Qihe Huang @ USTC
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黄祺赫 |
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Biography
Currently I am a second year M.Sc. student of School of Software Engineering in University of Science and Technology of Chin and a member of Data Intelligence Research Center, led by associate professor Yang Wang .
I got my B.Sc. degree in School of Computer Science in June 2022 from Nanjing University of Information Science & Technology, supervised by Professor Xiaolong Xu. In the same year, I was admitted to study for a M.Sc degree in University of Science and Technology of China without entrance examination.
I once experienced as Research Intern at Tencent Youtu Laboratory (Shanghai, 2023.4~2023.9) and Sensedeal (Nanjing, 2021.10~2022.5). In Sensedeal, heartfelt thanks to Dr. Cangqi Zhou for guiding me in deep learning. His mentorship laid a strong foundation in mathematics and coding skills for me, a rare opportunity for future stages.
Education
2022.09 ~ present
M.Sc. student: Software Engineering, School of Software Engineering, University of Science and Technology of China.2018.09 ~ 2022.06
B.Sc. degree: Software Engineering, School of Computer Science, Nanjing University of Information Science & Technology.
Research Interests
Multivariate Time Series Forecasting
Spatial-Temporal Data Mining
Graph Neural Networks
Causal Analysis
Publications
(The authors with * are the corresponding authors.)Qihe Huang, Lei Shen, Ruixin Zhang, Jiahuan Cheng, Shouhong Ding, Zhengyang Zhou*, Yang Wang*. "HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting." The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024. (CCF-A)
Qihe Huang, Lei Shen, Ruixin Zhang, Shouhong Ding, Binwu Wang, Zhengyang Zhou*, Yang Wang*. "CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement." In Proceedings of the Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS) , 2023. (CCF-A)
Zhengyang Zhou, Qihe Huang, Kuo Yang, Kun Wang, Xu Wang, Yudong Zhang, Yuxuan Liang, Yang Wang*. "Maintaining the status quo: Capturing invariant relations for OOD spatiotemporal learning." In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023. (CCF-A)
Zhengyang Zhou, Qihe Huang, Gengyu Lin, Kuo Yang, LEI BAI, Yang Wang. GReTo: Remedying dynamic graph topology-task discordance via target homophily. International Conference on Learning Representations (ICLR),2023. (Top Conference)
Xiaolong Xu, Qihe Huang, Haibin Zhu, Suraj Sharma, Xuyun Zhang, Lianyong Qi*, Md Zakirul Alam Bhuiyan. Secure Service Offloading for Internet of Vehicles in SDN-Enabled Mobile Edge Computing. IEEE Transactions on Intelligent Transportation Systems , 2020. (CCF-B, JCR-Q1)
Xiaolong Xu, Qihe Huang, Xiaochun Yin, Mahdi Abbasi, Mohammad Khosravi, Lianyong Qi*. Intelligent Offloading for Collaborative Smart City Services in Edge Computing. IEEE Internet of Things Journal, 2020. (JCR-Q1)
Xiaolong Xu, Qihe Huang, Yiwen Zhang, Shancang Li, Lianyong Qi*, Wanchun Dou. An LSH-Based Offloading Method for IoMT Services in Integrated Cloud-Edge Environment, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2021. (CCF-B)
Awards
2022.9: First-class Academic Scholarship for Graduate Students, USTC.
2021.5: Merit Studient in Jiangsu Province.
2020.12: National Scholarships.
Teaching Services
2023: Serve as a TA for Artificial Intelligence (Autumn 2023), School of Software Engineering, USTC.
Correspondence
Email:
hqh@mail.ustc.edu.cn
Laboratory:
Office 216, Sixian Building, West Campus, Suzhou Institute for Advanced Research, USTC
Address:
188 RenAi Road, Suzhou Industrial Park, Suzhou, Jiangsu, 215123, China
(江苏省苏州市苏州工业园区仁爱路188号, 中国科学技术大学苏州高等研究院西区思贤楼, 215123.)