Book Chapters
Linear Algebra and Applications
Laurent El Ghaoui, Alicia Y. Tsai, and Giuseppe C. Calafiore. Pressbook, 2023Financial Data Science
Giuseppe C. Calafiore, Laurent El Ghaoui, Giulia Fracastoro, and Alicia Y. Tsai. Cambridge University Press & Assessment, 2024
Publications
PG-Story: Taxonomy, Dataset, and Evaluation in Ensuring Child-Safe Content for Story Generation
Alicia Y. Tsai, Shereen Oraby, Anjali Narayan-Chen, Alessandra Cervone, Nanyun Peng, Spandana Gella, Tagyoung Chung, and Jing Huang
Empirical Methods in Natural Language Processing (EMNLP) Workshop on NLP for Positive Impact, 2024
Outstanding Paper AwardConstrained Implicit Learning Framework for Neural Network Sparsification
Alicia Y. Tsai, Wenzhi Gao, and Laurent El Ghaoui
The Asian Conference on Machine Learning (ACML), 2024.
Oral PresentationLeveraging LLM Reasoning Enhances Personalized Recommender Systems
Alicia Y. Tsai, Adam Kraft, Long Jin, Chenwei Cai, Anahita Hosseini, Taibai Xu, Zemin Zhang, Lichan Hong, Ed H. Chi, Xinyang Yi
Findings of the Association for Computational Linguistics (ACL), 2024The Extrapolation Power of Implicit Models
Juliette Decugis, Max Franklin Emerling, Ashwin Ganesh, Alicia Y. Tsai, and Laurent El Ghaoui
International Joint Conference on Artificial Intelligence (IJCAI) Workshop on Explainable Artificial Intelligence (XAI), 2024
Oral PresentationOn the Abilities of Mathematical Extrapolation with Implicit Models
Juliette Decugis, Max Emerling, Ashwin Ganesh, Alicia Y. Tsai, Laurent El Ghaoui
Neural Information Processing Systems (NeurIPS) Workshop on Distribution Shifts: Connecting Methods and Applications, 2022Style Control for Schema-Guided Natural Language Generation
Alicia Y. Tsai, Shereen Oraby, Vittorio Perera, Jiun-Yu Kao, Yuheng Du, Anjali Narayan-Chen, Tagyoung Chung, Dilek Hakkani-Tur
Empirical Methods in Natural Language Processing (EMNLP) Workshop on Natural Language Processing for Conversational AI, 2021Implicit Deep Learning
Laurent El Ghaoui, Fangda Gu, Bertrand Travacca, Armin Askari, Alicia Y. Tsai
SIAM Journal on Mathematics of Data Science Vol. 3, No. 3, pp. 930-958. 2021Text Analytics for Resilience-Enabled Extreme Events Reconnaissance
Alicia Y. Tsai, Selim Günay, Minjune Hwang, Chenglong Li, Pengyuan Zhai, Laurent El Ghaoui, Khalid M. Mosalam
Neural Information Processing Systems (NeurIPS) Workshop on Artificial Intelligence for Humanitarian Assistance and Disaster Response, 2020Sparse Optimization for Unsupervised Extractive Summarization of Long Documents with the Frank-Wolfe Algorithm
Alicia Y. Tsai, Laurent El Ghaoui
Empirical Methods in Natural Language Processing (EMNLP) Workshop on Simple and Efficient Natural Language Processing, 2020Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization
Geoffrey Negiar, Gideon Dresdner, Alicia Yi-Ting Tsai, Laurent El Ghaoui, Francesco Locatello, Robert M. Freund, Fabian Pedregosa
International Conference on Machine Learning (ICML), 2020Building Resilience Through Structural Health Monitoring and Reconnaissance
Khalid M. Mosalam, Sifat Muin, Selim Günay, Alicia Y. Tsai, Minjune Hwang, Chenglong Li, Jiang Lian, and Laurent El Ghaoui
