Yinda Chen

According to our database, Yinda Chen authored at least 34 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

DVP-MVS++: Synergize Depth-Normal-Edge and Harmonized Visibility Prior for Multi-View Stereo.

Zhenlong Yuan, Dapeng Zhang, Zehao Li, Chengxuan Qian, Jianing Chen, Yinda Chen, Kehua Chen, Tianlu Mao, Zhaoxin Li, Hao Jiang, Zhaoqi Wang

IEEE Trans. Circuits Syst. Video Technol., April, 2026

Reasoning on the Manifold: Bidirectional Consistency for Self-Verification in Diffusion Language Models.

Jiaoyang Ruan, Xin Gao, Yinda Chen, Hengyu Zeng, Liang Du, Guanghao Li, Jie Fu, Jian Pu

CoRR, April, 2026

MAIN-VLA: Modeling Abstraction of Intention and eNvironment for Vision-Language-Action Models.

Zheyuan Zhou, Liang Du, Zixun Sun, Xiaoyu Zhou, Ruimin Ye, Qihao Chen, Yinda Chen, Lemiao Qiu

CoRR, February, 2026

Efficient Plug-and-Play Weight Refinement for Sparse Large Models.

Jingcheng Xie, Yinda Chen, Xiaoyu Liu, Yinglong Li, Haoyuan Shi, Zhiwei Xiong

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

CoC-VLA: Delving into Adversarial Domain Transfer for Explainable Autonomous Driving via Chain-of-Causality Visual-Language-Action Model.

Dapeng Zhang, Fei Shen, Rui Zhao, Yinda Chen, Peng Zhi, Chenyang Li, Rui Zhou, Qingguo Zhou

CoRR, November, 2025

Reasoning-VLA: A Fast and General Vision-Language-Action Reasoning Model for Autonomous Driving.

Dapeng Zhang, Zhenlong Yuan, Zhangquan Chen, Chih-Ting Liao, Yinda Chen, Fei Shen, Qingguo Zhou, Tat-Seng Chua

CoRR, November, 2025

Johnson-Lindenstrauss Lemma Guided Network for Efficient 3D Medical Segmentation.

Jinpeng Lu, Linghan Cai, Yinda Chen, Guo Tang, Songhan Jiang, Haoyuan Shi, Zhiwei Xiong

CoRR, September, 2025

FURINA: Free from Unmergeable Router via LINear Aggregation of mixed experts.

Jiayi Han, Liang Du, Yinda Chen, Xiao Kang, Weiping Ding, Donghong Han

CoRR, September, 2025

Does DINOv3 Set a New Medical Vision Standard?

Che Liu, Yinda Chen, Haoyuan Shi, Jinpeng Lu, Bailiang Jian, Jiazhen Pan, Linghan Cai, Jiayi Wang, Yundi Zhang, Jun Li, Cosmin I. Bercea, Cheng Ouyang, Chen Chen, Zhiwei Xiong, Benedikt Wiestler, Christian Wachinger, Daniel Rueckert, Wenjia Bai, Rossella Arcucci

CoRR, September, 2025

EMPOWER: Evolutionary Medical Prompt Optimization With Reinforcement Learning.

Yinda Chen, Yangfan He, Jing Yang, Dapeng Zhang, Zhenlong Yuan, Muhammad Attique Khan, Jamel Baili, Lip Yee Por

CoRR, August, 2025

AttriCtrl: Fine-Grained Control of Aesthetic Attribute Intensity in Diffusion Models.

Die Chen, Zhongjie Duan, Zhiwen Li, Cen Chen, Daoyuan Chen, Yaliang Li, Yinda Chen

CoRR, August, 2025

Low-Cost Test-Time Adaptation for Robust Video Editing.

Jianhui Wang, Yinda Chen, Yangfan He, Xinyuan Song, Yi Xin, Dapeng Zhang, Zhongwei Wan, Bin Li, Rongchao Zhang

CoRR, July, 2025

Dual form Complementary Masking for Domain-Adaptive Image Segmentation.

Jiawen Wang, Yinda Chen, Xiaoyu Liu, Che Liu, Dong Liu, Jianqing Gao, Zhiwei Xiong

CoRR, July, 2025

Unsupervised Domain Adaptation for EM Image Denoising With Invertible Networks.

Shiyu Deng, Yinda Chen, Wei Huang, Ruobing Zhang, Zhiwei Xiong

IEEE Trans. Medical Imaging, January, 2025

QMamba: Post-Training Quantization for Vision State Space Models.

Yinglong Li, Xiaoyu Liu, Jiacheng Li, Ruikang Xu, Yinda Chen, Zhiwei Xiong

CoRR, January, 2025

MaskTwins: Dual-form Complementary Masking for Domain-Adaptive Image Segmentation.

