| Holylight: A nanophotonic accelerator for deep learning in data centers W Liu, W Liu, Y Ye, Q Lou, Y Xie, L Jiang 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2019 | 84 | 2019 |
| MindReading: An Ultra-Low-Power Photonic Accelerator for EEG-based Human Intention Recognition Q Lou, W Liu, W Liu, F Guo, L Jiang 2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC), 464-469, 2020 | 6 | 2020 |
| Bitstream-Corrupted JPEG Images are Restorable: Two-stage Compensation and Alignment Framework for Image Restoration W Liu, Y Wang, KH Yap, LP Chau Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 4 | 2023 |
| Fine-grained task-level parallel and low power h. 264 decoding in multi-core systems W Liu, W Liu, M Li, P Chen, L Yang, C Xiao, Y Ye 2018 IEEE 24th international conference on parallel and distributed systems …, 2018 | 4 | 2018 |
| A Spatial-Focal Error Concealment Scheme for Corrupted Focal Stack Video K Wu, Y Wang, W Liu, KH Yap, LP Chau 2023 Data Compression Conference (DCC), 91-100, 2023 | 1 | 2023 |
| Bitstream-Corrupted Video Recovery: A Novel Benchmark Dataset and Method T Liu, K Wu, Y Wang, W Liu, KH Yap, LP Chau arXiv preprint arXiv:2309.13890, 2023 | | 2023 |
| Image Representation and Deep Inception-Attention for File-type and Malware Classification Y Wang, K Wu, W Liu, KH Yap, LP Chau 2023 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2023 | | 2023 |
| A Byte Sequence is Worth an Image: CNN for File Fragment Classification Using Bit Shift and n-Gram Embeddings W Liu, Y Wang, K Wu, KH Yap, LP Chau arXiv preprint arXiv:2304.06983, 2023 | | 2023 |
| Supplementary Material—Bitstream-Corrupted JPEG Images are Restorable: Two-stage Compensation and Alignment Framework for Image Restoration W Liu, Y Wang, KH Yap, LP Chau | | |
