Min Xu - RankMe

169 papers A* 14A 8B 5C 1Misc 1Journal 112Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive knowledge transferring with switching dual-student framework for semi-supervised medical image segmentation. Pattern Recognit. Hoang-Thien Nguyen, Thanh-Huy Nguyen, Ba-Thinh Lam, Vi Vu, Bach X. Nguyen, Jianhua Xing, Tianyang Wang, Xingjian Li, Min Xu
2026	J	`jnl`	Beyond Medical Diagnostics: How Medical Multimodal Large Language Models Think in Space. CoRR Quoc-Huy Trinh, Xi Ding, Yang Liu, Zhenyue Qin, Xingjian Li, Gorkem Durak, Halil Ertugrul Aktas, Elif Keles, Ulas Bagci, Min Xu
2026	J	`jnl`	Constraint-Aware Discrete-Time PID Gain Optimization for Robotic Joint Control Under Actuator Saturation. CoRR Ojasva Mishra, Xiaolong Wu, Min Xu
2026	A*	`conf`	DiLO: Disentangled Latent Optimization for Learning Shape and Deformation in Grouped Deforming 3D Objects. AAAI Mostofa Rafid Uddin, Jana Armouti, Umong Sain, Md. Asib Rahman, Xingjian Li, Min Xu
2026	J	`jnl`	Domain-invariant Mixed-domain Semi-supervised Medical Image Segmentation with Clustered Maximum Mean Discrepancy Alignment. CoRR Ba-Thinh Lam, Thanh-Huy Nguyen, Hoang-Thien Nguyen, Quang-Khai Bui-Tran, Nguyen Lan Vi Vu, Phat K. Huynh, Ulas Bagci, Min Xu
2026	J	`jnl`	Evo: Autoregressive-Diffusion Large Language Models with Evolving Balance. CoRR Junde Wu, Minhao Hu, Jiayuan Zhu, Yuyuan Liu, Tianyi Zhang, Kang Li, Jingkun Chen, Jiazhen Pan, Min Xu, Yueming Jin
2026	J	`jnl`	FUGC: Benchmarking Semi-Supervised Learning Methods for Cervical Segmentation. CoRR Jieyun Bai, Yitong Tang, Zihao Zhou, Mahdi Islam, Musarrat Tabassum, Enrique Almar-Munoz, Hongyu Liu, Hui Meng, Nianjiang Lv, Bo Deng, Yu Chen, Zilun Peng, Yusong Xiao, Li Xiao, Nam-Khanh Tran, Dac-Phu Phan-Le, Hai-Dang Nguyen, Xiao Liu, Jiale Hu, Mingxu Huang, Jitao Liang, Chaolu Feng, Xuezhi Zhang, Lyuyang Tong, Bo Du, Ha-Hieu Pham, Thanh-Huy Nguyen, Min Xu, Juntao Jiang, Jiangning Zhang, Yong Liu, Md. Kamrul Hasan, Jie Gan, Zhuonan Liang, Weidong Cai, Yuxin Huang, Gongning Luo, Mohammad Yaqub, Karim Lekadir
2026	J	`jnl`	From Specialist to Generalist: Unlocking SAM's Learning Potential on Unlabeled Medical Images. CoRR Vi Vu, Thanh-Huy Nguyen, Tien-Thinh Nguyen, Ba-Thinh Lam, Hoang-Thien Nguyen, Tianyang Wang, Xingjian Li, Min Xu
2026	J	`jnl`	From Unsupervised to Zero-Shot: 3D Domain Adaptation for Cryo-Electron Tomography Segmentation. Int. J. Comput. Vis. Haoran Li, Xingjian Li, Huan Wang, Jiahua Shi, Huaming Chen, Bo Du, Johan Barthélemy, Daisuke Kihara, Jun Shen, Min Xu
2026	J	`jnl`	MedOpenClaw: Auditable Medical Imaging Agents Reasoning over Uncurated Full Studies. CoRR Weixiang Shen, Yanzhu Hu, Che Liu, Junde Wu, Jiayuan Zhu, Chengzhi Shen, Min Xu, Yueming Jin, Benedikt Wiestler, Daniel Rueckert, Jiazhen Pan
2026	J	`jnl`	Mind the Rarities: Can Rare Skin Diseases Be Reliably Diagnosed via Diagnostic Reasoning? CoRR Yang Liu, Jiyao Yang, Hongjin Zhao, Xiaoyong Li, Yanzhe Ji, Xingjian Li, Runmin Jiang, Tianyang Wang, Saeed Anwar, Dongwoo Kim, Yue Yao, Zhenyue Qin, Min Xu
2026	J	`jnl`	Prompt-based Adaptation in Large-scale Vision Models: A Survey. Trans. Mach. Learn. Res. Xi Xiao, Yunbei Zhang, Lin Zhao, Yiyang Liu, Xiaoying Liao, Zheda Mai, Xingjian Li, Xiao Wang, Hao Xu, Jihun Hamm, Xue Lin, Min Xu, Qifan Wang, Tianyang Wang, Cheng Han
2026	J	`jnl`	Unsupervised SE(3) Disentanglement for in situ Macromolecular Morphology Identification from Cryo-Electron Tomography. CoRR Mostofa Rafid Uddin, Mahek Vora, Qifeng Wu, Muyuan Chen, Min Xu
2025	—	`conf`	AAAI Bridge Program 2025: AI for Medicine and Healthcare. AAAI Bridge Program Jiayuan Zhu, Min Xu, Yueming Jin, Alex Novak, Sarim Ather, Bartlomiej W. Papiez, Xiang Li, Junde Wu
2025	—	`ed.`	AAAI Bridge Program on AI for Medicine and Healthcare, 25 February 2025, Pennsylvania Convention Center, Philadelphia, Pennsylvania, USA AAAI Bridge Program Junde Wu, Jiayuan Zhu, Min Xu, Yueming Jin
2025	J	`jnl`	Adaptive Knowledge Transferring with Switching Dual-Student Framework for Semi-Supervised Medical Image Segmentation. CoRR Thanh-Huy Nguyen, Hoang-Thien Nguyen, Ba Thinh Lam, Vi Vu, Bach X. Nguyen, Jianhua Xing, Tianyang Wang, Xingjian Li, Min Xu
2025	—	`conf`	Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools. ACL (1) Junde Wu, Jiayuan Zhu, Yuyuan Liu, Min Xu, Yueming Jin
2025	J	`jnl`	Aligning Proteins and Language: A Foundation Model for Protein Retrieval. CoRR Qifeng Wu, Zhengzhe Liu, Han Zhu, Yizhou Zhao, Daisuke Kihara, Min Xu
