Machine Learning / Data Mining

Jia-Qi Yang 杨嘉祺

Algorithm Engineer · Researcher · Ph.D.

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.

Recommender Systems Graph Neural Networks AI for Science Large-scale Modeling

Email CV

Work Experience

Algorithm Engineer

2025.7 - present

ByteDance, Shanghai, China

Research Intern

2020.5 - 2020.92022.3 - 2022.12

Taobao, Hangzhou, China

Education

Visiting Student

2024.3 - 2024.12

Imperfect Information Learning Team, RIKEN-AIP.

Supervisor: Prof. Masashi Sugiyama.

Doctor of Philosophy (Computer Science and Technology)

2021.9 - 2025.6

LAMDA Group, Nanjing University.

Supervisor: Prof. De-Chuan Zhan.

Master of Engineering (Computer Science and Technology)

2018.9 - 2021.6

LAMDA Group, Nanjing University.

Supervisor: Prof. De-Chuan Zhan.

Bachelor of Engineering (Electrical Engineering and its Automation)

2014.9 - 2018.6

Wuhan University

Publications

* equal contribution

Make It Long, Keep It Fast: End-to-End 10k-Sequence Modeling at Billion Scale on Douyin

Lin Guan*, Jia-Qi Yang*, Zhishan Zhao*, Beichuan Zhang*, Bo Sun, Xuanyuan Luo, Jinan Ni, Xiaowen Li, Yuhang Qi, Zhifang Fan, Hangyu Wang, Qiwei Chen, Yi Cheng, Feng Zhang, Xiao Yang

THE ACM WEB CONFERENCE (WWW) 2026

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 Recognition

Outstanding Doctoral Dissertation Award of the School of Computer Science, Nanjing University, 2025
KDD Outstanding Reviewer (top 10%), 2025
Scholar/Travel Award, NeurIPS'22, AAAI'22, KDD'23, NeurIPS'23.

Scholarships & Research Programs

Nanjing University Doctoral Students’ Innovation Capacity Leadership Program – Excellence Creation Project, 2024
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
Award for Outstanding Contribution, Huawei-Nanjing University Joint AI Laboratory, 2021

Competitions

Champion(1st/2116), Alibaba Global Scheduling Algorithm Competition, 2018
Most Exquisite Code Award, Huawei Code Craft, 2018
KENSHO prize, HackHarvard, 2018
Gold Award, Fastest solver of problem A, ACM/ICPC Asian Regional, HongKong Onsite, 2016
Silver Award, ACM/ICPC Asian Regional, East Continent Final, 2016
Gold Award, China Collegiate Programming Contest(CCPC), South China Invitational Contest, 2016
Silver Award, China Collegiate Programming Contest(CCPC), Changchun Onsite, 2016
Bronze Award, ACM/ICPC Asian Regional, Shanghai Onsite, 2015

Academic Service

Conference / Journal Reviewer

Conferences

ECML-PKDDAAAIACMLSDMNeruIPSUAIECAIPAKDDICLRACMLKDDWWWICML

Journals

IEEE Transactions on Knowledge and Data EngineeringIEEE Transactions on Computational Social SystemsChinese Journal of ElectronicsTransactions on Intelligent Systems and TechnologyMachine LearningIEEE Transactions on Circuits and Systems for Video TechnologyIEEE Transactions on Services ComputingFrontiers of Computer SciencePattern RecognitionIntelligent Data AnalysisSCIENCE CHINA Information Sciences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.