Channel Pruning Guided by Classification Loss and Feature Importance. - Jinyang Guo 002; Wanli Ouyang; Dong Xu 001 (AAAI, 2020)

Multi-Dimensional Pruning: A Unified Framework for Model Compression. - Jinyang Guo 002; Wanli Ouyang; Dong Xu 001 (CVPR, 2020)

CBANet: Towards Complexity and Bitrate Adaptive Deep Image Compression using a Single Network. - Jinyang Guo 002; Dong Xu 001; Guo Lu (CoRR, 2021)

Model Compression Using Progressive Channel Pruning. - Jinyang Guo 002; Weichen Zhang; Wanli Ouyang; Dong Xu 001 (IEEE Trans. Circuits Syst. Video Technol., 2021)

Transformer3D-Det: Improving 3D Object Detection by Vote Refinement. - Lichen Zhao; Jinyang Guo 002; Dong Xu 001; Lu Sheng (IEEE Trans. Circuits Syst. Video Technol., 2021)

Coarse-To-Fine Deep Video Coding with Hyperprior-Guided Mode Prediction. - Zhihao Hu; Guo Lu; Jinyang Guo 002; Shan Liu 001; Wei Jiang 001; Dong Xu 001 (CVPR, 2022)

Unsupervised Learning of Accurate Siamese Tracking. - Qiuhong Shen; Lei Qiao 004; Jinyang Guo 002; Peixia Li; Xin Li 034; Bo Li 114; Weitao Feng; Weihao Gan; Wei Wu 021; Wanli Ouyang (CVPR, 2022)

CoupleFace: Relation Matters for Face Recognition Distillation. - Jiaheng Liu; Haoyu Qin; Yichao Wu; Jinyang Guo 002; Ding Liang; Ke Xu 001 (ECCV (12), 2022)

JointPruning: Pruning Networks Along Multiple Dimensions for Efficient Point Cloud Processing. - Jinyang Guo 002; Jiaheng Liu; Dong Xu 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

3D-Pruning: A Model Compression Framework for Efficient 3D Action Recognition. - Jinyang Guo 002; Jiaheng Liu; Dong Xu 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

APSNet: Toward Adaptive Point Sampling for Efficient 3D Action Recognition. - Jiaheng Liu; Jinyang Guo 002; Dong Xu 001 (IEEE Trans. Image Process., 2022)

Adaptive Contrastive Knowledge Distillation for BERT Compression. - Jinyang Guo 002; Jiaheng Liu; Zining Wang; Yuqing Ma; Ruihao Gong; Ke Xu 001; Xianglong Liu 001 (ACL (Findings), 2023)

Annealing-based Label-Transfer Learning for Open World Object Detection. - Yuqing Ma; Hainan Li; Zhange Zhang; Jinyang Guo 002; Shanghang Zhang; Ruihao Gong; Xianglong Liu 001 (CVPR, 2023)

Outlier Suppression+: Accurate quantization of large language models by equivalent and effective shifting and scaling. - Xiuying Wei; Yunchen Zhang; Yuhang Li 001; Xiangguo Zhang; Ruihao Gong; Jinyang Guo 002; Xianglong Liu 001 (EMNLP, 2023)

CDMNet: Contrastive Distribution Mapped Network for Infrared Small Target Detection. - Chengtao Lv; Jinyang Guo 002; Jiaqi Yu; Ruiyan Zhang; Xianglong Liu 001 (UAVM, 2023)

Outlier Suppression+: Accurate quantization of large language models by equivalent and optimal shifting and scaling. - Xiuying Wei; Yunchen Zhang; Yuhang Li 001; Xiangguo Zhang; Ruihao Gong; Jinyang Guo 002; Xianglong Liu 001 (CoRR, 2023)

CBANet: Toward Complexity and Bitrate Adaptive Deep Image Compression Using a Single Network. - Jinyang Guo 002; Dong Xu 001; Guo Lu (IEEE Trans. Image Process., 2023)

GeometryMotion-Transformer: An End-to-End Framework for 3D Action Recognition. - Jiaheng Liu; Jinyang Guo 002; Dong Xu 001 (IEEE Trans. Multim., 2023)

RobustMQ: benchmarking robustness of quantized models. - Yisong Xiao; Aishan Liu; Tianyuan Zhang 004; Haotong Qin; Jinyang Guo 002; Xianglong Liu 001 (Vis. Intell., 2023)

