Parkinson's Disease Digital Biomarker Discovery with Optimized Transitions and Inferred Markov Emissions. - Avinash Bukkittu; Baihan Lin; Trung Vu; Itsik Pe'er (CoRR, 2017)

Contextual Bandit with Adaptive Feature Extraction. - Baihan Lin; Djallel Bouneffouf 001; Guillermo A. Cecchi; Irina Rish (ICDM Workshops, 2018)

Adaptive Representation Selection in Contextual Bandit with Unlabeled History. - Baihan Lin; Guillermo A. Cecchi; Djallel Bouneffouf 001; Irina Rish (CoRR, 2018)

Adaptive Independence Tests with Geo-Topological Transformation. - Baihan Lin; Nikolaus Kriegeskorte (CoRR, 2018)

Neural Networks as Model Selection with Incremental MDL Normalization. - Baihan Lin (HBAI@IJCAI, 2019)

Split Q Learning: Reinforcement Learning with Two-Stream Rewards. - Baihan Lin; Djallel Bouneffouf 001; Guillermo A. Cecchi (IJCAI, 2019)

Regularity Normalization: Constraining Implicit Space with Minimum Description Length. - Baihan Lin (CoRR, 2019)

Visualizing Representational Dynamics with Multidimensional Scaling Alignment. - Baihan Lin; Marieke Mur; Tim C. Kietzmann; Nikolaus Kriegeskorte (CoRR, 2019)

Reinforcement Learning Models of Human Behavior: Reward Processing in Mental Disorders. - Baihan Lin; Guillermo A. Cecchi; Djallel Bouneffouf 001; Jenna M. Reinen; Irina Rish (CoRR, 2019)

A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry. - Baihan Lin; Guillermo A. Cecchi; Djallel Bouneffouf 001; Jenna M. Reinen; Irina Rish (AAMAS, 2020)

Online Semi-supervised Learning in Contextual Bandits with Episodic Reward. - Baihan Lin (Australasian Conference on Artificial Intelligence, 2020)

Keep It Real: a Window to Real Reality in Virtual Reality. - Baihan Lin (IJCAI, 2020)

Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL. - Baihan Lin; Guillermo A. Cecchi; Djallel Bouneffouf 001; Jenna M. Reinen; Irina Rish (HBAI@IJCAI, 2020)

VoiceID on the Fly: A Speaker Recognition System that Learns from Scratch. - Baihan Lin; Xinxin Zhang (INTERSPEECH, 2020)

Unified Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL. - Baihan Lin; Guillermo A. Cecchi; Djallel Bouneffouf 001; Jenna M. Reinen; Irina Rish (CoRR, 2020)

Speaker Diarization as a Fully Online Learning Problem in MiniVox. - Baihan Lin; Xinxin Zhang (CoRR, 2020)

Predicting Human Decision Making in Psychological Tasks with Recurrent Neural Networks. - Baihan Lin; Djallel Bouneffouf 001; Guillermo A. Cecchi (CoRR, 2020)

Speaker Diarization as a Fully Online Bandit Learning Problem in MiniVox. - Baihan Lin; Xinxin Zhang (ACML, 2021)

Single-Cell Topological Simplicial Analysis Reveals Higher-Order Cellular Complexity. - Baihan Lin (BIBM, 2022)

Evolutionary Multi-Armed Bandits with Genetic Thompson Sampling. - Baihan Lin (CEC, 2022)

Knowledge Management System with NLP-Assisted Annotations: A Brief Survey and Outlook. - Baihan Lin (CIKM Workshops, 2022)

Optimal Epidemic Control as a Contextual Combinatorial Bandit with Budget. - Baihan Lin; Djallel Bouneffouf 001 (FUZZ-IEEE, 2022)

Predicting Human Decision Making with LSTM. - Baihan Lin; Djallel Bouneffouf 001; Guillermo A. Cecchi (IJCNN, 2022)

Voice2Alliance: Automatic Speaker Diarization and Quality Assurance of Conversational Alignment. - Baihan Lin (INTERSPEECH, 2022)

Online Learning in Iterated Prisoner's Dilemma to Mimic Human Behavior. - Baihan Lin; Djallel Bouneffouf 001; Guillermo A. Cecchi (PRICAI (3), 2022)

Geometric and Topological Inference for Deep Representations of Complex Networks. - Baihan Lin (WWW (Companion Volume), 2022)

Topological Data Analysis in Time Series: Temporal Filtration and Application to Single-Cell Genomics. - Baihan Lin (Algorithms, 2022)

Deep Annotation of Therapeutic Working Alliance in Psychotherapy. - Baihan Lin; Guillermo A. Cecchi; Djallel Bouneffouf 001 (CoRR, 2022)

