Design Space Exploration of Neural Network Activation Function Circuits. - Tao Yang 032; Yadong Wei; Zhijun Tu; Haolun Zeng; Michel A. Kinsy; Nanning Zheng 001; Pengju Ren (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019)

CAQ: Context-Aware Quantization via Reinforcement Learning. - Zhijun Tu; Jian Ma; Tian Xia 008; Wenzhe Zhao; Pengju Ren; Nanning Zheng 001 (IJCNN, 2021)

AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets. - Zhijun Tu; Xinghao Chen 001; Pengju Ren; Yunhe Wang 001 (ECCV (11), 2022)

Research on Aerial Autonomous Docking and Landing Technology of Dual Multi-Rotor UAV. - Liang Wang 030; Xiangqian Jiang; Di Wang; Lisheng Wang; Zhijun Tu; Jianliang Ai (Sensors, 2022)

NTIRE 2023 Challenge on Image Denoising: Methods and Results. - Yawei Li 001; Yulun Zhang 001; Radu Timofte; Luc Van Gool; Zhijun Tu; Kunpeng Du; Hailing Wang; Hanting Chen; Wei Li 002; Xiaofei Wang; Jie Hu 021; Yunhe Wang 001; et al. (CVPR Workshops, 2023)

Toward Accurate Post-Training Quantization for Image Super Resolution. - Zhijun Tu; Jie Hu 021; Hanting Chen; Yunhe Wang 001 (CVPR, 2023)

GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image. - Mingjian Zhu; Hanting Chen; Qiangyu Yan; Xudong Huang; Guanyu Lin; Wei Li 002; Zhijun Tu; Hailin Hu 002; Jie Hu 021; Yunhe Wang 001 (NeurIPS, 2023)

Data Upcycling Knowledge Distillation for Image Super-Resolution. - Yun Zhang; Wei Li 002; Simiao Li; Jie Hu 021; Hanting Chen; Hailing Wang; Zhijun Tu; Wenjia Wang; Bingyi Jing; Yunhe Wang 001 (CoRR, 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)

PQ-SAM: Post-training Quantization for Segment Anything Model. - Xiaoyu Liu; Xin Ding; Lei Yu; Yuanyuan Xi; Wei Li 002; Zhijun Tu; Jie Hu 021; Hanting Chen; Baoqun Yin; Zhiwei Xiong (ECCV (10), 2024)

U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers. - Yuchuan Tian; Zhijun Tu; Hanting Chen; Jie Hu 021; Chao Xu 006; Yunhe Wang 001 (NeurIPS, 2024)

A Survey on Transformer Compression. - Yehui Tang; Yunhe Wang 001; Jianyuan Guo; Zhijun Tu; Kai Han 002; Hailin Hu 002; Dacheng Tao (CoRR, 2024)

IPT-V2: Efficient Image Processing Transformer using Hierarchical Attentions. - Zhijun Tu; Kunpeng Du; Hanting Chen; Hailing Wang; Wei Li 002; Jie Hu 021; Yunhe Wang 001 (CoRR, 2024)

LIPT: Latency-aware Image Processing Transformer. - Junbo Qiao; Wei Li 002; Haizhen Xie; Hanting Chen; Yunshuai Zhou; Zhijun Tu; Jie Hu 021; Shaohui Lin (CoRR, 2024)

One Step Diffusion-based Super-Resolution with Time-Aware Distillation. - Xiao He 014; Huaao Tang; Zhijun Tu; Junchao Zhang; Kun Cheng; Hanting Chen; Yong Guo; Mingrui Zhu; Nannan Wang 001; Xinbo Gao 001; Jie Hu 021 (CoRR, 2024)

Effective Diffusion Transformer Architecture for Image Super-Resolution. - Kun Cheng; Lei Yu; Zhijun Tu; Xiao He 014; Liyu Chen; Yong Guo; Mingrui Zhu; Nannan Wang 001; Xinbo Gao 001; Jie Hu 021 (AAAI, 2025)

RaSS: Improving Denoising Diffusion Samplers with Reinforced Active Sampling Scheduler. - Xin Ding; Lei Yu; Xin Li 082; Zhijun Tu; Hanting Chen; Jie Hu; Zhibo Chen 001 (CVPR, 2025)

CBQ: Cross-Block Quantization for Large Language Models. - Xin Ding; Xiaoyu Liu; Zhijun Tu; Yun Zhang; Wei Li 002; Jie Hu 021; Hanting Chen; Yehui Tang; Zhiwei Xiong; Baoqun Yin; Yunhe Wang 001 (ICLR, 2025)

AugKD: Ingenious Augmentations Empower Knowledge Distillation for Image Super-Resolution. - Yun Zhang; Wei Li 002; Simiao Li; Hanting Chen; Zhijun Tu; Bingyi Jing; Shaohui Lin; Jie Hu 021; Wenjia Wang (ICLR, 2025)

Autoregressive Image Generation Guided by Chains of Thought. - Miaomiao Cai; Guanjie Wang; Wei Li 002; Zhijun Tu; Hanting Chen; Shaohui Lin; Jie Hu 021 (CoRR, 2025)

One-Step Diffusion-based Real-World Image Super-Resolution with Visual Perception Distillation. - Xue Wu; Jingwei Xin; Zhijun Tu; Jie Hu 021; Jie Li 001; Nannan Wang 001; Xinbo Gao 001 (CoRR, 2025)

Rethinking 1-bit Optimization Leveraging Pre-trained Large Language Models. - Zhijun Tu; Hanting Chen; Siqi Liu; Chuanjian Liu; Jian Li; Jie Hu 021; Yunhe Wang 001 (CoRR, 2025)