Yixiong Chen

Research

I'm interested in exploring the mechanism behind deep learning, designing efficient training algorithms for multi-modal understanding, semi-supervised/active/transfer/self-supervised learning, and generative modeling, as well as the applications for medical image analysis.

Conference Papers:

1. CoCa-CXR: Contrastive Captioners Learn Strong Temporal Structures for Chest X-Ray Vision-Language Understanding
   Yixiong Chen, Shawn Xu, Andrew Sellergren, Yossi Matias, Avinatan Hassidim, Shravya Shetty, Daniel Golden, Alan Yuille, Lin Yang
   MICCAI 2025 | paper

2. MoLE: Human-centric Text-to-image Diffusion via Mixture of Low-rank Experts
   Jie Zhu, Yixiong Chen, Mingyu Ding, Ping Luo, Leye Wang, Jingdong Wang
   NeurIPS 2024 | paper

3. Leveraging Noisy Labels of Nearest Neighbors for Label Correction and Sample Selection
   Hua Jiang, Yixiong Chen, Li Liu, Xiaoguang Han, Xiaoping Zhang
   ICASSP 2024 | paper

4. MetaLR: Layer-wise Learning Rate based on Meta-learning for Adaptively Fine-tuning Medical Pre-trained Models
   Yixiong Chen, Jingxian Li, Hua Jiang, Li Liu, Chris Ding
   MICCAI 2023 | paper

5. Label-Free Liver Tumor Segmentation
   Qixin Hu, Yixiong Chen, Junfei Xiao, Shuwen Sun, Jieneng Chen, Alan Yuille, Zongwei Zhou
   CVPR 2023 | paper

6. Which Layer is Learning Faster? A Systematic Exploration of Layer-wise Convergence Rate for Deep Neural Networks
   Yixiong Chen, Alan Yuille, Zongwei Zhou
   ICLR 2023 | paper

7. HiCo: Hierarchical Contrastive Learning for Ultrasound Video Model Pretraining
   Chunhui Zhang, Yixiong Chen, Li Liu, Qiong Liu, Xi Zhou
   ACCV 2022 | paper

8. USCL: pretraining deep ultrasound image diagnosis model through video contrastive representation learning
   Yixiong Chen, Chunhui Zhang, Li Liu, Cheng Feng, Changfeng Dong, Yongfang Luo, Xiang Wan
   MICCAI 2021 | paper | Oral Presentation | Excellent Paper on Artificial Intelligence of Shenzhen

Journal Papers:

1. AbdomenAtlas: A large-scale, detailed-annotated, & multi-center dataset for efficient transfer learning and open algorithmic benchmarking
   Wenxuan Li, Chongyu Qu, Xiaoxi Chen, Pedro RAS Bassi, Yijia Shi, Yuxiang Lai, Qian Yu, Huimin Xue, Yixiong Chen, Xiaorui Lin, Yutong Tang, Yining Cao, Haoqi Han, Zheyuan Zhang, Jiawei Liu, Tiezheng Zhang, Yujiu Ma, Jincheng Wang, Guang Zhang, Alan Yuille, Zongwei Zhou
   Medical Image Analysis 2024 | paper

2. Generating and weighting semantically consistent sample pairs for ultrasound contrastive learning
   Yixiong Chen, Chunhui Zhang, Chris HQ Ding, Li Liu
   IEEE TMI 2023 | paper | Excellent Paper on Science and Technology of Shenzhen

Workshop Papers:

1. Synthetic Tumors Make AI Segment Tumors Better
   Qixin Hu, Junfei Xiao, Yixiong Chen, Shuwen Sun, Jie-Neng Chen, Alan Yuille, Zongwei Zhou
   NeurIPS Workshop 2022 | paper

2. When person re-identification meets changing clothes
   Fangbin Wan, Yang Wu, Xuelin Qian, Yixiong Chen, Yanwei Fu
   CVPR Workshop 2020 | paper | Highest Impact Award of IEEE Computer Society Biometrics Workshop

Preprint Papers:

1. Are Vision Language Models Ready for Clinical Diagnosis? A 3D Medical Benchmark for Tumor-centric Visual Question Answering
   Yixiong Chen, Wenjie Xiao, Pedro RAS Bassi, Xinze Zhou, Sezgin Er, Ibrahim Ethem Hamamci, Zongwei Zhou, Alan Yuille
   Arxiv 2025 | paper

2. Quality Sentinel: Estimating Label Quality and Errors in Medical Segmentation Datasets
   Yixiong Chen, Zongwei Zhou, Alan Yuille
   Arxiv 2024 | paper

3. Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis
   Xiaoshi Wu, Yiming Hao, Keqiang Sun, Yixiong Chen, Feng Zhu, Rui Zhao, Hongsheng Li
   Arxiv 2023 | paper

4. X-IQE: eXplainable Image Quality Evaluation for Text-to-Image Generation with Visual Large Language Models
   Yixiong Chen, Li Liu, Chris Ding
   Arxiv 2023 | paper

5. Rethinking Two Consensuses of the Transferability in Deep Learning
   Yixiong Chen, Jingxian Li, Chris Ding, Li Liu
   Arxiv 2022 | paper

Services