Yibo Yang

Detecting AI-Generated Content on Social Media with Multi-modal Language Models ACL 2026 PDR: A Plug-and-Play Positional Decay Framework for LLM Pre-training Data Detection ACL 2026 Safeguarding LLM Fine-tuning via Push-Pull Distributional Alignment ACL 2026 AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data ICLR 2025 Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization CVPR 2025 Inference Compute-Optimal Video Vision Language Models ACL 2025 Instruction-Oriented Preference Alignment for Enhancing Multi-Modal Comprehension Capability of MLLMs ICCV 2025 Progressive Compression with Universally Quantized Diffusion Models ICLR 2025 RMP-SAM: Towards Real-Time Multi-Purpose Segment Anything ICLR 2025 CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning NeurIPS 2024 GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning ECCV 2024 Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation ICML 2024 Computationally-Efficient Neural Image Compression with Shallow Decoders ICCV 2023 DeMT: Deformable Mixer Transformer for Multi-Task Learning of Dense Prediction AAAI 2023 Estimating the Rate-Distortion Function by Wasserstein Gradient Descent NeurIPS 2023 Multi-Task Learning with Knowledge Distillation for Dense Prediction ICCV 2023 Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning ICLR 2023 Neural ePDOs: Spatially Adaptive Equivariant Partial Differential Operator Based Networks ICLR 2023 Understanding Imbalanced Semantic Segmentation Through Neural Collapse CVPR 2023 ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation CVPR 2022 Eliminating Gradient Conflict in Reference-Based Line-Art Colorization ECCV 2022 Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network? NeurIPS 2022 Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation ECCV 2022 PolyphonicFormer: Unified Query Learning for Depth-Aware Video Panoptic Segmentation ECCV 2022 Towards Empirical Sandwich Bounds on the Rate-Distortion Function ICLR 2022 Towards Theoretically Inspired Neural Initialization Optimization NeurIPS 2022 View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums ECCV 2022 Hierarchical Autoregressive Modeling for Neural Video Compression ICLR 2021 Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search CVPR 2021 Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families AAAI 2020 Improving Inference for Neural Image Compression NeurIPS 2020 ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding NeurIPS 2020 Lifted Hybrid Variational Inference IJCAI 2020 SOGNet: Scene Overlap Graph Network for Panoptic Segmentation AAAI 2020 Spatial Pyramid Based Graph Reasoning for Semantic Segmentation CVPR 2020 Variational Bayesian Quantization ICML 2020 End-to-end I/O Monitoring on a Leading Supercomputer NSDI 2019 Expectation-Maximization Attention Networks for Semantic Segmentation ICCV 2019 One-Shot Marginal MAP Inference in Markov Random Fields UAI 2019 Convolutional Neural Networks With Alternately Updated Clique CVPR 2018 Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution NeurIPS 2018 Optimization Algorithm Inspired Deep Neural Network Structure Design ACML 2018