Deep learning-based subdivision approach for large scale macromolecules structure recovery from electron cryo tomograms. - Min Xu 009; Xiaoqi Chai; Hariank Muthakana; Xiaodan Liang; Ge Yang 002; Tzviya Zeev-Ben-Mordehai; Eric P. Xing (Bioinform., 2017)

A convolutional autoencoder approach for mining features in cellular electron cryo-tomograms and weakly supervised coarse segmentation. - Xiangrui Zeng; Miguel Ricardo Leung; Tzviya Zeev-Ben-Mordehai; Min Xu 009 (CoRR, 2017)

Feature Decomposition Based Saliency Detection in Electron Cryo-Tomograms. - Bo Zhou 009; Qiang Guo; Kaiwen Wang; Xiangrui Zeng; Xin Gao 001; Min Xu 009 (BIBM, 2018)

Multi-task Learning for Macromolecule Classification, Segmentation and Coarse Structural Recovery in Cryo-Tomography. - Chang Liu 031; Xiangrui Zeng; Kaiwen Wang; Qiang Guo; Min Xu 009 (BMVC, 2018)

Image-derived generative modeling of pseudo-macromolecular structures - towards the statistical assessment of Electron CryoTomography template matching. - Kaiwen Wang; Xiangrui Zeng; Xiaodan Liang; Zhiguang Huo; Eric P. Xing; Min Xu 009 (BMVC, 2018)

Model Compression for Faster Structural Separation of Macromolecules Captured by Cellular Electron Cryo-Tomography. - JiaLiang Guo; Bo Zhou 009; Xiangrui Zeng; Zachary Freyberg; Min Xu 009 (ICIAR, 2018)

Deep Learning Based Supervised Semantic Segmentation of Electron Cryo-Subtomograms. - Chang Liu 031; Xiangrui Zeng; Ruogu Lin; Xiaodan Liang; Zachary Freyberg; Eric P. Xing; Min Xu 009 (ICIP, 2018)

Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations. - Guannan Zhao; Bo Zhou 009; Kaiwen Wang; Rui Jiang 001; Min Xu 009 (MICCAI (1), 2018)

An integration of fast alignment and maximum-likelihood methods for electron subtomogram averaging and classification. - Yixiu Zhao; Xiangrui Zeng; Qiang Guo; Min Xu 009 (Bioinform., 2018)

Feature Decomposition Based Saliency Detection in Electron Cryo-Tomograms. - Bo Zhou 009; Qiang Guo; Xiangrui Zeng; Min Xu 009 (CoRR, 2018)

Improved deep learning-based macromolecules structure classification from electron cryo-tomograms. - Chengqian Che; Ruogu Lin; Xiangrui Zeng; Karim Elmaaroufi; John M. Galeotti; Min Xu 009 (Mach. Vis. Appl., 2018)

Classification in Cryo-Electron Tomograms. - Ilja Gubins; Gijs van der Schot; Remco C. Veltkamp; Friedrich Förster; Xuefeng Du; Xiangrui Zeng; Zhenxi Zhu; Lufan Chang; Min Xu 009; Emmanuel Moebel; Antonio Martínez-Sánchez; Charles Kervrann; et al. (3DOR@Eurographics, 2019)

Domain Randomization for Macromolecule Structure Classification and Segmentation in Electron Cyro-tomograms. - Chengqian Che; Zhou Xian; Xiangrui Zeng; Xin Gao 001; Min Xu 009 (BIBM, 2019)

Regularized Adversarial Training (RAT) for Robust Cellular Electron Cryo Tomograms Classification. - Xindi Wu; Yijun Mao; Haohan Wang; Xiangrui Zeng; Xin Gao 001; Eric P. Xing; Min Xu 009 (BIBM, 2019)

Open-set Recognition of Unseen Macromolecules in Cellular Electron Cryo-Tomograms by Soft Large Margin Centralized Cosine Loss. - Xuefeng Du; Xiangrui Zeng; Bo Zhou 009; Alex Singh; Min Xu 009 (BMVC, 2019)

Semi-supervised Macromolecule Structural Classification in Cellular Electron Cryo-Tomograms using 3D Autoencoding Classifier. - Siyuan Liu; Xuefeng Du; Rong Xi; Fuya Xu; Xiangrui Zeng; Bo Zhou 009; Min Xu 009 (BMVC, 2019)

