Zhenya Huang
49 papers · 2019–2026 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (97) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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(36)
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(13)
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Keyword Champion
(3)
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Keyword Pioneer
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Renaissance Researcher
(9)
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The Questioner
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Conference Pioneer
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Century Club Β· Bronze
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Research topics
Machine Learning
(38)
Artificial Intelligence
(32)
Core AI
(31)
Learning Types Β· Machine Learning
(20)
Core Methods
(19)
Deep Learning
(18)
Natural Language Processing
(17)
Application Areas
(12)
Interdisciplinary
(11)
Education
(10)
Applications
(9)
Learning Types Β· Deep Learning
(9)
Resources & Methods
(9)
Optimization & Theory
(8)
Architectures
(6)
Keywords
large language model
(17)
cognitive diagnosis
(5)
reinforcement learning
(4)
computerized adaptive testing
(4)
item response theory
(4)
knowledge concept
(4)
representation learning
(4)
contrastive learning
(4)
question selection
(4)
multi-agent system
(3)
graph neural network
(3)
personalized learning
(3)
knowledge graph
(3)
adaptive testing
(3)
knowledge tracing
(3)
agent system
(3)
student proficiency
(3)
ability estimation
(2)
personalized assessment
(2)
cognitive modeling
(2)
Papers
Controllable Contamination Detection for Reliable LLM Evaluation with Statistical Guarantees
ACL 2026
From Diagnosis to Generalization: A Cognitive Approach to Data Selection for Educational LLMs
AAAI 2026
LongTutor: Benchmarking Large Language Models for Long-term Personalized Tutoring
ACL 2026
Themis: Automated Constraint-Aware Test Synthesis Framework for Code Reinforcement Learning
AAAI 2026
TransLLM: A Unified Multi-Task Large Language Model for Urban Transportation via Learnable Prompting
ACL 2026
Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems
AAAI 2025
Automated Creation of Reusable and Diverse Toolsets for Enhancing LLM Reasoning
AAAI 2025
CA-GAR: Context-Aware Alignment of LLM Generation for Document Retrieval
ACL 2025
Can LLMs Solve Longer Math Word Problems Better?
ICLR 2025
CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models
IJCAI 2025
CogMath: Assessing LLMsβ Authentic Mathematical Ability from a Human Cognitive Perspective
ICML 2025
Distribution-Driven Dense Retrieval: Modeling Many-to-One Query-Document Relationship
AAAI 2025
Explore What LLM Does Not Know in Complex Question Answering
AAAI 2025
From Objectives to Questions: A Planning-based Framework for Educational Mathematical Question Generation
ACL 2025
IRT-Router: Effective and Interpretable Multi-LLM Routing via Item Response Theory
ACL 2025
Multi-Perspective Consolidation Enhanced Cognitive Diagnosis via Conditional Diffusion Model
AAAI 2025
Position: AI Evaluation Should Learn from How We Test Humans
ICML 2025
Refining Sentence Embedding Model through Ranking Sentences Generation with Large Language Models
ACL 2025
TestAgent: An Adaptive and Intelligent Expert for Human Assessment
ACL 2025
Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment
ICLR 2025
What Makes In-context Learning Effective for Mathematical Reasoning
ICML 2025
A Unified Adaptive Testing System Enabled by Hierarchical Structure Search
ICML 2024
Computerized Adaptive Testing via Collaborative Ranking
NeurIPS 2024
CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework
AAAI 2024
Decompose, Analyze and Rethink: Solving Intricate Problems with Human-like Reasoning Cycle
NeurIPS 2024
Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process
IJCAI 2024
Optimizing Code Retrieval: High-Quality and Scalable Dataset Annotation through Large Language Models
EMNLP 2024
RePair: Automated Program Repair with Process-based Feedback
ACL 2024
SocraticLM: Exploring Socratic Personalized Teaching with Large Language Models
NeurIPS 2024
Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation
NeurIPS 2024
Towards Explainable Computerized Adaptive Testing with Large Language Model
EMNLP 2024
A Bounded Ability Estimation for Computerized Adaptive Testing
NeurIPS 2023
Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective
NeurIPS 2023
Enhancing Hierarchical Text Classification through Knowledge Graph Integration
ACL 2023
Exploiting Non-Interactive Exercises in Cognitive Diagnosis
IJCAI 2023
Interventional Rationalization
EMNLP 2023
Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning
AAAI 2023
RHGN: Relation-gated Heterogeneous Graph Network for Entity Alignment in Knowledge Graphs
ACL 2023
Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training
AAAI 2023
Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education
AAAI 2022
GraphMI: Extracting Private Graph Data from Graph Neural Networks
IJCAI 2021
Guided Attention Network for Concept Extraction
IJCAI 2021
HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem
AAAI 2021
Item Response Ranking for Cognitive Diagnosis
IJCAI 2021
NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction
AAAI 2021
Preference-Adaptive Meta-Learning for Cold-Start Recommendation
IJCAI 2021
A Variational Point Process Model for Social Event Sequences
AAAI 2020
Neural Cognitive Diagnosis for Intelligent Education Systems
AAAI 2020
Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective
AAAI 2019