Conference Programme

October 3 2017, Tuesday
6:00pm – 8:30pm	Welcome Reception

October 4 2017, Wednesday
Venue	Ballroom, Building 5
8:30am – 9:00am	Opening Ceremony
Extreme Learning Machines, Deep Learning, and Random Forest
9:00am – 9:40am	Keynote 1: Pervasive Intelligence and Cloud Intelligence Enabling Intelligent Revolution and Intelligent Economy Speaker: Guang-Bin Huang, Nanyang Technological University, Singapore
9:40am – 10:20am	Keynote 2: Artificial Vision by Deep CNN Neocognitron Speaker: Kunihiko Fukushima, Fuzzy Logic Systems Institute, Japan
10:20am – 10:40am	Coffee Break and Discussions
10:40am – 11:20am	Keynote 3: Towards Next Generation of Deep Learning Frameworks Speaker: Mu Li, Amazon Web Services, USA
11:20am – 12:00am	Keynote 4: Learning with Random Guesses in Random Decision Forests Speaker: Tin Kam Ho, IBM Watson, USA
12:00pm – 12:40pm	Keynote 5: Ensemble Approaches to Class Imbalance Learning Speaker: Xin Yao, University of Birmingham, UK
12:40pm – 2:30pm	Lunch
Brain Science, Extreme Learning Machine, Deep Learning, Brain-Computer Interface, and Healthcare
2:30pm – 3:00pm	Keynote 6: Toward Precision Brain Monitoring in Critical Care Speaker: M. Brandon Westover, Harvard Medical School, USA
3:00pm – 3:30pm	Keynote 7: From Artificial Intelligence to Cyborg Intelligence Speaker: Gang Pan, Zhejiang University, China
3:30pm – 4:00pm	Keynote 8: Turing Machine Logic in Brain-Inspired Networks for Vision, Speech, and Natural Languages Speaker: Juyang Weng, Michigan State University, USA
4:00pm – 4:30pm	Coffee Break and Discussions
4:30pm – 5:00pm	Keynote 9: Towards Automated Spike Detection Speaker: Jing Jin, Harvard Medical School, USA
5:00pm – 5:30pm	Keynote 10: Multimodal Emotion Recognition and Vigilance Estimation Using Machine Learning Speaker: Bao-Liang Lu, Shanghai Jiaotong University, China
5:30pm – 6:00pm	Keynote 11: Non-invasive Detection of Silent Hippocampal Seizures: Applications in Epilepsy, Alzheimer’s disease, and Beyond Speaker: Alice Lam, Harvard Medical School, USA
7:00pm – 8:30pm	Dinner and Party
October 5 2017, Thursday
Venue	Meeting Room #1, Building 6
ELM Algorithms and Applications
8:30am – 9:00am	Keynote 12: Indoor Positioning Systems: Some Recent Development and Challenges Speaker: Lihua Xie, Nanyang Technological University, Singapore
9:00am – 9:30am	Keynote 13: Robotic Experience Learning based on Extreme Learning Machine Speaker: Fuchun Sun, Tsinghua University, China
9:30am – 10:00am	Keynote 14: Deterministic Methods for Pattern Classification Speaker: Kar-Ann Toh, Yonsei University, South Korea
10:00am – 10:30am	Coffee Break and Discussions
10:30am – 11:00am	Keynote 15: Extreme Learning Machines for Commonsense Reasoning and Sentiment Analysis Speaker: Erik Cambria, Nanyang Technological University, Singapore
11:00am – 11:30am	Keynote 16: Computational Intelligence and Data Analytics for Energy Internet Speaker: Zhaoyang Dong, University of New South Wales, Australia
11:30am – 12:00pm	Keynote 17: Applying Machine Learning to Open-Source Learning Management System in order to Develop Visualizations of Students’ Risk of Not Succeeding in STEM Courses Speaker: Amaury Lendasse, University of Iowa, USA
12:00pm – 12:30pm	Keynote 18: ELM Feature Learning and Its Applications in Remote Sensing Speaker: Chenwei Deng, Beijing Institute of Technology, China
12:30pm – 2:30pm	Lunch
Parallel Sessions
Venues (Building #6)	Ba Fang Yuan	Meeting Room #2		Meeting Room #3		Meeting Room #4
2:30pm – 4:30pm	Session TA1: ELM Algorithms (I)	Session TA2: Feature Learning with ELM		Session TA3: Video and Image Analysis with ELM (I)		Session TA4: Predictions with ELM
4:30pm – 5:00pm	Coffee Break and Discussions
5:00pm – 6:40pm	Session TA5: Deep Learning with ELM (I)	Session TA6: ELM in Internet Applications		Session TA7: ELM in Detection		Session TA8: Fault Diagnosis with ELM
6:30pm – 7:30pm	Dinner
7:30pm – 9:30pm	Tutorial: Extreme Learning Machines (ELM) Speaker: Guang-Bin Huang, Nanyang Technological University, Singapore Venue: Meeting Room 1, Building 6

