Baihan Lin - RankMe

75 papers A* 3A 3B 3C 1Misc 1Journal 47Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Rate-Distortion Signatures of Generalization and Information Trade-offs. CoRR Leyla Roksan Caglar, Pedro A. M. Mediano, Baihan Lin
2025	J	`jnl`	Conversational DNA: A New Visual Language for Understanding Dialogue Structure in Human and AI. CoRR Baihan Lin
2025	—	`conf`	Multi-Armed Bandit with Sparse and Noisy Feedback. ICASSP Workshops Djallel Bouneffouf, Raphaël Féraud, Baihan Lin
2025	J	`jnl`	Perceptual Reality Transformer: Neural Architectures for Simulating Neurological Perception Conditions. CoRR Baihan Lin
2025	—	`conf`	TherapyView: Visualizing Therapy Sessions with Temporal Topic Modeling and AI-Generated Arts (short paper). IUI Workshops Baihan Lin, Stefan Zecevic, Djallel Bouneffouf, Guillermo A. Cecchi
2025	J	`jnl`	Towards a Multi-Stakeholder process for developing responsible AI governance in consumer health. Int. J. Medical Informatics Leon Rozenblit, Amy Price, Anthony Solomonides, Amanda L. Joseph, Gyana Srivastava, Steven E. Labkoff, Dave deBronkart, Reva Singh, Kiran Dattani, Mónica López-González, Paul J. Barr, Eileen Koski, Baihan Lin, Erika Cheung, Mark G. Weiner, Tayler Williams, Tien Thi Thuy Bui, Yuri Quintana
2025	J	`jnl`	Towards responsible artificial intelligence in healthcare - getting real about real-world data and evidence. J. Am. Medical Informatics Assoc. Eileen Koski, Amar K. Das, Pei-Yun Sabrina Hsueh, Anthony Solomonides, Amanda L. Joseph, Gyana Srivastava, Carl Erwin Johnson, Joseph L. Kannry, Bilikis Oladimeji, Amy Price, Steven E. Labkoff, Gnana Bharathy, Baihan Lin, Douglas B. Fridsma, Lee A. Fleisher, Mónica López-González, Reva Singh, Mark G. Weiner, Robert Stolper, Russell Baris, Suzanne Sincavage, Tristan Naumann, Tayler Williams, Tien Thi Thuy Bui, Yuri Quintana
2025	J	`jnl`	Word Clouds as Common Voices: LLM-Assisted Visualization of Participant-Weighted Themes in Qualitative Interviews. CoRR Joseph T. Colonel, Baihan Lin
2024	J	`jnl`	COMPASS: Computational Mapping of Patient-Therapist Alliance Strategies with Language Modeling. CoRR Baihan Lin, Djallel Bouneffouf, Yulia Landa, Rachel Jespersen, Cheryl Corcoran, Guillermo A. Cecchi
2024	—	`conf`	Conversational Topic Recommendation in Counseling and Psychotherapy with Decision Transformer and Large Language Models. ClinicalNLP@NAACL Aylin Gunal, Baihan Lin, Djallel Bouneffouf
2024	J	`jnl`	Conversational Topic Recommendation in Counseling and Psychotherapy with Decision Transformer and Large Language Models. CoRR Aylin Gunal, Baihan Lin, Djallel Bouneffouf
2024	J	`jnl`	Reinforcement learning and bandits for speech and language processing: Tutorial, review and outlook. Expert Syst. Appl. Baihan Lin
2024	J	`jnl`	The Gradient of Health Data Privacy. CoRR Baihan Lin
2024	J	`jnl`	The Machine Can't Replace the Human Heart. CoRR Baihan Lin
2024	J	`jnl`	Topological Representational Similarity Analysis in Brains and Beyond. CoRR Baihan Lin
2024	J	`jnl`	Toward a responsible future: recommendations for AI-enabled clinical decision support. J. Am. Medical Informatics Assoc. Steven E. Labkoff, Bilikis Oladimeji, Joseph L. Kannry, Anthony Solomonides, Russell Leftwich, Eileen Koski, Amanda L. Joseph, Mónica López-González, 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 Sánchez Luque, Tien Thi Thuy Bui, Reva Singh, Tayler Williams, Mark G. Weiner, Tristan Naumann, Dean F. Sittig, Gretchen Purcell Jackson, Yuri Quintana
2024	—	`conf`	Working Alliance Transformer for Psychotherapy Dialogue Classification. ClinicalNLP@NAACL Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf
2023	J	`jnl`	A Reinforcement Learning Framework for Online Speaker Diarization. CoRR Baihan Lin, Xinxin Zhang
2023	J	`jnl`	A Survey on Compositional Generalization in Applications. CoRR Baihan Lin, Djallel Bouneffouf, Irina Rish
