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. From Mar 2024 to Dec 2024, I was a visiting student at RIKEN-AIP, Tokyo, supervised by Professor Masashi Sugiyama.
Education
2024.3 - 2024.12
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
Publications
* equal contribution
Improving LLMs for Recommendation with Out-Of-Vocabulary Tokens
Ting-Ji Huang, Jia-Qi Yang, Chunxu Shen, Kai-Qi Liu, De-Chuan Zhan, Han-Jia Ye
International Conference on Machine Learning (ICML) 2025
JobFormer: Skill-Aware Job Recommendation with Semantic-Enhanced Transformer
Zhihao Guan*, Jia-Qi Yang*, Yang Yang, Hengshu Zhu, Wenjie Li, Hui Xiong.
ACM Transactions on Knowledge Discovery from Data
Physics-informed Inverse Design of Multi-bit Programmable Metasurfaces
Yucheng Xu*, Jia-Qi Yang*, Kebin Fan, Sheng Wang, Jingbo Wu, Caihong Zhang, De-Chuan Zhan, Willie J. Padilla, Biaobing Jin, Jian Chen, Peiheng Wu.
Advanced Science
COURIER: Contrastive User Intention Reconstruction for Large-Scale Visual Recommendation
Jia-Qi Yang, Chenglei Dai, OU Dan, Dongshuai Li, Ju Huang, De-Chuan Zhan, Xiaoyi Zeng, Yang Yang.
Frontiers of Computer Science
RE-SORT: Removing Spurious Correlation in Multilevel Interaction for CTR Prediction
Songli Wu, Liang Du, Jia-Qi Yang, Yuai Wang, De-Chuan Zhan, Shuang Zhao, Zixun Sun.
Conference on Uncertainty in Artificial Intelligence (UAI) 2024
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
Awards
- Scholar/Travel Award, NeurIPS’22, AAAI’22, KDD’23, NeurIPS’23.
- Postgraduate Research & Practice Innovation Program of Jiangsu Province, 2024
- Scholarship of China Scholarship Council (Visiting student at RIKEN-AIP), 2024
- Huawei Scholarship, 2023
- National Scholarship for PhD student, 2022
- Huawei-Nanjing University Joint AI Laboratory, Award for Outstanding Contribution, 2021
- Alibaba Global Scheduling Algorithm Competition, Champion(1st/2116), 2018
- Huawei Code Craft, Most Exquisite Code Award, 2018
- HackHarvard, KENSHO prize, 2018
- ACM/ICPC Asian Regional, HongKong Onsite, Gold Award, Fastest solver of problem A, 2016
- ACM/ICPC Asian Regional, East Continent Final, Silver Award, 2016
- China Collegiate Programming Contest(CCPC), South China Invitational Contest, Gold Award, 2016
- China Collegiate Programming Contest(CCPC), Changchun Onsite, Silver Award, 2016
- ACM/ICPC Asian Regional, Shanghai Onsite, Bronze Award, 2015
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, AAAI’25, ICLR’25, KDD’25, UAI’25, NeurIPS’25
- 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, Intelligent Data Analysis, 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.