2025	J	`jnl`	Aligning What You Separate: Denoised Patch Mixing for Source-Free Domain Adaptation in Medical Image Segmentation. CoRR Quang-Khai Bui-Tran, Thanh-Huy Nguyen, Hoang-Thien Nguyen, Ba-Thinh Lam, Nguyen Lan Vi Vu, Phat K. Huynh, Ulas Bagci, Min Xu
2025	J	`jnl`	AutoMiSeg: Automatic Medical Image Segmentation via Test-Time Adaptation of Foundation Models. CoRR Xingjian Li, Qifeng Wu, Colleen Que, Yiran Ding, Adithya S. Ubaradka, Jianhua Xing, Tianyang Wang, Min Xu
2025	A*	`conf`	BOE-ViT: Boosting Orientation Estimation with Equivariance in Self-Supervised 3D Subtomogram Alignment. CVPR Runmin Jiang, Jackson Daggett, Shriya Pingulkar, Yizhou Zhao, Priyanshu Dhingra, Daniel Brown, Qifeng Wu, Xiangrui Zeng, Xingjian Li, Min Xu
2025	J	`jnl`	CryoCCD: Conditional Cycle-consistent Diffusion with Biophysical Modeling for Cryo-EM Synthesis. CoRR Runmin Jiang, Genpei Zhang, Yuntian Yang, Siqi Wu, Yuheng Zhang, Wanyue Feng, Yizhou Zhao, Xi Xiao, Xiao Wang, Tianyang Wang, Xingjian Li, Min Xu
2025	A	`conf`	CryoMAE: Few-Shot Cryo-EM Particle Picking with Masked Autoencoders. WACV Chentianye Xu, Xueying Zhan, Min Xu
2025	J	`jnl`	Deep video anomaly detection in automated laboratory setting. Expert Syst. Appl. Ali Dabouei, Jishnu Parayil Shibu, Vibhu Dalal, Chengzhi Cao, Andy Macwilliams, Joshua Kangas, Min Xu
2025	—	`conf`	Describe Anything Model for Visual Question Answering on Text-Rich Images. ICCVW Yen-Linh Vu, Dinh-Thang Duong, Truong-Binh Duong, Anh-Khoi Nguyen, Thanh-Huy Nguyen, Le Thien Phuc Nguyen, Jianhua Xing, Xingjian Li, Tianyang Wang, Ulas Bagci, Min Xu
2025	J	`jnl`	Describe Anything Model for Visual Question Answering on Text-rich Images. CoRR Yen-Linh Vu, Dinh-Thang Duong, Truong-Binh Duong, Anh-Khoi Nguyen, Thanh-Huy Nguyen, Le Thien Phuc Nguyen, Jianhua Xing, Xingjian Li, Tianyang Wang, Ulas Bagci, Min Xu
2025	J	`jnl`	Describe Anything in Medical Images. CoRR Xi Xiao, Yunbei Zhang, Thanh-Huy Nguyen, Ba Thinh Lam, Janet Wang, Lin Zhao, Jihun Hamm, Tianyang Wang, Xingjian Li, Xiao Wang, Hao Xu, Tianming Liu, Min Xu
2025	J	`jnl`	DiLO: Disentangled Latent Optimization for Learning Shape and Deformation in Grouped Deforming 3D Objects. CoRR Mostofa Rafid Uddin, Jana Armouti, Umong Sain, Md. Asib Rahman, Xingjian Li, Min Xu
2025	A*	`conf`	DiffCAM: Data-Driven Saliency Maps by Capturing Feature Differences. CVPR Xingjian Li, Qiming Zhao, Neelesh Bisht, Mostofa Rafid Uddin, Jin Yu Kim, Bryan Zhang, Min Xu
2025	A	`conf`	Distilling Aggregated Knowledge for Weakly-Supervised Video Anomaly Detection. WACV Jash Dalvi, Ali Dabouei, Gunjan Dhanuka, Min Xu
2025	J	`jnl`	DuetMatch: Harmonizing Semi-Supervised Brain MRI Segmentation via Decoupled Branch Optimization. CoRR Thanh-Huy Nguyen, Hoang-Thien Nguyen, Vi Vu, Ba Thinh Lam, Phat Huynh, Tianyang Wang, Xingjian Li, Ulas Bagci, Min Xu
2025	J	`jnl`	DuetMatch: Harmonizing semi-supervised brain MRI segmentation via decoupled branch optimization. Comput. Medical Imaging Graph. Thanh-Huy Nguyen, Hoang-Thien Nguyen, Vi Vu, Ba Thinh Lam, Phat Huynh, Tianyang Wang, Xingjian Li, Ulas Bagci, Min Xu
2025	—	`conf`	Fetal-BCP: Addressing Empirical Distribution Gap in Semi-Supervised Fetal Ultrasound Segmentation. ISBI Ha-Hieu Pham, Tran Quoc Khanh Le, Hoang-Thien Nguyen, Nguyen Lan Vi Vu, Quang-Vinh Dinh, Thanh-Huy Nguyen, Xingjian Li, Min Xu
2025	A	`conf`	J-Invariant Volume Shuffle for Self-Supervised Cryo-Electron Tomogram Denoising on Single Noisy Volume. WACV Xiwei Liu, Mohamad Kassab, Min Xu, Qirong Ho
2025	J	`jnl`	Localization of macromolecules in crowded cellular cryo-electron tomograms from extremely sparse labels. Briefings Bioinform. Mostofa Rafid Uddin, Ajmain Yasar Ahmed, H. M. Shadman Tabib, Md Toki Tahmid, Md. Zarif Ul Alam, Zachary Freyberg, Min Xu
2025	J	`jnl`	MASIV: Toward Material-Agnostic System Identification from Videos. CoRR Yizhou Zhao, Haoyu Chen, Chunjiang Liu, Zhenyang Li, Charles Herrmann, Junhwa Hur, Yinxiao Li, Ming-Hsuan Yang, Bhiksha Raj, Min Xu
2025	J	`jnl`	MVGFormer: Multi-view perspective with graph-guided transformer for cryo-ET segmentation. Knowl. Based Syst. Haoran Li, Xingjian Li, Huan Wang, Jiahua Shi, Huaming Chen, Yizhou Zhao, Bo Du, Johan Barthélemy, Daisuke Kihara, Jun Shen, Min Xu
2025	—	`conf`	Medical Graph RAG: Evidence-based Medical Large Language Model via Graph Retrieval-Augmented Generation. ACL (1) Junde Wu, Jiayuan Zhu, Yunli Qi, Jingkun Chen, Min Xu, Filippo Menolascina, Yueming Jin, Vicente Grau
2025	J	`jnl`	Modality-Specific Enhancement and Complementary Fusion for Semi-Supervised Multi-Modal Brain Tumor Segmentation. CoRR Tien-Dat Chung, Ba-Thinh Lam, Thanh-Huy Nguyen, Thien Nguyen, Nguyen Lan Vi Vu, Hoang-Loc Cao, Phat K. Huynh, Min Xu