Improving Lesion Segmentation for Diabetic Retinopathy Using Adversarial Learning. - Qiqi Xiao; Jiaxu Zou; Muqiao Yang; Alex Gaudio; Kris Kitani; Asim Smailagic; Pedro Costa 005; Min Xu 009 (ICIAR (2), 2019)

Deep Learning-Based Strategy For Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography. - Ziqian Luo; Xiangrui Zeng; Zhipeng Bao; Min Xu 009 (IJCNN, 2019)

Ellipse Detection of Optic Disc-and-Cup Boundary in Fundus Images. - Zeya Wang; Nanqing Dong; Sean D. Rosario; Min Xu 009; Pengtao Xie; Eric P. Xing (ISBI, 2019)

Neural Architecture Search for Adversarial Medical Image Segmentation. - Nanqing Dong; Min Xu 009; Xiaodan Liang; Yiliang Jiang; Wei Dai 003; Eric P. Xing (MICCAI (6), 2019)

A joint method for marker-free alignment of tilt series in electron tomography. - Renmin Han; Zhipeng Bao; Xiangrui Zeng; Tongxin Niu; Fa Zhang 001; Min Xu 009; Xin Gao 001 (Bioinform., 2019)

Adversarial domain adaptation for cross data source macromolecule in situ structural classification in cellular electron cryo-tomograms. - Ruogu Lin; Xiangrui Zeng; Kris Kitani; Min Xu 009 (Bioinform., 2019)

Automatic localization and identification of mitochondria in cellular electron cryo-tomography using faster-RCNN. - Ran Li; Xiangrui Zeng; Stephanie E. Sigmund; Ruogu Lin; Bo Zhou 009; Chang Liu 031; Kaiwen Wang; Rui Jiang 001; Zachary Freyberg; Hairong Lv; Min Xu 009 (BMC Bioinform., 2019)

Fine-grained alignment of cryo-electron subtomograms based on MPI parallel optimization. - Yongchun Lü; Xiangrui Zeng; Xiaofang Zhao; Shirui Li; Hua Li 009; Xin Gao 001; Min Xu 009 (BMC Bioinform., 2019)

AITom: Open-source AI platform for cryo-electron Tomography data analysis. - Xiangrui Zeng; Min Xu 009 (CoRR, 2019)

Efficient Cryo-Electron Tomogram Simulation of Macromolecular Crowding with Application to SARS-CoV-2. - Sinuo Liu; Yan Ma; Xiaojuan Ban; Xiangrui Zeng; Mohan Vamsi Nallapareddy; Ajinkya Chaudhari; Min Xu 009 (BIBM, 2020)

Gum-Net: Unsupervised Geometric Matching for Fast and Accurate 3D Subtomogram Image Alignment and Averaging. - Xiangrui Zeng; Min Xu 009 (CVPR, 2020)

Dilated-DenseNet for Macromolecule Classification in Cryo-electron Tomography. - Shan Gao; Renmin Han; Xiangrui Zeng; Xuefeng Cui; Zhiyong Liu 002; Min Xu 009; Fa Zhang 001 (ISBRA, 2020)

PUB-SalNet: A Pre-Trained Unsupervised Self-Aware Backpropagation Network for Biomedical Salient Segmentation. - Feiyang Chen; Ying Jiang; Xiangrui Zeng; Jing Zhang 062; Xin Gao 001; Min Xu 009 (Algorithms, 2020)

A unified framework for packing deformable and non-deformable subcellular structures in crowded cryo-electron tomogram simulation. - Sinuo Liu; Xiaojuan Ban; Xiangrui Zeng; Fengnian Zhao; Yuan Gao; Wenjie Wu; Hongpan Zhang; Feiyang Chen; Thomas Hall; Xin Gao 001; Min Xu 009 (BMC Bioinform., 2020)

Spark-based parallel calculation of 3D fourier shell correlation for macromolecule structure local resolution estimation. - Yongchun Lü; Xiangrui Zeng; Xinhui Tian; Xiao Shi 003; Hui Wang; Xiaohui Zheng; Xiaodong Liu; Xiaofang Zhao; Xin Gao 001; Min Xu 009 (BMC Bioinform., 2020)

