← Authors

Yibo Yang

39 papers · 2018–2025 · 12 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (12) πŸƒ Academic Marathon (7) 🐝 Cross-Pollinator (8) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (66) 🧬 Topic Evolution 🀝 Dynamic Duo (13) πŸ† Keyword Champion (2) πŸ† Grand Slam ❓ The Questioner ⚑ Prolific Year (8) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (156) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (8) πŸ’Ž Century Club (39)

Conferences

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

Top co-authors

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

Research topics

Core AI (1)

Keywords

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

Papers

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data ICLR 2025
Inference Compute-Optimal Video Vision Language Models ACL 2025
Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization CVPR 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 NIPS 2024
Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation ICML 2024
GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning ECCV 2024
Estimating the Rate-Distortion Function by Wasserstein Gradient Descent NIPS 2023
DeMT: Deformable Mixer Transformer for Multi-Task Learning of Dense Prediction AAAI 2023
Understanding Imbalanced Semantic Segmentation Through Neural Collapse CVPR 2023
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning ICLR 2023
Computationally-Efficient Neural Image Compression with Shallow Decoders ICCV 2023
Multi-Task Learning with Knowledge Distillation for Dense Prediction ICCV 2023
Neural ePDOs: Spatially Adaptive Equivariant Partial Differential Operator Based Networks ICLR 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
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
Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network? NIPS 2022
Towards Empirical Sandwich Bounds on the Rate-Distortion Function ICLR 2022
Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search CVPR 2021
Hierarchical Autoregressive Modeling for Neural Video Compression ICLR 2021
Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families AAAI 2020
Lifted Hybrid Variational Inference IJCAI 2020
Variational Bayesian Quantization ICML 2020
SOGNet: Scene Overlap Graph Network for Panoptic Segmentation AAAI 2020
Spatial Pyramid Based Graph Reasoning for Semantic Segmentation CVPR 2020
Improving Inference for Neural Image Compression NIPS 2020
ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding NIPS 2020
One-Shot Marginal MAP Inference in Markov Random Fields UAI 2019
Expectation-Maximization Attention Networks for Semantic Segmentation ICCV 2019
End-to-end I/O Monitoring on a Leading Supercomputer NSDI 2019
Optimization Algorithm Inspired Deep Neural Network Structure Design ACML 2018
Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution NIPS 2018
Convolutional Neural Networks With Alternately Updated Clique CVPR 2018