Search Results for author: Xingyu Zhang

Found 11 papers, 3 papers with code

EchoMimicV2: Towards Striking, Simplified, and Semi-Body Human Animation

1 code implementation15 Nov 2024 Rang Meng, Xingyu Zhang, Yuming Li, Chenguang Ma

Recent work on human animation usually involves audio, pose, or movement maps conditions, thereby achieves vivid animation quality.

Audio-Driven Body Animation Human Animation +1

HE-Drive: Human-Like End-to-End Driving with Vision Language Models

no code implementations7 Oct 2024 Junming Wang, Xingyu Zhang, Zebin Xing, Songen Gu, Xiaoyang Guo, Yang Hu, Ziying Song, Qian Zhang, Xiaoxiao Long, Wei Yin

In this paper, we propose HE-Drive: the first human-like-centric end-to-end autonomous driving system to generate trajectories that are both temporally consistent and comfortable.

Autonomous Driving Denoising +1

AI-Driven Healthcare: A Survey on Ensuring Fairness and Mitigating Bias

no code implementations29 Jul 2024 Sribala Vidyadhari Chinta, Zichong Wang, Xingyu Zhang, Thang Doan Viet, Ayesha Kashif, Monique Antoinette Smith, Wenbin Zhang

Artificial intelligence (AI) is rapidly advancing in healthcare, enhancing the efficiency and effectiveness of services across various specialties, including cardiology, ophthalmology, dermatology, emergency medicine, etc.

Decision Making Fairness

Not All Frequencies Are Created Equal:Towards a Dynamic Fusion of Frequencies in Time-Series Forecasting

1 code implementation17 Jul 2024 Xingyu Zhang, Siyu Zhao, Zeen Song, Huijie Guo, Jianqi Zhang, Changwen Zheng, Wenwen Qiang

Although Fourier analysis offers an alternative to effectively capture reusable and periodic patterns to achieve long-term forecasting in different scenarios, existing methods often assume high-frequency components represent noise and should be discarded in time series forecasting.

Time Series Time Series Forecasting

Learning Invariant Causal Mechanism from Vision-Language Models

no code implementations24 May 2024 Zeen Song, Siyu Zhao, Xingyu Zhang, Jiangmeng Li, Changwen Zheng, Wenwen Qiang

Large-scale pre-trained vision-language models such as CLIP have been widely applied to a variety of downstream scenarios.

Causal Inference Decision Making

Precision Rehabilitation for Patients Post-Stroke based on Electronic Health Records and Machine Learning

no code implementations9 May 2024 Fengyi Gao, Xingyu Zhang, Sonish Sivarajkumar, Parker Denny, Bayan Aldhahwani, Shyam Visweswaran, Ryan Shi, William Hogan, Allyn Bove, Yanshan Wang

In this study, we utilized statistical analysis and machine learning methods to examine whether rehabilitation exercises can improve patients post-stroke functional abilities, as well as forecast the improvement in functional abilities.

Landmark-Guided Cross-Speaker Lip Reading with Mutual Information Regularization

no code implementations24 Mar 2024 Linzhi Wu, Xingyu Zhang, Yakun Zhang, Changyan Zheng, Tiejun Liu, Liang Xie, Ye Yan, Erwei Yin

Lip reading, the process of interpreting silent speech from visual lip movements, has gained rising attention for its wide range of realistic applications.

Lip Reading

Probing Script Knowledge from Pre-Trained Models

no code implementations16 Apr 2022 Zijian Jin, Xingyu Zhang, Mo Yu, Lifu Huang

Script knowledge is critical for humans to understand the broad daily tasks and routine activities in the world.

Story Generation

Finite response time in stripe formation by bacteria with density-suppressed motility

no code implementations8 May 2019 Xingyu Zhang, Namiko Mitarai

We propose a model that includes a simplified regulatory dynamics of the tumbling frequency in individual cells to clarify the role of finite response time.

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