2025	—	`conf`	Multimodal Generalized Category Discovery. CVPR Workshops Yuchang Su, Renping Zhou, Siyu Huang, Xingjian Li, Tianyang Wang, Ziyue Wang, Min Xu
2025	J	`jnl`	Pro-NeXt: An All-in-One Unified Model for General Fine-Grained Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Junde Wu, Jiayuan Zhu, Min Xu, Yueming Jin
2025	J	`jnl`	Prompt-based Adaptation in Large-scale Vision Models: A Survey. CoRR Xi Xiao, Yunbei Zhang, Lin Zhao, Yiyang Liu, Xiaoying Liao, Zheda Mai, Xingjian Li, Xiao Wang, Hao Xu, Jihun Hamm, Xue Lin, Min Xu, Qifan Wang, Tianyang Wang, Cheng Han
2025	J	`jnl`	SaSi: A Self-augmented and Self-interpreted Deep Learning Approach for Few-shot Cryo-ET Particle Detection. CoRR Gokul Adethya T, Bhanu Pratyush Mantha, Tianyang Wang, Xingjian Li, Min Xu
2025	J	`jnl`	Semi-MoE: Mixture-of-Experts meets Semi-Supervised Histopathology Segmentation. CoRR Nguyen Lan Vi Vu, Thanh-Huy Nguyen, Thien Nguyen, Daisuke Kihara, Tianyang Wang, Xingjian Li, Min Xu
2025	—	`conf`	Semi-Supervised Histopathology Image Segmentation with Feature Diversified Collaborative Learning. AAAI Bridge Program Thanh-Huy Nguyen, Nguyen Lan Vi Vu, Hoang-Thien Nguyen, Quang-Vinh Dinh, Xingjian Li, Min Xu
2025	Misc	`conf`	TD-RD: A Top-Down Benchmark with Real-Time Framework for Road Damage Detection. ICASSP Xi Xiao, Zhengji Li, Wentao Wang, Jiacheng Xie, Houjie Lin, Swalpa Kumar Roy, Tianyang Wang, Min Xu
2025	J	`jnl`	TD-RD: A Top-Down Benchmark with Real-Time Framework for Road Damage Detection. CoRR Xi Xiao, Zhengji Li, Wentao Wang, Jiacheng Xie, Houjie Lin, Swalpa Kumar Roy, Tianyang Wang, Min Xu
2025	J	`jnl`	TextCAM: Explaining Class Activation Map with Text. CoRR Qiming Zhao, Xingjian Li, Xiaoyu Cao, Xiaolong Wu, Min Xu
2025	—	`conf`	Total-Editing: Head Avatar with Editable Appearance, Motion, and Lighting. ICCVW Yizhou Zhao, Chunjiang Liu, Haoyu Chen, Bhiksha Raj, Min Xu, Tadas Baltrusaitis, Mitch Rundle, HsiangTao Wu, Kamran Ghasedi
2025	J	`jnl`	Total-Editing: Head Avatar with Editable Appearance, Motion, and Lighting. CoRR Yizhou Zhao, Chunjiang Liu, Haoyu Chen, Bhiksha Raj, Min Xu, Tadas Baltrusaitis, Mitch Rundle, HsiangTao Wu, Kamran Ghasedi
2025	J	`jnl`	Towards Foundation Models for Cryo-ET Subtomogram Analysis. CoRR Runmin Jiang, Wanyue Feng, Yuntian Yang, Shriya Pingulkar, Hong Wang, Xi Xiao, Xiaoyu Cao, Genpei Zhang, Xiao Wang, Xiaolong Wu, Tianyang Wang, Yang Liu, Xingjian Li, Min Xu
2025	J	`jnl`	Towards molecular structure discovery from cryo-ET density volumes via modelling auxiliary semantic prototypes. Briefings Bioinform. Ashwin R. Nair, Xingjian Li, Bhupendra Solanki, Souradeep Mukhopadhyay, Ankit Jha, Mostofa Rafid Uddin, Mainak Singha, Biplab Banerjee, Min Xu
2025	A*	`conf`	Visual Instance-aware Prompt Tuning. ACM Multimedia Xi Xiao, Yunbei Zhang, Xingjian Li, Tianyang Wang, Xiao Wang, Yuxiang Wei, Jihun Hamm, Min Xu
2025	J	`jnl`	Visual Instance-aware Prompt Tuning. CoRR Xi Xiao, Yunbei Zhang, Xingjian Li, Tianyang Wang, Xiao Wang, Yuxiang Wei, Jihun Hamm, Min Xu
2025	J	`jnl`	Visual Variational Autoencoder Prompt Tuning. CoRR Xi Xiao, Yunbei Zhang, Yanshuh Li, Xingjian Li, Tianyang Wang, Jihun Hamm, Xiao Wang, Min Xu
2025	A*	`conf`	Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo-Labeling. AAAI Haoran Li, Xingjian Li, Jiahua Shi, Huaming Chen, Bo Du, Daisuke Kihara, Johan Barthélemy, Jun Shen, Min Xu
2024	J	`jnl`	CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting. Medical Image Anal. Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot
2024	J	`jnl`	CryoMAE: Few-Shot Cryo-EM Particle Picking with Masked Autoencoders. CoRR Chentianye Xu, Xueying Zhan, Min Xu
2024	—	`conf`	CryoSAM: Training-Free CryoET Tomogram Segmentation with Foundation Models. MICCAI (8) Yizhou Zhao, Hengwei Bian, Michael Mu, Mostofa Rafid Uddin, Zhenyang Li, Xiang Li, Tianyang Wang, Min Xu
2024	A*	`conf`	Deep Active Learning with Noise Stability. AAAI Xingjian Li, Pengkun Yang, Yangcheng Gu, Xueying Zhan, Tianyang Wang, Min Xu, Chengzhong Xu
2024	J	`jnl`	DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization. CoRR Mostofa Rafid Uddin, Min Xu
2024	J	`jnl`	Enhancing Weakly Supervised 3D Medical Image Segmentation through Probabilistic-aware Learning. CoRR Zhaoxin Fan, Runmin Jiang, Junhao Wu, Xin Huang, Tianyang Wang, Heng Huang, Min Xu
2024	—	`conf`	HGTDP-DTA: Hybrid Graph-Transformer with Dynamic Prompt for Drug-Target Binding Affinity Prediction. ICONIP (4) Xi Xiao, Wentao Wang, Jiacheng Xie, Lijing Zhu, Gaofei Chen, Zhengji Li, Tianyang Wang, Min Xu
