Xin Gao
68 papers · 2014–2026 · 16 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (103) π Conference Polyglot Β· Gold π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Grand Slam
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Dynamic Duo
(10)
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Triple Crown
π§¬
Topic Evolution
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Deep Specialist
(10)
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Keyword Champion
(2)
π§
Keyword Pioneer
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Conference Pioneer
π₯
Unstoppable Β· Bronze
β
The Questioner
β‘
Prolific Year Β· Prolific
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Century Club Β· Silver
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Renaissance Researcher
(10)
ποΈ
Keyword Collector
(304)
Venues
Top co-authors
Research topics
Machine Learning
(40)
Deep Learning
(24)
Artificial Intelligence
(21)
Learning Types Β· Machine Learning
(21)
Core AI
(20)
Core Methods
(17)
Natural Language Processing
(15)
Computer Vision
(11)
Application Areas
(10)
Optimization & Theory
(10)
Learning Types Β· Deep Learning
(9)
Resources & Methods
(8)
Architectures
(7)
Models
(7)
Generation
(6)
Keywords
large language model
(7)
representation learning
(3)
data augmentation
(3)
image generation
(3)
adversarial learning
(3)
mathematical reasoning
(3)
language model
(2)
multi-armed bandit
(2)
latent space
(2)
deep learning
(2)
multi-task learning
(2)
feature learning
(2)
document representation
(2)
text generation
(2)
online learning
(2)
knowledge distillation
(2)
convergence analysis
(2)
chain-of-thought reasoning
(2)
automatic speech recognition
(2)
label noise
(2)
Papers
BioTool: A Comprehensive Tool-Calling Dataset for Enhancing Biomedical Capabilities of Large Language Models
ACL 2026
ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch
ACL 2026
GIFT: Global Irreplaceability Frame Targeting for Efficient Video Understanding
CVPR 2026
HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images
CVPR 2026
MacTok: Robust Continuous Tokenization for Image Generation
CVPR 2026
Spatial-Frequency Spiking Neural Network for Underwater Object Detection
AAAI 2026
Tracing the Roots: A Multi-Agent Framework for Uncovering Data Lineage in Post-Training LLMs
ACL 2026
A Causal-holistic Adaptive Intervention Network for Tailoring Automated Coronary Artery Disease Diagnosis to Individual Patients
MICCAI 2025
Animate Anyone 2: High-Fidelity Character Image Animation with Environment Affordance
ICCV 2025
A Strategic Coordination Framework of Small LMs Matches Large LMs in Data Synthesis
ACL 2025
A Trusted Lesion-assessment Network for Interpretable Diagnosis of Coronary Artery Disease in Coronary CT Angiography
AAAI 2025
BayeSMM: Robust Deep Combined Computing Tackling Heavy-tailed Distribution in Medical Images
MICCAI 2025
Can Prompts Rewind Time for LLMs? Evaluating the Effectiveness of Prompted Knowledge Cutoffs
EMNLP 2025
CFP-Gen: Combinatorial Functional Protein Generation via Diffusion Language Models
ICML 2025
CipherBank: Exploring the Boundary of LLM Reasoning Capabilities through Cryptography Challenge
ACL 2025
Dark-ISP: Enhancing RAW Image Processing for Low-Light Object Detection
ICCV 2025
Deep Incomplete Multi-view Learning via Cyclic Permutation of VAEs
ICLR 2025
DRESSing Up LLM: Efficient Stylized Question-Answering via Style Subspace Editing
ICLR 2025
EG-Net: An Edge-Guided Network for Rigid Registration of Laparoscopic Low-Overlap Point Clouds
MICCAI 2025
MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion
ACL 2025
MetaLadder: Ascending Mathematical Solution Quality via Analogical-Problem Reasoning Transfer
EMNLP 2025
Middo: Model-Informed Dynamic Data Optimization for Enhanced LLM Fine-Tuning via Closed-Loop Learning
EMNLP 2025
Multi-modal MRI Translation via Evidential Regression and Distribution Calibration
MICCAI 2025
SafeClick: Error-Tolerant Interactive Segmentation of Any Medical Volumes via Hierarchical Expert Consensus
MICCAI 2025
Anatomic-constrained Medical Image Synthesis via Physiological Density Sampling
MICCAI 2024
CausalStock: Deep End-to-end Causal Discovery for News-driven Multi-stock Movement Prediction
NeurIPS 2024
CharacterEval: A Chinese Benchmark for Role-Playing Conversational Agent Evaluation
ACL 2024
Combating Label Sparsity in Short Text Topic Modeling via Nearest Neighbor Augmentation
ACL 2024
DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation
MICCAI 2024
Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion Deblurring
CVPR 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
MBA-Net: SAM-driven Bidirectional Aggregation Network for Ovarian Tumor Segmentation
MICCAI 2024
Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation
ICML 2024
PsychoGAT: A Novel Psychological Measurement Paradigm through Interactive Fiction Games with LLM Agents
ACL 2024
Spatio-temporal Contrast Network for Data-efficient Learning of Coronary Artery Disease in Coronary CT Angiography
MICCAI 2024
Enhancing Neural Topic Model with Multi-Level Supervisions from Seed Words
ACL 2023
Improving the Robustness of Summarization Systems with Dual Augmentation
ACL 2023
Learning towards Selective Data Augmentation for Dialogue Generation
AAAI 2023
Towards Efficient and Domain-Agnostic Evasion Attack with High-Dimensional Categorical Inputs
AAAI 2023
Language-specific Effects on Automatic Speech Recognition Errors for World Englishes
COLING 2022
Learning Towards The Largest Margins
ICLR 2022
Prototype-Anchored Learning for Learning with Imperfect Annotations
ICML 2022
Scientific Paper Extractive Summarization Enhanced by Citation Graphs
EMNLP 2022
Towards Improving Faithfulness in Abstractive Summarization
NeurIPS 2022
Training and typological bias in ASR performance for world Englishes
Interspeech 2022
Unsupervised Mitigating Gender Bias by Character Components: A Case Study of Chinese Word Embedding
NAACL 2022
Weakly Supervised High-Fidelity Clothing Model Generation
CVPR 2022
Asymmetric Loss Functions for Learning with Noisy Labels
ICML 2021
GRASP: Generic Framework for Health Status Representation Learning Based on Incorporating Knowledge from Similar Patients
AAAI 2021
AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration
AAAI 2020
A Data-Centric Framework for Composable NLP Workflows
EMNLP 2020
ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context
AAAI 2020
Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN
CVPR 2020
Distance Metric Learning with Joint Representation Diversification
ICML 2020
Learning To Stop While Learning To Predict
ICML 2020
One-sample Guided Object Representation Disassembling
NeurIPS 2020
RNA Secondary Structure Prediction By Learning Unrolled Algorithms
ICLR 2020
An Online Intelligent Visual Interaction System
IJCAI 2019
Approximate Kernel Selection with Strong Approximate Consistency
AAAI 2019
Confidence Weighted Multitask Learning
AAAI 2019
Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data
AAAI 2019
Multimodal Machine Learning for Automated ICD Coding
MLHC 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