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张继勇

职称:研究员

毕业院校:瑞士洛桑联邦理工大学

邮件:jzhang@hdu.edu.cn

办公地点:

职务:

研究方向: 人工智能,机器学习

个人简介
教育经历
  • 博士    2004-02至2008-04    瑞士洛桑联邦理工学院(EPFL)

  • 硕士    1999-09至2001-07    清华大学计算机科学与技术系

  • 本科    1994-09至1999-07    清华大学计算机科学与技术系


工作经历
社会职务
研究领域
教学与课程
横向科研
纵向科研
  • 国家自然科学基金委员会, 重点项目, 61931008, 端云协同视频智能计算方法与芯片架构研究, 2020-01 至 2024-12, 参与

  • 国家自然科学基金委员会, 国家重大科研仪器研制项目, 31927801, 联合OCT/ODT层析成像监控的细胞 3D打印装置的研制, 2020-01 至 2024-12, 参与

  • 国家科技部, 国家重点研发计划项目, 2021YFA0715202, 多源卫星数据在轨智能融合理论与方法, 2021-12 至 2026-11, 参与

  • 浙江省科学技术厅, “尖兵”研发攻关计划, 2023C01046, 面向元宇宙基础视觉算法能力的人工智能 模型算法平台, 2023-01 至 2025-12, 主持

  • 浙江省自然科学基金委员会, 重点项目, LZ22F020003, 多模数据融合的冠状病毒感染智能防诊析关键 技术研究, 2022-01 至 2024-12, 主持

  • 浙江省科学技术厅, “尖兵”研发攻关计划, 2022C01068, 嵌入式硬件与智能模型互感知的紧致编译 与快速部署工具, 2022-01 至 2024-12,  参与

论文

1.     Liuxin Bao, Xiaofei Zhou, Bolun Zheng, Haibing Yin, Zunjie Zhu, Jiyong Zhang, and Chenggang Yan. “Aggregating transformers and CNNs for salient object detection in optical remote sensing images”. In: “Neurocomputing” 553 (2023), p. 126560.

2.     Jiannan Chen, Yu Liu, Xueqian Wang, Yiming Zhang, Zhizhuo Jiang, Gang Li, Bolun Zheng, Jiyong Zhang, and You He. “Caps-SSENet: An Improved Estimation Method for SAR Ship Size”. In: “IEEE Geosci. Remote. Sens. Lett.” 20 (2023), pp. 1–5.

3.     Chengtao Lv, Xiaofei Zhou, Bin Zhu, Deyang Liu, Bolun Zheng, Jiyong Zhang, and Chenggang Yan. “SRI-Net: Similarity retrieval-based inference network for light field salient object detection”. In: “J. Vis. Commun. Image Represent.” 90 (2023), p. 103721.

4.     Bin Wan, Xiaofei Zhou, Bin Zhu, Mang Xiao, Yaoqi Sun, Bolun Zheng, Jiyong Zhang, and Chenggang Yan. “CANet: Context-aware Aggregation Network for Salient Object Detection of Surface Defects”. In: “J. Vis. Commun. Image Represent.” 93 (2023), p. 103820.

5.     Xiaofei Zhou, Weipeng Cao, Hanxiao Gao, Zhong Ming, and Jiyong Zhang. “STI-Net: Spatiotemporal integration network for video saliency detection”. In: “Inf. Sci.” 628 (2023), pp. 134–147.

6.     Xiaofei Zhou, Kunye Shen, Li Weng, Runmin Cong, Bolun Zheng, Jiyong Zhang, and Chenggang Yan. “Edge-Guided Recurrent Positioning Network for Salient Object Detection in Optical Remote Sensing Images”. In: “IEEE Trans. Cybern.” 53 (2023), pp. 539–552.

