| Recent advances in convolutional neural network acceleration Q Zhang, M Zhang, T Chen, Z Sun, Y Ma, B Yu Neurocomputing 323, 37-51, 2019 | 320 | 2019 |
| Image encryption and compression based on kronecker compressed sensing and elementary cellular automata scrambling T Chen, M Zhang, J Wu, C Yuen, Y Tong Optics & Laser Technology 84, 118-133, 2016 | 66 | 2016 |
| Correlated multi-objective multi-fidelity optimization for HLS directives design Q Sun, T Chen, S Liu, J Chen, H Yu, B Yu ACM Transactions on Design Automation of Electronic Systems (TODAES) 27 (4 …, 2022 | 24 | 2022 |
| Power-driven DNN dataflow optimization on FPGA Q Sun, T Chen, J Miao, B Yu 2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-7, 2019 | 17 | 2019 |
| Electricity theft detection using generative models Q Zhang, M Zhang, T Chen, J Fan, Z Yang, G Li 2018 IEEE 30th International Conference on Tools with Artificial …, 2018 | 16 | 2018 |
| Deep H-GCN: Fast analog IC aging-induced degradation estimation T Chen, Q Sun, C Zhan, C Liu, H Yu, B Yu IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021 | 14 | 2021 |
| An efficient sharing grouped convolution via bayesian learning T Chen, B Duan, Q Sun, M Zhang, G Li, H Geng, Q Zhang, B Yu IEEE Transactions on Neural Networks and Learning Systems 33 (12), 7367-7379, 2021 | 14 | 2021 |
| Leveraging spatial correlation for sensor drift calibration in smart building T Chen, B Lin, H Geng, S Hu, B Yu IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020 | 10 | 2020 |
| Fast and efficient DNN deployment via deep Gaussian transfer learning Q Sun, C Bai, T Chen, H Geng, X Zhang, Y Bai, B Yu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 8 | 2021 |
| Sensor drift calibration via spatial correlation model in smart building T Chen, B Lin, H Geng, B Yu Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019 | 8 | 2019 |
| Image arbitrary-ratio down-and up-sampling scheme exploiting DCT low frequency components and sparsity in high frequency components M Zhang, T Chen, X Shi, P Cao IEICE TRANSACTIONS on Information and Systems 99 (2), 475-487, 2016 | 8 | 2016 |
| Analog IC aging-induced degradation estimation via heterogeneous graph convolutional networks T Chen, Q Sun, C Zhan, C Liu, H Yu, B Yu Proceedings of the 26th Asia and South Pacific Design Automation Conference …, 2021 | 7 | 2021 |
| PTPT: physical design tool parameter tuning via multi-objective Bayesian optimization H Geng, T Chen, Y Ma, B Zhu, B Yu IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2022 | 6 | 2022 |
| Techniques for CAD tool parameter auto-tuning in physical synthesis: a survey H Geng, T Chen, Q Sun, B Yu 2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC), 635-640, 2022 | 4 | 2022 |
| Machine learning in nanometer AMS design-for-reliability T Chen, Q Sun, B Yu 2021 IEEE 14th International Conference on ASIC (ASICON), 1-4, 2021 | 3 | 2021 |
| Blind equalization of constant modulus signals based on gaussian process for classification Z Sun, T Chen, Y Tong, M Zhang Wireless Personal Communications 97, 6005-6018, 2017 | 3 | 2017 |
| A low latency and high efficient three-dimension Network-on-Chip based on hierarchical structure C Zhu, H Zhao, T Chen, T Zhu Modern Physics Letters B 31 (19-21), 1740061, 2017 | 3 | 2017 |
| Machine learning in advanced IC design: A methodological survey T Chen, GL Zhang, B Yu, B Li, U Schlichtmann IEEE Des. Test 40 (1), 17-33, 2023 | 2 | 2023 |
| Fast and Accurate Wire Timing Estimation Based on Graph Learning Y Ye, T Chen, Y Gao, H Yan, B Yu, L Shi Proc. DATE. Association for Computing Machinery, New York, NY, USA, 2023 | 1 | 2023 |
| Graph-Learning-Driven Path-Based Timing Analysis Results Predictor from Graph-Based Timing Analysis Y Ye, T Chen, Y Gao, H Yan, B Yu, L Shi | 1 | 2023 |
Bei YuThe Chinese University of Hong KongVerified email at cse.cuhk.edu.hk
