Xinzhu Ma

According to our database, Xinzhu Ma authored at least 63 papers between 2016 and 2026.

Collaborative distances:

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

2026

S3Mem: Structured Spatiotemporal Scene-Event Memory for Long-Horizon Interactive Question Answering.

Encheng Su, Jinouwen Zhang, Jianyu Wu, Qiucheng Yu, Chen Tang, Pengze Li, Lintao Wang, Yizhou Wang, Xinzhu Ma, Shixiang Tang, Aoran Wang

CoRR, May, 2026

LabBuilder: Protocol-Grounded 3D Layout Generation for Interactable and Safe Laboratory.

Jianbao Cao, Zhangrui Zhao, Bohan Feng, Zixuan Hu, Rui Li, Haiyuan Wan, Chenxi Li, Jingyuan Li, Wenzhe Cai, Lei Bai, Wanli Ouyang, Lingyu Duan, Di Huang, Minting Pan, Sha Zhang, Xinzhu Ma, Shixiang Tang, Dongzhan Zhou

CoRR, May, 2026

TreeGaussian: Tree-Guided Cascaded Contrastive Learning for Hierarchical Consistent 3D Gaussian Scene Segmentation and Understanding.

Jingbin You, Zehao Li, Hao Jiang, Xinzhu Ma, Shuqin Gao, Honglong Zhao, Congcong Zheng, Tianlu Mao, Feng Dai, Yucheng Zhang, Zhaoqi Wang

CoRR, April, 2026

EruDiff: Refactoring Knowledge in Diffusion Models for Advanced Text-to-Image Synthesis.

Xiefan Guo, Xinzhu Ma, Haoxiang Ma, Zihao Zhou, Di Huang

CoRR, March, 2026

CTCal: Rethinking Text-to-Image Diffusion Models via Cross-Timestep Self-Calibration.

Xiefan Guo, Xinzhu Ma, Haiyu Zhang, Di Huang

CoRR, March, 2026

GraspLDP: Towards Generalizable Grasping Policy via Latent Diffusion.

Enda Xiang, Haoxiang Ma, Xinzhu Ma, Zicheng Liu, Di Huang

CoRR, February, 2026

Charting Empirical Laws for LLM Fine-Tuning in Scientific Multi-Discipline Learning.

Lintao Wang, Zhuqiang Lu, Yilin Zhu, Kun Hu, Zhenfei Yin, Shixiang Tang, Zhiyong Wang, Wanli Ouyang, Xinzhu Ma

CoRR, February, 2026

Toward an Effective Action-Region Tracking Framework for Fine-Grained Video Action Recognition.

Baoli Sun, Yihan Wang, Xinzhu Ma, Zhi-Hui Wang, Kun Lu, Zhiyong Wang

IEEE Trans. Neural Networks Learn. Syst., January, 2026

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

IEEE Trans. Pattern Anal. Mach. Intell., January, 2026

SciIF: Benchmarking Scientific Instruction Following Towards Rigorous Scientific Intelligence.

Encheng Su, Jianyu Wu, Chen Tang, Lintao Wang, Pengze Li, Aoran Wang, Jinouwen Zhang, Yizhou Wang, Yuan Meng, Xinzhu Ma, Shixiang Tang, Houqiang Li

CoRR, January, 2026

UniAlign: A Universal Cross-Modality Knowledge Alignment Framework for Fine-Grained Action Recognition.

Yihan Wang, Baoli Sun, Haojie Li, Xinzhu Ma, Zhihui Wang, Zhiyong Wang

IEEE Trans. Multim., 2026

Towards unbiased source-free object detection via vision foundation models.

Zhi Cai, Yingjie Gao, Yanan Zhang, Xinzhu Ma, Di Huang

Pattern Recognit., 2026

2025

Towards an Effective Action-Region Tracking Framework for Fine-grained Video Action Recognition.

Baoli Sun, Yihan Wang, Xinzhu Ma, Zhihui Wang, Kun Lu, Zhiyong Wang

CoRR, November, 2025

Real-Time Depth Completion With Multimodal Feature Alignment.

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

IEEE Trans. Neural Networks Learn. Syst., September, 2025

SciReasoner: Laying the Scientific Reasoning Ground Across Disciplines.

Yizhou Wang, Chen Tang, Han Deng, Jiabei Xiao, Jiaqi Liu, Jianyu Wu, Jun Yao, Pengze Li, Encheng Su, Lintao Wang, Guohang Zhuang, Yuchen Ren, Ben Fei, Ming Hu, Xin Chen, Dongzhan Zhou, Junjun He, Xiangyu Yue, Zhenfei Yin, Jiamin Wu, Qihao Zheng, Yuhao Zhou, Huihui Xu, Chenglong Ma, Yan Lu, Wenlong Zhang, Chunfeng Song, Philip Torr, Shixiang Tang, Xinzhu Ma, Wanli Ouyang, Lei Bai

CoRR, September, 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

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

P$^{2}$M: Progressive Perspective Mining for Referring Video Object Segmentation.

Yihan Wang, Baoli Sun, Xinzhu Ma, Hongwei Ge, Jiulin Fan, Haojie Li

IEEE Trans. Multim., 2025

Referring Video Object Segmentation With Cross-Modality Proxy Queries.

Baoli Sun, Xinzhu Ma, Ning Wang, Zhihui Wang, Zhiyong Wang

IEEE Trans. Multim., 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

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 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

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

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

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

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

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 37: 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 37: 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 37: 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