师资队伍

Faculty
|

翁振宇 Weng,Zhenyu

  • 职称:副教授

  • 邮箱:wzytumbler@scut.edu.cn

  • 工作单位:吴贤铭智能工程学院

  • 邮政编码:510640

  • 毕业院校:北京大学

  • 办公室:D1b-408

  • 最后学位:理学博士

  • 办公电话:

  • 导师类别:硕、博导

个人简介  

翁振宇,毕业于北京大学,现任副教授(博导),聚焦人工智能(多模态数据融合等)方向相关研究,主持过国家级项目/课题2项,发表相关论文超 30 篇,一作/通讯作者文章10余篇,包括ICML、NeurIPS、CVPR、AAAI、ACM MM、IEEE Trans. PAMI、IEEE Trans. NNLS、IEEE Trans. SMC-S、IEEE Trans. CSVT、IEEE Trans. MM、Bioinformatics 等。欢迎有内驱力的同学申请和报考,也欢迎参与实验室科研活动(欢迎电邮联系)。

工作经历  

  • 2021 - 2023年   新加坡南洋理工大学博士后研究员

  • 2023 - 2024年   美国运通创新实验室数据科学经理

  • 2024 - 至 今     华南理工大学吴贤铭智能工程学院   副教授

教育经历  

  • 2009-2013年   中山大学信息科学与技术学院   本科

  • 2013-2020年   北京大学信息科学技术学院   博士

研究领域  

  • 人工智能、

  • 多模态数据融合、

  • 大语言模型与信息检索、

  • 智能安全、

  • 在线与持续学习

代表论文  

  • [1] Zhenyu Weng, Huiping Zhuang, Fulin Luo, Haizhou Li, Zhiping Lin, “Few-Shot Contrastive Transfer Learning With Pretrained Model for Masked Face Verification”, IEEE Transactions on Multimedia, vol. 26, pp. 3871-3883, 2024.

  • [2] Zhenyu Weng, Huiping Zhuang, Haizhou Li, Balakrishnan Ramalingam, Rajesh Elara Mohan, Zhiping Lin, “Online Multi-Face Tracking With Multi-Modality Cascaded Matching”, IEEE Transactions on Circuits and Systems for Video Technology, vol. 33, pp. 2738-2752, 2023.

  • [3] Runhao Li, Zhenyu Weng, Huiping Zhuang, Zhiping Lin, “Neighborhood Learning from Noisy Labels for Cross-Modal Retrieval”, IEEE International Symposium on Circuits & Systems (ISCAS), 2023.

  • [4] Hanwen Liu, Zhenyu Weng, Yuesheng Zhu, Yadong Mu, “Trapdoor normalization with irreversible ownership verification”, International Conference on Machine Learning (ICML), 2023.

  • [5] Huiping Zhuang, Zhenyu Weng, Run He, Zhiping Lin, Ziqian Zeng, “GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-shot Class Incremental Task”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

  • [6] Yue Zhang, Suchen Wang, Shichao Kan, Zhenyu Weng, Yigang Cen, Yap-peng Tan, “POAR: Towards Open Vocabulary Pedestrian Attribute Recognition”, Proceedings of the ACM International Conference on Multimedia (ACMM), 2023.

  • [7] Jie Ruan, Zhenyu Weng, Jian Zhang, Yuqing Wang, Longhui Yu, Qiankun Gao, Yuesheng Zhu, “Style Expansion Without Forgetting for Handwritten Character Recognition”, International Conference on Artificial Neural Networks (ICANN), 2023.

  • [8] Zhaokun Zhou, Shuaijian Ji, Yuqing Wang, Zhenyu Weng, Yuesheng Zhu, “TRMER: Transformer-Based End to End Printed Mathematical Expression Recognition”, International Joint Conference on Neural Networks (IJCNN), 2023.

  • [9] Zhenyu Weng, Zongliang Yue, Yuesheng Zhu, Jake Yue Chen, “DEMA: a distance-bounded energy-field minimization algorithm to model and layout bio-molecular networks with quantitative features”, Bioinformatics, Volume 38, Pages i359–i368, July 2022.

  • [10] Zhenyu Weng, Yuesheng Zhu, “Unsupervised Online Hashing with Multi-Bit Quantization”, Asian Conference on Computer Vision (ACCV), 2022.

  • [11] Huiping Zhuang, Zhenyu Weng, Renchunzi Xie, Kar-Ann Toh, Zhiping Lin, “ACIL: Analytic Class-Incremental Learning with Absolute Memorization and Privacy Protection”, International Conference on Neural Information Processing Systems (NeurIPS), 2022.

  • [12] Longhui Yu, Zhenyu Weng, Yuqing Wang, Yuesheng Zhu, “Multi-Teacher Knowledge Distillation for Incremental Implicitly-Refined Classification”, IEEE International Conference on Multimedia and Expo (ICME), 2022.

  • [13] Yuqing Wang, Zhenyu Weng, Zhaokun Zhou, Shuaijian Ji, Zhongjie Ye, Yuesheng Zhu, “Dual Branch Network Towards Accurate Printed Mathematical Expression Recognition”, International Conference on Artificial Neural Networks (IJCNN), 2022.

  • [14] Zhenyu Weng, Yuesheng Zhu, “Online Hashing with Bit Selection for Image Retrieval”, IEEE Transaction on Multimedia, vol. 23, pp. 1868-1881, 2021.

  • [15] Huiping Zhuang, Zhenyu Weng, Fulin Luo, Kar-Ann Toh, Haizhou Li, Zhiping Lin, “Accumulated Decoupled Learning with Gradient Staleness Mitigation for Convolutional Neural Networks”, International Conference on Machine Learning (ICML), 2021.

  • [16] Hanwen Liu, Zhenyu Weng, Yuesheng Zhu, “Watermarking Deep Neural Networks with Greedy Residuals”, International Conference on Machine Learning (ICML), 2021.

  • [17] Zhencheng Huang, Dehao Wu, Zhenyu Weng, Yuesheng Zhu, Zhiqiang Bai, “Sequence-Aware Graph Neural Network for Session-based Recommendation”, International Joint Conference on Neural Networks (IJCNN), 2021.

  • [18] Chujun Qin, Zhilin Huang, Ruixin Liu, Zhenyu Weng, Yuesheng Zhu, “Bi-encoder Network with Structure-texture Consistency for Image Inpainting”, International Joint Conference on Neural Networks (IJCNN), 2021.

  • [19] Zhilin Huang, Chujun Qin, Ruixin Liu, Zhenyu Weng, Yuesheng Zhu, “Semantic-Aware Context Aggregation for Image Inpainting”, International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.

  • [20] Zhenyu Weng, Yuesheng Zhu, “Concatenation Hashing: A Relative Position Preserving Method for Learning Binary Codes”, Pattern Recognition, 2020, 100:107151. (IF: 8.0)

  • [21] Zhenyu Weng, Yuesheng Zhu, “Online Hashing with Efficient Updating of Binary Codes”, AAAI Conference on Artificial Intelligence (AAAI), 2020.

  • [22] Zhenyu Weng, Yuesheng Zhu, “Efficient Querying from Weighted Binary Codes”, AAAI Conference on Artificial Intelligence (AAAI), 2020.

  • [23] Zhenyu Weng, Yuesheng Zhu, Zhiping Lin, Haizhou Li, “Real-Time Multiple Object Tracking with Discriminative Features”, International Conference on Control, Automation, Robotics and Vision (ICARCV), 2020.