Bo Wang

108 papers A* 16A 2B 1Journal 67Unranked 16
YearRankTypeTitle / Venue / Authors
2026 — ed.
Fast, Low-Resource, Accurate Robust Organ and Pan-cancer Segmentation - MICCAI Challenge, FLARE 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings
FLARE@MICCAI
Jun Ma, Bo Wang
2026 J jnl
dnaHNet: A Scalable and Hierarchical Foundation Model for Genomic Sequence Learning.
CoRR
Arnav Shah, Junzhe Li, Parsa Idehpour, Adibvafa Fallahpour, Brandon Wang, Sukjun Hwang, Bo Wang, Patrick D. Hsu, Hani Goodarzi, Albert Gu
2025 J jnl
Benchmarking and Evaluation of AI Models in Biology: Outcomes and Recommendations from the CZI Virtual Cells Workshop.
CoRR
Elizabeth Fahsbender, Alma Andersson, Jeremy Ash, Polina Binder, Daniel Burkhardt, Benjamin Chang, Georg K. Gerber, Anthony Gitter, Patrick Godau, Ankit Gupta, Genevieve Haliburton, Siyu He, Trey Ideker, Ivana Jelic, Aly Khan, Yang-Joon Kim, Aditi Krishnapriyan, Jon M. Laurent, Tianyu Liu, Emma Lundberg, Shalin B. Mehta, Rob Moccia, Angela Oliveira Pisco, Katherine S. Pollard, Suresh Ramani, Julio Saez-Rodriguez, Yasin Senbabaoglu, Elana Simon, Srinivasan Sivanandan, Gustavo Stolovitzky, Marc Valer, Bo Wang, Xikun Zhang, James Zou, Katrina Kalantar
2025 J jnl
BioReason: Incentivizing Multimodal Biological Reasoning within a DNA-LLM Model.
CoRR
Adibvafa Fallahpour, Andrew Magnuson, Purav Gupta, Shihao Ma, Jack Naimer, Arnav Shah, Haonan Duan, Omar Ibrahim, Hani Goodarzi, Chris J. Maddison, Bo Wang
2025 J jnl
EVA-X: a foundation model for general chest x-ray analysis with self-supervised learning.
npj Digit. Medicine
Jingfeng Yao, Xinggang Wang, Yuehao Song, Huangxuan Zhao, Jun Ma, Yajie Chen, Wenyu Liu, Bo Wang
2025 — conf
Exploring the Design Space of 3D MLLMs for CT Report Generation.
MICCAI (6)
Mohammed Baharoon, Jun Ma, Congyu Fang, Augustin Toma, Bo Wang
2025 J jnl
Exploring the Design Space of 3D MLLMs for CT Report Generation.
CoRR
Mohammed Baharoon, Jun Ma, Congyu Fang, Augustin Toma, Bo Wang
2025 J jnl
Facial Foundational Model Advances Early Warning of Coronary Artery Disease from Live Videos with DigitalShadow.
CoRR
Juexiao Zhou, Zhongyi Han, Mankun Xin, Xingwei He, Guotao Wang, Jiaoyan Song, Gongning Luo, Wenjia He, Xintong Li, Yuetan Chu, Juanwen Chen, Bo Wang, Xia Wu, Wenwen Duan, Zhixia Guo, Liyan Bai, Yilin Pan, Xuefei Bi, Lu Liu, Long Feng, Xiaonan He, Xin Gao
2025 J jnl
FraGNNet: A Deep Probabilistic Model for Tandem Mass Spectrum Prediction.
Trans. Mach. Learn. Res.
Adamo Young, Fei Wang, David S. Wishart, Bo Wang, Russell Greiner, Hannes Rost
2025 A* conf
MedRAX: Medical Reasoning Agent for Chest X-ray.
ICML
Adibvafa Fallahpour, Jun Ma, Alif Munim, Hongwei Lyu, Bo Wang
2025 J jnl
MedRAX: Medical Reasoning Agent for Chest X-ray.
CoRR
Adibvafa Fallahpour, Jun Ma, Alif Munim, Hongwei Lyu, Bo Wang
2025 J jnl
MedSAM2: Segment Anything in 3D Medical Images and Videos.