7.     Weipeng Cao, Yuhao Wu, Qiang Wang, Jiyong Zhang, Xingjian Zhang, and Meikang Qiu. “A Novel RVFL-Based Algorithm Selection Approach for Software Model Checking”. In: Knowledge Science, Engineering and Management - 15th International Conference, KSEM 2022, Singapore, August 6-8, 2022, Proceedings, Part III. Ed. by G´erard Memmi, Baijian Yang, Linghe Kong, Tianwei Zhang, and Meikang Qiu. Vol. 13370. Lecture Notes in Computer Science. Springer, 2022, pp. 414–425.

8.     Yuhan Gao, Yaoqi Sun, Jinlan Bi, Shengying Wang, Jiyong Zhang, and Mang Xiao. “Therapeutic Effects of Corticosteroids for Critical and Severe COVID-19 Patients”. In: Data Mining and Big Data - 7th International Conference, DMBD 2022, Beijing, China, November 21-24, 2022, Proceedings, Part II. Ed. by Ying Tan and Yuhui Shi. Vol. 1745. Communications in Computer and Information Science. Springer, 2022, pp. 260–287.

9.     Xin He, Guohao Ying, Jiyong Zhang, and Xiaowen Chu. “Evolutionary Multi-objective Architecture Search Framework: Application to COVID19 3D CT Classification”. In: Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 - 25th International Conference, Singapore, September 18-22, 2022, Proceedings, Part I. Ed. by Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, and Shuo Li. Vol. 13431. Lecture Notes in Computer Science. Springer, 2022, pp. 560–570.

10.  Wenchao Li, Jiaqi Zhao, Chenyu Shen, Jingwen Zhang, Ji Hu, Mang Xiao, Jiyong Zhang, and Minghan Chen. “Regional Brain Fusion: Graph Convolutional Network for Alzheimer’s Disease Prediction and Analysis”. In: “Frontiers Neuroinformatics” 16 (2022), p. 886365.

11.  Kunye Shen, Xiaofei Zhou, Bin Wan, Ran Shi, and Jiyong Zhang. “Fully Squeezed Multiscale Inference Network for Fast and Accurate Saliency Detection in Optical Remote-Sensing Images”. In: “IEEE Geosci. Remote. Sens. Lett.” 19 (2022), pp. 1–5.

12.  Qiang Wang, Xinlei Zheng, Jiyong Zhang, and Joseph Sifakis. “A hybrid controller for safe and efficient longitudinal collision avoidance control”. In: “J. Syst. Archit.” 125 (2022), p. 102432.

13.  Tingyu Wang, Zhedong Zheng, Chenggang Yan, Jiyong Zhang, Yaoqi Sun, Bolun Zheng, and Yi Yang. “Each Part Matters: Local Patterns Facilitate Cross-View Geo-Localization”. In: “IEEE Trans. Circuits Syst. Video Technol.” 32 (2022), pp. 867–879.

14.  Chenggang Yan, Lixuan Meng, Liang Li, Jiehua Zhang, Zhan Wang, Jian Yin, Jiyong Zhang, Yaoqi Sun, and Bolun Zheng. “Age-Invariant Face Recognition by Multi-Feature Fusionand Decomposition with Self-attention”. In: “ACM Trans. Multim. Comput. Commun. Appl.” 18 (2022), 29:1– 29:18.

15.  Jiyong Zhang, Xin Liu, and Xiaofei Zhou. “Towards Non-Linear Social Recommendation Using Gaussian Process”. In: “IEEE Access” 10 (2022), pp. 6028–6041.

16.  Bolun Zheng, Quan Chen, Shanxin Yuan, Xiaofei Zhou, Hua Zhang, Jiyong Zhang, Chenggang Yan, and Gregory G. Slabaugh. “Constrained Predictive Filters for Single Image Bokeh Rendering”. In: “IEEE Trans. Computational Imaging” 8 (2022), pp. 346–357.

