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ORCIDShannon Shen 0001
Zejiang Shen 0001 – Shannon Zejiang Shen
Person information
- affiliation: MIT, Cambridge, MA, USA
- affiliation (former): Allen Institute for AI, Seattle, USA
- affiliation (former): Nanjing Tech University, School of Computer Science and Technology, China
Other persons with the same name
- Shannon Shen 0002 — Honeywell, Colorado Springs, CO, USA
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2020 – today
- 2026
[c22]Ying-Hsiang Huang
, Claire Gong, Shreya Shaji, Alison R. Yan, Leslie Harka, Albert Du, Anjali Shubha Gopal, Samuel J. Klein, Shannon Zejiang Shen, Mark E. Phillips, Trevor Owens, Kyle Deeds, Benjamin Charles Germain Lee:
GovScape: A Public Multimodal Search System for 70 Million Pages of Government PDFs. ACL (3) 2026: 231-241- [c21]Shannon Zejiang Shen, Valerie Chen, Ken Gu, Alexis Ross, Zixian Ma, Jillian Ross, Alex Gu, Chenglei Si, Wayne Chi, Andi Peng, Jocelyn J. Shen, Ameet Talwalkar, Tongshuang Wu, David A. Sontag:
Scaling Collaborative Effort with Agents. ACL (Findings) 2026: 12254-12271 - [c20]Shangbin Feng, Wenxuan Ding, Alisa Liu, Zifeng Wang, Weijia Shi, Yike Wang, Shannon Zejiang Shen, Xiaochuang Han, Hunter Lang, Chen-Yu Lee, Tomas Pfister, Yejin Choi, Yulia Tsvetkov:
When One LLM Drools, Multi-LLM Collaboration Rules. ACL (1) 2026: 17048-17063 - [c19]Chenyu Wang, Paria Rashidinejad, DiJia Andy Su, Song Jiang, Sid Wang, Siyan Zhao, Cai Zhou, Shannon Shen, Feiyu Chen, Tommi S. Jaakkola, Yuandong Tian, Bo Liu:
SPG: Sandwiched Policy Gradient for Masked Diffusion Language Models. ICLR 2026 - [i30]Rulin Shao, Shannon Zejiang Shen, Junjie Oscar Yin, Yuetai Li, Minheng Wang, Hamish Ivison, Radha Poovendran, Nathan Lambert, Teng Xiao, Mike Lewis, Wen-tau Yih, Luke Zettlemoyer, Pang Wei Koh:
Context Language Models. CoRR abs/2609.37725 (2026) - 2025
- [c18]David Wadden, Kejian Shi, Jacob Morrison, Alan Li, Aakanksha Naik, Shruti Singh, Nitzan Barzilay, Kyle Lo, Tom Hope, Luca Soldaini, Shannon Zejiang Shen, Doug Downey, Hannaneh Hajishirzi, Arman Cohan:
SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature. EMNLP 2025: 6072-6109 - [c17]Sophia Simeng Han, Yoshiki Takashima, Shannon Zejiang Shen, Chen Liu, Yixin Liu, Roque K. Thuo, Sonia Knowlton, Ruzica Piskac, Scott J. Shapiro, Arman Cohan:
CourtReasoner: Can LLM Agents Reason Like Judges? EMNLP 2025: 35291-35306 - [c16]Yung-Sung Chuang, Benjamin Cohen-Wang, Zejiang Shen, Zhaofeng Wu, Hu Xu, Xi Victoria Lin, James R. Glass, Shang-Wen Li, Wen-tau Yih:
SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models. ICML 2025 - [c15]Lionel Wong, Ayman Ali, Raymond M. Xiong, Zejiang Shen, Yoon Kim, Monica Agrawal:
Position: Retrieval-augmented systems can be dangerous medical communicators. ICML (Position Papers) 2025 - [i29]Shangbin Feng, Wenxuan Ding, Alisa Liu, Zifeng Wang, Weijia Shi, Yike Wang, Zejiang Shen, Xiaochuang Han, Hunter Lang, Chen-Yu Lee, Tomas Pfister, Yejin Choi, Yulia Tsvetkov:
When One LLM Drools, Multi-LLM Collaboration Rules. CoRR abs/2502.04506 (2025) - [i28]Amin Adibi, Xu Cao, Zongliang Ji, Jivat Neet Kaur, Winston Chen, Elizabeth Healey, Brighton Nuwagira, Wenqian Ye, Geoffrey Woollard, Maxwell A. Xu, Hejie Cui, Johnny Xi, Trenton Chang, Vasiliki Bikia, Nicole Zhang, Ayush Noori, Yuan Xia, Md. Belal Hossain, Hanna A. Frank, Alina Peluso, Yuan Pu, Shannon Zejiang Shen, John Wu, Adibvafa Fallahpour, Sazan Mahbub, Ross Duncan, Yuwei Zhang, Yurui Cao, Zuheng Xu, Michael Craig, Rahul G. Krishnan, Rahmatollah Beheshti, James M. Rehg, Mohammad Ehsanul Karim, Megan Coffee, Leo Anthony Celi, Jason Alan Fries, Mohsen Sadatsafavi, Dennis L. Shung, Shannon K. McWeeney, Jessica Dafflon, Sarah Jabbour:
Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium. CoRR abs/2502.06693 (2025) - [i27]Yung-Sung Chuang, Benjamin Cohen-Wang, Shannon Zejiang Shen, Zhaofeng Wu, Hu Xu, Xi Victoria Lin, James R. Glass, Shang-wen Li, Wen-tau Yih:
SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models. CoRR abs/2502.09604 (2025) - [i26]Lionel Wong, Ayman Ali, Raymond M. Xiong, Shannon Zejiang Shen, Yoon Kim, Monica Agrawal:
Retrieval-augmented systems can be dangerous medical communicators. CoRR abs/2502.14898 (2025) - [i25]Chenyu Wang, Paria Rashidinejad, DiJia Su, Song Jiang, Sid Wang, Siyan Zhao, Cai Zhou, Shannon Zejiang Shen, Feiyu Chen, Tommi S. Jaakkola, Yuandong Tian, Bo Liu:
SPG: Sandwiched Policy Gradient for Masked Diffusion Language Models. CoRR abs/2510.09541 (2025) - [i24]Shannon Zejiang Shen, Valerie Chen, Ken Gu, Alexis Ross, Zixian Ma, Jillian Ross, Alex Gu, Chenglei Si, Wayne Chi, Andi Peng, Jocelyn J. Shen, Ameet Talwalkar, Tongshuang Wu, David A. Sontag:
Completion ≠ Collaboration: Scaling Collaborative Effort with Agents. CoRR abs/2510.25744 (2025) - [i23]Kyle Deeds, Ying-Hsiang Huang, Claire Gong, Shreya Shaji, Alison R. Yan, Leslie Harka, Samuel J. Klein, Shannon Zejiang Shen, Mark E. Phillips, Trevor Owens, Benjamin Charles Germain Lee:
GovScape: A Public Multimodal Search System for 70 Million Pages of Government PDFs. CoRR abs/2511.11010 (2025) - [i22]Rulin Shao, Akari Asai, Shannon Zejiang Shen, Hamish Ivison, Varsha Kishore, Jingming Zhuo, Xinran Zhao, Molly Park, Samuel G. Finlayson, David A. Sontag, Tyler Murray, Sewon Min, Pradeep Dasigi, Luca Soldaini, Faeze Brahman, Wen-tau Yih, Tongshuang Wu, Luke Zettlemoyer, Yoon Kim, Hannaneh Hajishirzi, Pang Wei Koh:
DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research. CoRR abs/2511.19399 (2025) - [i21]Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, David Graham, David Heineman, Dirk Groeneveld, Faeze Brahman, Finbarr Timbers, Hamish Ivison, Jacob Morrison, Jake Poznanski, Kyle Lo, Luca Soldaini, Matt Jordan, Mayee F. Chen, Michael Noukhovitch, Nathan Lambert, Pete Walsh, Pradeep Dasigi, Robert Berry, Saumya Malik, Saurabh Shah, Scott Geng, Shane Arora, Shashank Gupta, Taira Anderson, Teng Xiao, Tyler Murray, Tyler Romero, Victoria Graf, Akari Asai, Akshita Bhagia, Alexander Wettig, Alisa Liu, Aman Rangapur, Chloe Anastasiades, Costa Huang, Dustin Schwenk, Harsh Trivedi, Ian Magnusson, Jaron Lochner, Jiacheng Liu, Lester James V. Miranda, Maarten Sap, Malia Morgan, Michael Schmitz, Michal Guerquin, Michael Wilson, Regan Huff, Ronan Le Bras, Rui Xin, Rulin Shao, Sam Skjonsberg, Shannon Zejiang Shen, Shuyue Stella Li, Tucker Wilde, Valentina Pyatkin, William Merrill, Yapei Chang, Yuling Gu, Zhiyuan Zeng, Ashish Sabharwal, Luke Zettlemoyer, Pang Wei Koh, Ali Farhadi, Noah A. Smith, Hannaneh Hajishirzi:
Olmo 3. CoRR abs/2512.13961 (2025) - 2024
- [j3]Kyle Lo, Joseph Chee Chang, Andrew Head, Jonathan Bragg, Amy X. Zhang, Cassidy Trier, Chloe Anastasiades, Tal August, Russell Authur, Danielle Bragg, Erin Bransom, Isabel Cachola, Stefan Candra, Yoganand Chandrasekhar, Yen-Sung Chen, Evie Yu-Yen Cheng, Yvonne Chou, Doug Downey, Rob Evans, Raymond Fok, Fangzhou Hu, Regan Huff, Dongyeop Kang, Tae Soo Kim, Rodney Kinney, Aniket Kittur, Hyeonsu B. Kang, Egor Klevak, Bailey Kuehl, Michael Langan, Matt Latzke, Jaron Lochner, Kelsey MacMillan, Eric Marsh, Tyler Murray, Aakanksha Naik, Ngoc-Uyen Nguyen, Srishti Palani, Soya Park, Caroline Paulic, Napol Rachatasumrit, Smita Rao, Paul Sayre, Zejiang Shen, Pao Siangliulue, Luca Soldaini, Huy Tran, Madeleine van Zuylen, Lucy Lu Wang, Chris Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Marti A. Hearst, Daniel S. Weld:
The Semantic Reader Project. Commun. ACM 67(10): 50-61 (2024) - [j2]Sharon Jiang, Barbara D. Lam, Monica Agrawal, Shannon Shen, Nicholas Kurtzman, Steven Horng, David R. Karger, David A. Sontag:
Machine learning to predict notes for chart review in the oncology setting: a proof of concept strategy for improving clinician note-writing. J. Am. Medical Informatics Assoc. 31(7): 1578-1582 (2024) - [c14]Zejiang Shen, Hunter Lang, Bailin Wang, Yoon Kim, David A. Sontag:
Learning to Decode Collaboratively with Multiple Language Models. ACL (1) 2024: 12974-12990 - [c13]Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Raghavi Chandu, Jennifer Dumas, Yanai Elazar, Valentin Hofmann, Ananya Harsh Jha, Sachin Kumar, Li Lucy, Xinxi Lyu, Nathan Lambert, Ian Magnusson, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Abhilasha Ravichander, Kyle Richardson, Zejiang Shen, Emma Strubell, Nishant Subramani, Oyvind Tafjord, Pete Walsh, Luke Zettlemoyer, Noah A. Smith, Hannaneh Hajishirzi, Iz Beltagy, Dirk Groeneveld, Jesse Dodge, Kyle Lo:
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research. ACL (1) 2024: 15725-15788 - [c12]Mina Lee, Katy Ilonka Gero, John Joon Young Chung, Simon Buckingham Shum, Vipul Raheja, Hua Shen, Subhashini Venugopalan, Thiemo Wambsganss, David Zhou, Emad A. Alghamdi, Tal August, Avinash Bhat, Madiha Zahrah Choksi, Senjuti Dutta, Jin L. C. Guo, Md. Naimul Hoque, Yewon Kim, Simon Knight, Seyed Parsa Neshaei, Antonette Shibani, Disha Shrivastava, Lila Shroff, Agnia Sergeyuk, Jessi Stark, Sarah Sterman, Sitong Wang, Antoine Bosselut, Daniel Buschek, Joseph Chee Chang, Sherol Chen, Max Kreminski, Joonsuk Park, Roy Pea, Eugenia Ha Rim Rho, Zejiang Shen, Pao Siangliulue:
A Design Space for Intelligent and Interactive Writing Assistants. CHI 2024: 1054:1-1054:35 - [c11]Stefan Hegselmann, Shannon Shen, Florian Gierse, Monica Agrawal, David A. Sontag, Xiaoyi Jiang:
A Data-Centric Approach To Generate Faithful and High Quality Patient Summaries with Large Language Models. CHIL 2024: 339-379 - [c10]Tirthankar Ghosal, Amanpreet Singh, Anita de Waard, Philipp Mayr, Aakanksha Naik, Orion Weller, Yoonjoo Lee, Shannon Shen, Yanxia Qin:
Overview of the Fourth Workshop on Scholarly Document Processing. SDP@ACL 2024: 1-6 - [e1]Tirthankar Ghosal, Amanpreet Singh, Anita de Waard, Philipp Mayr, Aakanksha Naik, Orion Weller, Yoonjoo Lee, Shannon Shen, Yanxia Qin:
Proceedings of the Fourth Workshop on Scholarly Document Processing, SDP@ACL 2024, Bangkok, Thailand, August 16, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-151-3 [contents] - [i20]Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Raghavi Chandu, Jennifer Dumas, Yanai Elazar, Valentin Hofmann, Ananya Harsh Jha, Sachin Kumar, Li Lucy, Xinxi Lyu, Nathan Lambert, Ian Magnusson, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Abhilasha Ravichander, Kyle Richardson, Zejiang Shen, Emma Strubell, Nishant Subramani, Oyvind Tafjord, Pete Walsh, Luke Zettlemoyer, Noah A. Smith, Hannaneh Hajishirzi, Iz Beltagy, Dirk Groeneveld, Jesse Dodge, Kyle Lo:
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research. CoRR abs/2402.00159 (2024) - [i19]Stefan Hegselmann, Shannon Zejiang Shen, Florian Gierse, Monica Agrawal, David A. Sontag, Xiaoyi Jiang:
A Data-Centric Approach To Generate Faithful and High Quality Patient Summaries with Large Language Models. CoRR abs/2402.15422 (2024) - [i18]Shannon Zejiang Shen, Hunter Lang, Bailin Wang, Yoon Kim, David A. Sontag:
Learning to Decode Collaboratively with Multiple Language Models. CoRR abs/2403.03870 (2024) - [i17]Mina Lee, Katy Ilonka Gero, John Joon Young Chung, Simon Buckingham Shum, Vipul Raheja, Hua Shen, Subhashini Venugopalan, Thiemo Wambsganss, David Zhou, Emad A. Alghamdi, Tal August, Avinash Bhat, Madiha Zahrah Choksi, Senjuti Dutta, Jin L. C. Guo, Md. Naimul Hoque, Yewon Kim, Simon Knight, Seyed Parsa Neshaei, Agnia Sergeyuk, Antonette Shibani, Disha Shrivastava, Lila Shroff, Jessi Stark, Sarah Sterman, Sitong Wang, Antoine Bosselut, Daniel Buschek, Joseph Chee Chang, Sherol Chen, Max Kreminski, Joonsuk Park, Roy Pea, Eugenia Ha Rim Rho, Shannon Zejiang Shen, Pao Siangliulue:
A Design Space for Intelligent and Interactive Writing Assistants. CoRR abs/2403.14117 (2024) - [i16]David Wadden, Kejian Shi, Jacob Morrison, Aakanksha Naik, Shruti Singh, Nitzan Barzilay, Kyle Lo, Tom Hope, Luca Soldaini, Shannon Zejiang Shen, Doug Downey, Hannaneh Hajishirzi, Arman Cohan:
SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature. CoRR abs/2406.07835 (2024) - 2023
- [c9]Catherine Chen, Zejiang Shen, Dan Klein, Gabriel Stanovsky, Doug Downey, Kyle Lo:
Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents. ACL (Findings) 2023: 13345-13360 - [c8]Kyle Lo, Zejiang Shen, Benjamin Newman, Joseph Chee Chang, Russell Authur, Erin Bransom, Stefan Candra, Yoganand Chandrasekhar, Regan Huff, Bailey Kuehl, Amanpreet Singh, Chris Wilhelm, Angele Zamarron, Marti A. Hearst, Daniel S. Weld, Doug Downey, Luca Soldaini:
PaperMage: A Unified Toolkit for Processing, Representing, and Manipulating Visually-Rich Scientific Documents. EMNLP (Demos) 2023: 495-507 - [c7]Sharon Jiang, Shannon Shen, Monica Agrawal, Barbara D. Lam, Nicholas Kurtzman, Steven Horng, David R. Karger, David A. Sontag:
Conceptualizing Machine Learning for Dynamic Information Retrieval of Electronic Health Record Notes. MLHC 2023: 343-359 - [c6]Melissa Dell, Jacob Carlson, Tom Bryan, Emily Silcock, Abhishek Arora, Zejiang Shen, Luca D'Amico-Wong, Quan Le, Pablo Querubin, Leander Heldring:
American Stories: A Large-Scale Structured Text Dataset of Historical U.S. Newspapers. NeurIPS 2023 - [i15]Rodney Kinney, Chloe Anastasiades, Russell Authur, Iz Beltagy, Jonathan Bragg, Alexandra Buraczynski, Isabel Cachola, Stefan Candra, Yoganand Chandrasekhar, Arman Cohan, Miles Crawford, Doug Downey, Jason Dunkelberger, Oren Etzioni, Rob Evans, Sergey Feldman, Joseph Gorney, David Graham, Fangzhou Hu, Regan Huff, Daniel King, Sebastian Kohlmeier, Bailey Kuehl, Michael Langan, Daniel Lin, Haokun Liu, Kyle Lo, Jaron Lochner, Kelsey MacMillan, Tyler Murray, Chris Newell, Smita Rao, Shaurya Rohatgi, Paul Sayre, Zejiang Shen, Amanpreet Singh, Luca Soldaini, Shivashankar Subramanian, Amber Tanaka, Alex D. Wade, Linda Wagner, Lucy Lu Wang, Chris Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Madeleine van Zuylen, Daniel S. Weld:
The Semantic Scholar Open Data Platform. CoRR abs/2301.10140 (2023) - [i14]Kyle Lo, Joseph Chee Chang, Andrew Head, Jonathan Bragg, Amy X. Zhang, Cassidy Trier, Chloe Anastasiades, Tal August, Russell Authur, Danielle Bragg, Erin Bransom, Isabel Cachola, Stefan Candra, Yoganand Chandrasekhar, Yen-Sung Chen, Evie Yu-Yen Cheng, Yvonne Chou, Doug Downey, Rob Evans, Raymond Fok, Fangzhou Hu, Regan Huff, Dongyeop Kang, Tae Soo Kim, Rodney Kinney, Aniket Kittur, Hyeonsu B. Kang, Egor Klevak, Bailey Kuehl, Michael Langan, Matt Latzke, Jaron Lochner, Kelsey MacMillan, Eric Marsh, Tyler Murray, Aakanksha Naik, Ngoc-Uyen Nguyen, Srishti Palani, Soya Park, Caroline Paulic, Napol Rachatasumrit, Smita Rao, Paul Sayre, Zejiang Shen, Pao Siangliulue, Luca Soldaini, Huy Tran, Madeleine van Zuylen, Lucy Lu Wang, Chris Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Marti A. Hearst, Daniel S. Weld:
The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces. CoRR abs/2303.14334 (2023) - [i13]Zejiang Shen, Tal August, Pao Siangliulue, Kyle Lo, Jonathan Bragg, Jeff Hammerbacher, Doug Downey, Joseph Chee Chang, David A. Sontag:
Beyond Summarization: Designing AI Support for Real-World Expository Writing Tasks. CoRR abs/2304.02623 (2023) - [i12]Catherine Chen, Zejiang Shen, Dan Klein, Gabriel Stanovsky, Doug Downey, Kyle Lo:
Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents. CoRR abs/2306.01058 (2023) - [i11]Sharon Jiang, Shannon Shen, Monica Agrawal, Barbara D. Lam, Nicholas Kurtzman, Steven Horng, David R. Karger, David A. Sontag:
Conceptualizing Machine Learning for Dynamic Information Retrieval of Electronic Health Record Notes. CoRR abs/2308.08494 (2023) - [i10]Melissa Dell, Jacob Carlson, Tom Bryan, Emily Silcock, Abhishek Arora, Zejiang Shen, Luca D'Amico-Wong, Quan Le, Pablo Querubin, Leander Heldring:
American Stories: A Large-Scale Structured Text Dataset of Historical U.S. Newspapers. CoRR abs/2308.12477 (2023) - [i9]Lucas Torroba Hennigen, Shannon Shen, Aniruddha Nrusimha, Bernhard Gapp, David A. Sontag, Yoon Kim:
Towards Verifiable Text Generation with Symbolic References. CoRR abs/2311.09188 (2023) - 2022
- [j1]Zejiang Shen, Kyle Lo, Lucy Lu Wang, Bailey Kuehl, Daniel S. Weld, Doug Downey:
VILA: Improving Structured Content Extraction from Scientific PDFs Using Visual Layout Groups. Trans. Assoc. Comput. Linguistics 10: 376-392 (2022) - [c5]Zejiang Shen, Kyle Lo, Lauren Yu, Nathan Dahlberg, Margo Schlanger, Doug Downey:
Multi-LexSum: Real-world Summaries of Civil Rights Lawsuits at Multiple Granularities. NeurIPS 2022 - [i8]Daniel King, Zejiang Shen, Nishant Subramani, Daniel S. Weld, Iz Beltagy, Doug Downey:
Don't Say What You Don't Know: Improving the Consistency of Abstractive Summarization by Constraining Beam Search. CoRR abs/2203.08436 (2022) - [i7]Zejiang Shen, Kyle Lo, Lauren Yu, Nathan Dahlberg, Margo Schlanger, Doug Downey:
Multi-LexSum: Real-World Summaries of Civil Rights Lawsuits at Multiple Granularities. CoRR abs/2206.10883 (2022) - 2021
- [c4]Mark Neumann, Zejiang Shen, Sam Skjonsberg:
PAWLS: PDF Annotation With Labels and Structure. ACL (demo) 2021: 258-264 - [c3]Zejiang Shen, Ruochen Zhang, Melissa Dell, Benjamin Charles Germain Lee, Jacob Carlson, Weining Li:
LayoutParser: A Unified Toolkit for Deep Learning Based Document Image Analysis. ICDAR (1) 2021: 131-146 - [i6]Mark Neumann, Zejiang Shen, Sam Skjonsberg:
PAWLS: PDF Annotation With Labels and Structure. CoRR abs/2101.10281 (2021) - [i5]Zejiang Shen, Ruochen Zhang, Melissa Dell, Benjamin Charles Germain Lee, Jacob Carlson, Weining Li:
LayoutParser: A Unified Toolkit for Deep Learning Based Document Image Analysis. CoRR abs/2103.15348 (2021) - [i4]Zejiang Shen, Kyle Lo, Lucy Lu Wang, Bailey Kuehl, Daniel S. Weld, Doug Downey:
Incorporating Visual Layout Structures for Scientific Text Classification. CoRR abs/2106.00676 (2021) - 2020
- [c2]Zejiang Shen, Kaixuan Zhang, Melissa Dell:
A Large Dataset of Historical Japanese Documents with Complex Layouts. CVPR Workshops 2020: 2336-2343 - [i3]Youssef Alami Mejjati, Zejiang Shen, Michael Snower, Aaron Gokaslan, Oliver Wang, James Tompkin, Kwang In Kim:
Generating Object Stamps. CoRR abs/2001.02595 (2020) - [i2]Zejiang Shen, Kaixuan Zhang, Melissa Dell:
A Large Dataset of Historical Japanese Documents with Complex Layouts. CoRR abs/2004.08686 (2020) - [i1]Zejiang Shen, Jian Zhao, Melissa Dell, Yaoliang Yu, Weining Li:
OLALA: Object-Level Active Learning Based Layout Annotation. CoRR abs/2010.01762 (2020)
2010 – 2019
- 2019
- [c1]Zejiang Shen, Xili Wan, Feng Ye, Xinjie Guan, Shuwen Liu:
Deep Learning based Framework for Automatic Damage Detection in Aircraft Engine Borescope Inspection. ICNC 2019: 1005-1010
Coauthor Index
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