CoRR
Jun Ma, Zongxin Yang, Sumin Kim, Bihui Chen, Mohammed Baharoon, Adibvafa Fallahpour, Reza Asakereh, Hongwei Lyu, Bo Wang
2025 — ed.
Medical Image Segmentation Foundation Models. CVPR 2024 Challenge: Segment Anything in Medical Images on Laptop - MedSAM on Laptop 2024, Held in Conjunction with CVPR 2024, Seattle, WA, USA, June 17-21, 2024, Proceedings
MedSAM@CVPR
Jun Ma, Yuyin Zhou, Bo Wang
2025 A* conf
MorphoDiff: Cellular Morphology Painting with Diffusion Models.
ICLR
Zeinab Navidi, Jun Ma, Esteban Miglietta, Le Liu, Anne E. Carpenter, Beth A. Cimini, Benjamin Haibe-Kains, Bo Wang
2025 J jnl
Moving towards genome-wide data integration for patient stratification with Integrate Any Omics.
Nat. Mac. Intell.
Shihao Ma, Andy G. X. Zeng, Benjamin Haibe-Kains, Anna Goldenberg, John E. Dick, Bo Wang
2025 J jnl
Towards Applying Large Language Models to Complement Single-Cell Foundation Models.
CoRR
Steven Palayew, Bo Wang, Gary D. Bader
2025 J jnl
Transformers and genome language models.
Nat. Mac. Intell.
Micaela E. Consens, Cameron Dufault, Michael Wainberg, Duncan Forster, Mehran Karimzadeh, Hani Goodarzi, Fabian J. Theis, Alan M. Moses, Bo Wang
2024 J jnl
Automatic Organ and Pan-cancer Segmentation in Abdomen CT: the FLARE 2023 Challenge.
CoRR
Jun Ma, Yao Zhang, Song Gu, Cheng Ge, Ershuai Wang, Qin Zhou, Ziyan Huang, Pengju Lyu, Jian He, Bo Wang
2024 J jnl
Current opinions on large cellular models.
Quant. Biol.
Minsheng Hao, Lei Wei, Fan Yang, Jianhua Yao, Christina V. Theodoris, Bo Wang, Xin Li, Ge Yang, Xuegong Zhang
2024 J jnl
EVA-X: A Foundation Model for General Chest X-ray Analysis with Self-supervised Learning.
CoRR
Jingfeng Yao, Xinggang Wang, Yuehao Song, Huangxuan Zhao, Jun Ma, Yajie Chen, Wenyu Liu, Bo Wang
2024 J jnl
Efficient MedSAMs: Segment Anything in Medical Images on Laptop.
CoRR
Jun Ma, Feifei Li, Sumin Kim, Reza Asakereh, Bao-Hiep Le, Dang-Khoa Nguyen-Vu, Alexander Pfefferle, Muxin Wei, Ruochen Gao, Donghang Lyu, Songxiao Yang, Lennart Purucker, Zdravko Marinov, Marius Staring, Haisheng Lu, Thuy Thanh Dao, Xincheng Ye, Zhi Li, Gianluca Brugnara, Philipp Vollmuth, Martha Foltyn-Dumitru, Jaeyoung Cho, Mustafa A. Mahmutoglu, Martin Bendszus, Irada Pflüger, Aditya Rastogi, Dong Ni, Xin Yang, Guang-Quan Zhou, Kaini Wang, Nicholas Heller, Nikolaos Papanikolopoulos, Christopher J. Weight, Yubing Tong, Jayaram K. Udupa, Patrick J. Cahill, Yaqi Wang, Yifan Zhang, Francisco Contijoch, Elliot R. McVeigh, Xin Ye, Shucheng He, Robert Haase, Thomas Pinetz, Alexander Radbruch, Inga Krause, Erich Kobler, Jian He, Yucheng Tang, Haichun Yang, Yuankai Huo, Gongning Luo, Kaisar Kushibar, Jandos Amankulov, Dias Toleshbayev, Amangeldi Mukhamejan, Jan Egger, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Shohei Fujita, Tomohiro Kikuchi, Benedikt Wiestler, Jan S. Kirschke, Ezequiel de la Rosa, Federico Bolelli, Luca Lumetti, Costantino Grana, Kunpeng Xie, Guomin Wu, Behrus Puladi, Carlos Martín-Isla, Karim Lekadir, Víctor M. Campello, Wei Shao, Wayne Brisbane, Hongxu Jiang, Hao Wei, Wu Yuan, Shuangle Li, Yuyin Zhou, Bo Wang
2024 — ed.
Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT - MICCAI Challenge, FLARE 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings
FLARE@MICCAI
Jun Ma, Bo Wang
2024 J jnl
FraGNNet: A Deep Probabilistic Model for Mass Spectrum Prediction.
CoRR
Adamo Young, Fei Wang, David S. Wishart, Bo Wang, Hannes L. Röst, Russ Greiner
2024 J jnl
GPT-4V(ision) Unsuitable for Clinical Care and Education: A Clinician-Evaluated Assessment.
CoRR
Senthujan Senkaiahliyan, Augustin Toma, Jun Ma, An-Wen Chan, Andrew Ha, Kevin R. An, Hrishikesh Suresh, Barry B. Rubin, Bo Wang
2024 J jnl
Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces.
CoRR
Chloe Wang, Oleksii Tsepa, Jun Ma, Bo Wang
2024 J jnl
How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities.
CoRR
Charlotte Bunne, Yusuf H. Roohani, Yanay Rosen, Ankit Gupta, Xikun Zhang, Marcel Roed, Theo Alexandrov, Mohammed AlQuraishi, Patricia Brennan, Daniel B. Burkhardt, Andrea Califano, Jonah Cool, Abby F. Dernburg, Kirsty Ewing, Emily B. Fox, Matthias Haury, Amy E. Herr, Eric Horvitz, Patrick D. Hsu, Viren Jain, Gregory R. Johnson, Thomas Kalil, David R. Kelley, Shana O. Kelley, Anna Kreshuk, Tim Mitchison, Stephani Otte, Jay Shendure, Nicolas J. Sofroniew, Fabian J. Theis, Christina V. Theodoris, Srigokul Upadhyayula, Marc Valer, Bo Wang, Eric Xing, Serena Yeung-Levy, Marinka Zitnik, Theofanis Karaletsos, Aviv Regev, Emma Lundberg, Jure Leskovec, Stephen R. Quake
2024 J jnl
Improving prognostic accuracy in lung transplantation using unique features of isolated human lung radiographs.
npj Digit. Medicine
Bonnie T. Chao, Andrew T. Sage, Micheal C. McInnis, Jun Ma, Micah Grubert Van Iderstine, Xuanzi Zhou, Jerome Valero, Marcelo Cypel, Mingyao Liu, Bo Wang, Shaf Keshavjee
2024 J jnl
Integrate Any Omics: Towards genome-wide data integration for patient stratification.
CoRR
Shihao Ma, Andy G. X. Zeng, Benjamin Haibe-Kains, Anna Goldenberg, John E. Dick, Bo Wang
2024 A* conf
MassSpecGym: A benchmark for the discovery and identification of molecules.
NeurIPS
Roman Bushuiev, Anton Bushuiev, Niek F. de Jonge, Adamo Young, Fleming Kretschmer, Raman Samusevich, Janne Heirman, Fei Wang, Luke Zhang, Kai Dührkop, Marcus Ludwig, Nils A. Haupt, Apurva Kalia, Corinna Brungs, Robin Schmid, Russell Greiner, Bo Wang, David S. Wishart, Liping Liu, Juho Rousu, Wout Bittremieux, Hannes Rost, Tytus D. Mak, Soha Hassoun, Florian Huber, Justin J. J. van der Hooft, Michael A. Stravs, Sebastian Böcker, Josef Sivic, Tomás Pluskal
2024 J jnl
MassSpecGym: A benchmark for the discovery and identification of molecules.