2024	J	`jnl`	HGTDP-DTA: Hybrid Graph-Transformer with Dynamic Prompt for Drug-Target Binding Affinity Prediction. CoRR Xi Xiao, Wentao Wang, Jiacheng Xie, Lijing Zhu, Gaofei Chen, Zhengji Li, Tianyang Wang, Min Xu
2024	J	`jnl`	Improving Knowledge Distillation in Transfer Learning with Layer-wise Learning Rates. CoRR Shirley Kokane, Mostofa Rafid Uddin, Min Xu
2024	J	`jnl`	J-Invariant Volume Shuffle for Self-Supervised Cryo-Electron Tomogram Denoising on Single Noisy Volume. CoRR Xiwei Liu, Mohamad Kassab, Min Xu, Qirong Ho
2024	J	`jnl`	Knowledge transfer from macro-world to micro-world: enhancing 3D Cryo-ET classification through fine-tuning video-based deep models. Bioinform. Sabhay Jain, Xingjian Li, Min Xu
2024	—	`conf`	MDSN: Multi-stage Context-Aware Nuclei Detection-Segmentation Network. MOVI@MICCAI Hussam Azzuni, Abdulmotaleb El Saddik, Mohammad Yaqub, Min Xu
2024	A*	`conf`	MedSegDiff-V2: Diffusion-Based Medical Image Segmentation with Transformer. AAAI Junde Wu, Wei Ji, Huazhu Fu, Min Xu, Yueming Jin, Yanwu Xu
2024	A*	`conf`	Metric from Human: Zero-shot Monocular Metric Depth Estimation via Test-time Adaptation. NeurIPS Yizhou Zhao, Hengwei Bian, Kaihua Chen, Pengliang Ji, Liao Qu, Shao-yu Lin, Weichen Yu, Haoran Li, Hao Chen, Jun Shen, Bhiksha Raj, Min Xu
2024	—	`conf`	Multi-dimensional Fusion and Consistency for Semi-supervised Medical Image Segmentation. MMM (2) Yixing Lu, Zhaoxin Fan, Min Xu
2024	J	`jnl`	Multimodal Generalized Category Discovery. CoRR Yuchang Su, Renping Zhou, Siyu Huang, Xingjian Li, Tianyang Wang, Ziyue Wang, Min Xu
2024	J	`jnl`	Not just Birds and Cars: Generic, Scalable and Explainable Models for Professional Visual Recognition. CoRR Junde Wu, Jiayuan Zhu, Min Xu, Yueming Jin
2024	A*	`conf`	Synergistic Global-Space Camera and Human Reconstruction from Videos. CVPR Yizhou Zhao, Tuanfeng Yang Wang, Bhiksha Raj, Min Xu, Jimei Yang, Chun-Hao Paul Huang
2024	J	`jnl`	Synergistic Global-space Camera and Human Reconstruction from Videos. CoRR Yizhou Zhao, Tuanfeng Y. Wang, Bhiksha Raj, Min Xu, Jimei Yang, Chun-Hao Paul Huang
2024	J	`jnl`	Training-free CryoET Tomogram Segmentation. CoRR Yizhou Zhao, Hengwei Bian, Michael Mu, Mostofa Rafid Uddin, Zhenyang Li, Xiang Li, Tianyang Wang, Min Xu
2024	J	`jnl`	TransResNet: Integrating the Strengths of ViTs and CNNs for High Resolution Medical Image Segmentation via Feature Grafting. CoRR Muhammad Hamza Sharif, Dmitry Demidov, Asif Hanif, Mohammad Yaqub, Min Xu
2024	J	`jnl`	Uncertainty-Aware Adapter: Adapting Segment Anything Model (SAM) for Ambiguous Medical Image Segmentation. CoRR Mingzhou Jiang, Jiaying Zhou, Junde Wu, Tianyang Wang, Yueming Jin, Min Xu
2024	J	`jnl`	Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo Labeling. CoRR Haoran Li, Xingjian Li, Jiahua Shi, Huaming Chen, Bo Du, Daisuke Kihara, Johan Barthélemy, Jun Shen, Min Xu
2024	J	`jnl`	Y-CA-Net: A Convolutional Attention Based Network for Volumetric Medical Image Segmentation. CoRR Muhammad Hamza Sharif, Muzammal Naseer, Mohammad Yaqub, Min Xu, Mohsen Guizani
2023	J	`jnl`	CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting. CoRR Simon Graham, Quoc Dang Vu, Mostafa Jahanifar, Martin Weigert, Uwe Schmidt, Wenhua Zhang, Jun Zhang, Sen Yang, Jinxi Xiang, Xiyue Wang, Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Lihao Liu, Chenyang Hong, Angelica I. Avilés-Rivero, Ayushi Jain, Heeyoung Ahn, Yiyu Hong, Hussam Azzuni, Min Xu, Mohammad Yaqub, Marie-Claire Blache, Benoît Piégu, Bertrand Vernay, Tim Scherr, Moritz Böhland, Katharina Löffler, Jiachen Li, Weiqin Ying, Chixin Wang, Dagmar Kainmueller, Carola-Bibiane Schönlieb, Shuolin Liu, Dhairya Talsania, Yughender Meda, Prakash Mishra, Muhammad Ridzuan, Oliver Neumann, Marcel P. Schilling, Markus Reischl, Ralf Mikut, Banban Huang, Hsiang-Chin Chien, Ching-Ping Wang, Chia-Yen Lee, Hong-Kun Lin, Zaiyi Liu, Xipeng Pan, Chu Han, Jijun Cheng, Muhammad Dawood, Srijay Deshpande, Raja Muhammad Saad Bashir, Adam Shephard, Pedro Costa, João D. Nunes, Aurélio Campilho, Jaime S. Cardoso, Hrishikesh P. S, Densen Puthussery, Devika R. G, Jiji C V, Ye Zhang, Zijie Fang, Zhifan Lin, Yongbing Zhang, Chunhui Lin, Liukun Zhang, Lijian Mao, Min Wu, Thi Tuong Vi Vo, Soo-Hyung Kim, Taebum Lee, Satoshi Kondo, Satoshi Kasai, Pranay Dumbhare, Vedant Phuse, Yash Dubey, Ankush Jamthikar, Trinh Thi Le Vuong, Jin Tae Kwak, Dorsa Ziaei, Hyun Jung, Tianyi Miao, David R. J. Snead, Shan-E-Ahmed Raza, Fayyaz Minhas, Nasir M. Rajpoot
2023	J	`jnl`	DenseMP: Unsupervised Dense Pre-training for Few-shot Medical Image Segmentation. CoRR Zhaoxin Fan, Puquan Pan, Zeren Zhang, Ce Chen, Tianyang Wang, Siyang Zheng, Min Xu
