A vision-based robotic grasping system using deep learning for 3D object recognition and pose estimation. - Jincheng Yu; Kaijian Weng; Guoyuan Liang; Guanghan Xie (ROBIO, 2013)

Real-Time Pedestrian Detection and Tracking on Customized Hardware. - Junbin Wang; Ke Yan; Kaiyuan Guo; Jincheng Yu; Lingzhi Sui; Song Yao; Song Han 003; Yu Wang 002 (ESTIMedia, 2016)

Going Deeper with Embedded FPGA Platform for Convolutional Neural Network. - Jiantao Qiu; Jie Wang 022; Song Yao; Kaiyuan Guo; Boxun Li; Erjin Zhou; Jincheng Yu; Tianqi Tang 001; Ningyi Xu; Sen Song; Yu Wang 002; Huazhong Yang (FPGA, 2016)

Instruction driven cross-layer CNN accelerator with winograd transformation on FPGA. - Jincheng Yu; Yiming Hu; Xuefei Ning; Jiantao Qiu; Kaiyuan Guo; Yu Wang 002; Huazhong Yang (FPT, 2017)

A Survey of FPGA Based Neural Network Accelerator. - Kaiyuan Guo; Shulin Zeng; Jincheng Yu; Yu Wang 002; Huazhong Yang (CoRR, 2017)

Real-time object detection towards high power efficiency. - Jincheng Yu; Kaiyuan Guo; Yiming Hu; Xuefei Ning; Jiantao Qiu; Huizi Mao; Song Yao; Tianqi Tang 001; Boxun Li; Yu Wang 002; Huazhong Yang (DATE, 2018)

RRAM Based Buffer Design for Energy Efficient CNN Accelerator. - Kaiyuan Guo; Jincheng Yu; Xuefei Ning; Yiming Hu; Yu Wang 002; Huazhong Yang (ISVLSI, 2018)

Hu-Fu: Hardware and Software Collaborative Attack Framework Against Neural Networks. - Wenshuo Li; Jincheng Yu; Xuefei Ning; Pengjun Wang; Qi Wei 001; Yu Wang 002; Huazhong Yang (ISVLSI, 2018)

Angel-Eye: A Complete Design Flow for Mapping CNN Onto Embedded FPGA. - Kaiyuan Guo; Lingzhi Sui; Jiantao Qiu; Jincheng Yu; Junbin Wang; Song Yao; Song Han 003; Yu Wang 002; Huazhong Yang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018)

Instruction Driven Cross-layer CNN Accelerator for Fast Detection on FPGA. - Jincheng Yu; Guangjun Ge; Yiming Hu; Xuefei Ning; Jiantao Qiu; Kaiyuan Guo; Yu Wang 002; Huazhong Yang (ACM Trans. Reconfigurable Technol. Syst., 2018)

Compressed CNN Training with FPGA-based Accelerator. - Kaiyuan Guo; Shuang Liang 010; Jincheng Yu; Xuefei Ning; Wenshuo Li; Yu Wang 002; Huazhong Yang (FPGA, 2019)

On-Chip Instruction Generation for Cross-Layer CNN Accelerator on FPGA. - Yiming Hu; Shuang Liang 010; Jincheng Yu; Yu Wang 002; Huazhong Yang (ISVLSI, 2019)

[DL] A Survey of FPGA-based Neural Network Inference Accelerators. - Kaiyuan Guo; Shulin Zeng; Jincheng Yu; Yu Wang 002; Huazhong Yang (ACM Trans. Reconfigurable Technol. Syst., 2019)

Attentional Separation-and-Aggregation Network for Self-supervised Depth-Pose Learning in Dynamic Scenes. - Feng Gao; Jincheng Yu; Hao Shen; Yu Wang 002; Huazhong Yang (CoRL, 2020)

INCA: INterruptible CNN Accelerator for Multi-tasking in Embedded Robots. - Jincheng Yu; Zhilin Xu; Shulin Zeng; Chao Yu 005; Jiantao Qiu; Chaoyang Shen; Yuanfan Xu; Guohao Dai; Yu Wang 002; Huazhong Yang (DAC, 2020)

CNN-based Feature-point Extraction for Real-time Visual SLAM on Embedded FPGA. - Zhilin Xu; Jincheng Yu; Chao Yu 005; Hao Shen; Yu Wang 002; Huazhong Yang (FCCM, 2020)

INCAME: INterruptible CNN Accelerator for Multi-robot Exploration. - Jincheng Yu; Zhilin Xu; Shulin Zeng; Chao Yu 005; Jiantao Qiu; Chaoyang Shen; Yuanfan Xu; Guohao Dai; Yu Wang 002; Huazhong Yang (FPGA, 2020)

