activity
20192025
most citedEfficient Project Gradient Descent for Ensemble Adversarial Attack

4 citations · 9 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL2025

FalseReject: A Resource for Improving Contextual Safety and Mitigating Over-Refusals in LLMs via Structured Reasoning

Zhehao Zhang, Weijie Xu, Fanyou Wu +1

Safety alignment approaches in large language models (LLMs) often lead to the over-refusal of benign queries, significantly diminishing their utility in sensitive scenarios. To add…

cs.CL2024

HR-Agent: A Task-Oriented Dialogue (TOD) LLM Agent Tailored for HR Applications

Weijie Xu, Jay Desai, Fanyou Wu +2

Recent LLM (Large Language Models) advancements benefit many fields such as education and finance, but HR has hundreds of repetitive processes, such as access requests, medical cla…

cs.LG20201 cited

TLab: Traffic Map Movie Forecasting Based on HR-NET

Fanyou Wu, Yang Liu, Zhiyuan Liu +3

The problem of the effective prediction for large-scale spatio-temporal traffic data has long haunted researchers in the field of intelligent transportation. Limited by the quantit…

cs.LG20194 cited

Building Effective Large-Scale Traffic State Prediction System: Traffic4cast Challenge Solution

Yang Liu, Fanyou Wu, Baosheng Yu +2

How to build an effective large-scale traffic state prediction system is a challenging but highly valuable problem. This study focuses on the construction of an effective solution…

cs.LG20194 cited

Efficient Project Gradient Descent for Ensemble Adversarial Attack

Fanyou Wu, Rado Gazo, Eva Haviarova +1

Recent advances show that deep neural networks are not robust to deliberately crafted adversarial examples which many are generated by adding human imperceptible perturbation to cl…