聂佳浩，男，博士，国家留基委公派留学生，毕业于杭州电子科技大学并获得工学博士学位，现为浙江财经大学文华百人计划研究员，校聘副教授，杭州市科技副总。研究方向为多模态大模型、具身智能、计算机视觉、自然语言处理、时间序列预测等。作为项目负责人，主持国家自然科学基金、浙江省自然科学基金、横向课题等多项项目。作为项目骨干成员，参与国家重点研发计划、国家重大仪器研制、浙江省尖兵领雁科技计划等多项项目。累计在人工智能领域发表高水平论文50余篇，其中以一作或通讯作者身份发表CVPR、ICLR、AAAI、IJCAI、ACM MM、IJCV、TMM、TCSVT、TII、TVT、TTE、Applied Energy等CCF-A类会议/期刊、Trans汇刊。授权专利多项、软著。长期担任CVPR、ICCV、ECCV、NeurIPS、ICLR、ICML、AAAI、IJCAI、ACM MM、IJCV、TIP、TMM等CCF-A类期刊、会议的审稿人。

一、科研论文

会议论文：

注：*表示通讯作者，#表示共同第一作者，IF、CCF等级、中科院分区为投稿年份

1. Jiyuan Xu, Wenyu Zhang, Xin Jing, Shuai Chen, Jiahao Nie. CPiRi: Channel Permutation-Invariant Relational Interaction for Multivariate Time Series Forecasting[C]// Proceedings of the International Conference on Learning Representation (ICLR) 2026. (CCF-A类会议, Main Conference)

2. Shuai Zhang, Weibo Xu, Kecheng Huang, Jiahao Nie. LGSA: Label Geometry Structuring and Aligning  for Hierarchical Text Classification[C]// Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL) 2026. (CCF-A类会议, Main Conference)

3. Sifan Zhou^#, Jiahao Nie^#, Yichao Cao, Yuqian Fu, Ziyu Zhao, Xiaobo Lu, Shuo Wang. CompTrack: Information Bottleneck-Guided Low-Rank Dynamic Token Compression for Point Cloud Tracking[C]// Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 2026. (CCF-A类会议, Main Conference, Oral Paper)

4. Sifan Zhou^#, Jiahao Nie^#, Ziyu Zhao, Yichao Cao, Xiaobo Lu.  Focustrack: One-stage Focus-and-Suppress Framework for 3D Point Cloud Object Tracking[C]// Proceedings of the ACM International Conference on Multimedia (ACM MM) 2025. (CCF-A类会议, Main Conference)

5. Fei Xie, Jiahao Nie*, Yujin Tang, Wenkang Zhang and Hongshen Zhao. Mamba-Adaptor: State Space Model Adaptor for Visual Recognition[C]// Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR) 2025. (CCF-A类会议, Main Conference)

6. Yuxuan Lu^#, Jiahao Nie^#, Zhiwei He, Hongjie Gu and Xudong Lv. VoxelTrack: Exploring Multi-level Voxel Representation for 3D Point Cloud Object Tracking[C]// Proceedings of the ACM International Conference on Multimedia (ACM MM) 2024. (CCF-A类会议, Main Conference)

7. Jiahao Nie, Zhiwei He, Xudong Lv, Xueyi Zhou, Dong-Kyu Chae and Fei Xie. Towards Category Unification of 3D Single Object Tracking on Point Clouds[C]// Proceedings of the International Conference on Learning Representation (ICLR) 2024. (CCF-A类会议, Main Conference)

8. Jiahao Nie, Zhiwei He, Yuxiang Yang, Zhengyi Bao, Mingyu Gao and Jing Zhang. OSP2B: One-Stage Point-to-Box Network for 3D Siamese Tracking[C]// Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI) 2023. (CCF-A类会议, Main Conference, Oral Paper)

9. Jiahao Nie, Zhiwei He, Yuxiang Yang, Mingyu Gao and Jing Zhang. GLT-T: Global-Local Transformer Voting for 3D Single Object Tracking in Point Clouds[C]// Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 2023. (CCF-A类会议, Main Conference, Oral Paper)

期刊论文：

注：*表示通讯作者，#表示共同第一作者，IF、CCF等级、中科院分区为投稿年份

1. Zhengyi Bao, Chenhan Wang, Jiahao Nie*, Can Wang, Kejie Gao, Zhiwei He, Mingyu Gao. Physics-inspired Window-wise Learning Framework for Capacity Degradation Prediction using Diverse Real-world Battery Packs[J]. Applied Energy, 2026. (中科院一区Top, IF: 12.2)

2. Jiahao Nie, Fei Xie, Sifan Zhou, Xueyi Zhou, Dong-Kyu Chae, Zhiwei He. P2P: Part-to-Part Motion Cues Guide a Strong Tracking Framework for LiDAR Point Clouds[J]. International Journal of Computer Vision, 2024. (IF: 19.5, CCF-A类期刊)

3. Jiahao Nie, Anqi Xu, Zhengyi Bao, Zhiwei He*, Xudong Lv and Mingyu Gao. Context Matching-Guided Motion Modeling for 3D Point Cloud Object Tracking[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2024. (中科院一区Top, IF: 10.8, CCF-B类期刊)

4. Jiahao Nie, Han Wu, Zhiwei He, Mingyu Gao and Zhekang Dong. Spreading Fine-grained Prior Knowledge for Accurate Tracking[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2022. (中科院一区Top, IF: 10.8, CCF-B类期刊)

