曾建电，澳门大学计算机哲学博士，硕士生导师，现任北京师范大学珠海校区人工智能与未来网络研究院讲师，主要研究方向为知识挖掘，多模态情感分析，大小模型和边缘智能。近3年来，主持国家自然科学基金青年项目1项，主持北京师范大学教改项目2项，参与国家自然科学基金面上项目2项。发表SIGIR、EMNLP、AAAI、TMM、TASLP、TOMM等高水平会议期刊论文10余篇（CCF A类中英文论文3篇，CCF B类论文10篇，ESI高被引论文1篇）。担任ACL，EMNLP，COLING等国际会议的程序委员会成员。

讲授课程

1. 深度学习前沿，研究生，32学时。 2023秋，2024秋

2. 算法与程序设计(Python)，本科生，64学时。2024春，2024秋

1. 曾建电(3/6)，Incorporating Startup Delay into Collaborative Edge Computing for Superior Task Efficiency, The IEEE/ACM International Symposium on Quality of Service , IWQoS 2024, Best paper Runner-up Award, 2024.06.21 (CCF B)

2. 曾建电(1/5)，传感云研究综述，领跑者F5000-中国精品科技期刊顶尖学术论文，中国科学技术信息研究所，2020.9.28

1. 国家自然科学基金委员会，青年科学基金项目，62302049，面向鲁棒性多模态情感分析关键技术研究，2024.01-2026.12，30万元，在研，主持

2. 北京师范大学教师教学发展基金项目，110124201507，基于多模态的学生课堂学习状态研究与实践，2024.06-2024.12，在研，主持

3. 北京师范大学教学建设与改革项目，jx2024040，多模态大模型驱动下的启发式学习探索-以《算法与程序设计（Python）》为例，在研，主持

4. 国家自然科学基金委员会，面上项目，62372047，异构传感云系统中合作式边缘智能关键技术研究，2024.01-2027.12，50万元，在研，参与

5. 国家自然科学基金委员会，面上项目，62172458，基于完整空间学习的端到端多视图子空间聚类方法研究，2022.01-2025.12，61万元，在研，参与

Journal Papers

1. Huaijin Liu, Jixiang Du, Yong Zhang, Hongbo Zhang, Jiandian Zeng*, MSSA: Multi-Representation Semantics-Augmented Set Abstraction for 3D Object Detection, ACM Transactions on Multimedia Computing Communications and Applications (TOMM), 2024, doi.org/10.1145/3686157. (CCF B)

2. Huaijin Liu, Jixiang Du, Yong Zhang, Hongbo Zhang, Jiandian Zeng*, Syn-Aug: An Effective and General Synchronous Data Augmentation Framework for 3D Object Detection, CAAI Transactions on Intelligence Technology (CAAI TRIT), Accepted, 2024.

3. Huaijin Liu, Jixiang Du, Yong Zhang, Hongbo Zhang, Jiandian Zeng, PVConvNet: Pixel-Voxel Sparse Convolution for Multimodal 3D Object Detection, Pattern Recognition, 2024, 149:110284. (CCF B)

4. Jiandian Zeng，Jiantao Zhou，Caishi Huang，Exploring Semantic Relations for Social Media Sentiment Analysis, IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), 2023, (31):2382-2394. (CCF B)

5. Jiandian Zeng, Jiantao Zhou, Tianyi Liu, Robust Multimodal Sentiment Analysis via Tag Encoding of Uncertain Missing Modalities, IEEE Transactions on Multimedia (TMM), 2022, 6301-6314. (CCF B)

6. Jiandian Zeng, Tianyi Liu, Weijia Jia, Jiantao Zhou, Relation Construction for Aspect-level Sentiment Analysis, Information Sciences, 2022, 586: 209-223. (CCF B)

7. Jiandian Zeng, Tianyi Liu, Weijia Jia, Jiantao Zhou, Fine-grained Question- Answer Sentiment Classification with Hierarchical Graph Attention Network, Neurocomputing, 2021, 457: 214-224.

8. 曾建电，王田，贾维嘉，彭绍亮，王国军，传感云研究综述，计算机研究与发展，2017，54(5): 925-939. (CCF A类中文期刊, F5000论文)

9. Tian Wang, Jiandian Zeng, Md Zakirul Alam Bhuiyan, Yonghong Chen, Yiqiao Cai, Hui Tian and Mande Xie, Energy-efficient Relay Tracking with Multiple Mobile Camera Sensors, Computer Networks, 2018, 133: 130-140. (CCF B)

10. Tian Wang, Jiandian Zeng, Yongxuan Lai, Hui Tian, Yonghong Chen, Baowei Wang, Data Collection from WSNs to the Cloud Based on Fog Elements, Future Generation Computer Systems (FGCS), 2020, 105: 864-872.

Conference Papers

1. Jiandian Zeng, Tianyi Liu, Jiantao Zhou, Tag-assisted Multimodal Sentiment Analysis under Uncertain Missing Modalities, Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2022: 1545-1554. (CCF A)

2. Jiandian Zeng, Jiantao Zhou, Tianyi Liu, Mitigating Inconsistencies in Multimodal Sentiment Analysis under Uncertain Missing Modalities, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022, 2924–2934. (CCF B)

3. Jun Liu, Jiantao Zhou, Jiandian Zeng, Jinyu Tian, DifAttack: Query-Efficient Black-Box Adversarial Attack via Disentangled Feature Space，Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024, 38(4): 3666-3674. (CCF A)

4. Chanfu Xu, Jianxiong Guo, Jiandian Zeng, Yupeng Li, Jiannong Cao, Tian Wang, Incorporating Startup Delay into Collaborative Edge Computing for Superior Task Efficiency, The IEEE/ACM International Symposium on Quality of Service (IWQoS), 2024. (CCF B, Best Paper Runner-up Award)

5. Changfu Xu, Jianxiong Guo, Jiandian Zeng, Shengguang Meng, Xiaowen Xu, Jiannong Cao, Tian Wang, Enhancing AI-Generated Content Efficiency through Adaptive Multi-Edge Collaboration, The 44th IEEE International Conference on Distributed Computing System (ICDCS), 2024, 960-970. (CCF B)

6. Haodong Zou, Jianxiong Guo, Yupeng Li, Jiandian Zeng, Jiannong Cao, Tian Wang, Fine-Grained Service Lifetime OptimizaTIon for Energy-Constrained Edge-Edge Collaboration, The 44th IEEE International Conference on Distributed Computing System (ICDCS), 2024, 565-576. (CCF B)

7. Yuzhu Liang, Fengyi Huang, Yaxin Mei, Guangxue Zhang, Jiandian Zeng, Tian Wang, Distributed and Efficient Request Scheduling in Collaborative Edge Computing, The 44th IEEE International Conference on Distributed Computing System (ICDCS), 2024, 1458-1459. (CCF B)

Review for ACL, EMNLP, COLING, TMM, TASL, IEEE/CAA J. Autom. Sin., Neurocomputing, etc.