2023	J	`jnl`	Multi-dimensional Fusion and Consistency for Semi-supervised Medical Image Segmentation. CoRR Yixing Lu, Zhaoxin Fan, Min Xu
2023	J	`jnl`	iHerd: an integrative hierarchical graph representation learning framework to quantify network changes and prioritize risk genes in disease. PLoS Comput. Biol. Ziheng Duan, Yi Dai, Ahyeon Hwang, Cheyu Lee, Kaichi Xie, Chutong Xiao, Min Xu, Matthew J. Girgenti, Jing Zhang
2022	A*	`conf`	Boosting Active Learning via Improving Test Performance. AAAI Tianyang Wang, Xingjian Li, Pengkun Yang, Guosheng Hu, Xiangrui Zeng, Siyu Huang, Cheng-Zhong Xu, Min Xu
2022	J	`jnl`	Color Space-based HoVer-Net for Nuclei Instance Segmentation and Classification. CoRR Hussam Azzuni, Muhammad Ridzuan, Min Xu, Mohammad Yaqub
2022	J	`jnl`	Cryo-shift: reducing domain shift in cryo-electron subtomograms with unsupervised domain adaptation and randomization. Bioinform. Hmrishav Bandyopadhyay, Zihao Deng, Leiting Ding, Sinuo Liu, Mostofa Rafid Uddin, Xiangrui Zeng, Sima Behpour, Min Xu
2022	B	`conf`	Deep Active Learning for Cryo-Electron Tomography Classification. ICIP Tianyang Wang, Bo Li, Jing Zhang, Xiangrui Zeng, Mostofa Rafid Uddin, Wei Wu, Min Xu
2022	J	`jnl`	Deep Active Learning with Noise Stability. CoRR Xingjian Li, Pengkun Yang, Tianyang Wang, Xueying Zhan, Min Xu, Dejing Dou, Chengzhong Xu
2022	J	`jnl`	Deep-Precognitive Diagnosis: Preventing Future Pandemics by Novel Disease Detection With Biologically-Inspired Conv-Fuzzy Network. IEEE Access Aviral Chharia, Rahul Upadhyay, Vinay Kumar, Chao Cheng, Jing Zhang, Tianyang Wang, Min Xu
2022	A*	`conf`	Harmony: A Generic Unsupervised Approach for Disentangling Semantic Content from Parameterized Transformations. CVPR Mostofa Rafid Uddin, Gregory Howe, Xiangrui Zeng, Min Xu
2022	J	`jnl`	Macromolecules Structural Classification With a 3D Dilated Dense Network in Cryo-Electron Tomography. IEEE ACM Trans. Comput. Biol. Bioinform. Shan Gao, Renmin Han, Xiangrui Zeng, Zhiyong Liu, Min Xu, Fa Zhang
2022	J	`jnl`	Prolificacy Assessment of Spermatozoan via State-of-the-Art Deep Learning Frameworks. IEEE Access Satish Chandra, Mahendra Kumar Gourisaria, Harshvardhan GM, Debanjan Konar, Xin Gao, Tianyang Wang, Min Xu
2022	J	`jnl`	SHREC 2021: Classification in cryo-electron tomograms. CoRR Ilja Gubins, Marten L. Chaillet, Gijs van der Schot, M. Cristina Trueba, Remco C. Veltkamp, Friedrich Förster, Xiao Wang, Daisuke Kihara, Emmanuel Moebel, Nguyen P. Nguyen, Tommi A. White, Filiz Bunyak, Giorgos Papoulias, Stavros Gerolymatos, Evangelia I. Zacharaki, Konstantinos Moustakas, Xiangrui Zeng, Sinuo Liu, Min Xu, Yaoyu Wang, Cheng Chen, Xuefeng Cui, Fa Zhang
2022	J	`jnl`	Structure Detection in Three-Dimensional Cellular Cryoelectron Tomograms by Reconstructing Two-Dimensional Annotated Tilt Series. J. Comput. Biol. Xiangrui Zeng, Ziqian Lin, Mostofa Rafid Uddin, Bo Zhou, Chao Cheng, Jing Zhang, Zachary Freyberg, Min Xu
2022	J	`jnl`	Towards robust partially supervised multi-structure medical image segmentation on small-scale data. Appl. Soft Comput. Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Min Xu, Irina Voiculescu, Eric P. Xing
2022	A	`conf`	TransResNet: Integrating the Strengths of ViTs and CNNs for High Resolution Medical Image Segmentation via Feature Grafting. BMVC Muhammad Hamza Sharif, Dmitry Demidov, Asif Hanif, Mohammad Yaqub, Min Xu
2022	B	`conf`	Unsupervised Multi-Task Learning for 3D Subtomogram Image Alignment, Clustering and Segmentation. ICIP Haoyi Zhu, Chuting Wang, Yuanxin Wang, Zhaoxin Fan, Mostofa Rafid Uddin, Xin Gao, Jing Zhang, Xiangrui Zeng, Min Xu
2022	J	`jnl`	Venus: An efficient virus infection detection and fusion site discovery method using single-cell and bulk RNA-seq data. PLoS Comput. Biol. Cheyu Lee, Yuhang Chen, Ziheng Duan, Min Xu, Matthew J. Girgenti, Ke Xu, Mark Gerstein, Jing Zhang
2021	J	`jnl`	Active Learning to Classify Macromolecular Structures in situ for Less Supervision in Cryo-Electron Tomography. CoRR Xuefeng Du, Haohan Wang, Zhenxi Zhu, Xiangrui Zeng, Yi-Wei Chang, Jing Zhang, Eric Poe Xing, Min Xu
2021	J	`jnl`	Active learning to classify macromolecular structures in situ for less supervision in cryo-electron tomography. Bioinform. Xuefeng Du, Haohan Wang, Zhenxi Zhu, Xiangrui Zeng, Yi-Wei Chang, Jing Zhang, Eric P. Xing, Min Xu
2021	J	`jnl`	Boosting Active Learning via Improving Test Performance. CoRR Tianyang Wang, Xingjian Li, Pengkun Yang, Guosheng Hu, Xiangrui Zeng, Siyu Huang, Cheng-Zhong Xu, Min Xu
2021	J	`jnl`	Cryo-shift: Reducing domain shift in cryo-electron subtomograms with unsupervised domain adaptation and randomization. CoRR Hmrishav Bandyopadhyay, Zihao Deng, Leiting Ding, Sinuo Liu, Mostofa Rafid Uddin, Xiangrui Zeng, Sima Behpour, Min Xu
