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Qiang Xu

BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion
DeepSeq: Deep Sequential Circuit Learning
Direct inversion: Boosting diffusion-based editing with 3 lines of code
HiBug: on human-interpretable model debug
Mma-diffusion: Multimodal attack on diffusion models
Multi-patch prediction: Adapting llms for time series representation learning
Are transformers effective for time series forecasting?
Deepgate2: Functionality-aware circuit representation learning
Diffguard: Semantic mismatch-guided out-of-distribution detection using pre-trained diffusion models
FITS: Modeling time series with $10 k $ parameters
Fraug: Frequency domain augmentation for time series forecasting
HumanSD: A native skeleton-guided diffusion model for human image generation
Magicdrive: Street view generation with diverse 3d geometry control
On EDA-Driven Learning for SAT Solving
Satformer: Transformer-based unsat core learning
Towards Robust Deep Neural Networks Against Design-Time and Run-Time Failures
Deeptpi: Test point insertion with deep reinforcement learning
Out-of-distribution detection with semantic mismatch under masking
Scinet: Time series modeling and forecasting with sample convolution and interaction

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