activity
20242026
most citedCheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent

19 citations · 28 across the 5 of their papers we have counts for

collaborators

8 papers

cs.CV2026

AI Smart Glasses for Wearable Intelligence: From Egocentric Sensing to Agentic Personalization

Xu Yuan, Yi Wang, Zhuohang Jiang +8

Recent advances in artificial intelligence (AI) are reshaping smart glasses from egocentric capture and display devices into platforms for wearable intelligence. Smart glasses incr…

cs.LG2026

DeMa: Dual-Path Delay-Aware Mamba for Efficient Multivariate Time Series Analysis

Rui An, Haohao Qu, Wenqi Fan +2

Accurate and efficient multivariate time series (MTS) analysis is increasingly critical for a wide range of intelligent applications. Within this realm, Transformers have emerged a…

cs.LG2025

Damba-ST: Domain-Adaptive Mamba for Efficient Urban Spatio-Temporal Prediction

Rui An, Yifeng Zhang, Ziran Liang +4

Training urban spatio-temporal foundation models that generalize well across diverse regions and cities is critical for deploying urban services in unseen or data-scarce regions. R…

cs.CR2025★ 19 cited

CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent

Liang-bo Ning, Shijie Wang, Wenqi Fan +4

Recently, Large Language Model (LLM)-empowered recommender systems (RecSys) have brought significant advances in personalized user experience and have attracted considerable attent…

cs.AI2025

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

Liangbo Ning, Ziran Liang, Zhuohang Jiang +8

With the advancement of web techniques, they have significantly revolutionized various aspects of people's lives. Despite the importance of the web, many tasks performed on it are…

cs.IR2024★ 2 cited

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

Haohao Qu, Yifeng Zhang, Liangbo Ning +2

Sequential recommendation methods are crucial in modern recommender systems for their remarkable capability to understand a user's changing interests based on past interactions. Ho…

cs.CR2024

Joint Universal Adversarial Perturbations with Interpretations

Liang-bo Ning, Zeyu Dai, Wenqi Fan +4

Deep neural networks (DNNs) have significantly boosted the performance of many challenging tasks. Despite the great development, DNNs have also exposed their vulnerability. Recent…

cs.LG2024★ 7 cited

A Survey of Mamba

Haohao Qu, Liangbo Ning, Rui An +5

As one of the most representative DL techniques, Transformer architecture has empowered numerous advanced models, especially the large language models (LLMs) that comprise billions…