Total citation ~3,000 according to Google Scholar

Representative Publications (submitted and published):
  1. Massoud Pedram and Yanzhi Wang, “Design automation methodology and tools for superconductive electronics,” in Proc. of International Conference on Computer-Aided Design (ICCAD), 2018. (Invited Paper)
  2. Siyue Wang, Xiao Wang, Pu Zhao, David Kaeli, S. Chin, Yanzhi Wang, and Xue Lin, “Defensive dropout for hardening deep neural networks under adversarial attacks, ” in Proc. of Int’l Conference on Computer Aided Design (ICCAD), Nov. 2018. (Acceptance Rate: 25%)
  3. Zhengxiong Li, Aditya Singh Rathore, Chen Song, Wenyao Xu, Sheng Wei, and Yanzhi Wang,“PrinTracker: Fingerprinting 3D Printers using Commodity Scanners”, in Proc. of ACM Computer and Communications Security (CCS), 2018.
  4. Youwei Zhuo, Jinglei Cheng, Qinyi Luo, Jidong Zhai, Yanzhi Wang, Zhongzhi Luan, and Xuehai Qian, “CSE: Convergence Set based Enumerative FSM”, in Proc. of ACM Symposium on Microarchitecture (MICRO), 2018.
  5. Zhe Li, Ji Li, Ao Ren, Ruizhe Cai, Caiwen Ding, Xuehai Qian, Jeffrey Draper, Bo Yuan, Jian Tang, Qinru Qiu, Yanzhi Wang,“HEIF: Highly Efficient Stochastic Computing based Inference Framework for Deep Neural Networks”, in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 2018.
  6. Tianyun Zhang, Shaokai Ye, Kaiqi Zhang, Jian Tang, Wujie Wen, Makan Fardad, Yanzhi Wang, “A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers”, in Proc. of European Conference on Computer Vision (ECCV), 2018. (Acceptance Rate 27%)
  7. Pu Zhao, Sijia Liu, Yanzhi Wang, Xue Lin, “An ADMM-Based Universal Framework for Adversarial Attacks on Deep Neural Networks”, in Prof. of ACM Multimedia (MM), 2018. (Acceptance Rate 27%)
  8. Sijia Liu, Yanzhi Wang, Makan Fardad, Pramod K. Varshney, “A Memristor-Based Optimization Framework for AI Applications“, in IEEE Circuits and Systems Magazine, 2018. (Popular Paper)
  9. Zhe Li, Shuo Wang, Caiwen Ding, Qinru Qiu, Yanzhi Wang, Yun Liang , “Efficient Recurrent Neural Networks using Structured Matrices in FPGAs”, inProc. of International Conference on Learning Representations (ICLR) (Short Paper), 2018.
  10. Tianyun Zhang, Shaokai Ye, Yipeng Zhang, Yanzhi Wang, Makan Fardad, “Systematic Weight Pruning of DNNs using Alternating Direction Method of Multipliers”, in Proc. of International Conference on Learning Representations(ICLR) (Short Paper), 2018.
  11. Ziyi Zhao, Krit. Pugdeethosapol, Sheng Lin, Zhe Li, Caiwen Ding, Yanzhi Wang, and Qinru Qiu, “Learning Topics using Semantic Locality”, in International Conference on Pattern Recognition (ICPR), 2018.
  12. Xiaolong Ma, Yipeng Zhang, Geng Yuan, Ao Ren, Zhe Li, Jie Han, Jintong Hu, and Yanzhi Wang, “An Area and Energy Efficient Design of Domain-Wall Memory-Based Deep Convolutional Neural Networks using Stochastic Computing”, in International Symposium on Quality Electronic Design (ISQED), 2018. (Best paper nomination)
  13. Yidong Liu, Siting Liu, Yanzhi Wang, Fabrizio Lombardi, and Jie Han, “A Stochastic Computational Multi-Layer Perceptron with Backward Propagation”, in IEEE Transactions on Computers, 2018.
  14. Zihao Liu, Jie Xu, Lei Jiang, Yanzhi Wang, Gang Quan, and Wujie Wen, “DeepN JPEG A Deep Neural Network Favorable JPEG-based Image Compression Framework”, in Design Automation Conference, 2018.
