Yang Liu

According to our database, Yang Liu authored at least 35 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Passing on Wisdom: LLM-Driven Cascaded Knowledge Distillation for Sequential Recommendation.

Xiang Ao, Yiran Qiao, Ningtao Wang, Xing Fu, Yang Liu, Thapana Boonchoo, Weiqiang Wang, Qing He, Xueqi Cheng

IEEE Trans. Knowl. Data Eng., June, 2026

Deja Vu in Plots: Leveraging Cross-Session Evidence with Retrieval-Augmented LLMs for Live Streaming Risk Assessment.

Yiran Qiao, Xiang Ao, Jing Chen, Yang Liu, Qiwei Zhong, Qing He

CoRR, January, 2026

Graph-Agnostic Linear Transformers.

Zhiyu Guo, Yang Liu, Xiang Ao, Yateng Tang, Xinhuan Chen, Xuehao Zheng, Qing He

Neural Networks, 2026

A²GBD: Attack-Agnostic Graph Backdoor Defense.

Chenxu Du, Yang Liu, Xingtong Yu, Zhuoer Xu, Yang Liu, Tianrui Li

Proceedings of the ACM Web Conference 2026, 2026

A²GBD: Attack-Agnostic Graph Backdoor Defense.

Chenxu Du, Yang Liu, Xingtong Yu, Zhuoer Xu, Yang Liu, Tianrui Li

Proceedings of the ACM Web Conference 2026, 2026

Robust Graph Learning on the Web: Challenges, Methods, and Applications.

Xiang Ao, Yang Liu, Guansong Pang, Yuanhao Ding, Hezhe Qiao, Dawei Cheng, Qing He

Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

Live or Lie: Action-Aware Capsule Multiple Instance Learning for Risk Assessment in Live Streaming Platforms.

Yiran Qiao, Jing Chen, Xiang Ao, Qiwei Zhong, Yang Liu, Qing He

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

Panoramic Interests: Stylistic-Content Aware Personalized Headline Generation.

Junhong Lian, Xiang Ao, Xinyu Liu, Yang Liu, Qing He

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

SPEAR: A Structure-Preserving Manipulation Method for Graph Backdoor Attacks.

Yuanhao Ding, Yang Liu, Yugang Ji, Weigao Wen, Qing He, Xiang Ao

Proceedings of the ACM on Web Conference 2025, 2025

LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework.

Yiran Qiao, Xiang Ao, Yang Liu, Jiarong Xu, Xiaoqian Sun, Qing He

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

GRASP: Differentially Private Graph Reconstruction Defense with Structured Perturbation.

Zhiyu Guo, Yang Liu, Xiang Ao, Qing He

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Dilution of Unreliable Information: Learning in Graph with Noisy Structures and Absent Attributes.

Xinxin Li, Yang Liu, Siyong Xu, Weigao Wen, Qing He, Xiang Ao

Proceedings of the IEEE International Conference on Data Mining, 2025

Domain-aware Node Representation Learning for Graph Out-of-Distribution Generalization.

Yi Qiao, Yang Liu, Qing He, Xiang Ao

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

OFTEN: Graph Invariant Learning via Soft Environment Inference.

Yang Liu, Zikun Zhang, Xiang Ao, Lingxiang Tian, Qing He

Proceedings of the Database Systems for Advanced Applications, 2025

Dynamic Graph Learning with Static Relations for Credit Risk Assessment.

Qi Yuan, Yang Liu, Yateng Tang, Xinhuan Chen, Xuehao Zheng, Qing He, Xiang Ao

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Improving fraud detection via imbalanced graph structure learning.

Lingfei Ren, Ruimin Hu, Yang Liu, Dengshi Li, Junhang Wu, Yilong Zang, Wenyi Hu

Mach. Learn., 2024

Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective.

Kuan Li, Yiwen Chen, Yang Liu, Jin Wang, Qing He, Minhao Cheng, Xiang Ao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

F2GNN: An Adaptive Filter with Feature Segmentation for Graph-Based Fraud Detection.

Guanghui Hu, Yang Liu, Qing He, Xiang Ao

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Dynamic graph neural network-based fraud detectors against collaborative fraudsters.

Lingfei Ren, Ruimin Hu, Dengshi Li, Yang Liu, Junhang Wu, Yilong Zang, Wenyi Hu

Knowl. Based Syst., October, 2023

FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs.

Yang Liu, Xiang Ao, Fuli Feng, Yunshan Ma, Kuan Li, Tat-Seng Chua, Qing He

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Revisiting Graph Adversarial Attack and Defense From a Data Distribution Perspective.

Kuan Li, Yang Liu, Xiang Ao, Qing He

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding : Extended Abstract.

Yang Liu, Xiang Ao, Linfeng Dong, Chao Zhang, Jin Wang, Qing He

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Spatiotemporal Activity Modeling via Hierarchical Cross-Modal Embedding.

Yang Liu, Xiang Ao, Linfeng Dong, Chao Zhang, Jin Wang, Qing He

IEEE Trans. Knowl. Data Eng., 2022

AUC-oriented Graph Neural Network for Fraud Detection.

Mengda Huang, Yang Liu, Xiang Ao, Kuan Li, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

UD-GNN: Uncertainty-aware Debiased Training on Semi-Homophilous Graphs.

Yang Liu, Xiang Ao, Fuli Feng, Qing He

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN.

Kuan Li, Yang Liu, Xiang Ao, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Bi-Level Selection via Meta Gradient for Graph-Based Fraud Detection.

Linfeng Dong, Yang Liu, Xiang Ao, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He

Proceedings of the Database Systems for Advanced Applications, 2022

Explainable Graph-based Fraud Detection via Neural Meta-graph Search.

Zidi Qin, Yang Liu, Qing He, Xiang Ao

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Temporal high-order proximity aware behavior analysis on Ethereum.

Xiang Ao, Yang Liu, Zidi Qin, Yi Sun, Qing He

World Wide Web, 2021

Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection.

Yang Liu, Xiang Ao, Zidi Qin, Jianfeng Chi, Jinghua Feng, Hao Yang, Qing He

Proceedings of the WWW '21: The Web Conference 2021, 2021

2020

Financial Defaulter Detection on Online Credit Payment via Multi-view Attributed Heterogeneous Information Network.

Qiwei Zhong, Yang Liu, Xiang Ao, Binbin Hu, Jinghua Feng, Jiayu Tang, Qing He

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Alike and Unlike: Resolving Class Imbalance Problem in Financial Credit Risk Assessment.

Yang Liu, Xiang Ao, Qiwei Zhong, Jinghua Feng, Jiayu Tang, Qing He

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction.

Yufei Feng, Fuyu Lv, Binbin Hu, Fei Sun, Kun Kuang, Yang Liu, Qingwen Liu, Wenwu Ou

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Grid-based DBSCAN: Indexing and inference.

Thapana Boonchoo, Xiang Ao, Yang Liu, Weizhong Zhao, Fuzhen Zhuang, Qing He

Pattern Recognit., 2019

2018

Free-Rider Episode Screening via Dual Partition Model.

Xiang Ao, Yang Liu, Zhen Huang, Luo Zuo, Qing He

Proceedings of the Database Systems for Advanced Applications, 2018