Yan Zhuang

25 papers · 2020–2026 · 10 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (13) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🗺️ Taxonomy Completionist (44) 🌍 Conference Polyglot (10) 🏃 Academic Marathon (5) 🌈 Renaissance Researcher (10) 🤝 Dynamic Duo (10) 👥 Mega-Team (24) 🔥 Unstoppable (6) 💎 Century Club (23) 🗃️ Keyword Collector (89) ⚡ Prolific Year (9)

Conferences

AAAI (4) MICCAI (4) NIPS (4) COLING (3) ICML (3) EMNLP (2) SEMEVAL (2) ACL (1) ICCV (1) NSDI (1)

Top co-authors

Qi Liu (11) Zhenya Huang (9) Enhong Chen (7) Shijin Wang (5) Yanru Zhang (5) Jiatong Li (4) Xin Li (4) Weilong Chen (4) Wei Bai (3) Tianming Liu (3)

Research topics

Keywords

large language model (4) text classification (4) sentiment analysis (4) question selection (4) computerized adaptive testing (4) representation learning (3) pseudo labeling (2) counterfactual detection (2) agent system (2) personalized assessment (2) adaptive testing (2) data augmentation (2) knowledge distillation (2) item response theory (2) curriculum learning (2) ability estimation (2) opinion mining (1) performance optimization (1) cognitive modeling (1) algorithmic fairness (1)

Papers

TMDC: A Two-Stage Modality Denoising and Complementation Framework for Multimodal Sentiment Analysis with Missing and Noisy Modalities AAAI 2026

From Diagnosis to Generalization: A Cognitive Approach to Data Selection for Educational LLMs AAAI 2026

CMAD: Correlation-Aware and Modalities-Aware Distillation for Multimodal Sentiment Analysis with Missing Modalities ICCV 2025

Multi-Perspective Consolidation Enhanced Cognitive Diagnosis via Conditional Diffusion Model AAAI 2025

TestAgent: An Adaptive and Intelligent Expert for Human Assessment ACL 2025

am-ELO: A Stable Framework for Arena-based LLM Evaluation ICML 2025

Position: AI Evaluation Should Learn from How We Test Humans ICML 2025

A Unified Continuous Staging Framework for Alzheimer’s Disease and Lewy Body Dementia via Hierarchical Anatomical Features MICCAI 2025

Core-Periphery Principle Guided State Space Model for Functional Connectome Classification MICCAI 2025

Domain-Adaptive Diagnosis of Lewy Body Disease with Transferability Aware Transformer MICCAI 2025

LEAVS: An LLM-based Labeler for Abdominal CT Supervision MICCAI 2025

Computerized Adaptive Testing via Collaborative Ranking NIPS 2024

A Unified Adaptive Testing System Enabled by Hierarchical Structure Search ICML 2024

Towards Explainable Computerized Adaptive Testing with Large Language Model EMNLP 2024

PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations NIPS 2024

A Bounded Ability Estimation for Computerized Adaptive Testing NIPS 2023

FairLISA: Fair User Modeling with Limited Sensitive Attributes Information NIPS 2023

Yet at the FinNLP-2022 ERAI Task: Modified models for evaluating the Rationales of Amateur Investors EMNLP 2022

Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education AAAI 2022

Yet@SMM4H’22: Improved BERT-based classification models with Rdrop and PolyLoss COLING 2022

When Cloud Storage Meets RDMA NSDI 2021

Ferryman as SemEval-2020 Task 5: Optimized BERT for Detecting Counterfactuals SEMEVAL 2020

Ferryman as SemEval-2020 Task 5: Optimized BERT for Detecting Counterfactuals COLING 2020

Will_go at SemEval-2020 Task 9: An Accurate Approach for Sentiment Analysis on Hindi-English Tweets Based on Bert and Pesudo Label Strategy COLING 2020

Will_go at SemEval-2020 Task 9: An Accurate Approach for Sentiment Analysis on Hindi-English Tweets Based on Bert and Pesudo Label Strategy SEMEVAL 2020