b'Baihan Lin'

research

∙ 09/20/2023

The Topology and Geometry of Neural Representations

A central question for neuroscience is how to characterize brain represe...

0 Baihan Lin, et al. ∙

research

∙ 06/06/2023

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

In response to the global challenge of mental health problems, we propos...

3 Yeldar Toleubay, et al. ∙

research

∙ 04/02/2023

Towards Healthy AI: Large Language Models Need Therapists Too

Recent advances in large language models (LLMs) have led to the developm...

8 Baihan Lin, et al. ∙

research

∙ 03/16/2023

Psychotherapy AI Companion with Reinforcement Learning Recommendations and Interpretable Policy Dynamics

We introduce a Reinforcement Learning Psychotherapy AI Companion that ge...

12 Baihan Lin, et al. ∙

research

∙ 02/21/2023

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

We present the TherapyView, a demonstration system to help therapists vi...

5 Baihan Lin, et al. ∙

research

∙ 02/21/2023

A Reinforcement Learning Framework for Online Speaker Diarization

Speaker diarization is a task to label an audio or video recording with ...

11 Baihan Lin, et al. ∙

research

∙ 02/02/2023

A Survey on Compositional Generalization in Applications

The field of compositional generalization is currently experiencing a re...

7 Baihan Lin, et al. ∙

research

∙ 10/27/2022

Working Alliance Transformer for Psychotherapy Dialogue Classification

As a predictive measure of the treatment outcome in psychotherapy, the w...

5 Baihan Lin, et al. ∙

research

∙ 10/24/2022

Reinforcement Learning and Bandits for Speech and Language Processing: Tutorial, Review and Outlook

In recent years, reinforcement learning and bandits have transformed a w...

10 Baihan Lin, et al. ∙

research

∙ 10/24/2022

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

Emerging research frontiers and computational advances have gradually tr...

13 Baihan Lin, et al. ∙

research

∙ 08/27/2022

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

We propose a recommendation system that suggests treatment strategies to...

9 Baihan Lin, et al. ∙

research

∙ 06/15/2022

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

Knowledge management systems are in high demand for industrial researche...

19 Baihan Lin, et al. ∙

research

∙ 04/29/2022

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

The absence of a conventional association between the cell-cell cohabita...

25 Baihan Lin, et al. ∙

research

∙ 04/26/2022

Evolutionary Multi-Armed Bandits with Genetic Thompson Sampling

As two popular schools of machine learning, online learning and evolutio...

1 Baihan Lin, et al. ∙

research

∙ 04/13/2022

Neural Topic Modeling of Psychotherapy Sessions

In this work, we compare different neural topic modeling methods in lear...

11 Baihan Lin, et al. ∙

research

∙ 04/12/2022

Deep Annotation of Therapeutic Working Alliance in Psychotherapy

The therapeutic working alliance is an important predictor of the outcom...

1 Baihan Lin, et al. ∙

research

∙ 03/10/2022

Geometric and Topological Inference for Deep Representations of Complex Networks

Understanding the deep representations of complex networks is an importa...

4 Baihan Lin, et al. ∙

research

∙ 06/30/2021

Optimal Epidemic Control as a Contextual Combinatorial Bandit with Budget

In light of the COVID-19 pandemic, it is an open challenge and critical ...

17 Baihan Lin, et al. ∙

research

∙ 10/22/2020

Predicting Human Decision Making in Psychological Tasks with Recurrent Neural Networks

Unlike traditional time series, the action sequences of human decision m...

15 Baihan Lin, et al. ∙

research

∙ 09/17/2020

Online Semi-Supervised Learning in Contextual Bandits with Episodic Reward

We considered a novel practical problem of online learning with episodic...

6 Baihan Lin, et al. ∙

research

∙ 06/09/2020

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

Prisoner's Dilemma mainly treat the choice to cooperate or defect as an ...

1 Baihan Lin, et al. ∙

research

∙ 06/08/2020

Speaker Diarization as a Fully Online Learning Problem in MiniVox

We proposed a novel AI framework to conduct real-time multi-speaker diar...

1 Baihan Lin, et al. ∙

research

∙ 05/10/2020

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

Artificial behavioral agents are often evaluated based on their consiste...

2 Baihan Lin, et al. ∙

research

∙ 04/21/2020

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

This paper proposed a new interaction paradigm in the virtual reality (V...

7 Baihan Lin, et al. ∙

research

∙ 06/21/2019

Visualizing Representational Dynamics with Multidimensional Scaling Alignment

Representational similarity analysis (RSA) has been shown to be an effec...

1 Baihan Lin, et al. ∙

research

∙ 06/21/2019

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

Drawing an inspiration from behavioral studies of human decision making,...

0 Baihan Lin, et al. ∙

research

∙ 06/21/2019

Split Q Learning: Reinforcement Learning with Two-Stream Rewards

Drawing an inspiration from behavioral studies of human decision making,...

0 Baihan Lin, et al. ∙

research

∙ 02/27/2019

Regularity Normalization: Constraining Implicit Space with Minimum Description Length

Inspired by the adaptation phenomenon of biological neuronal firing rate...

0 Baihan Lin, et al. ∙

research

∙ 10/06/2018

Adaptive Independence Tests with Geo-Topological Transformation

Testing two potentially multivariate variables for statistical dependenc...

0 Baihan Lin, et al. ∙

research

∙ 02/03/2018

Adaptive Representation Selection in Contextual Bandit with Unlabeled History

We consider an extension of the contextual bandit setting, motivated by ...

0 Baihan Lin, et al. ∙

research

∙ 11/11/2017

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

We search for digital biomarkers from Parkinson's Disease by observing a...

0 Avinash Bukkittu, et al. ∙

Baihan Lin

Featured Co-authors