SELECTED PUBLICATIONS

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

Books

• Generalizing from Limited Resources in the Open World: Third International Workshop, GLOW 2025, Proceedings
  Yuqing Ma, Jinyang Guo, Xiaowei Zhao, Ruihao Gong, Ning Liu, Xuefei Ning, Xianglong Liu (Editors)
  Communications in Computer and Information Science (CCIS), Vol. 2640, Springer, 2025.
  [Books]


• Generalizing from Limited Resources in the Open World: Second International Workshop, GLOW 2024, Proceedings
  Jinyang Guo, Yuqing Ma, Yifu Ding, Ruihao Gong, Xingyu Zheng, Changyi He, Yantao Lu, Xianglong Liu (Editors)
  Communications in Computer and Information Science (CCIS), Vol. 2160, Springer, 2024.
  [Books]



2026

• CMedBench: A Comprehensive Benchmark for Efficient Medical Large Language Models
  Shengbo Gao, Jinyang Guo^✉, Lixian Su, Yifu Ding, Shiqiao Gu, Aishan Liu, Yuqing Ma, Zhiwang Zhang, Xianglong Liu
  The AAAI Conference on Artificial Intelligence (AAAI), 2026.
  



2025

• SLMQuant: Benchmarking Small Language Model Quantization for Practical Deployment
  Jiacheng Wang, Yejun Zeng, Jinyang Guo^✉, Yuqing Ma, Aishan Liu, Xianglong Liu
  ACM MM 2025 Workshop on RichMediaGAI, (Best Paper Award).
  [Paper]


• 大语言模型压缩综述
  Jinyang Guo (郭晋阳), Changyi He (贺昌义), Ge Yang (杨戈), Xianglong Liu (刘祥龙)
  《计算机科学与探索》2025.
  


• DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models
  Changyi He, Yifu Ding, Jinyang Guo^✉, Ruihao Gong, Haotong Qin, Xianglong Liu
  Forty-second International Conference on Machine Learning (ICML), 2025.
  [Paper]


• Pushing the Limit of Post-Training Quantization
  Ruihao Gong, Xianglong Liu, Yuhang Li, Yunqiang Fan, Xiuying Wei, Jinyang Guo
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.
  [Paper] [Code]



2024

• LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment
  Ge Yang, Changyi He, Jinyang Guo^✉, Jianyu Wu, Yifu Ding, Aishan Liu, Haotong Qin, Pengliang Ji, Xianglong Liu
  Annual Conference on Neural Information Processing Systems Datasets&Benchmarks Track (NeurIPS D&B Track, Spotlight), 2024.
  [Paper] [Code]


• 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 (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 (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]


• 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), 2024.
  [Paper]



2023

• 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]


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



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]