A Network-Specific Markov Random Field Approach to Community Detection. - Dongxiao He; Xinxin You; Zhiyong Feng 002; Di Jin 001; Xue Yang; Weixiong Zhang (AAAI, 2018)

Incorporating Network Embedding into Markov Random Field for Better Community Detection. - Di Jin 001; Xinxin You; Weihao Li; Dongxiao He; Peng Cui; Françoise Fogelman-Soulié; Tanmoy Chakraborty 002 (AAAI, 2019)

Tensor Graph Convolutional Networks for Text Classification. - Xien Liu; Xinxin You; Xiao Zhang 001; Ji Wu 002; Ping Lv (AAAI, 2020)

Label-guided Learning for Text Classification. - Xien Liu; Song Wang; Xiao Zhang 001; Xinxin You; Ji Wu 002; Dejing Dou (CoRR, 2020)

THiFLY Research at SemEval-2023 Task 7: A Multi-granularity System for CTR-based Textual Entailment and Evidence Retrieval. - Yuxuan Zhou 002; Ziyu Jin; Meiwei Li; Miao Li 003; Xien Liu; Xinxin You; Ji Wu 002 (SemEval@ACL, 2023)

Evaluation and development of STEAM teachers' computational thinking skills: Analysis of multiple influential factors. - Lihui Sun; Xinxin You; Danhua Zhou (Educ. Inf. Technol., 2023)

A typical sample-driven learning framework for automatic disease diagnosis. - Chenwei Yan; Xinxin You; Xiangling Fu; Xien Liu; Ji Wu 002 (Appl. Soft Comput., 2024)

Graph-Based Cross-Granularity Message Passing on Knowledge-Intensive Text. - Chenwei Yan; Xiangling Fu; Xinxin You; Ji Wu 002; Xien Liu (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training. - Xinxin You; Xien Liu; Qixin Sun; Huan Zhang; Kaiyin Zhou; Shaohui Liu; Guoping Hu; ShiJin Wang; Si Liu; Ji Wu 002 (CoRR, 2025)