COCOA: Content-Oriented Configurable Architecture Based on Highly-Adaptive Data Transmission Networks. - Tian Xia 008; Pengchen Zong; Haoran Zhao; Jianming Tong; Wenzhe Zhao; Nanning Zheng 001; Pengju Ren (ACM Great Lakes Symposium on VLSI, 2020)

ac2SLAM: FPGA Accelerated High-Accuracy SLAM with Heapsort and Parallel Keypoint Extractor. - Cheng Wang 045; Yingkun Liu; Kedai Zuo; Jianming Tong; Yan Ding; Pengju Ren (FPT, 2021)

SMMR-Explore: SubMap-based Multi-Robot Exploration System with Multi-robot Multi-target Potential Field Exploration Method. - Jincheng Yu; Jianming Tong; Yuanfan Xu; Zhilin Xu; Haolin Dong; Tianxiang Yang; Yu Wang 002 (ICRA, 2021)

PIT: Processing-In-Transmission With Fine-Grained Data Manipulation Networks. - Pengchen Zong; Tian Xia 008; Haoran Zhao; Jianming Tong; Zehua Li; Wenzhe Zhao; Nanning Zheng 001; Pengju Ren (IEEE Trans. Computers, 2021)

SNATCH: Stealing Neural Network Architecture from ML Accelerator in Intelligent Sensors. - Sudarshan Sharma; Uday Kamal; Jianming Tong; Tushar Krishna; Saibal Mukhopadhyay (SENSORS, 2023)

Subgraph Stationary Hardware-Software Inference Co-Design. - Payman Behnam; Alexey Tumanov; Tushar Krishna; Pranav Gadikar; Yangyu Chen; Jianming Tong; Yue Pan; Abhimanyu Rajeshkumar Bambhaniya; Alind Khare (MLSys, 2023)

Hardware-Software Co-Design for Real-Time Latency-Accuracy Navigation in Tiny Machine Learning Applications. - Payman Behnam; Jianming Tong; Alind Khare; Yangyu Chen; Yue Pan; Pranav Gadikar; Abhimanyu Bambhaniya; Tushar Krishna; Alexey Tumanov (IEEE Micro, 2023)

On Continuing DNN Accelerator Architecture Scaling Using Tightly Coupled Compute-on-Memory 3-D ICs. - Gauthaman Murali; Aditya Iyer 001; Lingjun Zhu; Jianming Tong; Francisco Muñoz-Martínez; Srivatsa Rangachar Srinivasa; Tanay Karnik; Tushar Krishna; Sung Kyu Lim (IEEE Trans. Very Large Scale Integr. Syst., 2023)

FEATHER: A Reconfigurable Accelerator with Data Reordering Support for Low-Cost On-Chip Dataflow Switching. - Jianming Tong; Anirudh Itagi; Prasanth Chatarasi; Tushar Krishna (ISCA, 2024)

Accurate Low-Degree Polynomial Approximation of Non-Polynomial Operators for Fast Private Inference in Homomorphic Encryption. - Jingtian Dang; Jianming Tong; Anupam Golder; Cong Hao; Arijit Raychowdhury; Tushar Krishna (MLSys, 2024)

Accurate Low-Degree Polynomial Approximation of Non-polynomial Operators for Fast Private Inference in Homomorphic Encryption. - Jianming Tong; Jingtian Dang; Anupam Golder; Callie Hao; Arijit Raychowdhury; Tushar Krishna (CoRR, 2024)

SCALE-Sim V3: a Modular Cycle-Accurate Systolic Accelerator Simulator for End-To-End System Analysis. - Ritik Raj; Sarbartha Banerjee; Nikhil Chandra; Zishen Wan; Jianming Tong; Ananda Samajdhar; Tushar Krishna (ISPASS, 2025)

Exploring Constrained Dataflow Accelerators for Real-Time Multi-Task Multi-Model Ml Workloads. - Jamin Seo; Jianming Tong; Tushar Krishna; Hyoukjun Kwon (ISPASS, 2025)

Sipping Matcha of Security: A Fireside Chat With Mengjia Yan. - Jianming Tong; Zishen Wan (IEEE Micro, 2025)

Leveraging ASIC AI Chips for Homomorphic Encryption. - Jianming Tong; Tianhao Huang; Leo de Castro; Anirudh Itagi; Jingtian Dang; Anupam Golder; Asra Ali; Jevin Jiang; Arvind 001; G. Edward Suh; Tushar Krishna (CoRR, 2025)