Rong-Cheng Tu
12 papers · 2019–2026 · 5 venues · across top CS/AI venues
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (38) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver ⚡ Prolific Year · Productive
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Century Club · Bronze
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Learning Types · Machine Learning
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Computer Vision
(4)
Core AI
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image retrieval
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large language model
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unsupervised hashing
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diffusion model
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multimodal large language model
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label noise
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hash code
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text-to-image generation
(1)
graph clustering
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manifold learning
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supervised learning
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egocentric vision
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information retrieval
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deep hashing
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model distillation
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anomaly detection
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manifold structure
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knowledge distillation
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semantic hashing
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synthetic data generation
(1)
Papers
AD-FM: Multimodal LLMs for Anomaly Detection via Multi-Stage Reasoning and Fine-Grained Reward Optimization
AAAI 2026
CogniTrust: Cognitive Memory-Driven Verifiable Supervision for Robust Hashing
AAAI 2026
Lightning Fast Caching-based Parallel Denoising Prediction for Accelerating Talking Head Generation
AAAI 2026
A Survey on Efficient Large Language Model Training: From Data-centric Perspectives
ACL 2025
AsymRnR: Video Diffusion Transformers Acceleration with Asymmetric Reduction and Restoration
ICML 2025
Automatic Evaluation for Text-to-image Generation: Task-decomposed Framework, Distilled Training, and Meta-evaluation Benchmark
ACL 2025
Distribution-Consistency-Guided Multi-modal Hashing
AAAI 2025
MARK: Multi-agent Collaboration with Ranking Guidance for Text-attributed Graph Clustering
ACL 2025
Egocentric Video-Language Pretraining
NeurIPS 2022
Hashing based Efficient Inference for Image-Text Matching
ACL 2021
MLS3RDUH: Deep Unsupervised Hashing via Manifold based Local Semantic Similarity Structure Reconstructing
IJCAI 2020
Object Detection based Deep Unsupervised Hashing
IJCAI 2019