Jia-Qi Yang 杨嘉祺

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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

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.