Xin Gao

ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch ACL 2026 Spatial-Frequency Spiking Neural Network for Underwater Object Detection AAAI 2026 BioTool: A Comprehensive Tool-Calling Dataset for Enhancing Biomedical Capabilities of Large Language Models ACL 2026 Tracing the Roots: A Multi-Agent Framework for Uncovering Data Lineage in Post-Training LLMs ACL 2026 Middo: Model-Informed Dynamic Data Optimization for Enhanced LLM Fine-Tuning via Closed-Loop Learning EMNLP 2025 BayeSMM: Robust Deep Combined Computing Tackling Heavy-tailed Distribution in Medical Images MICCAI 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 A Causal-holistic Adaptive Intervention Network for Tailoring Automated Coronary Artery Disease Diagnosis to Individual Patients MICCAI 2025 Dark-ISP: Enhancing RAW Image Processing for Low-Light Object Detection ICCV 2025 A Trusted Lesion-assessment Network for Interpretable Diagnosis of Coronary Artery Disease in Coronary CT Angiography AAAI 2025 Animate Anyone 2: High-Fidelity Character Image Animation with Environment Affordance ICCV 2025 MetaLadder: Ascending Mathematical Solution Quality via Analogical-Problem Reasoning Transfer EMNLP 2025 CFP-Gen: Combinatorial Functional Protein Generation via Diffusion Language Models ICML 2025 MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion ACL 2025 A Strategic Coordination Framework of Small LMs Matches Large LMs in Data Synthesis ACL 2025 SafeClick: Error-Tolerant Interactive Segmentation of Any Medical Volumes via Hierarchical Expert Consensus MICCAI 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 Can Prompts Rewind Time for LLMs? Evaluating the Effectiveness of Prompted Knowledge Cutoffs EMNLP 2025 EG-Net: An Edge-Guided Network for Rigid Registration of Laparoscopic Low-Overlap Point Clouds MICCAI 2025 DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation MICCAI 2024 CausalStock: Deep End-to-end Causal Discovery for News-driven Multi-stock Movement Prediction NIPS 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 Combating Label Sparsity in Short Text Topic Modeling via Nearest Neighbor Augmentation ACL 2024 Efficient Multi-scale Network with Learnable Discrete Wavelet Transform for Blind Motion Deblurring CVPR 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 Evidential Concept Embedding Models: Towards Reliable Concept Explanations for Skin Disease Diagnosis MICCAI 2024 Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation ICML 2024 Anatomic-constrained Medical Image Synthesis via Physiological Density Sampling MICCAI 2024 Learning towards Selective Data Augmentation for Dialogue Generation AAAI 2023 Towards Efficient and Domain-Agnostic Evasion Attack with High-Dimensional Categorical Inputs AAAI 2023 Enhancing Neural Topic Model with Multi-Level Supervisions from Seed Words ACL 2023 Improving the Robustness of Summarization Systems with Dual Augmentation ACL 2023 Unsupervised Mitigating Gender Bias by Character Components: A Case Study of Chinese Word Embedding NAACL 2022 Training and typological bias in ASR performance for world Englishes INTERSPEECH 2022 Prototype-Anchored Learning for Learning with Imperfect Annotations ICML 2022 Scientific Paper Extractive Summarization Enhanced by Citation Graphs EMNLP 2022 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 Towards Improving Faithfulness in Abstractive Summarization NIPS 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 A Data-Centric Framework for Composable NLP Workflows EMNLP 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 One-sample Guided Object Representation Disassembling NIPS 2020 Distance Metric Learning with Joint Representation Diversification ICML 2020 Learning To Stop While Learning To Predict ICML 2020 RNA Secondary Structure Prediction By Learning Unrolled Algorithms ICLR 2020 Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data AAAI 2019 Multimodal Machine Learning for Automated ICD Coding MLHC 2019 Confidence Weighted Multitask Learning AAAI 2019 Approximate Kernel Selection with Strong Approximate Consistency AAAI 2019 An Online Intelligent Visual Interaction System IJCAI 2019 Convergence Analysis of Gradient Descent for Eigenvector Computation IJCAI 2018 On Truly Block Eigensolvers via Riemannian Optimization AISTATS 2018 Bandit Online Learning on Graphs via Adaptive Optimization IJCAI 2018 Social Image Parsing by Cross-Modal Data Refinement IJCAI 2015 Support vector machines with indefinite kernels ACML 2014