| 7.3 a 28nm 38-to-102-TOPS/W 8b multiply-less approximate digital SRAM compute-in-memory macro for neural-network inference Y He, H Diao, C Tang, W Jia, X Tang, Y Wang, J Yue, X Li, H Yang, H Jia, ... 2023 IEEE International Solid-State Circuits Conference (ISSCC), 130-132, 2023 | 15 | 2023 |
| High-quality single-model deep video compression with frame-conv3d and multi-frame differential modulation W Sun, C Tang, W Li, Z Yuan, H Yang, Y Liu Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 12 | 2020 |
| A 28nm 2D/3D unified sparse convolution accelerator with block-wise neighbor searcher for large-scaled voxel-based point cloud network W Sun, X Feng, C Tang, S Fan, Y Yang, J Yue, H Yang, Y Liu 2023 IEEE International Solid-State Circuits Conference (ISSCC), 328-330, 2023 | 8 | 2023 |
| A 112-765 gops/w fpga-based cnn accelerator using importance map guided adaptive activation sparsification for pix2pix applications W Sun, C Tang, Z Yuan, Z Yuan, H Yang, Y Liu 2020 IEEE Asian Solid-State Circuits Conference (A-SSCC), 1-4, 2020 | 8 | 2020 |
| Dynamic CNN accelerator supporting efficient filter generator with kernel enhancement and online channel pruning C Tang, W Sun, W Wang, Y Liu 2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC), 436-441, 2022 | 3 | 2022 |
| 34.7 A 28nm 2.4Mb/mm2 6.9 - 16.3TOPS/mm2 eDRAM-LUT-Based Digital-Computing-in-Memory Macro with In-Memory Encoding and Refreshing Y He, S Fan, X Li, L Lei, W Jia, C Tang, Y Li, Z Huang, Z Du, J Yue, X Li, ... 2024 IEEE International Solid-State Circuits Conference (ISSCC) 67, 578-580, 2024 | 2 | 2024 |
| A weight-reload-eliminated compute-in-memory accelerator for 60 fps 4K super-resolution Y Li, J Yue, J Wang, C Tang, Y He, W Jia, K Zou, L Zhang, H Yang, Y Liu IEEE Transactions on Circuits and Systems II: Express Briefs 70 (3), 1179-1183, 2022 | 2 | 2022 |
| Semantic Guided Fine-grained Point Cloud Quantization Framework for 3D Object Detection X Feng, C Tang, Z Zhang, W Sun, Y Liu Proceedings of the 28th Asia and South Pacific Design Automation Conference …, 2023 | 1 | 2023 |
| Efficient neural networks with spatial wise sparsity using unified importance map C Tang, W Sun, W Wang, Z Yuan, Y Liu 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 3013-3017, 2022 | 1 | 2022 |
| A Fully Quantized Training Accelerator for Diffusion Network with Tensor Type & Noise Strength Aware Precision Scheduling R Liu, W Wang, C Tang, W Gao, H Yang, Y Liu IEEE Transactions on Circuits and Systems II: Express Briefs, 2024 | | 2024 |
| A Multiply-Less Approximate SRAM Compute-In-Memory Macro for Neural-Network Inference H Diao, Y He, X Li, C Tang, W Jia, J Yue, H Luo, J Song, X Li, H Yang, ... IEEE Journal of Solid-State Circuits, 2024 | | 2024 |
| A 28nm 4.35 TOPS/mm2 Transformer Accelerator with Basis-vector Based Ultra Storage Compression, Decomposed Computation and Unified LUT-Assisted Cores C Tang, X Lin, Z Huang, W Sun, H Jia, Y Liu 2024 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and …, 2024 | | 2024 |
| A 28-nm Energy-Efficient Sparse Neural Network Processor for Point Cloud Applications Using Block-Wise Online Neighbor Searching X Feng, W Sun, C Tang, X Lin, J Yue, H Yang, Y Liu IEEE Journal of Solid-State Circuits, 2024 | | 2024 |
| A 28nm 386.5 GOPS/W Coarse-Grained DSP Using Configurable Processing Elements for Always-on Computation with FPGA Implementation H Wang, Z Wang, Y Li, C Tang, J Gao, H Yang, Y Liu 2023 IEEE Asian Solid-State Circuits Conference (A-SSCC), 1-3, 2023 | | 2023 |
| A Demonstration Platform for Large-Scaled Point Cloud Network Based on 28nm 2D/3D Unified Sparse Convolution Accelerator X Feng, W Sun, S Fan, C Tang, Y Yang, J Yue, Q Liao, H Yang, Y Liu 2023 IEEE 5th International Conference on Artificial Intelligence Circuits …, 2023 | | 2023 |
