SELECTED PUBLICATIONS

Full publication list can be found on Google Scholar. * indicates equal contribution and ✉ indicates corresponding author.

Books

• Chapter: Generalizing from Limited Resources in the Open World
  Jinyang Guo, Yuqing Ma, Yifu Ding, Ruihao Gong, Xingyu Zheng, Changyi He, Yantao Lu, Xianglong Liu
  Communications in Computer and Information Science
  [Books]



2024

• QVD: Post-training Quantization for Video Diffusion Models
  Shilong Tian, Hong Chen, Chengtao Lv, Yu Liu, Jinyang Guo^✉, Xianglong Liu, Shengxi Li, Hao Yang, Tao Xie
  ACM MULTIMEDIA 2024 (ACM MM), 2024.
  [Paper]


• VRDistill: Vote Refinement Distillation for Efficient Indoor 3D Object Detection
  Ze Yuan*, Jinyang Guo*, Dakai An, Junran Wu, He Zhu, Jianhao Li, Xueyuan Chen, Ke Xu, Jiaheng Liu
  ACM MULTIMEDIA 2024 (ACM MM), 2024.
  [Paper]


• PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models
  Zining Wang, Jinyang Guo^✉, Ruihao Gong, Yang Yong, Aishan Liu, Yushi Huang, Jiaheng Liu, Xianglong Liu
  ACM MULTIMEDIA 2024 (ACM MM), 2024.
  [Paper] [Code]


• Compressing Large Language Models by Joint Sparsification and Quantization
  Jinyang Guo, Jianyu Wu, Zining Wang, Jiaheng Liu, Ge Yang, Yifu Ding, Ruihao Gong, Haotong Qin, Xianglong Liu
  Forty-first International Conference on Machine Learning (ICML), 2024.
  [Paper] [Code]


• LTA-PCS: Learnable Task-Agnostic Point Cloud Sampling
  Jiaheng Liu, Jianhao Li, Kaisiyuan Wang, Hongcheng Guo, Jian Yang, Junran Peng, Ke Xu, Xianglong Liu, Jinyang Guo^✉
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
  [Paper]


• PTQ4SAM: Post-Training Quantization for Segment Anything
  Chengtao Lv, Hong Chen, Jinyang Guo^✉, Yifu Ding, Xianglong Liu
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
  [Paper] [Code]


• Reg-PTQ: Regression-specialized Post-training Quantization for Fully Quantized Object Detector
  Yifu Ding, Weilun Feng, Chuyan Chen, Jinyang Guo, Xianglong Liu
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
  [Paper]


• Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes
  Ruihao Gong, Yang Yong, Zining Wang, Jinyang Guo, Xiuying Wei, Yuqing Ma, Xianglong Liu
  The AAAI Conference on Artificial Intelligence (AAAI), 2024.
  [Paper]


• DB-LLM: Accurate Dual-Binarization for Efficient LLMs
  Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin Zhou, Yifu Ding, Xuebo Liu, Min Zhang, Jinyang Guo, Xianglong Liu, Dacheng Tao
  Findings of the Association for Computational Linguistics (ACL Findings), 2024.
  [Paper]



2023

• Multidimensional Pruning and Its Extension: A Unified Framework for Model Compression
  Jinyang Guo, Dong Xu, and Wanli Ouyang
  IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023.
  [Paper]


• CBANet: Toward Complexity and Bitrate Adaptive Deep Image Compression Using a Single Network
  Jinyang Guo, Dong Xu, and Guo Lu
  IEEE Transactions on Image Processing (TIP), 2023.
  [Paper] [Code]


• Outlier Suppression+: Accurate Quantization of Large Language Models by Equivalent and Optimal Shifting and Scaling
  Xiuying Wei, Yunchen Zhang, Yuhang Li, Xiangguo Zhang, Ruihao Gong, Jinyang Guo, Xianglong Liu
  Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023.
  [Paper] [Code]


• Adaptive Contrastive Knowledge Distillation for BERT Compression
  Jinyang Guo, Jiaheng Liu, Zining Wang, Yuqing Ma, Ruihao Gong, Ke Xu, Xianglong Liu
  Findings of the Association for Computational Linguistics (ACL Findings), 2023.
  [Paper]


• Annealing-based Label-transfer Learning for Open World Object Detection
  Yuqing Ma, Hainan Li, Zhange Zhang, Jinyang Guo, Shanghang Zhang, Ruihao Gong, Xianglong Liu
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
  [Paper]


• Automatic Loss Function Search for Adversarial Unsupervised Domain Adaptation
  Zhen Mei, Peng Ye, Hancheng Ye, Baopu Li, Jinyang Guo, Tao Chen, Wanli Ouyang
  IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023.
  [Paper]



2022

• APSNet: Toward Adaptive Point Sampling for Efficient 3D Action Recognition
  Jiaheng Liu*, Jinyang Guo*, Dong Xu
  IEEE Transactions on Image Processing (TIP), 2022.
  [Paper]


• 3D-pruning: A Model Compression Framework for Efficient 3D Action Recognition
  Jinyang Guo, Jiaheng Liu, Dong Xu
  IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022.
  [Paper]


• Coupleface: Relation Matters for Face Recognition Distillation
  Jiaheng Liu, Haoyu Qin, Yichao Wu, Jinyang Guo, Ding Liang, Ke Xu
  European Conference on Computer Vision (ECCV), 2022.
  [Paper]


• Geometrymotion-transformer: An End-to-end Framework for 3D Action Recognition
  Jiaheng Liu*, Jinyang Guo*, Dong Xu
  IEEE Transactions on Multimedia (TMM), 2022.
  [Paper]


• Coarse-to-fine Deep Video Coding with Hyperprior-guided Mode Prediction
  Zhihao Hu, Guo Lu, Jinyang Guo, Shan Liu, Wei Jiang, Dong Xu
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
  [Paper]


• Unsupervised Learning of Accurate Siamese Tracking
  Qiuhong Shen, Lei Qiao, Jinyang Guo, Peixia Li, Xin Li, Bo Li, Weitao Feng, Weihao Gan, Wei Wu, Wanli Ouyang
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
  [Paper]



2020-2021

• JointPruning: Pruning Networks along Multiple Dimensions for Efficient Point Cloud Processing
  Jinyang Guo, Jiaheng Liu, Dong Xu
  IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021.
  [Paper]


• Transformer3D-Det: Improving 3D Object Detection by Vote Refinement
  Lichen Zhao*, Jinyang Guo*, Dong Xu, Lu Sheng
  IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021.
  [Paper]


• Model Compression using Progressive Channel Pruning
  Jinyang Guo, Weichen Zhang, Wanli Ouyang, Dong Xu
  IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2020.
  [Paper]


• Channel Pruning Guided by Classification Loss and Feature Importance
  Jinyang Guo, Wanli Ouyang, Dong Xu
  The AAAI Conference on Artificial Intelligence (AAAI), 2020.
  [Paper]


• Multi-dimensional Pruning: A Unified Framework for Model Compression
  Jinyang Guo, Wanli Ouyang, Dong Xu
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  [Paper]