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Siyuan Lu
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Books and Theses
- 2018
- [b1]Siyuan Lu:
Exploring possible coupling between phonons and internal nuclear states. Massachusetts Institute of Technology, Cambridge, USA, 2018
Journal Articles
- 2024
- [j40]Jian Wang, Si-Yuan Lu, Shui-Hua Wang, Yu-Dong Zhang:
RanMerFormer: Randomized vision transformer with token merging for brain tumor classification. Neurocomputing 573: 127216 (2024) - [j39]Ping Xuan, Siyuan Lu, Hui Cui, Shuai Wang, Toshiya Nakaguchi, Tiangang Zhang:
Learning Association Characteristics by Dynamic Hypergraph and Gated Convolution Enhanced Pairwise Attributes for Prediction of Disease-Related lncRNAs. J. Chem. Inf. Model. 64(8): 3569-3578 (2024) - [j38]Xing Guo, Yudong Zhang, Siyuan Lu, Zhihai Lu:
Facial expression recognition: a review. Multim. Tools Appl. 83(8): 23689-23735 (2024) - 2023
- [j37]Ziquan Zhu, Zeyu Ren, Siyuan Lu, Shuihua Wang, Yudong Zhang:
DLBCNet: A Deep Learning Network for Classifying Blood Cells. Big Data Cogn. Comput. 7(2): 75 (2023) - [j36]Xing Guo, Siyuan Lu, Shuihua Wang, Zhihai Lu, Yu-Dong Zhang:
DLSANet: Facial expression recognition with double-code LBP-layer spatial-attention network. IET Image Process. 17(9): 2659-2672 (2023) - [j35]Yudong Zhang, Lijia Deng, Hengde Zhu, Wei Wang, Zeyu Ren, Qinghua Zhou, Siyuan Lu, Shiting Sun, Ziquan Zhu, Juan Manuel Górriz, Shuihua Wang:
Deep learning in food category recognition. Inf. Fusion 98: 101859 (2023) - [j34]Siyuan Lu, Kaijian Xia, Shui-Hua Wang:
Diagnosis of cerebral microbleed via VGG and extreme learning machine trained by Gaussian map bat algorithm. J. Ambient Intell. Humaniz. Comput. 14(5): 5395-5406 (2023) - [j33]Xiaotong Zhao, Siyuan Lu, Qingjiang Shi, Zhi-Quan Luo:
Rethinking WMMSE: Can Its Complexity Scale Linearly With the Number of BS Antennas? IEEE Trans. Signal Process. 71: 433-446 (2023) - [j32]Siyuan Lu, Chenchen Zhou, Keli Xie, Jun Lin, Zhongfeng Wang:
Fast and Accurate FSA System Using ELBERT: An Efficient and Lightweight BERT. IEEE Trans. Signal Process. 71: 3821-3834 (2023) - 2022
- [j31]Si-Yuan Lu, Shui-Hua Wang, Yu-Dong Zhang:
SAFNet: A deep spatial attention network with classifier fusion for breast cancer detection. Comput. Biol. Medicine 148: 105812 (2022) - [j30]Si-Yuan Lu, Shui-Hua Wang, Xin Zhang, Yu-Dong Zhang:
TBNet: a context-aware graph network for tuberculosis diagnosis. Comput. Methods Programs Biomed. 214: 106587 (2022) - [j29]Siyuan Lu, Ziquan Zhu, Juan Manuel Górriz, Shui-Hua Wang, Yu-Dong Zhang:
NAGNN: Classification of COVID-19 based on neighboring aware representation from deep graph neural network. Int. J. Intell. Syst. 37(2): 1572-1598 (2022) - [j28]Xin Zhang, Siyuan Lu, Shui-Hua Wang, Xiang Yu, Su-Jing Wang, Lun Yao, Yi Pan, Yu-Dong Zhang:
Diagnosis of COVID-19 Pneumonia via a Novel Deep Learning Architecture. J. Comput. Sci. Technol. 37(2): 330-343 (2022) - [j27]Jian Wang, Siyuan Lu, Shui-Hua Wang, Yu-Dong Zhang:
A review on extreme learning machine. Multim. Tools Appl. 81(29): 41611-41660 (2022) - 2021
- [j26]Si-Yuan Lu, Deepak Ranjan Nayak, Shui-Hua Wang, Yu-Dong Zhang:
A cerebral microbleed diagnosis method via FeatureNet and ensembled randomized neural networks. Appl. Soft Comput. 109: 107567 (2021) - [j25]Lin Zhou, Qiuyue Zhong, Tianyi Wang, Siyuan Lu, Hongmei Hu:
Speech Enhancement via Residual Dense Generative Adversarial Network. Comput. Syst. Sci. Eng. 38(3): 279-289 (2021) - [j24]Xiang Yu, Siyuan Lu, Lili Guo, Shui-Hua Wang, Yu-Dong Zhang:
ResGNet-C: A graph convolutional neural network for detection of COVID-19. Neurocomputing 452: 592-605 (2021) - [j23]Shuihua Wang, M. Emre Celebi, Yu-Dong Zhang, Xiang Yu, Siyuan Lu, Xujing Yao, Qinghua Zhou, Miguel Martinez-Garcia, Yingli Tian, Juan Manuel Górriz, Ivan Tyukin:
Advances in Data Preprocessing for Biomedical Data Fusion: An Overview of the Methods, Challenges, and Prospects. Inf. Fusion 76: 376-421 (2021) - [j22]Siyuan Lu, Shui-Hua Wang, Yu-Dong Zhang:
Detection of abnormal brain in MRI via improved AlexNet and ELM optimized by chaotic bat algorithm. Neural Comput. Appl. 33(17): 10799-10811 (2021) - [j21]Shuang Liang, Siyuan Lu, Jun Lin, Zhongfeng Wang:
Low-Latency Hardware Accelerator for Improved Engle-Granger Cointegration in Pairs Trading. IEEE Trans. Circuits Syst. I Regul. Pap. 68(7): 2911-2924 (2021) - [j20]Siyuan Lu, Di Wu, Zheng Zhang, Shui-Hua Wang:
An Explainable Framework for Diagnosis of COVID-19 Pneumonia via Transfer Learning and Discriminant Correlation Analysis. ACM Trans. Multim. Comput. Commun. Appl. 17(3s): 103:1-103:16 (2021) - 2020
- [j19]Conrad M. Albrecht, Bruce Elmegreen, Oki Gunawan, Hendrik F. Hamann, Levente J. Klein, Siyuan Lu, F. Mariano, Carlo Siebenschuh, Johannes Schmude:
Next-generation geospatial-temporal information technologies for disaster management. IBM J. Res. Dev. 64(1/2): 5:1-5:12 (2020) - [j18]Conrad M. Albrecht, Rui Zhang, Xiaodong Cui, Marcus Freitag, Hendrik F. Hamann, Levente J. Klein, Ulrich Finkler, Fernando J. Marianno, Johannes Schmude, Norman Bobroff, Wei Zhang, Carlo Siebenschuh, Siyuan Lu:
Change Detection from Remote Sensing to Guide OpenStreetMap Labeling. ISPRS Int. J. Geo Inf. 9(7): 427 (2020) - [j17]Zhidong Shen, Siyuan Lu, Huijuan Huang, Meng Yuan, Guoming Tang, Weiying Chen, Taige Zhang, Ting Zhong:
An Approach Based on Customized Robust Cloaked Region for Geographic Location Information Privacy Protection. Mob. Inf. Syst. 2020: 3903681:1-3903681:12 (2020) - [j16]Si-Yuan Lu, Shui-Hua Wang, Yudong Zhang:
A classification method for brain MRI via MobileNet and feedforward network with random weights. Pattern Recognit. Lett. 140: 252-260 (2020) - [j15]Danyang Zhu, Siyuan Lu, Meiqi Wang, Jun Lin, Zhongfeng Wang:
Efficient Precision-Adjustable Architecture for Softmax Function in Deep Learning. IEEE Trans. Circuits Syst. 67-II(12): 3382-3386 (2020) - 2019
