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个人简介

工作经历 2014-至今,华东师范大学 2013-2014,美国加州大学 圣芭芭拉分校 博后 教育经历 2007-2013,北京大学 博士学位,计算机学院,数据科学与工程研究所(原网络所) 2003-2007,南开大学 本科,计算机系

研究领域

大数据系统和知识工程

近期论文

查看导师新发文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

Zhenxiang Xiao, Yuzhong Chen, Junjie Yao, Lu Zhang, Zhengliang Liu, Zihao Wu, Xiaowei Yu, Yi Pan, Lin Zhao, Chong Ma, Xinyu Liu, Wei Liu, Xiang Li, Yixuan Yuan, Dinggang Shen, Dajiang Zhu, Dezhong Yao, Tianming Liu, Xi Jiang: Instruction-ViT: Multi-modal prompts for instruction learning in vision transformer. Inf. Fusion 104: 102204 (2024) Tri Vu, Paul Klippel, Aidan J. Canning, Chenshuo Ma, Huijuan Zhang, Ludmila A. Kasatkina, Yuqi Tang, Jun Xia, Vladislav V. Verkhusha, Tuan Vo-Dinh, Yun Jing, Junjie Yao: On the Importance of Low-Frequency Signals in Functional and Molecular Photoacoustic Computed Tomography. IEEE Trans. Medical Imaging 43(2): 771-783 (2024) Zhi-Qin John Xu, Junjie Yao, Yuxiao Yi, Liangkai Hang, Weinan E, Yaoyu Zhang, Tianhan Zhang: Solving multiscale dynamical systems by deep learning. CoRR abs/2401.01220 (2024) Zhongwang Zhang, Zhiwei Wang, Junjie Yao, Zhangchen Zhou, Xiaolong Li, Weinan E, Zhi-Qin John Xu: Anchor function: a type of benchmark functions for studying language models. CoRR abs/2401.08309 (2024) Huaiyu Wu, Yuqi Tang, Bohua Zhang, Paul Klippel, Yun Jing, Junjie Yao, Xiaoning Jiang: Miniaturized Stacked Transducer for Intravascular Sonothrombolysis With Internal-Illumination Photoacoustic Imaging Guidance and Clot Characterization. IEEE Trans. Biomed. Eng. 70(8): 2279-2288 (2023) Hao Lin, Junjie Yao: Transformer Based Driving Behavior Safety Prediction for New Energy Vehicles. ADMA (1) 2023: 646-660 Xin Lyu, Junjie Yao, Tao Zeng, Xinyuan Wang, Shangjing Chen, Jiale Chen, Caifeng Wu, Xin Li: CIMNet: A Contextual Information Mining Network for Real-time Instance Segmentation. CCRIS 2023: 100-108 Yuquan Yang, Qifan Zhang, Junjie Yao: Task-Driven Neural Natural Language Interface to Database. WISE 2023: 659-673 Tianyang Zhong, Yaonai Wei, Li Yang, Zihao Wu, Zhengliang Liu, Xiaozheng Wei, Wenjun Li, Junjie Yao, Chong Ma, Xiang Li, Dajiang Zhu, Xi Jiang, Junwei Han, Dinggang Shen, Tianming Liu, Tuo Zhang: ChatABL: Abductive Learning via Natural Language Interaction with ChatGPT. CoRR abs/2304.11107 (2023) Zhenxiang Xiao, Yuzhong Chen, Lu Zhang, Junjie Yao, Zihao Wu, Xiaowei Yu, Yi Pan, Lin Zhao, Chong Ma, Xinyu Liu, Wei Liu, Xiang Li, Yixuan Yuan, Dinggang Shen, Dajiang Zhu, Tianming Liu, Xi Jiang: Instruction-ViT: Multi-Modal Prompts for Instruction Learning in ViT. CoRR abs/2305.00201 (2023) Huan Zhao, Qian Ling, Yi Pan, Tianyang Zhong, Jinyu Hu, Junjie Yao, Fengqian Xiao, Zhenxiang Xiao, Yutong Zhang, San-Hua Xu, Shi-Nan Wu, Min Kang, Zihao Wu, Zhengliang Liu, Xi Jiang, Tianming Liu, Yi Shao: Ophtha-LLaMA2: A Large Language Model for Ophthalmology. CoRR abs/2312.04906 (2023) Zhengliang Liu, Hanqi Jiang, Tianyang Zhong, Zihao Wu, Chong Ma, Yiwei Li, Xiaowei Yu, Yutong Zhang, Yi Pan, Peng