CoRR
Roman Bushuiev, Anton Bushuiev, Niek F. de Jonge, Adamo Young, Fleming Kretschmer, Raman Samusevich, Janne Heirman, Fei Wang, Luke Zhang, Kai Dührkop, Marcus Ludwig, Nils A. Haupt, Apurva Kalia, Corinna Brungs, Robin Schmid, Russell Greiner, Bo Wang, David S. Wishart, Li-Ping Liu, Juho Rousu, Wout Bittremieux, Hannes Rost, Tytus D. Mak, Soha Hassoun, Florian Huber, Justin J. J. van der Hooft, Michael A. Stravs, Sebastian Böcker, Josef Sivic, Tomás Pluskal
2024 J jnl
Results from the autoPET challenge on fully automated lesion segmentation in oncologic PET/CT imaging.
Nat. Mac. Intell.
Sergios Gatidis, Marcel Früh, Matthias Fabritius, Sijing Gu, Konstantin Nikolaou, Christian la Fougère, Jin Ye, Junjun He, Yige Peng, Lei Bi, Jun Ma, Bo Wang, Jia Zhang, Yukun Huang, Lars Heiliger, Zdravko Marinov, Rainer Stiefelhagen, Jan Egger, Jens Kleesiek, Ludovic Sibille, Lei Xiang, Simone Bendazzoli, Mehdi Astaraki, Michael Ingrisch, Clemens C. Cyran, Thomas Küstner
2024 J jnl
Segment Anything in Medical Images and Videos: Benchmark and Deployment.
CoRR
Jun Ma, Sumin Kim, Feifei Li, Mohammed Baharoon, Reza Asakereh, Hongwei Lyu, Bo Wang
2024 J jnl
Tandem mass spectrum prediction for small molecules using graph transformers.
Nat. Mac. Intell.
Adamo Young, Hannes L. Röst, Bo Wang
2024 — conf
Towards a personalized pregnancy experience: Forecasting symptoms using graph neural networks and digital health technologies.
ML4H@NeurIPS
Rui Zhu, Jennifer Yu, Stephen H. Friend, Sarah M. Goodday, Bo Wang, Anna Goldenberg
2024 J jnl
U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation.
CoRR
Jun Ma, Feifei Li, Bo Wang
2024 — conf
WangLab at MEDIQA-CORR 2024: Optimized LLM-based Programs for Medical Error Detection and Correction.
ClinicalNLP@NAACL
Augustin Toma, Ronald Xie, Steven Palayew, Patrick R. Lawler, Bo Wang
2024 — conf
WangLab at MEDIQA-M3G 2024: Multimodal Medical Answer Generation using Large Language Models.
ClinicalNLP@NAACL
Augustin Toma, Ronald Xie, Steven Palayew, Gary D. Bader, Bo Wang
2024 J jnl
WangLab at MEDIQA-M3G 2024: Multimodal Medical Answer Generation using Large Language Models.
CoRR
Ronald Xie, Steven Palayew, Augustin Toma, Gary D. Bader, Bo Wang
2023 J jnl
Clinical Note Generation from Doctor-Patient Conversations using Large Language Models: Insights from MEDIQA-Chat.
CoRR
John M. Giorgi, Augustin Toma, Ronald Xie, Sondra Chen, Kevin R. An, Grace X. Zheng, Bo Wang
2023 A* conf
MAESTER: Masked Autoencoder Guided Segmentation at Pixel Resolution for Accurate, Self-Supervised Subcellular Structure Recognition.
CVPR
Ronald Xie, Kuan Pang, Gary D. Bader, Bo Wang
2023 — conf
Moment-alignment domain adaptation in the few-shot and low-resource context.
SIPAIM
Lauren Erdman, Mandy Rickard, Kyla N. Velear, Daniel Alvarez, Kunj Sheth, Armando J. Lorenzo, Bo Wang, Anna Goldenberg
2023 — conf
Open Domain Multi-document Summarization: A Comprehensive Study of Model Brittleness under Retrieval.
EMNLP (Findings)
John M. Giorgi, Luca Soldaini, Bo Wang, Gary D. Bader, Kyle Lo, Lucy Lu Wang, Arman Cohan
2023 — conf
Pre-trained Diffusion Models for Plug-and-Play Medical Image Enhancement.
MICCAI (3)
Jun Ma, Yuanzhi Zhu, Chenyu You, Bo Wang
2023 J jnl
Reusability report: Evaluating reproducibility and reusability of a fine-tuned model to predict drug response in cancer patient samples.
Nat. Mac. Intell.