Automatic Loss Function Search for Adversarial Unsupervised Domain Adaptation. - Zhen Mei; Peng Ye 006; Hancheng Ye; Baopu Li; Jinyang Guo 002; Tao Chen 003; Wanli Ouyang (IEEE Trans. Circuits Syst. Video Technol., 2023)

Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes. - Ruihao Gong; Yang Yong; Zining Wang; Jinyang Guo 002; Xiuying Wei; Yuqing Ma; Xianglong Liu 001 (AAAI, 2024)

DB-LLM: Accurate Dual-Binarization for Efficient LLMs. - Hong Chen 014; Chengtao Lv; Liang Ding 006; Haotong Qin; Xiabin Zhou; Yifu Ding 001; Xuebo Liu 002; Min Zhang 005; Jinyang Guo 002; Xianglong Liu 001; Dacheng Tao (ACL (Findings), 2024)

Reg-PTQ: Regression-specialized Post-training Quantization for Fully Quantized Object Detector. - Yifu Ding 001; Weilun Feng; Chuyan Chen; Jinyang Guo 002; Xianglong Liu 001 (CVPR, 2024)

LTA-PCS: Learnable Task-Agnostic Point Cloud Sampling. - Jiaheng Liu; Jianhao Li; Kaisiyuan Wang; Hongcheng Guo; Jian Yang 030; Junran Peng; Ke Xu 001; Xianglong Liu 001; Jinyang Guo 002 (CVPR, 2024)

PTQ4SAM: Post-Training Quantization for Segment Anything. - Chengtao Lv; Hong Chen 004; Jinyang Guo 002; Yifu Ding 001; Xianglong Liu 001 (CVPR, 2024)

Compressing Large Language Models by Joint Sparsification and Quantization. - Jinyang Guo 002; Jianyu Wu; Zining Wang; Jiaheng Liu; Ge Yang; Yifu Ding 001; Ruihao Gong; Haotong Qin; Xianglong Liu 001 (ICML, 2024)

QVD: Post-training Quantization for Video Diffusion Models. - Shilong Tian; Hong Chen 014; Chengtao Lv; Yu Liu 031; Jinyang Guo 002; Xianglong Liu 001; Shengxi Li; Hao Yang 008; Tao Xie (ACM Multimedia, 2024)

PTSBench: A Comprehensive Post-Training Sparsity Benchmark Towards Algorithms and Models. - Zining Wang; Jinyang Guo 002; Ruihao Gong; Yang Yong; Aishan Liu; Yushi Huang; Jiaheng Liu; Xianglong Liu 001 (ACM Multimedia, 2024)

VRDistill: Vote Refinement Distillation for Efficient Indoor 3D Object Detection. - Ze Yuan; Jinyang Guo 002; Dakai An; Junran Wu; He Zhu; Jianhao Li; Xueyuan Chen; Ke Xu 001; Jiaheng Liu (ACM Multimedia, 2024)

LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment. - Ge Yang; Changyi He; Jinyang Guo 002; Jianyu Wu; Yifu Ding 001; Aishan Liu; Haotong Qin; Pengliang Ji; Xianglong Liu 001 (NeurIPS, 2024)

BiDM: Pushing the Limit of Quantization for Diffusion Models. - Xingyu Zheng; Xianglong Liu 001; Yichen Bian; Xudong Ma; Yulun Zhang 001; Jiakai Wang; Jinyang Guo 002; Haotong Qin (NeurIPS, 2024)

BinaryDM: Towards Accurate Binarization of Diffusion Model. - Xingyu Zheng; Haotong Qin; Xudong Ma; Mingyuan Zhang; Haojie Hao; Jiakai Wang; Zixiang Zhao; Jinyang Guo 002; Xianglong Liu 001 (CoRR, 2024)

PTQ4SAM: Post-Training Quantization for Segment Anything. - Chengtao Lv; Hong Chen 014; Jinyang Guo 002; Yifu Ding 001; Xianglong Liu 001 (CoRR, 2024)

A Survey of Low-bit Large Language Models: Basics, Systems, and Algorithms. - Ruihao Gong; Yifu Ding 001; Zining Wang; Chengtao Lv; Xingyu Zheng; Jinyang Du; Haotong Qin; Jinyang Guo 002; Michele Magno; Xianglong Liu 001 (CoRR, 2024)

