Training itself: Mixed-signal training acceleration for memristor-based neural network. - Boxun Li; Yuzhi Wang; Yu Wang 002; Yiran Chen 001; Huazhong Yang (ASP-DAC, 2014)

A self-aware data compression system on FPGA in Hadoop. - Yubin Li; Yuliang Sun; Guohao Dai; Yuzhi Wang; Jiacai Ni; Yu Wang 002; Guoliang Li 001; Huazhong Yang (FPT, 2015)

Blind drift calibration of sensor networks using signal space projection and Kalman filter. - Yuzhi Wang; Anqi Yang; Zhan Li; Pengjun Wang; Huazhong Yang (ISSNIP, 2015)

Drift detection and calibration of sensor networks. - Zhan Li; Yuzhi Wang; Anqi Yang; Huazhong Yang (WCSP, 2015)

EAST: An Efficient and Accurate Scene Text Detector. - Xinyu Zhou 004; Cong Yao; He Wen; Yuzhi Wang; Shuchang Zhou 001; Weiran He; Jiajun Liang (CVPR, 2017)

A Deep Learning Approach for Blind Drift Calibration of Sensor Networks. - Yuzhi Wang; Anqi Yang; Xiaoming Chen 003; Pengjun Wang; Yu Wang 002; Huazhong Yang (CoRR, 2017)

Balanced Quantization: An Effective and Efficient Approach to Quantized Neural Networks. - Shuchang Zhou 001; Yuzhi Wang; He Wen; Qinyao He; Yuheng Zou (J. Comput. Sci. Technol., 2017)

NTIRE 2019 Challenge on Real Image Denoising: Methods and Results. - Abdelrahman Abdelhamed; Radu Timofte; Michael S. Brown; Songhyun Yu; Bumjun Park; Jechang Jeong; Seung-Won Jung; Dong-Wook Kim; Jae Ryun Chung; Jiaming Liu; Yuzhi Wang; Chi-Hao Wu 001; et al. (CVPR Workshops, 2019)

Learning Raw Image Denoising With Bayer Pattern Unification and Bayer Preserving Augmentation. - Jiaming Liu; Chihao Wu 001; Yuzhi Wang; Qin Xu; Yuqian Zhou; Haibin Huang; Chuan Wang 001; Shaofan Cai; Yifan Ding; Haoqiang Fan; Jue Wang 001 (CVPR Workshops, 2019)

Practical Deep Raw Image Denoising on Mobile Devices. - Yuzhi Wang; Haibin Huang; Qin Xu; Jiaming Liu; Yiqun Liu 001; Jue Wang 001 (ECCV (6), 2020)

NBNet: Noise Basis Learning for Image Denoising With Subspace Projection. - Shen Cheng; Yuzhi Wang; Haibin Huang; Donghao Liu; Haoqiang Fan; Shuaicheng Liu (CVPR, 2021)

An Improved CNN-Based Apple Appearance Quality Classification Method With Small Samples. - Li Sun; Kaibo Liang; Yanxing Song; Yuzhi Wang (IEEE Access, 2021)

Learnability Enhancement for Low-light Raw Denoising: Where Paired Real Data Meets Noise Modeling. - Hansen Feng; Lizhi Wang 001; Yuzhi Wang; Hua Huang 001 (ACM Multimedia, 2022)

Research on resilience process model of space-based communication networks based on OPM. - Yuxian Xie; Chengyu Liu; Hongxu Li; Yuzhi Wang; Yingchao Zhang (SACI, 2022)

Robust deep ensemble method for real-world image denoising. - Pengju Liu; Hongzhi Zhang; Jinghui Wang; Yuzhi Wang; Dongwei Ren; Wangmeng Zuo (Neurocomputing, 2022)

Multi-swarm-based cooperative reconfiguration model for resilient unmanned weapon system-of-systems. - Qin Sun; Hongxu Li; Yuzhi Wang; Yingchao Zhang (Reliab. Eng. Syst. Saf., 2022)

