Zhijun Tu

32 papers A* 9B 1Journal 19Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A* conf
Mixture of Ranks with Degradation-Aware Routing for One-Step Real-World Image Super-Resolution.
AAAI
Xiao He, Zhijun Tu, Kun Cheng, Mingrui Zhu, Jie Hu, Nannan Wang, Xinbo Gao
2026 J jnl
One Step Diffusion-Based Super-Resolution With Time-Aware Distillation.
IEEE Trans. Image Process.
Xiao He, Huaao Tang, Zhijun Tu, Junchao Zhang, Kun Cheng, Hanting Chen, Yong Guo, Mingrui Zhu, Jie Hu, Nannan Wang, Xinbo Gao
2025 A* conf
AugKD: Ingenious Augmentations Empower Knowledge Distillation for Image Super-Resolution.
ICLR
Yun Zhang, Wei Li, Simiao Li, Hanting Chen, Zhijun Tu, Bingyi Jing, Shaohui Lin, Jie Hu, Wenjia Wang
2025 J jnl
Autoregressive Image Generation Guided by Chains of Thought.
CoRR
Miaomiao Cai, Guanjie Wang, Wei Li, Zhijun Tu, Hanting Chen, Shaohui Lin, Jie Hu
2025 A* conf
CBQ: Cross-Block Quantization for Large Language Models.
ICLR
Xin Ding, Xiaoyu Liu, Zhijun Tu, Yun Zhang, Wei Li, Jie Hu, Hanting Chen, Yehui Tang, Zhiwei Xiong, Baoqun Yin, Yunhe Wang
2025 A* conf
Diff-MoE: Diffusion Transformer with Time-Aware and Space-Adaptive Experts.
ICML
Kun Cheng, Xiao He, Lei Yu, Zhijun Tu, Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Hu
2025 A* conf
Effective Diffusion Transformer Architecture for Image Super-Resolution.
AAAI
Kun Cheng, Lei Yu, Zhijun Tu, Xiao He, Liyu Chen, Yong Guo, Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Hu
2025 J jnl
Mixture of Ranks with Degradation-Aware Routing for One-Step Real-World Image Super-Resolution.
CoRR
Xiao He, Zhijun Tu, Kun Cheng, Mingrui Zhu, Jie Hu, Nannan Wang, Xinbo Gao
2025 J jnl
One-Step Diffusion-based Real-World Image Super-Resolution with Visual Perception Distillation.
CoRR
Xue Wu, Jingwei Xin, Zhijun Tu, Jie Hu, Jie Li, Nannan Wang, Xinbo Gao
2025 A* conf
RaSS: Improving Denoising Diffusion Samplers with Reinforced Active Sampling Scheduler.
CVPR
Xin Ding, Lei Yu, Xin Li, Zhijun Tu, Hanting Chen, Jie Hu, Zhibo Chen
2025 J jnl
Rethinking 1-bit Optimization Leveraging Pre-trained Large Language Models.
CoRR
Zhijun Tu, Hanting Chen, Siqi Liu, Chuanjian Liu, Jian Li, Jie Hu, Yunhe Wang
2024 J jnl
A Survey on Transformer Compression.
CoRR
Yehui Tang, Yunhe Wang, Jianyuan Guo, Zhijun Tu, Kai Han, Hailin Hu, Dacheng Tao
2024 J jnl
Effective Diffusion Transformer Architecture for Image Super-Resolution.
CoRR
Kun Cheng, Lei Yu, Zhijun Tu, Xiao He, Liyu Chen, Yong Guo, Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Hu
2024 J jnl
IPT-V2: Efficient Image Processing Transformer using Hierarchical Attentions.
CoRR
Zhijun Tu, Kunpeng Du, Hanting Chen, Hailing Wang, Wei Li, Jie Hu, Yunhe Wang
2024 J jnl
LIPT: Latency-aware Image Processing Transformer.
CoRR
Junbo Qiao, Wei Li, Haizhen Xie, Hanting Chen, Yunshuai Zhou, Zhijun Tu, Jie Hu, Shaohui Lin
2024 J jnl
One Step Diffusion-based Super-Resolution with Time-Aware Distillation.
CoRR
Xiao He, Huaao Tang, Zhijun Tu, Junchao Zhang, Kun Cheng, Hanting Chen, Yong Guo, Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Hu
2024 — conf
PQ-SAM: Post-training Quantization for Segment Anything Model.
ECCV (10)
Xiaoyu Liu, Xin Ding, Lei Yu, Yuanyuan Xi, Wei Li, Zhijun Tu, Jie Hu, Hanting Chen, Baoqun Yin, Zhiwei Xiong
2024 A* conf
U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers.
NeurIPS
Yuchuan Tian, Zhijun Tu, Hanting Chen, Jie Hu, Chao Xu, Yunhe Wang
2024 J jnl
U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers.
