论文专利 - AI Lab PKUAI Lab PKU

Zhaotong Zhang, Yi Zhong, Yingying Cui, Yawei Ding, Yukun Xue, Qibin Li, Ruining Yang, Jian Cao, and Yuan Wang, “An End-to-End SoC for Brain-Inspired CNN-SNN Hybrid Applications”, IEEE International Symposium on Circuits and Systems (ISCAS), 2024.
Yu Qian, Jian Cao, Xiaoshuang Li, Jie Zhang, Hufei Li, Jue Chen, “Boosting Pruned Networks With Linear Over-parameterization”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.
Weichen Xu, Jian Cao, Tianhao Fu, Awen Bai, Ruilong Ren, Zicong Hu, Xixin Cao, Xing Zhang,, “J-MAE: Jigsaw Meets Masked Autoencoders”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.
Weichen Xu, Xinxin Xu, Tianhao Fu, Jian Cao, Xiaoyang Xu, Yuetian Huang, Xixin Cao, Xing Zhang, “SweepMM: A High-Quality Multimodal Dataset for Sweeping Robots in Home Scenarios for Vision-Language Model”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.
Yuan Zhang, Weihua Chen, Yichen Lu, Tao Huang, Xiuyu Sun, Jian Cao,”Avatar Knowledge Distillation: Self-ensemble Teacher Paradigm with Uncertainty”, The ACM International Conference on Multimedia (ACM MM), 2023.
Bingsen Wang, Jian Cao, Jue Chen, Shuo Feng, Yuan Wang, “A New ANN-SNN Conversion Method with High Accuracy, Low Latency and Good Robustness”, International Joint Conference on Artificial Intelligence (IJCAI), 2023.
Tao Huang, Yuan Zhang, Shan You, Fei Wang, Chen Qian, Jian Cao, Chang Xu, “Masked Distillation with Receptive Tokens”, International Conference on Learning Representations (ICLR), 2023.
Xinyan Cao, He Yan, Changjin Li, Yongjian Zhao, Jinming Che, Wei Ren, Jinlong Lin, Jian Cao, “Design of a Multimodal Short Video Classification Model”, The International Conference on Neural Information Processing (ICONIP), 2023.
Hufei Li, Jian Cao, Xiangcheng Liu, Jue Chen, Jingjie Shang, Yu Qian, Yuan Wang, “Channel Pruning via Attention Module and Memory Curve”, International Conference on Image Processing (ICIP), 2023.
Yuan Zhang, Jian Cao, Ling Zhang, Jue Chen, Wenyu Sun, Yuan Wang, “Razor SNN: Efficient Spiking Neural Network with Temporal Embeddings”, 32nd International Conference on Artificial Neural Networks (ICANN), 2023.
Jinming Che, Jian Cao, Shuo Feng, Jue Chen, Yuan Wang, “Linear Leakage: Better Robustness for Spiking Neural Network”, International Conference on Advanced Communications Technology (ICACT), 2023.
Hongyi Yao, Pu Li, Jian Cao, Xiangcheng Liu, Chenying Xie, Bingzhang Wang, “RAPQ: Rescuing Accuracy for Power-of-two Low-bit Post-training Quantization”, International Joint Conference on Artificial Intelligence (IJCAI), 2022.
Yuan Zhang, Jian Cao, Ling Zhang, Xiangcheng Liu, Zhiyi Wang, Feng Ling, Weiqian Chen, “A Free Lunch from ViT: Adaptive Attention Multi-scale Fusion Transformer for Fine-grained Visual Recognition”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022.
Weichen Xu, Jian Cao, Tianhao Fu, Honyi Yao, Yuan Wang, “Boosting Dense Long-Tailed Object Detection from Data-Centric View”, Asian Conference on Computer Vision (ACCV), 2022.
Wenyu Sun, Jian Cao, Pengtao Xu, Xiangcheng Liu, Yuan Zhang, Yuan Wang, “An Once-for-All Budgeted Pruning Framework for ConvNets Considering Input Resolution”, IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022.
Jingjie Shang, Jian Cao, Kunchang Li, Kaibin Tian, Xing Zhang, “MVP: Robust Multi-View Practice for Driving Action Localization”, International Conference on Information Systems and Computer Aided Education (ICISCAE), 2022.
Shuo Feng, Jian Cao, Ling Zhang, Guang Chen, Juntong Yan, Feng Ling, Xiangcheng Liu, Jinming Che, Xiaoxin Cui, Yuan Wang, “Multi-patch localization Spiking Neural Network for Object Detection”, IEEE International Conference on Solid-State and Integrated Circuit Technology (ICSICT), 2022.
谢豪, 曹健, 李普, 赵雄波, 张兴, 基于FPGA的SSD目标检测硬件加速器设计, 北大学报(自然科学版), 2022.
