Currently, I am a Research Scientist in King Abdullah University of Science and Technology (KAUST). I obtained my Ph.D. degree at Center for Data Science, Academy for Advanced Interdisciplinary Studies, Peking University, under the supervision of Prof. Zhouchen Lin in 2021. I have also worked as a Research Scientist in JD Explore Academy.
(*: equal contributions; #: corresponding author)
[Conference Papers]
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models
Yibo Yang, Xiaojie Li, Zhongzhu Zhou, Shuaiwen Leon Song, Jianlong Wu, Liqiang Nie, Bernard Ghanem
Advances in Neural Information Processing Systems, NeurIPS 2024
[PDF] [Code]
Intro: We propose a new PEFT method with better performance on finetuning task and less forgetting of pre-trained world knowledge.
GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning
Xiaojie Li, Yibo Yang#, Xiangtai Li, Jianlong Wu, Yue Yu, Bernard Ghanem, Min Zhang
European Conference on Computer Vision, ECCV 2024
[PDF] [Code]
Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation
Yibo Yang, Xiaojie Li, Motasem Alfarra, Hasan Hammoud, Adel Bibi, Philip Torr, Bernard Ghanem
International Conference on Machine Learning, ICML, 2024
[PDF] [Code]
Multi-Task Learning with Knowledge Distillation for Dense Prediction
Yangyang Xu, Yibo Yang, Lefei Zhang
IEEE/CVF International Conference in Computer Vision, ICCV, 2023
[PDF]
Understanding Imbalanced Semantic Segmentation Through Neural Collapse
Zhisheng Zhong*, Jiequan Cui*, Yibo Yang*, Xiaoyang Wu, Xiaojuan Qi, Xiangyu Zhang, Jiaya Jia
IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2023
[PDF] [Code]
Neural ePDOs: Spatially Adaptive Equivariant Partial Differential Operator Based Networks
Lingshen He, Yuxuan Chen, Zhengyang Shen, Yibo Yang, Zhouchen Lin
International Conference on Learning Representations, ICLR 2023, spotlight
[PDF] [Code]
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning
Yibo Yang, Haobo Yuan, Xiangtai Li, Zhouchen Lin, Philip Torr, Dacheng Tao
International Conference on Learning Representations, ICLR 2023, spotlight
[PDF] [Code]
DeMT: Deformable Mixer Transformer for Multi-Task Learning of Dense Prediction
Yangyang Xu, Yibo Yang, Lefei Zhang
AAAI Conference on Artificial Intelligence, AAAI 2023
[PDF] [Code]
Towards Theoretically Inspired Neural Initialization Optimization
Yibo Yang, Hong Wang, Haobo Yuan, Zhouchen Lin
Advances in Neural Information Processing Systems, NeurIPS 2022
[PDF] [Code]
Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?
Yibo Yang, Shixiang Chen, Xiangtai Li, Liang Xie, Zhouchen Lin, Dacheng Tao,
Advances in Neural Information Processing Systems, NeurIPS 2022
[PDF] [Code]
Eliminating Gradient Conflict in Reference-based Line-art Colorization
Zekun Li, Zhengyang Geng, Zhao Kang, Wenyu Chen, Yibo Yang
European Conference on Computer Vision, ECCV 2022
[PDF] [Code]
View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums
Conghao Wong, Beihao Xia, Ziming Hong, Qinmu Peng, Wei Yuan, Qiong Cao, Yibo Yang, Xinge You
European Conference on Computer Vision, ECCV 2022
[PDF] [Code]
Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation
Xiangtai Li, Shilin Xu, Yibo Yang, Guangliang Cheng, Yunhai Tong, Dacheng Tao
European Conference on Computer Vision, ECCV 2022
[PDF] [Code]
(The method in this paper also won the first place in Segmenting and Tracking Every Point and Pixel challenge in ICCV 2021)
ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation
Ruibin Wang, Yibo Yang#, Dacheng Tao
IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2022
[PDF] [Code]
Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search
Yibo Yang, Shan You, Hongyang Li, Fei Wang, Chen Qian, Zhouchen Lin
IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021
[PDF]
ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding
Yibo Yang, Hongyang Li, Shan You, Fei Wang, Chen Qian, Zhouchen Lin
Advances in Neural Information Processing Systems, NeurIPS 2020
[PDF] [Code]
Spatial Pyramid Based Graph Reasoning for Semantic Segmentation
Xia Li*, Yibo Yang*, Qijie Zhao, Tiancheng Shen, Zhouchen Lin, Hong Liu
IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2020
[PDF]
SOGNet: Scene Overlap Graph Network for Panoptic Segmentation
Yibo Yang, Hongyang Li, Xia Li, Qijie Zhao, Jianlong Wu, Zhouchen Lin
AAAI Conference on Artificial Intelligence, AAAI 2020
[PDF] [Code]
(The method in this paper also won the Most Innovative Award in COCO 2019 challenge in ICCV 2019)
Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families
Yibo Yang, Jianlong Wu, Hongyang Li, Xia Li, Tiancheng Shen, Zhouchen Lin
AAAI Conference on Artificial Intelligence, AAAI, 2020
[PDF]
Expectation-Maximization Attention Networks for Semantic Segmentation
Xia Li, Zhisheng Zhong, Jianlong Wu, Yibo Yang, Zhouchen Lin, Hong Liu
IEEE/CVF International Conference in Computer Vision, ICCV, 2019, Oral Presentation (4.3%)
[PDF] [Code]
Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-resolution
Zhisheng Zhong, Tiancheng Shen, Yibo Yang, Zhouchen Lin, Chao Zhang
Advances in Neural Information Processing Systems, NeurIPS 2018
[PDF]
Optimization Algorithm Inspired Deep Neural Network Structure Design
Huan Li*, Yibo Yang*, Dongmin Chen, Zhouchen Lin
Asian Conference on Machine Learning, ACML 2018, Oral Presentation
[PDF]
[Journal Papers]
PanopticPartFormer++: A Unified and Decoupled View for Panoptic Part Segmentation
Xiangtai Li, Shilin Xu, Yibo Yang#, Haobo Yuan, Guangliang Cheng, Yunhai Tong, Zhouchen Lin, Ming-Hsuan Yang, Dacheng Tao
IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI)
[PDF]
Towards open vocabulary learning: A survey
Jianzong Wu, Xiangtai Li, Shilin Xu, Haobo Yuan, Henghui Ding, Yibo Yang, Xia Li, Jiangning Zhang, Yunhai Tong, Xudong Jiang, Bernard Ghanem, Dacheng Tao
IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI)
[PDF]
EATFormer: Improving Vision Transformer Inspired by Evolutionary Algorithm
Jiangning Zhang, Xiangtai Li, Yabiao Wang, Chengjie Wang, Yibo Yang, Yong Liu, Dacheng Tao
International Journal of Computer Vision (IJCV)
[PDF]
Demystify Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification
Yuxuan Du, Yibo Yang, Dacheng Tao, Min-Hsiu Hsieh
Physical Review Letters
[PDF]
Intro: Inspired by neural collapse, we find out some provable advantages and limitations of the quantum neural network over the classical one.
SFNet: Faster, Accurate, and Domain Agnostic Semantic Segmentation via Semantic Flow
Xiangtai Li, Jiangning Zhang, Yibo Yang, Guangliang Cheng, Kuiyuan Yang, Yunhai Tong, Dacheng Tao
International Journal of Computer Vision
[PDF] [Code]
Deformable medical image registration with global-local transformation network and region similarity constraint
Xinke Ma, Hengfei Cui, Shuoyan Li, Yibo Yang, Yong Xia
Computerized Medical Imaging and Graphics
[PDF]
Multi-task learning with multi-query transformer for dense prediction
Yangyang Xu, Xiangtai Li, Haobo Yuan, Yibo Yang, Lefei Zhang
IEEE Trans. Circuits and Systems for Video Technology
[PDF]
Neural Collapse Inspired Attraction-Repulsion-Balanced Loss for Imbalanced Learning
Liang Xie, Yibo Yang, Deng Cai, Xiaofei He
Neurocomputing
[PDF]
TransVOD: End-to-end Video Object Detection with Spatial-Temporal Transformers
Qianyu Zhou, Xiangtai Li, Lu He, Yibo Yang, Guangliang Cheng, Yunhai Tong, Lizhuang Ma, Dacheng Tao
IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI)
[PDF] [Code]
Improving Video Instance Segmentation via Temporal Pyramid Routing
Xiangtai Li, Hao He, Yibo Yang, Henghui Ding, Kuiyuan Yang, Guangliang Cheng, Yunhai Tong, Dacheng Tao
IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI)
[PDF] [Code]
Newton Design: Designing CNNs with the Family of Newton’s Methods
Zhengyang Shen, Yibo Yang, Qi She, Jiwen Ma, Zhouchen Lin
SCIENCE CHINA Information Sciences, (WOS Q1, CCF-A)
[PDF]
Optimization-Inspired Manual Architecture Design and Neural Architecture Search
Yibo Yang, Zhengyang Shen, Huan Li, Zhouchen Lin
SCIENCE CHINA Information Sciences, (WOS Q1, CCF-A)
[PDF]
[Pre-prints]
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants
Yibo Yang, Haobo Yuan, Xiangtai Li, Jianlong Wu, Lefei Zhang, Zhouchen Lin, Philip Torr, Dacheng Tao, Bernard Ghanem
[PDF] [Code]
Intro: An extended work of our ICLR’23 paper. We propose a unified method for continual learning under different data distribution.
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning
Xiaojie Li, Yibo Yang, Jianlong Wu, Bernard Ghanem, Liqiang Nie, Min Zhang
[PDF] [Code]
Intro: Utilize Mamba to mitigate catastrophic forgetting in few-shot continual learning.
ShadowNet for Data-Centric Quantum System Learning
Yuxuan Du, Yibo Yang, Tongliang Liu, Zhouchen Lin, Bernard Ghanem, Dacheng Tao
[PDF]
Intro: We propose a data-centric learning paradigm for physics problems including quantum state tomography and direct fidelity estimation.
[Reviewer for Journals]
[Area Chair / Senior Program Committee for Conferences]
[Reviewer for Conferences]