Jia-Qi Yang 杨嘉祺

I am an engineer and researcher, with my primary research interests in machine learning and data mining. My work focuses on recommender systems, graph neural networks, and AI for science.


Work Experience

2025.7 - present Algorithm Engineer, ByteDance Ltd., Shanghai, China

2020.5-2020.9, 2022.3-2022.12 Research Intern, Taobao Search, Hangzhou, China

Education

2021.9 - 2025.6 Doctor of Philosophy (Computer Science and Technology), LAMDA Group, Nanjing University

2024.3 - 2024.12 Visiting Student, Imperfect Information Learning Team, RIKEN-AIP

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

Awards

Academic Service

Conference / Journal Reviewer

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.