Xiaolu Hou

MS student, Fudan University

Joined

April 2024

Names

Xiaolu Hou (Preferred)

Emails

****@m.fudan.edu.cn (Confirmed)

,

****@m.fudan.edu.cn (Confirmed)

Personal Links

Career & Education History

MS student

Fudan University (fudan.edu.cn)

2023 – 2026

Advisors, Relations & Conflicts

PhD Advisor

2023 – 2026

Expertise

3D Scene Generation

2023 – 2026

Text-to-Image Generation

2023 – 2026

Publications

Detecting and Evaluating Medical Hallucinations in Large Vision Language Models
Jiawei Chen, Dingkang Yang, Tong Wu, Yue Jiang, Xiaolu Hou, Mingcheng Li, Shunli Wang, Dongling Xiao, Ke Li, Lihua Zhang
- Submitted to ICLR 2025
- Readers: Everyone
SceneWeaver: Text-Driven Scene Generation with Geometry-aware Gaussian Splatting
Xiaolu Hou, Mingcheng Li, Jiawei Chen, Dingkang Yang, Ziyun Qian, Lihua Zhang
- ACML 2024 Conference Track
- Readers: Everyone
Toward Robust Incomplete Multimodal Sentiment Analysis via Hierarchical Representation Learning
Mingcheng Li, Dingkang Yang, Yang Liu, Shunli Wang, Jiawei Chen, Shuaibing Wang, Jinjie Wei, Yue Jiang, Qingyao Xu, Xiaolu Hou, Mingyang Sun, Ziyun Qian, Dongliang Kou, Lihua Zhang
- NeurIPS 2024 poster
- Readers: Everyone
Efficiency in Focus: LayerNorm as a Catalyst for Fine-tuning Medical Visual Language Models
Jiawei Chen, Dingkang Yang, Yue Jiang, Mingcheng Li, Jinjie Wei, Xiaolu Hou, Lihua Zhang
- MM2024 Poster
- Readers: Everyone
Detecting and Evaluating Medical Hallucinations in Large Vision Language Models
Jiawei Chen, Dingkang Yang, Tong Wu, Yue Jiang, Xiaolu Hou, Mingcheng Li, Shunli Wang, Dongling Xiao, Ke Li, Lihua Zhang
- CoRR 2024
- Readers: Everyone
Efficiency in Focus: LayerNorm as a Catalyst for Fine-tuning Medical Visual Language Pre-trained Models
Jiawei Chen, Dingkang Yang, Yue Jiang, Mingcheng Li, Jinjie Wei, Xiaolu Hou, Lihua Zhang
- CoRR 2024
- Readers: Everyone
Efficiency in Focus: LayerNorm as a Catalyst for Fine-tuning Medical Visual Language Models
Jiawei Chen, Dingkang Yang, Yue Jiang, Mingcheng Li, Jinjie Wei, Xiaolu Hou, Lihua Zhang
- ACM Multimedia 2024
- Readers: Everyone

Co-Authors