2021	J	`jnl`	DECODE: a Deep-learning framework for Condensing enhancers and refining boundaries with large-scale functional assays. Bioinform. Zhanlin Chen, Jing Zhang, Jason Liu, Yi Dai, Donghoon Lee, Martin Renqiang Min, Min Xu, Mark Gerstein
2021	J	`jnl`	Disentangling semantic features of macromolecules in Cryo-Electron Tomography. CoRR Kai Yi, Jianye Pang, Yungeng Zhang, Xiangrui Zeng, Min Xu
2021	A*	`conf`	End-to-end robust joint unsupervised image alignment and clustering. ICCV Xiangrui Zeng, Gregory Howe, Min Xu
2021	J	`jnl`	Few shot domain adaptation for in situ macromolecule structural classification in cryoelectron tomograms. Bioinform. Liangyong Yu, Ran Li, Xiangrui Zeng, Hongyi Wang, Jie Jin, Ge Yang, Rui Jiang, Min Xu
2021	—	`conf`	Practical Analysis of Macromolecule Identity from Cryo-electron Tomography Images using Deep Learning. AIPR Mostofa Rafid Uddin, Ajmain Yasar Ahmed, Md. Kafi Khan, Md Shahrar Fatemi, Xiangrui Zeng, Min Xu
2021	J	`jnl`	SCAN-ATAC-Sim: a scalable and efficient method for simulating single-cell ATAC-seq data from bulk-tissue experiments. Bioinform. Zhanlin Chen, Jing Zhang, Jason Liu, Zixuan Zhang, Jiangqi Zhu, Donghoon Lee, Min Xu, Mark Gerstein
2021	—	`conf`	SHREC 2021: Classification in Cryo-electron Tomograms. 3DOR Ilja Gubins, Marten L. Chaillet, Gijs van der Schot, M. Cristina Trueba, Remco C. Veltkamp, Friedrich Förster, Xiao Wang, Daisuke Kihara, Emmanuel Moebel, Nguyen P. Nguyen, Tommi A. White, Filiz Bunyak, Giorgos Papoulias, Stavros Gerolymatos, Evangelia I. Zacharaki, Konstantinos Moustakas, Xiangrui Zeng, Sinuo Liu, Min Xu, Yaoyu Wang, Cheng Chen, Xuefeng Cui, Fa Zhang
2021	B	`conf`	Unsupervised Domain Alignment Based Open Set Structural Recognition of Macromolecules Captured By Cryo-Electron Tomography. ICIP Yuchen Zeng, Gregory Howe, Kai Yi, Xiangrui Zeng, Jing Zhang, Yi-Wei Chang, Min Xu
2021	A*	`conf`	Weakly Supervised 3D Semantic Segmentation Using Cross-Image Consensus and Inter-Voxel Affinity Relations. ICCV Xiaoyu Zhu, Jeffrey Chen, Xiangrui Zeng, Junwei Liang, Chengqi Li, Sinuo Liu, Sima Behpour, Min Xu
2020	J	`jnl`	A simulated annealing approach for resolution guided homogeneous cryo-electron microscopy image selection. Quant. Biol. Jie Shi, Xiangrui Zeng, Rui Jiang, Tao Jiang, Min Xu
2020	J	`jnl`	A unified framework for packing deformable and non-deformable subcellular structures in crowded cryo-electron tomogram simulation. BMC Bioinform. Sinuo Liu, Xiaojuan Ban, Xiangrui Zeng, Fengnian Zhao, Yuan Gao, Wenjie Wu, Hongpan Zhang, Feiyang Chen, Thomas Hall, Xin Gao, Min Xu
2020	J	`jnl`	AttPNet: Attention-Based Deep Neural Network for 3D Point Set Analysis. Sensors Yufeng Yang, Yixiao Ma, Jing Zhang, Xin Gao, Min Xu
2020	—	`conf`	Dilated-DenseNet for Macromolecule Classification in Cryo-electron Tomography. ISBRA Shan Gao, Renmin Han, Xiangrui Zeng, Xuefeng Cui, Zhiyong Liu, Min Xu, Fa Zhang
2020	—	`conf`	Efficient Cryo-Electron Tomogram Simulation of Macromolecular Crowding with Application to SARS-CoV-2. BIBM Sinuo Liu, Yan Ma, Xiaojuan Ban, Xiangrui Zeng, Mohan Vamsi Nallapareddy, Ajinkya Chaudhari, Min Xu
2020	J	`jnl`	Few shot domain adaptation for in situ macromolecule structural classification in cryo-electron tomograms. CoRR Liangyong Yu, Ran Li, Xiangrui Zeng, Hongyi Wang, Jie Jin, Ge Yang, Rui Jiang, Min Xu
2020	J	`jnl`	Few-shot learning for classification of novel macromolecular structures in cryo-electron tomograms. PLoS Comput. Biol. Ran Li, Liangyong Yu, Bo Zhou, Xiangrui Zeng, Zhenyu Wang, Xiaoyan Yang, Jing Zhang, Xin Gao, Rui Jiang, Min Xu
2020	A*	`conf`	Gum-Net: Unsupervised Geometric Matching for Fast and Accurate 3D Subtomogram Image Alignment and Averaging. CVPR Xiangrui Zeng, Min Xu
2020	J	`jnl`	Improving Lesion Segmentation for Diabetic Retinopathy using Adversarial Learning. CoRR Qiqi Xiao, Jiaxu Zou, Muqiao Yang, Alex Gaudio, Kris Kitani, Asim Smailagic, Pedro Costa, Min Xu
2020	J	`jnl`	PUB-SalNet: A Pre-Trained Unsupervised Self-Aware Backpropagation Network for Biomedical Salient Segmentation. Algorithms Feiyang Chen, Ying Jiang, Xiangrui Zeng, Jing Zhang, Xin Gao, Min Xu
2020	J	`jnl`	Poly(A)-DG: A deep-learning-based domain generalization method to identify cross-species Poly(A) signal without prior knowledge from target species. PLoS Comput. Biol. Yumin Zheng, Haohan Wang, Yang Zhang, Xin Gao, Eric P. Xing, Min Xu
