Haoran Yang

22 papers A* 5B 1Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A* conf
C-HyPOD: Causal Hyperbolic Representation Learning with Prototype Orthogonal Disentanglement for Graph Out-of-Distribution Recommendation.
WWW
Jiahao Liang, Yutian Xiao, Haoran Yang, Zhiwen Yu, Jia-Nan Liu, Kaixiang Yang
2026 J jnl
Democratic Recommendation With User and Item Representatives Produced by Graph Condensation.
IEEE Trans. Knowl. Data Eng.
Jiahao Liang, Haoran Yang, Xiangyu Zhao, Zhiwen Yu, Guandong Xu, Wanyu Wang, Kaixiang Yang
2025 J jnl
Causal Time-aware News Recommendations with Large Language Models.
ACM Trans. Inf. Syst.
Sirui Huang, Qian Li, Haoran Yang, Dianer Yu, Qing Li, Guandong Xu
2025 J jnl
Democratic Recommendation with User and Item Representatives Produced by Graph Condensation.
CoRR
Jiahao Liang, Haoran Yang, Xiangyu Zhao, Zhiwen Yu, Guandong Xu, Wanyu Wang, Kaixiang Yang
2025 J jnl
From Occupations to Tasks: A New Perspective on Automatability Prediction Using BERT.
CoRR
Dawei Xu, Haoran Yang, Marian-Andrei Rizoiu, Guandong Xu
2025 J jnl
Large Language Model Enhanced Graph Invariant Contrastive Learning for Out-of-Distribution Recommendation.
CoRR
Jiahao Liang, Haoran Yang, Xiangyu Zhao, Zhiwen Yu, Mianjie Li, Chuan Shi, Kaixiang Yang
2024 J jnl
LATEX-GCL: Large Language Models (LLMs)-Based Data Augmentation for Text-Attributed Graph Contrastive Learning.
CoRR
Haoran Yang, Xiangyu Zhao, Sirui Huang, Qing Li, Guandong Xu
2024 J jnl
Multi-Level Graph Knowledge Contrastive Learning.
IEEE Trans. Knowl. Data Eng.
Haoran Yang, Yuhao Wang, Xiangyu Zhao, Hongxu Chen, Hongzhi Yin, Qing Li, Guandong Xu
2023 A* conf
An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations.
NeurIPS
Haoran Yang, Xiangyu Zhao, Yicong Li, Hongxu Chen, Guandong Xu
2023 — conf
From Occupations to Tasks: A New Perspective on Automatability Prediction Using BERT.
BESC
Dawei Xu, Haoran Yang, Marian-Andrei Rizoiu, Guandong Xu
2023 A* conf
Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning.
WWW
Haoran Yang, Hongxu Chen, Sixiao Zhang, Xiangguo Sun, Qian Li, Xiangyu Zhao, Guandong Xu
2023 J jnl
Mitigating the performance sacrifice in DP-satisfied federated settings through graph contrastive learning.
Inf. Sci.
Haoran Yang, Xiangyu Zhao, Muyang Li, Hongxu Chen, Guandong Xu
2022 — conf
Being Automated or Not? Risk Identification of Occupations with Graph Neural Networks.
ADMA (1)
Dawei Xu, Haoran Yang, Marian-Andrei Rizoiu, Guandong Xu
2022 J jnl
Being Automated or Not? Risk Identification of Occupations with Graph Neural Networks.
CoRR
Dawei Xu, Haoran Yang, Marian-Andrei Rizoiu, Guandong Xu
2022 A* conf
Dual Space Graph Contrastive Learning.
WWW
Haoran Yang, Hongxu Chen, Shirui Pan, Lin Li, Philip S. Yu, Guandong Xu
2022 J jnl
Dual Space Graph Contrastive Learning.
CoRR
Haoran Yang, Hongxu Chen, Shirui Pan, Lin Li, Philip S. Yu, Guandong Xu
2022 J jnl
Federated Graph Contrastive Learning.
CoRR
Haoran Yang, Xiangyu Zhao, Muyang Li, Hongxu Chen, Guandong Xu
2022 J jnl
Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning.
CoRR
Haoran Yang, Hongxu Chen, Sixiao Zhang, Xiangguo Sun, Qian Li, Guandong Xu
2022 B conf
Stage Evolving Graph Neural Network based Dynamic Recommendation with Life Cycles.
IJCNN
Lin Meng, Haoran Yang, Jiawei Zhang
2021 — conf
Graph Data Mining in Recommender Systems.
WISE (2)
Hongxu Chen, Yicong Li, Haoran Yang
2021 A* conf
Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation.
ICDM
Haoran Yang, Hongxu Chen, Lin Li, Philip S. Yu, Guandong Xu
2021 J jnl
Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation.
CoRR
Haoran Yang, Hongxu Chen, Lin Li, Philip S. Yu, Guandong Xu