Discovery of Non-induced Patterns from Sequences. - Andrew K. C. Wong; Dennis Zhuang; Gary C. L. Li; En-Shiun Annie Lee (PRIB, 2010)

Synthesizing Aligned Random Pattern Digraphs from protein sequence patterns. - En-Shiun Annie Lee; Andrew K. C. Wong (BIBM Workshops, 2011)

Identifying protein binding functionality of protein family sequences by Aligned Pattern clusters. - En-Shiun Annie Lee; Andrew K. C. Wong (BIBM, 2012)

Aligning Discovered Patterns from Protein Family Sequences. - En-Shiun Annie Lee; Dennis Zhuang; Andrew K. C. Wong (PRIB, 2012)

Discovery of Delta Closed Patterns and Noninduced Patterns from Sequences. - Andrew K. C. Wong; Dennis Zhuang; Gary C. L. Li; En-Shiun Annie Lee (IEEE Trans. Knowl. Data Eng., 2012)

Revealing Protein Structures by Co-Occurrence Clustering of Aligned Pattern Clusters. - Sanderz Fung; En-Shiun Annie Lee; Andrew K. C. Wong (BCB, 2013)

Classifying Proteins by Amino Acid Variations of Sequence Patterns. - En-Shiun Annie Lee (BCB, 2013)

Classifying Proteins by Amino Acid Variations of Sequential Patterns. - En-Shiun Annie Lee; Andrew K. C. Wong (BCB, 2013)

Characterizing Amino Acid Variations of Scavenger Receptors by Class Information Gain. - En-Shiun Annie Lee; Fiona J. Whelan; Dawn M. E. Bowdish; Andrew K. C. Wong (BCB, 2013)

Confirming biological significance of co-occurrence clusters of aligned pattern clusters. - En-Shiun Annie Lee; Sanderz Fung; Ho-Yin Sze-To; Andrew K. C. Wong (BIBM, 2013)

Regrouping of pattern clusters to reveal characteristics of distinct classes and related classes. - Pei-Yuan Zhou; En-Shiun Annie Lee; Andrew K. C. Wong (BIBM, 2013)

Discovering co-occurring patterns and their biological significance in protein families. - En-Shiun Annie Lee; Sanderz Fung; Ho-Yin Sze-To; Andrew K. C. Wong (BMC Bioinform., 2014)

Aligning and Clustering Patterns to Reveal the Protein Functionality of Sequences. - Andrew K. C. Wong; En-Shiun Annie Lee (IEEE ACM Trans. Comput. Biol. Bioinform., 2014)

Predicting Protein-protein interaction using co-occurring Aligned Pattern Clusters. - Antonio Sze-To; Sanderz Fung; En-Shiun Annie Lee; Andrew K. C. Wong (BIBM, 2015)

Partitioning and correlating subgroup characteristics from Aligned Pattern Clusters. - En-Shiun Annie Lee; Fiona J. Whelan; Dawn M. E. Bowdish; Andrew K. C. Wong (Bioinform., 2016)

Discovering Protein-DNA Binding Cores by Aligned Pattern Clustering. - En-Shiun Annie Lee; Ho-Yin Antonio Sze-To; Man Hon Wong 001; Kwong-Sak Leung; Terrence Chi-Kong Lau; Andrew K. C. Wong (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

Unsupervised Transfer Learning via BERT Neuron Selection. - Mehrdad Valipour; En-Shiun Annie Lee; Jaime R. Jamacaro; Carolina Bessega (CoRR, 2019)

Pillars of Program Design and Delivery: A Case Study using Self-Directed, Problem-Based, and Supportive Learning. - En-Shiun Annie Lee; Karthik Kuber; Hashmat Rohian; Sean Woodhead (SIGCSE, 2021)

Pre-Trained Multilingual Sequence-to-Sequence Models: A Hope for Low-Resource Language Translation? - En-Shiun Annie Lee; Sarubi Thillainathan; Shravan Nayak; Surangika Ranathunga; David Ifeoluwa Adelani; Ruisi Su; Arya McCarthy (ACL (Findings), 2022)

Interpretable Disease Prediction from Clinical Text by Leveraging Pattern Disentanglement. - Malikeh Ehghaghi; Pei-Yuan Zhou; Wendy Yusi Cheng; Sahar Rajabi; Chih-Hao Kuo; En-Shiun Annie Lee (BHI, 2023)

