HPPNET: A novel network for HPC and its implication for communication software. - Panyong Zhang; Can Ma; Jie Ma; Qiang Li; Dan Meng (IPDPS, 2008)

DCR: A fully transparent checkpoint/restart framework for distributed systems. - Can Ma; Zhigang Huo; Jingnan Cai; Dan Meng (CLUSTER, 2009)

A Geographic Routing Algorithm in Duty-Cycled Sensor Networks with Mobile Sinks. - Can Ma; Lei Wang 005; Jiaqi Xu; Zhenquan Qin; Ming Zhu 001; Lei Shu 001 (MSN, 2011)

HR-NET: A Highly Reliable Message-Passing Mechanism for Cluster File System. - Jiang Zhou; Can Ma; Jin Xiong; Dan Meng (NAS, 2011)

Dawning Nebulae: A PetaFLOPS Supercomputer with a Heterogeneous Structure. - Ninghui Sun; Jing Xing; Zhigang Huo; Guangming Tan; Jin Xiong; Bo Li 009; Can Ma (J. Comput. Sci. Technol., 2011)

Clover: A Distributed File System of Expandable Metadata Service Derived from HDFS. - Youwei Wang; Jiang Zhou; Can Ma; Weiping Wang 005; Dan Meng 002; Jason Kei (CLUSTER, 2012)

Zput: A speedy data uploading approach for the Hadoop Distributed File System. - Youwei Wang; Weiping Wang 005; Can Ma; Dan Meng 002 (CLUSTER, 2013)

Determine the Hardware Choice to Improve HDFS Performance Deployed in a Commodity Cluster. - Youwei Wang; Ge Fu; Weiping Wang 005; Xinran Liu; Can Ma; Dan Meng 002 (CSE, 2013)

An overlapping clustering approach for routing in Wireless Sensor Networks. - Can Ma; Lei Wang 005; Jiaqi Xu; Zhenquan Qin; Lei Shu 001; Di Wu (WCNC, 2013)

An Overlapping Clustering Approach for Routing in Wireless Sensor Networks. - Zhenquan Qin; Can Ma; Lei Wang 005; Jiaqi Xu; Bingxian Lu (Int. J. Distributed Sens. Networks, 2013)

Highly reliable message-passing mechanism for cluster file system. - Jiang Zhou; Can Ma; Jin Xiong; Weiping Wang 005; Dan Meng 002 (Int. J. Parallel Emergent Distributed Syst., 2013)

Lotus: A framework for query optimization based on distributed cache. - Chaoyong Li; Gong Cheng 009; Jinwen Zhong; Can Ma; Weiping Wang 005; Dan Meng 002; Qing Wang; Bo Wang (FSKD, 2015)

An approach of fast data manipulation in HDFS with supplementary mechanisms. - Youwei Wang; Can Ma; Weiping Wang 005; Dan Meng 002 (J. Supercomput., 2015)

Improving Document Clustering for Short Texts by Long Documents via a Dirichlet Multinomial Allocation Model. - Yingying Yan; Ruizhang Huang; Can Ma; Liyang Xu; Zhiyuan Ding; Rui Wang; Ting Huang; Bowei Liu (APWeb/WAIM (1), 2017)

Event-Oriented Caching System for ROOT Data Analysis in HEP. - Baoan Liu; Can Ma; Bing Li; Weiping Wang 005 (BigSDM, 2018)

Effective Self Attention Modeling for Aspect Based Sentiment Analysis. - Ningning Cai; Can Ma; Weiping Wang 005; Dan Meng 002 (ICCS (5), 2019)

MIHBS: A Mobile Interface of High Bandwidth for Wireless Sensor Networks. - Liang Sun 006; Lei Wang 005; Jian Fang 003; Jialin Liu 004; Can Ma (IEEE Access, 2019)

Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning. - Dezhao Luo; Chang Liu 042; Yu Zhou 015; Dongbao Yang; Can Ma; Qixiang Ye; Weiping Wang 005 (AAAI, 2020)

