A Hybrid Recommendation Algorithm Based on Heuristic Similarity and Trust Measure. - Chao Yang 015; Xinghe Chen; Tingting Song; Bin Jiang 006; Qin Liu (TrustCom/BigDataSE, 2018)

Leader-Follower Neural Networks with Local Error Signals Inspired by Complex Collectives. - Chenzhong Yin; Mingxi Cheng; Xiongye Xiao; Xinghe Chen; Shahin Nazarian; Andrei Irimia; Paul Bogdan (CoRR, 2023)

Discovering Malicious Signatures in Software from Structural Interactions. - Chenzhong Yin; Hantang Zhang; Mingxi Cheng; Xiongye Xiao; Xinghe Chen; Xin Ren; Paul Bogdan (ICASSP, 2024)

Code Soliloquies for Accurate Calculations in Large Language Models. - Shashank Sonkar; Xinghe Chen; Myco Le; Naiming Liu; Debshila Basu Mallick; Richard G. Baraniuk (LAK, 2024)

LLM-based Cognitive Models of Students with Misconceptions. - Shashank Sonkar; Xinghe Chen; Naiming Liu; Richard G. Baraniuk; Mrinmaya Sachan (CoRR, 2024)

Turing-Like Test for Personalized Educational AI. - Shashank Sonkar; Naiming Liu; Xinghe Chen; Richard G. Baraniuk (AIED (6), 2025)

The Imitation Game for Educational AI. - Shashank Sonkar; Naiming Liu; Xinghe Chen; Richard G. Baraniuk (CoRR, 2025)

Graph-based Approaches and Functionalities in Retrieval-Augmented Generation: A Comprehensive Survey. - Zulun Zhu; Tiancheng Huang; Kai Wang 057; Junda Ye; Xinghe Chen; Siqiang Luo (CoRR, 2025)