World Conference on Earthquake Engineering (WCEE), 2020Adversarial Attack on Sentiment Classification
Yi-Ting Tsai, Min-Chu Yang, Han-Yu Chen
Association for Computational Linguistics (ACL) Workshop on BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, 2019Multimodal Data Analytics for Nuclear Facility Monitoring
Bethany L. Goldblum, Christopher L. Stewart, Yi-Ting Alicia Tsai, Austin Wright
The Institute of Nuclear Materials Management (INMM) Annual Meeting, 2019A Cross-Domain Recommender System Based on Common-Sense Knowledge Bases
Yi-Ting Tsai, Chih-Shiang Wuy, Hsiang-Ling Hsuy, Tenniel Liuy, Pei-Lin Cheny, Wen-Hao Chen, Keng-Te Liao
Conference on Technologies and Applications of Artificial Intelligence (TAAI), 2017
Reports
StEER - 07 Jan. 2020 Puerto Rico Mw6.4 Earthquake: Preliminary Virtual Reconnaissance Report (PVRR)
Miranda, Eduardo; Acosta Vera, Andres; Aponte, Luis; Archbold, Jorge; Cortes, Maria; Du, Ao; Gunay, Selim; Hassan, Wael; Heresi, Pablo; Lamela, Ana; Messina, Armando; Miranda, Sebastian; Padgett, Jamie; Poulos, Alan; Scagliotti, Giulia; Tsai, Alicia; Kijewski-Correa, Tracy; Robertson, Ian; Mosalam, Khalid; Prevatt, David; Roueche, DavidStEER - 15 December 2019 Earthquake in the Philippines: Event Briefing
Gunay, Selim; Archbold, Jorge; Hu, Fan; Tsai, Alicia; Mosalam, Khalid; Kijewski-Correa, Tracy; Robertson, Ian; Prevatt, David; Roueche, DavidStEER - 26 November, 2019 Albania, Mw 6.4 Earthquake: Event Briefing
Tsai, Alicia; Hu, Fan; Gunay, Selim; Mosalam, Khalid; Kijewski-Correa, Tracy; Robertson, Ian; Prevatt, David; Roueche, David
Patents
MIMOSAS: Multimodal Input Model Output Security Analysis Suite
Zhao, Jared; Stewart, Christopher; Goldblum, Bethany; Tsai, Alicia; Chockkalingam, Shruthi; Valdez, Pedro
University of California, Berkeley, 2019
Presentations
Deep Implicit Time Series Modeling for Earthquake Phase Picking on Edge Devices
Seismological Society of America Annual Meeting, May 2024State-driven Implicit Modeling
Third Workshop on Seeking Low‑Dimensionality in Deep Neural Networks, Jan. 2023Implicit Deep Learning
VinAI Research Seminar, Dec. 2022Implicit Deep Learning
College of Engineering and Computer Science, VinUniversity, Nov. 2022Big Data Ethics and Responsible AI
Invited Lecture for The Last Humans and Earth: Identifying Crisis in Sustainability, Taipei Medical University, Apr. 2022Returning to Foster Care: Revisited with Computational Text Analysis
UC Berkeley D-Lab Computational Text Analysis Working Group, May 2021Sparse Optimization for Unsupervised Extractive Summarization of Long Documents with the Frank-Wolfe Algorithm
West Coast NLP (WeCNLP) Summit, Oct. 2020Robustness Analysis of Deep Learning via Implicit Models
Bay Area Machine Learning (BayLearn) Symposium, Oct. 2020Natural Language Processing and Text Analytics for Earthquake Reconnaissance
The Pacific Earthquake Engineering Research (PEER) Annual Meeting, Jan. 2020Adversarial Attack on Sentiment Classification
Widening Natural Language Processing (WiNLP) Workshop, ACL, Jul. 2019Diversity & Inclusion for Data Science in Taiwan
Bay Area and Taiwan Data Science Meetups, 2018