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Zhijun Tu
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2020 – today
- 2024
- [c6]Xiaoyu Liu, Xin Ding, Lei Yu, Yuanyuan Xi, Wei Li, Zhijun Tu, Jie Hu, Hanting Chen, Baoqun Yin, Zhiwei Xiong:
PQ-SAM: Post-training Quantization for Segment Anything Model. ECCV (10) 2024: 420-437 - [i11]Yehui Tang, Yunhe Wang, Jianyuan Guo
, Zhijun Tu, Kai Han, Hailin Hu, Dacheng Tao:
A Survey on Transformer Compression. CoRR abs/2402.05964 (2024) - [i10]Zhijun Tu, Kunpeng Du, Hanting Chen, Hailing Wang, Wei Li, Jie Hu, Yunhe Wang:
IPT-V2: Efficient Image Processing Transformer using Hierarchical Attentions. CoRR abs/2404.00633 (2024) - [i9]Junbo Qiao, Wei Li, Haizhen Xie, Hanting Chen, Yunshuai Zhou, Zhijun Tu, Jie Hu, Shaohui Lin:
LIPT: Latency-aware Image Processing Transformer. CoRR abs/2404.06075 (2024) - [i8]Yuchuan Tian, Zhijun Tu, Hanting Chen, Jie Hu, Chao Xu, Yunhe Wang:
U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers. CoRR abs/2405.02730 (2024) - [i7]Xiao He, Huaao Tang, Zhijun Tu, Junchao Zhang, Kun Cheng, Hanting Chen, Yong Guo, Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Hu:
One Step Diffusion-based Super-Resolution with Time-Aware Distillation. CoRR abs/2408.07476 (2024) - [i6]Kun Cheng, Lei Yu, Zhijun Tu, Xiao He, Liyu Chen, Yong Guo, Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Hu:
Effective Diffusion Transformer Architecture for Image Super-Resolution. CoRR abs/2409.19589 (2024) - 2023
- [c5]Yawei Li
NTIRE 2023 Challenge on Image Denoising: Methods and Results. CVPR Workshops 2023: 1905-1921 - [c4]Zhijun Tu, Jie Hu, Hanting Chen, Yunhe Wang:
Toward Accurate Post-Training Quantization for Image Super Resolution. CVPR 2023: 5856-5865 - [c3]Mingjian Zhu, Hanting Chen, Qiangyu Yan, Xudong Huang, Guanyu Lin, Wei Li, Zhijun Tu, Hailin Hu, Jie Hu, Yunhe Wang:
GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image. NeurIPS 2023 - [i5]Mingjian Zhu, Hanting Chen, Qiangyu Yan, Xudong Huang, Guanyu Lin, Wei Li, Zhijun Tu, Hailin Hu, Jie Hu, Yunhe Wang:
GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image. CoRR abs/2306.08571 (2023) - [i4]Yun Zhang, Wei Li, Simiao Li, Jie Hu, Hanting Chen, Hailing Wang, Zhijun Tu, Wenjia Wang, Bingyi Jing, Yunhe Wang:
Data Upcycling Knowledge Distillation for Image Super-Resolution. CoRR abs/2309.14162 (2023) - [i3]Xin Ding, Xiaoyu Liu, Yun Zhang, Zhijun Tu, Wei Li, Jie Hu, Hanting Chen, Yehui Tang, Zhiwei Xiong, Baoqun Yin, Yunhe Wang:
CBQ: Cross-Block Quantization for Large Language Models. CoRR abs/2312.07950 (2023) - 2022
- [j2]Liang Wang, Xiangqian Jiang, Di Wang, Lisheng Wang, Zhijun Tu, Jianliang Ai:
Research on Aerial Autonomous Docking and Landing Technology of Dual Multi-Rotor UAV. Sensors 22(23): 9066 (2022) - [c2]Zhijun Tu
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets. ECCV (11) 2022: 379-395 - [i2]Zhijun Tu, Xinghao Chen, Pengju Ren, Yunhe Wang:
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets. CoRR abs/2208.08084 (2022) - 2021
- [c1]Zhijun Tu
CAQ: Context-Aware Quantization via Reinforcement Learning. IJCNN 2021: 1-8
2010 – 2019
- 2019
- [j1]Tao Yang, Yadong Wei
Design Space Exploration of Neural Network Activation Function Circuits. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(10): 1974-1978 (2019) - 2018
- [i1]Tao Yang, Yadong Wei, Zhijun Tu, Haolun Zeng, Michel A. Kinsy, Nanning Zheng, Pengju Ren:
Design Space Exploration of Neural Network Activation Function Circuits. CoRR abs/1810.08650 (2018)
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