October 6 2017, Friday
Venue	Meeting Room #1, Building 6
Brain Science, Deep Learning, Extreme Learning Machine, and Healthcare
8:30am – 9:00am	Keynote 19: Time-Sensitive Modeling, For Better Clinical Prognostication Speaker: Mohammad Ghassemi, Massachusetts Institute of Technology , USA
9:00am – 9:30am	Keynote 20: SLEEPNET: Automated Sleep Study via Deep learning Speaker: Jimeng Sun, George Institute of Technology, USA
9:30am – 10:00am	Keynote 21: How old is your brain? Insights into brain age from a large-scale sleep EEG Speaker: Haoqi Sun, Harvard Medical School, USA
10:00am – 10:30am	Coffee Break and Discussions
10:30am – 11:00am	Keynote 22: Designing ‘Intelligent’ Chips in the Face of Statistical Variations: The Neuromorphic Solution Speaker: Arindam Basu, Nanyang Technological University, Singapore
11:00am – 11:30am	Keynote 23: Cognition Behaviour Opportunity Learning for Healthcare Speaker: Yiqiang Chen, Chinese Academy of Science, China
11:30am – 12:00pm	Keynote 24: ELM Tree and Its Spark Implementation Speaker: Xi-Zhao Wang, Shenzhen University, China
12:00pm – 12:30pm	Keynote 25: Advanced Transfer Learning in Intelligent Vision and Olfaction Speaker: Lei Zhang, Chongqing University, China
12:30pm – 2:30pm	Lunch
Parallel Sessions
Venues (Building #6)	Ba Fang Yuan	Meeting Room #2	Meeting Room #3		Meeting Room #4
2:30pm – 4:30pm	Session FA1: ELM Algorithms (II)	Session FA2: Video and Image Analysis with ELM (II)	Session FA3: ELM Applications		Session FA4: Classification with ELM
4:30pm – 5:00pm	Coffee Break and Discussions
5:00pm – 6:40pm	Session FA5: Deep Learning with ELM (II)	Session FA6: ELM in Bioinformatics	Session FA7: ELM in Control		Session FA8: Online ELM
6:30pm – 7:00pm	Banquet Cocktail
7:00pm – 10:00pm	Conference Banquet Venue: Ballroom, Building 5

October 7 2017, Saturday
9:00am – 4:00pm	Social and Interactive Networking Activities (Only for confirmed registered participants) Meeting Time: 9:00am

Technical Programme

02:30pm – 04:30pm	Session TA1: ELM Algorithms (I) Chair: Chi-Man Wong Venue: Ba Fang Yuan (八方苑)
02:30pm	An ELM based Local Topology Preserving Hashing Yang Liu, Lin Feng, Shenglan Liu and Muxin Sun Dalian University of Technology, China
02:50pm	A Performance Bound of the Multi-output Extreme Learning Machine Classifier Di Wang, Ping Wang and Junzhi Shi Tianjin University, China
03:10pm	Efficient Extreme Learning Machine via Very Sparse Random Projection Chuangquan Chen, Chi-Man Vong, Chi-Man Wong and Pak Kin Wong University of Macau, Macau
03:30pm	Ensemble based error minimization reduction for ELM Sicheng Yu and Xibei Yang Jiangsu University of Science and Technology, China
03:50pm	Memristive Extreme Learning Machine: a Neuromophic Implementation Lu Zhang, Hong Cheng, Huanghuang Liang, Yang Zhao, Xingqiang Pan, Yuansheng Luo, Hongliang Guo and Yao Shuai University of Electronic Science and Technology of China, China
04:10pm	Deformable Surface Registration with Extreme Learning Machines Andrey Gritsenko¹, Zhiyu Sun¹, Stephen Baek¹, Yoan Miche², Renjie Hu¹ and Amaury Lendasse^1,3 ¹University of Iowa, USA ²Nokia Bell Labs, Finland ³Arcada University of Applied Sciences, Finland