17.  Bolun Zheng, Shanxin Yuan, Chenggang Yan, Xiang Tian, Jiyong Zhang, Yaoqi Sun, Lin Liu, Ales Leonardis, and Gregory G. Slabaugh. “Learning Frequency Domain Priors for Image Demoireing”. In: “IEEE Trans. Pattern Anal. Mach. Intell.” 44 (2022), pp. 7705–7717.

18.  Jinkai Zheng, Xinchen Liu, Xiaoyan Gu, Yaoqi Sun, Chuang Gan, Jiyong Zhang, Wu Liu, and Chenggang Yan. “Gait Recognition in the Wild with Multi-hop Temporal Switch”. In: MM ’22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10 - 14, 2022. Ed. by Jo˜ao Magalh˜aes, Alberto Del Bimbo, Shin’ichi Satoh, Nicu Sebe, Xavier Alameda-Pineda, Qin Jin, Vincent Oria, and Laura Toni. ACM, 2022, pp. 6136–6145.

19.  Jinkai Zheng, Xinchen Liu, Xiaoyan Gu, Yaoqi Sun, Chuang Gan, Jiyong Zhang, Wu Liu, and Chenggang Yan. “Gait Recognition in the Wild with Multi-hop Temporal Switch”. In: “CoRR” abs/2209.00355 (2022).

20.  Xiaofei Zhou, Hao Fang, Zhi Liu, Bolun Zheng, Yaoqi Sun, Jiyong Zhang, and Chenggang Yan. “Dense Attention-Guided Cascaded Network for Salient Object Detection of Strip Steel Surface Defects”. In: “IEEE Trans. Instrum. Meas.” 71 (2022), pp. 1–14.

21.  Xiaofei Zhou, Kunye Shen, Zhi Liu, Chen Gong, Jiyong Zhang, and Chenggang Yan. “Edge-Aware Multiscale Feature Integration Network for Salient Object Detection in Optical Remote Sensing Images”. In: “IEEE Trans. Geosci. Remote. Sens.” 60 (2022), pp. 1–15.

22.  Xiaofei Zhou, Hongfa Wen, Ran Shi, Haibing Yin, Jiyong Zhang, and Chenggang Yan. “FANet: Feature aggregation network for RGBD saliency detection”. In: “Signal Process. Image Commun.” 102 (2022), p. 116591.

23.  Yiming Cui, Xin Liu, Hongmin Liu, Jiyong Zhang, Alina Zare, and Bin Fan. “Geometric attentional dynamic graph convolutional neural networks for point cloud analysis”. In: “Neurocomputing” 432 (2021), pp. 300–310.

24.  Bin Fan, Hongmin Liu, Hui Zeng, Jiyong Zhang, Xin Liu, and Junwei Han. “Deep Unsupervised Binary Descriptor Learning Through Locality Consistency and Self Distinctiveness”. In: “IEEE Trans. Multim.” 23 (2021), pp. 2770–2781. 

25.  Xin He, Shihao Wang, Xiaowen Chu, Shaohuai Shi, Jiangping Tang, Xin Liu, Chenggang Yan, Jiyong Zhang, and Guiguang Ding. “Automated Model Design and Benchmarking of Deep Learning Models for COVID-19 Detection with Chest CT Scans”. In: Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021. AAAI Press, 2021, pp. 4821–4829.

26.  Ji Hu, Chenggang Yan, Xin Liu, Zhiyuan Li, Chengwei Ren, Jiyong Zhang, Dongliang Peng, and Yi Yang. “An integrated classification model for incremental learning”. In: “Multim. Tools Appl.” 80 (2021), pp. 17275– 17290.

27.  Ji Hu, Chenggang Yan, Jiyong Zhang, Dongliang Peng, Chengwei Ren, and Shengying Yang. “An Improved Online Multiclass Classification Algorithm Based on Confidence-Weighted”. In: “IEICE Trans. Inf. Syst.” 104-D (2021), pp. 840–849.