2020	J	`jnl`	SHREC 2020: Classification in cryo-electron tomograms. Comput. Graph. Ilja Gubins, Marten L. Chaillet, Gijs van der Schot, Remco C. Veltkamp, Friedrich Förster, Yu Hao, Xiaohua Wan, Xuefeng Cui, Fa Zhang, Emmanuel Moebel, Xiao Wang, Daisuke Kihara, Xiangrui Zeng, Min Xu, Nguyen P. Nguyen, Tommi A. White, Filiz Bunyak
2020	J	`jnl`	Spark-based parallel calculation of 3D fourier shell correlation for macromolecule structure local resolution estimation. BMC Bioinform. Yongchun Lü, Xiangrui Zeng, Xinhui Tian, Xiao Shi, Hui Wang, Xiaohui Zheng, Xiaodong Liu, Xiaofang Zhao, Xin Gao, Min Xu
2020	J	`jnl`	Towards Robust Medical Image Segmentation on Small-Scale Data with Incomplete Labels. CoRR Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Min Xu, Irina Voiculescu, Eric P. Xing
2019	J	`jnl`	A joint method for marker-free alignment of tilt series in electron tomography. Bioinform. Renmin Han, Zhipeng Bao, Xiangrui Zeng, Tongxin Niu, Fa Zhang, Min Xu, Xin Gao
2019	J	`jnl`	AITom: Open-source AI platform for cryo-electron Tomography data analysis. CoRR Xiangrui Zeng, Min Xu
2019	J	`jnl`	Adversarial domain adaptation for cross data source macromolecule in situ structural classification in cellular electron cryo-tomograms. Bioinform. Ruogu Lin, Xiangrui Zeng, Kris Kitani, Min Xu
2019	J	`jnl`	Automatic localization and identification of mitochondria in cellular electron cryo-tomography using faster-RCNN. BMC Bioinform. Ran Li, Xiangrui Zeng, Stephanie E. Sigmund, Ruogu Lin, Bo Zhou, Chang Liu, Kaiwen Wang, Rui Jiang, Zachary Freyberg, Hairong Lv, Min Xu
2019	—	`conf`	Classification in Cryo-Electron Tomograms. 3DOR@Eurographics Ilja Gubins, Gijs van der Schot, Remco C. Veltkamp, Friedrich Förster, Xuefeng Du, Xiangrui Zeng, Zhenxi Zhu, Lufan Chang, Min Xu, Emmanuel Moebel, Antonio Martínez-Sánchez, Charles Kervrann, Tuan Manh Lai, Xusi Han, Genki Terashi, Daisuke Kihara, Benjamin A. Himes, Xiaohua Wan, Jingrong Zhang, Shan Gao, Yu Hao, Zhilong Lv, Xiaohua Wan, Zhidong Yang, Zijun Ding, Xuefeng Cui, Fa Zhang
2019	B	`conf`	Deep Learning-Based Strategy For Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography. IJCNN Ziqian Luo, Xiangrui Zeng, Zhipeng Bao, Min Xu
2019	J	`jnl`	Deep Learning-Based Strategy for Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography. CoRR Ziqian Luo, Xiangrui Zeng, Zhipeng Bao, Min Xu
2019	—	`conf`	Domain Randomization for Macromolecule Structure Classification and Segmentation in Electron Cyro-tomograms. BIBM Chengqian Che, Zhou Xian, Xiangrui Zeng, Xin Gao, Min Xu
2019	—	`conf`	Ellipse Detection of Optic Disc-and-Cup Boundary in Fundus Images. ISBI Zeya Wang, Nanqing Dong, Sean D. Rosario, Min Xu, Pengtao Xie, Eric P. Xing
2019	J	`jnl`	Fine-grained alignment of cryo-electron subtomograms based on MPI parallel optimization. BMC Bioinform. Yongchun Lü, Xiangrui Zeng, Xiaofang Zhao, Shirui Li, Hua Li, Xin Gao, Min Xu
2019	—	`conf`	Improving Lesion Segmentation for Diabetic Retinopathy Using Adversarial Learning. ICIAR (2) Qiqi Xiao, Jiaxu Zou, Muqiao Yang, Alex Gaudio, Kris Kitani, Asim Smailagic, Pedro Costa, Min Xu
2019	J	`jnl`	Learn to segment single cells with deep distance estimator and deep cell detector. Comput. Biol. Medicine Weikang Wang, David A. Taft, Yi-Jiun Chen, Jingyu Zhang, Callen T. Wallace, Min Xu, Simon C. Watkins, Jianhua Xing
2019	—	`conf`	Neural Architecture Search for Adversarial Medical Image Segmentation. MICCAI (6) Nanqing Dong, Min Xu, Xiaodan Liang, Yiliang Jiang, Wei Dai, Eric P. Xing
2019	A	`conf`	Open-set Recognition of Unseen Macromolecules in Cellular Electron Cryo-Tomograms by Soft Large Margin Centralized Cosine Loss. BMVC Xuefeng Du, Xiangrui Zeng, Bo Zhou, Alex Singh, Min Xu
2019	—	`conf`	Regularized Adversarial Training (RAT) for Robust Cellular Electron Cryo Tomograms Classification. BIBM Xindi Wu, Yijun Mao, Haohan Wang, Xiangrui Zeng, Xin Gao, Eric P. Xing, Min Xu
2019	A	`conf`	Semi-supervised Macromolecule Structural Classification in Cellular Electron Cryo-Tomograms using 3D Autoencoding Classifier. BMVC Siyuan Liu, Xuefeng Du, Rong Xi, Fuya Xu, Xiangrui Zeng, Bo Zhou, Min Xu
2018	J	`jnl`	An integration of fast alignment and maximum-likelihood methods for electron subtomogram averaging and classification. Bioinform. Yixiu Zhao, Xiangrui Zeng, Qiang Guo, Min Xu
2018	J	`jnl`	An integration of fast alignment and maximum-likelihood methods for electron subtomogram averaging and classification. CoRR Yixiu Zhao, Xiangrui Zeng, Qiang Guo, Min Xu
2018	B	`conf`	Deep Learning Based Supervised Semantic Segmentation of Electron Cryo-Subtomograms. ICIP Chang Liu, Xiangrui Zeng, Ruogu Lin, Xiaodan Liang, Zachary Freyberg, Eric P. Xing, Min Xu
