Guo, Jinyang

25 publications

ICLR 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, Xianglong Liu

ICLR 2026 MAS$^2$: Self-Generative, Self-Configuring, Self-Rectifying Multi-Agent Systems Kun Wang, Guibin Zhang, ManKit Ye, Xinyu Deng, Dongxia Wang, Xiaobin Hu, Jinyang Guo, Yang Liu, Yufei Guo

CVPR 2025 APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers Zhuguanyu Wu, Jiayi Zhang, Jiaxin Chen, Jinyang Guo, Di Huang, Yunhong Wang

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

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

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

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

ICML 2025 HarmoniCa: Harmonizing Training and Inference for Better Feature Caching in Diffusion Transformer Acceleration Yushi Huang, Zining Wang, Ruihao Gong, Jing Liu, Xinjie Zhang, Jinyang Guo, Xianglong Liu, Jun Zhang

AAAI 2025 Overcoming Heterogeneous Data in Federated Medical Vision-Language Pre-Training: A Triple-Embedding Model Selector Approach Aowen Wang, Zhiwang Zhang, Dongang Wang, Fanyi Wang, Haotian Hu, Jinyang Guo, Yipeng Zhou, Chaoyi Pang, Shiting Wen

AAAI 2025 TCAQ-DM: Timestep-Channel Adaptive Quantization for Diffusion Models Haocheng Huang, Jiaxin Chen, Jinyang Guo, Ruiyi Zhan, Yunhong Wang

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

NeurIPSW 2024 BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models Xingyu Zheng, Xianglong Liu, Haotong Qin, Xudong Ma, Mingyuan Zhang, Haojie Hao, Jiakai Wang, Zixiang Zhao, Jinyang Guo, Michele Magno

ICML 2024 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

NeurIPS 2024 DDK: Distilling Domain Knowledge for Efficient Large Language Models Jiaheng Liu, Chenchen Zhang, Jinyang Guo, Yuanxing Zhang, Haoran Que, Ken Deng, Zhiqi Bai, Jie Liu, Ge Zhang, Jiakai Wang, Yanan Wu, Congnan Liu, Jiamang Wang, Lin Qu, Wenbo Su, Bo Zheng

AAAI 2024 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

NeurIPS 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

CVPR 2024 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

CVPR 2024 PTQ4SAM: Post-Training Quantization for Segment Anything Chengtao Lv, Hong Chen, Jinyang Guo, Yifu Ding, Xianglong Liu

CVPR 2024 Reg-PTQ: Regression-Specialized Post-Training Quantization for Fully Quantized Object Detector Yifu Ding, Weilun Feng, Chuyan Chen, Jinyang Guo, Xianglong Liu

CVPR 2023 Annealing-Based Label-Transfer Learning for Open World Object Detection Yuqing Ma, Hainan Li, Zhange Zhang, Jinyang Guo, Shanghang Zhang, Ruihao Gong, Xianglong Liu

CVPR 2022 Coarse-to-Fine Deep Video Coding with Hyperprior-Guided Mode Prediction Zhihao Hu, Guo Lu, Jinyang Guo, Shan Liu, Wei Jiang, Dong Xu

ECCV 2022 CoupleFace: Relation Matters for Face Recognition Distillation Jiaheng Liu, Haoyu Qin, Yichao Wu, Jinyang Guo, Ding Liang, Ke Xu

CVPR 2022 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

AAAI 2020 Channel Pruning Guided by Classification Loss and Feature Importance Jinyang Guo, Wanli Ouyang, Dong Xu

CVPR 2020 Multi-Dimensional Pruning: A Unified Framework for Model Compression Jinyang Guo, Wanli Ouyang, Dong Xu