CNN-based Monocular Decentralized SLAM on embedded FPGA. - Jincheng Yu; Feng Gao; Jianfei Cao; Chao Yu 005; Zhaoliang Zhang; Zhengfeng Huang; Yu Wang 002; Huazhong Yang (IPDPS Workshops, 2020)

Efficient Computing Platform Design for Autonomous Driving Systems. - Shuang Liang 010; Changcheng Tang; Xuefei Ning; Shulin Zeng; Jincheng Yu; Yu Wang 002; Kaiyuan Guo; Diange Yang; Tianyi Lu; Huazhong Yang (ASP-DAC, 2021)

GAME: Gaussian Mixture Model Mapping and Navigation Engine on Embedded FPGA. - Yuanfan Xu; Zhaoliang Zhang; Jincheng Yu; Jianfei Cao; Haolin Dong; Zhengfeng Huang; Yu Wang 002; Huazhong Yang (FCCM, 2021)

SMMR-Explore: SubMap-based Multi-Robot Exploration System with Multi-robot Multi-target Potential Field Exploration Method. - Jincheng Yu; Jianming Tong; Yuanfan Xu; Zhilin Xu; Haolin Dong; Tianxiang Yang; Yu Wang 002 (ICRA, 2021)

Low-Cost Multi-Agent Navigation via Reinforcement Learning With Multi-Fidelity Simulator. - Jiantao Qiu; Chao Yu 005; Weiling Liu; Tianxiang Yang; Jincheng Yu; Yu Wang 002; Huazhong Yang (IEEE Access, 2021)

Comparative Study of Double-Stator Interior-PM Vernier Machines Based on Electromagnetic-Structural Coupling Analysis. - Jincheng Yu; Chunhua Liu; Senyi Liu; Hang Zhao (IEEE Trans. Ind. Electron., 2021)

Comparative Study of Double-Stator Vernier Machines with Different Interior Permanent-Magnet Arrangements for Unmanned Aerial Vehicles. - Jincheng Yu; Fei Zhao; Hang Zhao (ICIT, 2022)

Multi-UAV Disaster Environment Coverage Planning with Limited-Endurance. - Hongyu Song; Jincheng Yu; Jiantao Qiu; Zhixiao Sun; Kuijun Lang; Qing Luo; Yuan Shen 001; Yu Wang 002 (ICRA, 2022)

Explore-Bench: Data Sets, Metrics and Evaluations for Frontier-based and Deep-reinforcement-learning-based Autonomous Exploration. - Yuanfan Xu; Jincheng Yu; Jiahao Tang; Jiantao Qiu; Jian Wang 030; Yuan Shen 001; Yu Wang 002; Huazhong Yang (ICRA, 2022)

Design of a New Multi-Port Flux-Modulated Permanent-Magnet Composite Machine. - Jincheng Yu; Zheng Cai; Haiyang Jiang 013; Yuqing Yao; Zaixin Song (IECON, 2022)

MR-GMMExplore: Multi-Robot Exploration System in Unknown Environments based on Gaussian Mixture Model. - Yichun Wu; Qiuyi Gu; Jincheng Yu; Guangjun Ge; Jian Wang 030; Qingmin Liao; Chun Zhang; Yu Wang 002 (ROBIO, 2022)

A Mobile Robot Experiment System with Lightweight Simulator Generator for Deep Reinforcement Learning Algorithm. - Yunfei Xiang; Jiantao Qiu; Jincheng Yu; Jiahao Tang; Guangjun Ge; Yu Wang 002; Huazhong Yang (ROBIO, 2022)

Multi-UAV Coverage Planning with Limited Endurance in Disaster Environment. - Hongyu Song; Jincheng Yu; Jiantao Qiu; Zhixiao Sun; Kuijun Lang; Qing Luo; Yuan Shen 001; Yu Wang 002 (CoRR, 2022)

MR-GMMapping: Communication Efficient Multi-Robot Mapping System via Gaussian Mixture Model. - Haolin Dong; Jincheng Yu; Yuanfan Xu; Zhilin Xu; Zhaoyang Shen; Jiahao Tang; Yuan Shen 001; Yu Wang 002 (IEEE Robotics Autom. Lett., 2022)

Point Cloud Change Detection With Stereo V-SLAM: Dataset, Metrics and Baseline. - Zihan Lin; Jincheng Yu; Lipu Zhou; Xudong Zhang 001; Jian Wang 030; Yu Wang 002 (IEEE Robotics Autom. Lett., 2022)