PDPNN: Modeling User Personal Dynamic Preference for Next Point-of-Interest Recommendation. - Jinwen Zhong; Can Ma; Jiang Zhou; Weiping Wang 005 (ICCS (6), 2020)

Detecting Manipulated Facial Videos: A Time Series Solution. - Zhewei Zhang; Can Ma; Bowen Ding; Meilin Gao (ICPR, 2020)

From When to Where: A Multi-task Learning Approach for Next Point-of-Interest Recommendation. - Jinwen Zhong; Can Ma; Jiang Zhou; Weiping Wang 005 (WASA (1), 2020)

Two-Level Residual Distillation based Triple Network for Incremental Object Detection. - Dongbao Yang; Yu Zhou 015; Dayan Wu; Can Ma; Fei Yang; Weiping Wang 005 (CoRR, 2020)

Improving Encoder by Auxiliary Supervision Tasks for Table-to-Text Generation. - Liang Li; Can Ma; Yinliang Yue; Dayong Hu (ACL/IJCNLP (1), 2021)

HSAN: A Hierarchical Self-Attention Network for Multi-Turn Dialogue Generation. - Yawei Kong; Lu Zhang; Can Ma; Cong Cao 001 (ICASSP, 2021)

CSPN: Multi-Scale Cascade Spatial Pyramid Network for Object Detection. - Tianyuan Wang; Can Ma; Haoshan Su; Weiping Wang 005 (ICASSP, 2021)

SSFENet: Spatial and Semantic Feature Enhancement Network for Object Detection. - Tianyuan Wang; Can Ma; Haoshan Su; Weiping Wang 005 (ICASSP, 2021)

A Gist Information Guided Neural Network for Abstractive Summarization. - Yawei Kong; Lu Zhang; Can Ma (ICCS (2), 2021)

Human-Like Storyteller: A Hierarchical Network with Gated Memory for Visual Storytelling. - Lu Zhang; Yawei Kong; Fang Fang 009; Cong Cao 001; Yanan Cao 001; Yanbing Liu; Can Ma (ICCS (2), 2021)

Development of a Complex Network-Based Integrated Multilayer Urban Growth and Optimisation Model for an Efficient Urban Traffic Network. - Rui Ding 005; Yilin Zhang; Ting Zhang; Can Ma (Complex., 2021)

Graph-to-Text Generation with Dynamic Structure Pruning. - Liang Li; Ruiying Geng; Bowen Li; Can Ma; Yinliang Yue; Binhua Li; Yongbin Li (COLING, 2022)

Malignancy Suspicious Region Guided Deep Neural Networks for Gastric Ulcer Classification. - Xiaoyan Zheng; Zeng Zeng; Can Ma; Qing Chang 004; Ziyuan Zhao; Xulei Yang (EMBC, 2022)

Relation-Aware Global-Augmented Transformer for TextCaps. - Qiang Li; Bing Li; Can Ma (ICANN (1), 2022)

Towards Escaping from Language Bias and OCR Error: Semantics-Centered Text Visual Question Answering. - Chengyang Fang; Gangyan Zeng; Yu Zhou 015; Daiqing Wu; Can Ma; Dayong Hu; Weiping Wang 005 (ICME, 2022)

CATS: A Pragmatic Chinese Answer-to-Sequence Dataset with Large Scale and High Quality. - Liang Li 006; Ruiying Geng; Chengyang Fang; Bing Li 001; Can Ma; Rongyu Cao; Binhua Li; Fei Huang 002; Yongbin Li (ACL (1), 2023)

Plan-then-Seam: Towards Efficient Table-to-Text Generation. - Liang Li; Ruiying Geng; Chengyang Fang; Bing Li; Can Ma; Binhua Li; Yongbin Li (EACL (Findings), 2023)

Spatial Attention Enhanced Wafer Defect Classification Algorithm for Tiny Defects. - Can Ma; Luyang Jie; Yiming Yao; Tong Xu; Lilei Hu (ICAIT, 2023)

Online Runtime Environment Prediction for Complex Colocation Interference in Distributed Streaming Processing. - Fan Liu; Weilin Zhu; Weimin Mu; Yun Zhang; Mingyang Li; Can Ma; Weiping Wang 005 (ICCS (2), 2023)

