| Interpreting CNN knowledge via an explanatory graph Q Zhang, R Cao, F Shi, YN Wu, SC Zhu Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 257 | 2018 |
| Structured attention for unsupervised dialogue structure induction L Qiu, Y Zhao, W Shi, Y Liang, F Shi, T Yuan, Z Yu, SC Zhu 2020 Empirical Methods in Natural Language Processing (EMNLP), 2020 | 34 | 2020 |
| Extraction of an explanatory graph to interpret a cnn Q Zhang, X Wang, R Cao, YN Wu, F Shi, SC Zhu IEEE transactions on pattern analysis and machine intelligence 43 (11), 3863 …, 2020 | 31 | 2020 |
| Star: Sparse transformer-based action recognition F Shi, C Lee, L Qiu, Y Zhao, T Shen, S Muralidhar, T Han, SC Zhu, ... arXiv preprint arXiv:2107.07089, 2021 | 30 | 2021 |
| Sparse Winograd Convolutional neural networks on small-scale systolic arrays F Shi, H Li, Y Gao, B Kuschner, SC Zhu 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 118, 2019 | 20 | 2019 |
| Transformer-based machine learning for fast sat solvers and logic synthesis F Shi, C Lee, MK Bashar, N Shukla, SC Zhu, V Narayanan arXiv preprint arXiv:2107.07116, 2021 | 14 | 2021 |
| Versagnn: a versatile accelerator for graph neural networks F Shi, AY Jin, SC Zhu arXiv preprint arXiv:2105.01280, 2021 | 13 | 2021 |
| Explanatory graphs for CNNs Q Zhang, X Wang, R Cao, YN Wu, F Shi, SC Zhu arXiv preprint arXiv:1812.07997, 2018 | 7 | 2018 |
| Power-bandwidth trade-off on TSV array in 3D IC and TSV-RDL junction design challenges W Yao, F Shi, L He, S Pan, B Achkir, L Li 2012 IEEE 21st Conference on Electrical Performance of Electronic Packaging …, 2012 | 4 | 2012 |
| Learning from the tangram to solve mini visual tasks Y Zhao, L Qiu, P Lu, F Shi, T Han, SC Zhu Proceedings of the AAAI Conference on Artificial Intelligence 36 (3), 3490-3498, 2022 | 3 | 2022 |
| Ferroelectric-based Accelerators for Computationally Hard Problems MK Bashar, J Vaidya, RS Surya Kanthi, C Lee, F Shi, V Narayanan, ... Proceedings of the 2021 on Great Lakes Symposium on VLSI, 485-489, 2021 | 2 | 2021 |
| HUGE2: a highly untangled generative-model engine for edge-computing F Shi, Z Xu, T Yuan, SC Zhu arXiv preprint arXiv:1907.11210, 2019 | 2 | 2019 |
| Twin graph convolutional networks: Gcn with dual graph support for semi-supervised learning F Shi, Y Zhao, Z Xu, T Liu, SC Zhu | 1 | 2019 |
| GenMotion: Data-driven Motion Generators for Real-time Animation Synthesis Y Zhao, W Ai, L Qiu, P Lu, F Shi, T Han, SC Zhu arXiv preprint arXiv:2112.06060, 2021 | | 2021 |
| An Oscillator-based MaxSAT solver MK Bashar, J Vaidya, A Mallick, RS Kanthi, S Alam, N Amin, C Lee, F Shi, ... arXiv preprint arXiv:2109.09897, 2021 | | 2021 |
| Vertical-Horizontal Structured Attention for Generating Music with Chords Y Zhao, L Qiu, W Ai, F Shi, SC Zhu arXiv preprint arXiv:2011.09078, 2020 | | 2020 |
| Physical Design Methodology for Godson-2G Microprocessor JY Zhao, D Liu, DD Huan, MH Su, B Xiao, Y Xu, F Shi, C Chen, S Wang Journal of Computer Science and Technology 25, 225-231, 2010 | | 2010 |
song-chun zhuProfessor of Statistics and Computer Science, UCLAVerified email at stat.ucla.edu
