Jia-Qi Yang

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 14

Top Topics

Transfer Learning

Delayed Feedback

Instance Selection

Recommender Systems

Top Venues

Sci. China Inf. Sci.

Publications

Zhihao Guan, Jia-Qi Yang, Yang Yang, Hengshu Zhu, Wenjie Li, Hui Xiong
JobFormer: Skill-Aware Job Recommendation with Semantic-Enhanced Transformer. CoRR (2024)
Jia-Qi Yang, Yucheng Xu, Jia-Lei Shen, Ke-Bin Fan, De-Chuan Zhan, Yang Yang
IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics. KDD (2023)
Jia-Qi Yang, Chenglei Dai, Dan Ou, Ju Huang, De-Chuan Zhan, Qingwen Liu, Xiaoyi Zeng, Yang Yang
COURIER: Contrastive User Intention Reconstruction for Large-Scale Pre-Train of Image Features. CoRR (2023)
Jia-Qi Yang, De-Chuan Zhan, Le Gan
Beyond Probability Partitions: Calibrating Neural Networks with Semantic Aware Grouping. CoRR (2023)
Jia-Qi Yang, Yucheng Xu, Jia-Lei Shen, Ke-Bin Fan, De-Chuan Zhan, Yang Yang
IDToolkit: A Toolkit for Benchmarking and Developing Inverse Design Algorithms in Nanophotonics. CoRR (2023)
Jia-Qi Yang, De-Chuan Zhan
Generalized Delayed Feedback Model with Post-Click Information in Recommender Systems. CoRR (2022)
Jia-Qi Yang, Ke-Bin Fan, Hao Ma, De-Chuan Zhan
RID-Noise: Towards Robust Inverse Design under Noisy Environments. AAAI (2022)
Jia-Qi Yang, De-Chuan Zhan
Generalized Delayed Feedback Model with Post-Click Information in Recommender Systems. NeurIPS (2022)
Jia-Qi Yang, Xiang Li, Shuguang Han, Tao Zhuang, De-Chuan Zhan, Xiaoyi Zeng, Bin Tong
Capturing Delayed Feedback in Conversion Rate Prediction via Elapsed-Time Sampling. AAAI (2021)
Xin-Chun Li, De-Chuan Zhan, Jia-Qi Yang, Yi Shi
Deep multiple instance selection. Sci. China Inf. Sci. 64 (3) (2021)
Jia-Qi Yang, Ke-Bin Fan, Hao Ma, De-Chuan Zhan
RID-Noise: Towards Robust Inverse Design under Noisy Environments. CoRR (2021)
Jia-Qi Yang, Xiang Li, Shuguang Han, Tao Zhuang, De-Chuan Zhan, Xiaoyi Zeng, Bin Tong
Capturing Delayed Feedback in Conversion Rate Prediction via Elapsed-Time Sampling. CoRR (2020)
Jia-Qi Yang, De-Chuan Zhan, Xin-Chun Li
Bottom-Up and Top-Down Graph Pooling. PAKDD (2) (2020)
Xin-Chun Li, De-Chuan Zhan, Jia-Qi Yang, Yi Shi, Cheng Hang, Yi Lu
Towards Understanding Transfer Learning Algorithms Using Meta Transfer Features. PAKDD (2) (2020)