Yang, Yibo

48 publications

ICLR 2026 A Guardrail for Safety Preservation: When Safety-Sensitive Subspace Meets Harmful-Resistant Null-Space Bingjie Zhang, Yibo Yang, Renzhe, Dandan Guo, Jindong Gu, Philip Torr, Bernard Ghanem

ICLR 2026 CARE: Covariance-Aware and Rank-Enhanced Decomposition for Enabling Multi-Head Latent Attention Zhongzhu Zhou, Fengxiang Bie, Ziyan Chen, Zhenyu Zhang, Yibo Yang, Junxiong Wang, Ben Athiwaratkun, Xiaoxia Wu, Shuaiwen Leon Song

ICLR 2026 Imitating the Truth: Attention-Aware Truth-Guided Enhancement for Hallucination Mitigation in Large Vision-Language Models Hairui Ren, Zixuan Wang, Yibo Yang, He Zhao, Fan Tang, Dandan Guo, Yi Chang

ICLR 2025 AstroCompress: A Benchmark Dataset for Multi-Purpose Compression of Astronomical Data Tuan Truong, Rithwik Sudharsan, Yibo Yang, Peter Xiangyuan Ma, Ruihan Yang, Stephan Mandt, Joshua S. Bloom

CVPR 2025 Enhancing Online Continual Learning with Plug-and-Play State Space Model and Class-Conditional Mixture of Discretization Sihao Liu, Yibo Yang, Xiaojie Li, David A. Clifton, Bernard Ghanem

ICCV 2025 Instruction-Oriented Preference Alignment for Enhancing Multi-Modal Comprehension Capability of MLLMs Zitian Wang, Yue Liao, Kang Rong, Fengyun Rao, Yibo Yang, Si Liu

NeurIPS 2025 Optimization Inspired Few-Shot Adaptation for Large Language Models Boyan Gao, Xin Wang, Yibo Yang, David A. Clifton

ICLR 2025 Progressive Compression with Universally Quantized Diffusion Models Yibo Yang, Justus Will, Stephan Mandt

ICLR 2025 RMP-SAM: Towards Real-Time Multi-Purpose Segment Anything Shilin Xu, Haobo Yuan, Qingyu Shi, Lu Qi, Jingbo Wang, Yibo Yang, Yining Li, Kai Chen, Yunhai Tong, Bernard Ghanem, Xiangtai Li, Ming-Hsuan Yang

NeurIPS 2025 Transformers for Mixed-Type Event Sequences Felix Draxler, Yang Meng, Kai Nelson, Lukas Laskowski, Yibo Yang, Theofanis Karaletsos, Stephan Mandt

NeurIPSW 2024 Benchmarking Neural Lossless Compression Algorithms on Multi-Purpose Astronomical Image Data Tuan Truong, Rithwik Sudharsan, Yibo Yang, Peter Xiangyuan Ma, Ruihan Yang, Stephan Mandt, Joshua S. Bloom

NeurIPS 2024 CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-Tuning Yibo Yang, Xiaojie Li, Zhongzhu Zhou, Shuaiwen Leon Song, Jianlong Wu, Liqiang Nie, Bernard Ghanem

ECCV 2024 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

ICML 2024 Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation Yibo Yang, Xiaojie Li, Motasem Alfarra, Hasan Abed Al Kader Hammoud, Adel Bibi, Philip Torr, Bernard Ghanem

NeurIPSW 2024 Towards Scalable Compression with Universally Quantized Diffusion Models Yibo Yang, Justus Will, Stephan Mandt

ICMLW 2023 Autoencoding Implicit Neural Representations for Image Compression Tuan Pham, Yibo Yang, Stephan Mandt

ICCV 2023 Computationally-Efficient Neural Image Compression with Shallow Decoders Yibo Yang, Stephan Mandt

AAAI 2023 DeMT: Deformable Mixer Transformer for Multi-Task Learning of Dense Prediction Yangyang Xu, Yibo Yang, Lefei Zhang

NeurIPS 2023 Estimating the Rate-Distortion Function by Wasserstein Gradient Descent Yibo Yang, Stephan Eckstein, Marcel Nutz, Stephan Mandt

ICMLW 2023 Estimating the Rate-Distortion Function by Wasserstein Gradient Descent Yibo Yang, Stephan Eckstein, Marcel Nutz, Stephan Mandt

ICCV 2023 Multi-Task Learning with Knowledge Distillation for Dense Prediction Yangyang Xu, Yibo Yang, Lefei Zhang

