Publication

• B. Cheng, J. Liu, M. Chang, Ningyuan Cao “Privacy-by-Sensing: Mixed-signal Circuit for Deferentially-Private Compressed-Sensing,” International Conference on Computer-Aided-Design (ICCAD). (in review)
• Ningyuan Cao, B. Chatterjee, J. Liu, B. Cheng, M. Gong, M. Chang, S. Sen, A. Raychowdhury “A 65 nm Wireless Image SoC Supporting On-Chip DNN Optimization and RealTime Computation-Communication Trade-Off via Actor-Critical Neuro-Controller,” IEEE Journal of Solid-State Circuits, doi:10.1109/JSSC.2022.3159473.
• S. Fan, S. Zhang, J. Liu Ningyuan Cao, J. Li, X. Guo and X. Zhang. “Power Converter Circuit Design Automation using Parallel Monte Carlo Tree Search,” in IEEE Transactions on Design Automation of Electronic Systems, 2022.
• R. Saligram, W. Chakraborty Ningyuan Cao, Y. Cao, S. Data and A. Raychwodhury “Power Performance Analysis of Digital Standard Cells for 28 nm Bulk CMOS at Cryogenic Temperature Using BSIM Models,” in IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, volume 7, number 2, pp. 193–200, IEEE, 2021.
• S. Fan, Ningyuan Cao, X. Guo, S. Zhang, J. Li, and X. Zhang. “From specification to topology: Automatic power converter design via reinforcement learning,” in International Conference On Computer Aided Design (ICCAD), pp. 1–9, IEEE/ACM, 2021
• Ningyuan Cao, Minxiang Gong, Muya Chang, Baibhab Chatterjee, Shreyas Sen and Arijit Raychowdhury. ”A 65nm Reconfigurable Image Processing Node Supporting Multiple Neural Networks, a Digitally-Adaptive Transceiver and a Mixed-Signal Actor-Critic Neuro-controller for Real-Time Computation-Communication Trade-off,” Symposia on VLSI Technology and Circuits (VLSI), 2020
• F. Karimzadeh, N. Cao, B. Crafton, J. Romberg, and A. Raychowdhury, “A Hardware-Friendly Approach Towards Sparse Neural Networks Based on LFSR-Generated Pseudo-Random Sequences,” IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 68, no. 2, pp. 751–764, Feb. 2021, doi: 10.1109/TCSI.2020.3037028.
• F. Karimzadeh, N. Cao, B. Crafton, J. Romberg, and A. Raychowdhury, “A Hardware-Friendly Approach Towards Sparse Neural Networks Based on LFSR-Generated Pseudo-Random Sequences,” IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 68, no. 2, pp. 751–764, Feb. 2021, doi: 10.1109/TCSI.2020.3037028.
• M. Gong, N. Cao, M. Chang, and A. Raychowdhury,“A 65nm Thermometer-Encoded Time/Charge-Based Compute-in-Memory Neural Network Accelerator at 0.735pJ/MAC and 0.41pJ/Update,” IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 68, no. 4, pp. 1408–1412, Apr. 2021, doi: 10.1109/TCSII.2020.3027801.
• F. Karimzadeh, N. Cao, B. Crafton, J. Romberg, and A. Raychowdhury, “Hardware-Aware Pruning of DNNs using LFSR-Generated Pseudo-Random Indices,” in 2020 IEEE International Symposium on Circuits and Systems (ISCAS), Oct. 2020, pp. 1–5. doi: 10.1109/ISCAS45731.2020.9181101.
• N. Cao, “Circuit and algorithm design to enable edge intelligence,” Jul. 2020, Accessed: Jul. 05, 2021. [Online]. Available: https://smartech.gatech.edu/handle/1853/63653
• I. Yoon, N. Cao, A. Amaravati, and A. Raychowdhury, “A 55nm 50nJ/encode 13nJ/decode Homomorphic Encryption Crypto-Engine for IoT Nodes to Enable Secure Computation on Encrypted Data,” in 2019 IEEE Custom Integrated Circuits Conference (CICC), Apr. 2019, pp. 1–4. doi: 10.1109/CICC.2019.8780277.
• B. Chatterjee, S. Sen, N. Cao, and A. Raychowdhury, “Context-Aware Intelligence in Resource-Constrained IoT Nodes: Opportunities and Challenges,” IEEE Design & Test, vol. 36, no. 2, pp. 7–40, 2019.
• N. Cao, M. Chang, and A. Raychowdhury, “14.1 A 65nm 1.1-to-9.1 TOPS/W Hybrid-Digital-Mixed-Signal Computing Platform for Accelerating Model-Based and Model-Free Swarm Robotics,” 2019, pp. 222–224.
• N. Cao, M. Chang, and A. Raychowdhury, “A 65-nm 8-to-3-b 1.0-0.36-V 9.1-1.1-TOPS/W Hybrid-Digital-Mixed-Signal Computing Platform for Accelerating Swarm Robotics,” IEEE Journal of Solid-State Circuits, pp. 1–11, 2019, doi: 10.1109/JSSC.2019.2935533.
• N. Cao, J. Ting, S. Sen, and A. Raychowdhury, “Smart sensing for hvac control: Collaborative intelligence in optical and ir cameras,” IEEE Transactions on Industrial Electronics, vol. 65, no. 12, pp. 9785–9794, 2018.
• N. Cao, S. Sen, and A. Raychowdhury, “Collaborative intelligence in optical/IR camera based wireless sensor nodes for HVAC control,” 2017, pp. 1–3.
• N. Cao, S. B. Nasir, S. Sen, and A. Raychowdhury, “Self-optimizing IoT wireless video sensor node with in-situ data analytics and context-driven energy-aware real-time adaptation,” IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 64, no. 9, pp. 2470–2480, 2017.
• N. Cao, S. B. Nasir, S. Sen, and A. Raychowdhury, “In-sensor analytics and energy-aware self-optimization in a wireless sensor node,” 2017, pp. 200–203.
• A. Anvesha, S. Xu, N. Cao, J. Romberg, and A. Raychowdhury, “A light-powered smart camera with compressed domain gesture detection,” IEEE Transactions on Circuits and Systems for Video Technology, pp. 1–1, 2017.
• A. Anvesha, S. Xu, N. Cao, J. Romberg, and A. Raychowdhury, “A light-powered, always-on, smart camera with compressed domain gesture detection,” 2016, pp. 118–123.