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Resume (English only)
Academic Achievements
Published numerous papers in IEEE/ACM journals and CCF A/B conferences, such as:
- 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, Corresponding Author)
- L Chen, MH Yang, J Pu, Z Zheng. TripleNet: Exploiting Complementary Features and Pseudo-Labels for Semi-Supervised Salient Object Detection. IEEE Transactions on Image Processing, 2025 (CCF A, Corresponding Author)
- C Yang, W Lyu, Q Yu, Y Jiang, Z Zheng. PCSS: 3D Keypoint Detection for Point Clouds Using Structural Saliency. IEEE Transactions on Image Processing, 2025 (CCF A, Corresponding Author)
- 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, Corresponding Author)
- 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, Corresponding Author)
- Y Ge, H Wang, E Bertino, J Cao, Y Zhang, Z Zheng. Distributed Bandit-Based Cooperative Coevolution for Large-Scale Multi-Objective Data Publishing. IEEE Transactions on Services Computing, 2025 (CCF A, Corresponding Author)
- X Hao, X Li, H Wang, Z Zheng, Y Jiang, Y Zhang. ITCoHD-MRec: An Independent Topological Preference Aware and Cooperative Hypergraph Diffusion based Multimodal Recommender Model. ACM Transactions on Information Systems, 2025 (CCF A)
- B Nian, F Tang, J Ding, J Yang, Z Zheng, S K Zhou, W Liu. SRS: Siamese Reconstruction-Segmentation Network based on Dynamic-Parameter Convolution. IEEE Transactions on Image Processing, 2025 (CCF A)
- Y Wang, C Huang, M Li, T Cai, Z Zheng, X Huang. All roads lead to Rome: Exploring edge distribution shifts for heterophilic graph learning. IJCAI, 2025 (CCF A)
- J Yin, P Wang, S Sun, Z Zheng. Incomplete Multi-View Clustering via Multi-Level Contrastive Learning. IEEE Transactions on Knowledge and Data Engineering, 2025 (CCF A)
- Y Xie, C Tang, Z Chen, J Lai, Z Zheng, Yu Xinghuo. Towards Proof-of-Prospect consensus mechanism for maximizing consumers’ satisfaction in distributed energy systems. Science China Information Sciences, 2025 (CCF A)
- 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, Corresponding Author)
- 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, Corresponding Author)
- X Zhang, R Jia, Q Yin, Z Zheng, M Li. Intelligent trajectory design and charging scheduling in wireless rechargeable sensor networks with obstacles. IEEE Transactions on Mobile Computing, 2024 (CCF A)
- 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, Corresponding Author)
- 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, Corresponding Author)
- 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, Corresponding Author)
- 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, Corresponding Author)
- D Zhang, Y Fu, Z Zheng. UAST: uncertainty-aware siamese tracking. ICML, 2022 (CCF A, Corresponding Author)
Research Experience
Dean of the School of Computer Science (School of Artificial Intelligence) at Zhejiang Normal University. Has led multiple National Natural Science Foundation projects.
Education
Received Ph.D. from Shanghai Jiao Tong University in 2005 (Advisor: Prof. Jie Yang), Visiting Scholar at the University of California (Advisor: Prof. MingHsuan Yang), and Zhejiang University (Advisor: Prof. YueTing Zhuang).
Background
Ph.D., Professor, Doctoral Supervisor. Research interests include machine learning, computer vision, the Internet of Things, and blockchain.