- [j14]Siyuan Lu, Jinming Lu, Jun Lin, Zhongfeng Wang:
A Hardware-Oriented and Memory-Efficient Method for CTC Decoding. IEEE Access 7: 120681-120694 (2019) - [j13]Siyuan Lu, Zhihai Lu, Yu-Dong Zhang:
Pathological brain detection based on AlexNet and transfer learning. J. Comput. Sci. 30: 41-47 (2019) - [j12]Furong Sun, Robert B. Gramacy, Benjamin Haaland, Siyuan Lu, Youngdeok Hwang:
Synthesizing simulation and field data of solar irradiance. Stat. Anal. Data Min. 12(4): 311-324 (2019) - 2018
- [j11]Zhiyuan Zhao, Xiangru Meng, Siyuan Lu, Yuze Su:
Different QoS Constraint Virtual SDN Embedding under Multiple Controllers. KSII Trans. Internet Inf. Syst. 12(9): 4144-4165 (2018) - [j10]Siyuan Lu, Zhihai Lu, Jianfei Yang, Ming Yang, Shuihua Wang:
A pathological brain detection system based on kernel based ELM. Multim. Tools Appl. 77(3): 3715-3728 (2018) - [j9]Yudong Zhang, Yongyan Jiang, Weiguo Zhu, Siyuan Lu, Guihu Zhao:
Exploring a smart pathological brain detection method on pseudo Zernike moment. Multim. Tools Appl. 77(17): 22589-22604 (2018) - [j8]Mingjian Cui, Jie Zhang, Bri-Mathias S. Hodge, Siyuan Lu, Hendrik F. Hamann:
A Methodology for Quantifying Reliability Benefits From Improved Solar Power Forecasting in Multi-Timescale Power System Operations. IEEE Trans. Smart Grid 9(6): 6897-6908 (2018) - 2017
- [j7]Siyuan Lu, Shuihua Wang, Yudong Zhang:
A note on the marker-based watershed method for X-ray image segmentation. Comput. Methods Programs Biomed. 141: 1-2 (2017) - 2016
- [j6]Shuihua Wang, Ming Yang, Yin Zhang, Jianwu Li, Ling Zou, Siyuan Lu, Bin Liu, Jiquan Yang, Yudong Zhang:
Detection of Left-Sided and Right-Sided Hearing Loss via Fractional Fourier Transform. Entropy 18(5): 194 (2016) - [j5]Ildar Khabibrakhmanov, Siyuan Lu, Hendrik F. Hamann, Kevin Warren:
On the usefulness of solar energy forecasting in the presence of asymmetric costs of errors. IBM J. Res. Dev. 60(1) (2016) - [j4]G. Badr, Levente J. Klein, Marcus Freitag, Conrad M. Albrecht, Fernando J. Marianno, Siyuan Lu, Xiaoyan Shao, Nigel Hinds, Gerrit Hoogenboom, Hendrik F. Hamann:
Toward large-scale crop production forecasts for global food security. IBM J. Res. Dev. 60(5/6): 5:1-5:11 (2016) - [j3]Siyuan Lu, Shuihua Wang, Yudong Zhang:
A note on the weight of inverse complexity in improved hybrid genetic algorithm. J. Medical Syst. 40(6): 150:1-150:2 (2016) - [j2]Yudong Zhang, Siyuan Lu, Xingxing Zhou, Ming Yang, Lenan Wu, Bin Liu, Preetha Phillips, Shuihua Wang:
Comparison of machine learning methods for stationary wavelet entropy-based multiple sclerosis detection: decision tree, k-nearest neighbors, and support vector machine. Simul. 92(9): 861-871 (2016) - [j1]Yudong Zhang, Xueyan Wu, Siyuan Lu, Hainan Wang, Preetha Phillips, Shuihua Wang:
Smart detection on abnormal breasts in digital mammography based on contrast-limited adaptive histogram equalization and chaotic adaptive real-coded biogeography-based optimization. Simul. 92(9): 873-885 (2016)