5. Jiahao Nie, Zhiwei He, Yuxiang Yang, Mingyu Gao and Zhekang Dong. Learning Localization-Aware Target Confidence for Siamese Visual Tracking[J]. IEEE Transactions on Multimedia, 2022. (中科院一区Top, IF: 9.9, CCF-A类期刊)

6. Jiahao Nie, Zhekang Dong, Zhiwei He, Han Wu, Mingyu Gao. FAML-RT: Feature Alignment-based Multi-level Similarity Metric Learning Network for a Two-stage Robust Tracker[J]. Information Sciences, 2022. (中科院一区Top, IF: 8.1, CCF-B类期刊)

7. Xiaorong Zheng^#, Jiahao Nie^#, Zhiwei He, Mingyu Gao. Specific Task-Guided Collaborative Domain Generalization Network for Intelligent Fault Diagnosis Under Unseen Conditions[J]. IEEE Internet of Things Journal, 2025. (中科院二区Top, IF: 8.9)

8. Zhengyi Bao, Tingting Luo, Mingyu Gao*, Zhiwei He, Kejie Gao, Jiahao Nie*. A Lightweight and Term-Arbitrary Memory Network for Remaining Useful Life Prediction of Li-Ion Battery[J]. IEEE Transactions on Instrumentation and Measurement, 2024. (中科院二区Top, IF: 5.6)

9. Anqi Xu^#, Jiahao Nie^#, Zhiwei He, Xudong Lv. C-DHV: A Cascaded Deep Hough Voting based Tracking Algorithm for LiDAR Point Clouds[J]. IEEE Transactions on Instrumentation and Measurement, 2024. (中科院二区Top, IF: 5.6)

10. Xiaorong Zheng^#, Jiahao Nie^#, Zhiwei He, Mingyu Gao. Exploring Informative and Highly-Transferable Features for Cross-Machine Fault Diagnosis by ConvFormer-based Biconditional Domain Adaptation Method[J]. IEEE Transactions on Industrial Information, 2024. (中科院一区Top, IF: 11.7)

11. Shenhui Ma^#, Jiahao Nie^#, Siwei Guan, Zhiwei He, Mingyu Gao. MPFormer: Multi-Patch Transformer for Multivariate Time Series Anomaly Detection With Contrastive Learning[J]. IEEE Internet of Things Journal, 2024. (中科院一区Top, IF: 8.2)

12. Anqi Xu^#, Jiahao Nie^#, Zhiwei He, Xudong Lv. TM2B: Transformer-Based Motion-to-Box Network for 3D Single Object Tracking on Point Clouds[J]. IEEE Robotics and Automation Letters, 2024. (中科院二区Top, IF: 4.6)

二、授权专利、软著

专利：

1. 何志伟, 杜晨杰, 董哲康, 高明裕, 伍瀚, 聂佳浩. 一种基于旋转自适应卷积网络的视觉跟踪方法 - 202011363738.6

2. 张文宇, 方圆, 金沁雨, 陈勇, 戴子轩, 聂佳浩, 张帅, 于海洋, 傅奕玮. 一种数字孪生驱动的再加工调度优化方法 - 202511138880.3

3. 张帅, 杨汕, 张文宇, 聂佳浩, 陈勇, 吕昊阳. 一种超图增强半监督图重构方法及重叠社区检测方法 - 202511034360.8

软著：

1. 聂佳浩, 高明裕. 复杂场景下激光雷达稀疏点云的目标跟踪软件V1.0 - 2024SR0350680

2. 张帅, 郭珈宇, 陈帅, ZHANG WENYU, 聂佳浩, 陈勇. 自监督纵向联邦学习软件V1.0 - 2026SR0579637

三、主持科研项目

1. 浙江省自然科学基金青年基金项目，《视觉-语言协同驱动的通用目标跟踪方法研究》，LQN26F030003，2026/01-2027/12

2. 横向课题，《基于超图增强型半监督图重构的重叠社区检测方法研发》，2025hx162，2025/07-2026/01

3. 优秀博士论文培育基金项目，《面向激光雷达点云单目标跟踪的孪生匹配与运动建模技术研究》，2024/06-2025/06

4. 研究生科研创新基金项目，《面向自动驾驶的三维单目标跟踪类统一模型研究》，项目编号：CXIJ2023046，2023/06-2024/06

四、指导学生竞赛

1. 2026/06 获第十七届中国大学生服务外包创新创业大赛二等奖

2. 2026/06 大学生创新创业训练计划项目（国家级）

3. 2026/06 大学生创新创业训练计划项目（省级）

4. 2025/12 获第四届中国研究生金融科技创新大赛三等奖

5. 2025/11 获中国研究生智能建造创新大赛二等奖

6. 2025/10 获“华为杯”第七届中国研究生人工智能创新大赛三等奖

7. 2025/10 获“华为杯”第七届中国研究生人工智能创新大赛三等奖

8. 2025/10 获“华为杯”第七届中国研究生人工智能创新大赛三等奖

9. 2025/08 获互联网+省银

10. 2025/08 获互联网+国铜

11. 2025/07 获浙江省第十九届“挑战杯”大学生课外学术科技作品竞赛“人工智能+”专项赛银奖

五、荣誉

2025 获浙江省优秀毕业生

2025 获杭州电子科技大学优秀博士学位论文

2025 获杭州电子科技大学十佳研究生

2023 获国家公派留学生CSC奖学金

2023 获博士国家奖学金