2018	J	`jnl`	Deep learning based supervised semantic segmentation of Electron Cryo-Subtomograms. CoRR Chang Liu, Xiangrui Zeng, Ruogu Lin, Xiaodan Liang, Zachary Freyberg, Eric P. Xing, Min Xu
2018	—	`conf`	Feature Decomposition Based Saliency Detection in Electron Cryo-Tomograms. BIBM Bo Zhou, Qiang Guo, Kaiwen Wang, Xiangrui Zeng, Xin Gao, Min Xu
2018	J	`jnl`	Feature Decomposition Based Saliency Detection in Electron Cryo-Tomograms. CoRR Bo Zhou, Qiang Guo, Xiangrui Zeng, Min Xu
2018	A	`conf`	Image-derived generative modeling of pseudo-macromolecular structures - towards the statistical assessment of Electron CryoTomography template matching. BMVC Kaiwen Wang, Xiangrui Zeng, Xiaodan Liang, Zhiguang Huo, Eric P. Xing, Min Xu
2018	J	`jnl`	Image-derived generative modeling of pseudo-macromolecular structures - towards the statistical assessment of Electron CryoTomography template matching. CoRR Kaiwen Wang, Xiangrui Zeng, Xiaodan Liang, Zhiguang Huo, Eric P. Xing, Min Xu
2018	J	`jnl`	Improved deep learning-based macromolecules structure classification from electron cryo-tomograms. Mach. Vis. Appl. Chengqian Che, Ruogu Lin, Xiangrui Zeng, Karim Elmaaroufi, John M. Galeotti, Min Xu
2018	—	`conf`	Model Compression for Faster Structural Separation of Macromolecules Captured by Cellular Electron Cryo-Tomography. ICIAR JiaLiang Guo, Bo Zhou, Xiangrui Zeng, Zachary Freyberg, Min Xu
2018	J	`jnl`	Model compression for faster structural separation of macromolecules captured by Cellular Electron Cryo-Tomography. CoRR JiaLiang Guo, Bo Zhou, Xiangrui Zeng, Zachary Freyberg, Min Xu
2018	A	`conf`	Multi-task Learning for Macromolecule Classification, Segmentation and Coarse Structural Recovery in Cryo-Tomography. BMVC Chang Liu, Xiangrui Zeng, Kaiwen Wang, Qiang Guo, Min Xu
2018	J	`jnl`	Multi-task Learning for Macromolecule Classification, Segmentation and Coarse Structural Recovery in Cryo-Tomography. CoRR Chang Liu, Xiangrui Zeng, Kaiwen Wang, Qiang Guo, Min Xu
2018	—	`conf`	Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations. MICCAI (1) Guannan Zhao, Bo Zhou, Kaiwen Wang, Rui Jiang, Min Xu
2018	J	`jnl`	Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations. CoRR Guannan Zhao, Bo Zhou, Kaiwen Wang, Rui Jiang, Min Xu
2017	J	`jnl`	A convolutional autoencoder approach for mining features in cellular electron cryo-tomograms and weakly supervised coarse segmentation. CoRR Xiangrui Zeng, Miguel Ricardo Leung, Tzviya Zeev-Ben-Mordehai, Min Xu
2017	J	`jnl`	Deep learning-based subdivision approach for large scale macromolecules structure recovery from electron cryo tomograms. Bioinform. Min Xu, Xiaoqi Chai, Hariank Muthakana, Xiaodan Liang, Ge Yang, Tzviya Zeev-Ben-Mordehai, Eric P. Xing
2016	J	`jnl`	Simulating cryo electron tomograms of crowded cell cytoplasm for assessment of automated particle picking. BMC Bioinform. Long Pei, Min Xu, Zachary Frazier, Frank Alber
2013	J	`jnl`	Automated target segmentation and real space fast alignment methods for high-throughput classification and averaging of crowded cryo-electron subtomograms. Bioinform. Min Xu, Frank Alber
2012	J	`jnl`	High precision alignment of cryo-electron subtomograms through gradient-based parallel optimization. BMC Syst. Biol. Min Xu, Frank Alber
2011	J	`jnl`	Template-free detection of macromolecular complexes in cryo electron tomograms. Bioinform. Min Xu, Martin Beck, Frank Alber
2010	J	`jnl`	A fast mathematical programming procedure for simultaneous fitting of assembly components into cryoEM density maps. Bioinform. Shi-Hua Zhang, Daven Vasishtan, Min Xu, Maya Topf, Frank Alber
2010	J	`jnl`	Unraveling complex temporal associations in cellular systems across multiple time-series microarray datasets. J. Biomed. Informatics Wenyuan Li, Min Xu, Xianghong Jasmine Zhou
2009	—	`conf`	3D Rotation Invariant Features for the Characterization of Molecular Density Maps. BIBM Min Xu, Shi-Hua Zhang, Frank Alber
2007	C	`conf`	A Robust Method for Generating Discriminative Gene Clusters. BIBE Min Xu, Louxin Zhang, Pei Li Joe Zhou
2007	—	`conf`	Characterizing Disease-specific Pathways and Their Coordination by Integrative Microarray Analysis with Application to Cancer. BIOCOMP Min Xu, Ming-Chih J. Kao, Juan Nunez-Iglesias, Joseph Nevins, Mike West, Xianghong Jasmine Zhou
2006	J	`jnl`	Integrative Array Analyzer: a software package for analysis of cross-platform and cross-species microarray data. Bioinform. Fei Pan, Kiran Kamath, Kangyu Zhang, Sudip Pulapura, Avinash Achar, Juan Nunez-Iglesias, Yu Huang, Xifeng Yan, Jiawei Han, Haiyan Hu, Min Xu, Jianjun Hu, Xianghong Jasmine Zhou