Conference and Workshop Papers
- 2022
- [c33]Keli Xie, Dongchen He, Jiaxin Zhuang, Siyuan Lu, Zhongfeng Wang:
View Dialogue in 2D: A Two-stream Model in Time-speaker Perspective for Dialogue Summarization and beyond. COLING 2022: 6075-6088 - [c32]Binjing Li, Siyuan Lu, Keli Xie, Zhongfeng Wang:
Accelerating NLP Tasks on FPGA with Compressed BERT and a Hardware-Oriented Early Exit Method. ISVLSI 2022: 410-413 - [c31]Pengcheng He, Siyuan Lu, Xin Guan, Yibin Kang, Qingjiang Shi:
A Zeroth-Order Block Coordinate Gradient Descent Method For Cellular Network Optimization. ISWCS 2022: 1-6 - [c30]Ziyang Jiang, Siyuan Lu, Jun Lin, Zhongfeng Wang:
Forecasting Stock Indexes with Metabolic DWT and MWA-GM(1,1). WCSP 2022: 516-521 - 2021
- [c29]Siyuan Lu, Xiaolan Tang, Yu Liu, Wenlong Chen:
Data Matrix Completion Based on Pattern Classification. CSAE 2021: 16:1-16:5 - [c28]Keli Xie, Siyuan Lu, Meiqi Wang, Zhongfeng Wang:
Elbert: Fast Albert with Confidence-Window Based Early Exit. ICASSP 2021: 7713-7717 - [c27]Siyuan Lu, Xin Zhang, Yu-Dong Zhang:
A new pulmonary disease diagnosis system based on EfficientNet and transfer learning: pulmonary disease diagnosis based on EfficientNet and TL. UCC Companion 2021: 2:1-2:4 - 2020
- [c26]Wang Zhou, Levente J. Klein, Siyuan Lu:
PAIRS AutoGeo: an Automated Machine Learning Framework for Massive Geospatial Data. IEEE BigData 2020: 1755-1763 - [c25]Siyuan Lu, Shengjie Zhao, Qingjiang Shi:
Learning-Based Massive Beamforming. GLOBECOM 2020: 1-6 - [c24]Siyuan Lu, Liam O'Donnell:
Teeth Category Classification by Fractional Fourier Entropy and Improved Hybrid Genetic Algorithm. ICMTEL (2) 2020: 267-276 - [c23]Binjing Li, Keli Xie, Siyuan Lu, Jun Lin, Zhongfeng Wang:
LSTM-Based Quantitative Trading Using Dynamic K-Top and Kelly Criterion. IJCNN 2020: 1-8 - [c22]Shuang Liang, Siyuan Lu, Jun Lin, Zhongfeng Wang:
Hardware Accelerator for Engle-Granger Cointegration in Pairs Trading. ISCAS 2020: 1-5 - [c21]Siyuan Lu, Shengjie Zhao, Qingjiang Shi:
Block-Diagonal Zero-Forcing Beamforming for Weighted Sum-Rate Maximization in Multi-User Massive MIMO Systems. ISCC 2020: 1-6 - [c20]Rui Zhang, Conrad M. Albrecht, Wei Zhang, Xiaodong Cui, Ulrich Finkler, David S. Kung, Siyuan Lu:
Map Generation from Large Scale Incomplete and Inaccurate Data Labels. KDD 2020: 2514-2522 - [c19]Siyuan Lu, Meiqi Wang, Shuang Liang, Jun Lin, Zhongfeng Wang:
Hardware Accelerator for Multi-Head Attention and Position-Wise Feed-Forward in the Transformer. SoCC 2020: 84-89 - 2019
- [c18]Levente J. Klein, Conrad M. Albrecht, Wang Zhou, Carlo Siebenschuh, Sharathchandra Pankanti, Hendrik F. Hamann, Siyuan Lu:
N-dimensional geospatial data and analytics for critical infrastructure risk assessment. IEEE BigData 2019: 5637-5643 - [c17]Siyuan Lu, Jinming Lu, Jun Lin, Zhongfeng Wang, Li Du:
A Low-Latency and Low-Complexity Hardware Architecture for CTC Beam Search Decoding. SiPS 2019: 352-357 - [c16]Jinming Lu, Siyuan Lu, Zhisheng Wang, Chao Fang, Jun Lin, Zhongfeng Wang, Li Du:
Training Deep Neural Networks Using Posit Number System. SoCC 2019: 62-67 - 2018
- [c15]Meiqi Wang, Siyuan Lu, Danyang Zhu, Jun Lin, Zhongfeng Wang:
A High-Speed and Low-Complexity Architecture for Softmax Function in Deep Learning. APCCAS 2018: 223-226 - [c14]Rui Zhang, Minwei Feng, Wei Zhang, Siyuan Lu, Fei Wang:
Forecast of Solar Energy Production - A Deep Learning Approach. ICBK 2018: 73-82 - [c13]Siyuan Lu, Zhihai Lu, Soriya Aok, Logan Graham:
Fruit Classification Based on Six Layer Convolutional Neural Network. DSP 2018: 1-5 - [c12]Siyuan Lu:
A Goal-Driven Context-Aware Architecture for Distributing Cognitive Service Group. ICSOC Workshops 2018: 400-406 - [c11]Deepak Ranjan Nayak, Ratnakar Dash, Zhihai Lu, Siyuan Lu, Banshidhar Majhi:
SCA-RELM: A New Regularized Extreme Learning Machine Based on Sine Cosine Algorithm for Automated Detection of Pathological Brain. RO-MAN 2018: 764-769 - 2017
- [c10]Conrad M. Albrecht, Marcus Freitag, Theodore G. van Kessel, Siyuan Lu, Hendrik F. Hamann:
Event clustering & event series characterization on expected frequency. IEEE BigData 2017: 4536-4541 - [c9]Sergiy Zhuk, Tigran T. Tchrakian, Albert Akhriev, Siyuan Lu, Hendrik F. Hamann:
Dynamic cloud motion forecasting from satellite images. CDC 2017: 3107-3112 - [c8]Siyuan Lu, Zhihai Lu, Xianqing Chen, Shuihua Wang, Yudong Zhang:
Flower classification based on single petal image and machine learning methods. ICNC-FSKD 2017: 826-831 - 2016
- [c7]Xiaoyan Shao, Siyuan Lu, Theodore G. van Kessel, Hendrik F. Hamann, Leda Daehler, Jeffrey Cwagenberg, Alan Li:
Solar irradiance forecasting by machine learning for solar car races. IEEE BigData 2016: 2209-2216 - [c6]Siyuan Lu, Xiaoyan Shao, Marcus Freitag, Levente J. Klein, Jason D. Renwick, Fernando J. Marianno, Conrad M. Albrecht, Hendrik F. Hamann:
IBM PAIRS curated big data service for accelerated geospatial data analytics and discovery. IEEE BigData 2016: 2672-2675 - [c5]Siyuan Lu, Zhihai Lu, Preetha Phillips, Shuihua Wang, Jianguo Wu, Yudong Zhang:
Fruit classification by HPA-SLFN. WCSP 2016: 1-5 - 2015
- [c4]Levente J. Klein, Fernando J. Marianno, Conrad M. Albrecht, Marcus Freitag, Siyuan Lu, Nigel Hinds, Xiaoyan Shao, Sergio Bermudez Rodriguez, Hendrik F. Hamann:
PAIRS: A scalable geo-spatial data analytics platform. IEEE BigData 2015: 1290-1298 - [c3]Siyuan Lu, Youngdeok Hwang, Ildar Khabibrakhmanov, Fernando J. Marianno, Xiaoyan Shao, Jie Zhang, Bri-Mathias S. Hodge, Hendrik F. Hamann:
Machine learning based multi-physical-model blending for enhancing renewable energy forecast - improvement via situation dependent error correction. ECC 2015: 283-290 - [c2]Sue Ann Chen, Arun Vishwanath, Saket Sathe, Shivkumar Kalyanaraman, Siyuan Lu:
Understanding the performance of solar PV systems using data-driven analytics. ISGT Asia 2015: 1-6 - 2013
