Yibo Yang

42 papers · 2018–2026 · 12 conferences · across top CS/AI conferences

Achievements

+14 more ↓

🌍 Conference Polyglot (12) 🏃 Academic Marathon (7) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (8)

🐝 Cross-Pollinator (8) 🌈 Renaissance Researcher (6) 🗺️ Taxonomy Completionist (66) 🧬 Topic Evolution 🤝 Dynamic Duo (13) 🏆 Keyword Champion (2) 🏆 Grand Slam ❓ The Questioner ⚡ Prolific Year (8) 🚀 Conference Pioneer 🗃️ Keyword Collector (156) 📈 Trend Setter 🔥 Unstoppable (8) 💎 Century Club (39)

Conferences

ICLR (7) NIPS (7) CVPR (6) ECCV (5) ACL (4) ICCV (4) AAAI (3) ICML (2) ACML (1) IJCAI (1) NSDI (1) UAI (1)

Top co-authors

Zhouchen Lin (13) Stephan Mandt (8) Xiangtai Li (6) Jianlong Wu (5) Dacheng Tao (5) Bernard Ghanem (5) Xia Li (4) Zhisheng Zhong (4) Hongyang Li (4) Xiaojie Li (4)

Research topics

Privacy (1) Core AI (1)

Keywords

semantic segmentation (5) feature learning (3) variational inference (3) dense prediction (3) large language model (2) image compression (2) neural collapse (2) gradient descent (2) catastrophic forgetting (2) variational autoencoder (2) neural architecture search (2) convolutional neural network (2) differentiable search (2) neural network architecture (2) multi-task learning (2) model compression (2) feature extraction (1) non-convex optimization (1) approximate inference (1) vision transformer (1)

Papers

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