On Testing Multi-threaded Java Programs. - Xufang Gong; Yanchen Wang; Ying Zhou; Bixin Li (SNPD (1), 2007)

Innovative mobile tool for engineering embedded design and security educations. - Kuosheng Ma; Yingnan Ma; Yanchen Wang; Kai Qian; Qichang Zheng; Liang Hong (FIE, 2015)

Blending Noisy Social Media Signals with Traditional Movement Variables to Predict Forced Migration. - Lisa Singh; Laila Wahedi; Yanchen Wang; Yifang Wei; Christo Kirov; Susan Martin; Katharine M. Donato; Yaguang Liu; Kornraphop Kawintiranon (KDD, 2019)

A first look at COVID-19 information and misinformation sharing on Twitter. - Lisa Singh; Shweta Bansal; Leticia Bode; Ceren Budak; Guangqing Chi; Kornraphop Kawintiranon; Colton Padden; Rebecca Vanarsdall; Emily K. Vraga; Yanchen Wang (CoRR, 2020)

Identifying Meaningful Indirect Indicators of Migration for Different Conflicts. - Lisa Singh; Katharine M. Donato; Ali Arab 002; Tomas Alvarez Belon; Abraham Fraifeld; Sean Fulmer; Douglas Post; Yanchen Wang (CoRR, 2020)

Social Media Data - Our Ethical Conundrum. - Lisa Singh; Agoritsa Polyzou; Yanchen Wang; Jason Farr; Carole Roan Gresenz (IEEE Data Eng. Bull., 2020)

A High-Precision, Low-Cost, Wireless, Multi-Channel Electrogastrography System. - Xiaoyi Guo; Zhongpeng Wang; Feng He 005; Hongzhi Qi; Long Chen 017; Chunyu Li; Yanchen Wang; Dong Ming (EMBC, 2021)

Analyzing the impact of missing values and selection bias on fairness. - Yanchen Wang; Lisa Singh (Int. J. Data Sci. Anal., 2021)

Map matching for travel route identification based on Earth Mover's Distance algorithm using wireless cell trajectory data. - Zhenxing Yao; Yanchen Wang; Fei Yang; Yang Cheng; Bin Ran (J. Intell. Transp. Syst., 2021)

Students or Mechanical Turk: Who Are the More Reliable Social Media Data Labelers? - Lisa Singh; Rebecca Vanarsdall; Yanchen Wang; Carole Roan Gresenz (DATA, 2022)

Mitigating demographic bias of machine learning models on social media. - Yanchen Wang; Lisa Singh (EAAMO, 2023)

Multi-Device Rate Maximization for IRS-Based Smart Home. - Yanchen Wang; Yejun He (IWCMC, 2023)

Recurrent Transformer Encoders for Vision-based Estimation of Fatigue and Engagement in Cognitive Training Sessions. - Yanchen Wang; Yunlong Xu 001; Feng Vankee Lin; Ehsan Adeli 001 (CoRR, 2023)

Adding guardrails to advanced chatbots. - Yanchen Wang; Lisa Singh (CoRR, 2023)

MMA: Multi-Modal Adapter for Vision-Language Models. - Lingxiao Yang; Ru-Yuan Zhang; Yanchen Wang; Xiaohua Xie (CVPR, 2024)

It is Time to Develop an Auditing Framework to Promote Value Aware Chatbots. - Yanchen Wang; Lisa Singh (DATA, 2024)

Towards a "Universal Translator" for Neural Dynamics at Single-Cell, Single-Spike Resolution. - Yizi Zhang; Yanchen Wang; Donato Jiménez-Benetó; Zixuan Wang; Mehdi Azabou; Blake A. Richards; Renee Tung; Olivier Winter; International Brain Laboratory; Eva L. Dyer; Liam Paninski; Cole L. Hurwitz (NeurIPS, 2024)

Vision-based estimation of fatigue and engagement in cognitive training sessions. - Yanchen Wang; Adam Turnbull; Yunlong Xu 001; Kathi L. Heffner; Feng Vankee Lin; Ehsan Adeli 001 (Artif. Intell. Medicine, 2024)

Towards a "universal translator" for neural dynamics at single-cell, single-spike resolution. - Yizi Zhang; Yanchen Wang; Donato Jiménez-Benetó; Zixuan Wang; Mehdi Azabou; Blake A. Richards; Olivier Winter; International Brain Laboratory; Eva L. Dyer; Liam Paninski; Cole L. Hurwitz (CoRR, 2024)

Decoding Visual Experience and Mapping Semantics through Whole-Brain Analysis Using fMRI Foundation Models. - Yanchen Wang; Adam Turnbull; Tiange Xiang; Yunlong Xu 001; Sa Zhou; Adnan Masoud; Shekoofeh Azizi; Feng Vankee Lin; Ehsan Adeli 001 (CoRR, 2024)

Using Under-Represented Subgroup Fine Tuning to Improve Fairness for Disease Prediction. - Yanchen Wang; Rex Bone; Will Fleisher; Carole Roan Gresenz; Jean Mitchell; Wilbert van der Klaauw; Crystal Wang; Lisa Singh (BIOSTEC (2): HEALTHINF, 2025)

Impact on bias mitigation algorithms to variations in inferred sensitive attribute uncertainty. - Yanchen Wang; Lisa Singh (Frontiers Artif. Intell., 2025)

Neural Encoding and Decoding at Scale. - Yizi Zhang; Yanchen Wang; Mehdi Azabou; Alexandre Andre; Zixuan Wang; Hanrui Lyu; International Brain Laboratory; Eva L. Dyer; Liam Paninski; Cole L. Hurwitz (CoRR, 2025)

Self-supervised pretraining of vision transformers for animal behavioral analysis and neural encoding. - Yanchen Wang; Han Yu; Ari Blau; Yizi Zhang; International Brain Laboratory; Liam Paninski; Cole L. Hurwitz; Matthew R. Whiteway (CoRR, 2025)