  15. Teng Li, Zhiyuan Xu, Jian Tang, and Yanzhi Wang, “Model-free control for distributed stream data processing using deep reinforcement learning”, to appear in International Conference on Very Large Data Bases (VLDB), 2018. (Acceptance Rate: 21%)
  16. Ruizhe Cai, Ao Ren, Ning Liu, Xuehai Qian, Massoud Pedram, and Yanzhi Wang, “VIBNN Hardware acceleration of Bayesian neural networks,” in ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2018. (Acceptance Rate: 17.4%)
  17. Yanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, et al., “Towards ultra-high performance and energy efficiency of deep learning systems an algorithm-hardware co-optimization framework,” in the Thirty Second AAAI Conference on Artificial Intelligence (AAAI), 2018. (Acceptance Rate: 25%)
  18. Qi Liu, Tao Liu, Zihao Liu, Yanzhi Wang, Yier Jin, and Wujie Wen, “Security analysis and enhancement of model compressed deep learning systems under adversarial attacks”, to appear in Proc. of Asia and South Pacific Design Automation Conference (ASP-DAC), 2018. (Best paper nomination) (Acceptance Rate: 28%)
  19. Shuo Wang, Zhe Li, Caiwen Ding, Bo Yuan, Qinru Qiu, Yanzhi Wang, and Yun (Eric) Liang, “C-LSTM: Enabling efficient LSTM using structured compression techniques on FPGAs,” in of ACM International Symposium on Field Programmable Gate Arrays (FPGA), 2018. (Acceptance Rate: 25%)
  20. Zhiyuan Xu, Jingsong Meng, Weiyi Zhang, Dejun Yang, Jian Tang, and Yanzhi Wang, “Experience-driven networking a deep reinforcement learning based approach,” in IEEE International Conference on Computer Communications (INFOCOM), 2018. (Acceptance Rate: 17%)
  21. Mengshu Sun, Yuankun Xue, Paul Bogdan, Jian Tang, Yanzhi Wang, and Xue Lin, “Hierarchical and hybrid energy storage devices in data centers architecture, control and provisioning”, in PLOS ONE Journal, 2018. (Impact Factor 3.23)
  22. Sheng Lin, Ning Liu, Hongjia Li, Mahdi Nazemi, Massoud Pedram, and Yanzhi Wang, “FFT-based deep learning deployment in embedded systems” in of Design Automation and Test on Europe (DATE), 2018. (Regular Paper Acceptance Rate: 23%)
  23. Liang Zhao, Siyu Liao, Yanzhi Wang, Jian Tang, and Bo Yuan, “Theoretical properties for neural networks with weight matrices of low displacement rank,” in of International Conference on Machine Learning (ICML), 2017. (Oral Presentation, Acceptance Rate: 22%)
  24. Yanzhi Wang, Caiwen Ding, Siyu Liao, Zhe Li, Yu Bai, et al., “A Universal, Cross-Platform Inference Framework of Large-Scale Deep Learning Systems with Very High Performance and Energy Efficiency”, in IEEE/ACM International Symposium on Microarchitecture (MICRO), 2017. (Acceptance Rate: 18.6%)
  25. Ao Ren, Ji Li, Zhe Li, Caiwen Ding, Xuehai Qian, Qinru Qiu, Bo Yuan, and Yanzhi Wang, “SC-DCNN Highly-scalable deep convolutional neural network using stochastic computing,” in ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2017. (Acceptance Rate: 17.4%)
  26. Ning Liu, Zhe Li, Zhiyuan Xu, Jielong Xu, Sheng Lin, Qinru Qiu, Jian Tang, and Yanzhi Wang, “Hierarchical framework of cloud resource allocation and power management of reinforcement learning,” IEEE International Conference on Distributed Computing (ICDCS), 2017. (Acceptance Rate: 16.9%)
  27. Jing Wang, Jian Tang, Zhiyuan Xu, and Yanzhi Wang, “Spatiotemporal modeling and prediction in cellular networks a big data enabled deep learning approach,” IEEE International Conference on Computer Communications(INFOCOM), 2017. (Acceptance Rate: 17%)
