← Authors

Xin Gao

62 papers · 2014–2026 · 16 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (11) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (10) 🌈 Renaissance Researcher (10) πŸ—ΊοΈ Taxonomy Completionist (17) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (16) 🧬 Topic Evolution πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (253) ⚑ Prolific Year (8) πŸš€ Conference Pioneer πŸ’Ž Century Club (61) πŸ”₯ Unstoppable (8) πŸ“ˆ Trend Setter ❓ The Questioner

Conferences

AAAI (10) MICCAI (10) ACL (9) ICML (6) EMNLP (5) ICLR (4) IJCAI (4) CVPR (3) NIPS (3) ICCV (2) ACML (1) AISTATS (1) COLING (1) INTERSPEECH (1) MLHC (1) NAACL (1)

Top co-authors

Yu Li (8) Yasha Wang (7) Rui Yan (7) Xiangliang Zhang (6) Xiuying Chen (5) Yang Lin (5) Xinyu Ma (5) Mingzhe Li (5) Xu Chu (5) Qizhi Pei (5)

Research topics

Statistics (1)

Keywords

large language model (4) data augmentation (3) adversarial learning (3) representation learning (3) mathematical reasoning (3) electronic medical record (2) feature learning (2) world english (2) multi-task learning (2) multi-armed bandit (2) language model (2) document representation (2) neural network (2) online learning (2) knowledge distillation (2) label noise (2) convergence analysis (2) automatic speech recognition (2) chinese language (2) self-attention mechanism (1)

Papers

Spatial-Frequency Spiking Neural Network for Underwater Object Detection AAAI 2026
A Strategic Coordination Framework of Small LMs Matches Large LMs in Data Synthesis ACL 2025
CipherBank: Exploring the Boundary of LLM Reasoning Capabilities through Cryptography Challenge ACL 2025
Multi-modal MRI Translation via Evidential Regression and Distribution Calibration MICCAI 2025
EG-Net: An Edge-Guided Network for Rigid Registration of Laparoscopic Low-Overlap Point Clouds MICCAI 2025
MetaLadder: Ascending Mathematical Solution Quality via Analogical-Problem Reasoning Transfer EMNLP 2025
Can Prompts Rewind Time for LLMs? Evaluating the Effectiveness of Prompted Knowledge Cutoffs EMNLP 2025
DRESSing Up LLM: Efficient Stylized Question-Answering via Style Subspace Editing ICLR 2025
Middo: Model-Informed Dynamic Data Optimization for Enhanced LLM Fine-Tuning via Closed-Loop Learning EMNLP 2025
SafeClick: Error-Tolerant Interactive Segmentation of Any Medical Volumes via Hierarchical Expert Consensus MICCAI 2025
A Trusted Lesion-assessment Network for Interpretable Diagnosis of Coronary Artery Disease in Coronary CT Angiography AAAI 2025
Dark-ISP: Enhancing RAW Image Processing for Low-Light Object Detection ICCV 2025
Animate Anyone 2: High-Fidelity Character Image Animation with Environment Affordance ICCV 2025
CFP-Gen: Combinatorial Functional Protein Generation via Diffusion Language Models ICML 2025
A Causal-holistic Adaptive Intervention Network for Tailoring Automated Coronary Artery Disease Diagnosis to Individual Patients MICCAI 2025
Deep Incomplete Multi-view Learning via Cyclic Permutation of VAEs ICLR 2025
MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion ACL 2025
BayeSMM: Robust Deep Combined Computing Tackling Heavy-tailed Distribution in Medical Images MICCAI 2025
Combating Label Sparsity in Short Text Topic Modeling via Nearest Neighbor Augmentation ACL 2024
Spatio-temporal Contrast Network for Data-efficient Learning of Coronary Artery Disease in Coronary CT Angiography MICCAI 2024
MBA-Net: SAM-driven Bidirectional Aggregation Network for Ovarian Tumor Segmentation MICCAI 2024
Anatomic-constrained Medical Image Synthesis via Physiological Density Sampling MICCAI 2024
DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation MICCAI 2024
Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis MICCAI 2024
Masked Thought: Simply Masking Partial Reasoning Steps Can Improve Mathematical Reasoning Learning of Language Models ACL 2024
CharacterEval: A Chinese Benchmark for Role-Playing Conversational Agent Evaluation ACL 2024
PsychoGAT: A Novel Psychological Measurement Paradigm through Interactive Fiction Games with LLM Agents ACL 2024
Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion Deblurring CVPR 2024
CausalStock: Deep End-to-end Causal Discovery for News-driven Multi-stock Movement Prediction NIPS 2024
Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation ICML 2024
Learning towards Selective Data Augmentation for Dialogue Generation AAAI 2023
Enhancing Neural Topic Model with Multi-Level Supervisions from Seed Words ACL 2023
Towards Efficient and Domain-Agnostic Evasion Attack with High-Dimensional Categorical Inputs AAAI 2023
Improving the Robustness of Summarization Systems with Dual Augmentation ACL 2023
Weakly Supervised High-Fidelity Clothing Model Generation CVPR 2022
Language-specific Effects on Automatic Speech Recognition Errors for World Englishes COLING 2022
Learning Towards The Largest Margins ICLR 2022
Scientific Paper Extractive Summarization Enhanced by Citation Graphs EMNLP 2022
Unsupervised Mitigating Gender Bias by Character Components: A Case Study of Chinese Word Embedding NAACL 2022
Towards Improving Faithfulness in Abstractive Summarization NIPS 2022
Training and typological bias in ASR performance for world Englishes INTERSPEECH 2022
Prototype-Anchored Learning for Learning with Imperfect Annotations ICML 2022
GRASP: Generic Framework for Health Status Representation Learning Based on Incorporating Knowledge from Similar Patients AAAI 2021
Asymmetric Loss Functions for Learning with Noisy Labels ICML 2021
Learning To Stop While Learning To Predict ICML 2020
AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration AAAI 2020
ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context AAAI 2020
Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN CVPR 2020
A Data-Centric Framework for Composable NLP Workflows EMNLP 2020
RNA Secondary Structure Prediction By Learning Unrolled Algorithms ICLR 2020
One-sample Guided Object Representation Disassembling NIPS 2020
Distance Metric Learning with Joint Representation Diversification ICML 2020
An Online Intelligent Visual Interaction System IJCAI 2019
Confidence Weighted Multitask Learning AAAI 2019
Multimodal Machine Learning for Automated ICD Coding MLHC 2019
Approximate Kernel Selection with Strong Approximate Consistency AAAI 2019
Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data AAAI 2019
Bandit Online Learning on Graphs via Adaptive Optimization IJCAI 2018
Convergence Analysis of Gradient Descent for Eigenvector Computation IJCAI 2018
On Truly Block Eigensolvers via Riemannian Optimization AISTATS 2018
Social Image Parsing by Cross-Modal Data Refinement IJCAI 2015
Support vector machines with indefinite kernels ACML 2014