Unsupervised Change Detection From Heterogeneous Data Based on Image Translation. - Zhunga Liu; Zuo-Wei Zhang 001; Quan Pan 001; Liang-Bo Ning 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Mining and reasoning of data uncertainty-induced imprecision in deep image classification. - Zuowei Zhang 001; Liangbo Ning 001; Zechao Liu; Qingyu Yang; Weiping Ding 001 (Inf. Fusion, 2023)

Imprecise Deep Networks for Uncertain Image Classification. - Chuanqi Liu; Zuowei Zhang 001; Zechao Liu; Liangbo Ning 001; Zhunga Liu (BELIEF, 2024)

A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models. - Wenqi Fan; Yujuan Ding; Liangbo Ning 001; Shijie Wang 002; Hengyun Li; Dawei Yin; Tat-Seng Chua; Qing Li 001 (KDD, 2024)

CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent. - Liang-Bo Ning 001; Shijie Wang 002; Wenqi Fan; Qing Li 001; Xin Xu 002; Hao Chen 062; Feiran Huang (KDD, 2024)

Interpretation-Empowered Neural Cleanse for Backdoor Attacks. - Liang-Bo Ning 001; Zeyu Dai 001; Jingran Su; Chao Pan; Luning Wang; Wenqi Fan; Qing Li 001 (WWW (Companion Volume), 2024)

A Survey on RAG Meets LLMs: Towards Retrieval-Augmented Large Language Models. - Yujuan Ding; Wenqi Fan; Liangbo Ning 001; Shijie Wang 002; Hengyun Li; Dawei Yin; Tat-Seng Chua; Qing Li 001 (CoRR, 2024)

A Survey of Mamba. - Haohao Qu; Liangbo Ning 001; Rui An; Wenqi Fan; Tyler Derr; Hui Liu 031; Xin Xu 002; Qing Li 001 (CoRR, 2024)

Joint Universal Adversarial Perturbations with Interpretations. - Liang-Bo Ning 001; Zeyu Dai 001; Wenqi Fan; Jingran Su; Chao Pan; Luning Wang; Qing Li 001 (CoRR, 2024)

SSD4Rec: A Structured State Space Duality Model for Efficient Sequential Recommendation. - Haohao Qu; Yifeng Zhang 007; Liangbo Ning 001; Wenqi Fan; Qing Li 001 (CoRR, 2024)

A New Progressive Multisource Domain Adaptation Network With Weighted Decision Fusion. - Zhun-ga Liu; Liang-Bo Ning 001; Zuo-Wei Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Towards Retrieval-Augmented Large Language Models: Data Management and System Design. - Wenqi Fan; Pangjing Wu; Yujuan Ding; Liang-Bo Ning 001; Shijie Wang 002; Qing Li 001 (ICDE, 2025)

Representation of Imprecision in Deep Neural Networks for Image Classification. - Zuowei Zhang 001; Zhunga Liu; Liangbo Ning 001; Arnaud Martin 001; Jiexuan Xiong (IEEE Trans. Neural Networks Learn. Syst., 2025)

Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs. - Jiani Huang 001; Shijie Wang 002; Liang-Bo Ning 001; Wenqi Fan; Shuaiqiang Wang; Dawei Yin; Qing Li 001 (CoRR, 2025)

A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models. - Liangbo Ning 001; Ziran Liang; Zhuohang Jiang; Haohao Qu; Yujuan Ding; Wenqi Fan; Xiaoyong Wei; Shanru Lin; Hui Liu 031; Philip S. Yu; Qing Li 001 (CoRR, 2025)

Retrieval-Augmented Purifier for Robust LLM-Empowered Recommendation. - Liangbo Ning 001; Wenqi Fan; Qing Li 001 (CoRR, 2025)

Exploring Backdoor Attack and Defense for LLM-empowered Recommendations. - Liangbo Ning 001; Wenqi Fan; Qing Li 001 (CoRR, 2025)

mKG-RAG: Multimodal Knowledge Graph-Enhanced RAG for Visual Question Answering. - Xu Yuan; Liang-Bo Ning 001; Wenqi Fan; Qing Li 001 (CoRR, 2025)

Belief-Based Fuzzy and Imprecise Clustering for Arbitrary Data Distributions. - Zuo-wei Zhang 001; Zhun-ga Liu; Liang-Bo Ning 001; Hongpeng Tian; Binglu Wang (IEEE Trans. Fuzzy Syst., 2025)