Xinzhu Ma

According to our database, Xinzhu Ma authored at least 44 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Intern-S1: A Scientific Multimodal Foundation Model.

Lei Bai, Zhongrui Cai, Yuhang Cao, Maosong Cao, Weihan Cao, Chiyu Chen, Haojiong Chen, Kai Chen, Pengcheng Chen, Ying Chen, Yongkang Chen, Yu Cheng, Pei Chu, Tao Chu, Erfei Cui, Ganqu Cui, Long Cui, Ziyun Cui, Nianchen Deng, Ning Ding, Nanqing Dong, Peijie Dong, Shihan Dou, Sinan Du, Haodong Duan, Caihua Fan, Ben Gao, Changjiang Gao, Jianfei Gao, Songyang Gao, Yang Gao, Zhangwei Gao, Jiaye Ge, Qiming Ge, Lixin Gu, Yuzhe Gu, Aijia Guo, Qipeng Guo, Xu Guo, Conghui He, Junjun He, Yili Hong, Siyuan Hou, Caiyu Hu, Hanglei Hu, Jucheng Hu, Ming Hu, Zhouqi Hua, Haian Huang, Junhao Huang, Xu Huang, Zixian Huang, Zhe Jiang, Lingkai Kong, Linyang Li, Peiji Li, Pengze Li, Shuaibin Li, Tianbin Li, Wei Li, Yuqiang Li, Dahua Lin, Junyao Lin, Tianyi Lin, Zhishan Lin, Hongwei Liu, Jiangning Liu, Jiyao Liu, Junnan Liu, Kai Liu, Kaiwen Liu, Kuikun Liu, Shichun Liu, Shudong Liu, Wei Liu, Xinyao Liu, Yuhong Liu, Zhan Liu, Yinquan Lu, Haijun Lv, Hongxia Lv, Huijie Lv, Qitan Lv, Ying Lv, Chengqi Lyu, Chenglong Ma, Jianpeng Ma, Ren Ma, Runmin Ma, Runyuan Ma, Xinzhu Ma, Yichuan Ma, Zihan Ma, Sixuan Mi, Junzhi Ning, Wenchang Ning, Xinle Pang, Jiahui Peng, Runyu Peng, Yu Qiao

CoRR, August, 2025

Propagating Sparse Depth via Depth Foundation Model for Out-of-Distribution Depth Completion.

Shenglun Chen, Xinzhu Ma, Hong Zhang, Haojie Li, Zhihui Wang

CoRR, August, 2025

Fitness aligned structural modeling enables scalable virtual screening with AuroBind.

Zhongyue Zhang, Jiahua Rao, Jie Zhong, Weiqiang Bai, Dongxue Wang, Shaobo Ning, Lifeng Qiao, Sheng Xu, Runze Ma, Will Hua, Jack Xiaoyu Chen, Odin Zhang, Wei Lu, Hanyi Feng, He Yang, Xinchao Shi, Rui Li, Wanli Ouyang, Xinzhu Ma, Jiahao Wang, Jixian Zhang, Jia Duan, Siqi Sun, Jian Zhang, Shuangjia Zheng

CoRR, August, 2025

PhysUniBench: An Undergraduate-Level Physics Reasoning Benchmark for Multimodal Models.

Lintao Wang, Encheng Su, Jiaqi Liu, Pengze Li, Peng Xia, Jiabei Xiao, Wenlong Zhang, Xinnan Dai, Xi Chen, Yuan Meng, Mingyu Ding, Lei Bai, Wanli Ouyang, Shixiang Tang, Aoran Wang, Xinzhu Ma

CoRR, June, 2025

SP-VLA: A Joint Model Scheduling and Token Pruning Approach for VLA Model Acceleration.

Ye Li, Yuan Meng, Zewen Sun, Kangye Ji, Chen Tang, Jiajun Fan, Xinzhu Ma, Shutao Xia, Zhi Wang, Wenwu Zhu

CoRR, June, 2025

CPRet: A Dataset, Benchmark, and Model for Retrieval in Competitive Programming.

