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Jionglong Su

16 papers · 2019–2026 · 8 conferences · across top CS/AI conferences

Achievements

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+8 more ↓ πŸƒ Academic Marathon (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🐝 Cross-Pollinator (10)
πŸ—ΊοΈ Taxonomy Completionist (36) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸ‘₯ Mega-Team (21) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (73) πŸ’Ž Century Club (15) ⚑ Prolific Year (10)

Conferences

AAAI (4) MICCAI (4) EMNLP (3) ACL (1) CVPR (1) EACL (1) IJCNLP (1) WACV (1)

Papers

DeepGB-TB: A Risk-Balanced Cross-Attention Gradient-Boosted Convolutional Network for Rapid, Interpretable Tuberculosis Screening AAAI 2026 Toward Modality Gap: Vision Prototype Learning for Weakly-supervised Semantic Segmentation with CLIP AAAI 2025 KD-MSLRT: Lightweight Sign Language Recognition Model Based on Mediapipe and 3D to 1D Knowledge Distillation AAAI 2025 MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation ACL 2025 Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding CVPR 2025 UniMath-CoT: A Unified Framework for Multimodal Mathematical Reasoning with Re-Inference Affirmation EMNLP 2025 MedFact: A Large-scale Chinese Dataset for Evidence-based Medical Fact-checking of LLM Responses EMNLP 2025 Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation AAAI 2025 A novel Fourier Adjacency Transformer for advanced EEG emotion recognition MICCAI 2025 EndoFlow-SLAM: Real-Time Endoscopic SLAM with Flow-Constrained Gaussian Splatting MICCAI 2025 MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset MICCAI 2025 FinBPM: A Framework for Portfolio Management-based Financial Investor Behavior Perception Model EACL 2024 Distortion-Disentangled Contrastive Learning WACV 2024 Polyp-Mamba: Polyp Segmentation with Visual Mamba MICCAI 2024 News2vec: News Network Embedding with Subnode Information EMNLP 2019 News2vec: News Network Embedding with Subnode Information IJCNLP 2019