SHREC 2020: Classification in cryo-electron tomograms. - Ilja Gubins; Marten L. Chaillet; Gijs van der Schot; Remco C. Veltkamp; Friedrich Förster; Yu Hao; Xiaohua Wan 001; Xuefeng Cui; Fa Zhang 001; Emmanuel Moebel; Xiao Wang 004; Daisuke Kihara; et al. (Comput. Graph., 2020)

Few shot domain adaptation for in situ macromolecule structural classification in cryo-electron tomograms. - Liangyong Yu; Ran Li; Xiangrui Zeng; Hongyi Wang; Jie Jin; Ge Yang 002; Rui Jiang 001; Min Xu 009 (CoRR, 2020)

Towards Robust Medical Image Segmentation on Small-Scale Data with Incomplete Labels. - Nanqing Dong; Michael Kampffmeyer; Xiaodan Liang; Min Xu 009; Irina Voiculescu; Eric P. Xing (CoRR, 2020)

Few-shot learning for classification of novel macromolecular structures in cryo-electron tomograms. - Ran Li; Liangyong Yu; Bo Zhou 009; Xiangrui Zeng; Zhenyu Wang; Xiaoyan Yang; Jing Zhang 062; Xin Gao 001; Rui Jiang 001; Min Xu 009 (PLoS Comput. Biol., 2020)

A simulated annealing approach for resolution guided homogeneous cryo-electron microscopy image selection. - Jie Shi; Xiangrui Zeng; Rui Jiang 001; Tao Jiang 001; Min Xu 009 (Quant. Biol., 2020)

AttPNet: Attention-Based Deep Neural Network for 3D Point Set Analysis. - Yufeng Yang; Yixiao Ma; Jing Zhang 062; Xin Gao 001; Min Xu 009 (Sensors, 2020)

Poly(A)-DG: A deep-learning-based domain generalization method to identify cross-species Poly(A) signal without prior knowledge from target species. - Yumin Zheng; Haohan Wang; Yang Zhang 042; Xin Gao 001; Eric P. Xing; Min Xu 009 (PLoS Comput. Biol., 2020)

SHREC 2021: Classification in Cryo-electron Tomograms. - Ilja Gubins; Marten L. Chaillet; Gijs van der Schot; M. Cristina Trueba; Remco C. Veltkamp; Friedrich Förster; Xiao Wang 004; Daisuke Kihara; Emmanuel Moebel; Nguyen P. Nguyen; Tommi A. White; Filiz Bunyak; et al. (3DOR, 2021)

Practical Analysis of Macromolecule Identity from Cryo-electron Tomography Images using Deep Learning. - Mostofa Rafid Uddin; Ajmain Yasar Ahmed; Kafi Khan; Md Shahrar Fatemi; Xiangrui Zeng; Min Xu 009 (AIPR, 2021)

End-to-end robust joint unsupervised image alignment and clustering. - Xiangrui Zeng; Gregory Howe; Min Xu 009 (ICCV, 2021)

Weakly Supervised 3D Semantic Segmentation Using Cross-Image Consensus and Inter-Voxel Affinity Relations. - Xiaoyu Zhu; Jeffrey Chen; Xiangrui Zeng; Junwei Liang 001; Chengqi Li; Sinuo Liu; Sima Behpour; Min Xu 009 (ICCV, 2021)

Unsupervised Domain Alignment Based Open Set Structural Recognition of Macromolecules Captured By Cryo-Electron Tomography. - Yuchen Zeng; Gregory Howe; Kai Yi; Xiangrui Zeng; Jing Zhang 062; Yi-Wei Chang; Min Xu 009 (ICIP, 2021)

DECODE: a Deep-learning framework for Condensing enhancers and refining boundaries with large-scale functional assays. - Zhanlin Chen; Jing Zhang 062; Jason Liu 003; Yi Dai; Donghoon Lee 006; Martin Renqiang Min; Min Xu 009; Mark Gerstein (Bioinform., 2021)

Active learning to classify macromolecular structures in situ for less supervision in cryo-electron tomography. - Xuefeng Du; Haohan Wang; Zhenxi Zhu; Xiangrui Zeng; Yi-Wei Chang; Jing Zhang 062; Eric P. Xing; Min Xu 009 (Bioinform., 2021)

Few shot domain adaptation for in situ macromolecule structural classification in cryoelectron tomograms. - Liangyong Yu; Ran Li; Xiangrui Zeng; Hongyi Wang; Jie Jin; Ge Yang 002; Rui Jiang 001; Min Xu 009 (Bioinform., 2021)

