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Kuan Wang
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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
9732019
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
2072020
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
1912020
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
1002018
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
50*2019
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, 2024
392024
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
302021
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
212019
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
172019
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
162020
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
52022
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
42021
Adapting LLM Agents Through Communication
K Wang, Y Lu, M Santacroce, Y Gong, C Zhang, Y Shen
arXiv preprint arXiv:2310.01444, 2023
32023
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
22021
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
2024
TSM: Temporal shift module for efficient and scalable video understanding on edge devices
J Lin, C Gan, K Wang, S Han
IEEE transactions on pattern analysis and machine intelligence 44 (5), 2760-2774, 2020
2020
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
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