A Neural Citation Count Prediction Model based on Peer Review Text. - Siqing Li; Wayne Xin Zhao; Eddy Jing Yin; Ji-Rong Wen (EMNLP/IJCNLP (1), 2019)

Discrete least-squares radial basis functions approximations. - Siqing Li; Leevan Ling; Ka Chun Cheung (Appl. Math. Comput., 2019)

Altimeter Observation-Based Eddy Nowcasting Using an Improved Conv-LSTM Network. - Chunyong Ma; Siqing Li; Anni Wang; Jie Yang 056; Ge Chen 002 (Remote. Sens., 2019)

Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network. - Junyi Li; Siqing Li; Wayne Xin Zhao; Gaole He; Zhicheng Wei; Nicholas Jing Yuan; Ji-Rong Wen (CIKM, 2020)

Debiasing Learning based Cross-domain Recommendation. - Siqing Li; Liuyi Yao; Shanlei Mu; Wayne Xin Zhao; Yaliang Li; Tonglei Guo; Bolin Ding; Ji-Rong Wen (KDD, 2021)

Interpretable Aspect-Aware Capsule Network for Peer Review Based Citation Count Prediction. - Siqing Li; Yaliang Li; Wayne Xin Zhao; Bolin Ding; Ji-Rong Wen (ACM Trans. Inf. Syst., 2022)

Knowledge-Guided Disentangled Representation Learning for Recommender Systems. - Shanlei Mu; Yaliang Li; Wayne Xin Zhao; Siqing Li; Ji-Rong Wen (ACM Trans. Inf. Syst., 2022)

Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation. - Jin-Duk Park; Siqing Li; Xin Cao 001; Won-Yong Shin (KDD, 2023)

Realistic pattern formations on rough surfaces. - Siqing Li; Leevan Ling; Steven J. Ruuth; Xuemeng Wang (CoRR, 2023)

Revisiting Attention Weights as Interpretations of Message-Passing Neural Networks. - Yong-Min Shin; Siqing Li; Xin Cao 001; Won-Yong Shin (CoRR, 2024)

LAMP: Learnable Meta-Path Guided Adversarial Contrastive Learning for Heterogeneous Graphs. - Siqing Li; Jin-Duk Park; Wei Huang 034; Xin Cao 001; Won-Yong Shin; Zhiqiang Xu 003 (CoRR, 2024)

Realistic Pattern Formations on Surfaces by Adding Arbitrary Roughness. - Siqing Li; Leevan Ling; Steven J. Ruuth; Xuemeng Wang (SIAM J. Appl. Math., 2024)

Faithful and Accurate Self-Attention Attribution for Message Passing Neural Networks via the Computation Tree Viewpoint. - Yong-Min Shin; Siqing Li; Xin Cao 001; Won-Yong Shin (AAAI, 2025)

Energy-conserving Kansa methods for Hamiltonian wave equations. - Xiaobin Li; Meng Chen 010; Zhengjie Sun; Leevan Ling; Siqing Li (Appl. Math. Comput., 2026)