  28. Chen Pan, Mimi Xie, Yongpan Liu, Yanzhi Wang, et al., “A lightweight progress maximization scheduler for non-volatile processor under unstable energy harvesting” in of ACM SIGPLAN/SIGBED Conference on Languages, Compilers, Tools, and Theory for Embedded Systems (LCTES), 2017. (Acceptance Rate: 23%)
  29. Sijia Liu, Ao Ren, Yanzhi Wang, and Pramod K.Varshney, “Ultra-fast robust compressive sensing based on memristor crossbars,” in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2017. (Best paper award, Best Student Presentation Award) (Rank top 3 in more than 2,000 submissions)
  30. Donkyu Baek, Caiwen Ding, Sheng Lin, Jaemin Kim, Xue Lin, Yanzhi Wang, and Naehyuck Chang, “Reconfigurable thermoelectric generators for vehicle radiators energy harvesting,” IEEE International Symposium on Low Power Electronics and Design (ISLPED), 2017.  (Best paper in track) (Full Paper Acceptance Rate: 24%)
  31. Siyu Liao, Zhe Li, Xue Lin, Qinru Qiu, Yanzhi Wang, and Bo Yuan, “Energy-efficient high-performance highly-compressed deep neural network design using block-circulant matrices,” in Proc. of International Conference on Computer Aided Design (ICCAD), 2017. (Acceptance Rate: 24%)
  32. Ahmed Shrestha, Khadeer Ahmed, Yanzhi Wang, and Qinru Qiu, “A spike-based long short-term memory on a neurosynaptic processor,” in Proc. of International Conference on Computer Aided Design (ICCAD), 2017. (Acceptance Rate: 24%)
  33. Hongjia Li, Tianshu Wei, Ruizhe Cai, Qi Zhu, and Yanzhi Wang, “Deep reinforcement learning: applications and embedded implementations,” in Proc. of International Conference on Computer Aided Design (ICCAD), 2017. (Invited Paper, Acceptance Rate of Conference: 24%)
  34. Tianshu Wei, Yanzhi Wang, and Qi Zhu, “Deep reinforcement learning for HVAC control in smart buildings,” in ACM/IEEE Design Automation Conference(DAC), 2017. (Acceptance Rate: 22%)
  35. Yanzhi Wang and Massoud Pedram, “Model-free reinforcement learning and Bayesian classification in system-level power management,” IEEE Trans. on Computers, 2016.
  36. Tiansong Cui, Shuang Chen, Yanzhi Wang, Qi Zhu, Shahin Nazarian, and Massoud Pedram. “Optimal Co-Scheduling of HVAC Control and Battery Management for Energy-Efficient Buildings Considering State-of-Health Degradation,” in Proc. of Asia and South Pacific Design Automation Conf., Jan. 2016. (Best Paper Nomination) (Acceptance Rate: 33%)
  37. Xue Lin, Yanzhi Wang, Paul Bogdan, Naehyuck Chang, and Massoud Pedram, “Reinforcement learning based power management for hybrid electric vehicles,” in Proc. of International Conference on Computer Aided Design(ICCAD), 2014. (Acceptance Rate: 24%)
  38. Alireza Shafaei, Yanzhi Wang, Xue Lin, and Massoud Pedram, “FinCACTI Architectural analysis and modeling of caches with deeply-scaled FinFET devices,” in Proc. of IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2014. (Best paper award) (Full Paper Acceptance Rate: 28%)
  39. Jaemin Kim, Yanzhi Wang, Massoud Pedram, and Naehyuck Chang, “Fast photovoltaic array reconfiguration for partial solar powered vehicles,” in Proc. of IEEE/ACM International Symposium on Low Power Electronics and Design(ISLPED), 2014. (Best paper award) (Full Paper Acceptance Rate: 24%)
  40. Xue Lin, Yanzhi Wang, Qing Xie, and Massoud Pedram, “Energy and Performance-Aware Task Scheduling in a Mobile Cloud Computing Environment,” in Proc. of IEEE Cloud Computing Conference (IEEE Cloud), 2014. (Top Paper Award) (Research Track Acceptance Rate: 18%)
