An Efficient Protocol With Bidirectional Verification for Storage Security in Cloud Computing. - Bin Feng 002; Xinzhu Ma; Cheng Guo 001; Hui Shi; Zhangjie Fu; Tie Qiu 001 (IEEE Access, 2016)

User-Guided Deep Anime Line Art Colorization with Conditional Adversarial Networks. - Yuanzheng Ci; Xinzhu Ma; Zhihui Wang 001; Haojie Li; Zhongxuan Luo (ACM Multimedia, 2018)

Disparity-Based Robust Unstructured Terrain Segmentation. - Pengbo Zhang; Xinzhu Ma; Zhihui Wang 001; Haojie Li; Zhongxuan Luo (PRCV (4), 2018)

Accurate Monocular 3D Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving. - Xinzhu Ma; Zhihui Wang 001; Haojie Li; Pengbo Zhang; Wanli Ouyang; Xin Fan 001 (ICCV, 2019)

Self-Adaption Multi-classifier Fusion Networks for Image Recognition. - Zengyuan Guo; Xinzhu Ma; Haojie Li; Zhihui Wang 001; Pengbo Zhang (ICME, 2019)

Learning to Segment Unseen Category Objects using Gradient Gaussian Attention. - Pengbo Zhang; Zhihui Wang 001; Xinzhu Ma; Haojie Li; Jianjun Li (ICME, 2019)

Rethinking Pseudo-LiDAR Representation. - Xinzhu Ma; Shinan Liu; Zhiyi Xia; Hongwen Zhang 001; Xingyu Zeng; Wanli Ouyang (ECCV (13), 2020)

Delving Into Localization Errors for Monocular 3D Object Detection. - Xinzhu Ma; Yinmin Zhang; Dan Xu 002; Dongzhan Zhou; Shuai Yi; Haojie Li; Wanli Ouyang (CVPR, 2021)

Geometry Uncertainty Projection Network for Monocular 3D Object Detection. - Yan Lu 001; Xinzhu Ma; Lei Yang 045; Tianzhu Zhang 001; Yating Liu; Qi Chu 001; Junjie Yan; Wanli Ouyang (ICCV, 2021)

Learning Geometry-Guided Depth via Projective Modeling for Monocular 3D Object Detection. - Yinmin Zhang; Xinzhu Ma; Shuai Yi; Jun Hou; Zhihui Wang 001; Wanli Ouyang; Dan Xu 002 (CoRR, 2021)

Scale-Prior Deformable Convolution for Exemplar-Guided Class-Agnostic Counting. - Wei Lin 018; Kunlin Yang; Xinzhu Ma; Junyu Gao 001; Lingbo Liu; Shinan Liu; Jun Hou; Shuai Yi; Antoni B. Chan (BMVC, 2022)

MonoDistill: Learning Spatial Features for Monocular 3D Object Detection. - Zhiyu Chong; Xinzhu Ma; Hong Zhang 011; Yuxin Yue; Haojie Li; Zhihui Wang 001; Wanli Ouyang (ICLR, 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)

An Empirical Study of Pseudo-Labeling for Image-based 3D Object Detection. - Xinzhu Ma; Yuan Meng; Yinmin Zhang; Lei Bai 001; Jun Hou; Shuai Yi; Wanli Ouyang (CoRR, 2022)

Towards Fair and Comprehensive Comparisons for Image-Based 3D Object Detection. - Xinzhu Ma; Yongtao Wang; Yinmin Zhang; Zhiyi Xia; Yuan Meng; Zhihui Wang 001; Haojie Li; Wanli Ouyang (ICCV, 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 (ICLR, 2023)

Rethinking the BERT-like Pretraining for DNA Sequences. - Chaoqi Liang; Weiqiang Bai; Lifeng Qiao; Yuchen Ren 001; Jianle Sun; Peng Ye 006; Hongliang Yan; Xinzhu Ma; Wangmeng Zuo; Wanli Ouyang (CoRR, 2023)

Retraining-free Model Quantization via One-Shot Weight-Coupling Learning. - Chen Tang; Yuan Meng; Jiacheng Jiang; Shuzhao Xie; Rongwei Lu; Xinzhu Ma; Zhi Wang 001; Wenwu Zhu 001 (CVPR, 2024)

ProSST: Protein Language Modeling with Quantized Structure and Disentangled Attention. - Mingchen Li; Yang Tan 001; Xinzhu Ma; Bozitao Zhong; Huiqun Yu; Ziyi Zhou; Wanli Ouyang; Bingxin Zhou; Pan Tan; Liang Hong (NeurIPS, 2024)

Model Decides How to Tokenize: Adaptive DNA Sequence Tokenization with MxDNA. - Lifeng Qiao; Peng Ye 006; Yuchen Ren 001; Weiqiang Bai; Chaoqi Liang; Xinzhu Ma; Nanqing Dong; Wanli Ouyang (NeurIPS, 2024)

BEACON: Benchmark for Comprehensive RNA Tasks and Language Models. - Yuchen Ren 001; Zhiyuan Chen; Lifeng Qiao; Hongtai Jing; Yuchen Cai; Sheng Xu; Peng Ye 006; Xinzhu Ma; Siqi Sun; Hongliang Yan; Dong Yuan; Wanli Ouyang; et al. (NeurIPS, 2024)

