Baihan Lin

According to our database, Baihan Lin authored at least 54 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Towards a Multi-Stakeholder process for developing responsible AI governance in consumer health.

Leon Rozenblit, Amy Price, Anthony Solomonides, Amanda L. Joseph, Gyana Srivastava, Steven E. Labkoff, Dave debronkart, Reva Singh, Kiran Dattani, Monica Lopez-Gonzalez, Paul J. Barr, Eileen Koski, Baihan Lin, Erika Cheung, Mark G. Weiner, Tayler Williams, Tien Thi Thuy Bui, Yuri Quintana

Int. J. Medical Informatics, 2025

2024

Reinforcement learning and bandits for speech and language processing: Tutorial, review and outlook.

Baihan Lin

Expert Syst. Appl., March, 2024

Toward a responsible future: recommendations for AI-enabled clinical decision support.

Steven E. Labkoff, Bilikis Oladimeji, Joseph L. Kannry, Anthony Solomonides, Russell Leftwich, Eileen Koski, Amanda L. Joseph, Monica Lopez-Gonzalez, Lee A Fleisher, Kimberly Nolen, Sayon Dutta, Deborah R. Levy, Amy Price, Paul J. Barr, Jonathan D. Hron, Baihan Lin, Gyana Srivastava, Nuria Pastor, Unai Sanchez Luque, Tien Thi Thuy Bui, Reva Singh, Tayler Williams, Mark G. Weiner, Tristan Naumann, Dean F. Sittig, Gretchen Purcell Jackson, Yuri Quintana

J. Am. Medical Informatics Assoc., 2024

The Gradient of Health Data Privacy.

Baihan Lin

CoRR, 2024

Topological Representational Similarity Analysis in Brains and Beyond.

Baihan Lin

CoRR, 2024

The Machine Can't Replace the Human Heart.

Baihan Lin

CoRR, 2024

COMPASS: Computational Mapping of Patient-Therapist Alliance Strategies with Language Modeling.

Baihan Lin, Djallel Bouneffouf, Yulia Landa, Rachel Jespersen, Cheryl Corcoran, Guillermo A. Cecchi

CoRR, 2024

Working Alliance Transformer for Psychotherapy Dialogue Classification.

Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf

Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024

Conversational Topic Recommendation in Counseling and Psychotherapy with Decision Transformer and Large Language Models.

Aylin Gunal, Baihan Lin, Djallel Bouneffouf

Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024

2023

The Topology and Geometry of Neural Representations.

Baihan Lin, Nikolaus Kriegeskorte

CoRR, 2023

Towards Healthy AI: Large Language Models Need Therapists Too.

Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi, Kush R. Varshney

CoRR, 2023

A Reinforcement Learning Framework for Online Speaker Diarization.

Baihan Lin, Xinxin Zhang

CoRR, 2023

TherapyView: Visualizing Therapy Sessions with Temporal Topic Modeling and AI-Generated Arts.

Baihan Lin, Stefan Zecevic, Djallel Bouneffouf, Guillermo A. Cecchi

CoRR, 2023

A Survey on Compositional Generalization in Applications.

Baihan Lin, Djallel Bouneffouf, Irina Rish

CoRR, 2023

Psychotherapy AI Companion with Reinforcement Learning Recommendations and Interpretable Policy Dynamics.

Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Helping Therapists with NLP-Annotated Recommendation 17-24.

Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf

Proceedings of the Joint Proceedings of the IUI 2023 Workshops: HAI-GEN, 2023

SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy Treatment Strategies with Deep Reinforcement Learning.

Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Improved PAPR Reduction Algorithm for OTFS Systems.

Jurong Bai, Baihan Lin, Xiaofang Tao

Proceedings of the 19th International Conference on Natural Computation, 2023

Question Answering System with Sparse and Noisy Feedback.

Djallel Bouneffouf, Oznur Alkan, Raphaël Féraud, Baihan Lin

Proceedings of the IEEE International Conference on Acoustics, 2023

Signal Detection in OTFS System Based on Deep Learning.

Jurong Bai, Yuxin Mi, Baihan Lin

Proceedings of the 6th International Conference on Artificial Intelligence and Pattern Recognition, 2023

Utterance Classification with Logical Neural Network: Explainable AI for Mental Disorder Diagnosis.