28.  Xiang Tian, Bolun Zheng, Shengyu Li, Chenggang Yan, Jiyong Zhang, Yaoqi Sun, Tao Shen, and Mang Xiao. “Hard parameter sharing for compressing dense-connection-based image restoration network”. In: “J. Electronic Imaging” 30 (2021).

29.  Chaoyi Wang, Liang Li, Chenggang Yan, Zhan Wang, Yaoqi Sun, and Jiyong Zhang. “Cross-modal semantic correlation learning by Bi-CNN network”. In: “IET Image Process.” 15 (2021), pp. 3674–3684.

30.  Hongfa Wen, Chenggang Yan, Xiaofei Zhou, Runmin Cong, Yaoqi Sun, Bolun Zheng, Jiyong Zhang, Yongjun Bao, and Guiguang Ding. “Dynamic Selective Network for RGB-D Salient Object Detection”. In: “IEEE Trans. Image Process.” 30 (2021), pp. 9179–9192.

31.  Jiehua Zhang, Liang Li, Chenggang Yan, Yaoqi Sun, Tao Shen, Jiyong Zhang, and Zhan Wang. “Heuristic Depth Estimation with Progressive Depth Reconstruction and Confidence-Aware Loss”. In: MM ’21: ACM Multimedia Conference, Virtual Event, China, October 20 - 24, 2021. Ed. by Heng Tao Shen, Yueting Zhuang, John R. Smith, Yang Yang, Pablo César, Florian Metze, and Balakrishnan Prabhakaran. ACM, 2021, pp. 2252–2261.

32.  Jingjing Zhang, Lin Yang, Xianming Gao, Gaigai Tang, Jiyong Zhang, and Qiang Wang. “Formal Analysis of QUIC Handshake Protocol Using Symbolic Model Checking”. In: “IEEE Access” 9 (2021), pp. 14836–14848.

33.  Jiyong Zhang, Xin Liu, Xiaofei Zhou, and Xiaowen Chu. “Leveraging graph neural networks for point-of-interest recommendations”. In: “Neurocomputing” 462 (2021), pp. 1–13.

34.  Jinkai Zheng, Xinchen Liu, Chenggang Yan, Jiyong Zhang, Wu Liu, Xiaoping Zhang, and Tao Mei. “TraND: Transferable Neighborhood Discovery for Unsupervised Cross-Domain Gait Recognition”. In: IEEE International Symposium on Circuits and Systems, ISCAS 2021, Daegu, South Korea, May 22-28, 2021. IEEE, 2021, pp. 1–5.

35.  Xiaofei Zhou, Hao Fang, Xiaobo Fei, Ran Shi, and Jiyong Zhang. “EdgeAware Multi-Level Interactive Network for Salient Object Detection of Strip Steel Surface Defects”. In: “IEEE Access” 9 (2021), pp. 149465– 149476.

36.  唐江平, 周晓飞, 贺鑫, 褚晓文, 李世锋, 常庆蕊, and 张继勇. “基于深度
学习的新型冠状病毒肺炎诊断研究综述”. In: “计算机工程” 47:1 (2021),
pp. 1–15.

37.  Weipeng Cao, Pengfei Yang, Zhong Ming, Shubin Cai, and Jiyong Zhang. “An Improved Fuzziness based Random Vector Functional Link Network for Liver Disease Detection”. In: 6th IEEE International Conference on Big Data Security on Cloud, IEEE International Conference on High Performance and Smart Computing, and IEEE International Conference on Intelligent Data and Security, BigDataSecurity/HPSC/IDS 2020, Baltimore, MD, USA, May 25-27, 2020. IEEE, 2020, pp. 42–48.

38.  Weipeng Cao, Cong Zhou, Yuhao Wu, Zhong Ming, Zhiwu Xu, and Jiyong Zhang. “Research Progress of Zero-Shot Learning Beyond Computer Vision”. In: Algorithms and Architectures for Parallel Processing - 20th International Conference, ICA3PP 2020, New York City, NY, USA, October 2-4, 2020, Proceedings, Part II. Ed. by Meikang Qiu. Vol. 12453. Lecture Notes in Computer Science. Springer, 2020, pp. 538–551.