CoRR
Yuchuan Tian, Zhijun Tu, Hanting Chen, Jie Hu, Chao Xu, Yunhe Wang
2023 J jnl
CBQ: Cross-Block Quantization for Large Language Models.
CoRR
Xin Ding, Xiaoyu Liu, Yun Zhang, Zhijun Tu, Wei Li, Jie Hu, Hanting Chen, Yehui Tang, Zhiwei Xiong, Baoqun Yin, Yunhe Wang
2023 J jnl
Data Upcycling Knowledge Distillation for Image Super-Resolution.
CoRR
Yun Zhang, Wei Li, Simiao Li, Jie Hu, Hanting Chen, Hailing Wang, Zhijun Tu, Wenjia Wang, Bingyi Jing, Yunhe Wang
2023 A* conf
GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image.
NeurIPS
Mingjian Zhu, Hanting Chen, Qiangyu Yan, Xudong Huang, Guanyu Lin, Wei Li, Zhijun Tu, Hailin Hu, Jie Hu, Yunhe Wang
2023 J jnl
GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image.
CoRR
Mingjian Zhu, Hanting Chen, Qiangyu Yan, Xudong Huang, Guanyu Lin, Wei Li, Zhijun Tu, Hailin Hu, Jie Hu, Yunhe Wang
2023 J jnl
MLSE-Net: Multi-level Semantic Enriched Network for Medical Image Segmentation.
KSII Trans. Internet Inf. Syst.
Di Gai, Heng Luo, Jing He, Pengxiang Su, Zheng Huang, Song Zhang, Zhijun Tu
2023 — conf
NTIRE 2023 Challenge on Image Denoising: Methods and Results.
CVPR Workshops
Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Zhijun Tu, Kunpeng Du, Hailing Wang, Hanting Chen, Wei Li, Xiaofei Wang, Jie Hu, Yunhe Wang, Xiangyu Kong, Jinlong Wu, Dafeng Zhang, Jianxing Zhang, Shuai Liu, Furui Bai, Chaoyu Feng, Hao Wang, Yuqian Zhang, Guangqi Shao, Xiaotao Wang, Lei Lei, Rongjian Xu, Zhilu Zhang, Yunjin Chen, Dongwei Ren, Wangmeng Zuo, Qi Wu, Mingyan Han, Shen Cheng, Haipeng Li, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Jinting Luo, Wenjie Lin, Lei Yu, Haoqiang Fan, Shuaicheng Liu, Aditya Arora, Syed Waqas Zamir, Javier Vazquez-Corral, Konstantinos G. Derpanis, Michael S. Brown, Hao Li, Zhihao Zhao, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Bo Yang, Jingxiang Chen, Chenghua Li, Xi Zhang, Zhao Zhang, Jiahuan Ren, Zhicheng Ji, Kang Miao, Suiyi Zhao, Huan Zheng, Yanyan Wei, Kangliang Liu, Xiangcheng Du, Sijie Liu, Yingbin Zheng, Xingjiao Wu, Cheng Jin, Rajeev Irny, Sriharsha Koundinya, Vighnesh Kamath, Gaurav Khandelwal, Sunder Ali Khowaja, Jiseok Yoon, Ik Hyun Lee, Shijie Chen, Chengqiang Zhao, Huabin Yang, Zhongjian Zhang, Junjia Huang, Yanru Zhang
2023 A* conf
Toward Accurate Post-Training Quantization for Image Super Resolution.
CVPR
Zhijun Tu, Jie Hu, Hanting Chen, Yunhe Wang
2022 — conf
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets.
ECCV (11)
Zhijun Tu, Xinghao Chen, Pengju Ren, Yunhe Wang
2022 J jnl
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets.
CoRR
Zhijun Tu, Xinghao Chen, Pengju Ren, Yunhe Wang
2022 J jnl
Research on Aerial Autonomous Docking and Landing Technology of Dual Multi-Rotor UAV.
Sensors
Liang Wang, Xiangqian Jiang, Di Wang, Lisheng Wang, Zhijun Tu, Jianliang Ai
2021 B conf
CAQ: Context-Aware Quantization via Reinforcement Learning.
IJCNN
Zhijun Tu, Jian Ma, Tian Xia, Wenzhe Zhao, Pengju Ren, Nanning Zheng
2019 J jnl
Design Space Exploration of Neural Network Activation Function Circuits.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Tao Yang, Yadong Wei, Zhijun Tu, Haolun Zeng, Michel A. Kinsy, Nanning Zheng, Pengju Ren
2018 J jnl
Design Space Exploration of Neural Network Activation Function Circuits.
CoRR
Tao Yang, Yadong Wei, Zhijun Tu, Haolun Zeng, Michel A. Kinsy, Nanning Zheng, Pengju Ren