Predicting potential side effects of drugs by recommender methods and ensemble learning. - Wen Zhang 008; Hua Zou; Longqiang Luo; Qianchao Liu; Weijian Wu; Wenyi Xiao (Neurocomputing, 2016)

Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction. - Wenyi Xiao; Huan Zhao 002; Haojie Pan; Yangqiu Song; Vincent W. Zheng; Qiang Yang 001 (KDD, 2019)

Vertex-reinforced Random Walk for Network Embedding. - Wenyi Xiao; Huan Zhao 002; Vincent W. Zheng; Yangqiu Song (SDM, 2020)

Social support, belongingness, and value co-creation behaviors in online health communities. - Shan Liu 004; Wenyi Xiao; Chao Fang; Xing Zhang 009; Jiabao Lin (Telematics Informatics, 2020)

Neural PathSim for Inductive Similarity Search in Heterogeneous Information Networks. - Wenyi Xiao; Huan Zhao 002; Vincent W. Zheng; Yangqiu Song (CIKM, 2021)

Social explorative attention based recommendation for content distribution platforms. - Wenyi Xiao; Huan Zhao 002; Haojie Pan; Yangqiu Song; Vincent W. Zheng; Qiang Yang 001 (Data Min. Knowl. Discov., 2021)

GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection. - Zhanguang Zhang; Didier Chételat; Joseph Cotnareanu; Amur Ghose; Wenyi Xiao; Hui-Ling Zhen; Yingxue Zhang 001; Jianye Hao; Mark Coates; Mingxuan Yuan (KDD, 2024)

IB-Net: Initial Branch Network for Variable Decision in Boolean Satisfiability. - Tsz Ho Chan; Wenyi Xiao; Junhua Huang; Hui-Ling Zhen; Guangji Tian; Mingxuan Yuan (CoRR, 2024)

HDLdebugger: Streamlining HDL debugging with Large Language Models. - Xufeng Yao; Haoyang Li 002; Tsz Ho Chan; Wenyi Xiao; Mingxuan Yuan; Yu Huang 005; Lei Chen 002; Bei Yu 001 (CoRR, 2024)

Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback. - Wenyi Xiao; Ziwei Huang; Leilei Gan; Wanggui He; Haoyuan Li 002; Zhelun Yu; Hao Jiang 014; Fei Wu 001; Linchao Zhu (CoRR, 2024)

A Comprehensive Survey of Datasets, Theories, Variants, and Applications in Direct Preference Optimization. - Wenyi Xiao; Zechuan Wang; Leilei Gan; Shuai Zhao 007; Wanggui He; Luu Anh Tuan; Long Chen 016; Hao Jiang 014; Zhou Zhao 001; Fei Wu 001 (CoRR, 2024)

MARS: Mixture of Auto-Regressive Models for Fine-grained Text-to-image Synthesis. - Wanggui He; Siming Fu; Mushui Liu; Xierui Wang; Wenyi Xiao; Fangxun Shu; Yi Wang; Lei Zhang 006; Zhelun Yu; Haoyuan Li 002; Ziwei Huang; Leilei Gan; et al. (AAAI, 2025)

Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback. - Wenyi Xiao; Ziwei Huang; Leilei Gan; Wanggui He; Haoyuan Li 002; Zhelun Yu; Fangxun Shu; Hao Jiang 014; Linchao Zhu (AAAI, 2025)

Fine-tuning Large Language Models for Improving Factuality in Legal Question Answering. - Yinghao Hu; Leilei Gan; Wenyi Xiao; Kun Kuang; Fei Wu 001 (COLING, 2025)

Meta-path based proximity learning in heterogeneous information networks. - Wenyi Xiao; Huan Zhao 002; Vincent W. Zheng; Yangqiu Song (Data Min. Knowl. Discov., 2025)

Graph neural network based time estimator for SAT solver. - Jiawei Liu 006; Wenyi Xiao; Hongtao Cheng; Chuan Shi 001 (Int. J. Mach. Learn. Cybern., 2025)

Fast-Slow Thinking for Large Vision-Language Model Reasoning. - Wenyi Xiao; Leilei Gan; Weilong Dai; Wanggui He; Ziwei Huang; Haoyuan Li 002; Fangxun Shu; Zhelun Yu; Peng Zhang 075; Hao Jiang 014; Fei Wu 001 (CoRR, 2025)