BiViT: Extremely Compressed Binary Vision Transformer. - Yefei He; Zhenyu Lou; Luoming Zhang; Weijia Wu 001; Bohan Zhuang; Hong Zhou (CoRR, 2022)

BiViT: Extremely Compressed Binary Vision Transformers. - Yefei He; Zhenyu Lou; Luoming Zhang; Jing Liu 048; Weijia Wu 001; Hong Zhou; Bohan Zhuang (ICCV, 2023)

Dual Grained Quantization: Efficient Fine-Grained Quantization for LLM. - Luoming Zhang; Wen Fei; Weijia Wu 001; Yefei He; Zhenyu Lou; Hong Zhou (CoRR, 2023)

Root quantization: a self-adaptive supplement STE. - Luoming Zhang; Yefei He; Zhenyu Lou; Xin Ye; Yuxing Wang; Hong Zhou (Appl. Intell., 2023)

Rethinking the Value of Local Feature Fusion in Convolutional Neural Networks. - Zhenyu Lou; Xin Ye; Luoming Zhang; Weijia Wu 001; Yefei He; Hong Zhou (Neural Process. Lett., 2023)

Multimodal Sense-Informed Forecasting of 3D Human Motions. - Zhenyu Lou; Qiongjie Cui; Haofan Wang; Xu Tang; Hong Zhou (CVPR, 2024)

Harmonizing Stochasticity and Determinism: Scene-responsive Diverse Human Motion Prediction. - Zhenyu Lou; Qiongjie Cui; Tuo Wang; Zhenbo Song; Luoming Zhang; Cheng Cheng; Haofan Wang; Xu Tang; Huaxia Li; Hong Zhou (NeurIPS, 2024)

Multimodal Sense-Informed Prediction of 3D Human Motions. - Zhenyu Lou; Qiongjie Cui; Haofan Wang; Xu Tang; Hong Zhou (CoRR, 2024)

DSText V2: A comprehensive video text spotting dataset for dense and small text. - Weijia Wu 001; Yiming Zhang; Yefei He; Luoming Zhang; Zhenyu Lou; Hong Zhou; Xiang Bai (Pattern Recognit., 2024)

Vision-Guided Action: Enhancing 3D Human Motion Prediction with Gaze-informed Affordance in 3D Scenes. - Ting Yu; Yi Lin; Jun Yu; Zhenyu Lou; Qiongjie Cui (CVPR, 2025)

Towards accurate post-training quantization for reparameterized models. - Luoming Zhang; Yefei He; Wen Fei; Zhenyu Lou; Weijia Wu 001; Yangwei Ying; Hong Zhou (Appl. Intell., 2025)

Toward Physically Stable Motion Generation: A New Paradigm of Human Pose Representation. - Qiongjie Cui; Zhenyu Lou; Zhenbo Song; Xiangbo Shu (IEEE Trans. Circuits Syst. Video Technol., 2025)