic environment. DAC (2018)
Xiaoming Chen, Xunzhao Yin, Michael T. Niemier, Xiaobo Sharon Hu
Design and optimization of FeFET-based crossbars for binary convolution neural networks. DATE (2018)
Xiaoming Chen, Michael T. Niemier, Xiaobo Sharon Hu
Nonvolatile Lookup Table Design Based on Ferroelectric Field-Effect Transistors. ISCAS (2018)
Zhenhua Zhu, Jilan Lin, Ming Cheng, Lixue Xia, Hanbo Sun, Xiaoming Chen, Yu Wang, Huazhong Yang
Mixed size crossbar based RRAM CNN accelerator with overlapped mapping method. ICCAD (2018)
Xiaoming Chen, Qiaoyi Liu, Song Yao, Jia Wang, Qiang Xu, Yu Wang, Yongpan Liu, Huazhong Yang
Hardware Trojan Detection in Third-Party Digital Intellectual Property Cores by Multilevel Feature Analysis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37 (7) (2018)
Jilan Lin, Lixue Xia, Zhenhua Zhu, Hanbo Sun, Yi Cai, Hui Gao, Ming Cheng, Xiaoming Chen, Yu Wang, Huazhong Yang
Rescuing memristor-based computing with non-linear resistance levels. DATE (2018)
Ahmedullah Aziz, Evelyn T. Breyer, An Chen, Xiaoming Chen, Suman Datta, Sumeet Kumar Gupta, Michael Hoffmann, Xiaobo Sharon Hu, Adrian M. Ionescu, Matthew Jerry, Thomas Mikolajick, Halid Mulaosmanovic, Kai Ni, Michael T. Niemier, Ian O'Connor, Atanu Saha, Stefan Slesazeck, Sandeep Krishna Thirumala, Xunzhao Yin
Computing with ferroelectric FETs: Devices, models, systems, and applications. DATE (2018)
Tianshu Wei, Xiaoming Chen, Xin Li, Qi Zhu
Model-based and data-driven approaches for building automation and control. ICCAD (2018)
Xiaoming Chen, Danny Z. Chen, Xiaobo Sharon Hu
moDNN: Memory optimal DNN training on GPUs. DATE (2018)
Yi Cai, Yujun Lin, Lixue Xia, Xiaoming Chen, Song Han, Yu Wang, Huazhong Yang
Long live TIME: improving lifetime for training-in-memory engines by structured gradient sparsification. DAC (2018)
Xiaoming Chen, Lin Wang, Yu Wang, Yongpan Liu, Huazhong Yang
A General Framework for Hardware Trojan Detection in Digital Circuits by Statistical Learning Algorithms. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 36 (10) (2017)
Yuzhi Wang, Anqi Yang, Xiaoming Chen, Pengjun Wang, Yu Wang, Huazhong Yang
A Deep Learning Approach for Blind Drift Calibration of Sensor Networks. CoRR (2017)
Xiaoming Chen, Qiaoyi Liu, Yu Wang, Qiang Xu, Huazhong Yang
Low-overhead implementation of logic encryption using gate replacement techniques. ISQED (2017)
Xiaoming Chen, Jianxu Chen, Danny Z. Chen, Xiaobo Sharon Hu
Optimizing Memory Efficiency for Convolution Kernels on Kepler GPUs. DAC (2017)
Xiaoming Chen, Jianxu Chen, Danny Z. Chen, Xiaobo Sharon Hu
Optimizing Memory Efficiency for Convolution Kernels on Kepler GPUs. CoRR (2017)
Xiaoming Chen, Lixue Xia, Yu Wang, Huazhong Yang
Sparsity-oriented sparse solver design for circuit simulation. DATE (2016)
Xiaoming Chen, Boxun Li, Yu Wang, Yongpan Liu, Huazhong Yang
A Unified Methodology for Designing Hardware Random Number Generators Based on Any Probability Distribution. IEEE Trans. Circuits Syst. II Express Briefs (8) (2016)
