Zeyu Zhang
52 papers · 2020–2026 · 16 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π Conference Polyglot (16) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (15)
π
Cross-Pollinator
(15)
π
Renaissance Researcher
(9)
πΊοΈ
Taxonomy Completionist
(72)
π§¬
Topic Evolution
π
Keyword Champion
(2)
π
Grand Slam
π
Conference Pioneer
β
The Questioner
ποΈ
Keyword Collector
(190)
π
Century Club
(44)
π₯
Unstoppable
(6)
β‘
Prolific Year
(13)
Conferences
ACL (9)
AAAI (8)
NAACL (5)
NIPS (5)
EMNLP (4)
ICCV (4)
CVPR (3)
EACL (3)
MICCAI (3)
IJCAI (2)
ECCV (1)
ICLR (1)
ICML (1)
IJCNLP (1)
INTERSPEECH (1)
WACV (1)
Top co-authors
Keywords
large language model
(8)
graph neural network
(6)
question answering
(5)
reinforcement learning
(4)
answer verification
(4)
social media
(3)
link prediction
(3)
multi-agent system
(3)
stance detection
(3)
misinformation detection
(3)
signed graph
(2)
vision-language model
(2)
retrieval-augmented generation
(2)
domain shift
(2)
proximal policy optimization
(2)
taxonomy construction
(2)
bayesian optimization
(2)
data augmentation
(2)
contrastive learning
(2)
multimodal learning
(2)
Papers
Audio Jailbreak: An Open Comprehensive Benchmark for Jailbreaking Large Audio-Language Models
ACL 2026
Prototype-Driven Active Domain Adaptation with Density Consideration
AAAI 2026
Compositional Attribute Imbalance in Vision Datasets
AAAI 2026
VaseVQA: Multimodal Agent and Benchmark for Ancient Greek Pottery
EACL 2026
MMCLIP: Cross-Modal Attention Masked Modelling for Medical Language-Image Pre-Training
ACL 2026
V-Pruner: A Fast and Globally-informed Token Pruning Framework for Vision Transformer
AAAI 2026
ManipLVM-R1: Reinforcement Learning for Reasoning in Embodied Manipulation with Large Vision-Language Models
AAAI 2026
CypherSmith: Transforming Text-to-Cypher Generation for LLMs with Synthetic Data
ACL 2026
A Two-Stage Method for Specular Highlight Detection and Removal in Medical Images
MICCAI 2025
MemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based Agents
ACL 2025
LLMTaxo: Leveraging Large Language Models for Constructing Taxonomy of Factual Claims from Social Media
ACL 2025
OCRT: Boosting Foundation Models in the Open World with Object-Concept-Relation Triad
CVPR 2025
RATSD: Retrieval Augmented Truthfulness Stance Detection from Social Media Posts Toward Factual Claims
NAACL 2025
TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System
NAACL 2025
Retrieving Support to Rank Answers in Open-Domain Question Answering
EMNLP 2025
ARXSA: A General Negative Feedback Control Theory in Vision-Language Models
EMNLP 2025
PresentAgent: Multimodal Agent for Presentation Video Generation
EMNLP 2025
Hazards in Daily Life? Enabling Robots to Proactively Detect and Resolve Anomalies
NAACL 2025
DHGFormer: Dynamic Hierarchical Graph Transformer for Disorder Brain Disease Diagnosis
MICCAI 2025
Effective Training Data Synthesis for Improving MLLM Chart Understanding
ICCV 2025
VehicleMAE: View-asymmetry Mutual Learning for Vehicle Re-identification Pre-training via Masked AutoEncoders
ICCV 2025
Efficient Learning with Sine-Activated Low-Rank Matrices
ICLR 2025
Self-Explainable Graph Transformer for Link Sign Prediction
AAAI 2025
Adaptive Embedding for Long-Range High-Order Dependencies via Time-Varying Transformer on fMRI
MICCAI 2025
Motion Mamba: Efficient and Long Sequence Motion Generation
ECCV 2024
DropEdge not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks
NIPS 2024
Reflective Multi-Agent Collaboration based on Large Language Models
NIPS 2024
Reviewing the Forgotten Classes for Domain Adaptation of Black-Box Predictors
AAAI 2024
Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy
AAAI 2024
Granular Analysis of Social Media Usersβ Truthfulness Stances Toward Climate Change Factual Claims
ACL 2024
Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch
CVPR 2024
Device-Wise Federated Network Pruning
CVPR 2024
Generalizing Knowledge Graph Embedding with Universal Orthogonal Parameterization
ICML 2024
Exploring the Role of Node Diversity in Directed Graph Representation Learning
IJCAI 2024
Reconfigurability-Aware Selection for Contrastive Active Domain Adaptation
IJCAI 2024
Reinforcement Learning from Answer Reranking Feedback for Retrieval-Augmented Answer Generation
INTERSPEECH 2024
Improving Toponym Resolution by Predicting Attributes to Constrain Geographical Ontology Entries
NAACL 2024
Structural Alignment for Network Pruning through Partial Regularization
ICCV 2023
Hallucination Mitigation in Natural Language Generation from Large-Scale Open-Domain Knowledge Graphs
EMNLP 2023
SGΓP : A Sorghum Genotype Γ Phenotype Prediction Dataset and Benchmark
NIPS 2023
Double Retrieval and Ranking for Accurate Question Answering
EACL 2023
Improving Toponym Resolution with Better Candidate Generation, Transformer-based Reranking, and Two-Stage Resolution
ACL 2023
USER: Unsupervised Structural Entropy-Based Robust Graph Neural Network
AAAI 2023
Bayesian Active Causal Discovery with Multi-Fidelity Experiments
NIPS 2023
Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective
NIPS 2023
X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events
ICCV 2023
Taxonomy Builder: a Data-driven and User-centric Tool for Streamlining Taxonomy Construction
NAACL 2022
A Dashboard for Mitigating the COVID-19 Misinfodemic
EACL 2021
Joint Models for Answer Verification in Question Answering Systems
IJCNLP 2021
Joint Models for Answer Verification in Question Answering Systems
ACL 2021
A Generate-and-Rank Framework with Semantic Type Regularization for Biomedical Concept Normalization
ACL 2020
2-MAP: Aligned Visualizations for Comparison of High-Dimensional Point Sets
WACV 2020