Jia-Qi Yang 杨嘉祺
I am a dedicated researcher in the fields of machine learning and data mining. My primary focus has been on developing recommender systems, advancing graph neural networks, and applying machine learning to scientific endeavors. Since 2021, I have been enthusiastically pursuing my doctoral studies at Nanjing University, under the esteemed mentorship of Professor De-Chuan Zhan. Since Mar 2024, I'm a visiting student at RIKEN-AIP, Tokyo, supervised by Professor Masashi Sugiyama.
Education
2024.3 - present
Visiting Student, Imperfect Information Learning Team, RIKEN-AIP
2021.9 - present
Doctor of Philosophy (Computer Science and Technology), LAMDA Group, Nanjing University
2018.9 - 2021.6
Master of Engineering (Computer Science and Technology), LAMDA Group, Nanjing University
2014.9 - 2018.6
Bachelor of Engineering (Electrical Engineering and its Automation), Wuhan University
Preprints
REFORM: Removing False Correlation in Multi-level Interaction for CTR Prediction
Songli Wu, Liang Du, Jia-Qi Yang, Yuai Wang, De-Chuan Zhan, Shuang Zhao, Zixun Sun.
COURIER: Contrastive User Intention Reconstruction for Large-Scale Pre-Train of Image Features
Jia-Qi Yang, Chenglei Dai, OU Dan, Ju Huang, De-Chuan Zhan, Qingwen Liu, Xiaoyi Zeng, Yang Yang.
Publications
Beyond Probability Partitions: Calibrating Neural Networks with Semantic Aware Grouping
Jia-Qi Yang, De-Chuan Zhan, Le Gan.
Neural Information Processing Systems (NeurIPS) 2023
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 (Oral)
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
Selected Awards
- Scholar/Travel Award, NeurIPS’22, AAAI’22, KDD’23, NeurIPS’23.
- Huawei Scholarship, 2023
- 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
- ACM/ICPC Asian Regional, East Continent Final, Silver Award, 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, ACML’23, AAAI’24, AAAI-GCLR’24, ICLR’24, ECAI’24
- IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Computational Social Systems, Chinese Journal of Electronics, Transactions on Intelligent Systems and Technology, Machine Learning, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Services Computing, Frontiers of Computer Science, Pattern Recognition, 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.