Haijiang Yan

According to our database, Haijiang Yan authored at least 12 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

PriorProbe: Recovering Individual-Level Priors for Personalizing Neural Networks in Facial Expression Recognition.

Haijiang Yan, Nick Chater, Adam Sanborn

CoRR, February, 2026

Large Language Models Can Take False First Steps at Inference-time Planning.

Haijiang Yan, Jian-Qiao Zhu, Adam Sanborn

CoRR, February, 2026

2025

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations.

Jian-Qiao Zhu, Haijiang Yan, Thomas L. Griffiths

CoRR, May, 2025

Recovering Event Probabilities from Large Language Model Embeddings via Axiomatic Constraints.

Jian-Qiao Zhu, Haijiang Yan, Thomas L. Griffiths

CoRR, May, 2025

Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice.

Jian-Qiao Zhu, Haijiang Yan, Thomas L. Griffiths

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Recovering Mental Representations from Large Language Models with Markov Chain Monte Carlo.

Jian-Qiao Zhu, Haijiang Yan, Tom Griffiths

Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024

Recovering individual mental representations of facial affect using Variational Auto-Encoder Guided Markov Chain Monte Carlo with People.

Haijiang Yan, Nick Chater, Christian Tsvetkov, Adam Sanborn

Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024

Modelling probability matching as a Bayesian sampling process.

Christian Tsvetkov, Haijiang Yan, Adam Sanborn

Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024

2021

Evaluation of Relationship Quality Within Dyads Through the Performance in Dual-Player Cooperative Tasks.

Haijiang Yan, Kai Yu, Guozhen Zhao

Proceedings of the Engineering Psychology and Cognitive Ergonomics, 2021

2020

Semantic Guided and Response Times Bounded Top-k Similarity Search over Knowledge Graphs.

Yuxiang Wang, Arijit Khan, Tianxing Wu, Jiahui Jin, Haijiang Yan

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019

Semantic locality-based approximate knowledge graph query.

Yuxiang Wang, Zhangpeng Ge, Haijiang Yan, Xiaoliang Xu, Yixing Xia

Concurr. Comput. Pract. Exp., 2019

SimG: A Semantic Based Graph Similarity Search Engine.

Haijiang Yan, Yuxiang Wang, Xiaoliang Xu

Proceedings of the Seventh International Conference on Advanced Cloud and Big Data, 2019