Beibin Li
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
16
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | AdvancedIF: Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction Following. | Yun He, Wenzhe Li, Hejia Zhang, Songlin Li, Karishma Mandyam, Sopan Khosla, Yuanhao Xiong, Nanshu Wang, Xiaoliang Peng, Beibin Li, Shengjie Bi, Shishir G. Patil, Qi Qi, Shengyu Feng, Julian Katz-Samuels, Richard Yuanzhe Pang, Sujan Kumar Gonugondla, Hunter Lang, Yue Yu, Yundi Qian, Maryam Fazel-Zarandi, Licheng Yu, Amine Benhalloum, Hany Hassan Awadalla, Manaal Faruqui |
| 2025 | ETRA | Genetic Associations of Blink Behavior in Infants and Toddlers: A Computer Vision Approach. | Yeji Bae, Beibin Li, Kelsey Jackson Dommer, Megan Reninger, Katie Hegerberg, Arya Ajwani, Terje Falck-Ytter, Frederick Shic |
| 2025 | ICCV | PathFinder: A Multi-Modal Multi-Agent System for Medical Diagnostic Decision-Making Applied to Histopathology. | Fatemeh Ghezloo, Mehmet Saygin Seyfioglu, Rustin Soraki, Wisdom Oluchi Ikezogwo, Beibin Li, Tejoram Vivekanandan, Joann G. Elmore, Ranjay Krishna, Linda G. Shapiro |
| 2025 | ICLR | Towards Foundation Models for Mixed Integer Linear Programming. | Sirui Li, Janardhan Kulkarni, Ishai Menache, Cathy Wu, Beibin Li |
| 2025 | ICML | Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems. | Shaokun Zhang, Ming Yin, Jieyu Zhang, Jiale Liu, Zhiguang Han, Jingyang Zhang, Beibin Li, Chi Wang, Huazheng Wang, Yiran Chen, Qingyun Wu |
| 2024 | ACL | Reflect-RL: Two-Player Online RL Fine-Tuning for LMs. | Runlong Zhou, Simon S. Du, Beibin Li |
| 2024 | HOTNETS | Towards Safer Heuristics With XPlain. | Pantea Karimi, Solal Pirelli, Siva Kesava Reddy Kakarla, Ryan Beckett, Santiago Segarra, Beibin Li, Pooria Namyar, Behnaz Arzani |
| 2023 | ETRA | Comparing Attention to Biological Motion in Autism across Age Groups Using Eye-Tracking. | Michal Hochhauser, Kelsey Jackson Dommer, Adham Atyabi, Beibin Li, Yeojin A. Ahn, Madeline Aubertine, Minah Kim, Sarah G. Corrigan, Kevin A. Pelphrey, Frederick Shic |
| 2023 | OSDI | Kerveros: Efficient and Scalable Cloud Admission Control. | Sultan Mahmud Sajal, Luke Marshall, Beibin Li, Shandan Zhou, Abhisek Pan, Konstantina Mellou, Deepak Narayanan, Timothy Zhu, David Dion, Thomas Moscibroda, Ishai Menache |
| 2023 | WACV | VSGD-Net: Virtual Staining Guided Melanocyte Detection on Histopathological Images. | Kechun Liu, Beibin Li, Wenjun Wu, Caitlin J. May, Oliver Chang, Stevan Knezevich, Lisa M. Reisch, Joann G. Elmore, Linda G. Shapiro |
| 2022 | ETRA | Calibration Error Prediction: Ensuring High-Quality Mobile Eye-Tracking. | Beibin Li, James C. Snider, Quan Wang, Sachin Mehta, Claire E. Foster, Erin Barney, Linda G. Shapiro, Pamela Ventola, Frederick Shic |
| 2022 | SIGMOD | Warper: Efficiently Adapting Learned Cardinality Estimators to Data and Workload Drifts. | Beibin Li, Yao Lu, Srikanth Kandula |
| 2021 | CVPR | Learning Melanocytic Proliferation Segmentation in Histopathology Images From Imperfect Annotations. | Kechun Liu, Mojgan Mokhtari, Beibin Li, Shima Nofallah, Caitlin J. May, Oliver Chang, Stevan Knezevich, Joann G. Elmore, Linda G. Shapiro |
| 2021 | ICMI | Learning Oculomotor Behaviors from Scanpath. | Beibin Li, Nicholas Nuechterlein, Erin Barney, Claire E. Foster, Minah Kim, Monique Mahony, Adham Atyabi, Li Feng, Quan Wang, Pamela Ventola, Linda G. Shapiro, Frederick Shic |
| 2020 | ETRA | Selection of Eye-Tracking Stimuli for Prediction by Sparsely Grouped Input Variables for Neural Networks: towards Biomarker Refinement for Autism. | Beibin Li, Erin Barney, Caitlin Hudac, Nicholas Nuechterlein, Pamela Ventola, Linda G. Shapiro, Frederick Shic |
| 2020 | ICPR | Classifying Breast Histopathology Images with a Ductal Instance-Oriented Pipeline. | Beibin Li, Ezgi Mercan, Sachin Mehta, Stevan Knezevich, Corey W. Arnold, Donald L. Weaver, Joann G. Elmore, Linda G. Shapiro |
| 2020 | ICPR | Leveraging Unlabeled Data for Glioma Molecular Subtype and Survival Prediction. | Nicholas Nuechterlein, Beibin Li, Mehmet Saygin Seyfioglu, Sachin Mehta, Patrick J. Cimino, Linda G. Shapiro |
| 2019 | ICIP | A Facial Affect Analysis System for Autism Spectrum Disorder. | Beibin Li, Sachin Mehta, Deepali Aneja, Claire E. Foster, Pamela Ventola, Frederick Shic, Linda G. Shapiro |
| 2018 | CHI | Social Influences on Executive Functioning in Autism: Design of a Mobile Gaming Platform. | Beibin Li, Adham Atyabi, Minah Kim, Erin Barney, Amy Yeo-jin Ahn, Yawen Luo, Madeline Aubertine, Sarah Corrigan, Tanya St. John, Quan Wang, Marilena Mademtzi, Mary Best, Frederick Shic |
| 2017 | IJCNN | An exploratory analysis targeting diagnostic classification of AAC app usage patterns. | Adham Atyabi, Beibin Li, Amy Yeo-jin Ahn, Minah Kim, Erin Barney, Frederick Shic |
| 2016 | ETRA | Modified DBSCAN algorithm on oculomotor fixation identification. | Beibin Li, Quan Wang, Erin Barney, Logan Hart, Carla A. Wall, Katarzyna Chawarska, Irati Saez de Urabain, Timothy J. Smith, Frederick Shic |
| 2016 | ETRA | Optimality of the distance dispersion fixation identification algorithm. | Beibin Li, Quan Wang, Laura Boccanfuso, Frederick Shic |
| 2016 | ETRA | Thermographic eye tracking. | Quan Wang, Laura Boccanfuso, Beibin Li, Amy Yeo-jin Ahn, Claire E. Foster, Margaret P. Orr, Brian Scassellati, Frederick Shic |
| 2016 | RO-MAN | A thermal emotion classifier for improved human-robot interaction. | Laura Boccanfuso, Quan Wang, Iolanda Leite, Beibin Li, Colette Torres, Lisa Chen, Nicole Salomons, Claire E. Foster, Erin Barney, Amy Yeo-jin Ahn, Brian Scassellati, Frederick Shic |