Disentangling semantic features of macromolecules in Cryo-Electron Tomography. - Kai Yi; Jianye Pang; Yungeng Zhang; Xiangrui Zeng; Min Xu 009 (CoRR, 2021)

Boosting Active Learning via Improving Test Performance. - Tianyang Wang; Xingjian Li 002; Pengkun Yang; Guosheng Hu; Xiangrui Zeng; Siyu Huang; Cheng-Zhong Xu 001; Min Xu 009 (AAAI, 2022)

TransResNet: Integrating the Strengths of ViTs and CNNs for High Resolution Medical Image Segmentation via Feature Grafting. - Muhammad Hamza Sharif; Dmitry Demidov; Asif Hanif; Mohammad Yaqub; Min Xu 009 (BMVC, 2022)

Harmony: A Generic Unsupervised Approach for Disentangling Semantic Content from Parameterized Transformations. - Mostofa Rafid Uddin; Gregory Howe; Xiangrui Zeng; Min Xu 009 (CVPR, 2022)

Deep Active Learning for Cryo-Electron Tomography Classification. - Tianyang Wang; Bo Li; Jing Zhang 062; Xiangrui Zeng; Mostofa Rafid Uddin; Wei Wu; Min Xu 009 (ICIP, 2022)

Unsupervised Multi-Task Learning for 3D Subtomogram Image Alignment, Clustering and Segmentation. - Haoyi Zhu; Chuting Wang; Yuanxin Wang 001; Zhaoxin Fan; Mostofa Rafid Uddin; Xin Gao 001; Jing Zhang 062; Xiangrui Zeng; Min Xu 009 (ICIP, 2022)

Prolificacy Assessment of Spermatozoan via State-of-the-Art Deep Learning Frameworks. - Satish Chandra 010; Mahendra Kumar Gourisaria; Harshvardhan GM; Debanjan Konar; Xin Gao 001; Tianyang Wang; Min Xu 009 (IEEE Access, 2022)

Deep-Precognitive Diagnosis: Preventing Future Pandemics by Novel Disease Detection With Biologically-Inspired Conv-Fuzzy Network. - Aviral Chharia; Rahul Upadhyay; Vinay Kumar; Chao Cheng; Jing Zhang 062; Tianyang Wang; Min Xu 009 (IEEE Access, 2022)

Towards robust partially supervised multi-structure medical image segmentation on small-scale data. - Nanqing Dong; Michael Kampffmeyer; Xiaodan Liang; Min Xu 009; Irina Voiculescu; Eric P. Xing (Appl. Soft Comput., 2022)

Cryo-shift: reducing domain shift in cryo-electron subtomograms with unsupervised domain adaptation and randomization. - Hmrishav Bandyopadhyay; Zihao Deng; Leiting Ding; Sinuo Liu; Mostofa Rafid Uddin; Xiangrui Zeng; Sima Behpour; Min Xu 009 (Bioinform., 2022)

Color Space-based HoVer-Net for Nuclei Instance Segmentation and Classification. - Hussam Azzuni; Muhammad Ridzuan; Min Xu 009; Mohammad Yaqub (CoRR, 2022)

Deep Active Learning with Noise Stability. - Xingjian Li 002; Pengkun Yang; Tianyang Wang; Xueying Zhan; Min Xu 009; Dejing Dou; Chengzhong Xu 001 (CoRR, 2022)

Structure Detection in Three-Dimensional Cellular Cryoelectron Tomograms by Reconstructing Two-Dimensional Annotated Tilt Series. - Xiangrui Zeng; Ziqian Lin; Mostofa Rafid Uddin; Bo Zhou 009; Chao Cheng; Jing Zhang 062; Zachary Freyberg; Min Xu 009 (J. Comput. Biol., 2022)

Macromolecules Structural Classification With a 3D Dilated Dense Network in Cryo-Electron Tomography. - Shan Gao; Renmin Han; Xiangrui Zeng; Zhiyong Liu 002; Min Xu 009; Fa Zhang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Venus: An efficient virus infection detection and fusion site discovery method using single-cell and bulk RNA-seq data. - Cheyu Lee; Yuhang Chen; Ziheng Duan; Min Xu 009; Matthew J. Girgenti; Ke Xu 010; Mark Gerstein; Jing Zhang 062 (PLoS Comput. Biol., 2022)

