Siyuan Lu

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 77

Top Venues

Massachusetts Institute of Technology, Cambridge, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, USA

PHD

Publications

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 (2024)
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 (2024)
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) (2024)
Xing Guo, Yudong Zhang, Siyuan Lu, Zhihai Lu
Facial expression recognition: a review. Multim. Tools Appl. 83 (8) (2024)
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 (2023)
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 (2023)
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) (2023)
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 (2023)
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) (2023)
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) (2023)
Ziyang Jiang, Siyuan Lu, Jun Lin, Zhongfeng Wang
Forecasting Stock Indexes with Metabolic DWT and MWA-GM(1,1). WCSP (2022)
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 (2022)
Jian Wang, Siyuan Lu, Shui-Hua Wang, Yu-Dong Zhang
A review on extreme learning machine. Multim. Tools Appl. 81 (29) (2022)
Pengcheng He, Siyuan Lu, Xin Guan, Yibin Kang, Qingjiang Shi
A Zeroth-Order Block Coordinate Gradient Descent Method For Cellular Network Optimization. ISWCS (2022)
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) (2022)
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)
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)
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) (2022)
Siyuan Lu, Xiaolan Tang, Yu Liu, Wenlong Chen
Data Matrix Completion Based on Pattern Classification. CSAE (2021)
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) (2021)
Siyuan Lu, Shuaiqi Liu, Shui-Hua Wang, Yudong Zhang
Cerebral Microbleed Detection via Convolutional Neural Network and Extreme Learning Machine. Frontiers Comput. Neurosci. 15 (2021)
Lin Zhou, Qiuyue Zhong, Tianyi Wang, Siyuan Lu, Hongmei Hu
Speech Enhancement via Residual Dense Generative Adversarial Network. Comput. Syst. Sci. Eng. 38 (3) (2021)
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) (2021)
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 (2021)
Keli Xie, Siyuan Lu, Meiqi Wang, Zhongfeng Wang
Elbert: Fast Albert with Confidence-Window Based Early Exit. CoRR (2021)
Keli Xie, Siyuan Lu, Meiqi Wang, Zhongfeng Wang
Elbert: Fast Albert with Confidence-Window Based Early Exit. ICASSP (2021)
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)
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 (2021)
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) (2021)
Siyuan Lu, Shengjie Zhao, Qingjiang Shi
Learning-Based Massive Beamforming. GLOBECOM (2020)
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)
Conrad M. Albrecht, Marcus Freitag, Theodore G. van Kessel, Siyuan Lu, Hendrik F. Hamann
Event Clustering & Event Series Characterization on Expected Frequency. CoRR (2020)
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)
Wang Zhou, Levente J. Klein, Siyuan Lu
PAIRS AutoGeo: an Automated Machine Learning Framework for Massive Geospatial Data. IEEE BigData (2020)
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 (2020)
Siyuan Lu, Shengjie Zhao, Qingjiang Shi
Block-Diagonal Zero-Forcing Beamforming for Weighted Sum-Rate Maximization in Multi-User Massive MIMO Systems. ISCC (2020)
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 (2020)
Shuang Liang, Siyuan Lu, Jun Lin, Zhongfeng Wang
Hardware Accelerator for Engle-Granger Cointegration in Pairs Trading. ISCAS (2020)
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) (2020)
Binjing Li, Keli Xie, Siyuan Lu, Jun Lin, Zhongfeng Wang
LSTM-Based Quantitative Trading Using Dynamic K-Top and Kelly Criterion. IJCNN (2020)
Siyuan Lu, Liam O'Donnell
Teeth Category Classification by Fractional Fourier Entropy and Improved Hybrid Genetic Algorithm. ICMTEL (2) (2020)
Danyang Zhu, Siyuan Lu, Meiqi Wang, Jun Lin, Zhongfeng Wang
