Xin Guo
42 papers · 2013–2026 · 15 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (12) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (14) 🐣 Hot Topic Early Bird
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Conference Polyglot
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Academic Marathon
(12)
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Cross-Pollinator
(14)
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Mega-Team
(21)
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Keyword Collector
(164)
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Conference Pioneer
💎
Century Club
(35)
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Unstoppable
(5)
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Trend Setter
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Prolific Year
(11)
Conferences
AAAI (6)
JMLR (5)
ACL (4)
CVPR (4)
ICCV (4)
ICML (4)
ECCV (3)
EMNLP (2)
IJCAI (2)
NIPS (2)
WACV (2)
COLING (1)
MICCAI (1)
MIDL (1)
NAACL (1)
Top co-authors
Keywords
large language model
(5)
kernel methods
(4)
image restoration
(4)
medical imaging
(3)
reinforcement learning
(3)
multimodal learning
(3)
semi-supervised learning
(3)
zero-shot learning
(2)
vision-language model
(2)
semantic segmentation
(2)
multi-modal learning
(2)
reproducing kernel hilbert space
(2)
self-supervised learning
(2)
visual question answering
(2)
optimal transport
(2)
distributed learning
(2)
learning rate
(2)
episodic learning
(1)
feature learning
(1)
benchmark evaluation
(1)
Papers
Topological-Aware Regularization for Semi-Supervised Intracranial Aneurysm Vessel Segmentation
MIDL 2026
AgentGym2: Benchmarking Large Language Model Agents in De-Idealized Real-World Environments
ACL 2026
JurisBench: A Deep Benchmark for Assessing Large Language Models in Professional Legal Practice
ACL 2026
Counteracting the Matthew Effect in Self-Improvement of LVLMs through Head-Tail Re-balancing
ACL 2026
Enhancing Spatial Reasoning Through Visual and Textual Thinking
AAAI 2026
A Novel Fine-Tuned CLIP-OOD Detection Method with Double Loss Constraint Through Optimal Transport Semantic Alignment
AAAI 2026
Structure-based RNA Design by Step-wise Optimization of Latent Diffusion Model
AAAI 2026
FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models
NAACL 2025
VisFinEval: A Scenario-Driven Chinese Multimodal Benchmark for Holistic Financial Understanding
EMNLP 2025
Ophora: A Large-Scale Data-Driven Text-Guided Ophthalmic Surgical Video Generation Model
MICCAI 2025
Towards a Universal 3D Medical Multi-modality Generalization via Learning Personalized Invariant Representation
ICCV 2025
Structure-aware Semantic Discrepancy and Consistency for 3D Medical Image Self-supervised Learning
ICCV 2025
TopoTTA: Topology-Enhanced Test-Time Adaptation for Tubular Structure Segmentation
ICCV 2025
Kernel-based L_2-Boosting with Structure Constraints
JMLR 2025
AgentGym: Evaluating and Training Large Language Model-based Agents across Diverse Environments
ACL 2025
Efficient Network Automatic Relevance Determination
ICML 2025
SURE: Mutually Visible Objects and Self-generated Candidate Labels For Relation Extraction
COLING 2025
MLLM-LLaVA-FL: Multimodal Large Language Model Assisted Federated Learning
WACV 2025
SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery
CVPR 2024
Adaptive Meta-Learning Probabilistic Inference Framework for Long Sequence Prediction
AAAI 2024
POA: Pre-training Once for Models of All Sizes
ECCV 2024
Fine-Grained Scene Graph Generation via Sample-Level Bias Prediction
ECCV 2024
On the Asymptotic Distribution of the Minimum Empirical Risk
ICML 2024
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning
ICML 2024
Uncertainty-guided Learning for Improving Image Manipulation Detection
ICCV 2023
Simultaneously Short- and Long-Term Temporal Modeling for Semi-Supervised Video Semantic Segmentation
CVPR 2023
Learning Weather-General and Weather-Specific Features for Image Restoration Under Multiple Adverse Weather Conditions
CVPR 2023
Towards Efficient Pre-Trained Language Model via Feature Correlation Distillation
NIPS 2023
SiamTrans: Zero-Shot Multi-Frame Image Restoration with Pre-trained Siamese Transformers
AAAI 2022
Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods
AAAI 2022
Exploring Fourier Prior for Single Image Rain Removal
IJCAI 2022
Logarithmic Regret for Episodic Continuous-Time Linear-Quadratic Reinforcement Learning over a Finite-Time Horizon
JMLR 2022
Graph Neural Networks for Image Understanding Based on Multiple Cues: Group Emotion Recognition and Event Recognition as Use Cases
WACV 2020
Distributed Minimum Error Entropy Algorithms
JMLR 2020
The Buckley-Osthus model and the block preferential attachment model: statistical analysis and application
ICML 2020
Continual Learning Long Short Term Memory
EMNLP 2020
Accelerating CNN Training by Pruning Activation Gradients
ECCV 2020
Learning Mean-Field Games
NIPS 2019
Robust Asymmetric Bayesian Adaptive Matrix Factorization
IJCAI 2017
Distributed Learning with Regularized Least Squares
JMLR 2017
Sparsity and Error Analysis of Empirical Feature-Based Regularization Schemes
JMLR 2016
Robust Object Co-detection
CVPR 2013