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. - Simon Graham; Quoc Dang Vu; Mostafa Jahanifar; Martin Weigert 001; Uwe Schmidt; Wenhua Zhang; Jun Zhang 018; Sen Yang 006; Jinxi Xiang; Xiyue Wang; Josef Lorenz Rumberger; Elias Baumann; et al. (CoRR, 2023)

DenseMP: Unsupervised Dense Pre-training for Few-shot Medical Image Segmentation. - Zhaoxin Fan; Puquan Pan; Zeren Zhang; Ce Chen; Tianyang Wang; Siyang Zheng; Min Xu 009 (CoRR, 2023)

iHerd: an integrative hierarchical graph representation learning framework to quantify network changes and prioritize risk genes in disease. - Ziheng Duan; Yi Dai; Ahyeon Hwang; Cheyu Lee; Kaichi Xie; Chutong Xiao; Min Xu 009; Matthew J. Girgenti; Jing Zhang 062 (PLoS Comput. Biol., 2023)

Deep Active Learning with Noise Stability. - Xingjian Li 002; Pengkun Yang; Yangcheng Gu; Xueying Zhan; Tianyang Wang; Min Xu 009; Chengzhong Xu 001 (AAAI, 2024)

Synergistic Global-Space Camera and Human Reconstruction from Videos. - Yizhou Zhao; Tuanfeng Yang Wang; Bhiksha Raj; Min Xu 009; Jimei Yang; Chun-Hao Paul Huang (CVPR, 2024)

HGTDP-DTA: Hybrid Graph-Transformer with Dynamic Prompt for Drug-Target Binding Affinity Prediction. - Xi Xiao; Wentao Wang; Jiacheng Xie; Lijing Zhu; Gaofei Chen; Zhengji Li; Tianyang Wang; Min Xu 009 (ICONIP (4), 2024)

MDSN: Multi-stage Context-Aware Nuclei Detection-Segmentation Network. - Hussam Azzuni; Abdulmotaleb El-Saddik; Mohammad Yaqub; Min Xu 009 (MOVI@MICCAI, 2024)

Multi-dimensional Fusion and Consistency for Semi-supervised Medical Image Segmentation. - Yixing Lu; Zhaoxin Fan; Min Xu 009 (MMM (2), 2024)

Metric from Human: Zero-shot Monocular Metric Depth Estimation via Test-time Adaptation. - Yizhou Zhao; Hengwei Bian; Kaihua Chen; Pengliang Ji; Liao Qu; Shao-yu Lin; Weichen Yu; Haoran Li; Hao Chen 102; Jun Shen 001; Bhiksha Raj; Min Xu 009 (NeurIPS, 2024)

Enhancing Weakly Supervised 3D Medical Image Segmentation through Probabilistic-aware Learning. - Zhaoxin Fan; Runmin Jiang; Junhao Wu; Xin Huang; Tianyang Wang; Heng Huang; Min Xu 009 (CoRR, 2024)

DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization. - Mostofa Rafid Uddin; Min Xu 009 (CoRR, 2024)

Improving Knowledge Distillation in Transfer Learning with Layer-wise Learning Rates. - Shirley Kokane; Mostofa Rafid Uddin; Min Xu 009 (CoRR, 2024)

Y-CA-Net: A Convolutional Attention Based Network for Volumetric Medical Image Segmentation. - Muhammad Hamza Sharif; Muzammal Naseer; Mohammad Yaqub; Min Xu 009; Mohsen Guizani (CoRR, 2024)

CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting. - Simon Graham; Quoc Dang Vu; Mostafa Jahanifar; Martin Weigert 001; Uwe Schmidt; Wenhua Zhang; Jun Zhang 018; Sen Yang 006; Jinxi Xiang; Xiyue Wang; Josef Lorenz Rumberger; Elias Baumann; et al. (Medical Image Anal., 2024)

Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo-Labeling. - Haoran Li; Xingjian Li 002; Jiahua Shi; Huaming Chen; Bo Du 004; Daisuke Kihara; Johan Barthélemy; Jun Shen 001; Min Xu 009 (AAAI, 2025)

BOE-ViT: Boosting Orientation Estimation with Equivariance in Self-Supervised 3D Subtomogram Alignment. - Runmin Jiang; Jackson Daggett; Shriya Pingulkar; Yizhou Zhao; Priyanshu Dhingra; Daniel Brown; Qifeng Wu; Xiangrui Zeng; Xingjian Li 002; Min Xu 009 (CVPR, 2025)