- [c1]Yaoliang Chen, Xiaomin Xu, Pohan Li, Siyuan Lu, Sheng Huang, Wei Lu, Kevin Brown:
GeoMix: scalable geoscientific array data management. Middleware (Industry Track) 2013: 1:1-1:6
Editorship
- 2020
- [e1]Xintao Wu, Chris Jermaine, Li Xiong, Xiaohua Hu, Olivera Kotevska, Siyuan Lu, Weija Xu, Srinivas Aluru, Chengxiang Zhai, Eyhab Al-Masri, Zhiyuan Chen, Jeff Saltz:
2020 IEEE International Conference on Big Data (IEEE BigData 2020), Atlanta, GA, USA, December 10-13, 2020. IEEE 2020, ISBN 978-1-7281-6251-5 [contents]
Informal and Other Publications
- 2024
- [i12]Dayuan Fu, Jianzhao Huang, Siyuan Lu, Guanting Dong, Yejie Wang, Keqing He, Weiran Xu:
PreAct: Predicting Future in ReAct Enhances Agent's Planning Ability. CoRR abs/2402.11534 (2024) - [i11]Xinyu Tang, Xiaolei Wang, Wayne Xin Zhao, Siyuan Lu, Yaliang Li, Ji-Rong Wen:
Unleashing the Potential of Large Language Models as Prompt Optimizers: An Analogical Analysis with Gradient-based Model Optimizers. CoRR abs/2402.17564 (2024) - 2022
- [i10]Siyuan Lu, Chenchen Zhou, Keli Xie, Shiyi Liu, Jun Lin, Zhongfeng Wang:
Fast and Accurate FSA System Using ELBERT: An Efficient and Lightweight BERT. CoRR abs/2211.08842 (2022) - 2021
- [i9]Keli Xie, Siyuan Lu, Meiqi Wang, Zhongfeng Wang:
Elbert: Fast Albert with Confidence-Window Based Early Exit. CoRR abs/2107.00175 (2021) - 2020
- [i8]Conrad M. Albrecht, Marcus Freitag, Theodore G. van Kessel, Siyuan Lu, Hendrik F. Hamann:
Event Clustering & Event Series Characterization on Expected Frequency. CoRR abs/2004.02089 (2020) - [i7]Rui Zhang, Conrad M. Albrecht, Wei Zhang, Xiaodong Cui, Ulrich Finkler, David S. Kung, Siyuan Lu:
Map Generation from Large Scale Incomplete and Inaccurate Data Labels. CoRR abs/2005.10053 (2020) - [i6]Siyuan Lu, Meiqi Wang, Shuang Liang, Jun Lin, Zhongfeng Wang:
Hardware Accelerator for Multi-Head Attention and Position-Wise Feed-Forward in the Transformer. CoRR abs/2009.08605 (2020) - [i5]Wang Zhou, Levente J. Klein, Siyuan Lu:
PAIRS AutoGeo: an Automated Machine Learning Framework for Massive Geospatial Data. CoRR abs/2012.06907 (2020) - 2019
- [i4]Siyuan Lu, Jinming Lu, Jun Lin, Zhongfeng Wang:
A Hardware-Oriented and Memory-Efficient Method for CTC Decoding. CoRR abs/1905.03175 (2019) - [i3]Jinming Lu, Siyuan Lu, Zhisheng Wang, Chao Fang, Jun Lin, Zhongfeng Wang, Li Du:
Training Deep Neural Networks Using Posit Number System. CoRR abs/1909.03831 (2019) - 2018
- [i2]Cong Feng, Mingjian Cui, Bri-Mathias S. Hodge, Siyuan Lu, Hendrik F. Hamann, Jie Zhang:
An Unsupervised Clustering-Based Short-Term Solar Forecasting Methodology Using Multi-Model Machine Learning Blending. CoRR abs/1805.04193 (2018) - 2017
- [i1]Sergiy Zhuk, Tigran T. Tchrakian, Albert Akhriev, Siyuan Lu, Hendrik F. Hamann:
Where computer vision can aid physics: dynamic cloud motion forecasting from satellite images. CoRR abs/1710.00194 (2017)
Coauthor Index
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