Emily So, Fengqing Yu, Bo Wang, Benjamin Haibe-Kains
2023 J jnl
Segment Anything in Medical Images.
CoRR
Jun Ma, Bo Wang
2023 J jnl
Spatially Resolved Gene Expression Prediction from H&E Histology Images via Bi-modal Contrastive Learning.
CoRR
Ronald Xie, Kuan Pang, Gary D. Bader, Bo Wang
2023 A* conf
Spatially Resolved Gene Expression Prediction from Histology Images via Bi-modal Contrastive Learning.
NeurIPS
Ronald Xie, Kuan Pang, Sai Chung, Catia Perciani, Sonya MacParland, Bo Wang, Gary D. Bader
2023 J jnl
Splicing Up Your Predictions with RNA Contrastive Learning.
CoRR
Philip Fradkin, Ruian Shi, Bo Wang, Brendan J. Frey, Leo J. Lee
2023 J jnl
The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions.
CoRR
Jun Ma, Ronald Xie, Shamini Ayyadhury, Cheng Ge, Anubha Gupta, Ritu Gupta, Song Gu, Yao Zhang, Gihun Lee, Joonkee Kim, Wei Lou, Haofeng Li, Eric Upschulte, Timo Dickscheid, José Guilherme de Almeida, Yixin Wang, Lin Han, Xin Yang, Marco Labagnara, Sahand Jamal Rahi, Carly Kempster, Alice Pollitt, Leon Espinosa, Tâm Mignot, Jan Moritz Middeke, Jan-Niklas Eckardt, Wangkai Li, Zhaoyang Li, Xiaochen Cai, Bizhe Bai, Noah F. Greenwald, David Van Valen, Erin Weisbart, Beth A. Cimini, Zhuoshi Li, Chao Zuo, Oscar Brück, Gary D. Bader, Bo Wang
2023 J jnl
To Transformers and Beyond: Large Language Models for the Genome.
CoRR
Micaela E. Consens, Cameron Dufault, Michael Wainberg, Duncan Forster, Mehran Karimzadeh, Hani Goodarzi, Fabian J. Theis, Alan M. Moses, Bo Wang
2023 J jnl
Unleashing the Strengths of Unlabeled Data in Pan-cancer Abdominal Organ Quantification: the FLARE22 Challenge.
CoRR
Jun Ma, Yao Zhang, Song Gu, Cheng Ge, Shihao Ma, Adamo Young, Cheng Zhu, Kangkang Meng, Xin Yang, Ziyan Huang, Fan Zhang, Wentao Liu, YuanKe Pan, Shoujin Huang, Jiacheng Wang, Mingze Sun, Weixin Xu, Dengqiang Jia, Jae Won Choi, Natália Alves, Bram De Wilde, Gregor Köhler, Yajun Wu, Manuel Wiesenfarth, Qiongjie Zhu, Guoqiang Dong, Jian He, FLARE Challenge Consortium, Bo Wang
2023 — conf
WangLab at MEDIQA-Chat 2023: Clinical Note Generation from Doctor-Patient Conversations using Large Language Models.
ClinicalNLP@ACL
John M. Giorgi, Augustin Toma, Ronald Xie, Sondra Chen, Kevin R. An, Grace X. Zheng, Bo Wang
2022 J jnl
A graph neural network approach for molecule carcinogenicity prediction.
Bioinform.
Philip Fradkin, Adamo Young, Lazar Atanackovic, Brendan J. Frey, Leo J. Lee, Bo Wang
2022 — conf
A sequence-to-sequence approach for document-level relation extraction.
BioNLP@ACL
John M. Giorgi, Gary D. Bader, Bo Wang
2022 J jnl
A sequence-to-sequence approach for document-level relation extraction.
CoRR
John M. Giorgi, Gary D. Bader, Bo Wang
2022 J jnl
BigBIO: A Framework for Data-Centric Biomedical Natural Language Processing.
