Shengxi Li
13 papers · 2020–2026 · 6 venues · across top CS/AI venues
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Deep Learning
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Machine Learning
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Learning Types Β· Machine Learning
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Learning Types Β· Deep Learning
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Keywords
generative adversarial network
(3)
image restoration
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mode collapse
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diffusion model
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distribution matching
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neural network
(2)
probabilistic modeling
(1)
image generation
(1)
langevin dynamics
(1)
optimal transport
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knowledge distillation
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multimodal learning
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image compression
(1)
image denoising
(1)
visual question answering
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multi-task learning
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kernel estimation
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markov chain monte carlo
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time series forecasting
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instruction tuning
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Papers
Burst Image Quality Assessment: A New Benchmark and Unified Framework for Multiple Downstream Tasks
AAAI 2026
Dynamic Semantic Tokenization for Time Series via Elastic Sampling on Physics-aware Perception
AAAI 2026
Collateral Circulation guided Multi-modality Fusion Network for Postoperative Infarct Prediction
MICCAI 2025
InstructOCR: Instruction Boosting Scene Text Spotting
AAAI 2025
Spherical Manifold Guided Diffusion Model for Panoramic Image Generation
CVPR 2025
Spherical-Nested Diffusion Model for Panoramic Image Outpainting
ICML 2025
A Dynamic Kernel Prior Model for Unsupervised Blind Image Super-Resolution
CVPR 2024
Causal Context Adjustment Loss for Learned Image Compression
NeurIPS 2024
Enhancing Quality of Compressed Images by Mitigating Enhancement Bias Towards Compression Domain
CVPR 2024
Neural Characteristic Function Learning for Conditional Image Generation
ICCV 2023
Does Text Attract Attention on E-Commerce Images: A Novel Saliency Prediction Dataset and Method
CVPR 2022
Reciprocal Adversarial Learning via Characteristic Functions
NeurIPS 2020
Solving General Elliptical Mixture Models through an Approximate Wasserstein Manifold
AAAI 2020