Multidimensional Pruning and Its Extension: A Unified Framework for Model Compression. - Jinyang Guo 002; Dong Xu 001; Wanli Ouyang (IEEE Trans. Neural Networks Learn. Syst., 2024)

AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints. - Zhiwei Dong; Mingzhu Shen; Shihao Bai; Xiuying Wei; Jinyang Guo 002; Ruihao Gong; Song-Lu Chen; Xianglong Liu 001; Xu-Cheng Yin (AAAI, 2025)

LawDNet: Enhanced Audio-Driven Lip Synthesis via Local Affine Warping Deformation. - Junli Deng; Yihao Luo; Xueting Yang; Siyou Li; Wei Wang; Jinyang Guo 002; Ping Shi 001 (ICASSP, 2025)

Low-Bit FlashAttention Accelerated Operator Design Based on Triton. - Jinyang Du; Jinyang Guo 002; Yifu Ding 001 (ICCVW, 2025)

ECLR'25: 2nd Workshop on Efficient Computing Under Limited Resources: Visual Computing. - Jinyang Guo 002; Zhenghao Chen; Yuqing Ma; Yifu Ding 001; Xianglong Liu 001; Jinman Kim; Wanli Ouyang; Dacheng Tao (ICCVW, 2025)

CMT: A Cascade MAR with Topology Predictor for Multimodal Conditional CAD Generation. - Jianyu Wu; Yizhou Wang 007; Xiangyu Yue 001; Xinzhu Ma; Jinyang Guo 002; Dongzhan Zhou; Wanli Ouyang; Shixiang Tang (ICCV, 2025)

BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models. - Xingyu Zheng; Xianglong Liu 001; Haotong Qin; Xudong Ma; Mingyuan Zhang; Haojie Hao; Jiakai Wang; Zixiang Zhao; Jinyang Guo 002; Michele Magno (ICLR, 2025)

DynaSplat: Dynamic-Static Gaussian Splatting with Hierarchical Motion Decomposition for Scene Reconstruction. - Junli Deng; Ping Shi 001; Qipei Li; Jinyang Guo 002 (ICME, 2025)

DA-KD: Difficulty-Aware Knowledge Distillation for Efficient Large Language Models. - Changyi He; Yifu Ding 001; Jinyang Guo 002; Ruihao Gong; Haotong Qin; Xianglong Liu 001 (ICML, 2025)

HarmoniCa: Harmonizing Training and Inference for Better Feature Caching in Diffusion Transformer Acceleration. - Yushi Huang; Zining Wang; Ruihao Gong; Jing Liu 048; Xinjie Zhang; Jinyang Guo 002; Xianglong Liu 001; Jun Zhang 004 (ICML, 2025)

Model Compression for Efficient Generative AI. - Jinyang Guo 002 (RichMediaGAI@MM, 2025)

SLMQuant: Benchmarking Small Language Model Quantization for Practical Deployment. - Jiacheng Wang; Yejun Zeng; Jinyang Guo 002; Yuqing Ma; Aishan Liu; Xianglong Liu 001 (RichMediaGAI@MM, 2025)

A survey of low-bit large language models: Basics, systems, and algorithms. - Ruihao Gong; Yifu Ding 001; Zining Wang; Chengtao Lv; Xingyu Zheng; Jinyang Du; Yang Yong; Shiqiao Gu; Haotong Qin; Jinyang Guo 002; Dahua Lin; Michele Magno; et al. (Neural Networks, 2025)

Physics of Motion, Geometry of Cohesion: A Silky Gaussian Head Avatar Framework. - Junli Deng; Ping Shi 001; Qipei Li; Jinyang Guo 002 (IEEE Signal Process. Lett., 2025)

Prune and Merge: Efficient Token Compression for Vision Transformer With Spatial Information Preserved. - Junzhu Mao; Yang Shen 006; Jinyang Guo 002; Yazhou Yao; Xian-Sheng Hua 001; Hengtao Shen (IEEE Trans. Multim., 2025)

Efficient Token Compression for Vision Transformer with Spatial Information Preserved. - Junzhu Mao; Yang Shen 006; Jinyang Guo 002; Yazhou Yao; Xian-Sheng Hua 001 (CoRR, 2025)

An Empirical Study of Qwen3 Quantization. - Xingyu Zheng; Yuye Li; Haoran Chu; Yue Feng; Xudong Ma; Jie Luo 004; Jinyang Guo 002; Haotong Qin; Michele Magno; Xianglong Liu 001 (CoRR, 2025)

