Yu Shi
25 papers · 2019–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (11) π£ Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(50)
π
Conference Polyglot
(11)
π
Academic Marathon
(6)
π§¬
Topic Evolution
π₯
Mega-Team
(25)
ποΈ
Keyword Collector
(127)
π
Conference Pioneer
π
Century Club
(22)
π₯
Unstoppable
(5)
π
Trend Setter
β‘
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)
Top co-authors
Keywords
multimodal learning
(3)
gradient boosting
(2)
video question answering
(2)
language model
(2)
efficient computing
(2)
zero-shot learning
(2)
image segmentation
(1)
semantic segmentation
(1)
representation learning
(1)
anomaly detection
(1)
object detection
(1)
self-supervised learning
(1)
medical imaging
(1)
weakly supervised learning
(1)
text generation
(1)
transfer learning
(1)
question answering
(1)
speech recognition
(1)
few-shot learning
(1)
machine translation
(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