A Framework to Co-Optimize Robot Exploration and Task Planning in Unknown Environments. - Yuanfan Xu; Zhaoliang Zhang; Jincheng Yu; Yuan Shen 001; Yu Wang 002 (IEEE Robotics Autom. Lett., 2022)

MR-TopoMap: Multi-Robot Exploration Based on Topological Map in Communication Restricted Environment. - Zhaoliang Zhang; Jincheng Yu; Jiahao Tang; Yuanfan Xu; Yu Wang 002 (IEEE Robotics Autom. Lett., 2022)

Corrections to "MR-TopoMap: Multi-Robot Exploration Based on Topological Map in Communication Restricted Environment". - Zhaoliang Zhang; Jincheng Yu; Jiahao Tang; Yuanfan Xu; Yu Wang 002 (IEEE Robotics Autom. Lett., 2022)

$ mathcal {PLC}$-LiSLAM: LiDAR SLAM With Planes, Lines, and Cylinders. - Lipu Zhou; Guoquan Huang 001; Yinian Mao; Jincheng Yu; Shengze Wang 002; Michael Kaess (IEEE Robotics Autom. Lett., 2022)

INCAME: Interruptible CNN Accelerator for Multirobot Exploration. - Jincheng Yu; Zhilin Xu; Shulin Zeng; Chao Yu 005; Jiantao Qiu; Zhaoyang Shen; Yuanfan Xu; Guohao Dai; Yu Wang 002; Huazhong Yang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

MD-RadioMap: Multi-Drone Radio Map Building via Single-Anchor Ultra-Wideband Localization Network. - Qiuyi Gu; Jincheng Yu; Zihan Lin; Jinggao Bai; Bangyan Zhang; Yuan Shen 001; Jian Wang 030; Yu Wang 002 (CASE, 2023)

UAV Swarm Planning accelerator on FPGA with low latency and fixed-point L-BFGS Quasi-Newton solver. - Suquan Zhang; Jincheng Yu; Yuanfan Xu; Yu Wang 002 (ICFPT, 2023)

Investigation on Rotor-Pole Number Cooperation Strategy by Phase Shift in Modular Flux Switching Permanent Magnet Resolvers. - Wenyuan Mi; Jincheng Yu; Zheng Cai; Fei Zhao; Guangzhong Dong; Yixiao Luo (IECON, 2023)

Design Considerations of Outer-Rotor Flux-Modulated Permanent-Magnet In-Wheel Motors. - Zekang Huang; Yixiao Luo; Wenyuan Mi; Zheng Cai; Fei Zhao; Hang Zhao; Jincheng Yu (ISIE, 2023)

DiffFlow: A Unified SDE Framework for Score-Based Diffusion Models and Generative Adversarial Networks. - Jingwei Zhang; Han Shi; Jincheng Yu; Enze Xie; Zhenguo Li (CoRR, 2023)

PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis. - Junsong Chen; Jincheng Yu; Chongjian Ge; Lewei Yao; Enze Xie; Yue Wu 002; Zhongdao Wang; James T. Kwok; Ping Luo 002; Huchuan Lu; Zhenguo Li (CoRR, 2023)

Invited: Automatic Hardware/Software Design for High-Speed Autonomous Unmanned Aerial Vehicles Guided by a Flight Model. - Yuanfan Xu; Jincheng Yu; Suquan Zhang; Yunfei Xiang; Hongyang Jia; Yu Wang 002 (DAC, 2024)

Load Balanced Sparse Bundle Adjustment Accelerator for CNN-Based Visual-Inertial Odometry on FPGA. - Yunfei Xiang; Jincheng Yu; Yuanfan Xu; Yu Hu; Kaiyuan Guo; Yuhan Dong; Yu Wang (ICFPT, 2024)

PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis. - Junsong Chen; Jincheng Yu; Chongjian Ge; Lewei Yao; Enze Xie; Zhongdao Wang; James T. Kwok; Ping Luo 002; Huchuan Lu; Zhenguo Li (ICLR, 2024)

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models. - Longhui Yu; Weisen Jiang; Han Shi; Jincheng Yu; Zhengying Liu; Yu Zhang 006; James T. Kwok; Zhenguo Li; Adrian Weller; Weiyang Liu (ICLR, 2024)

Ship Noise Target Classification Based on Deep Convolutional Networks. - Lei Zhang; Lu Sun; Jincheng Yu; Jiangzheng Shu (ICMLCA, 2024)