FSI: Frequency and Spatial Interactive Learning for Image Restoration in Under-Display Cameras. - Chengxu Liu; Xuan Wang 018; Shuai Li; Yuzhi Wang; Xueming Qian (ICCV, 2023)

Towards Robust SDRTV-to-HDRTV via Dual Inverse Degradation Network. - Kepeng Xu; Gang He 002; Li Xu 008; Xingchao Yang; Ming Sun 008; Yuzhi Wang; Zijia Ma; Haoqiang Fan; Xing Wen (CoRR, 2023)

Physics-guided Noise Neural Proxy for Low-light Raw Image Denoising. - Hansen Feng; Lizhi Wang 001; Yiqi Huang; Yuzhi Wang; Hua Huang 001 (CoRR, 2023)

Improving Implicit Discourse Relation Recognition via Connective Prediction and Dependency-weighted Label Hierarchy. - Xianzhi Liu; Shaoru Guo; Juncai Li; Zhichao Yan; Xuefeng Su; Boxiang Ma; Yuzhi Wang; Ru Li (IJCNN, 2024)

Planning, Living and Judging: A Multi-agent LLM-based Framework for Cyclical Urban Planning. - Hang Ni; Yuzhi Wang; Hao Liu (CoRR, 2024)

An intelligent system for high-density small target pest identification and infestation level determination based on an improved YOLOv5 model. - Li Sun; Zhenghua Cai; Kaibo Liang; Yuzhi Wang; Wang Zeng; Xueqian Yan (Expert Syst. Appl., 2024)

Learnability Enhancement for Low-Light Raw Image Denoising: A Data Perspective. - Hansen Feng; Lizhi Wang 001; Yuzhi Wang; Haoqiang Fan; Hua Huang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Diagnosis of tomato pests and diseases based on lightweight CNN model. - Li Sun; Kaibo Liang; Yuzhi Wang; Wang Zeng; Xinyue Niu; Longhao Jin (Soft Comput., 2024)

Impact of AI on firm ambidextrous innovation: Mediating role of digital knowledge coupling. - Jianlan Li; Yuzhi Wang; Wang Zeng; Kaibo Liang (Int. J. Inf. Manag., 2025)

Kimi k1.5: Scaling Reinforcement Learning with LLMs. - Kimi Team; Angang Du; Bofei Gao; Bowei Xing; Changjiu Jiang; Cheng Chen; Cheng Li; Chenjun Xiao; Chenzhuang Du; Chonghua Liao; Chuning Tang; Congcong Wang; et al. (CoRR, 2025)

MoBA: Mixture of Block Attention for Long-Context LLMs. - Enzhe Lu; Zhejun Jiang; Jingyuan Liu; Yulun Du; Tao Jiang; Chao Hong; Shaowei Liu; Weiran He; Enming Yuan; Yuzhi Wang; Zhiqi Huang; Huan Yuan; et al. (CoRR, 2025)

Muon is Scalable for LLM Training. - Jingyuan Liu; Jianlin Su; Xingcheng Yao; Zhejun Jiang; Guokun Lai; Yulun Du; Yidao Qin; Weixin Xu; Enzhe Lu; Junjie Yan; Yanru Chen; Huabin Zheng; et al. (CoRR, 2025)

Kimi-VL Technical Report. - Angang Du; Bohong Yin; Bowei Xing; Bowen Qu; Bowen Wang; Cheng Chen; Chenlin Zhang; Chenzhuang Du; Chu Wei; Congcong Wang; Dehao Zhang; Dikang Du; et al. (CoRR, 2025)

Kimi-Audio Technical Report. - KimiTeam; Ding Ding; Zeqian Ju; Yichong Leng; Songxiang Liu; Tong Liu; Zeyu Shang; Kai Shen; Wei Song; Xu Tan 003; Heyi Tang; Zhengtao Wang; et al. (CoRR, 2025)