Interpreting CNN Knowledge via an Explanatory Graph. - Quanshi Zhang; Ruiming Cao; Feng Shi 006; Ying Nian Wu; Song-Chun Zhu (AAAI, 2018)

Explanatory Graphs for CNNs. - Quanshi Zhang; Xin Wang 108; Ruiming Cao; Ying Nian Wu; Feng Shi 006; Song-Chun Zhu (CoRR, 2018)

Sparse Winograd Convolutional Neural Networks on Small-scale Systolic Arrays. - Feng Shi 006; Haochen Li; Yuhe Gao; Benjamin Kuschner; Song-Chun Zhu (FPGA, 2019)

HUGE2: a Highly Untangled Generative-model Engine for Edge-computing. - Feng Shi 006; Ziheng Xu; Tao Yuan; Song-Chun Zhu (CoRR, 2019)

Structured Attention for Unsupervised Dialogue Structure Induction. - Liang Qiu 001; Yizhou Zhao; Weiyan Shi; Yuan Liang 001; Feng Shi 006; Tao Yuan; Zhou Yu; Song-Chun Zhu (EMNLP (1), 2020)

Vertical-Horizontal Structured Attention for Generating Music with Chords. - Yizhou Zhao; Liang Qiu 001; Wensi Ai; Feng Shi 006; Song-Chun Zhu (CoRR, 2020)

Ferroelectric-based Accelerators for Computationally Hard Problems. - Mohammad Khairul Bashar; Jaykumar Vaidya; R. S. Surya Kanthi; Chonghan Lee; Feng Shi 006; Vijaykrishnan Narayanan; Nikhil Shukla (ACM Great Lakes Symposium on VLSI, 2021)

VersaGNN: a Versatile accelerator for Graph neural networks. - Feng Shi 006; Ahren Yiqiao Jin; Song-Chun Zhu (CoRR, 2021)

STAR: Sparse Transformer-based Action Recognition. - Feng Shi 006; Chonghan Lee; Liang Qiu 001; Yizhou Zhao; Tianyi Shen; Shivran Muralidhar; Tian Han 001; Song-Chun Zhu; Vijaykrishnan Narayanan (CoRR, 2021)

Transformer-based Machine Learning for Fast SAT Solvers and Logic Synthesis. - Feng Shi 006; Chonghan Lee; Mohammad Khairul Bashar; Nikhil Shukla; Song-Chun Zhu; Vijaykrishnan Narayanan (CoRR, 2021)

An Oscillator-based MaxSAT solver. - Mohammad Khairul Bashar; Jaykumar Vaidya; Antik Mallick; R. S. Surya Kanthi; Shamiul Alam; Nazmul Amin; Chonghan Lee; Feng Shi 006; Ahmedullah Aziz; Vijaykrishnan Narayanan; Nikhil Shukla (CoRR, 2021)

GenMotion: Data-driven Motion Generators for Real-time Animation Synthesis. - Yizhou Zhao; Wensi Ai; Liang Qiu 001; Pan Lu; Feng Shi 006; Tian Han 001; Song-Chun Zhu (CoRR, 2021)

Extraction of an Explanatory Graph to Interpret a CNN. - Quanshi Zhang; Xin Wang 108; Ruiming Cao; Ying Nian Wu; Feng Shi 006; Song-Chun Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Adaptive AI Algorithms for Generic Hardware and Unified Hardware Acceleration Architecture. - Feng Shi 006 (2021)

Learning from the Tangram to Solve Mini Visual Tasks. - Yizhou Zhao; Liang Qiu 001; Pan Lu; Feng Shi 006; Tian Han 001; Song-Chun Zhu (AAAI, 2022)