ICLR 2023 Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning Yibo Yang, Haobo Yuan, Xiangtai Li, Zhouchen Lin, Philip Torr, Dacheng Tao

ICLR 2023 Neural ePDOs: Spatially Adaptive Equivariant Partial Differential Operator Based Networks Lingshen He, Yuxuan Chen, Zhengyang Shen, Yibo Yang, Zhouchen Lin

CVPR 2023 Understanding Imbalanced Semantic Segmentation Through Neural Collapse Zhisheng Zhong, Jiequan Cui, Yibo Yang, Xiaoyang Wu, Xiaojuan Qi, Xiangyu Zhang, Jiaya Jia

CVPR 2022 ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation Ruibin Wang, Yibo Yang, Dacheng Tao

ECCV 2022 Eliminating Gradient Conflict in Reference-Based Line-Art Colorization Zekun Li, Zhengyang Geng, Zhao Kang, Wenyu Chen, Yibo Yang

NeurIPS 2022 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

ECCV 2022 Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation Xiangtai Li, Shilin Xu, Yibo Yang, Guangliang Cheng, Yunhai Tong, Dacheng Tao

ECCV 2022 PolyphonicFormer: Unified Query Learning for Depth-Aware Video Panoptic Segmentation Haobo Yuan, Xiangtai Li, Yibo Yang, Guangliang Cheng, Jing Zhang, Yunhai Tong, Lefei Zhang, Dacheng Tao

ICLR 2022 Towards Empirical Sandwich Bounds on the Rate-Distortion Function Yibo Yang, Stephan Mandt

NeurIPS 2022 Towards Theoretically Inspired Neural Initialization Optimization Yibo Yang, Hong Wang, Haobo Yuan, Zhouchen Lin

ECCV 2022 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

ICLR 2021 Hierarchical Autoregressive Modeling for Neural Video Compression Ruihan Yang, Yibo Yang, Joseph Marino, Stephan Mandt

ICLRW 2021 Lower Bounding Rate-Distortion from Samples Yibo Yang, Stephan Mandt

ICLRW 2021 Scale Space Flow with Autoregressive Priors Ruihan Yang, Yibo Yang, Joseph Marino, Stephan Mandt

CVPR 2021 Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search Yibo Yang, Shan You, Hongyang Li, Fei Wang, Chen Qian, Zhouchen Lin

AAAI 2020 Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families Yibo Yang, Jianlong Wu, Hongyang Li, Xia Li, Tiancheng Shen, Zhouchen Lin

NeurIPS 2020 ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding Yibo Yang, Hongyang Li, Shan You, Fei Wang, Chen Qian, Zhouchen Lin

NeurIPS 2020 Improving Inference for Neural Image Compression Yibo Yang, Robert Bamler, Stephan Mandt

IJCAI 2020 Lifted Hybrid Variational Inference Yuqiao Chen, Yibo Yang, Sriraam Natarajan, Nicholas Ruozzi

AAAI 2020 SOGNet: Scene Overlap Graph Network for Panoptic Segmentation Yibo Yang, Hongyang Li, Xia Li, Qijie Zhao, Jianlong Wu, Zhouchen Lin

CVPR 2020 Spatial Pyramid Based Graph Reasoning for Semantic Segmentation Xia Li, Yibo Yang, Qijie Zhao, Tiancheng Shen, Zhouchen Lin, Hong Liu

ICML 2020 Variational Bayesian Quantization Yibo Yang, Robert Bamler, Stephan Mandt

ICCV 2019 Expectation-Maximization Attention Networks for Semantic Segmentation Xia Li, Zhisheng Zhong, Jianlong Wu, Yibo Yang, Zhouchen Lin, Hong Liu

UAI 2019 One-Shot Marginal MAP Inference in Markov Random Fields Hao Xiong, Yuanzhen Guo, Yibo Yang, Nicholas Ruozzi

CVPR 2018 Convolutional Neural Networks with Alternately Updated Clique Yibo Yang, Zhisheng Zhong, Tiancheng Shen, Zhouchen Lin

NeurIPS 2018 Joint Sub-Bands Learning with Clique Structures for Wavelet Domain Super-Resolution Zhisheng Zhong, Tiancheng Shen, Yibo Yang, Zhouchen Lin, Chao Zhang

ACML 2018 Optimization Algorithm Inspired Deep Neural Network Structure Design Huan Li, Yibo Yang, Dongmin Chen, Zhouchen Lin