  41. Yanzhi Wang, Xue Lin, Younghyun Kim, Naehyuck Chang, and Massoud Pedram, “Architecture and control algorithms for combating partial shading in photovoltaic systems,” IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems, 2014. (TCAD popular paper)
  42. Woojoo Lee, Yanzhi Wang, Donghwa Shin, Naehyuck Chang, and Massoud Pedram, “Optimizing the Power Delivery Network in a Smartphone Platform,” IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems, 2014. (TCAD popular paper)
  43. Qing Xie, Yanzhi Wang, and Massoud Pedram, “Variability-aware design of energy-delay optimal linear pipelines operating in the near-threshold regime and above,” in Proc. of ACM Great Lakes Symposium on VLSI (GLSVLSI), 2013. (Best paper nomination) (Oral Presentation Paper Acceptance Rate: 24%)
  44. Sangyoung Park, Jaehyun Park, Donghwa Shin, Yanzhi Wang, Qing Xie, Naehyuck Chang, and Massoud Pedram, “Accurate modeling of the delay and energy overhead of dynamic voltage and frequency scaling in modern microprocessors,” in IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems, 2013. (Best paper nomination)
  45. Yanzhi Wang, Qing Xie, Ahmed Ammari, and Massoud Pedram, “Deriving a near-optimal power management policy using model-free reinforcement learning and Bayesian classification,” Proc. of Design Automation Conference(DAC), Jun. 2011. (Acceptance Rate: 22%)
Selected Prior Journal Publications:
  1. Xue Lin, Yanzhi Wang, Massoud Pedram, and Naehyuck Chang, “Concurrent task scheduling and dynamic voltage and frequency scaling in a real-time embedded system with energy harvesting,” IEEE Trans. on Computer-Aided Design, 2016.
  2. Yanzhi Wang, Xue Lin, and Massoud Pedram. “A Near-Optimal Model-Based Control Algorithm for Households Equipped with Residential Photovoltaic Power Generation and Energy Storage Systems,” IEEE Trans. on Sustainable Energy, 2016. (Impact Factor: 3.73)
  3. Yanzhi Wang, Xue Lin, and Massoud Pedram, “A Stackelberg game-based optimization framework of the smart grid with distributed PV power generations and data centers,” in IEEE Trans on Energy Conversion, 2015. (Impact Factor: 2.60)
  4. Yanzhi Wang, Xue Lin, and Massoud Pedram, “A model-based control algorithm for households equipped with residential photovoltaic power generation and energy storage systems,” in IEEE Trans. on Sustainable Energy, 2015. (Impact Factor: 3.73)
  5. Xue Lin, Yanzhi Wang, Qing Xie, and Massoud Pedram, “An energy and performance-aware task scheduling framework in the mobile cloud computing environment,” in IEEE Transactions on Service Computing, 2015. (Invited Paper)
  6. Yanzhi Wang, Xue Lin, and Massoud Pedram, “Adaptive control for energy storage systems in households with photovoltaic modules”, IEEE Transactions on Smart Grid, 2014. (Impact Factor: 3.19)
  7. Xue Lin, Yanzhi Wang, Massoud Pedram, Jaemin Kim, and Naehyuck Chang, “Designing fault-tolerant photovoltaic systems,” IEEE Design & Test of Computers, 2014.
  8. Younghyun Kim, Jason Koh, Qing Xie, Yanzhi Wang, Naehyuck Chang, and Massoud Pedram, “A scalable and flexible hybrid energy storage system design and implementation,” Journal of Power Sources, 2014. (Impact Factor: 6.23)
  9. Yanzhi Wang, Xue Lin, Qing Xie, Younghyun Kim, Naehyuck Chang, and Massoud Pedram, “Single-source, single-destination charge migration in hybrid electrical energy storage systems,” IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2014.
  10. Younghyun Kim, Yanzhi Wang, Massoud Pedram, and Naehyuck Chang, “Computer-aided design and optimization of hybrid energy storage systems,” Foundations and Trends in Electronic Design Automation, 2013.
