Min Chi
18 papers · 2018–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (4) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (7)
🌍
Conference Polyglot
(4)
🏃
Academic Marathon
(7)
🧭
Keyword Pioneer
🧬
Topic Evolution
🗃️
Keyword Collector
(69)
💎
Century Club
(18)
🔥
Unstoppable
(8)
❓
The Questioner
Conferences
IJCAI (9)
AAAI (4)
NIPS (3)
ICLR (2)
Top co-authors
Research topics
Keywords
electronic health record
(5)
off-policy evaluation
(3)
septic shock prediction
(3)
disease progression
(2)
offline reinforcement learning
(2)
mutual information
(2)
intelligent tutoring system
(2)
gaussian processes
(2)
deep q-network
(2)
pedagogical policy
(2)
reinforcement learning
(2)
disease progression modeling
(2)
counterfactual data augmentation
(2)
time series classification
(1)
hierarchical reinforcement learning
(1)
text classification
(1)
adversarial domain adaptation
(1)
adaptive learning
(1)
domain adaptation
(1)
adversarial learning
(1)
Papers
Iterative Counterfactual Data Augmentation
AAAI 2025
Human-Readable Neuro-Fuzzy Networks from Frequent Yet Discernible Patterns in Reward-Based Environments
IJCAI 2025
Multi-TA: Multilevel Temporal Augmentation for Robust Septic Shock Early Prediction
IJCAI 2024
On Trajectory Augmentations for Off-Policy Evaluation
ICLR 2024
Off-Policy Selection for Initiating Human-Centric Experimental Design
NIPS 2024
Get a Head Start: On-Demand Pedagogical Policy Selection in Intelligent Tutoring
AAAI 2024
Hierarchical Apprenticeship Learning for Disease Progression Modeling
IJCAI 2023
Off-Policy Evaluation for Human Feedback
NIPS 2023
Does Knowing When Help Is Needed Improve Subgoal Hint Performance in an Intelligent Data-Driven Logic Tutor?
AAAI 2023
Variational Latent Branching Model for Off-Policy Evaluation
ICLR 2023
Cross-Lingual Adversarial Domain Adaptation for Novice Programming
AAAI 2022
A Reinforcement Learning-Informed Pattern Mining Framework for Multivariate Time Series Classification
IJCAI 2022
Making a (Counterfactual) Difference One Rationale at a Time
NIPS 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