Jia-Qi Yang 杨嘉祺
I am a machine learning / data mining researcher. I have been mainly working on recommender systems, graph neural networks, and machine learning for scientific design. Since 2021, I have been pursuing my doctoral studies at Nanjing University, under the esteemed guidance of Prof. De-Chuan Zhan. I am scheduled to complete my studies in 2024 and I am currently seeking opportunities in both academia and industry. If you are interested, please feel free to contact me via email.
Education
2021-now
Doctor of Philosophy (Computer Science and Technology), LAMDA Group, Nanjing University
2018-2021
Master of Engineering (Computer Science and Technology), LAMDA Group, Nanjing University
2014-2018
Bachelor of Engineering (Electrical Engineering and its Automation), Wuhan University
Publications
IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics
Jia-Qi Yang, Yu-Cheng Xu, Jia-Lei Shen, Ke-Bin Fan, De-Chuan Zhan, Yang Yang.
SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) 2023
Normalizing Flows for Efficient Inverse Design of Thermophotovoltaic Emitters
Jia-Qi Yang, YuCheng Xu, Kebin Fan, Jingbo Wu, Caihong Zhang, De-Chuan Zhan, Biao-Bing Jin, and Willie J. Padilla.
ACS Photonics
Generalized Delayed Feedback Model with Post-Click Information in Recommender Systems
Jia-Qi Yang, De-Chuan Zhan.
Neural Information Processing Systems (NeurIPS) 2022 (spotlight)
RID-Noise: Towards Robust Inverse Design under Noisy Environments
Jia-Qi Yang, Ke-Bin Fan, Hao Ma, De-Chuan Zhan.
AAAI Conference on Artificial Intelligence (AAAI) 2022
Capturing Delayed Feedback in Conversion Rate Prediction via Elapsed-Time Sampling
Jia-Qi Yang, Xiang Li, Shuguang Han, Tao Zhuang, De-Chuan Zhan, Xiaoyi Zeng, Bin Tong.
AAAI Conference on Artificial Intelligence (AAAI) 2021
Corporate Relative Valuation using Heterogeneous Multi-Modal Graph Neural Network
Yang Yang, Jiq-Qi Yang, Ran Bao, De-Chuan Zhan, Hengshu Zhu, Xiao-Ru Gao, Hui Xiong.
IEEE Transactions on Knowledge and Data Engineering (TKDE)
Bottom-Up and Top-Down Graph Pooling
Jiq-Qi Yang, De-Chuan Zhan, Xin-Chun Li.
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2020
Deep Multiple Instance Selection
Xin-Chun Li, De-Chuan Zhan, Jiq-Qi Yang, Yi Shi.
Science China Information Sciences (SCIS)
Towards Understanding Transfer Learning Algorithms Using Meta Transfer Features
Xin-Chun Li, De-Chuan Zhan, Jiq-Qi Yang, Yi Shi, Cheng Hang, Yi Lu.
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2020
Talks
Delayed Feedback in Recommender Systems
Research Experience
2020-2020, 2022-2022
Research Intern, Taobao Search, Hangzhou, China
Awards
- Scholar Award, NeurIPS’22, AAAI’22.
- National Scholarship for PhD student, 2022
- HUAWEI Fellowship for Outstanding Contribution, 2021
- ACM/ICPC Asian Regional, HongKong Onsite, Gold Award, Problem A fastest solver, 2016
- China Collegiate Programming Contest(CCPC), South China Invitational Contest, Gold Award, 2016
- Alibaba Global Scheduling Algorithm Competition, Champion(1/2116), 2018
Academic Service
Conference / Journal Reviewer
- ECML-PKDD’21, AAAI’21, ACML’21, SDM’21, AAAI’22, NeruIPS’22, UAI’22, AAAI’23, NeurIPS’23, ECAI’23, PAKDD’23, ICLR’23
- IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Computational Social Systems, Chinese Journal of Electronics, Transactions on Intelligent Systems and Technology, 软件学报, 计算机研究与发展
Teaching Assistant
2023
Intelligent system design and application. with Prof. De-Chuan Zhan.
2021
Digital Signal Processing. with Prof. Han-Jia Ye.
2018
Advanced C++ Programming. with Prof. Shu-Jian Huang and Prof. Zhi-Qiang Zuo.