Changsheng Ma

According to our database, Changsheng Ma authored at least 20 papers between 2014 and 2024.

Collaborative distances:

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

2024

A lightweight BRLWE-based post-quantum cryptosystem with side-channel resilience for IoT security.

Changsheng Ma, Achyut Shankar, Saru Kumari, Chien-Ming Chen

Internet Things, 2024

Advanced Framework for Animal Sound Classification With Features Optimization.

Qiang Yang, Xiuying Chen, Changsheng Ma, Carlos M. Duarte, Xiangliang Zhang

CoRR, 2024

Multi-Intent Attribute-Aware Text Matching in Searching.

Mingzhe Li, Xiuying Chen, Jing Xiang, Qishen Zhang, Changsheng Ma, Chenchen Dai, Jinxiong Chang, Zhongyi Liu, Guannan Zhang

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

The Effect of Variable Strength Combinatorial Coverage for Neurons on Fault Detection in Deep Neural Networks.

Wenxuan Huang, Changsheng Ma, Ziyuan Wang

Proceedings of the 24th IEEE International Conference on Software Quality, 2024

A Property-Guided Diffusion Model For Generating Molecular Graphs.

Changsheng Ma, Taicheng Guo, Qiang Yang, Xiuying Chen, Xin Gao, Shangsong Liang, Nitesh V. Chawla, Xiangliang Zhang

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Modeling non-uniform uncertainty in Reaction Prediction via Boosting and Dropout.

Taicheng Guo, Changsheng Ma, Xiuying Chen, Bozhao Nan, Kehan Guo, Shichao Pei, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang

CoRR, 2023

Interpretable Research Interest Shift Detection with Temporal Heterogeneous Graphs.

Qiang Yang, Changsheng Ma, Qiannan Zhang, Xin Gao, Chuxu Zhang, Xiangliang Zhang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Counterfactual Learning on Heterogeneous Graphs with Greedy Perturbation.

Qiang Yang, Changsheng Ma, Qiannan Zhang, Xin Gao, Chuxu Zhang, Xiangliang Zhang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

A Distribution Preserving Model for Molecular Graph Generation.

Changsheng Ma, Qiang Yang, Shangsong Liang, Xin Gao

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

DEMO: Disentangled Molecular Graph Generation via an Invertible Flow Model.

Changsheng Ma, Qiang Yang, Xin Gao, Xiangliang Zhang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

GF-VAE: A Flow-based Variational Autoencoder for Molecule Generation.

Changsheng Ma, Xiangliang Zhang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

SenWave: Monitoring the Global Sentiments under the COVID-19 Pandemic.

Qiang Yang, Hind Alamro, Somayah Albaradei, Adil Salhi, Xiaoting Lv, Changsheng Ma, Manal Alshehri, Inji Jaber, Faroug Tifratene, Wei Wang, Takashi Gojobori, Carlos M. Duarte, Xin Gao, Xiangliang Zhang

CoRR, 2020

Using CT texture analysis to differentiate between peripheral lung cancer and pulmonary inflammatory pseudotumor.

Chenlu Liu, Changsheng Ma, Jinghao Duan, Qingtao Qiu, Yanluan Guo, Zhenhua Zhang, Yong Yin

BMC Medical Imaging, 2020

DeepComp: Which Competing Event Will Hit the Patient First?

Yingxue Li, Wenxiao Jia, Yashu Kang, Tiange Chen, Xiang Li, Xin Du, Jianzeng Dong, Changsheng Ma, Fei Wang, Guotong Xie

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Improving Anticoagulant Treatment Strategies of Atrial Fibrillation Using Reinforcement Learning.

Lei Zuo, Xin Du, Wei Zhao, Chao Jiang, Shijun Xia, Liu He, Rong Liu, Ribo Tang, Rong Bai, Jianzeng Dong, Xingzhi Sun, Gang Hu, Guotong Xie, Changsheng Ma

Proceedings of the AMIA 2020, 2020

2019

BDMF: A Biased Deep Matrix Factorization Model for Recommendation.

Changsheng Ma, Jianjun Li, Peng Pan, Guohui Li, Junbo Du

Proceedings of the 2019 IEEE SmartWorld, 2019

Outcome-Driven Clustering of Acute Coronary Syndrome Patients Using Multi-Task Neural Network with Attention.

Eryu Xia, Xin Du, Jing Mei, Wen Sun, Suijun Tong, Zhiqing Kang, Jian Sheng, Jian Li, Changsheng Ma, Jianzeng Dong, Shaochun Li

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Network-Based Prediction of Major Adverse Cardiac Events in Acute Coronary Syndromes from Imbalanced EMR Data.

Pengwei Hu, Eryu Xia, Shochun Li, Xin Du, Changsheng Ma, Jianzeng Dong, Keith C. C. Chan

Proceedings of the MEDINFO 2019: Health and Wellbeing e-Networks for All, 2019

Insight Ease: A System for Automated Data-driven Healthcare Insight Generation.

Yuan Zhang, Changsheng Ma, Jianzeng Dong, Eryu Xia, Bibo Hao, Jing Mei, Yong Qin, Shaochun Li, Wen Sun, Zhengbo Zhang, Xin Du

Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

2014

Exploring potential therapeutic agents of Duhuo-Jisheng-Tang for rheumatoid arthritis.

Guang Zheng, Tong Wei, Changsheng Ma, Jianjun Liu, Jinyu Liu, Cheng Lu, Aiping Lu

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014