39.  Yuwei He, Xiaoming Jin, Guiguang Ding, Yuchen Guo, Jungong Han, Jiyong Zhang, and Sicheng Zhao. “Heterogeneous Transfer Learning with Weighted Instance-Correspondence Data”. In: The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020. AAAI Press, 2020, pp. 4099–4106.

40.  Zhikun Huang, Zhedong Zheng, Chenggang Yan, Hongtao Xie, Yaoqi Sun, Jianzhong Wang, and Jiyong Zhang. “Real-World Automatic Makeup via Identity Preservation Makeup Net”. In: Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI 2020. Ed. by Christian Bessiere. ijcai.org, 2020, pp. 652–658.

41.  Zhanqiang Huo, Yanqi Zhang, Hongmin Liu, Jing Wang, Xin Liu, and Jiyong Zhang. “Improved covariant local feature detector”. In: “Pattern Recognit. Lett.” 135 (2020), pp. 1–7.

42.  Wenchao Li, Xin Liu, Chenggang Yan, Guiguang Ding, Yaoqi Sun, and Jiyong Zhang. “STS: Spatial-Temporal-Semantic Personalized Location Recommendation”. In: “ISPRS Int. J. Geo Inf.” 9 (2020), p. 538.

43.  Xunkai Li, Youpeng Hu, Yaoqi Sun, Ji Hu, Jiyong Zhang, and Meixia Qu. “A Deep Graph Structured Clustering Network”. In: “IEEE Access” 8 (2020), pp. 161727–161738.

44.  Dongfang Liu, Yiming Cui, Yingjie Victor Chen, Jiyong Zhang, and Bin Fan. “Video object detection for autonomous driving: Motion-aid feature calibration”. In: “Neurocomputing” 409 (2020), pp. 1–11.

45.  Xin Liu, Jiyong Zhang, and Chenggang Yan. “Towards context-aware collaborative filtering by learning context-aware latent representations”. In: “Knowl. Based Syst.” 199 (2020), p. 105988.

46.  Ye Liu, Weipeng Cao, Zhong Ming, Qiang Wang, Jiyong Zhang, and Zhiwu Xu. “Ensemble Neural Networks with Random Weights for Classification Problems”. In: ACAI 2020: 3rd International Conference on Algorithms, Computing and Artificial Intelligence, Sanya, China, December, 2020. ACM, 2020, 15:1–15:5.

47.  Liang Pan, Xiaofei Zhou, Ran Shi, Jiyong Zhang, and Chenggang Yan. “Cross-modal feature extraction and integration based RGBD saliency detection”. In: “Image Vis. Comput.” 101 (2020), p. 103964.

48.  Jiayi Sun, Liang Li, Wenchao Li, Jiyong Zhang, and Chenggang Yan. “Enabling 5G: sentimental image dominant graph topic model for crossmodality topic detection”. In: “Wirel. Networks” 26 (2020), pp. 1549– 1561.

49.  Wang Tu, Xin Jin, Lingjun Li, Chenggang Yan, Yaoqi Sun, Mang Xiao, Weidong Han, and Jiyong Zhang. “Efficient Content Adaptive Plenoptic Video Coding”. In: “IEEE Access” 8 (2020), pp. 5797–5804.

50.  Chenghao Wei, Jiyong Zhang, Timur Valiullin, Weipeng Cao, Qiang Wang, and Hao Long. “Distributed and Parallel Ensemble Classification for Big Data Based on Kullback-Leibler Random Sample Partition”. In: Algorithms and Architectures for Parallel Processing - 20th International Conference, ICA3PP 2020, New York City, NY, USA, October 2-4, 2020, Proceedings, Part I. Ed. by Meikang Qiu. Vol. 12452. Lecture Notes in Computer Science. Springer, 2020, pp. 448–464.

