Min Chi
18 papers · 2018–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (33) π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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(6)
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Venues
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Research topics
Machine Learning
(14)
Artificial Intelligence
(11)
Reinforcement Learning
(8)
Core AI
(7)
Learning Types
(7)
Methods
(7)
Core Methods
(5)
Learning Paradigms
(4)
Application Areas
(3)
Bayesian & Probabilistic
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Deep Learning
(1)
Healthcare & Medicine
(1)
Interdisciplinary
(1)
Keywords
electronic health record
(5)
off-policy evaluation
(5)
offline reinforcement learning
(3)
septic shock prediction
(3)
counterfactual data augmentation
(2)
gaussian processes
(2)
intelligent tutoring system
(2)
mutual information
(2)
deep q-network
(2)
disease progression modeling
(2)
latent space
(2)
reinforcement learning
(2)
disease progression
(2)
multivariate time series
(2)
pedagogical policy
(2)
adversarial domain adaptation
(1)
adaptive learning
(1)
domain adaptation
(1)
rationale extraction
(1)
cross-lingual transfer
(1)
Papers
Human-Readable Neuro-Fuzzy Networks from Frequent Yet Discernible Patterns in Reward-Based Environments
IJCAI 2025
Iterative Counterfactual Data Augmentation
AAAI 2025
Get a Head Start: On-Demand Pedagogical Policy Selection in Intelligent Tutoring
AAAI 2024
Multi-TA: Multilevel Temporal Augmentation for Robust Septic Shock Early Prediction
IJCAI 2024
Off-Policy Selection for Initiating Human-Centric Experimental Design
NeurIPS 2024
On Trajectory Augmentations for Off-Policy Evaluation
ICLR 2024
Does Knowing When Help Is Needed Improve Subgoal Hint Performance in an Intelligent Data-Driven Logic Tutor?
AAAI 2023
Hierarchical Apprenticeship Learning for Disease Progression Modeling
IJCAI 2023
Off-Policy Evaluation for Human Feedback
NeurIPS 2023
Variational Latent Branching Model for Off-Policy Evaluation
ICLR 2023
A Reinforcement Learning-Informed Pattern Mining Framework for Multivariate Time Series Classification
IJCAI 2022
Cross-Lingual Adversarial Domain Adaptation for Novice Programming
AAAI 2022
Making a (Counterfactual) Difference One Rationale at a Time
NeurIPS 2021
Multi-series Time-aware Sequence Partitioning for Disease Progression Modeling
IJCAI 2021
Hierarchical Reinforcement Learning for Pedagogical Policy Induction (Extended Abstract)
IJCAI 2020
ATTAIN: Attention-based Time-Aware LSTM Networks for Disease Progression Modeling
IJCAI 2019
Unobserved Is Not Equal to Non-existent: Using Gaussian Processes to Infer Immediate Rewards Across Contexts
IJCAI 2019
Temporal Belief Memory: Imputing Missing Data during RNN Training
IJCAI 2018