2023	—	`conf`	Helping Therapists with NLP-Annotated Recommendation 17-24. IUI Workshops Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf
2023	—	`conf`	Improved PAPR Reduction Algorithm for OTFS Systems. ICNC-FSKD Jurong Bai, Baihan Lin, Xiaofang Tao
2023	—	`conf`	Psychotherapy AI Companion with Reinforcement Learning Recommendations and Interpretable Policy Dynamics. WWW (Companion Volume) Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf
2023	J	`jnl`	Psychotherapy AI Companion with Reinforcement Learning Recommendations and Interpretable Policy Dynamics. CoRR Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf
2023	Misc	`conf`	Question Answering System with Sparse and Noisy Feedback. ICASSP Djallel Bouneffouf, Oznur Alkan, Raphaël Féraud, Baihan Lin
2023	—	`conf`	Signal Detection in OTFS System Based on Deep Learning. AIPR Jurong Bai, Yuxin Mi, Baihan Lin
2023	A*	`conf`	SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy Treatment Strategies with Deep Reinforcement Learning. IJCAI Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf
2023	J	`jnl`	The Topology and Geometry of Neural Representations. CoRR Baihan Lin, Nikolaus Kriegeskorte
2023	J	`jnl`	TherapyView: Visualizing Therapy Sessions with Temporal Topic Modeling and AI-Generated Arts. CoRR Baihan Lin, Stefan Zecevic, Djallel Bouneffouf, Guillermo A. Cecchi
2023	J	`jnl`	Towards Healthy AI: Large Language Models Need Therapists Too. CoRR Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi, Kush R. Varshney
2023	—	`conf`	Utterance Classification with Logical Neural Network: Explainable AI for Mental Disorder Diagnosis. ClinicalNLP@ACL Yeldar Toleubay, Don Joven Agravante, Daiki Kimura, Baihan Lin, Djallel Bouneffouf, Michiaki Tatsubori
2023	J	`jnl`	Utterance Classification with Logical Neural Network: Explainable AI for Mental Disorder Diagnosis. CoRR Yeldar Toleubay, Don Joven Agravante, Daiki Kimura, Baihan Lin, Djallel Bouneffouf, Michiaki Tatsubori
2022	J	`jnl`	Computational Inference in Cognitive Science: Operational, Societal and Ethical Considerations. CoRR Baihan Lin
2022	J	`jnl`	Deep Annotation of Therapeutic Working Alliance in Psychotherapy. CoRR Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf
2022	B	`conf`	Evolutionary Multi-Armed Bandits with Genetic Thompson Sampling. CEC Baihan Lin
2022	J	`jnl`	Evolutionary Multi-Armed Bandits with Genetic Thompson Sampling. CoRR Baihan Lin
2022	J	`jnl`	Follow Your Nose: Extended Arm Reach After Pinocchio Illusion in Virtual Reality. Frontiers Virtual Real. Christopher C. Berger, Baihan Lin, Bigna Lenggenhager, Jaron Lanier, Mar González-Franco
2022	—	`conf`	Geometric and Topological Inference for Deep Representations of Complex Networks. WWW (Companion Volume) Baihan Lin
2022	J	`jnl`	Geometric and Topological Inference for Deep Representations of Complex Networks. CoRR Baihan Lin
2022	—	`conf`	Knowledge Management System with NLP-Assisted Annotations: A Brief Survey and Outlook. CIKM Workshops Baihan Lin
2022	J	`jnl`	Knowledge Management System with NLP-Assisted Annotations: A Brief Survey and Outlook. CoRR Baihan Lin
2022	J	`jnl`	Neural Topic Modeling of Psychotherapy Sessions. CoRR Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi, Ravi Tejwani
2022	—	`conf`	Online Learning in Iterated Prisoner's Dilemma to Mimic Human Behavior. PRICAI (3) Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi
2022	B	`conf`	Optimal Epidemic Control as a Contextual Combinatorial Bandit with Budget. FUZZ-IEEE Baihan Lin, Djallel Bouneffouf
2022	B	`conf`	Predicting Human Decision Making with LSTM. IJCNN Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi
2022	J	`jnl`	Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers. Entropy Baihan Lin
2022	J	`jnl`	Reinforcement Learning and Bandits for Speech and Language Processing: Tutorial, Review and Outlook. CoRR Baihan Lin