DiffCAM: Data-Driven Saliency Maps by Capturing Feature Differences. - Xingjian Li 002; Qiming Zhao; Neelesh Bisht; Mostofa Rafid Uddin; Jin Yu Kim; Bryan Zhang; Min Xu 009 (CVPR, 2025)

Multimodal Generalized Category Discovery. - Yuchang Su; Renping Zhou; Siyu Huang; Xingjian Li 002; Tianyang Wang; Ziyue Wang; Min Xu 009 (CVPR Workshops, 2025)

Fetal-BCP: Addressing Empirical Distribution Gap in Semi-Supervised Fetal Ultrasound Segmentation. - Ha-Hieu Pham; Tran Quoc Khanh Le; Hoang-Thien Nguyen; Nguyen Lan Vi Vu; Quang-Vinh Dinh; Thanh-Huy Nguyen; Xingjian Li 002; Min Xu 009 (ISBI, 2025)

CryoMAE: Few-Shot Cryo-EM Particle Picking with Masked Autoencoders. - Chentianye Xu; Xueying Zhan; Min Xu 009 (WACV, 2025)

Deep video anomaly detection in automated laboratory setting. - Ali Dabouei; Jishnu Parayil Shibu; Vibhu Dalal; Chengzhi Cao; Andy Macwilliams; Joshua Kangas; Min Xu 009 (Expert Syst. Appl., 2025)

Visual Variational Autoencoder Prompt Tuning. - Xi Xiao; Yunbei Zhang; Yanshuh Li; Xingjian Li 002; Tianyang Wang; Jihun Hamm; Xiao Wang 004; Min Xu 009 (CoRR, 2025)

Describe Anything in Medical Images. - Xi Xiao; Yunbei Zhang; Thanh-Huy Nguyen; Ba Thinh Lam; Janet Wang; Lin Zhao; Jihun Hamm; Tianyang Wang; Xingjian Li 002; Xiao Wang 004; Hao Xu; Tianming Liu; et al. (CoRR, 2025)

AutoMiSeg: Automatic Medical Image Segmentation via Test-Time Adaptation of Foundation Models. - Xingjian Li 002; Qifeng Wu; Colleen Que; Yiran Ding; Adithya S. Ubaradka; Jianhua Xing; Tianyang Wang; Min Xu 009 (CoRR, 2025)

SaSi: A Self-augmented and Self-interpreted Deep Learning Approach for Few-shot Cryo-ET Particle Detection. - Gokul Adethya T; Bhanu Pratyush Mantha; Tianyang Wang; Xingjian Li 002; Min Xu 009 (CoRR, 2025)

Total-Editing: Head Avatar with Editable Appearance, Motion, and Lighting. - Yizhou Zhao; Chunjiang Liu; Haoyu Chen; Bhiksha Raj; Min Xu 009; Tadas Baltrusaitis; Mitch Rundle; HsiangTao Wu; Kamran Ghasedi (CoRR, 2025)

CryoCCD: Conditional Cycle-consistent Diffusion with Biophysical Modeling for Cryo-EM Synthesis. - Runmin Jiang; Genpei Zhang; Yuntian Yang; Siqi Wu; Yuheng Zhang; Wanyue Feng; Yizhou Zhao; Xi Xiao; Xiao Wang 004; Tianyang Wang; Xingjian Li 002; Min Xu 009 (CoRR, 2025)

Aligning Proteins and Language: A Foundation Model for Protein Retrieval. - Qifeng Wu; Zhengzhe Liu; Han Zhu; Yizhou Zhao; Daisuke Kihara; Min Xu 009 (CoRR, 2025)

Visual Instance-aware Prompt Tuning. - Xi Xiao; Yunbei Zhang; Xingjian Li 002; Tianyang Wang; Xiao Wang 004; Yuxiang Wei; Jihun Hamm; Min Xu 009 (CoRR, 2025)

MASIV: Toward Material-Agnostic System Identification from Videos. - Yizhou Zhao; Haoyu Chen; Chunjiang Liu; Zhenyang Li; Charles Herrmann; Junhwa Hur; Yinxiao Li; Ming-Hsuan Yang 001; Bhiksha Raj; Min Xu 009 (CoRR, 2025)