Yuhang Wu
20 papers · 2019–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (9) π Interdisciplinary Bridge π Conference Polyglot (9) π Academic Marathon (6) πΊοΈ Taxonomy Completionist (34)
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Taxonomy Completionist
(34)
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Keyword Pioneer
π
Grand Slam
π§¬
Topic Evolution
π₯
Mega-Team
(32)
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Century Club
(18)
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Prolific Year
(7)
ποΈ
Keyword Collector
(58)
Conferences
ACL (5)
ICML (4)
AAAI (2)
COLING (2)
EMNLP (2)
SEMEVAL (2)
ICCV (1)
ICLR (1)
NIPS (1)
Top co-authors
Keywords
text classification
(3)
adversarial attack
(3)
reinforcement learning
(3)
ensemble learning
(2)
adversarial example detection
(2)
multi-task learning
(2)
commonsense validation
(2)
data sampling
(2)
large language model
(2)
named entity recognition
(2)
preference optimization
(1)
model evaluation
(1)
prompt engineering
(1)
question answering
(1)
relation extraction
(1)
domain adaptation
(1)
label noise
(1)
class imbalance
(1)
machine learning security
(1)
attention mechanism
(1)
Papers
Optimizing RAG Rerankers with LLM Feedback via Reinforcement Learning
ACL 2026
Unleashing Spatial Reasoning in Multimodal Large Language Models via Textual Representation Guided Reasoning
ACL 2026
AlignMMBench: Evaluating Chinese Multimodal Alignment in Large Vision-Language Models
ACL 2025
UTF: Under-trained Tokens as Fingerprints ββ a Novel Approach to LLM Identification
ACL 2025
BAME: Block-Aware Mask Evolution for Efficient N:M Sparse Training
ICML 2025
Benchmarking Abstract and Reasoning Abilities Through A Theoretical Perspective
ICML 2025
Sugar-Coated Poison: Benign Generation Unlocks Jailbreaking
EMNLP 2025
Uncertainty Quantification for LLM-Based Survey Simulations
ICML 2025
Temporal Flexibility in Spiking Neural Networks: Towards Generalization Across Time Steps and Deployment Friendliness
ICLR 2025
Spiking Token Mixer: An event-driven friendly Former structure for spiking neural networks
NIPS 2024
ChatMusician: Understanding and Generating Music Intrinsically with LLM
ACL 2024
Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models
ICML 2024
Multi-Centroid Representation Network for Domain Adaptive Person Re-ID
AAAI 2022
Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions
AAAI 2021
Adversarial Example Detection Using Latent Neighborhood Graph
ICCV 2021
Warren at SemEval-2020 Task 4: ALBERT and Multi-Task Learning for Commonsense Validation
COLING 2020
Warren at SemEval-2020 Task 4: ALBERT and Multi-Task Learning for Commonsense Validation
SEMEVAL 2020
Lee at SemEval-2020 Task 5: ALBERT Model Based on the Maximum Ensemble Strategy and Different Data Sampling Methods for Detecting Counterfactual Statements
SEMEVAL 2020
Lee at SemEval-2020 Task 5: ALBERT Model Based on the Maximum Ensemble Strategy and Different Data Sampling Methods for Detecting Counterfactual Statements
COLING 2020
YNU-junyi in BioNLP-OST 2019: Using CNN-LSTM Model with Embeddings for SeeDev Binary Event Extraction
EMNLP 2019