CoRR
Jason Alan Fries, Leon Weber, Natasha Seelam, Gabriel Altay, Debajyoti Datta, Samuele Garda, Myungsun Kang, Ruisi Su, Wojciech Kusa, Samuel Cahyawijaya, Fabio Barth, Simon Ott, Matthias Samwald, Stephen H. Bach, Stella Biderman, Mario Sänger, Bo Wang, Alison Callahan, Daniel León Periñán, Théo Gigant, Patrick Haller, Jenny Chim, José David Posada, John Michael Giorgi, Karthik Rangasai Sivaraman, Marc Pàmies, Marianna Nezhurina, Robert Martin, Michael Cullan, Moritz Freidank, Nathan Dahlberg, Shubhanshu Mishra, Shamik Bose, Nicholas Michio Broad, Yanis Labrak, Shlok S. Deshmukh, Sid Kiblawi, Ayush Singh, Minh Chien Vu, Trishala Neeraj, Jonas Golde, Albert Villanova del Moral, Benjamin Beilharz
2022 A* conf
BigBio: A Framework for Data-Centric Biomedical Natural Language Processing.
NeurIPS
Jason A. Fries, Leon Weber, Natasha Seelam, Gabriel Altay, Debajyoti Datta, Samuele Garda, Sunny Kang, Rosaline Su, Wojciech Kusa, Samuel Cahyawijaya, Fabio Barth, Simon Ott, Matthias Samwald, Stephen H. Bach, Stella Biderman, Mario Sänger, Bo Wang, Alison Callahan, Daniel León Periñán, Théo Gigant, Patrick Haller, Jenny Chim, José D. Posada, John M. Giorgi, Karthik Rangasai Sivaraman, Marc Pàmies, Marianna Nezhurina, Robert Martin, Michael Cullan, Moritz Freidank, Nathan Dahlberg, Shubhanshu Mishra, Shamik Bose, Nicholas Broad, Yanis Labrak, Shlok Deshmukh, Sid Kiblawi, Ayush Singh, Minh Chien Vu, Trishala Neeraj, Jonas Golde, Albert Villanova del Moral, Benjamin Beilharz
2022 J jnl
Developing a random forest algorithm to identify patent foramen ovale and atrial septal defects in Ontario administrative databases.
BMC Medical Informatics Decis. Mak.
Laura Oliva, Eric Horlick, Bo Wang, Ella Huszti, Ruth Hall, Lusine Abrahamyan
2022 J jnl
Exploring the Challenges of Open Domain Multi-Document Summarization.
CoRR
John M. Giorgi, Luca Soldaini, Bo Wang, Gary D. Bader, Kyle Lo, Lucy Lu Wang, Arman Cohan
2022 — ed.
Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation - MICCAI 2022 Challenge, FLARE 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings
FLARE@MICCAI
Jun Ma, Bo Wang
2022 — ed.
Proceedings of The Cell Segmentation Challenge in Multi-modality High-Resolution Microscopy Images, Competitions in Neural Information Processing Systems, December 7, 2022, New Orleans, LA, USA
Cell Segmentation Challenge @ NeurIPS
Jun Ma, Ronald Xie, Anubha Gupta, José Guilherme de Almeida, Gary D. Bader, Bo Wang
2022 J jnl
The promise of machine learning applications in solid organ transplantation.
npj Digit. Medicine
Neta Gotlieb, Amirhossein Azhie, Divya Sharma, Ashley Spann, Nan-Ji Suo, Jason Tran, Ani Orchanian-Cheff, Bo Wang, Anna Goldenberg, Michael Chassé, Héloïse Cardinal, Joseph Paul Cohen, Andrea Lodi, Melanie Dieude, Mamatha Bhat
2021 — conf
DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations.
ACL/IJCNLP (1)
John M. Giorgi, Osvald Nitski, Bo Wang, Gary D. Bader
2021 J jnl
Deep Differentiable Random Forests for Age Estimation.
IEEE Trans. Pattern Anal. Mach. Intell.
Wei Shen, Yilu Guo, Yan Wang, Kai Zhao, Bo Wang, Alan L. Yuille
2021 J jnl
MassFormer: Tandem Mass Spectrum Prediction with Graph Transformers.
CoRR
Adamo Young, Bo Wang, Hannes L. Röst
2020 — conf
CDF-Net: Cross-Domain Fusion Network for Accelerated MRI Reconstruction.
MICCAI (2)
Osvald Nitski, Sayan Nag, Chris McIntosh, Bo Wang
2020 J jnl
DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations.