Shu, Yanjun Lyu, Lu Zhang, Junjie Yao, Peixin Dong, Chao Cao, Zhenxiang Xiao, Jiaqi Wang, Huan Zhao, Shaochen Xu, Yaonai Wei, Jingyuan Chen, Haixing Dai, Peilong Wang, Hao He, Zewei Wang, Xinyu Wang, Xu Zhang, Lin Zhao, Yiheng Liu, Kai Zhang, Liheng Yan, Lichao Sun, Jun Liu, Ning Qiang, Bao Ge, Xiaoyan Cai, Shijie Zhao, Xintao Hu, Yixuan Yuan, Gang Li, Shu Zhang, Xin Zhang, Xi Jiang, Tuo Zhang, Dinggang Shen, Quanzheng Li, Wei Liu, Xiang Li, Dajiang Zhu, Tianming Liu: Holistic Evaluation of GPT-4V for Biomedical Imaging. CoRR abs/2312.05256 (2023) Huijuan Zhang, Wei Bo, Depeng Wang, Anthony DiSpirito III, Chuqin Huang, Nikhila Nyayapathi, Emily Zheng, Tri Vu, Yiyang Gong, Junjie Yao, Wenyao Xu, Jun Xia: Deep-E: A Fully-Dense Neural Network for Improving the Elevation Resolution in Linear-Array-Based Photoacoustic Tomography. IEEE Trans. Medical Imaging 41(5): 1279-1288 (2022) Mucong Li, Nathan Beaumont, Chenshuo Ma, Juan Rojas, Tri Vu, Max Harlacher, Graeme O'Connell, Ryan C. Gessner, Hailey Kilian, Ludmila A. Kasatkina, Yong Chen, Qiang Huang, Xiling Shen, Jonathan F. Lovell, Vladislav V. Verkhusha, Tomasz J. Czernuszewicz, Junjie Yao: Three-Dimensional Deep-Tissue Functional and Molecular Imaging by Integrated Photoacoustic, Ultrasound, and Angiographic Tomography (PAUSAT). IEEE Trans. Medical Imaging 41(10): 2704-2714 (2022) Chunying Li, Junjie Yao, Zhikang Tang, Yong Tang, Yanchun Zhang: The Influence of the Student's Online Learning Behaviors on the Learning Performance. APWeb/WAIM (1) 2022: 28-36 Huijuan Zhang, Wei Bo, Depeng Wang, Anthony DiSpirito III, Chuqin Huang, Nikhila Nyayapathi, Emily Zheng, Tri Vu, Yiyang Gong, Junjie Yao, Wenyao Xu, Jun Xia: Deep-e: a fully-dense neural network for improving the elevation resolution in linear-array-based photoacoustic tomography. Medical Imaging: Image Processing 2022 Mucong Li, Tri Vu, Georgii Sankin, Brenton Winship, Kohldon Boydston, Russell Terry, Pei Zhong, Junjie Yao: Internal-Illumination Photoacoustic Tomography Enhanced by a Graded-Scattering Fiber Diffuser. IEEE Trans. Medical Imaging 40(1): 346-356 (2021) Anthony DiSpirito III, Daiwei Li, Tri Vu, Maomao Chen, Dong Zhang, Jianwen Luo, Roarke Horstmeyer, Junjie Yao: Reconstructing Undersampled Photoacoustic Microscopy Images Using Deep Learning. IEEE Trans. Medical Imaging 40(2): 562-570 (2021) Jiaxiang Huang, Hao Lin, Junjie Yao: Unsafe Driving Behavior Prediction for Electric Vehicles. APWeb/WAIM (1) 2021: 80-93 Liang Xu, Junjie Yao: Iterative Reasoning over Knowledge Graph. DASFAA (1) 2021: 191-206 Junjie Yao, Zhaoyang Zhang, Xiaodan Shao, Chongwen Huang, Caijun Zhong, Xiaoming Chen: Concentrative Intelligent Reflecting Surface Aided Computational Imaging via Fast Block Sparse Bayesian Learning. VTC Spring 2021: 1-6 Mucong Li, Junjie Yao, Bangxin Lan, Georgii Sankin, Yuan Zhou, Wei Liu, Jun Xia, Depeng Wang, Gregg E. Trahey, Pei Zhong: Simultaneous Photoacoustic Imaging and Cavitation Mapping in Shockwave Lithotripsy. IEEE Trans. Medical Imaging 39(2): 468-477 (2020) Liang Xu, Junjie Yao, Yingjie Zhang: Dynamic Multi-hop Reasoning. APWeb/WAIM (1) 2020: 535-543 Qifan Zhang, Peihao Tong, Junjie Yao, Xiaoling Wang: Mutual Relation Detection for Complex Question Answering over Knowledge Graph. DASFAA (2) 2020: 623-631 Tianling Pu, Qifan Zhang, Junjie Yao, Yingjie Zhang: Medical Entity Extraction from Health Insurance Documents. ICKG 2020: 565-572 Qingquan Li, Qifan Zhang, Junjie Yao, Yingjie Zhang: Event Extraction for Criminal Legal Text. ICKG 2020: 573-580 Anthony DiSpirito III, Daiwei Li, Tri Vu, Maomao Chen, Dong Zhang, Jianwen Luo, Roarke Horstmeyer, Junjie Yao: Reconstructing undersampled photoacoustic microscopy images using deep learning. CoRR abs/2006.00251 (2020) Tri Vu, Anthony DiSpirito III, Daiwei Li, Zixuan Zhang, Xiaoyi Zhu, Maomao Chen, Dong Zhang, Jianwen Luo, Yu Shrike Zhang, Roarke Horstmeyer, Junjie Yao: Deep Image Prior for Sparse-sampling Photoacoustic Microscopy. CoRR abs/2010.12041 (2020) Peihao Tong, Qifan Zhang, Junjie Yao: Leveraging Domain Context for Question Answering Over Knowledge Graph. Data Sci. Eng. 4(4): 323-335 (2019) Jinyang Gao, Junjie Yao, Yingxia Shao: Towards Reliable Learning for High Stakes Applications. AAAI 2019: 3614-3621 Yudi Guo, Junjie Yao, Jiaxiang Huang, Yijun Chen: Data Driven Charging Station Placement. APWeb/WAIM (2) 2019: 260-267 Peihao Tong, Junjie Yao, Linzi He, Liang Xu: Leveraging Domain Context for Question Answering over Knowledge Graph. APWeb/WAIM (1) 2019: 365-381 Yi Zhao, Yanyan Shen, Junjie Yao: Recurrent Neural Network for Text Classification with Hierarchical Multiscale Dense Connections. IJCAI 2019: 5450-5456 Jinling Jiang, Xiaoming Lin, Junjie Yao, Hua Lu: Comprehensive Audience Expansion based on End-to-End Neural Prediction. eCOM@SIGIR 2019 Ning Tang, Yanyan Shen, Junjie Yao: Learning to Fuse Multiple Semantic Aspects from Rich Texts for Stock Price Prediction. WISE 2019: 65-81 Yuqi Tang, Wei Liu, Yang Li, Qifa Zhou, Junjie Yao: Concurrent photoacoustic and ultrasound microscopy with a coaxial dual-element ultrasonic transducer. Vis. Comput. Ind. Biomed. Art 1: 1-6 (2018) Junjie Zhang, Liping Wang, Wenjie Zhang, Junjie Yao: A Signal Quality Assessment Method for Electrocardiography Acquired by Mobile Device. BIBM 2018: 1-3 Yi Zhao, Yanyan Shen, Yanmin Zhu, Junjie Yao: Forecasting Wavelet Transformed Time Series with Attentive Neural Networks. ICDM 2018: 1452-1457 Yuxing Han, Junjie Yao, Xuemin Lin, Liping Wang: GALLOP: GlobAL Feature Fused LOcation Prediction for Different Check-in Scenarios. IEEE Trans. Knowl. Data Eng. 29(9): 1874-1887 (2017) Peipei Li, Junjie Yao, Liping Wang, Xuemin Lin: SPOT: Selecting occuPations frOm Trajectories. SIGIR 2017: 813-816 Yiran Xie, Hongzhi Yin, Bin Cui, Junjie Yao, Quanqing Xu: Distinguishing re-sharing behaviors from re-creating behaviors in information diffusion. World Wide Web 19(6): 1203-1230 (2016) Peihao Tong, Junjie Yao, Liping Wang, Shiyu Yang: Comprehensive Graph and Content Feature Based User Profiling. ADC 2016: 31-42 