Zhiqiang Wang

29 papers A* 4A 3B 2Journal 15Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Hierarchical long and short-term user preference modeling for sequential recommendation.
Frontiers Comput. Sci.
Zhiqiang Wang, Yu Zhou, Peng Song, Jiayi Pan, Jiye Liang
2026 J jnl
Learnable Game-Theoretic Policy Optimization for Data-Centric Self-Explanation Rationalization.
IEEE Trans. Knowl. Data Eng.
Yunxiao Zhao, Zhiqiang Wang, Xingtong Yu, Xiaoli Li, Jiye Liang, Ru Li
2026 J jnl
Stability-aware robust deep graph matching with outliers.
Appl. Soft Comput.
Yu Xie, Yuan Li, Zhiqiang Wang, Hangyuan Du, Ming Li
2025 A* conf
Counterfactual Task-augmented Meta-learning for Cold-start Sequential Recommendation.
AAAI
Zhiqiang Wang, Jiayi Pan, Xingwang Zhao, Jianqing Liang, Chenjiao Feng, Kaixuan Yao
2025 — conf
Explaining Black-Box Language Models with Knowledge Probing Systems: A Post-hoc Explanation Perspective.
DASFAA (6)
Yunxiao Zhao, Hao Xu, Zhiqiang Wang, Xiaoli Li, Jiye Liang, Ru Li
2025 J jnl
Explaining Black-box Language Models with Knowledge Probing Systems: A Post-hoc Explanation Perspective.
CoRR
Yunxiao Zhao, Hao Xu, Zhiqiang Wang, Xiaoli Li, Jiye Liang, Ru Li
2025 A* conf
GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning.
AAAI
Jianqing Liang, Xinkai Wei, Min Chen, Zhiqiang Wang, Jiye Liang
2025 A* conf
Graph Segmentation and Contrastive Enhanced Explainer for Graph Neural Networks.
AAAI
Zhiqiang Wang, Jiayu Guo, Jianqing Liang, Jiye Liang, Shiying Cheng, Jiarong Zhang
2025 A conf
Hawkes Point Process-enhanced Dynamic Graph Neural Network.
WSDM
Zhiqiang Wang, Baijing Hu, Kaixuan Yao, Jiye Liang
2025 B conf
LOG: A Local-to-Global Optimization Approach for Retrieval-based Explainable Multi-Hop Question Answering.
COLING
Hao Xu, Yunxiao Zhao, Jiayang Zhang, Zhiqiang Wang, Ru Li
2025 J jnl
Learnable Game-theoretic Policy Optimization for Data-centric Self-explanation Rationalization.
CoRR
Yunxiao Zhao, Zhiqiang Wang, Xingtong Yu, Xiaoli Li, Jiye Liang, Ru Li
2025 A* conf
ML2-GCL: Manifold Learning Inspired Lightweight Graph Contrastive Learning.
ICML
Jianqing Liang, Zhiqiang Li, Xinkai Wei, Yuan Liu, Zhiqiang Wang
2025 B conf
Multilayer Graph Clustering with Lightweight Contrastive Learning.
ICMR
Wentao Li, Xingwang Zhao, Zhiqiang Wang
2024 J jnl
A Comprehensive Overview of CFN From a Commonsense Perspective.
Mach. Intell. Res.
Ru Li, Yunxiao Zhao, Zhiqiang Wang, Xuefeng Su, Shaoru Guo, Yong Guan, Xiaoqi Han, Hongyan Zhao
2024 — conf
AGR: Reinforced Causal Agent-Guided Self-explaining Rationalization.
ACL (Short Papers)
Yunxiao Zhao, Zhiqiang Wang, Xiaoli Li, Jiye Liang, Ru Li
2024 J jnl
Black-Box Adversarial Attack on Graph Neural Networks With Node Voting Mechanism.
IEEE Trans. Knowl. Data Eng.
Liangliang Wen, Jiye Liang, Kaixuan Yao, Zhiqiang Wang
2024 J jnl
GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning.
CoRR
Jianqing Liang, Xinkai Wei, Min Chen, Zhiqiang Wang, Jiye Liang
2023 A conf
Graph Neural Networks with Interlayer Feature Representation for Image Super-Resolution.
WSDM
Shenggui Tang, Kaixuan Yao, Jianqing Liang, Zhiqiang Wang, Jiye Liang
2022 J jnl
A Bayesian matrix factorization model for dynamic user embedding in recommender system.
Frontiers Comput. Sci.
Kaihan Zhang, Zhiqiang Wang, Jiye Liang, Xingwang Zhao
2022 A conf
Multi-Scale Variational Graph AutoEncoder for Link Prediction.
WSDM
Zhihao Guo, Feng Wang, Kaixuan Yao, Jiye Liang, Zhiqiang Wang
2020 J jnl
A fusion collaborative filtering method for sparse data in recommender systems.
Inf. Sci.
Chenjiao Feng, Jiye Liang, Peng Song, Zhiqiang Wang
2020 J jnl
An accelerator for the logistic regression algorithm based on sampling on-demand.
Sci. China Inf. Sci.
Jiye Liang, Yunsheng Song, Deyu Li, Zhiqiang Wang, Chuangyin Dang
2020 J jnl
基于极端评分行为的相似度计算 (New Similarity Measure Based on Extremely Rating Behavior).
计算机科学
Chenjiao Feng, Jiye Liang, Peng Song, Zhiqiang Wang
2018 J jnl
A fusion probability matrix factorization framework for link prediction.
Knowl. Based Syst.
Zhiqiang Wang, Jiye Liang, Ru Li
2018 J jnl
Exploiting user-to-user topic inclusion degree for link prediction in social-information networks.
Expert Syst. Appl.
Zhiqiang Wang, Jiye Liang, Ru Li
2016 J jnl
An Approach to Cold-Start Link Prediction: Establishing Connections between Non-Topological and Topological Information.
IEEE Trans. Knowl. Data Eng.
Zhiqiang Wang, Jiye Liang, Ru Li, Yuhua Qian
2015 — conf
Implicit Role Linking on Chinese Discourse: Exploiting Explicit Roles and Frame-to-Frame Relations.
ACL (1)
Ru Li, Juan Wu, Zhiqiang Wang, Qinghua Chai
2013 — conf
Document Oriented Gap Filling of Definite Null Instantiation in FrameNet.
CCL
Ning Wang, Ru Li, Zhangzhang Lei, Zhiqiang Wang, Jingpan Jin
2013 — conf
SXUCFN-Core: STS Models Integrating FrameNet Parsing Information.
*SEM@NAACL-HLT
Sai Wang, Ru Li, Ruibo Wang, Zhiqiang Wang, Xia Zhang