Neural Topic Modeling of Psychotherapy Sessions. - Baihan Lin; Djallel Bouneffouf 001; Guillermo A. Cecchi; Ravi Tejwani (CoRR, 2022)

SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy Treatment Strategies with Deep Reinforcement Learning. - Baihan Lin (CoRR, 2022)

Computational Inference in Cognitive Science: Operational, Societal and Ethical Considerations. - Baihan Lin (CoRR, 2022)

Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers. - Baihan Lin (Entropy, 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)

Utterance Classification with Logical Neural Network: Explainable AI for Mental Disorder Diagnosis. - Yeldar Toleubay; Don Joven Agravante; Daiki Kimura; Baihan Lin; Djallel Bouneffouf 001; Michiaki Tatsubori (ClinicalNLP@ACL, 2023)

Signal Detection in OTFS System Based on Deep Learning. - Jurong Bai; Yuxin Mi; Baihan Lin (AIPR, 2023)

Question Answering System with Sparse and Noisy Feedback. - Djallel Bouneffouf 001; Oznur Alkan; Raphaël Féraud; Baihan Lin (ICASSP, 2023)

Improved PAPR Reduction Algorithm for OTFS Systems. - Jurong Bai; Baihan Lin; Xiaofang Tao (ICNC-FSKD, 2023)

SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy Treatment Strategies with Deep Reinforcement Learning. - Baihan Lin; Guillermo A. Cecchi; Djallel Bouneffouf 001 (IJCAI, 2023)

Helping Therapists with NLP-Annotated Recommendation 17-24. - Baihan Lin; Guillermo A. Cecchi; Djallel Bouneffouf 001 (IUI Workshops, 2023)

Psychotherapy AI Companion with Reinforcement Learning Recommendations and Interpretable Policy Dynamics. - Baihan Lin; Guillermo A. Cecchi; Djallel Bouneffouf 001 (WWW (Companion Volume), 2023)

A Survey on Compositional Generalization in Applications. - Baihan Lin; Djallel Bouneffouf 001; Irina Rish (CoRR, 2023)

TherapyView: Visualizing Therapy Sessions with Temporal Topic Modeling and AI-Generated Arts. - Baihan Lin; Stefan Zecevic; Djallel Bouneffouf 001; Guillermo A. Cecchi (CoRR, 2023)

A Reinforcement Learning Framework for Online Speaker Diarization. - Baihan Lin; Xinxin Zhang (CoRR, 2023)

Towards Healthy AI: Large Language Models Need Therapists Too. - Baihan Lin; Djallel Bouneffouf 001; Guillermo A. Cecchi; Kush R. Varshney (CoRR, 2023)

The Topology and Geometry of Neural Representations. - Baihan Lin; Nikolaus Kriegeskorte (CoRR, 2023)

Conversational Topic Recommendation in Counseling and Psychotherapy with Decision Transformer and Large Language Models. - Aylin Gunal; Baihan Lin; Djallel Bouneffouf 001 (ClinicalNLP@NAACL, 2024)

Working Alliance Transformer for Psychotherapy Dialogue Classification. - Baihan Lin; Guillermo A. Cecchi; Djallel Bouneffouf 001 (ClinicalNLP@NAACL, 2024)

COMPASS: Computational Mapping of Patient-Therapist Alliance Strategies with Language Modeling. - Baihan Lin; Djallel Bouneffouf 001; Yulia Landa; Rachel Jespersen; Cheryl Corcoran; Guillermo A. Cecchi (CoRR, 2024)

The Machine Can't Replace the Human Heart. - Baihan Lin (CoRR, 2024)

Topological Representational Similarity Analysis in Brains and Beyond. - Baihan Lin (CoRR, 2024)

The Gradient of Health Data Privacy. - Baihan Lin (CoRR, 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; et al. (J. Am. Medical Informatics Assoc., 2024)

Reinforcement learning and bandits for speech and language processing: Tutorial, review and outlook. - Baihan Lin (Expert Syst. Appl., 2024)

Multi-Armed Bandit with Sparse and Noisy Feedback. - Djallel Bouneffouf 001; Raphaël Féraud; Baihan Lin (ICASSP Workshops, 2025)

TherapyView: Visualizing Therapy Sessions with Temporal Topic Modeling and AI-Generated Arts (short paper). - Baihan Lin; Stefan Zecevic; Djallel Bouneffouf 001; Guillermo A. Cecchi (IUI Workshops, 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; et al. (Int. J. Medical Informatics, 2025)

Word Clouds as Common Voices: LLM-Assisted Visualization of Participant-Weighted Themes in Qualitative Interviews. - Joseph T. Colonel; Baihan Lin (CoRR, 2025)

Conversational DNA: A New Visual Language for Understanding Dialogue Structure in Human and AI. - Baihan Lin (CoRR, 2025)