Personal information
  • Gender:Male
  • Education Level:Graduate student graduate
  • Alma Mater:Shanghai Jiao Tong University
  • Degree:Doctorate
  • Status:在岗
  • School/Department:College Computer Science
  • Date of Employment:2005-03-07
  • Administrative Position:Dean
  • Discipline:Computer science and technology Mathematics and Applied Mathematics
  • Contact Information:zhonglong@zjnu.edu.cn
  • E-Mail:
Other Contact Information
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Personal Profile

Zhonglong Zheng is currently the dean of the school of computer science in Zhejiang Normal University.He obtained his Ph.D from Shanghai Jiaotong University in 2005. He was a visiting professor in University of California, Merced from 2012 to 2013 under the supervision of Professor MingHsuan Yang. His main research interests include machine learning, computer vision, AIOT and blockchain. He has published some papers in IJCV,TVCG,ToN,TMM,TCSVT,ICML,AAAI,ICDE,ACM MM,INFOCOM and etc..

Part of Publications (Corresponding Author, 2020-):

(1) C Yang, Q Yu, H Wei, F Wu, Y Jiang, Z Zheng, M Yang. A Fast and Lightweight 3D Keypoint Detector. International Journal of Computer Vision, 2025 (CCF A)

(2) Z Liao, S Qian, Z Zheng, J Cao, G Xue, Minglu Li. AWB+-Tree: A Novel Width-based Index Structure Supporting Hybrid Matching for Large-scale Content-based Pub/Sub Systems. IEEE Transactions on Parallel and Distributed Systems, 2025 (CCF A)

(3) C Yang, Y Chen, Q Yu, H Wei, F Wu, Z Zheng. Hierarchical Point Saliency for 3D Keypoint Detection. IEEE Transactions on Visualization and Computer Graphics, 2025 (CCF A)

(4) R Li, D Zhang, Y Wang, Y Jiang, Z Zheng, SW Jeon, H Wang. Open-Vocabulary Multi-Object Tracking with Domain Generalized and Temporally Adaptive Features. IEEE Transactions on Multimedia, 2025 

(5) L Chen, W Liu, H Wang, SW Jeon, Y Jiang, Z Zheng. Consistency-Guided Adaptive Alternating Training for Semi-Supervised Salient Object Detection. IEEE Transactions on Circuits and Systems for Video Technology, 2025 

(6) L Chen, D Zhang, X Wang, C Wan, S Jin, Z Zheng. A complementary dual model for weakly supervised salient object detection. Pattern Recognition, 2025 

(7) Z Liao, S Qian, Z Zheng, J Zhang, J Cao, G Xue, M Li. DBTable: Leveraging Discriminative Bitsets for High-performance Packet Classification. IEEE/ACM Transactions On Networking, 2024 (CCF A)

(8) R Jia , Q Fu , Z Zheng, G Zhang , Minglu Li. Energy and Time Trade-Off Optimization for Multi-UAV Enabled Data Collection of IoT Devices. IEEE/ACM Transactions on Networking, 2024 (CCF A)

(9) C Wan, M Yang, M Li, Y Jiang, Z Zheng. Nested Annealed Training Scheme for Generative Adversarial Networks. IEEE Transactions on Circuits and Systems for Video Technology, 2024 

(10) R Khan, A Mehmood, F Shahid, Z Zheng, MM Ibrahim. Lit me up: A reference free adaptive low light image enhancement for in-the-wild conditions. Pattern Recognition, 2024 

(11) M Liu, V Palade, Z Zheng. Learning the consensus and complementary information for large-scale multi-view clustering. Neural Networks,  2023 

(12) Z Liao, S Qian, Z Zheng, J Zhang, J Cao, G Xue, M Li. PT-Tree: A Cascading Prefix Tuple Tree for Packet Classification in Dynamic Scenarios. IEEE/ACM Transactions on Networking, 2023(CCF A)

(13) R Khan, Y Yang, K Wu, A Mehmood, ZH Qaisar, Z Zheng. A high dynamic range imaging method for short exposure multiview images. Pattern Recognition, 2023  

(14) Z Bao, C Tang, F Lin, Z Zheng, X Yu. Rating-protocol optimization for blockchain-enabled hybrid energy trading in smart grids. Science China Information Sciences, 2023(CCF A)

(15) R Jia, J Wu, X Wang, J Lu, F Lin, Z Zheng, M Li. Energy cost minimization in wireless rechargeable sensor networks. IEEE/ACM Transactions on Networking, 2023 (CCF A)

(16) R Jia, J Wu, J Lu, M Li, F Lin, Z Zheng. Energy saving in heterogeneous wireless rechargeable sensor networks. IEEE INFOCOM, 2022 (CCF A)

(17) D Zhang, Y Fu, Z Zheng. UAST: uncertainty-aware siamese tracking. ICML, 2022 (CCF A)

(18) L Wang, M Zareapoor, J Yang, Z Zheng. Asymmetric correlation quantization hashing for cross-modal retrieval. IEEE Transactions on Multimedia, 2022 

(19) D Zhang, Z Zheng, R Jia, M Li. Visual tracking via hierarchical deep reinforcement learning. AAAI, 2021(CCF A)

(20) D Zhang, Z Zheng, M Li, X He, T Wang, L Chen, R Jia, F Lin. Reinforced similarity learning: Siamese relation networks for robust object tracking. ACM MM, 2020 (CCF A)



Research Focus
  • .Machine Learning and Computer Vision
  • .IOT
  • .BlockChain
Work experience

No content

Educational background
  • Shanghai Jiaotong University
Social Affiliations
  • 浙江省高校计算机教育研究会 副理事长
Research Group
机器学习与视觉
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Doctorate

Zhonglong
MOBILE Version