Yeldar Toleubay, Don Joven Agravante, Daiki Kimura, Baihan Lin, Djallel Bouneffouf, Michiaki Tatsubori

Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

2022

Follow Your Nose: Extended Arm Reach After Pinocchio Illusion in Virtual Reality.

Christopher C. Berger, Baihan Lin, Bigna Lenggenhager, Jaron Lanier, Mar González-Franco

Frontiers Virtual Real., 2022

Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers.

Baihan Lin

Entropy, 2022

Computational Inference in Cognitive Science: Operational, Societal and Ethical Considerations.

Baihan Lin

CoRR, 2022

SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy Treatment Strategies with Deep Reinforcement Learning.

Baihan Lin

CoRR, 2022

Neural Topic Modeling of Psychotherapy Sessions.

Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi, Ravi Tejwani

CoRR, 2022

Deep Annotation of Therapeutic Working Alliance in Psychotherapy.

Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf

CoRR, 2022

Topological Data Analysis in Time Series: Temporal Filtration and Application to Single-Cell Genomics.

Baihan Lin

Algorithms, 2022

Geometric and Topological Inference for Deep Representations of Complex Networks.

Baihan Lin

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Online Learning in Iterated Prisoner's Dilemma to Mimic Human Behavior.

Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Voice2Alliance: Automatic Speaker Diarization and Quality Assurance of Conversational Alignment.

Baihan Lin

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Predicting Human Decision Making with LSTM.

Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi

Proceedings of the International Joint Conference on Neural Networks, 2022

Optimal Epidemic Control as a Contextual Combinatorial Bandit with Budget.

Baihan Lin, Djallel Bouneffouf

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

Knowledge Management System with NLP-Assisted Annotations: A Brief Survey and Outlook.

Baihan Lin

Proceedings of the CIKM 2022 Workshops co-located with 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), 2022

Evolutionary Multi-Armed Bandits with Genetic Thompson Sampling.

Baihan Lin

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Single-Cell Topological Simplicial Analysis Reveals Higher-Order Cellular Complexity.

Baihan Lin

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Speaker Diarization as a Fully Online Bandit Learning Problem in MiniVox.

Baihan Lin, Xinxin Zhang

Proceedings of the Asian Conference on Machine Learning, 2021

2020

Predicting Human Decision Making in Psychological Tasks with Recurrent Neural Networks.

Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi

CoRR, 2020

Speaker Diarization as a Fully Online Learning Problem in MiniVox.

Baihan Lin, Xinxin Zhang

CoRR, 2020

Unified Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL.

Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen, Irina Rish

CoRR, 2020

VoiceID on the Fly: A Speaker Recognition System that Learns from Scratch.

Baihan Lin, Xinxin Zhang

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL.

Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen, Irina Rish

Proceedings of the Human Brain and Artificial Intelligence - Second International Workshop, 2020

Keep It Real: a Window to Real Reality in Virtual Reality.

Baihan Lin

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Online Semi-supervised Learning in Contextual Bandits with Episodic Reward.

Baihan Lin

Proceedings of the AI 2020: Advances in Artificial Intelligence, 2020

A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry.

Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen, Irina Rish

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Reinforcement Learning Models of Human Behavior: Reward Processing in Mental Disorders.

Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen, Irina Rish

CoRR, 2019

Visualizing Representational Dynamics with Multidimensional Scaling Alignment.

Baihan Lin, Marieke Mur, Tim C. Kietzmann, Nikolaus Kriegeskorte

CoRR, 2019

Regularity Normalization: Constraining Implicit Space with Minimum Description Length.

Baihan Lin

CoRR, 2019

Split Q Learning: Reinforcement Learning with Two-Stream Rewards.

Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Neural Networks as Model Selection with Incremental MDL Normalization.

Baihan Lin

Proceedings of the Human Brain and Artificial Intelligence - First International Workshop, 2019

2018

Adaptive Independence Tests with Geo-Topological Transformation.

Baihan Lin, Nikolaus Kriegeskorte

CoRR, 2018

Adaptive Representation Selection in Contextual Bandit with Unlabeled History.

Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Irina Rish

CoRR, 2018

Contextual Bandit with Adaptive Feature Extraction.

Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi, Irina Rish

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017

Parkinson's Disease Digital Biomarker Discovery with Optimized Transitions and Inferred Markov Emissions.

Avinash Bukkittu, Baihan Lin, Trung Vu, Itsik Pe'er

CoRR, 2017