Baihan Lin

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 62

Top Topics

Speaker Diarization

Contextual Bandit

Reinforcement Learning

Top Venues

Publications

Baihan Lin
The Machine Can't Replace the Human Heart. CoRR (2024)
Baihan Lin, Djallel Bouneffouf, Yulia Landa, Rachel Jespersen, Cheryl Corcoran, Guillermo A. Cecchi
COMPASS: Computational Mapping of Patient-Therapist Alliance Strategies with Language Modeling. CoRR (2024)
Aylin Gunal, Baihan Lin, Djallel Bouneffouf
Conversational Topic Recommendation in Counseling and Psychotherapy with Decision Transformer and Large Language Models. CoRR (2024)
Baihan Lin
Reinforcement learning and bandits for speech and language processing: Tutorial, review and outlook. Expert Syst. Appl. 238 (Part E) (2024)
Baihan Lin, Nikolaus Kriegeskorte
The Topology and Geometry of Neural Representations. CoRR (2023)
Yeldar Toleubay, Don Joven Agravante, Daiki Kimura, Baihan Lin, Djallel Bouneffouf, Michiaki Tatsubori
Utterance Classification with Logical Neural Network: Explainable AI for Mental Disorder Diagnosis. CoRR (2023)
Jurong Bai, Yuxin Mi, Baihan Lin
Signal Detection in OTFS System Based on Deep Learning. AIPR (2023)
Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf
Psychotherapy AI Companion with Reinforcement Learning Recommendations and Interpretable Policy Dynamics. CoRR (2023)
Baihan Lin, Xinxin Zhang
A Reinforcement Learning Framework for Online Speaker Diarization. CoRR (2023)
Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi, Kush R. Varshney
Towards Healthy AI: Large Language Models Need Therapists Too. CoRR (2023)
Baihan Lin, Stefan Zecevic, Djallel Bouneffouf, Guillermo A. Cecchi
TherapyView: Visualizing Therapy Sessions with Temporal Topic Modeling and AI-Generated Arts. CoRR (2023)
Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf
Psychotherapy AI Companion with Reinforcement Learning Recommendations and Interpretable Policy Dynamics. WWW (Companion Volume) (2023)
Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf
Helping Therapists with NLP-Annotated Recommendation 17-24. IUI Workshops (2023)
Djallel Bouneffouf, Oznur Alkan, Raphaël Féraud, Baihan Lin
Question Answering System with Sparse and Noisy Feedback. ICASSP (2023)
Baihan Lin, Djallel Bouneffouf, Irina Rish
A Survey on Compositional Generalization in Applications. CoRR (2023)
Jurong Bai, Baihan Lin, Xiaofang Tao
Improved PAPR Reduction Algorithm for OTFS Systems. ICNC-FSKD (2023)
Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf
SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy Treatment Strategies with Deep Reinforcement Learning. IJCAI (2023)
Yeldar Toleubay, Don Joven Agravante, Daiki Kimura, Baihan Lin, Djallel Bouneffouf, Michiaki Tatsubori
Utterance Classification with Logical Neural Network: Explainable AI for Mental Disorder Diagnosis. ClinicalNLP@ACL (2023)
Baihan Lin
Single-Cell Topological Simplicial Analysis Reveals Higher-Order Cellular Complexity. BIBM (2022)
Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf
Deep Annotation of Therapeutic Working Alliance in Psychotherapy. CoRR (2022)
Baihan Lin
Computational Inference in Cognitive Science: Operational, Societal and Ethical Considerations. CoRR (2022)
Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf
Working Alliance Transformer for Psychotherapy Dialogue Classification. CoRR (2022)
Baihan Lin
Geometric and Topological Inference for Deep Representations of Complex Networks. CoRR (2022)
Baihan Lin
Geometric and Topological Inference for Deep Representations of Complex Networks. WWW (Companion Volume) (2022)
Baihan Lin
Evolutionary Multi-Armed Bandits with Genetic Thompson Sampling. CEC (2022)
Baihan Lin
Knowledge Management System with NLP-Assisted Annotations: A Brief Survey and Outlook. CIKM Workshops (2022)
Baihan Lin
Topological Data Analysis in Time Series: Temporal Filtration and Application to Single-Cell Genomics. CoRR (2022)
Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi
Predicting Human Decision Making with LSTM. IJCNN (2022)
Baihan Lin
Reinforcement Learning and Bandits for Speech and Language Processing: Tutorial, Review and Outlook. CoRR (2022)
Baihan Lin, Djallel Bouneffouf