AGENTSAFE: Benchmarking the Safety of Embodied Agents on Hazardous Instructions. - Aishan Liu; Zonghao Ying; Le Wang 014; Junjie Mu; Jinyang Guo 002; Jiakai Wang; Yuqing Ma; Siyuan Liang 004; Mingchuan Zhang; Xianglong Liu 001; Dacheng Tao (CoRR, 2025)

SPEAR: Structured Pruning for Spiking Neural Networks via Synaptic Operation Estimation and Reinforcement Learning. - Hui Xie; Yuhe Liu; Shaoqi Yang; Jinyang Guo 002; Yufei Guo; Yuqing Ma; Jiaxin Chen; Jiaheng Liu; Xianglong Liu 001 (CoRR, 2025)

First-Order Error Matters: Accurate Compensation for Quantized Large Language Models. - Xingyu Zheng; Haotong Qin; Yuye Li; Jiakai Wang; Jinyang Guo 002; Michele Magno; Xianglong Liu 001 (CoRR, 2025)

Pushing the Limit of Post-Training Quantization. - Ruihao Gong; Xianglong Liu 001; Yuhang Li 001; Yunqian Fan; Xiuying Wei; Jinyang Guo 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

SLMQuant:Benchmarking Small Language Model Quantization for Practical Deployment. - Jiacheng Wang; Yejun Zeng; Jinyang Guo 002; Yuqing Ma; Aishan Liu; Xianglong Liu 001 (CoRR, 2025)

MoDES: Accelerating Mixture-of-Experts Multimodal Large Language Models via Dynamic Expert Skipping. - Yushi Huang; Zining Wang; Zhihang Yuan; Yifu Ding 001; Ruihao Gong; Jinyang Guo 002; Xianglong Liu 001; Jun Zhang 004 (CoRR, 2025)

Context as a Tool: Context Management for Long-Horizon SWE-Agents. - Shukai Liu; Jian Yang 003; Bo Jiang 002; Yizhi Li; Jinyang Guo 002; Xianglong Liu 001; Bryan Dai (CoRR, 2025)

CMedBench: A Comprehensive Benchmark for Efficient Medical Large Language Models. - Shengbo Gao; Jinyang Guo 002; Lixian Su; Yifu Ding 001; Shiqiao Gu; Aishan Liu; Yuqing Ma; Zhiwang Zhang; Xianglong Liu 001 (AAAI, 2026)

First-Order Error Matters: Accurate Compensation for Quantized Large Language Models. - Xingyu Zheng; Haotong Qin; Yuye Li; Haoran Chu; Jiakai Wang; Jinyang Guo 002; Michele Magno; Xianglong Liu 001 (AAAI, 2026)

AFTER: Mitigating the Object Hallucination of LVLM via Adaptive Factual-Guided Activation Editing. - Tianbo Wang; Yuqing Ma; Kewei Liao; Zhange Zhang; Simin Li; Jinyang Guo 002; Xianglong Liu 001 (CoRR, 2026)

Advances and Innovations in the Multi-Agent Robotic System (MARS) Challenge. - Li Kang; Heng Zhou; Xiufeng Song; Rui Li 054; Bruno N. Y. Chen; Ziye Wang; Ximeng Meng; Stone Tao; Yiran Qin; Xiaohong Liu 001; Ruimao Zhang; Lei Bai 001; et al. (CoRR, 2026)

SafeBench: A Safety Evaluation Framework for Multimodal Large Language Models. - Zonghao Ying; Aishan Liu; Siyuan Liang 004; Lei Huang 015; Jinyang Guo 002; Wenbo Zhou 004; Xianglong Liu 001; Dacheng Tao (Int. J. Comput. Vis., 2026)

Diagonal-Tiled Mixed-Precision Attention for Efficient Low-Bit MXFP Inference. - Yifu Ding 001; Xinhao Zhang; Jinyang Guo 002 (CoRR, 2026)

BWTA: Accurate and Efficient Binarized Transformer by Algorithm-Hardware Co-design. - Yifu Ding 001; Xianglong Liu 001; Shenghao Jin; Jinyang Guo 002; Jiwen Lu (CoRR, 2026)

QuantSR+: Pushing the Limit of Quantized Image Super-Resolution Networks. - Haotong Qin; Xudong Ma; Xianglong Liu 001; Jie Luo 004; Jinyang Guo 002; Michele Magno; Yulun Zhang 001 (CoRR, 2026)