Yao, Anbang

31 publications

ICLR 2026 SliderQuant: Accurate Post-Training Quantization for LLMs Shigeng Wang, Chao Li, Yangyuxuan Kang, Jiawei Fan, Zhonghong Ou, Anbang Yao

ICML 2025 Morse: Dual-Sampling for Lossless Acceleration of Diffusion Models Chao Li, Jiawei Fan, Anbang Yao

ICML 2024 KernelWarehouse: Rethinking the Design of Dynamic Convolution Chao Li, Anbang Yao

NeurIPS 2024 ScaleKD: Strong Vision Transformers Could Be Excellent Teachers Jiawei Fan, Chao Li, Xiaolong Liu, Anbang Yao

CVPR 2024 Small Scale Data-Free Knowledge Distillation He Liu, Yikai Wang, Huaping Liu, Fuchun Sun, Anbang Yao

AAAI 2023 3D Human Pose Lifting with Grid Convolution Yangyuxuan Kang, Yuyang Liu, Anbang Yao, Shandong Wang, Enhua Wu

NeurIPS 2023 Augmentation-Free Dense Contrastive Knowledge Distillation for Efficient Semantic Segmentation Jiawei Fan, Chao Li, Xiaolong Liu, Meina Song, Anbang Yao

CVPR 2023 Compacting Binary Neural Networks by Sparse Kernel Selection Yikai Wang, Wenbing Huang, Yinpeng Dong, Fuchun Sun, Anbang Yao

ICLR 2023 NORM: Knowledge Distillation via N-to-One Representation Matching Xiaolong Liu, Luking Li, Chao Li, Anbang Yao

ICML 2023 Ske2Grid: Skeleton-to-Grid Representation Learning for Action Recognition Dongqi Cai, Yangyuxuan Kang, Anbang Yao, Yurong Chen

ECCV 2022 Efficient Meta-Tuning for Content-Aware Neural Video Delivery Xiaoqi Li, Jiaming Liu, Shizun Wang, Cheng Lyu, Ming Lu, Yurong Chen, Anbang Yao, Yandong Guo, Shanghang Zhang

ICLR 2022 Omni-Dimensional Dynamic Convolution Chao Li, Aojun Zhou, Anbang Yao

NeurIPS 2021 Dynamic Normalization and Relay for Video Action Recognition Dongqi Cai, Anbang Yao, Yurong Chen

ICCV 2021 Sub-Bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks Yikai Wang, Yi Yang, Fuchun Sun, Anbang Yao

ECCV 2020 Knowledge Transfer via Dense Cross-Layer Mutual-Distillation Anbang Yao, Dawei Sun

ECCV 2020 Learning to Learn Parameterized Classification Networks for Scalable Input Images Duo Li, Anbang Yao, Qifeng Chen

ECCV 2020 PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer Duo Li, Anbang Yao, Qifeng Chen

ECCV 2020 Resolution Switchable Networks for Runtime Efficient Image Recognition Yikai Wang, Fuchun Sun, Duo Li, Anbang Yao

ICCV 2019 A Closed-Form Solution to Universal Style Transfer Ming Lu, Hao Zhao, Anbang Yao, Yurong Chen, Feng Xu, Li Zhang

CVPR 2019 Deeply-Supervised Knowledge Synergy Dawei Sun, Anbang Yao, Aojun Zhou, Hao Zhao

ICCV 2019 HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions Duo Li, Aojun Zhou, Anbang Yao

ICCV 2019 Learning Two-View Correspondences and Geometry Using Order-Aware Network Jiahui Zhang, Dawei Sun, Zixin Luo, Anbang Yao, Lei Zhou, Tianwei Shen, Yurong Chen, Long Quan, Hongen Liao

ECCV 2018 Efficient Semantic Scene Completion Network with Spatial Group Convolution Jiahui Zhang, Hao Zhao, Anbang Yao, Yurong Chen, Li Zhang, Hongen Liao

CVPR 2018 Explicit Loss-Error-Aware Quantization for Low-Bit Deep Neural Networks Aojun Zhou, Anbang Yao, Kuan Wang, Yurong Chen

ICCV 2017 Decoder Network over Lightweight Reconstructed Feature for Fast Semantic Style Transfer Ming Lu, Hao Zhao, Anbang Yao, Feng Xu, Yurong Chen, Li Zhang

ICLR 2017 Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou, Anbang Yao, Yiwen Guo, Lin Xu, Yurong Chen

CVPR 2017 Network Sketching: Exploiting Binary Structure in Deep CNNs Yiwen Guo, Anbang Yao, Hao Zhao, Yurong Chen

CVPR 2017 Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang

CVPR 2017 RON: Reverse Connection with Objectness Prior Networks for Object Detection Tao Kong, Fuchun Sun, Anbang Yao, Huaping Liu, Ming Lu, Yurong Chen

NeurIPS 2016 Dynamic Network Surgery for Efficient DNNs Yiwen Guo, Anbang Yao, Yurong Chen

CVPR 2016 HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection Tao Kong, Anbang Yao, Yurong Chen, Fuchun Sun