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Zhenya Huang

49 papers · 2019–2026 · 7 conferences · across top CS/AI conferences

Achievements

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+13 more ↓ 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) πŸ—ΊοΈ Taxonomy Completionist (19) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (6)
πŸ—ΊοΈ Taxonomy Completionist (19) 🌈 Renaissance Researcher (11) 🧭 Keyword Pioneer 🀝 Dynamic Duo (32) πŸ† Keyword Champion (2) πŸ† Grand Slam 🧬 Topic Evolution πŸ—ƒοΈ Keyword Collector (54) πŸ”₯ Unstoppable (7) πŸš€ Conference Pioneer ⚑ Prolific Year (10) ❓ The Questioner πŸ’Ž Century Club (44)

Conferences

AAAI (16) ACL (11) IJCAI (7) NIPS (6) ICML (4) EMNLP (3) ICLR (2)

Research topics

Papers

From Diagnosis to Generalization: A Cognitive Approach to Data Selection for Educational LLMs AAAI 2026 Controllable Contamination Detection for Reliable LLM Evaluation with Statistical Guarantees ACL 2026 LongTutor: Benchmarking Large Language Models for Long-term Personalized Tutoring ACL 2026 TransLLM: A Unified Multi-Task Large Language Model for Urban Transportation via Learnable Prompting ACL 2026 Themis: Automated Constraint-Aware Test Synthesis Framework for Code Reinforcement Learning AAAI 2026 Position: AI Evaluation Should Learn from How We Test Humans ICML 2025 Multi-Perspective Consolidation Enhanced Cognitive Diagnosis via Conditional Diffusion Model AAAI 2025 Distribution-Driven Dense Retrieval: Modeling Many-to-One Query-Document Relationship AAAI 2025 Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems AAAI 2025 Explore What LLM Does Not Know in Complex Question Answering AAAI 2025 Automated Creation of Reusable and Diverse Toolsets for Enhancing LLM Reasoning 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 TestAgent: An Adaptive and Intelligent Expert for Human Assessment ACL 2025 CA-GAR: Context-Aware Alignment of LLM Generation for Document Retrieval ACL 2025 Refining Sentence Embedding Model through Ranking Sentences Generation with Large Language Models ACL 2025 Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment ICLR 2025 Can LLMs Solve Longer Math Word Problems Better? ICLR 2025 CogMath: Assessing LLMs’ Authentic Mathematical Ability from a Human Cognitive Perspective ICML 2025 What Makes In-context Learning Effective for Mathematical Reasoning ICML 2025 CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models IJCAI 2025 Computerized Adaptive Testing via Collaborative Ranking NIPS 2024 SocraticLM: Exploring Socratic Personalized Teaching with Large Language Models NIPS 2024 A Unified Adaptive Testing System Enabled by Hierarchical Structure Search ICML 2024 CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework AAAI 2024 RePair: Automated Program Repair with Process-based Feedback ACL 2024 Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process IJCAI 2024 Decompose, Analyze and Rethink: Solving Intricate Problems with Human-like Reasoning Cycle NIPS 2024 Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation NIPS 2024 Optimizing Code Retrieval: High-Quality and Scalable Dataset Annotation through Large Language Models EMNLP 2024 Towards Explainable Computerized Adaptive Testing with Large Language Model EMNLP 2024 RHGN: Relation-gated Heterogeneous Graph Network for Entity Alignment in Knowledge Graphs ACL 2023 Exploiting Non-Interactive Exercises in Cognitive Diagnosis IJCAI 2023 Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective NIPS 2023 Interventional Rationalization EMNLP 2023 Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning AAAI 2023 Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training AAAI 2023 A Bounded Ability Estimation for Computerized Adaptive Testing NIPS 2023 Enhancing Hierarchical Text Classification through Knowledge Graph Integration ACL 2023 Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education AAAI 2022 Preference-Adaptive Meta-Learning for Cold-Start Recommendation IJCAI 2021 Guided Attention Network for Concept Extraction IJCAI 2021 GraphMI: Extracting Private Graph Data from Graph Neural Networks IJCAI 2021 Item Response Ranking for Cognitive Diagnosis IJCAI 2021 HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem AAAI 2021 NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction AAAI 2021 Neural Cognitive Diagnosis for Intelligent Education Systems AAAI 2020 A Variational Point Process Model for Social Event Sequences AAAI 2020 Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective AAAI 2019