Efficient Precision-Adjustable Architecture for Softmax Function in Deep Learning. IEEE Trans. Circuits Syst. (12) (2020)
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 (2020)
Wang Zhou, Levente J. Klein, Siyuan Lu
PAIRS AutoGeo: an Automated Machine Learning Framework for Massive Geospatial Data. CoRR (2020)
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) (2020)
Jinming Lu, Siyuan Lu, Zhisheng Wang, Chao Fang, Jun Lin, Zhongfeng Wang, Li Du
Training Deep Neural Networks Using Posit Number System. CoRR (2019)
Siyuan Lu, Zhihai Lu, Yu-Dong Zhang
Pathological brain detection based on AlexNet and transfer learning. J. Comput. Sci. 30 (2019)
Jinming Lu, Siyuan Lu, Zhisheng Wang, Chao Fang, Jun Lin, Zhongfeng Wang, Li Du
Training Deep Neural Networks Using Posit Number System. SoCC (2019)
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) (2019)
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)
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)
Siyuan Lu, Jinming Lu, Jun Lin, Zhongfeng Wang
A Hardware-Oriented and Memory-Efficient Method for CTC Decoding. IEEE Access 7 (2019)
Siyuan Lu, Jinming Lu, Jun Lin, Zhongfeng Wang
A Hardware-Oriented and Memory-Efficient Method for CTC Decoding. CoRR (2019)
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) (2018)
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)
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) (2018)
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 (2018)
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)
Siyuan Lu
A Goal-Driven Context-Aware Architecture for Distributing Cognitive Service Group. ICSOC Workshops (2018)
Siyuan Lu, Zhihai Lu, Soriya Aok, Logan Graham
Fruit Classification Based on Six Layer Convolutional Neural Network. DSL (2018)
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) (2018)
Rui Zhang, Minwei Feng, Wei Zhang, Siyuan Lu, Fei Wang
Forecast of Solar Energy Production - A Deep Learning Approach. ICBK (2018)
Zhiyuan Zhao, Xiangru Meng, Siyuan Lu, Yuze Su
Different QoS Constraint Virtual SDN Embedding under Multiple Controllers. KSII Trans. Internet Inf. Syst. 12 (9) (2018)
Siyuan Lu, Zhihai Lu, Xianqing Chen, Shuihua Wang, Yudong Zhang
Flower classification based on single petal image and machine learning methods. ICNC-FSKD (2017)
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 (2017)
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)
Sergiy Zhuk, Tigran T. Tchrakian, Albert Akhriev, Siyuan Lu, Hendrik F. Hamann
Dynamic cloud motion forecasting from satellite images. CDC (2017)
Siyuan Lu, Shuihua Wang, Yudong Zhang
A note on the marker-based watershed method for X-ray image segmentation. Comput. Methods Programs Biomed. 141 (2017)
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) (2016)
Yudong Zhang, Siyuan Lu, Xingxing Zhou, Ming Yang, Lenan Wu, Bin Liu, Preetha Phillips, Shuihua Wang
-nearest neighbors, and support vector machine. Simul. 92 (9) (2016)
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) (2016)
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)
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)
Siyuan Lu, Shuihua Wang, Yudong Zhang
A note on the weight of inverse complexity in improved hybrid genetic algorithm. J. Medical Syst. 40 (6) (2016)
Siyuan Lu, Zhihai Lu, Preetha Phillips, Shuihua Wang, Jianguo Wu, Yudong Zhang
Fruit classification by HPA-SLFN. WCSP (2016)
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)
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) (2016)
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)
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)
Sue A. Chen, Arun Vishwanath, Saket Sathe, Shivkumar Kalyanaraman, Siyuan Lu
Understanding the performance of solar PV systems using data-driven analytics. ISGT Asia (2015)
Yaoliang Chen, Xiaomin Xu, Pohan Li, Siyuan Lu, Sheng Huang, Wei Lu, Kevin Brown
GeoMix: scalable geoscientific array data management. Middleware (Industry Track) (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Siyuan Lu