Predictability in human mobility: From individual to collective (vision paper)

Y Zhang, Z Yu, M Dang, E Xu, B Guo, Y Liang… - ACM Transactions on …, 2024 - dl.acm.org
Human mobility is the foundation of urban dynamics and its prediction significantly benefits
various downstream location-based services. Nowadays, while deep learning approaches …

A general tail item representation enhancement framework for sequential recommendation

M Cheng, Q Liu, W Zhang, Z Liu, H Zhao… - Frontiers of Computer …, 2024 - Springer
Recently advancements in deep learning models have significantly facilitated the
development of sequential recommender systems (SRS). However, the current deep model …

Upper bound on the predictability of rating prediction in recommender systems

E Xu, K Zhao, Z Yu, H Wang, S Ren, H Cui… - Information Processing …, 2025 - Elsevier
The task of rating prediction has undergone extensive scrutiny, employing diverse modeling
approaches to enhance accuracy. However, it remains uncertain whether a maximum …

Limits of predictability in top-N recommendation

E Xu, K Zhao, Z Yu, Y Zhang, B Guo, L Yao - Information Processing & …, 2024 - Elsevier
Top-N recommendation systems aim to recommend a small group of N items to users from
many products, and the accuracy of the system is a commonly used metric to evaluate its …

SynthoMinds: Bridging human programming intuition with retrieval, analogy, and reasoning in program synthesis

Q Gou, Y Dong, Q Ke - Journal of Systems and Software, 2024 - Elsevier
Program synthesis revolutionizes software development by automatically generating
executable programs based on given specifications. An emerging trend is to augment …

Reduced implication-bias logic loss for neuro-symbolic learning

HY He, WZ Dai, M Li - Machine Learning, 2024 - Springer
Integrating logical reasoning and machine learning by approximating logical inference with
differentiable operators is a widely used technique in the field of Neuro-Symbolic Learning …

InteractNet: Social Interaction Recognition for Semantic-rich Videos

Y Lyu, P Qin, T Xu, C Zhu, E Chen - ACM Transactions on Multimedia …, 2024 - dl.acm.org
The overwhelming surge of online video platforms has raised an urgent need for social
interaction recognition techniques. Compared with simple short-term actions, long-term …

Cross-Grained Neural Collaborative Filtering for Recommendation

C Li, Y Kou, D Shen, T Nie, D Li - IEEE Access, 2024 - ieeexplore.ieee.org
Collaborative Filtering has achieved great success in capturing users' preferences over
items. However, existing techniques only consider limited collaborative signals, leading to …