Publications (9)
A Near-Optimal Total Complexity for the Inexact Accelerated Proximal Gradient Method via Quadratic Growth
Hongda Li, Xianfu Wang
We consider the optimization problem , where is an -Lipschitz smooth function, and is a proper, lower semicontinuous, and co…
Safe Bayesian Optimization for the Control of High-Dimensional Embodied Systems
Yunyue Wei, Zeji Yi, Hongda Li +2
Learning to move is a primary goal for animals and robots, where ensuring safety is often important when optimizing control policies on the embodied systems. For complex tasks such…
Phishing Detection in Ethereum via Temporal Graph Contrastive Learning
Cong Wu, Jing Chen, Siqi Lin +2
Blockchain and decentralized finance have revolutionized the financial ecosystem while simultaneously exposing it to cryptocurrency phishing attacks. Existing phishing detection me…
Nuanced Emotion Recognition Based on a Segment-based MLLM Framework Leveraging Qwen3-Omni for AH Detection
Liang Tang, Hongda Li, Jiayu Zhang +5
Emotion recognition in videos is a pivotal task in affective computing, where identifying subtle psychological states such as Ambivalence and Hesitancy holds significant value for…
Vision-based Navigation of Autonomous Vehicle in Roadway Environments with Unexpected Hazards
Mhafuzul Islam, Mahsrur Chowdhury, Hongda Li +1
Vision-based navigation of autonomous vehicles primarily depends on the Deep Neural Network (DNN) based systems in which the controller obtains input from sensors/detectors, such a…
Threatening Patch Attacks on Object Detection in Optical Remote Sensing Images
Xuxiang Sun, Gong Cheng, Lei Pei +2
Advanced Patch Attacks (PAs) on object detection in natural images have pointed out the great safety vulnerability in methods based on deep neural networks. However, little attenti…
Cybersecurity Attacks in Vehicle-to-Infrastructure (V2I) Applications and their Prevention
Mhafuzul Islam, Mashrur Chowdhury, Hongda Li +1
A connected vehicle (CV) environment is composed of a diverse data collection, data communication and dissemination, and computing infrastructure systems that are vulnerable to the…
Relaxed Weak Accelerated Proximal Gradient Method: a Unified Framework for Nesterov's Accelerations
Hongda Li, Xianfu Wang
This paper is devoted to the study of accelerated proximal gradient methods where the sequence that controls the momentum term doesn't follow Nesterov's rule. We propose a relaxed…
Trio: Learning Time-Series Forecasting with Temporal-Spatial-Sample Attention and Structural Causal Priors
Tao Chen, Yexu Zhou, Zhi Gong +9
Multivariate time-series forecasting requires models to reason over temporal dynamics, cross-variable dependencies, and historical input-output correspondences. Recent Prior-Data F…