Impact of non-commercial networks on academic entrepreneurship in post-commercialisation. - Yijia Dai; Jing Xu (Technol. Anal. Strateg. Manag., 2021)

Reversible Data Hiding in Encrypted Images Combined with Chaotic System Based on Pixel Prediction and Bit Plane Compression. - Yijia Dai; Ka-Cheng Choi (ICDIP, 2023)

Representation Learning in Low-rank Slate-based Recommender Systems. - Yijia Dai; Wen Sun (CoRR, 2023)

Sample Efficient Reinforcement Learning from Human Feedback via Active Exploration. - Viraj Mehta; Vikramjeet Das; Ojash Neopane; Yijia Dai; Ilija Bogunovic; Jeff G. Schneider; Willie Neiswanger (CoRR, 2023)

Evaluating government intervention in academic entrepreneurship: an identity perspective and evidence from China. - Yijia Dai; Jing Xu (Int. J. Technol. Manag., 2023)

Language-Based User Profiles for Recommendation. - Joyce Zhou; Yijia Dai; Thorsten Joachims (CoRR, 2024)

End-to-end Training for Recommendation with Language-based User Profiles. - Zhaolin Gao; Joyce Zhou; Yijia Dai; Thorsten Joachims (CoRR, 2024)

Pre-trained Large Language Models Learn Hidden Markov Models In-context. - Yijia Dai; Zhaolin Gao; Yahya Sattar; Sarah Dean; Jennifer J. Sun (CoRR, 2025)