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Ting Yu

7 accepted papers

2026

Fedfit: Federated dynamic pruning via Fisher Information scoring

ICML 2026poster

Cross-device Federated Learning (FL) is frequently bottlenecked by the prohibitive computational and communication costs of training deep neural networks on resource-constrained edge hardware. While federated dynamic pruning aims to alleviate these costs by adjusting sparse topologies during trainin…

Cited by 0SourceScholar
2026

Poison with Style: A Practical Poisoning Attack on Code Large Language Models

ICML 2026poster

Code Large Language Models (CLLMs) serve as the core of modern code agents, enabling developers to automate complex software development tasks. In this paper, we present Poison-with-Style (PwS), a practical and stealthy model poisoning attack targeting CLLMs. Unlike prior attacks that assume an acti…

Cited by 0SourceScholar
2025

Fine-grained Adaptive Visual Prompt for Generative Medical Visual Question Answering

AAAI 2025technical

Medical Visual Question Answering (MedVQA) serves as an automated medical assistant, capable of answering patient queries and aiding physician diagnoses based on medical images and questions. Recent advancements have shown that incorporating Large Language Models (LLMs) into MedVQA tasks significant…

2025

Vision-Guided Action: Enhancing 3D Human Motion Prediction with Gaze-informed Affordance in 3D Scenes

CVPR 2025poster

Recent advances in human motion prediction (HMP) have shifted focus from isolated motion data to integrating human-scene correlations. In particular, the latest methods leverage human gaze points, using their spatial coordinates to indicate intent--where a person might move within a 3D environment.…

Cited by 0SourcePDFScholar
2024

Transformer-Inspired Lightweight Model for Efficient Time Series Forecasting

ICASSP 2024accepted

Accuracy and efficiency are pivotal considerations in the field of time series forecasting. Through the integration of meticulously designed temporal components, the Transformer-based models have significantly enhanced the accuracy of time series prediction. However, due to the utilization of attent…

Cited by 0SourceScholar
2020

The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction

CVPR 2020poster

This paper studies the problem of predicting the distribution over multiple possible future paths of people as they move through various visual scenes. We make two main contributions. The first contribution is a new dataset, created in a realistic 3D simulator, which is based on real world trajector…

Cited by 200PDFcodeScholar