CoRR
John M. Giorgi, Osvald Nitski, Gary D. Bader, Bo Wang
2020 A* conf
Diversity Transfer Network for Few-Shot Learning.
AAAI
Mengting Chen, Yuxin Fang, Xinggang Wang, Heng Luo, Yifeng Geng, Xinyu Zhang, Chang Huang, Wenyu Liu, Bo Wang
2020 A conf
Robust Face Detection via Learning Small Faces on Hard Images.
WACV
Zhishuai Zhang, Wei Shen, Siyuan Qiao, Yan Wang, Bo Wang, Alan L. Yuille
2019 J jnl
Deep Differentiable Random Forests for Age Estimation.
CoRR
Wei Shen, Yilu Guo, Yan Wang, Kai Zhao, Bo Wang, Alan L. Yuille
2019 J jnl
Diversity Transfer Network for Few-Shot Learning.
CoRR
Mengting Chen, Yuxin Fang, Xinggang Wang, Heng Luo, Yifeng Geng, Xinyu Zhang, Chang Huang, Wenyu Liu, Bo Wang
2019 J jnl
End-to-end Named Entity Recognition and Relation Extraction using Pre-trained Language Models.
CoRR
John M. Giorgi, Xindi Wang, Nicola Sahar, Won Young Shin, Gary D. Bader, Bo Wang
2019 J jnl
Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities.
Inf. Fusion
Marinka Zitnik, Francis Nguyen, Bo Wang, Jure Leskovec, Anna Goldenberg, Michael M. Hoffman
2019 A* conf
Moment Matching for Multi-Source Domain Adaptation.
ICCV
Xingchao Peng, Qinxun Bai, Xide Xia, Zijun Huang, Kate Saenko, Bo Wang
2019 J jnl
Weakly supervised mitosis detection in breast histopathology images using concentric loss.
Medical Image Anal.
Chao Li, Xinggang Wang, Wenyu Liu, Longin Jan Latecki, Bo Wang, Junzhou Huang
2018 — conf
Deep Co-Training for Semi-Supervised Image Recognition.
ECCV (15)
Siyuan Qiao, Wei Shen, Zhishuai Zhang, Bo Wang, Alan L. Yuille
2018 J jnl
Deep Co-Training for Semi-Supervised Image Recognition.
CoRR
Siyuan Qiao, Wei Shen, Zhishuai Zhang, Bo Wang, Alan L. Yuille
2018 A* conf
Deep Regression Forests for Age Estimation.
CVPR
Wei Shen, Yilu Guo, Yan Wang, Kai Zhao, Bo Wang, Alan L. Yuille
2018 A* conf
Gradually Updated Neural Networks for Large-Scale Image Recognition.
ICML
Siyuan Qiao, Zhishuai Zhang, Wei Shen, Bo Wang, Alan L. Yuille
2018 J jnl
Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities.
CoRR
Marinka Zitnik, Francis Nguyen, Bo Wang, Jure Leskovec, Anna Goldenberg, Michael M. Hoffman
2018 J jnl
Moment Matching for Multi-Source Domain Adaptation.
CoRR
Xingchao Peng, Qinxun Bai, Xide Xia, Zijun Huang, Kate Saenko, Bo Wang
2018 J jnl
Network Enhancement: a general method to denoise weighted biological networks.
CoRR
Bo Wang, Armin Pourshafeie, Marinka Zitnik, Junjie Zhu, Carlos D. Bustamante, Serafim Batzoglou, Jure Leskovec
2018 J jnl
Robust Face Detection via Learning Small Faces on Hard Images.
CoRR
Zhishuai Zhang, Wei Shen, Siyuan Qiao, Yan Wang, Bo Wang, Alan L. Yuille
2018 A* conf
Single-Shot Object Detection With Enriched Semantics.
CVPR
Zhishuai Zhang, Siyuan Qiao, Cihang Xie, Wei Shen, Bo Wang, Alan L. Yuille
2017 J jnl
Deep Regression Forests for Age Estimation.
CoRR
Wei Shen, Yilu Guo, Yan Wang, Kai Zhao, Bo Wang, Alan L. Yuille
2017 J jnl
Gradually Updated Neural Networks for Large-Scale Image Recognition.
