Si Wu

Refinement Contrastive Learning of Cell–Gene Associations for Unsupervised Cell Type Identification AAAI 2026 Uncovering Visual-Semantic Psycholinguistic Properties from the Distributional Structure of Text Embedding Space ACL 2025 Self-Correcting Robot Manipulation via Gaussian-Splatted Foresight AAAI 2025 Discrete Prior-Based Temporal-Coherent Content Prediction for Blind Face Video Restoration AAAI 2025 3DHumanEdit: Multi-modal Body Part-aware Conditioning Information Integration for 3D Human Manipulation AAAI 2025 Dynamic Content Prediction with Motion-aware Priors for Blind Face Video Restoration CVPR 2025 Task-aware Cross-modal Feature Refinement Transformer with Large Language Models for Visual Grounding CVPR 2025 RetouchGPT: LLM-based Interactive High-Fidelity Face Retouching via Imperfection Prompting AAAI 2025 SpotDiff: Spatial Gene Expression Imputation Diffusion with Single-Cell RNA Sequencing Data Integration AAAI 2025 To Learn or Not to Learn, That is the Question — A Feature-Task Dual Learning Model of Perceptual Learning NIPS 2024 The motion planning neural circuit in goal-directed navigation as Lie group operator search NIPS 2024 RetouchFormer: Semi-supervised High-Quality Face Retouching Transformer with Prior-Based Selective Self-Attention AAAI 2024 Relational Matching for Weakly Semi-Supervised Oriented Object Detection CVPR 2024 AttriHuman-3D: Editable 3D Human Avatar Generation with Attribute Decomposition and Indexing CVPR 2024 Learning Degradation-unaware Representation with Prior-based Latent Transformations for Blind Face Restoration CVPR 2024 Text-conditional Attribute Alignment across Latent Spaces for 3D Controllable Face Image Synthesis CVPR 2024 VRetouchEr: Learning Cross-frame Feature Interdependence with Imperfection Flow for Face Retouching in Videos CVPR 2024 SCTrans: Multi-scale scRNA-seq Sub-vector Completion Transformer for Gene-selective Cell Type Annotation IJCAI 2024 A differentiable brain simulator bridging brain simulation and brain-inspired computing ICLR 2024 Composition and Deformance: Measuring Imageability with a Text-to-Image Model ACL 2023 Slow and Weak Attractor Computation Embedded in Fast and Strong E-I Balanced Neural Dynamics NIPS 2023 Learning and processing the ordinal information of temporal sequences in recurrent neural circuits NIPS 2023 A Recurrent Neural Circuit Mechanism of Temporal-scaling Equivariant Representation NIPS 2023 Neural Sampling in Hierarchical Exponential-family Energy-based Models NIPS 2023 Text-Guided Unsupervised Latent Transformation for Multi-Attribute Image Manipulation CVPR 2023 Semi-Supervised Stereo-Based 3D Object Detection via Cross-View Consensus CVPR 2023 Blemish-Aware and Progressive Face Retouching With Limited Paired Data CVPR 2023 Exploring Intra-Class Variation Factors With Learnable Cluster Prompts for Semi-Supervised Image Synthesis CVPR 2023 Translation-equivariant Representation in Recurrent Networks with a Continuous Manifold of Attractors NIPS 2022 Adaptation Accelerating Sampling-based Bayesian Inference in Attractor Neural Networks NIPS 2022 SphericGAN: Semi-Supervised Hyper-Spherical Generative Adversarial Networks for Fine-Grained Image Synthesis CVPR 2022 Oscillatory Tracking of Continuous Attractor Neural Networks Account for Phase Precession and Procession of Hippocampal Place Cells NIPS 2022 High Fidelity GAN Inversion via Prior Multi-Subspace Feature Composition AAAI 2021 Semi-Supervised Single-Stage Controllable GANs for Conditional Fine-Grained Image Generation ICCV 2021 Scalable Font Reconstruction with Dual Latent Manifolds EMNLP 2021 Noisy Adaptation Generates Lévy Flights in Attractor Neural Networks NIPS 2021 Mask-Embedded Discriminator With Region-Based Semantic Regularization for Semi-Supervised Class-Conditional Image Synthesis CVPR 2021 Regularizing Discriminative Capability of CGANs for Semi-Supervised Generative Learning CVPR 2020 An Attention-driven Two-stage Clustering Method for Unsupervised Person Re-Identification ECCV 2020 Model Adaptation: Unsupervised Domain Adaptation Without Source Data CVPR 2020 Push-pull Feedback Implements Hierarchical Information Retrieval Efficiently NIPS 2019 Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification CVPR 2019 Enhancing TripleGAN for Semi-Supervised Conditional Instance Synthesis and Classification CVPR 2019 Improving representation learning in autoencoders via multidimensional interpolation and dual regularizations IJCAI 2019 A Normative Theory for Causal Inference and Bayes Factor Computation in Neural Circuits NIPS 2019 Semi-Supervised Pedestrian Instance Synthesis and Detection With Mutual Reinforcement ICCV 2019 Improving Domain-Specific Classification by Collaborative Learning with Adaptation Networks AAAI 2019 “Congruent” and “Opposite” Neurons: Sisters for Multisensory Integration and Segregation NIPS 2016 Spike Frequency Adaptation Implements Anticipative Tracking in Continuous Attractor Neural Networks NIPS 2014 A Synaptical Story of Persistent Activity with Graded Lifetime in a Neural System NIPS 2014 Reciprocally Coupled Local Estimators Implement Bayesian Information Integration Distributively NIPS 2013 Delay Compensation with Dynamical Synapses NIPS 2012 Attractor Dynamics with Synaptic Depression NIPS 2010 Tracking Changing Stimuli in Continuous Attractor Neural Networks NIPS 2008