Jingyuan Zhang
25 papers · 2019–2026 · 9 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (67) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Topic Evolution
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Keyword Champion
(2)
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Keyword Collector
(150)
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Century Club · Bronze
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Prolific Year · Prolific
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Renaissance Researcher
(5)
Top co-authors
Research topics
Artificial Intelligence
(19)
Machine Learning
(18)
Core AI
(14)
Deep Learning
(12)
Natural Language Processing
(10)
Application Areas
(8)
Computer Vision
(6)
Learning Types · Machine Learning
(6)
Optimization & Theory
(6)
Applications
(5)
Core Methods
(5)
Learning Paradigms
(5)
Learning Types · Deep Learning
(5)
Architectures
(3)
Models
(3)
Keywords
large language model
(4)
knowledge distillation
(3)
federated learning
(3)
multimodal learning
(3)
question answering
(3)
representation learning
(2)
few-shot learning
(2)
fine-grained evaluation
(2)
multimodal retrieval-augmented generation
(2)
video understanding
(2)
video captioning
(2)
document analysis
(2)
benchmark evaluation
(2)
named entity recognition
(2)
variational inference
(1)
action recognition
(1)
bayesian nonparametrics
(1)
contrastive learning
(1)
semi-supervised learning
(1)
optimal transport
(1)
Papers
AdaSVD: Singular Value Decomposition with Adaptive Mechanisms for Large Multimodal Models
CVPR 2026
Binary Message Passing for Generalizable Semi-Supervised Graph Anomaly Detection
AAAI 2026
Chart-MRAG: Benchmarking Multimodal Retrieval Augmented Generation on Chart-based Documents
ACL 2026
Rethinking the Reliability of Multi-agent System: A Perspective from Byzantine Fault Tolerance
AAAI 2026
VL-RouterBench: A Benchmark for Vision-Language Model Routing
CVPR 2026
Chain-of-Specificity: Enhancing Task-Specific Constraint Adherence in Large Language Models
COLING 2025
CoRe-MMRAG: Cross-Source Knowledge Reconciliation for Multimodal RAG
ACL 2025
Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning
ICLR 2025
Evaluating Multimodal Large Language Models on Video Captioning via Monte Carlo Tree Search
ACL 2025
P²Net: Parallel Pointer-based Network for Key Information Extraction with Complex Layouts
ACL 2025
Root Defense Strategies: Ensuring Safety of LLM at the Decoding Level
ACL 2025
Simple Yet Effective: Extracting Private Data Across Clients in Federated Fine-Tuning of Large Language Models
IJCNLP 2025
Simplifying DINO via Coding Rate Regularization
ICML 2025
Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction
ICLR 2025
TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos
ACL 2025
Decoding at the Speed of Thought: Harnessing Parallel Decoding of Lexical Units for LLMs
COLING 2024
Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding
COLING 2024
Video Event Extraction with Multi-View Interaction Knowledge Distillation
AAAI 2024
FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP
ACL 2023
Guide the Many-to-One Assignment: Open Information Extraction via IoU-aware Optimal Transport
ACL 2023
RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction
EMNLP 2023
Unsupervised Legal Evidence Retrieval via Contrastive Learning with Approximate Aggregated Positive
AAAI 2023
Trigger is Not Sufficient: Exploiting Frame-aware Knowledge for Implicit Event Argument Extraction
ACL 2021
Learning Interpretable Relationships between Entities, Relations and Concepts via Bayesian Structure Learning on Open Domain Facts
ACL 2020
Integration of Knowledge Graph Embedding Into Topic Modeling with Hierarchical Dirichlet Process
NAACL 2019