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2020 – today
- 2024
[j2]Changsheng Ma, Achyut Shankar, Saru Kumari, Chien-Ming Chen:
A lightweight BRLWE-based post-quantum cryptosystem with side-channel resilience for IoT security. Internet Things 28: 101391 (2024)- [c15]Changsheng Ma
, Taicheng Guo, Qiang Yang, Xiuying Chen, Xin Gao, Shangsong Liang, Nitesh V. Chawla, Xiangliang Zhang:
A Property-Guided Diffusion Model For Generating Molecular Graphs. ICASSP 2024: 2365-2369 - [c14]Wenxuan Huang, Changsheng Ma, Ziyuan Wang:
The Effect of Variable Strength Combinatorial Coverage for Neurons on Fault Detection in Deep Neural Networks. QRS Companion 2024: 849-855 - [c13]Mingzhe Li, Xiuying Chen, Jing Xiang, Qishen Zhang, Changsheng Ma, Chenchen Dai, Jinxiong Chang, Zhongyi Liu, Guannan Zhang:
Multi-Intent Attribute-Aware Text Matching in Searching. WSDM 2024: 360-368 - [i5]Mingzhe Li, Xiuying Chen, Jing Xiang, Qishen Zhang, Changsheng Ma, Chenchen Dai, Jinxiong Chang, Zhongyi Liu, Guannan Zhang:
Multi-Intent Attribute-Aware Text Matching in Searching. CoRR abs/2402.07788 (2024) - [i4]Qiang Yang, Xiuying Chen, Changsheng Ma, Carlos M. Duarte, Xiangliang Zhang:
Advanced Framework for Animal Sound Classification With Features Optimization. CoRR abs/2407.03440 (2024) - 2023
- [c12]Changsheng Ma, Qiang Yang, Shangsong Liang, Xin Gao:
A Distribution Preserving Model for Molecular Graph Generation. BIBM 2023: 379-386 - [c11]Qiang Yang, Changsheng Ma, Qiannan Zhang, Xin Gao, Chuxu Zhang, Xiangliang Zhang:
Counterfactual Learning on Heterogeneous Graphs with Greedy Perturbation. KDD 2023: 2988-2998 - [c10]Qiang Yang, Changsheng Ma, Qiannan Zhang, Xin Gao, Chuxu Zhang, Xiangliang Zhang:
Interpretable Research Interest Shift Detection with Temporal Heterogeneous Graphs. WSDM 2023: 321-329 - [i3]Taicheng Guo, Changsheng Ma, Xiuying Chen, Bozhao Nan, Kehan Guo, Shichao Pei, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang:
Modeling non-uniform uncertainty in Reaction Prediction via Boosting and Dropout. CoRR abs/2310.04674 (2023) - 2022
- [c9]Changsheng Ma, Qiang Yang, Xin Gao, Xiangliang Zhang:
DEMO: Disentangled Molecular Graph Generation via an Invertible Flow Model. CIKM 2022: 1420-1429 - 2021
- [c8]Changsheng Ma, Xiangliang Zhang:
GF-VAE: A Flow-based Variational Autoencoder for Molecule Generation. CIKM 2021: 1181-1190 - 2020
- [j1]Chenlu Liu, Changsheng Ma, Jinghao Duan, Qingtao Qiu, Yanluan Guo, Zhenhua Zhang, Yong Yin:
Using CT texture analysis to differentiate between peripheral lung cancer and pulmonary inflammatory pseudotumor. BMC Medical Imaging 20(1): 75 (2020) - [c7]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:
Improving Anticoagulant Treatment Strategies of Atrial Fibrillation Using Reinforcement Learning. AMIA 2020 - [c6]Yingxue Li, Wenxiao Jia, Yashu Kang, Tiange Chen, Xiang Li, Xin Du, Jianzeng Dong, Changsheng Ma, Fei Wang, Guotong Xie:
DeepComp: Which Competing Event Will Hit the Patient First? BIBM 2020: 629-636 - [i2]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:
SenWave: Monitoring the Global Sentiments under the COVID-19 Pandemic. CoRR abs/2006.10842 (2020)
2010 – 2019
- 2019
- [c5]Yuan Zhang, Changsheng Ma, Jianzeng Dong, Eryu Xia, Bibo Hao, Jing Mei, Yong Qin, Shaochun Li, Wen Sun, Zhengbo Zhang, Xin Du:
Insight Ease: A System for Automated Data-driven Healthcare Insight Generation. ICHI 2019: 1-7 - [c4]Eryu Xia, Xin Du, Jing Mei, Wen Sun, Suijun Tong, Zhiqing Kang, Jian Sheng, Jian Li, Changsheng Ma, Jianzeng Dong, Shaochun Li:
Outcome-Driven Clustering of Acute Coronary Syndrome Patients Using Multi-Task Neural Network with Attention. MedInfo 2019: 457-461 - [c3]Pengwei Hu, Eryu Xia, Shochun Li, Xin Du, Changsheng Ma, Jianzeng Dong, Keith C. C. Chan:
Network-Based Prediction of Major Adverse Cardiac Events in Acute Coronary Syndromes from Imbalanced EMR Data. MedInfo 2019: 1480-1481 - [c2]Changsheng Ma, Jianjun Li, Peng Pan, Guohui Li, Junbo Du:
BDMF: A Biased Deep Matrix Factorization Model for Recommendation. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 1039-1045 - [i1]Eryu Xia, Xin Du, Jing Mei, Wen Sun, Suijun Tong, Zhiqing Kang, Jian Sheng, Jian Li, Changsheng Ma, Jianzeng Dong, Shaochun Li:
Outcome-Driven Clustering of Acute Coronary Syndrome Patients using Multi-Task Neural Network with Attention. CoRR abs/1903.00197 (2019) - 2014
- [c1]Guang Zheng, Tong Wei, Changsheng Ma, Jianjun Liu, Jinyu Liu, Cheng Lu, Aiping Lu:
Exploring potential therapeutic agents of Duhuo-Jisheng-Tang for rheumatoid arthritis. BIBM 2014: 476-479
Coauthor Index
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