| Haq: Hardware-aware automated quantization with mixed precision K Wang, Z Liu, Y Lin, J Lin, S Han Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 1156 | 2019 |
| GCN-RL circuit designer: Transferable transistor sizing with graph neural networks and reinforcement learning H Wang, K Wang, J Yang, L Shen, N Sun, HS Lee, S Han 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020 | 288 | 2020 |
| Apq: Joint search for network architecture, pruning and quantization policy T Wang, K Wang, H Cai, J Lin, Z Liu, H Wang, Y Lin, S Han Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 225 | 2020 |
| Toolqa: A dataset for llm question answering with external tools Y Zhuang, Y Yu, K Wang, H Sun, C Zhang Advances in Neural Information Processing Systems 36, 50117-50143, 2023 | 162 | 2023 |
| Explicit loss-error-aware quantization for low-bit deep neural networks A Zhou, A Yao, K Wang, Y Chen Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 113 | 2018 |
| Automl for architecting efficient and specialized neural networks H Cai, J Lin, Y Lin, Z Liu, K Wang, T Wang, L Zhu, S Han IEEE Micro 40 (1), 75-82, 2019 | 62* | 2019 |
| GNN is a Counter? Revisiting GNN for Question Answering K Wang, Y Zhang, D Yang, L Song, T Qin ICLR 2022; arXiv preprint arXiv:2110.03192, 2021 | 38 | 2021 |
| Neural-Hardware Architecture Search Y Lin, D Hafdi, K Wang, Z Liu, S Han Conference on Neural Information Processing Systems, Workshop on ML for Systems, 2019 | 25 | 2019 |
| On-device image classification with proxyless neural architecture search and quantization-aware fine-tuning H Cai, T Wang, Z Wu, K Wang, J Lin, S Han Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 25 | 2019 |
| Hardware-centric autoML for mixed-precision quantization K Wang, Z Liu, Y Lin, J Lin, S Han International Journal of Computer Vision 128 (8), 2035-2048, 2020 | 18 | 2020 |
| Adapting LLM Agents Through Communication K Wang, Y Lu, M Santacroce, Y Gong, C Zhang, Y Shen arXiv preprint arXiv:2310.01444, 2023 | 13 | 2023 |
| Generation-Augmented Query Expansion For Code Retrieval D Li, Y Shen, R Jin, Y Mao, K Wang, W Chen arXiv preprint arXiv:2212.10692, 2022 | 7 | 2022 |
| Arl2: Aligning retrievers for black-box large language models via self-guided adaptive relevance labeling L Zhang, Y Yu, K Wang, C Zhang arXiv preprint arXiv:2402.13542, 2024 | 4 | 2024 |
| How to design sample and computationally efficient vqa models K Samel, Z Zhao, B Chen, K Wang, R Luo, L Song arXiv preprint arXiv:2103.11537, 2021 | 3 | 2021 |
| RNR: Teaching Large Language Models to Follow Roles and Rules K Wang, A Bukharin, H Jiang, Q Yin, Z Wang, T Zhao, J Shang, C Zhang, ... arXiv preprint arXiv:2409.13733, 2024 | 1 | 2024 |
| TSM: Temporal Shift Module for Efficient and Scalable Video Understanding on Edge Device J Lin, C Gan, K Wang, S Han arXiv preprint arXiv:2109.13227, 2021 | | 2021 |
| Gcn-rl circuit designer: Transferable transistor sizing with graph neural networks and reinforcement learning. In 2020 57th ACM/IEEE Design Automation Conference (DAC) H Wang, K Wang, J Yang, L Shen, N Sun, HS Lee, S Han IEEE, 1ś6, 2020 | | 2020 |
| Lessons Learned from a Lightweight Autonomous Vehicle Implementation K Wang, D Sun, X Ma, Z Gu, H Zhao Workshop on Scene Understanding, CVPR 2017, http://sunw.csail.mit.edu …, 2017 | | 2017 |