Han Deng, Yuan Meng, Shixiang Tang, Wanli Ouyang, Xinzhu Ma

CoRR, May, 2025

Point2Primitive: CAD Reconstruction from Point Cloud by Direct Primitive Prediction.

Cheng Wang, Xinzhu Ma, Bin Wang, Shixiang Tang, Yuan Meng, Ping Jiang

CoRR, May, 2025

CMT: A Cascade MAR with Topology Predictor for Multimodal Conditional CAD Generation.

Jianyu Wu, Yizhou Wang, Xiangyu Yue, Xinzhu Ma, Jingyang Guo, Dongzhan Zhou, Wanli Ouyang, Shixiang Tang

CoRR, April, 2025

GUPNet++: Geometry Uncertainty Propagation Network for Monocular 3D Object Detection.

Yan Lu, Xinzhu Ma, Lei Yang, Tianzhu Zhang, Yating Liu, Qi Chu, Tong He, Yonghui Li, Wanli Ouyang

IEEE Trans. Pattern Anal. Mach. Intell., February, 2025

Propagating Sparse Depth via Depth Foundation Model for Out-of-Distribution Depth Completion.

Shenglun Chen, Xinzhu Ma, Hong Zhang, Haojie Li, Zhihui Wang

IEEE Trans. Image Process., 2025

3DAxisPrompt: Promoting the 3D grounding and reasoning in GPT-4o.

Dingning Liu, Cheng Wang, Peng Gao, Renrui Zhang, Xinzhu Ma, Yuan Meng, Zhihui Wang

Neurocomputing, 2025

Point2skh: End-to-end Parametric Primitive Inference from Point Clouds with Improved Denoising Transformer.

Cheng Wang, Wenyu Sun, Xinzhu Ma, Fei Deng

Comput. Aided Des., 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

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Push-and-Pull: A General Training Framework With Differential Augmentor for Domain Generalized Point Cloud Classification.

Jiahao Xu, Xinzhu Ma, Lin Zhang, Bo Zhang, Tao Chen

IEEE Trans. Circuits Syst. Video Technol., August, 2024

3D Object Detection From Images for Autonomous Driving: A Survey.

Xinzhu Ma, Wanli Ouyang, Andrea Simonelli, Elisa Ricci

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Learning Pixel-Wise Continuous Depth Representation via Clustering for Depth Completion.

Shenglun Chen, Hong Zhang, Xinzhu Ma, Zhihui Wang, Haojie Li

IEEE Trans. Circuits Syst. Video Technol., 2024

COMET: Benchmark for Comprehensive Biological Multi-omics Evaluation Tasks and Language Models.

Yuchen Ren, Wenwei Han, Qianyuan Zhang, Yining Tang, Weiqiang Bai, Yuchen Cai, Lifeng Qiao, Hao Jiang, Dong Yuan, Tao Chen, Siqi Sun, Pan Tan, Wanli Ouyang, Nanqing Dong, Xinzhu Ma, Peng Ye

CoRR, 2024

EMS: Adaptive Evict-then-Merge Strategy for Head-wise KV Cache Compression Based on Global-Local Importance.

Yingxin Li, Ye Li, Yuan Meng, Xinzhu Ma, Zihan Geng, Shutao Xia, Zhi Wang

CoRR, 2024

PRANCE: Joint Token-Optimization and Structural Channel-Pruning for Adaptive ViT Inference.

Ye Li, Chen Tang, Yuan Meng, Jiajun Fan, Zenghao Chai, Xinzhu Ma, Zhi Wang, Wenwu Zhu

CoRR, 2024

Evaluating the Generalization Ability of Quantized LLMs: Benchmark, Analysis, and Toolbox.

