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Yuhang Wu

18 papers · 2019–2026 · 8 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+7 more ↓ πŸ—ΊοΈ Taxonomy Completionist (47) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ‘₯ Mega-Team Β· Squad
🧬 Topic Evolution πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (95) ⚑ Prolific Year Β· Productive 🌈 Renaissance Researcher (7) πŸ“ˆ Trend Setter πŸ’Ž Century Club Β· Bronze

Venues

ACL (5) ICML (4) AAAI (2) EMNLP (2) SemEval (2) ICCV (1) ICLR (1) NeurIPS (1)

Top co-authors

Rongrong Ji (3) Shi Gu (2) Hao Yang (2) Xiawu Zheng (2) Junyi Li (2) Bin Wang (2) Kangrui Du (2) Shikuang Deng (2) Ge Zhang (1) Yishu Yin (1)

Research topics

Artificial Intelligence (14) Core AI (13) Machine Learning (12) Deep Learning (9) Learning Types Β· Machine Learning (6) Application Areas (5) Architectures (4) Core Methods (3) Learning Types Β· Deep Learning (3) Computer Vision (2) Natural Language Processing (2) Techniques (2) Computer Science (1) Healthcare & Medicine (1) Interdisciplinary (1)

Keywords

large language model (4) adversarial attack (3) event-driven computing (2) spiking neural network (2) text classification (2) reinforcement learning (2) named entity recognition (2) adversarial example detection (2) energy efficiency (2) prompt engineering (1) question answering (1) relation extraction (1) ensemble learning (1) model evaluation (1) multi-task learning (1) attention mechanism (1) sequential decision making (1) domain adaptation (1) semantic representation (1) person re-identification (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 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 Temporal Flexibility in Spiking Neural Networks: Towards Generalization Across Time Steps and Deployment Friendliness ICLR 2025 Uncertainty Quantification for LLM-Based Survey Simulations ICML 2025 UTF: Under-trained Tokens as Fingerprints β€”β€” a Novel Approach to LLM Identification ACL 2025 ChatMusician: Understanding and Generating Music Intrinsically with LLM ACL 2024 Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models ICML 2024 Spiking Token Mixer: An event-driven friendly Former structure for spiking neural networks NeurIPS 2024 Multi-Centroid Representation Network for Domain Adaptive Person Re-ID AAAI 2022 Adversarial Example Detection Using Latent Neighborhood Graph ICCV 2021 Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions AAAI 2021 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 Warren at SemEval-2020 Task 4: ALBERT and Multi-Task Learning for Commonsense Validation SemEval 2020 YNU-junyi in BioNLP-OST 2019: Using CNN-LSTM Model with Embeddings for SeeDev Binary Event Extraction EMNLP 2019