Hongyu Zhang
39 papers · 2017–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (15) π Conference Polyglot (8)
π§
Keyword Pioneer
π
Renaissance Researcher
(6)
π
Conference Polyglot
(8)
π§¬
Topic Evolution
ποΈ
Keyword Collector
(180)
β‘
Prolific Year
(9)
π
Century Club
(34)
π₯
Unstoppable
(7)
β
The Questioner
Conferences
ACL (9)
IJCAI (8)
EMNLP (7)
AAAI (6)
COLING (3)
ICML (3)
NIPS (2)
EACL (1)
Top co-authors
Research topics
Keywords
large language model
(9)
code generation
(8)
auditory attention detection
(4)
neural network
(4)
graph neural network
(3)
brain-computer interface
(3)
attention mechanism
(3)
code search
(3)
eeg signal
(2)
representation learning
(2)
resource allocation
(2)
contrastive learning
(2)
bayesian optimization
(2)
data visualization
(2)
causal inference
(2)
information retrieval
(2)
multimodal learning
(2)
data augmentation
(2)
cloud computing
(2)
multi-agent system
(2)
Papers
GIER: Addressing Class Imbalance in GNNs Through Experience Replay
AAAI 2026
From Logical to Computational Sparsity: Structure-Aware Block-Sparse Attention for Long-Code Completion
ACL 2026
WaveFormer: Frequency-Time Decoupled Vision Modeling with Wave Equation
AAAI 2026
VGD: Value-Guided Diffusion Toward High-Utility Medical Image Segmentation
AAAI 2026
DeepGuard: Secure Code Generation via Multi-Layer Semantic Aggregation
ACL 2026
Dataflow-Guided Neuro-Symbolic Language Models for Type Inference
ICML 2025
nvAgent: Automated Data Visualization from Natural Language via Collaborative Agent Workflow
ACL 2025
From Informal to Formal β Incorporating and Evaluating LLMs on Natural Language Requirements to Verifiable Formal Proofs
ACL 2025
A Semantic-Aware Layer-Freezing Approach to Computation-Efficient Fine-Tuning of Language Models
ACL 2025
Sign2Vis: Automated Data Visualization from Sign Language
ACL 2025
BOIDS: High-Dimensional Bayesian Optimization via Incumbent-Guided Direction Lines and Subspace Embeddings
AAAI 2025
FedCSR: A Federated Framework for Multi-Platform Cross-Domain Sequential Recommendation with Dual Contrastive Learning
COLING 2025
MHANet: Multi-scale Hybrid Attention Network for Auditory Attention Detection
IJCAI 2025
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction
IJCAI 2025
ListenNet: A Lightweight Spatio-Temporal Enhancement Nested Network for Auditory Attention Detection
IJCAI 2025
LLMScan: Causal Scan for LLM Misbehavior Detection
ICML 2025
Transplant Then Regenerate: A New Paradigm for Text Data Augmentation
EMNLP 2025
Can Large Language Models Understand Intermediate Representations in Compilers?
ICML 2025
DARNet: Dual Attention Refinement Network with Spatiotemporal Construction for Auditory Attention Detection
NIPS 2024
MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution
NIPS 2024
Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback
ACL 2024
Enhancing Code Generation Performance of Smaller Models by Distilling the Reasoning Ability of LLMs
COLING 2024
Tackling Long Code Search with Splitting, Encoding, and Aggregating
COLING 2024
NL2Formula: Generating Spreadsheet Formulas from Natural Language Queries
EACL 2024
CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code
EMNLP 2024
DBPNet: Dual-Branch Parallel Network with Temporal-Frequency Fusion for Auditory Attention Detection
IJCAI 2024
Heterogeneous Causal Metapath Graph Neural Network for Gene-Microbe-Disease Association Prediction
IJCAI 2024
Automatically Generated Summaries of Video Lectures May Enhance Studentsβ Learning Experience
ACL 2023
Uncovering Limitations in Text-to-Image Generation: A Contrastive Approach with Structured Semantic Alignment
EMNLP 2023
Accelerating Code Search with Deep Hashing and Code Classification
ACL 2022
RACE: Retrieval-augmented Commit Message Generation
EMNLP 2022
Exploring Representation-level Augmentation for Code Search
EMNLP 2022
CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees
EMNLP 2021
APIRecX: Cross-Library API Recommendation via Pre-Trained Language Model
EMNLP 2021
PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector
AAAI 2021
Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems
AAAI 2021
Intelligent Virtual Machine Provisioning in Cloud Computing
IJCAI 2020
Local Search with Efficient Automatic Configuration for Minimum Vertex Cover
IJCAI 2019
DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning
IJCAI 2017