Optimal Epidemic Control as a Contextual Combinatorial Bandit with Budget. FUZZ-IEEE (2022)
Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi, Ravi Tejwani
Neural Topic Modeling of Psychotherapy Sessions. CoRR (2022)
Baihan Lin
Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers. Entropy 24 (1) (2022)
Baihan Lin
SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy Treatment Strategies with Deep Reinforcement Learning. CoRR (2022)
Christopher C. Berger, Baihan Lin, Bigna Lenggenhager, Jaron Lanier, Mar González-Franco
Follow Your Nose: Extended Arm Reach After Pinocchio Illusion in Virtual Reality. Frontiers Virtual Real. 3 (2022)
Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi
Online Learning in Iterated Prisoner's Dilemma to Mimic Human Behavior. PRICAI (3) (2022)
Baihan Lin
Knowledge Management System with NLP-Assisted Annotations: A Brief Survey and Outlook. CoRR (2022)
Baihan Lin
Voice2Alliance: Automatic Speaker Diarization and Quality Assurance of Conversational Alignment. INTERSPEECH (2022)
Baihan Lin
Topological Data Analysis in Time Series: Temporal Filtration and Application to Single-Cell Genomics. Algorithms 15 (10) (2022)
Baihan Lin
Evolutionary Multi-Armed Bandits with Genetic Thompson Sampling. CoRR (2022)
Baihan Lin, Xinxin Zhang
Speaker Diarization as a Fully Online Bandit Learning Problem in MiniVox. ACML (2021)
Baihan Lin, Djallel Bouneffouf
Optimal Epidemic Control as a Contextual Combinatorial Bandit with Budget. CoRR (2021)
Baihan Lin
Keep It Real: a Window to Real Reality in Virtual Reality. IJCAI (2020)
Baihan Lin
Keep It Real: a Window to Real Reality in Virtual Reality. CoRR (2020)
Baihan Lin
Online Semi-Supervised Learning in Contextual Bandits with Episodic Reward. CoRR (2020)
Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen, Irina Rish
A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry. AAMAS (2020)
Baihan Lin, Xinxin Zhang
Speaker Diarization as a Fully Online Learning Problem in MiniVox. CoRR (2020)
Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi
Online Learning in Iterated Prisoner's Dilemma to Mimic Human Behavior. CoRR (2020)
Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen, Irina Rish
Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL. HBAI@IJCAI (2020)
Baihan Lin
Online Semi-supervised Learning in Contextual Bandits with Episodic Reward. Australasian Conference on Artificial Intelligence (2020)
Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi
Predicting Human Decision Making in Psychological Tasks with Recurrent Neural Networks. CoRR (2020)
Baihan Lin, Xinxin Zhang
VoiceID on the Fly: A Speaker Recognition System that Learns from Scratch. INTERSPEECH (2020)
Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen, Irina Rish
Unified Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL. CoRR (2020)
Baihan Lin
Neural Networks as Model Selection with Incremental MDL Normalization. HBAI@IJCAI (2019)
Baihan Lin, Marieke Mur, Tim C. Kietzmann, Nikolaus Kriegeskorte
Visualizing Representational Dynamics with Multidimensional Scaling Alignment. CoRR (2019)
Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi
Split Q Learning: Reinforcement Learning with Two-Stream Rewards. CoRR (2019)
Baihan Lin
Regularity Normalization: Constraining Implicit Space with Minimum Description Length. CoRR (2019)
Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi
Split Q Learning: Reinforcement Learning with Two-Stream Rewards. IJCAI (2019)
Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen, Irina Rish
Reinforcement Learning Models of Human Behavior: Reward Processing in Mental Disorders. CoRR (2019)
Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi, Irina Rish
Contextual Bandit with Adaptive Feature Extraction. ICDM Workshops (2018)
Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Irina Rish
Adaptive Representation Selection in Contextual Bandit with Unlabeled History. CoRR (2018)
Baihan Lin, Nikolaus Kriegeskorte
Adaptive Independence Tests with Geo-Topological Transformation. CoRR (2018)
Avinash Bukkittu, Baihan Lin, Trung Vu, Itsik Pe'er
Parkinson's Disease Digital Biomarker Discovery with Optimized Transitions and Inferred Markov Emissions. CoRR (2017)