李放, 曹健, 李普, 谢豪, 赵雄波, 张兴, 基于ARM+FPGA异构平台的目标检测加速模块设计与实现, 北大学报(自然科学版), 2022.
徐鹏涛, 曹健, 陈玮乾, 刘晟荣, 王源, 张兴, 基于离群值去除的卷积神经网络模型训练后量化预处理方法, 北大学报(自然科学版), 2022.
徐鹏涛, 曹健, 孙文宇, 李普, 王源, 张兴, 基于可融合残差卷积块的深度神经网络模型层剪枝方法, 北大学报(自然科学版), 2022.
Boyan Jiang, Jian Cao, Ying Zhang, Zhenyu Wang, “Determining the Concentration of Polycyclic Aromatic Hydrocarbons in Water Using Surface Enhanced Raman Spectroscopy and Kernel Principal Components Analysis combined with Support Vector Regression”, Journal of Applied Spectroscopy, 2021.
孙文宇, 曹健, 李普, 刘瑞, 基于全局信息的卷积神经网络模型剪枝微调优化方法, 北大学报(自然科学版), 2021.
Shuo Feng, Jian Cao, Yingbiao Luo, Zhenyuan Dai, Ying Zhang, Yuan Wang, “Compression for Text Detection and Recognition Based on Low Bit-Width Quantization”, IEEE International Conference on Signal and Image Processing (ICSIP), 2020.
Quan Zhang, Jian Cao, Shiguang Zhang, Qi Zhang, Ying Zhang, Yuan Wang, “Efficient FPGA Implementation of softmax Layer in Deep Neural Network”, IEEE International Conference on Signal and Image Processing (ICSIP), 2020.
Yangfan Yao, Jian Cao, Tao Wang, Rui Liu, Zhenyuan Dai, Haoqiang Yuan, “Efficient Implementation of Dirty Words Detection in Decision Tree Model”, IEEE International Conference on Signal and Image Processing (ICSIP), 2020.
Tao Wang, Jian Cao, Yingbiao Luo, Wenyu Sun, Ying Zhang, Yuan Wang, “Fault Tolerant Model for Redundant System Based on Health Assessment”, IEEE International Conference on Information Communication and Signal Processing (ICICSP), 2020.
Changjin Li, Jian Cao, Xing Zhang, “Design and Implementation of an Infrared Image Generative Model”, IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA), 2020.
Rui Liu, Jian Cao, Pu Li, Wenyu Sun, Ying Zhang, Yuan Wang, “NFP: A No Fine-tuning Pruning Approach for Convolutional Neural Network Compression”, International Conference on Artificial Intelligence and Big Data (ICAIBD), 2020.
Shiguang Zhang, Jian Cao, Quan Zhang, Qi Zhang, Ying Zhang, Yuan Wang, “An FPGA-Based Reconfigurable CNN Accelerator for YOLO”, IEEE International Conference on Electronics Technology (ICET), 2020.
Zili Tang, Aishan Maoliniyazi, Jian Cao, Improving Flare Detection via Masked Difference Prediction, International Conference on Information Technology and Computer Application (ITCA), 2020.
赵帅华, 李言言, 曹健, 曹喜信, 基于BFGS修正的高斯牛顿光束法平差解算方法, 北大学报(自然科学版), 2020.
Ying Zhang, Qian Zhao, Leiyan Tao, Jian Cao, Minfeng Wei, Xing Zhang, “A Real-time Online Aircraft Neural Network System”, IEEE International Workshop on Future Computing (IWOFC), 2019.
Qi Zhang, Jian Cao, Ying Zhang, Shiguang Zhang, Quan Zhang, Dunshan Yu, “FPGA Implementation of Quantized Convolutional Neural Networks”, IEEE International Conference on Communication Technology (ICCT), 2019.
Pingchen Wu, Jian Cao, Josh Yang, “A Novel Level Shifter for Practical IoT Applications”, IEEE International Conference on Applied System Invention (ICASI), 2018.
Hao Qin, May Huang, Jian Cao, Xing Zhang, “Loop closure detection in SLAM by combining visual CNN features and submaps”, International Conference on Control, Automation and Robotics (ICCAR), 2018.
曹鑫, 曹健, 王艺泽, 王源, 张兴, 一种改进的基于人体静电冲击模型应力的瞬态功率模型, 北大学报(自然科学版), 2018.
Yukuai Chen, Jian Cao, Zhang Qihui, Yuan Wang, Xing Zhang, “A Novel Equivalent Circuit Model of the Surge Wave Generator”, IEEE International Conference on ASIC (ASICON), 2017.
Ming Li, Hao Qin, May Huang, Jian Cao, Xing Zhang, “RGB-D image-based pose estimation with Monte Carlo localization”, International Conference on Control, Automation and Robotics (ICCAR), 2017.