  11. Donghwa Shin, Younghyun Kim, Yanzhi Wang, Naehyuck Chang, and Massoud Pedram, “Constant-current regulator-based battery-supercapacitor hybrid architecture for high-rate pulsed load applications,” Journal of Power Sources, 2011. (Impact Factor: 6.23)
Selected Prior Conference Publications:
  1. Yanzhi Wang, Xue Lin, Naehyuck Chang, and Massoud Pedram, “Joint automatic control of power train and auxiliary systems in an intelligent HEV for enhancing electromobility,” in Proc. of Design Automation Conference (DAC), 2015. (Acceptance Rate: 22%)
  2. Shuang Chen, Yanzhi Wang, and Massoud Pedram, “Optimal offloading control for a mobile device based on a realistic battery model and semi-Markov decision process,” in Proc. of International Conference on Computer Aided Design (ICCAD), Nov. 2014. (Acceptance Rate: 24%)
  3. Shuang Chen, Mahboobeh Ghorbani, Yanzhi Wang, Paul Bogdan, and Massoud Pedram, “Trace-based analysis and prediction of cloud computing user behavior using the fractal modeling technique,” in Proc. of IEEE Conference on Big Data, 2014. (Research Track Acceptance Rate: 18%)
  4. Xue Lin, Yanzhi Wang, and Massoud Pedram, “Joint sizing and adaptive independent gate control for FinFET circuits operating in multiple voltage regimes using logical effort method,” in Proc. of International Conference on Computer-Aided Design (ICCAD), Nov. 2013. (Acceptance Rate: 24%)
  5. Qing Xie, Jaemin Kim, Yanzhi Wang, Donghwa Shin, Naehyuck Chang, and Massoud Pedram, “Dynamic thermal management in mobile devices considering the thermal coupling between battery and application processor,” in Proc. of International Conference on Computer-Aided Design (ICCAD), Nov. 2013. (Acceptance Rate: 24%)
  6. Xue Lin, Yanzhi Wang, Siyu Yue, Naehyuck Chang, and Massoud Pedram, “A framework of concurrent task scheduling and dynamic voltage and frequency scaling in real-time embedded systems with energy harvesting,” in Proc. of the International Symposium on Low Power Electronics and Design(ISLPED), 2013. (Full Paper Acceptance Rate: 24%)
  7. Xue Lin, Yanzhi Wang, Di Zhu, Naehyuck Chang, and Massoud Pedram, “Online fault detection and tolerance in photovoltaic energy harvesting systems,” in Proc. of International Conference on Computer-Aided Design(ICCAD), Nov. 2012. (Acceptance Rate: 24%)
  8. Yanzhi Wang, Xue Lin, Naehyuck Chang, and Massoud Pedram, “Dynamic reconfiguration of photovoltaic energy harvesting system in hybrid electric vehicles,” in Proc. of the International Symposium on Low Power Electronics and Design (ISLPED), 2012. (Full Paper Acceptance Rate: 24%)
  9. Woojoo Lee, Yanzhi Wang, Donghwa Shin, Naehyuck Chang, and Massoud Pedram, “Power conversion efficiency characterization and optimization for smartphones,” in Proc. of the International Symposium on Low Power Electronics and Design (ISLPED), Aug. 2012. (Full Paper Acceptance Rate: 24%)
  10. Xue Lin, Yanzhi Wang, Siyu Yue, Donghwa Shin, Naehyuck Chang, and Massoud Pedram, “Near-optimal, dynamic module reconfiguration in a photovoltaic system to combat partial shading effects,” in Proc. of Design Automation Conference (DAC), June 2012. (Acceptance Rate: 22%)
  11. Yanzhi Wang, Younghyun Kim, Qing Xie, Naehyuck Chang, and Massoud Pedram, “Charge migration efficiency optimization in hybrid electrical energy storage (HEES) systems,” in Proc. of the International Symposium on Low Power Electronics and Design (ISLPED), Aug. 2011. (Full Paper Acceptance Rate: 24%)