2022	—	`conf`	Single-Cell Topological Simplicial Analysis Reveals Higher-Order Cellular Complexity. BIBM Baihan Lin
2022	J	`jnl`	SupervisorBot: NLP-Annotated Real-Time Recommendations of Psychotherapy Treatment Strategies with Deep Reinforcement Learning. CoRR Baihan Lin
2022	J	`jnl`	Topological Data Analysis in Time Series: Temporal Filtration and Application to Single-Cell Genomics. Algorithms Baihan Lin
2022	J	`jnl`	Topological Data Analysis in Time Series: Temporal Filtration and Application to Single-Cell Genomics. CoRR Baihan Lin
2022	A	`conf`	Voice2Alliance: Automatic Speaker Diarization and Quality Assurance of Conversational Alignment. INTERSPEECH Baihan Lin
2022	J	`jnl`	Working Alliance Transformer for Psychotherapy Dialogue Classification. CoRR Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf
2021	J	`jnl`	Optimal Epidemic Control as a Contextual Combinatorial Bandit with Budget. CoRR Baihan Lin, Djallel Bouneffouf
2021	C	`conf`	Speaker Diarization as a Fully Online Bandit Learning Problem in MiniVox. ACML Baihan Lin, Xinxin Zhang
2020	A	`conf`	A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry. AAMAS Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen, Irina Rish
2020	A*	`conf`	Keep It Real: a Window to Real Reality in Virtual Reality. IJCAI Baihan Lin
2020	J	`jnl`	Keep It Real: a Window to Real Reality in Virtual Reality. CoRR Baihan Lin
2020	—	`conf`	Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL. HBAI@IJCAI Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen, Irina Rish
2020	J	`jnl`	Online Learning in Iterated Prisoner's Dilemma to Mimic Human Behavior. CoRR Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi
2020	J	`jnl`	Online Semi-Supervised Learning in Contextual Bandits with Episodic Reward. CoRR Baihan Lin
2020	—	`conf`	Online Semi-supervised Learning in Contextual Bandits with Episodic Reward. Australasian Conference on Artificial Intelligence Baihan Lin
2020	J	`jnl`	Predicting Human Decision Making in Psychological Tasks with Recurrent Neural Networks. CoRR Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi
2020	J	`jnl`	Speaker Diarization as a Fully Online Learning Problem in MiniVox. CoRR Baihan Lin, Xinxin Zhang
2020	J	`jnl`	Unified Models of Human Behavioral Agents in Bandits, Contextual Bandits and RL. CoRR Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen, Irina Rish
2020	A	`conf`	VoiceID on the Fly: A Speaker Recognition System that Learns from Scratch. INTERSPEECH Baihan Lin, Xinxin Zhang
2019	—	`conf`	Neural Networks as Model Selection with Incremental MDL Normalization. HBAI@IJCAI Baihan Lin
2019	J	`jnl`	Regularity Normalization: Constraining Implicit Space with Minimum Description Length. CoRR Baihan Lin
2019	J	`jnl`	Reinforcement Learning Models of Human Behavior: Reward Processing in Mental Disorders. CoRR Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Jenna M. Reinen, Irina Rish
2019	A*	`conf`	Split Q Learning: Reinforcement Learning with Two-Stream Rewards. IJCAI Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi
2019	J	`jnl`	Split Q Learning: Reinforcement Learning with Two-Stream Rewards. CoRR Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi
2019	J	`jnl`	Visualizing Representational Dynamics with Multidimensional Scaling Alignment. CoRR Baihan Lin, Marieke Mur, Tim C. Kietzmann, Nikolaus Kriegeskorte
2018	J	`jnl`	Adaptive Independence Tests with Geo-Topological Transformation. CoRR Baihan Lin, Nikolaus Kriegeskorte
2018	J	`jnl`	Adaptive Representation Selection in Contextual Bandit with Unlabeled History. CoRR Baihan Lin, Guillermo A. Cecchi, Djallel Bouneffouf, Irina Rish
2018	—	`conf`	Contextual Bandit with Adaptive Feature Extraction. ICDM Workshops Baihan Lin, Djallel Bouneffouf, Guillermo A. Cecchi, Irina Rish
2017	J	`jnl`	Parkinson's Disease Digital Biomarker Discovery with Optimized Transitions and Inferred Markov Emissions. CoRR Avinash Bukkittu, Baihan Lin, Trung Vu, Itsik Pe'er