51.  Yihan Wu, Jitong Wei, Jian Yin, Xin Liu, and Jiyong Zhang. “Deep Collaborative Filtering Based on Outer Product”. In: “IEEE Access” 8 (2020), pp. 85567–85574.

52.  Zhongwu Xie, Weipeng Cao, Xizhao Wang, Zhong Ming, Jingjing Zhang, and Jiyong Zhang. “A Biologically Inspired Feature Enhancement Framework for Zero-Shot Learning”. In: 7th IEEE International Conference on Cyber Security and Cloud Computing, CSCloud 2020 / 6th IEEE International Conference on Edge Computing and Scalable Cloud, EdgeCom 2020, New York City, NY, USA, August 1-3, 2020. IEEE, 2020, pp. 120– 8 125.

53.  Tongkun Xu, Xin Zhao, Jiamin Hou, Jiyong Zhang, Xinhong Hao, and Jian Yin. “A General Re-Ranking Method Based On Metric Learning For Person Re-Identification”. In: IEEE International Conference on Multimedia and Expo, ICME 2020, London, UK, July 6-10, 2020. IEEE, 2020, pp. 1–6.

54.  Yirong Yang, Bin Fan, Yongcheng Liu, Hua Lin, Jiyong Zhang, Xin Liu, Xinyu Cai, Shiming Xiang, and Chunhong Pan. “Deep Space Probing for Point Cloud Analysis”. In: 25th International Conference on Pattern Recognition, ICPR 2020, Virtual Event / Milan, Italy, January 10-15, 2021. IEEE, 2020, pp. 10235–10242.

55.  Xiaofei Zhou, Gongyang Li, Chen Gong, Zhi Liu, and Jiyong Zhang. “Attention-guided RGBD saliency detection using appearance information”. In: “Image Vis. Comput.” 95 (2020), p. 103888.

56.  Weipeng Cao, Zhong Ming, Zhiwu Xu, Jiyong Zhang, and Qiang Wang. “Online Sequential Extreme Learning Machine With Dynamic Forgetting Factor”. In: “IEEE Access” 7 (2019), pp. 179746–179757.

57.  Yuchen Guo, Guiguang Ding, Jungong Han, Chenggang Yan, Jiyong Zhang, and Qionghai Dai. “Landmark Selection for Zero-shot Learning”. In: Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019. Ed. by Sarit Kraus. ijcai.org, 2019, pp. 2435–2441.

58.  Ji Hu, Chenggang Yan, Xin Liu, Jiyong Zhang, Dongliang Peng, and Yi Yang. “Truncated Gradient Confidence-Weighted Based Online Learning for Imbalance Streaming Data”. In: IEEE International Conference on Multimedia and Expo, ICME 2019, Shanghai, China, July 8-12, 2019. IEEE, 2019, pp. 133–138.

59.  Fei Mi, Minlie Huang, Jiyong Zhang, and Boi Faltings. “Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems”. In: Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10- 16, 2019. Ed. by Sarit Kraus. ijcai.org, 2019, pp. 3151–3157.

60.  Hongfa Wen, Xin Liu, Chenggang Yan, Linhua Jiang, Yaoqi Sun, Jiyong Zhang, and Haibing Yin. “Leveraging Multiple Implicit Feedback for Personalized Recommendation with Neural Network”. In: Proceedings of the 2019 International Conference on Artificial Intelligence and Advanced Manufacturing, AIAM 2019, Dublin, Ireland, October 17-19, 2019. ACM, 2019, 6:1–6:6. (Best paper award)

61.  Hongfa Wen, Xiaofei Zhou, Yaoqi Sun, Jiyong Zhang, and Chenggang Yan. “Deep fusion based video saliency detection”. In: “J. Vis. Commun. Image Represent.” 62 (2019), pp. 279–285.


著作
专利成果
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荣誉及奖励
软件成果