Feng Shi

According to our database, Feng Shi authored at least 14 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Learning from the Tangram to Solve Mini Visual Tasks.

Yizhou Zhao, Liang Qiu, Pan Lu, Feng Shi, Tian Han, Song-Chun Zhu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Adaptive AI Algorithms for Generic Hardware and Unified Hardware Acceleration Architecture.

Feng Shi

PhD thesis, 2021

Extraction of an Explanatory Graph to Interpret a CNN.

Quanshi Zhang, Xin Wang, Ruiming Cao, Ying Nian Wu, Feng Shi, Song-Chun Zhu

IEEE Trans. Pattern Anal. Mach. Intell., 2021

GenMotion: Data-driven Motion Generators for Real-time Animation Synthesis.

Yizhou Zhao, Wensi Ai, Liang Qiu, Pan Lu, Feng Shi, Tian Han, Song-Chun Zhu

CoRR, 2021

Transformer-based Machine Learning for Fast SAT Solvers and Logic Synthesis.

Feng Shi, Chonghan Lee, Mohammad Khairul Bashar, Nikhil Shukla, Song-Chun Zhu, Vijaykrishnan Narayanan

CoRR, 2021

STAR: Sparse Transformer-based Action Recognition.

Feng Shi, Chonghan Lee, Liang Qiu, Yizhou Zhao, Tianyi Shen, Shivran Muralidhar, Tian Han, Song-Chun Zhu, Vijaykrishnan Narayanan

CoRR, 2021

VersaGNN: a Versatile accelerator for Graph neural networks.

Feng Shi, Ahren Yiqiao Jin, Song-Chun Zhu

CoRR, 2021

Ferroelectric-based Accelerators for Computationally Hard Problems.

Mohammad Khairul Bashar, Jaykumar Vaidya, R. S. Surya Kanthi, Chonghan Lee, Feng Shi, Vijaykrishnan Narayanan, Nikhil Shukla

Proceedings of the GLSVLSI '21: Great Lakes Symposium on VLSI 2021, 2021

2020

Vertical-Horizontal Structured Attention for Generating Music with Chords.

Yizhou Zhao, Liang Qiu, Wensi Ai, Feng Shi, Song-Chun Zhu

CoRR, 2020

Structured Attention for Unsupervised Dialogue Structure Induction.

Liang Qiu, Yizhou Zhao, Weiyan Shi, Yuan Liang, Feng Shi, Tao Yuan, Zhou Yu, Song-Chun Zhu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

HUGE2: a Highly Untangled Generative-model Engine for Edge-computing.

Feng Shi, Ziheng Xu, Tao Yuan, Song-Chun Zhu

CoRR, 2019

Sparse Winograd Convolutional Neural Networks on Small-scale Systolic Arrays.

Feng Shi, Haochen Li, Yuhe Gao, Benjamin Kuschner, Song-Chun Zhu

Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019

2018

Explanatory Graphs for CNNs.

Quanshi Zhang, Xin Wang, Ruiming Cao, Ying Nian Wu, Feng Shi, Song-Chun Zhu

CoRR, 2018

Interpreting CNN Knowledge via an Explanatory Graph.

Quanshi Zhang, Ruiming Cao, Feng Shi, Ying Nian Wu, Song-Chun Zhu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018