Shuo Liu

According to our database, Shuo Liu authored at least 11 papers between 2023 and 2026.

Collaborative distances:

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

2026

Embedding Enhancement via Fine-Tuned Language Models for Learner-Item Cognitive Modeling.

Yuanhao Liu, Zihan Zhou, Kaiying Wu, Shuo Liu, Yiyang Huang, Jiajun Guo, Aimin Zhou, Hong Qian

Proceedings of the ACM Web Conference 2026, 2026

2025

AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language Embeddings.

Guoqing Hu, An Zhang, Shuo Liu, Zhibo Cai, Xun Yang, Xiang Wang

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Language Representation Favored Zero-Shot Cross-Domain Cognitive Diagnosis.

Shuo Liu, Zihan Zhou, Yuanhao Liu, Jing Zhang, Hong Qian

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

A Dual-Fusion Cognitive Diagnosis Framework for Open Student Learning Environments.

Yuanhao Liu, Shuo Liu, Yimeng Liu, Chanjin Zheng, Wei Zhang, Hong Qian

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Preference Diffusion for Recommendation.

Shuo Liu, An Zhang, Guoqing Hu, Hong Qian, Tat-Seng Chua

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Inductive Cognitive Diagnosis for Fast Student Learning in Web-Based Online Intelligent Education Systems.

Shuo Liu, Junhao Shen, Hong Qian, Aimin Zhou

CoRR, 2024

Inductive Cognitive Diagnosis for Fast Student Learning in Web-Based Intelligent Education Systems.

Shuo Liu, Junhao Shen, Hong Qian, Aimin Zhou

Proceedings of the ACM on Web Conference 2024, 2024

A Simple yet Scalable Granger Causal Structural Learning Approach for Topological Event Sequences.

Mingjia Li, Shuo Liu, Hong Qian, Aimin Zhou

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Capturing Homogeneous Influence among Students: Hypergraph Cognitive Diagnosis for Intelligent Education Systems.

Junhao Shen, Hong Qian, Shuo Liu, Wei Zhang, Bo Jiang, Aimin Zhou

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

ORCDF: An Oversmoothing-Resistant Cognitive Diagnosis Framework for Student Learning in Online Education Systems.

Hong Qian, Shuo Liu, Mingjia Li, Bingdong Li, Zhi Liu, Aimin Zhou

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

QCCDM: A Q-Augmented Causal Cognitive Diagnosis Model for Student Learning.

Shuo Liu, Hong Qian, Mingjia Li, Aimin Zhou

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023