Liang-Bo Ning

According to our database, Liang-Bo Ning authored at least 23 papers between 2022 and 2026.

Collaborative distances:

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

2026

Retrieval-Augmented Purifier for Robust LLM-Empowered Recommendation.

Liang-Bo Ning, Wenqi Fan, Qing Li

ACM Trans. Inf. Syst., May, 2026

SSD4Rec: A Structured State Space Duality Model for Efficient Sequential Recommendation.

Yifeng Zhang, Haohao Qu, Liang-Bo Ning, Wenqi Fan, Qing Li

ACM Trans. Inf. Syst., February, 2026

Inference Cost Attacks for Retrieval-Augmented Large Language Models.

Chengliang Liu, Liangbo Ning, Yujuan Ding, Wenqi Fan

Proceedings of the ACM Web Conference 2026, 2026

Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs.

Jiani Huang, Shijie Wang, Liangbo Ning, Wenqi Fan, Shuaiqiang Wang, Dawei Yin, Qing Li

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

When Efficiency Becomes a Vulnerability: Computational Cost Attacks on WebAgents.

Liang-Bo Ning, Yuchen Zhu, Heqing Huang, Xin Wang, Yi Chang, Qing Li, Wenqi Fan

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

ReRec: Reasoning-Augmented LLM-based Recommendation Assistant via Reinforcement Fine-tuning.

Jiani Huang, Shijie Wang, Liang-Bo Ning, Wenqi Fan, Qing Li

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Multilevel Distribution Alignment for Multisource Universal Domain Adaptation.

Liang-Bo Ning, Zuo-Wei Zhang, Weiping Ding, Dian Shao, Yining Zhu

IEEE Trans. Neural Networks Learn. Syst., September, 2025

Belief-Based Fuzzy and Imprecise Clustering for Arbitrary Data Distributions.

Zuo-wei Zhang, Zhun-ga Liu, Liang-Bo Ning, Hongpeng Tian, Binglu Wang

IEEE Trans. Fuzzy Syst., August, 2025

mKG-RAG: Multimodal Knowledge Graph-Enhanced RAG for Visual Question Answering.

Xu Yuan, Liang-Bo Ning, Wenqi Fan, Qing Li

CoRR, August, 2025

Exploring Backdoor Attack and Defense for LLM-empowered Recommendations.

Liangbo Ning, Wenqi Fan, Qing Li

CoRR, April, 2025

Representation of Imprecision in Deep Neural Networks for Image Classification.

Zuowei Zhang, Zhunga Liu, Liangbo Ning, Arnaud Martin, Jiexuan Xiong

IEEE Trans. Neural Networks Learn. Syst., January, 2025

A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models.

Liangbo Ning, Ziran Liang, Zhuohang Jiang, Haohao Qu, Yujuan Ding, Wenqi Fan, Xiaoyong Wei, Shanru Lin, Hui Liu, Philip S. Yu, Qing Li

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

Towards Retrieval-Augmented Large Language Models: Data Management and System Design.

Wenqi Fan, Pangjing Wu, Yujuan Ding, Liang-Bo Ning, Shijie Wang, Qing Li

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

2024

A New Progressive Multisource Domain Adaptation Network With Weighted Decision Fusion.

Zhun-ga Liu, Liang-Bo Ning, Zuo-Wei Zhang

IEEE Trans. Neural Networks Learn. Syst., January, 2024

Joint Universal Adversarial Perturbations with Interpretations.

Liang-Bo Ning, Zeyu Dai, Wenqi Fan, Jingran Su, Chao Pan, Luning Wang, Qing Li

CoRR, 2024

A Survey of Mamba.

Haohao Qu, Liangbo Ning, Rui An, Wenqi Fan, Tyler Derr, Hui Liu, Xin Xu, Qing Li

CoRR, 2024

A Survey on RAG Meets LLMs: Towards Retrieval-Augmented Large Language Models.

Yujuan Ding, Wenqi Fan, Liangbo Ning, Shijie Wang, Hengyun Li, Dawei Yin, Tat-Seng Chua, Qing Li

CoRR, 2024

Interpretation-Empowered Neural Cleanse for Backdoor Attacks.

Liang-Bo Ning, Zeyu Dai, Jingran Su, Chao Pan, Luning Wang, Wenqi Fan, Qing Li

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent.

Liang-Bo Ning, Shijie Wang, Wenqi Fan, Qing Li, Xin Xu, Hao Chen, Feiran Huang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models.

Wenqi Fan, Yujuan Ding, Liangbo Ning, Shijie Wang, Hengyun Li, Dawei Yin, Tat-Seng Chua, Qing Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Imprecise Deep Networks for Uncertain Image Classification.

Chuanqi Liu, Zuowei Zhang, Zechao Liu, Liangbo Ning, Zhunga Liu

Proceedings of the Belief Functions: Theory and Applications, 2024

2023

Mining and reasoning of data uncertainty-induced imprecision in deep image classification.

Zuowei Zhang, Liangbo Ning, Zechao Liu, Qingyu Yang, Weiping Ding

Inf. Fusion, August, 2023

2022

Unsupervised Change Detection From Heterogeneous Data Based on Image Translation.

Zhunga Liu, Zuo-Wei Zhang, Quan Pan, Liang-Bo Ning

IEEE Trans. Geosci. Remote. Sens., 2022