Ma, Xinzhu

18 publications

ICCV 2025 Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection Under Test-Time Shifts Zixuan Hu, Dongxiao Li, Xinzhu Ma, Shixiang Tang, Xiaotong Li, Wenhan Yang, Ling-Yu Duan
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
NeurIPS 2025 CPRet: A Dataset, Benchmark, and Model for Retrieval in Competitive Programming Han Deng, Yuan Meng, Shixiang Tang, Wanli Ouyang, Xinzhu Ma
CVPR 2025 Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers Lei Chen, Yuan Meng, Chen Tang, Xinzhu Ma, Jingyan Jiang, Xin Wang, Zhi Wang, Wenwu Zhu
ICLR 2025 Revisiting Convolution Architecture in the Realm of DNA Foundation Models Yu Bo, Weian Mao, Yanjun Shao, Weiqiang Bai, Peng Ye, Xinzhu Ma, Junbo Zhao, Hao Chen, Chunhua Shen
ICCV 2025 RobAVA: A Large-Scale Dataset and Baseline Towards Video Based Robotic Arm Action Understanding Baoli Sun, Ning Wang, Xinzhu Ma, Anqi Zou, Yihang Lu, Chuixuan Fan, Zhihui Wang, Kun Lu, Zhiyong Wang
CVPR 2025 UniSTD: Towards Unified Spatio-Temporal Learning Across Diverse Disciplines Chen Tang, Xinzhu Ma, Encheng Su, Xiufeng Song, Xiaohong Liu, Wei-Hong Li, Lei Bai, Wanli Ouyang, Xiangyu Yue
NeurIPS 2025 Venus-MAXWELL: Efficient Learning of Protein-Mutation Stability Landscapes Using Protein Language Models Yuanxi Yu, Fan Jiang, Xinzhu Ma, Liang Zhang, Bozitao Zhong, Wanli Ouyang, Guisheng Fan, Huiqun Yu, Liang Hong, Mingchen Li
NeurIPS 2024 BEACON: Benchmark for Comprehensive RNA Tasks and Language Models Yuchen Ren, Zhiyuan Chen, Lifeng Qiao, Hongtai Jing, Yuchen Cai, Sheng Xu, Peng Ye, Xinzhu Ma, Siqi Sun, Hongliang Yan, Dong Yuan, Wanli Ouyang, Xihui Liu
NeurIPS 2024 Model Decides How to Tokenize: Adaptive DNA Sequence Tokenization with MxDNA Lifeng Qiao, Peng Ye, Yuchen Ren, Weiqiang Bai, Chaoqi Liang, Xinzhu Ma, Nanqing Dong, Wanli Ouyang
NeurIPS 2024 ProSST: Protein Language Modeling with Quantized Structure and Disentangled Attention Mingchen Li, Yang Tan, Xinzhu Ma, Bozitao Zhong, Huiqun Yu, Ziyi Zhou, Wanli Ouyang, Bingxin Zhou, Pan Tan, Liang Hong
CVPR 2024 Retraining-Free Model Quantization via One-Shot Weight-Coupling Learning Chen Tang, Yuan Meng, Jiacheng Jiang, Shuzhao Xie, Rongwei Lu, Xinzhu Ma, Zhi Wang, Wenwu Zhu
ICLR 2023 Better Teacher Better Student: Dynamic Prior Knowledge for Knowledge Distillation Martin Zong, Zengyu Qiu, Xinzhu Ma, Kunlin Yang, Chunya Liu, Jun Hou, Shuai Yi, Wanli Ouyang
ICCV 2023 Towards Fair and Comprehensive Comparisons for Image-Based 3D Object Detection Xinzhu Ma, Yongtao Wang, Yinmin Zhang, Zhiyi Xia, Yuan Meng, Zhihui Wang, Haojie Li, Wanli Ouyang
ICLR 2022 MonoDistill: Learning Spatial Features for Monocular 3D Object Detection Zhiyu Chong, Xinzhu Ma, Hong Zhang, Yuxin Yue, Haojie Li, Zhihui Wang, Wanli Ouyang
CVPR 2021 Delving into Localization Errors for Monocular 3D Object Detection Xinzhu Ma, Yinmin Zhang, Dan Xu, Dongzhan Zhou, Shuai Yi, Haojie Li, Wanli Ouyang
ICCV 2021 Geometry Uncertainty Projection Network for Monocular 3D Object Detection Yan Lu, Xinzhu Ma, Lei Yang, Tianzhu Zhang, Yating Liu, Qi Chu, Junjie Yan, Wanli Ouyang
ECCV 2020 Rethinking Pseudo-LiDAR Representation Xinzhu Ma, Shinan Liu, Zhiyi Xia, Hongwen Zhang, Xingyu Zeng, Wanli Ouyang