TMPQ-DM: Joint Timestep Reduction and Quantization Precision Selection for Efficient Diffusion Models. - Haojun Sun; Chen Tang; Zhi Wang 001; Yuan Meng; Jingyan Jiang; Xinzhu Ma; Wenwu Zhu 001 (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 001; Wenwu Zhu 001 (CoRR, 2024)

PRANCE: Joint Token-Optimization and Structural Channel-Pruning for Adaptive ViT Inference. - Ye Li 016; Chen Tang; Yuan Meng; Jiajun Fan; Zenghao Chai; Xinzhu Ma; Zhi Wang 001; Wenwu Zhu 001 (CoRR, 2024)

EMS: Adaptive Evict-then-Merge Strategy for Head-wise KV Cache Compression Based on Global-Local Importance. - Yingxin Li; Ye Li 016; Yuan Meng; Xinzhu Ma; Zihan Geng; Shutao Xia; Zhi Wang 001 (CoRR, 2024)

COMET: Benchmark for Comprehensive Biological Multi-omics Evaluation Tasks and Language Models. - Yuchen Ren 001; Wenwei Han; Qianyuan Zhang; Yining Tang; Weiqiang Bai; Yuchen Cai; Lifeng Qiao; Hao Jiang; Dong Yuan; Tao Chen 003; Siqi Sun; Pan Tan; et al. (CoRR, 2024)

Learning Pixel-Wise Continuous Depth Representation via Clustering for Depth Completion. - Shenglun Chen; Hong Zhang 011; Xinzhu Ma; Zhihui Wang 001; Haojie Li (IEEE Trans. Circuits Syst. Video Technol., 2024)

3D Object Detection From Images for Autonomous Driving: A Survey. - Xinzhu Ma; Wanli Ouyang; Andrea Simonelli; Elisa Ricci 001 (IEEE Trans. Pattern Anal. Mach. Intell., 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 069; Tao Chen 003 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers. - Lei Chen; Yuan Meng; Chen Tang; Xinzhu Ma; Jingyan Jiang; Xin Wang 019; Zhi Wang 001; Wenwu Zhu 001 (CVPR, 2025)

UniSTD: Towards Unified Spatio-Temporal Learning across Diverse Disciplines. - Chen Tang; Xinzhu Ma; Encheng Su; Xiufeng Song; Xiaohong Liu 001; Wei-Hong Li; Lei Bai 001; Wanli Ouyang; Xiangyu Yue 001 (CVPR, 2025)

Revisiting Convolution Architecture in the Realm of DNA Foundation Models. - Yu Bo; Weian Mao; Yanjun Shao; Weiqiang Bai; Peng Ye 006; Xinzhu Ma; Junbo Zhao; Hao Chen 041; Chunhua Shen (ICLR, 2025)

Point2skh: End-to-end Parametric Primitive Inference from Point Clouds with Improved Denoising Transformer. - Cheng Wang 026; Wenyu Sun; Xinzhu Ma; Fei Deng (Comput. Aided Des., 2025)

3DAxisPrompt: Promoting the 3D grounding and reasoning in GPT-4o. - Dingning Liu; Cheng Wang 026; Peng Gao 007; Renrui Zhang; Xinzhu Ma; Yuan Meng; Zhihui Wang 001 (Neurocomputing, 2025)

Propagating Sparse Depth via Depth Foundation Model for Out-of-Distribution Depth Completion. - Shenglun Chen; Xinzhu Ma; Hong Zhang 011; Haojie Li; Zhihui Wang 001 (IEEE Trans. Image Process., 2025)

GUPNet++: Geometry Uncertainty Propagation Network for Monocular 3D Object Detection. - Yan Lu 001; Xinzhu Ma; Lei Yang 045; Tianzhu Zhang 001; Yating Liu; Qi Chu 001; Tong He 001; Yonghui Li 001; Wanli Ouyang (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

CMT: A Cascade MAR with Topology Predictor for Multimodal Conditional CAD Generation. - Jianyu Wu; Yizhou Wang 007; Xiangyu Yue 001; Xinzhu Ma; Jingyang Guo; Dongzhan Zhou; Wanli Ouyang; Shixiang Tang (CoRR, 2025)

Point2Primitive: CAD Reconstruction from Point Cloud by Direct Primitive Prediction. - Cheng Wang; Xinzhu Ma; Bin Wang; Shixiang Tang; Yuan Meng; Ping Jiang (CoRR, 2025)

CPRet: A Dataset, Benchmark, and Model for Retrieval in Competitive Programming. - Han Deng; Yuan Meng; Shixiang Tang; Wanli Ouyang; Xinzhu Ma (CoRR, 2025)

SP-VLA: A Joint Model Scheduling and Token Pruning Approach for VLA Model Acceleration. - Ye Li 016; Yuan Meng; Zewen Sun; Kangye Ji; Chen Tang; Jiajun Fan; Xinzhu Ma; Shutao Xia; Zhi Wang 001; Wenwu Zhu 001 (CoRR, 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 004; Yuan Meng; Mingyu Ding; Lei Bai 001; et al. (CoRR, 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; et al. (CoRR, 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, 2025)

Intern-S1: A Scientific Multimodal Foundation Model. - Lei Bai 001; Zhongrui Cai; Yuhang Cao; Maosong Cao; Weihan Cao; Chiyu Chen; Haojiong Chen; Kai Chen; Pengcheng Chen; Ying Chen; Yongkang Chen; Yu Cheng; et al. (CoRR, 2025)