Li Zhang - RankMe

17 papers A 3Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Explainable CTR Prediction via LLM Reasoning. WSDM Xiaohan Yu, Li Zhang, Chong Chen
2025	J	`jnl`	On the Stability of Graph Convolutional Neural Networks: A Probabilistic Perspective. CoRR Ning Zhang, Henry Kenlay, Li Zhang, Mihai Cucuringu, Xiaowen Dong
2024	J	`jnl`	Break the ID-Language Barrier: An Adaption Framework for Sequential Recommendation. CoRR Xiaohan Yu, Li Zhang, Xin Zhao, Yue Wang
2024	—	`conf`	DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction. ICAART (2) Zinuo You, Zijian Shi, Hongbo Bo, John Cartlidge, Li Zhang, Yan Ge
2024	J	`jnl`	DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction. CoRR Zinuo You, Zijian Shi, Hongbo Bo, John Cartlidge, Li Zhang, Yan Ge
2024	J	`jnl`	Explainable CTR Prediction via LLM Reasoning. CoRR Xiaohan Yu, Li Zhang, Chong Chen
2024	—	`conf`	Multi-stock Movements Classification: A Decoupled Graph Diffusion Neural Network Approach. ICAART (Revised Selected Paper, 2) Zinuo You, Zijian Shi, Hongbo Bo, John Cartlidge, Li Zhang, Yan Ge
2024	J	`jnl`	RA-Rec: An Efficient ID Representation Alignment Framework for LLM-based Recommendation. CoRR Xiaohan Yu, Li Zhang, Xin Zhao, Yue Wang, Zhongrui Ma
2024	—	`conf`	STEntConv: Predicting Disagreement between Reddit Users with Stance Detection and a Signed Graph Convolutional Network. LREC/COLING Isabelle Lorge, Li Zhang, Xiaowen Dong, Janet B. Pierrehumbert
2024	J	`jnl`	STEntConv: Predicting Disagreement with Stance Detection and a Signed Graph Convolutional Network. CoRR Isabelle Lorge, Li Zhang, Xiaowen Dong, Janet B. Pierrehumbert
2023	J	`jnl`	Trustworthiness-aware knowledge graph representation for recommendation. Knowl. Based Syst. Yan Ge, Jun Ma, Li Zhang, Xiang Li, Haiping Lu
2022	A	`conf`	A GNN-based Multi-task Learning Framework for Personalized Video Search. WSDM Li Zhang, Lei Shi, Jiashu Zhao, Juan Yang, Tianshu Lyu, Dawei Yin, Haiping Lu
2022	J	`jnl`	Knowledge-aware Neural Collective Matrix Factorization for Cross-domain Recommendation. CoRR Li Zhang, Yan Ge, Jun Ma, Jianmo Ni, Haiping Lu
2022	J	`jnl`	Node-Feature Convolution for Graph Convolutional Networks. Pattern Recognit. Li Zhang, Heda Song, Nikolaos Aletras, Haiping Lu
2020	A	`conf`	A Feature-Importance-Aware and Robust Aggregator for GCN. CIKM Li Zhang, Haiping Lu
2020	J	`jnl`	Hop-Hop Relation-aware Graph Neural Networks. CoRR Li Zhang, Yan Ge, Haiping Lu
2020	J	`jnl`	Unifying Homophily and Heterophily Network Transformation via Motifs. CoRR Yan Ge, Jun Ma, Li Zhang, Haiping Lu