CACluster: A Clustering Approach for IoT Attack Activities Based on Contextual Analysis. - Huiran Yang; Yan Zhang 014; Yueyue Dai; Jiyan Sun; Huajun Cui; Can Ma; Weiping Wang 005 (ICPADS, 2023)

An Unsupervised Vision-related Keywords Retrieval and Fusion Method for Visual Storytelling. - Bing Li; Can Ma; Xiyan Gao; Guangheng Jia (ICTAI, 2023)

Separate and Locate: Rethink the Text in Text-based Visual Question Answering. - Chengyang Fang; Jiangnan Li; Liang Li; Can Ma; Dayong Hu (ACM Multimedia, 2023)

Feature Enhancement with Text-Specific Region Contrast for Scene Text Detection. - Xurui Sun; Jiahao Lyu 002; Yifei Zhang 005; Gangyan Zeng; Bo Fang 003; Yu Zhou 015; Enze Xie; Can Ma (PRCV (7), 2023)

LActDet: An Automatic Network Attack Activity Detection Framework for Multi-step Attacks. - Huiran Yang; Jiaqi Kang; Yueyue Dai; Jiyan Sun; Yan Zhang; Huajun Cui; Can Ma (TrustCom, 2023)

A Survey on Model Compression for Large Language Models. - Xunyu Zhu; Jian Li 040; Yong Liu 018; Can Ma; Weiping Wang 005 (CoRR, 2023)

Free your mouse! Command Large Language Models to Generate Code to Format Word Documents. - Shihao Rao; Liang Li; Jiapeng Liu; Weixin Guan; Xiyan Gao; Bing Lim; Can Ma (EMNLP, 2024)

Segment then Match: Find the Carrier before Reasoning in Scene-Text VQA. - Chengyang Fang; Liang Li; Jiapeng Liu; Bing Li; Dayong Hu; Can Ma (ICASSP, 2024)

Prompting Large Language Models with Fine-Grained Visual Relations from Scene Graph for Visual Question Answering. - Jiapeng Liu; Chengyang Fang; Liang Li; Bing Li; Dayong Hu; Can Ma (ICASSP, 2024)

Exemplar-Free Deep Incremental Hashing for Efficient Image Retrieval. - Siyu Jia; Can Ma; Binbin Li 003; Zisen Qi; Menghan Guo; Yu Ding; Haiping Wang 003 (ICIC (LNAI 5), 2024)

Bridging Visual Affective Gap: Borrowing Textual Knowledge by Learning from Noisy Image-Text Pairs. - Daiqing Wu; Dongbao Yang; Yu Zhou 015; Can Ma (ACM Multimedia, 2024)

Robust Multimodal Sentiment Analysis of Image-Text Pairs by Distribution-Based Feature Recovery and Fusion. - Daiqing Wu; Dongbao Yang; Yu Zhou 015; Can Ma (ACM Multimedia, 2024)

Show Exemplars and Tell Me What You See: In-Context Learning with Frozen Large Language Models for TextVQA. - Yan Zhang; Gangyan Zeng; Huawen Shen; Can Ma; Yu Zhou 015 (PRCV (7), 2024)

Improving Small Language Models' Mathematical Reasoning via Equation-of-Thought Distillation. - Xunyu Zhu; Jian Li 040; Yong Liu 018; Can Ma; Weiping Wang 005 (CoRR, 2024)

Resolving Sentiment Discrepancy for Multimodal Sentiment Detection via Semantics Completion and Decomposition. - Daiqing Wu; Dongbao Yang; Huawen Shen; Can Ma; Yu Zhou 015 (CoRR, 2024)

Key-Point-Driven Mathematical Reasoning Distillation of Large Language Model. - Xunyu Zhu; Jian Li 040; Can Ma; Weiping Wang 005 (CoRR, 2024)

Improving Mathematical Reasoning Capabilities of Small Language Models via Feedback-Driven Distillation. - Xunyu Zhu; Jian Li; Can Ma; Weiping Wang (CoRR, 2024)

