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Yu Shi

25 papers · 2019–2026 · 11 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ πŸƒ Academic Marathon (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) 🐣 Hot Topic Early Bird
πŸ—ΊοΈ Taxonomy Completionist (50) 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (6) 🧬 Topic Evolution πŸ‘₯ Mega-Team (25) πŸ—ƒοΈ Keyword Collector (127) πŸš€ Conference Pioneer πŸ’Ž Century Club (22) πŸ”₯ Unstoppable (5) πŸ“ˆ Trend Setter ⚑ Prolific Year (7)

Conferences

AAAI (6) IJCAI (3) MICCAI (3) NIPS (3) AACL (2) CVPR (2) ICML (2) ACL (1) ICCV (1) INTERSPEECH (1) NAACL (1)

Papers

Kronos: A Foundation Model for the Language of Financial Markets AAAI 2026 UM-Text: A Unified Multimodal Model for Image Understanding and Visual Text Editing AAAI 2026 Navigating the Alpha Jungle: An LLM-Powered MCTS Framework for Formulaic Alpha Factor Mining AAAI 2026 PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-Contrast CT Scans MICCAI 2025 High-Dimensional Tensor Regression With Oracle Properties ICML 2025 Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations ICML 2024 Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning NIPS 2024 Deep Semantic Graph Transformer for Multi-View 3D Human Pose Estimation AAAI 2024 Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration CVPR 2024 Improved Esophageal Varices Assessment from Non-Contrast CT Scans MICCAI 2024 LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning MICCAI 2024 i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data NAACL 2024 CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans ICCV 2023 Unreliable Partial Label Learning with Recursive Separation IJCAI 2023 i-Code: An Integrative and Composable Multimodal Learning Framework AAAI 2023 Efficient End-to-End Video Question Answering with Pyramidal Multimodal Transformer AAAI 2023 Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization ACL 2023 Devil Is in the Queries: Advancing Mask Transformers for Real-World Medical Image Segmentation and Out-of-Distribution Localization CVPR 2023 Learning From Biased Soft Labels NIPS 2023 Multilevel Hierarchical Network with Multiscale Sampling for Video Question Answering IJCAI 2022 Quantized Training of Gradient Boosting Decision Trees NIPS 2022 MaP: A Matrix-based Prediction Approach to Improve Span Extraction in Machine Reading Comprehension AACL 2020 Discriminative Transfer Learning for Optimizing ASR and Semantic Labeling in Task-Oriented Spoken Dialog INTERSPEECH 2020 Mixed-Lingual Pre-training for Cross-lingual Summarization AACL 2020 Gradient Boosting with Piece-Wise Linear Regression Trees IJCAI 2019