CoRR
Siyuan Qiao, Zhishuai Zhang, Wei Shen, Bo Wang, Alan L. Yuille
2017 J jnl
SIMLR: a tool for large-scale single-cell analysis by multi-kernel learning.
CoRR
Bo Wang, Daniele Ramazzotti, Luca De Sano, Junjie Zhu, Emma Pierson, Serafim Batzoglou
2017 J jnl
Single-Shot Object Detection with Enriched Semantics.
CoRR
Zhishuai Zhang, Siyuan Qiao, Cihang Xie, Wei Shen, Bo Wang, Alan L. Yuille
2017 J jnl
Vicus: Exploiting local structures to improve network-based analysis of biological data.
PLoS Comput. Biol.
Bo Wang, Lin Huang, Yuke Zhu, Anshul Kundaje, Serafim Batzoglou, Anna Goldenberg
2017 — —
Visualization and analysis of single-cell RNA-seq data by kernel-based similarity learning.
Bo Wang
2016 J jnl
Dynamic label propagation for semi-supervised multi-class multi-label classification.
Pattern Recognit.
Bo Wang, John K. Tsotsos
2016 J jnl
Reveel: large-scale population genotyping using low-coverage sequencing data.
Bioinform.
Lin Huang, Bo Wang, Ruitang Chen, Sivan Bercovici, Serafim Batzoglou
2016 — conf
Unsupervised Learning from Noisy Networks with Applications to Hi-C Data.
NIPS
Bo Wang, Junjie Zhu, Armin Pourshafeie, Oana Ursu, Serafim Batzoglou, Anshul Kundaje
2014 J jnl
Gradient-based Laplacian Feature Selection.
CoRR
Bo Wang, Anna Goldenberg
2013 A* conf
Dynamic Label Propagation for Semi-supervised Multi-class Multi-label Classification.
ICCV
Bo Wang, Zhuowen Tu, John K. Tsotsos
2013 A conf
Early Recurrence Improves Edge Detection.
BMVC
Xun Shi, Bo Wang, John K. Tsotsos
2013 J jnl
Face identification using reference-based features with message passing model.
Neurocomputing
Wei Shen, Bo Wang, Yueming Wang, Xiang Bai, Longin Jan Latecki
2013 J jnl
Parameter Estimation for ODEs Using a Cross-Entropy Approach.
SIAM J. Sci. Comput.
Bo Wang, Wayne Enright
2013 A* conf
Sparse Subspace Denoising for Image Manifolds.
CVPR
Bo Wang, Zhuowen Tu
2012 A* conf
Affinity learning via self-diffusion for image segmentation and clustering.
CVPR
Bo Wang, Zhuowen Tu
2012 J jnl
Co-Transduction for Shape Retrieval.
IEEE Trans. Image Process.
Xiang Bai, Bo Wang, Cong Yao, Wenyu Liu, Zhuowen Tu
2012 A* conf
Unsupervised metric fusion by cross diffusion.
CVPR
Bo Wang, Jiayan Jiang, Wei Wang, Zhi-Hua Zhou, Zhuowen Tu
2011 J jnl
Effective Improved Graph Transduction.
J. Softw.
Jun Chen, Yu Zhou, Yajun Gao, Bo Wang, Lin-bo Luo, Wenyu Liu
2011 A* conf
Unsupervised metric learning by Self-Smoothing Operator.
ICCV
Jiayan Jiang, Bo Wang, Zhuowen Tu
2010 — conf
Co-transduction for Shape Retrieval.
ECCV (3)
Xiang Bai, Bo Wang, Xinggang Wang, Wenyu Liu, Zhuowen Tu
2010 — conf
Object Recognition Using Junctions.
ECCV (5)
Bo Wang, Xiang Bai, Xinggang Wang, Wenyu Liu, Zhuowen Tu
2010 B conf
Shape Classification Using Tree -Unions.
ICPR
Bo Wang, Wei Shen, Wenyu Liu, Xinge You, Xiang Bai
2009 — conf
Skeleton Graph Matching Based on Critical Points Using Path Similarity.
ACCV (3)
Yao Xu, Bo Wang, Wenyu Liu, Xiang Bai