Xiaoming Chen, Xin Li, Sheldon X.-D. Tan
Overview of cyber-physical temperature estimation in smart buildings: From modeling to measurements. INFOCOM Workshops (2016)
Xiaoming Chen, Lin Wang, Boxun Li, Yu Wang, Xin Li, Yongpan Liu, Huazhong Yang
Modeling Random Telegraph Noise as a Randomness Source and its Application in True Random Number Generation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35 (9) (2016)
Xiaoming Chen, Xin Li
Virtual temperature measurement for smart buildings via Bayesian model fusion. ISCAS (2016)
Xiaoming Chen, Yu Wang, Huazhong Yang
A fast parallel sparse solver for SPICE-based circuit simulators. DATE (2015)
Xiaoming Chen, Xin Li, Sheldon X.-D. Tan
From Robust Chip to Smart Building: CAD Algorithms and Methodologies for Uncertainty Analysis of Building Performance. ICCAD (2015)
Yu Wang, Song Yao, Shuai Tao, Xiaoming Chen, Yuchun Ma, Yiyu Shi, Huazhong Yang
HS3-DPG: Hierarchical Simulation for 3-D P/G Network. IEEE Trans. Very Large Scale Integr. Syst. 23 (10) (2015)
Song Yao, Xiaoming Chen, Jie Zhang, Qiaoyi Liu, Jia Wang, Qiang Xu, Yu Wang, Huazhong Yang
FASTrust: Feature analysis for third-party IP trust verification. ITC (2015)
Gushu Li, Xiaoming Chen, Guangyu Sun, Henry Hoffmann, Yongpan Liu, Yu Wang, Huazhong Yang
A STT-RAM-based low-power hybrid register file for GPGPUs. DAC (2015)
Xiaoming Chen, Ling Ren, Yu Wang, Huazhong Yang
GPU-Accelerated Sparse LU Factorization for Circuit Simulation with Performance Modeling. IEEE Trans. Parallel Distributed Syst. 26 (3) (2015)
Song Yao, Xiaoming Chen, Yu Wang, Yuchun Ma, Yuan Xie, Huazhong Yang
Efficient region-aware P/G TSV planning for 3D ICs. ISQED (2014)
Xiaoming Chen, Yu Wang, Yu Cao, Huazhong Yang
Statistical analysis of random telegraph noise in digital circuits. ASP-DAC (2014)
Xiaoming Chen, Yu Wang, Yun Liang, Yuan Xie, Huazhong Yang
Run-Time Technique for Simultaneous Aging and Power Optimization in GPGPUs. DAC (2014)
Shuai Tao, Xiaoming Chen, Yu Wang, Yuchun Ma, Yiyu Shi, Hui Wang, Huazhong Yang
HS3DPG: Hierarchical simulation for 3D P/G network. ASP-DAC (2013)
Xiaoming Chen, Du Su, Yu Wang, Huazhong Yang
Nonzero pattern analysis and memory access optimization in GPU-based sparse LU factorization for circuit simulation. IA3@SC (2013)
Xiaoming Chen, Yu Wang, Huazhong Yang, Yuan Xie, Yu Cao
Assessment of Circuit Optimization Techniques Under NBTI. IEEE Des. Test 30 (6) (2013)
Xiaoming Chen, Hong Luo, Yu Wang, Yu Cao, Yuan Xie, Yuchun Ma, Huazhong Yang
Evaluation and mitigation of performance degradation under random telegraph noise for digital circuits. IET Circuits Devices Syst. 7 (5) (2013)
Xiaoming Chen, Yu Wang, Huazhong Yang
NICSLU: An Adaptive Sparse Matrix Solver for Parallel Circuit Simulation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 32 (2) (2013)

Xiaoming Chen

Publication Activity (10 Years)

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