Zhijun Tu

According to our database, Zhijun Tu authored at least 25 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

ElasticDiT: Efficient Diffusion Transformers via Elastic Architecture and Sparse Attention for High-Resolution Image Generation on Mobile Devices.

Kunpeng Du, Haizhen Xie, Sen Lu, Lei Yu, Binglei Bao, Huaao Tang, Chuntao Liu, Hao Wu, Yang Zhao, Zhicai Huang, Heyuan Gao, Zhijun Tu, Jie Hu, Xinghao Chen

CoRR, May, 2026

One Step Diffusion-Based Super-Resolution With Time-Aware Distillation.

Xiao He, Huaao Tang, Zhijun Tu, Junchao Zhang, Kun Cheng, Hanting Chen, Yong Guo, Mingrui Zhu, Jie Hu, Nannan Wang, Xinbo Gao

IEEE Trans. Image Process., 2026

Mixture of Ranks with Degradation-Aware Routing for One-Step Real-World Image Super-Resolution.

Xiao He, Zhijun Tu, Kun Cheng, Mingrui Zhu, Jie Hu, Nannan Wang, Xinbo Gao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Rethinking 1-bit Optimization Leveraging Pre-trained Large Language Models.

Zhijun Tu, Hanting Chen, Siqi Liu, Chuanjian Liu, Jian Li, Jie Hu, Yunhe Wang

CoRR, August, 2025

One-Step Diffusion-based Real-World Image Super-Resolution with Visual Perception Distillation.

Xue Wu, Jingwei Xin, Zhijun Tu, Jie Hu, Jie Li, Nannan Wang, Xinbo Gao

CoRR, June, 2025

Autoregressive Image Generation Guided by Chains of Thought.

Miaomiao Cai, Guanjie Wang, Wei Li, Zhijun Tu, Hanting Chen, Shaohui Lin, Jie Hu

CoRR, February, 2025

Diff-MoE: Diffusion Transformer with Time-Aware and Space-Adaptive Experts.

Kun Cheng, Xiao He, Lei Yu, Zhijun Tu, Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Hu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

AugKD: Ingenious Augmentations Empower Knowledge Distillation for Image Super-Resolution.

Yun Zhang, Wei Li, Simiao Li, Hanting Chen, Zhijun Tu, Bingyi Jing, Shaohui Lin, Jie Hu, Wenjia Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

CBQ: Cross-Block Quantization for Large Language Models.

Xin Ding, Xiaoyu Liu, Zhijun Tu, Yun Zhang, Wei Li, Jie Hu, Hanting Chen, Yehui Tang, Zhiwei Xiong, Baoqun Yin, Yunhe Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

RaSS: Improving Denoising Diffusion Samplers with Reinforced Active Sampling Scheduler.

Xin Ding, Lei Yu, Xin Li, Zhijun Tu, Hanting Chen, Jie Hu, Zhibo Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Effective Diffusion Transformer Architecture for Image Super-Resolution.

Kun Cheng, Lei Yu, Zhijun Tu, Xiao He, Liyu Chen, Yong Guo, Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Hu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

LIPT: Latency-aware Image Processing Transformer.

Junbo Qiao, Wei Li, Haizhen Xie, Hanting Chen, Yunshuai Zhou, Zhijun Tu, Jie Hu, Shaohui Lin

CoRR, 2024

IPT-V2: Efficient Image Processing Transformer using Hierarchical Attentions.

Zhijun Tu, Kunpeng Du, Hanting Chen, Hailing Wang, Wei Li, Jie Hu, Yunhe Wang

CoRR, 2024

A Survey on Transformer Compression.

Yehui Tang, Yunhe Wang, Jianyuan Guo, Zhijun Tu, Kai Han, Hailin Hu, Dacheng Tao

CoRR, 2024

U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers.

Yuchuan Tian, Zhijun Tu, Hanting Chen, Jie Hu, Chao Xu, Yunhe Wang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

PQ-SAM: Post-training Quantization for Segment Anything Model.

Xiaoyu Liu, Xin Ding, Lei Yu, Yuanyuan Xi, Wei Li, Zhijun Tu, Jie Hu, Hanting Chen, Baoqun Yin, Zhiwei Xiong

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

MLSE-Net: Multi-level Semantic Enriched Network for Medical Image Segmentation.

Di Gai, Heng Luo, Jing He, Pengxiang Su, Zheng Huang, Song Zhang, Zhijun Tu

KSII Trans. Internet Inf. Syst., 2023

Data Upcycling Knowledge Distillation for Image Super-Resolution.

Yun Zhang, Wei Li, Simiao Li, Jie Hu, Hanting Chen, Hailing Wang, Zhijun Tu, Wenjia Wang, Bingyi Jing, Yunhe Wang

CoRR, 2023

GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image.

Mingjian Zhu, Hanting Chen, Qiangyu Yan, Xudong Huang, Guanyu Lin, Wei Li, Zhijun Tu, Hailin Hu, Jie Hu, Yunhe Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Toward Accurate Post-Training Quantization for Image Super Resolution.

Zhijun Tu, Jie Hu, Hanting Chen, Yunhe Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NTIRE 2023 Challenge on Image Denoising: Methods and Results.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Research on Aerial Autonomous Docking and Landing Technology of Dual Multi-Rotor UAV.

Liang Wang, Xiangqian Jiang, Di Wang, Lisheng Wang, Zhijun Tu, Jianliang Ai

Sensors, 2022

AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets.

Zhijun Tu, Xinghao Chen, Pengju Ren, Yunhe Wang

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

CAQ: Context-Aware Quantization via Reinforcement Learning.

Zhijun Tu, Jian Ma, Tian Xia, Wenzhe Zhao, Pengju Ren, Nanning Zheng

Proceedings of the International Joint Conference on Neural Networks, 2021

2019

Design Space Exploration of Neural Network Activation Function Circuits.

Tao Yang, Yadong Wei, Zhijun Tu, Haolun Zeng, Michel A. Kinsy, Nanning Zheng, Pengju Ren

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019