Document Oriented Gap Filling of Definite Null Instantiation in FrameNet. - Ning Wang; Ru Li 001; Zhangzhang Lei; Zhiqiang Wang 005; Jingpan Jin (CCL, 2013)

SXUCFN-Core: STS Models Integrating FrameNet Parsing Information. - Sai Wang; Ru Li 001; Ruibo Wang; Zhiqiang Wang 005; Xia Zhang (*SEM@NAACL-HLT, 2013)

Implicit Role Linking on Chinese Discourse: Exploiting Explicit Roles and Frame-to-Frame Relations. - Ru Li 001; Juan Wu; Zhiqiang Wang 005; Qinghua Chai (ACL (1), 2015)

An Approach to Cold-Start Link Prediction: Establishing Connections between Non-Topological and Topological Information. - Zhiqiang Wang 005; Jiye Liang; Ru Li 001; Yuhua Qian (IEEE Trans. Knowl. Data Eng., 2016)

Exploiting user-to-user topic inclusion degree for link prediction in social-information networks. - Zhiqiang Wang 005; Jiye Liang; Ru Li 001 (Expert Syst. Appl., 2018)

A fusion probability matrix factorization framework for link prediction. - Zhiqiang Wang 005; Jiye Liang; Ru Li 001 (Knowl. Based Syst., 2018)

An accelerator for the logistic regression algorithm based on sampling on-demand. - Jiye Liang; Yunsheng Song; Deyu Li; Zhiqiang Wang 005; Chuangyin Dang (Sci. China Inf. Sci., 2020)

A fusion collaborative filtering method for sparse data in recommender systems. - Chenjiao Feng; Jiye Liang; Peng Song 004; Zhiqiang Wang 005 (Inf. Sci., 2020)

基于极端评分行为的相似度计算 (New Similarity Measure Based on Extremely Rating Behavior). - Chenjiao Feng; Jiye Liang; Peng Song 004; Zhiqiang Wang 005 (计算机科学, 2020)

Multi-Scale Variational Graph AutoEncoder for Link Prediction. - Zhihao Guo; Feng Wang 038; Kaixuan Yao; Jiye Liang; Zhiqiang Wang 005 (WSDM, 2022)

A Bayesian matrix factorization model for dynamic user embedding in recommender system. - Kaihan Zhang; Zhiqiang Wang 005; Jiye Liang; Xingwang Zhao (Frontiers Comput. Sci., 2022)

Graph Neural Networks with Interlayer Feature Representation for Image Super-Resolution. - Shenggui Tang; Kaixuan Yao; Jianqing Liang; Zhiqiang Wang 005; Jiye Liang (WSDM, 2023)

AGR: Reinforced Causal Agent-Guided Self-explaining Rationalization. - Yunxiao Zhao; Zhiqiang Wang 005; Xiaoli Li 001; Jiye Liang; Ru Li 001 (ACL (Short Papers), 2024)

A Comprehensive Overview of CFN From a Commonsense Perspective. - Ru Li 001; Yunxiao Zhao; Zhiqiang Wang 005; Xuefeng Su; Shaoru Guo; Yong Guan; Xiaoqi Han; Hongyan Zhao (Mach. Intell. Res., 2024)

Black-Box Adversarial Attack on Graph Neural Networks With Node Voting Mechanism. - Liangliang Wen; Jiye Liang; Kaixuan Yao; Zhiqiang Wang 005 (IEEE Trans. Knowl. Data Eng., 2024)

Counterfactual Task-augmented Meta-learning for Cold-start Sequential Recommendation. - Zhiqiang Wang 005; Jiayi Pan 006; Xingwang Zhao; Jianqing Liang; Chenjiao Feng; Kaixuan Yao (AAAI, 2025)

Graph Segmentation and Contrastive Enhanced Explainer for Graph Neural Networks. - Zhiqiang Wang 005; Jiayu Guo; Jianqing Liang; Jiye Liang; Shiying Cheng; Jiarong Zhang (AAAI, 2025)

GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning. - Jianqing Liang; Xinkai Wei; Min Chen; Zhiqiang Wang 005; Jiye Liang (AAAI, 2025)

LOG: A Local-to-Global Optimization Approach for Retrieval-based Explainable Multi-Hop Question Answering. - Hao Xu 014; Yunxiao Zhao; Jiayang Zhang; Zhiqiang Wang 005; Ru Li 001 (COLING, 2025)

Multilayer Graph Clustering with Lightweight Contrastive Learning. - Wentao Li; Xingwang Zhao; Zhiqiang Wang 005 (ICMR, 2025)

Hawkes Point Process-enhanced Dynamic Graph Neural Network. - Zhiqiang Wang 005; Baijing Hu; Kaixuan Yao; Jiye Liang (WSDM, 2025)