Jiawen Wang, Yinda Chen, Xiaoyu Liu, Che Liu, Dong Liu, Jianqing Gao, Zhiwei Xiong

Proceedings of the Forty-second International Conference on Machine Learning, 2025

T3D: Advancing 3D Medical Vision-Language Pre-Training by Learning Multi-View Visual Consistency.

Che Liu, Cheng Ouyang, Yinda Chen, César Quilodrán Casas, Lei Ma, Jie Fu, Yike Guo, Anand Shah, Wenjia Bai, Rossella Arcucci

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

TokenUnify: Scaling Up Autoregressive Pretraining for Neuron Segmentation.

Yinda Chen, Haoyuan Shi, Xiaoyu Liu, Te Shi, Ruobing Zhang, Dong Liu, Zhiwei Xiong, Feng Wu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

GTGM: Generative Text-Guided 3D Vision-Language Pretraining for Medical Image Segmentation.

Yinda Chen, Che Liu, Wei Huang, Xiaoyu Liu, Haoyuan Shi, Sibo Cheng, Rossella Arcucci, Zhiwei Xiong

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data?

Che Liu, Zhongwei Wan, Haozhe Wang, Yinda Chen, Talha Qaiser, Chen Jin, Nikolay Burlutskiy, Fariba Yousefi, Rossella Arcucci

Proceedings of the Findings of the Association for Computational Linguistics, 2025

MapExpert: Online HD Map Construction with Simple and Efficient Sparse Map Element Expert.

Dapeng Zhang, Dayu Chen, Peng Zhi, Yinda Chen, Zhenlong Yuan, Chenyang Li, Sunjing, Rui Zhou, Qingguo Zhou

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Conditional Latent Coding with Learnable Synthesized Reference for Deep Image Compression.

Siqi Wu, Yinda Chen, Dong Liu, Zhihai He

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

UniCompress: Enhancing Multi-Data Medical Image Compression with Knowledge Distillation.

Runzhao Yang, Yinda Chen, Zhihong Zhang, Xiaoyu Liu, Zongren Li, Kunlun He, Zhiwei Xiong, Jinli Suo, Qionghai Dai

CoRR, 2024

TokenUnify: Scalable Autoregressive Visual Pre-training with Mixture Token Prediction.

Yinda Chen, Haoyuan Shi, Xiaoyu Liu, Te Shi, Ruobing Zhang, Dong Liu, Zhiwei Xiong, Feng Wu

CoRR, 2024

A Conversational Application for Insomnia Treatment: Leveraging the ChatGLM-LoRA Model for Cognitive Behavioral Therapy.

Yinda Chen, Shuo Pan, Yu Xia, Keqi Ren, Luying Zhang, Zefei Mo, Jiahe Chen, Meijia Zhang, Huanhuan Li, Jianwei Shuai, Qinghua Xia, Rongwen Yu

Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2024

MaskFactory: Towards High-quality Synthetic Data Generation for Dichotomous Image Segmentation.

Haotian Qian, Yinda Chen, Shengtao Lou, Fahad Shahbaz Khan, Xiaogang Jin, Deng-Ping Fan

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Joint EM Image Denoising and Segmentation with Instance-Aware Interaction.

Zhicheng Wang, Jiacheng Li, Yinda Chen, Jiateng Shou, Shiyu Deng, Wei Huang, Zhiwei Xiong

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

BIMCV-R: A Landmark Dataset for 3D CT Text-Image Retrieval.

Yinda Chen, Che Liu, Xiaoyu Liu, Rossella Arcucci, Zhiwei Xiong

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Learning Multiscale Consistency for Self-Supervised Electron Microscopy Instance Segmentation.

Yinda Chen, Wei Huang, Xiaoyu Liu, Shiyu Deng, Qi Chen, Zhiwei Xiong

Proceedings of the IEEE International Conference on Acoustics, 2024

Cross-dimension Affinity Distillation for 3D EM Neuron Segmentation.

Xiaoyu Liu, Miaomiao Cai, Yinda Chen, Yueyi Zhang, Te Shi, Ruobing Zhang, Xuejin Chen, Zhiwei Xiong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

T3D: Towards 3D Medical Image Understanding through Vision-Language Pre-training.

Che Liu, Cheng Ouyang, Yinda Chen, César Quilodrán Casas, Lei Ma, Jie Fu, Yike Guo, Anand Shah, Wenjia Bai, Rossella Arcucci

CoRR, 2023

Learning Multiscale Consistency for Self-supervised Electron Microscopy Instance Segmentation.

Yinda Chen, Wei Huang, Xiaoyu Liu, Qi Chen, Zhiwei Xiong

CoRR, 2023

Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation.

Yinda Chen, Che Liu, Wei Huang, Sibo Cheng, Rossella Arcucci, Zhiwei Xiong

CoRR, 2023

Self-Supervised Neuron Segmentation with Multi-Agent Reinforcement Learning.

Yinda Chen, Wei Huang, Shenglong Zhou, Qi Chen, Zhiwei Xiong

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023