Wenhan Wang
10 papers · 2018–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (6) π Academic Marathon (7) π Renaissance Researcher (7) π Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(23)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Conference Pioneer
Conferences
NIPS (3)
ICLR (2)
AAAI (1)
ACL (1)
ACML (1)
ICCV (1)
NAACL (1)
Top co-authors
Keywords
large language model
(2)
domain adaptation
(1)
knowledge graph
(1)
language modeling
(1)
ridge regression
(1)
test-time adaptation
(1)
wavelet transform
(1)
efficient computing
(1)
class imbalance
(1)
message passing
(1)
source code
(1)
spectral analysis
(1)
fraud detection
(1)
graph signal processing
(1)
medical imaging
(1)
regret bound
(1)
contextual bandit
(1)
node classification
(1)
bandit algorithm
(1)
semantic segmentation
(1)
Papers
HSGraphAgent: Knowledge-Graph-Guided Large Language Models for Harmonized System Code Classification
ACL 2026
TopoTTA: Topology-Enhanced Test-Time Adaptation for Tubular Structure Segmentation
ICCV 2025
TestEval: Benchmarking Large Language Models for Test Case Generation
NAACL 2025
WaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets
AAAI 2024
BadEdit: Backdooring Large Language Models by Model Editing
ICLR 2024
Reward Imputation with Sketching for Contextual Batched Bandits
NIPS 2023
Decouple then Combine: A Simple and Effective Framework for Fraud Transaction Detection
ACML 2023
Integrating Tree Path in Transformer for Code Representation
NIPS 2021
Learning Intrinsic Sparse Structures within Long Short-Term Memory
ICLR 2018
Navigating with Graph Representations for Fast and Scalable Decoding of Neural Language Models
NIPS 2018