Leveraging Auxiliary Domain Parallel Data in Intermediate Task Fine-tuning for Low-resource Translation. - Shravan Nayak; Surangika Ranathunga; Sarubi Thillainathan; Rikki Hung; Anthony Rinaldi; Yining Wang; Jonah Mackey; Andrew Ho; En-Shiun Annie Lee (CoRR, 2023)

Neural Machine Translation for Low-resource Languages: A Survey. - Surangika Ranathunga; En-Shiun Annie Lee; Marjana Prifti Skenduli; Ravi Shekhar; Mehreen Alam; Rishemjit Kaur (ACM Comput. Surv., 2023)

Enhancing Taiwanese Hokkien Dual Translation by Exploring and Standardizing of Four Writing Systems. - Bo-Han Lu; Yi-Hsuan Lin; En-Shiun Annie Lee; Richard Tzong-Han Tsai (LREC/COLING, 2024)

SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and Dialects. - David Ifeoluwa Adelani; Hannah Liu; Xiaoyu Shen 001; Nikita Vassilyev; Jesujoba O. Alabi; Yanke Mao; Haonan Gao; En-Shiun Annie Lee (EACL (1), 2024)

Predicting Machine Translation Performance on Low-Resource Languages: The Role of Domain Similarity. - Eric Khiu; Hasti Toossi; Jinyu Liu; Jiaxu Li; David Anugraha; Juan Armando Parra Flores; Leandro Acros Roman; A. Seza Dogruöz; En-Shiun Annie Lee (EACL (Findings), 2024)

Unlocking Parameter-Efficient Fine-Tuning for Low-Resource Language Translation. - Tong Su; Xin Peng; Sarubi Thillainathan; David Guzmán; Surangika Ranathunga; En-Shiun Annie Lee (NAACL-HLT (Findings), 2024)

Exploring Student Motivation in Integration of Soft Skills Training within Three Levels of Computer Science Programs. - En-Shiun Annie Lee; Luki Danukarjanto; Sadia Sharmin; Shou-Yi Hung; Sicong Huang 001; Tong Su (SIGCSE (1), 2024)

A Faculty Initiative Addressing Gender Disparity at a Small STEM-Focused University: A Case Study. - Amane Takeuchi; Aditya Armaan Khan; Phuong H. Hoang; Jian Yun Zhuang; Mariana Shimabukuro; Randy J. Fortier; Michael Miljanovic; En-Shiun Annie Lee (SIGCSE Virtual (1), 2024)

Enhancing Hokkien Dual Translation by Exploring and Standardizing of Four Writing Systems. - Bo-Han Lu; Yi-Hsuan Lin; En-Shiun Annie Lee; Richard Tzong-Han Tsai (CoRR, 2024)

A Reproducibility Study on Quantifying Language Similarity: The Impact of Missing Values in the URIEL Knowledge Base. - Hasti Toossi; Guo Qing Huai; Jinyu Liu; Eric Khiu; A. Seza Dogruöz; En-Shiun Annie Lee (CoRR, 2024)

IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models. - David Ifeoluwa Adelani; Jessica Ojo; Israel Abebe Azime; Jian Yun Zhuang; Jesujoba O. Alabi; Xuanli He; Millicent Ochieng; Sara Hooker; Andiswa Bukula; En-Shiun Annie Lee; Chiamaka Chukwuneke; Happy Buzaaba; et al. (CoRR, 2024)

WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines. - Genta Indra Winata; Frederikus Hudi; Patrick Amadeus Irawan; David Anugraha; Rifki Afina Putri; Yutong Wang; Adam Nohejl; Ubaidillah Ariq Prathama; Nedjma Ousidhoum; Afifa Amriani; Anar Rzayev; Anirban Das; et al. (CoRR, 2024)

Exploiting Domain-Specific Parallel Data on Multilingual Language Models for Low-resource Language Translation. - Surangika Ranathunga; Shravan Nayak; Shih-Ting Cindy Huang; Yanke Mao; Tong Su; Yun-Hsiang Ray Chan; Songchen Yuan; Anthony Rinaldi; En-Shiun Annie Lee (CoRR, 2024)

