Jingyuan Zhang
25 papers · 2019–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (8) π Cross-Pollinator (5)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(63)
π
Conference Polyglot
(8)
π§¬
Topic Evolution
π
Century Club
(21)
ποΈ
Keyword Collector
(127)
β‘
Prolific Year
(10)
Conferences
ACL (10)
AAAI (4)
COLING (3)
ICLR (2)
IJCNLP (2)
AACL (1)
EMNLP (1)
ICML (1)
NAACL (1)
Top co-authors
Research topics
Keywords
large language model
(5)
federated learning
(4)
multimodal learning
(3)
question answering
(3)
knowledge distillation
(3)
video understanding
(2)
frame-aware knowledge
(2)
multimodal retrieval-augmented generation
(2)
document analysis
(2)
event argument extraction
(2)
personally identifiable information
(2)
named entity recognition
(2)
video captioning
(2)
few-shot learning
(2)
fine-grained evaluation
(2)
graph anomaly detection
(1)
curriculum learning
(1)
semi-supervised learning
(1)
structure learning
(1)
natural language processing
(1)
Papers
Chart-MRAG: Benchmarking Multimodal Retrieval Augmented Generation on Chart-based Documents
ACL 2026
Binary Message Passing for Generalizable Semi-Supervised Graph Anomaly Detection
AAAI 2026
Rethinking the Reliability of Multi-agent System: A Perspective from Byzantine Fault Tolerance
AAAI 2026
Simple Yet Effective: Extracting Private Data Across Clients in Federated Fine-Tuning of Large Language Models
AACL 2025
TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos
ACL 2025
Root Defense Strategies: Ensuring Safety of LLM at the Decoding Level
ACL 2025
Evaluating Multimodal Large Language Models on Video Captioning via Monte Carlo Tree Search
ACL 2025
CoRe-MMRAG: Cross-Source Knowledge Reconciliation for Multimodal RAG
ACL 2025
PΒ²Net: Parallel Pointer-based Network for Key Information Extraction with Complex Layouts
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
Chain-of-Specificity: Enhancing Task-Specific Constraint Adherence in Large Language Models
COLING 2025
Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction
ICLR 2025
Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning
ICLR 2025
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
Decoding at the Speed of Thought: Harnessing Parallel Decoding of Lexical Units for LLMs
COLING 2024
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
Guide the Many-to-One Assignment: Open Information Extraction via IoU-aware Optimal Transport
ACL 2023
FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP
ACL 2023
Trigger is Not Sufficient: Exploiting Frame-aware Knowledge for Implicit Event Argument Extraction
ACL 2021
Trigger is Not Sufficient: Exploiting Frame-aware Knowledge for Implicit Event Argument Extraction
IJCNLP 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