Yijun Liu, Yuan Meng, Fang Wu, Shenhao Peng, Hang Yao, Chaoyu Guan, Chen Tang, Xinzhu Ma, Zhi Wang, Wenwu Zhu

CoRR, 2024

TMPQ-DM: Joint Timestep Reduction and Quantization Precision Selection for Efficient Diffusion Models.

Haojun Sun, Chen Tang, Zhi Wang, Yuan Meng, Jingyan Jiang, Xinzhu Ma, Wenwu Zhu

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Rethinking the BERT-like Pretraining for DNA Sequences.

Chaoqi Liang, Weiqiang Bai, Lifeng Qiao, Yuchen Ren, Jianle Sun, Peng Ye, Hongliang Yan, Xinzhu Ma, Wangmeng Zuo, Wanli Ouyang

CoRR, 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

Proceedings of the Eleventh International Conference on Learning Representations, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

An Empirical Study of Pseudo-Labeling for Image-based 3D Object Detection.

Xinzhu Ma, Yuan Meng, Yinmin Zhang, Lei Bai, Jun Hou, Shuai Yi, Wanli Ouyang

CoRR, 2022

Better Teacher Better Student: Dynamic Prior Knowledge for Knowledge Distillation.

Zengyu Qiu, Xinzhu Ma, Kunlin Yang, Chunya Liu, Jun Hou, Shuai Yi, Wanli Ouyang

CoRR, 2022

MonoDistill: Learning Spatial Features for Monocular 3D Object Detection.

Zhiyu Chong, Xinzhu Ma, Hong Zhang, Yuxin Yue, Haojie Li, Zhihui Wang, Wanli Ouyang

Proceedings of the Tenth International Conference on Learning Representations, 2022

Scale-Prior Deformable Convolution for Exemplar-Guided Class-Agnostic Counting.

Wei Lin, Kunlin Yang, Xinzhu Ma, Junyu Gao, Lingbo Liu, Shinan Liu, Jun Hou, Shuai Yi, Antoni B. Chan

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Learning Geometry-Guided Depth via Projective Modeling for Monocular 3D Object Detection.

Yinmin Zhang, Xinzhu Ma, Shuai Yi, Jun Hou, Zhihui Wang, Wanli Ouyang, Dan Xu

CoRR, 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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Delving Into Localization Errors for Monocular 3D Object Detection.

Xinzhu Ma, Yinmin Zhang, Dan Xu, Dongzhan Zhou, Shuai Yi, Haojie Li, Wanli Ouyang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Rethinking Pseudo-LiDAR Representation.

Xinzhu Ma, Shinan Liu, Zhiyi Xia, Hongwen Zhang, Xingyu Zeng, Wanli Ouyang

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Learning to Segment Unseen Category Objects using Gradient Gaussian Attention.

Pengbo Zhang, Zhihui Wang, Xinzhu Ma, Haojie Li, Jianjun Li

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Self-Adaption Multi-classifier Fusion Networks for Image Recognition.

Zengyuan Guo, Xinzhu Ma, Haojie Li, Zhihui Wang, Pengbo Zhang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Accurate Monocular 3D Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving.

Xinzhu Ma, Zhihui Wang, Haojie Li, Pengbo Zhang, Wanli Ouyang, Xin Fan

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Disparity-Based Robust Unstructured Terrain Segmentation.

Pengbo Zhang, Xinzhu Ma, Zhihui Wang, Haojie Li, Zhongxuan Luo

Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

User-Guided Deep Anime Line Art Colorization with Conditional Adversarial Networks.

Yuanzheng Ci, Xinzhu Ma, Zhihui Wang, Haojie Li, Zhongxuan Luo

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

2016

An Efficient Protocol With Bidirectional Verification for Storage Security in Cloud Computing.

Bin Feng, Xinzhu Ma, Cheng Guo, Hui Shi, Zhangjie Fu, Tie Qiu

IEEE Access, 2016