Multi-disturbance Mitigation based Deadbeat Predictive Current Control for PMSM. - Junqiang Luo; Yixiao Luo; Kai Yang 016; Jincheng Yu (IECON, 2024)

SAEIR: Sequentially Accumulated Entropy Intrinsic Reward for Cooperative Multi-Agent Reinforcement Learning with Sparse Reward. - Xin He; Hongwei Ge; Yaqing Hou; Jincheng Yu (IJCAI, 2024)

High-Accuracy 2-D AoA Estimation Using Lightweight UWB Arrays. - Yi Li; Hanying Zhao; Yiman Liu; Tianyu Wang 012; Jincheng Yu; Yuan Shen 001 (IROS, 2024)

CATOA: Cooperative Calibration of Timestamp Measurements for Distributed Multi-Robot Localization. - Feiyang Wen; Hanying Zhao; Jincheng Yu; Shulin Cui; Yuan Shen 001 (IROS, 2024)

Rad-NeRF: Ray-decoupled Training of Neural Radiance Field. - Lidong Guo; Xuefei Ning; Yonggan Fu; Tianchen Zhao; Zhuoliang Kang; Jincheng Yu; Yingyan (Celine) Lin; Yu Wang 002 (NeurIPS, 2024)

Localization matters too: How localization error affects UAV flight. - Suquan Zhang; Yuanfan Xu; Shu'ang Yu; Qingmin Liao; Jincheng Yu; Yu Wang 002 (CoRR, 2024)

Mixup Augmentation with Multiple Interpolations. - Lifeng Shen; Jincheng Yu; Hansi Yang; James T. Kwok (CoRR, 2024)

Optimal Charging of Lithium-Ion Battery Using Distributionally Robust Model Predictive Control With Wasserstein Metric. - Guangzhong Dong; Zhipeng Zhu; Yunjiang Lou; Jincheng Yu; Liangcai Wu; Jingwen Wei (IEEE Trans. Ind. Informatics, 2024)

IDEA-GP: Instruction-Driven Architecture with Efficient Online Workload Allocation for Geometric Perception. - Suquan Zhang; Yu Hu; Yunfei Xiang; Dawei Zhao; Yuanfan Xu; Qingmin Liao; Jincheng Yu; Yu Wang 002 (ISCA, 2025)

SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer. - Enze Xie; Junsong Chen; Yuyang Zhao; Jincheng Yu; Ligeng Zhu; Yujun Lin 001; Zhekai Zhang; Muyang Li; Junyu Chen 003; Han Cai; Bingchen Liu; Daquan Zhou; et al. (CoRR, 2025)

SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation. - Junsong Chen; Shuchen Xue; Yuyang Zhao; Jincheng Yu; Sayak Paul; Junyu Chen 003; Han Cai; Enze Xie; Song Han 003 (CoRR, 2025)

Efficient and Hardware-Friendly Online Adaptation for Deep Stereo Depth Estimation on Embedded Robots. - Yuanfan Xu; Shuaiwen Chen; Xinting Yang; Yunfei Xiang; Jincheng Yu; Wenbo Ding 001; Jian Wang 030; Yu Wang 002 (IEEE Robotics Autom. Lett., 2025)

MR-COGraphs: Communication-Efficient Multi-Robot Open-Vocabulary Mapping System via 3D Scene Graphs. - Qiuyi Gu; Zhaocheng Ye; Jincheng Yu; Jiahao Tang; Tinghao Yi; Yuhan Dong; Jian Wang 030; Jinqiang Cui; Xinlei Chen; Yu Wang 002 (IEEE Robotics Autom. Lett., 2025)

DC-AR: Efficient Masked Autoregressive Image Generation with Deep Compression Hybrid Tokenizer. - Yecheng Wu; Junyu Chen 003; Zhuoyang Zhang; Enze Xie; Jincheng Yu; Junsong Chen; Jinyi Hu; Yao Lu 006; Song Han 003; Han Cai (CoRR, 2025)

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges. - Haoran Lu; Luyang Fang; Ruidong Zhang; Xinliang Li; Jiazhang Cai; Huimin Cheng; Lin Tang; Ziyu Liu; Zeliang Sun; Tao Wang; Yingchuan Zhang; Arif Hassan Zidan; et al. (CoRR, 2025)

Complex-Vector Flux-Linkage Envelope Demodulation for High-Speed Resolver-to-Digital Conversion System. - Wenyuan Mi; Jincheng Yu; Fei Zhao; Guangzhong Dong; Hang Zhao (IEEE Trans. Ind. Electron., 2025)