Chunhui Zhang
31 papers · 2020–2026 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (69) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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(15)
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Keyword Collector
(158)
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Top co-authors
Research topics
Machine Learning
(25)
Deep Learning
(21)
Artificial Intelligence
(19)
Core AI
(18)
Learning Types Β· Deep Learning
(15)
Learning Types Β· Machine Learning
(12)
Architectures
(11)
Application Areas
(10)
Core Methods
(7)
Computer Vision
(5)
Natural Language Processing
(3)
Models
(3)
Optimization & Theory
(3)
Analysis
(2)
Applications
(2)
Keywords
graph neural network
(9)
large language model
(8)
representation learning
(7)
graph classification
(4)
node classification
(3)
reinforcement learning
(3)
graph contrastive learning
(3)
contrastive learning
(3)
multimodal learning
(3)
knowledge distillation
(3)
mixture of expert
(2)
adversarial attack
(2)
foundation model
(2)
language model
(2)
multimodal large language model
(2)
video understanding
(2)
video captioning
(2)
model merging
(2)
model compression
(2)
question answering
(2)
Papers
Behavior Knowledge Merge in Reinforced Agentic Models
ACL 2026
Demystifying Uncertainty in LLMs: Active Calibration between Concepts and Human Evaluations
ACL 2026
Mind the Gap: The Divergence Between Human and LLM-Generated Tasks
AAAI 2026
What Makes a Good Curriculum? Disentangling the Effects of Data Ordering on LLM Mathematical Reasoning
ACL 2026
What Makes LLMs Effective Sequential Recommenders? A Study on Preference Intensity and Temporal Context
ACL 2026
Growing Through Experience: Scaling Episodic Grounding in Language Models
ACL 2025
Is It Navajo? Accurate Language Detection for Endangered Athabaskan Languages
NAACL 2025
Knowing More, Acting Better: Hierarchical Representation for Embodied Decision-Making
EMNLP 2025
Learning Sparsity for Effective and Efficient Music Performance Question Answering
ACL 2025
Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models
ACL 2025
Overcoming Multi-step Complexity in Multimodal Theory-of-Mind Reasoning: A Scalable Bayesian Planner
ICML 2025
Pretrained Image-Text Models are Secretly Video Captioners
NAACL 2025
SoundMind: RL-Incentivized Logic Reasoning for Audio-Language Models
EMNLP 2025
Superficial Self-Improved Reasoners Benefit from Model Merging
EMNLP 2025
Temporal Working Memory: Query-Guided Segment Refinement for Enhanced Multimodal Understanding
NAACL 2025
Visibility as Survival: Generalizing NLP for Native Alaskan Language Identification
ACL 2025
Aligning Relational Learning with Lipschitz Fairness
ICLR 2024
Expedited Training of Visual Conditioned Language Generation via Redundancy Reduction
ACL 2024
GCVR: Reconstruction from Cross-View Enable Sufficient and Robust Graph Contrastive Learning
UAI 2024
Learning Musical Representations for Music Performance Question Answering
EMNLP 2024
Mitigating Emergent Robustness Degradation while Scaling Graph Learning
ICLR 2024
WebUOT-1M: Advancing Deep Underwater Object Tracking with A Million-Scale Benchmark
NeurIPS 2024
Working Memory Identifies Reasoning Limits in Language Models
EMNLP 2024
Boosting Graph Neural Networks via Adaptive Knowledge Distillation
AAAI 2023
Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization
ICLR 2023
Graph Contrastive Learning with Group Whitening
ACML 2023
Heterogeneous Graph Masked Autoencoders
AAAI 2023
When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations
ICML 2023
Co-Modality Graph Contrastive Learning for Imbalanced Node Classification
NeurIPS 2022
Label-invariant Augmentation for Semi-Supervised Graph Classification
NeurIPS 2022
Coupled-View Deep Classifier Learning from Multiple Noisy Annotators
AAAI 2020