Yingqian Hou, Xinyin Wang, Liping Wang, Junjie Yao: A Peer to Peer Housing Rental System with Continuous Spatial-Keyword Searching. ADC 2016: 448-452 Liping Wang, Junjie Yao, Wenjie Zhang: A time-series similarity method for QRS morphology variation analysis. BIBM 2016: 419-426 Yiran Xie, Hongzhi Yin, Bin Cui, Junjie Yao, Quanqing Xu: Distinguishing re-sharing behaviors from re-creating behaviors in information diffusion. ICDE Workshops 2015: 174-181 Zhiting Hu, Junjie Yao, Bin Cui, Eric P. Xing: Community Level Diffusion Extraction. SIGMOD Conference 2015: 1555-1569 Zhiting Hu, Junjie Yao, Bin Cui: User Group Oriented Temporal Dynamics Exploration. AAAI 2014: 66-72 Yingxia Shao, Bin Cui, Lei Chen, Lin Ma, Junjie Yao, Ning Xu: Parallel subgraph listing in a large-scale graph. SIGMOD Conference 2014: 625-636 Junjie Yao, Jun Xia, Konstantin Maslov, Mohammadreza Nasiriavanaki, Vassiliy Tsytsarev, Alexei V. Demchenko, Lihong V. Wang: Noninvasive photoacoustic computed tomography of mouse brain metabolism in vivo. NeuroImage 64: 257-266 (2013) Chen Chen, Hongzhi Yin, Junjie Yao, Bin Cui: TeRec: A Temporal Recommender System Over Tweet Stream. Proc. VLDB Endow. 6(12): 1254-1257 (2013) Yingxia Shao, Junjie Yao, Bin Cui, Lin Ma: PAGE: a partition aware graph computation engine. CIKM 2013: 823-828 Hongzhi Yin, Bin Cui, Hua Lu, Yuxin Huang, Junjie Yao: A unified model for stable and temporal topic detection from social media data. ICDE 2013: 661-672 Xiang Wang, Lele Yu, Junjie Yao, Bin Cui: A Multiple Feature Integration Model to Infer Occupation from Social Media Records. WISE (2) 2013: 137-150 Zhiting Hu, Chong Wang, Junjie Yao, Eric P. Xing, Hongzhi Yin, Bin Cui: Community Specific Temporal Topic Discovery from Social Media. CoRR abs/1312.0860 (2013) Hongzhi Yin, Bin Cui, Jing Li, Junjie Yao, Chen Chen: Challenging the Long Tail Recommendation. Proc. VLDB Endow. 5(9): 896-907 (2012) Junjie Yao, Bin Cui, Yuxin Huang, Yanhong Zhou: Bursty event detection from collaborative tags. World Wide Web 15(2): 171-195 (2012) Junjie Yao, Bin Cui, Gao Cong, Yuxin Huang: Evolutionary taxonomy construction from dynamic tag space. World Wide Web 15(5-6): 581-602 (2012) Junjie Yao, Bin Cui, Zijun Xue, Qingyun Liu: Provenance-based Indexing Support in Micro-blog Platforms. ICDE 2012: 558-569 Junjie Yao, Bin Cui, Liansheng Hua, Yuxin Huang: Keyword Query Reformulation on Structured Data. ICDE 2012: 953-964 Dongdong Shan, Wayne Xin Zhao, Rishan Chen, Baihan Shu, Ziqi Wang, Junjie Yao, Hongfei Yan, Xiaoming Li: EventSearch: a system for event discovery and retrieval on multi-type historical data. KDD 2012: 1564-1567 Zijun Xue, Junjie Yao, Bin Cui: Temporal provenance discovery in micro-blog message streams (abstract only). SIGMOD Conference 2012: 864 Hongzhi Yin, Bin Cui, Jing Li, Junjie Yao, Chen Chen: Challenging the Long Tail Recommendation. CoRR abs/1205.6700 (2012)

学术兼职

中国计算机学会 数据库专委会 执行委员 中国人工智能学会 智能服务专委会 委员 上海开源信息技术协会 大数据专委会 副主任 上海保险学会 科技分委会 委员

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