Falcon-UI: Understanding GUI Before Following User Instructions. - Huawen Shen; Chang Liu; Gengluo Li; Xinlong Wang; Yu Zhou 015; Can Ma; Xiangyang Ji (CoRR, 2024)

Communication-Efficient Personalized Federal Graph Learning via Low-Rank Decomposition. - Ruyue Liu; Rong Yin 001; Xiangzhen Bo; Xiaoshuai Hao; Xingrui Zhou; Yong Liu 018; Can Ma; Weiping Wang 005 (CoRR, 2024)

Distilling mathematical reasoning capabilities into Small Language Models. - Xunyu Zhu; Jian Li 040; Yong Liu 018; Can Ma; Weiping Wang 005 (Neural Networks, 2024)

Unifying Structured Data as Graph for Data-to-Text Pre-Training. - Shujie Li 001; Liang Li 006; Ruiying Geng; Min Yang 007; Binhua Li; Guanghu Yuan; Wanwei He; Shao Yuan; Can Ma; Fei Huang 002; Yongbin Li (Trans. Assoc. Comput. Linguistics, 2024)

A Survey on Model Compression for Large Language Models. - Xunyu Zhu; Jian Li; Yong Liu; Can Ma; Weiping Wang (Trans. Assoc. Comput. Linguistics, 2024)

Integrating geospatial data and street-view imagery to reconstruct large-scale 3D urban building models. - Changbin Wu; Xinyang Yu; Can Ma; Rongkai Zhong; Xinxin Zhou (Trans. GIS, 2024)

Union Is Strength! Unite the Power of LLMs and MLLMs for Chart Question Answering. - Jiapeng Liu; Liang Li; Shihao Rao; Xiyan Gao; Weixin Guan; Bing Li; Can Ma (AAAI, 2025)

Track the Answer: Extending TextVQA from Image to Video with Spatio-Temporal Clues. - Yan Zhang; Gangyan Zeng; Huawen Shen; Daiqing Wu; Yu Zhou 015; Can Ma (AAAI, 2025)

Linguistics-aware Masked Image Modeling for Self-supervised Scene Text Recognition. - Yifei Zhang 005; Chang Liu; Jin Wei; Xiaomeng Yang; Yu Zhou 015; Can Ma; Xiangyang Ji (CVPR, 2025)

Enhancing Cybersecurity in the Big Data Era: A GA-Optimized Fuzzy Clustering Approach. - Tieguang Xu; Can Ma; Zhaozhao Su; Jingqiong Su; Zhiming Ma; Jianzhen Wang; Zhaolong Yang (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2025)

Multi-Modal Molecular Representation Learning via Structure Awareness. - Rong Yin 001; Ruyue Liu; Xiaoshuai Hao; Xingrui Zhou; Yong Liu 018; Can Ma; Weiping Wang 005 (IEEE Trans. Image Process., 2025)

AS-GCL: Asymmetric Spectral Augmentation on Graph Contrastive Learning. - Ruyue Liu; Rong Yin 001; Yong Liu 018; Xiaoshuai Hao; Haichao Shi; Can Ma; Weiping Wang 005 (CoRR, 2025)

An Empirical Study on Configuring In-Context Learning Demonstrations for Unleashing MLLMs' Sentimental Perception Capability. - Daiqing Wu; Dongbao Yang; Sicheng Zhao; Can Ma; Yu Zhou 015 (CoRR, 2025)

TextBlockV2: Towards Precise-Detection-Free Scene Text Spotting with Pre-trained Language Model. - Jiahao Lyu 002; Jin Wei; Gangyan Zeng; Zeng Li; Enze Xie; Wei Wang 315; Can Ma; Yu Zhou 015 (ACM Trans. Multim. Comput. Commun. Appl., 2025)

Gather and Trace: Rethinking Video TextVQA from an Instance-oriented Perspective. - Yan Zhang; Gangyan Zeng; Daiqing Wu; Huawen Shen; Binbin Li; Yu Zhou 015; Can Ma; Xiaojun Bi 002 (CoRR, 2025)