INJONGO: A Multicultural Intent Detection and Slot-filling Dataset for 16 African Languages. - Hao Yu; Jesujoba Oluwadara Alabi; Andiswa Bukula; Jian Yun Zhuang; En-Shiun Annie Lee; Tadesse Kebede Guge; Israel Abebe Azime; Happy Buzaaba; Blessing Kudzaishe Sibanda; Godson Koffi Kalipe; Jonathan Mukiibi; Salomon Kabongo Kabenamualu; et al. (ACL (1), 2025)

URIEL+: Enhancing Linguistic Inclusion and Usability in a Typological and Multilingual Knowledge Base. - Aditya Armaan Khan; Mason Stephen Shipton; David Anugraha; Kaiyao Duan; Phuong H. Hoang; Eric Khiu; A. Seza Dogruöz; En-Shiun Annie Lee (COLING, 2025)

IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models. - David Ifeoluwa Adelani; Jessica Ojo; Israel Abebe Azime; Jian Yun Zhuang; Jesujoba Oluwadara Alabi; Xuanli He; Millicent Ochieng; Sara Hooker; Andiswa Bukula; En-Shiun Annie Lee; Chiamaka Ijeoma Chukwuneke; Happy Buzaaba; et al. (NAACL (Long Papers), 2025)

ProxyLM: Predicting Language Model Performance on Multilingual Tasks via Proxy Models. - David Anugraha; Genta Indra Winata; Chenyue Li; Patrick Amadeus Irawan; En-Shiun Annie Lee (NAACL (Findings), 2025)

AlignFreeze: Navigating the Impact of Realignment on the Layers of Multilingual Models Across Diverse Languages. - Steve Bakos; David Guzmán; Riddhi More; Kelly Chutong Li; Félix Gaschi; En-Shiun Annie Lee (NAACL (Short Papers), 2025)

WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines. - Genta Indra Winata; Frederikus Hudi; Patrick Amadeus Irawan; David Anugraha; Rifki Afina Putri; Yutong Wang; Adam Nohejl; Ubaidillah Ariq Prathama; Nedjma Ousidhoum; Afifa Amriani; Anar Rzayev; Anirban Das; et al. (NAACL (Long Papers), 2025)

Creating a Joint-Faculty Artificial Intelligence Concentration within a Graduate Program. - En-Shiun Annie Lee; Arvind Gupta; Amane Takeuchi; Stacey A. Koornneef (SIGCSE (2), 2025)

Crafting for Career Agility: An Outcome-Based Redesign of a Machine Learning Curriculum within a Program Bundle. - En-Shiun Annie Lee; Sean Woodhead; Karthik Kuber; Hashmat Rohian; Stacey A. Koornneef (SIGCSE (2), 2025)

INJONGO: A Multicultural Intent Detection and Slot-filling Dataset for 16 African Languages. - Hao Yu; Jesujoba O. Alabi; Andiswa Bukula; Jian Yun Zhuang; En-Shiun Annie Lee; Tadesse Kebede Guge; Israel Abebe Azime; Happy Buzaaba; Blessing K. Sibanda; Godson Koffi Kalipe; Jonathan Mukiibi; Salomon Kabongo Kabenamualu; et al. (CoRR, 2025)

Beyond Vanilla Fine-Tuning: Leveraging Multistage, Multilingual, and Domain-Specific Methods for Low-Resource Machine Translation. - Sarubi Thillainathan; Songchen Yuan; En-Shiun Annie Lee; Sanath Jayasena; Surangika Ranathunga (CoRR, 2025)

Datasheets Aren't Enough: DataRubrics for Automated Quality Metrics and Accountability. - Genta Indra Winata; David Anugraha; Emmy Liu; Alham Fikri Aji; Shou-Yi Hung; Aditya Parashar; Patrick Amadeus Irawan; Ruochen Zhang; Zheng-Xin Yong; Jan Christian Blaise Cruz; Niklas Muennighoff; Seungone Kim; et al. (CoRR, 2025)

TranslationCorrect: A Unified Framework for Machine Translation Post-Editing with Predictive Error Assistance. - Syed Mekael Wasti; Shou-Yi Hung; Christopher Collins; En-Shiun Annie Lee (CoRR, 2025)