平皓弟，男，硕士生导师。2023年毕业于中国人民大学计算机科学与技术专业，加入北京工业大学计算机学院，长期从事智能网络相关研究，主讲人工智能通识课程。连续主持自然科学基金、博士后基金等科研项目，和多个国内外科研机构的学者保持稳固合作关系。个人主页：https://haodi-ping.github.io//

主要包括智能网络与优化、物联网、无线网络、无人集群定位、大规模图数据挖掘与应用等。

2018年9月-2023年6月，中国人民大学计算机科学与技术专业，博士

2021年10月-2022年10月，Nanyang Technological University, Singapore（新加坡南洋理工大学），联合培养

1. 北京市自然科学基金项目：异构无人集群协同定位关键问题研究，主持，在研

2. 北京市博士后基金项目：基于泛在无线测距信号的智能无人系统研究，主持，在研

常年招收硕士研究生，欢迎对计算机科学与技术领域充满热情、渴望在探索中实现自我成长的同学加入团队！团队关注计算机科学与技术中的前沿课题，涵盖从理论研究到实际应用的广泛领域，重视开放包容的科研氛围，鼓励多样化思维和个性化表达。如果你对相关方向具备兴趣和探索精神，期待和你共同前行。

期望要求：具备良好自我驱动力、理解能力，善于思考，善于沟通、协作，具有较好的专业基础和编程能力。

招生专业：计算机科学与技术专业（学硕）和计算机技术专业（专硕）。

[1] Haodi Ping, Yongcai Wang, Yu Zhang, Deying Li, Lihua Xie, Understanding Hidden Knowledge in Generic Graphs, IEEE/ACM Transactions on Networking (TON), 2024, 32(3): 2631 - 2645. [CCF-A类]

[2] Haodi Ping, Yongcai Wang, Deying Li, Tianyuan Sun, Flipping free conditions and their application in sparse network localization, IEEE Transactions on Mobile Computing (TMC), 2022, 21(3), 986-1003. [CCF-A类]

[3] Haodi Ping, Yongcai Wang, Deying Li, Wenping Chen, Understanding node localizability in barycentric linear localization, IEEE/ACM Transactions on Networking (TON), 2023, 31(3), 1353-1368. [CCF-A类]

[4] Haodi Ping, Yongcai Wang, Xingfa Shen, Deying Li, Wenping Chen, On node localizability identification in barycentric linear localization, ACM Transactions on Sensor Networks (TOSN), 2022, 19(1), 1-26. [CCF-B类]

[5] Haodi Ping, Yongcai Wang, Deying Li, HGO: hierarchical graph optimization for accurate, efficient, and robust network localization, 29th International Conference on Computer Communications and Networks (ICCCN), 2020, 1-9.

[6] Haodi Ping, Zhangbing Zhou, Zhensheng Shi, Taj Rahman. Accurate and energy-efficient boundary detection of continuous objects in duty-cycled wireless sensor networks. Personal and Ubiquitous Computing (PUC), 2018.

[7] InferLoc: hypothesis-based joint edge Inference and localization in sparse sensor networks, ACM Transactions on Sensor Networks (TOSN), 2023.[CCF-B类]

[8] GPART: partitioning maximal redundant rigid and maximal global rigid components in generic distance graphs, ACM Transactions on Sensor Networks (TOSN). 2023, 19(4), 1-26.[CCF-B类]

[9] DCG: an efficient distributed conjugate gradient algorithm for solving linear equations in multi-agent networks, Results in Control and Optimization, 2023.

[10] Accurate boundary detection and refinement for continuous objects in IoT sensing networks. IEEE Communications Magazine, 2019. [JCR Q1]