02:30pm – 04:30pm	Session TA2: Feature Learning with ELM Chair: Chenwei Deng Venue: Meeting Room #2
02:30pm	Robust Multi-feature Extreme Learning Machine Jing Zhang and Yonggong Ren Liaoning Normal University, China
02:50pm	Super-graph classification based on composite optimal subgraph features and extreme learning machine Jun Pang^1,2, Yuhai Zhao³, Jia Xu⁴, Yu Gu³ and Ge Yu³ ¹Wuhan University of Science and Technology, China ²Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System, China ³Northeastern University, China ⁴Guangxi University, China
03:10pm	Multi-Modal Fabric Material Recognition Based on Joint Features Dimensionality Reduction and ELM Liu Xiaonan, Liu Huaping, Deng Xiaoyan and Sun Fuchun Tsinghua University, China
03:30pm	Aviation Guide Gesture Recognition Using ELM with Multiscale CNN Features Xiangyang Deng^1,2, Zhenyu Li¹, Dongshun Cui³ and Jiawen Feng¹ ¹Naval Aeronautical University, China ²Naval Engineering University, China ³Nanyang Technological University, Singapore
03:50pm	Conditional Random Mapping for Effective ELM Feature Representation Cheng Li¹, Chenwei Deng¹, Shichao Zhou¹, Baojun Zhao¹ and Guang-Bin Huang² ¹Beijing Institute of Technology, China ²Nanyang Technological University, Singapore
04:10pm	Document Classification with Word Embeddings Based on an Extreme Learning Machine Paula Lauren¹, Guangzhi Qu¹, Jucheng Yang², Paul Watta³, Guang-Bin Huang⁴and Amaury Lendasse^5,6 ¹Oakland University, USA ²Tianjin University of Science and Technology, China ³The University of Michigan-Dearborn, USA ⁴Nanyang Technological University, Singapore ⁵University of Iowa, USA ⁶Arcada University of Applied Sciences, Finland

02:30pm – 04:30pm	Session TA3: Video and Image Analysis with ELM (I) Chair: Amaury Lendasse Venue: Meeting Room #3
02:30pm	Local Receptive Fields Based Extreme Learning Machine with Hybrid Filter Kernels for Image Classification Yan Song¹, Bo He¹, Yuemei Zhu¹, Qixin Sha¹, Shen Yue¹, Tianhong Yan², Rui Nian¹ and Amaury Lendasse^3,4 ¹Ocean University of China, China ²China Jiliang University, China ³University of Iowa, USA ⁴Arcada University of Applied Sciences, Finland
02:50pm	Local Receptive Field Based Extreme Learning Machine for Histopathological Image Classiﬁcation Jing Fang, Huaping Liu, Xinying Xu and Fuchun Sun Tsinghua University, China
03:10pm	Application Study of Extreme Learning Machine in Image Edge Extraction Xiaoyi Yang¹, Xinli Deng² and Qian Wu³ ¹Chongqing Normal University, China ²Chongqing Radio & TV University, China ³Chongqing University of Technology, China
03:30pm	Extreme Learning Machine with Spatial and Time-Frequency Feature Fusion for High Performance Traffic Sign Recognition Xiaoxiao Zhou¹, Zhi-Xin Yang¹ and Peng-Bo Zhang² ¹University of Macau, Macau ²Hong Kong University of Science and Technology, Hong Kong
03:50pm	Extreme Learning Machine for Wood Material Recognition Fu Haibin, Liu Huaping, Deng Xiaoyan and Sun Fuchun Tsinghua University, China
04:10pm	Extreme Machine Learning-based Vision and LIDAR Fusion for Object Classification in Autonomous Vehicle Environment Hongbo Gao, Xinyu Zhang and Yuchao Liu Tsinghua University, China

02:30pm – 04:10pm	Session TA4: Predictions with ELM Chair: Yuanlong Yu Venue: Meeting Room #4
02:30pm	Extreme Learning Machine Strategies For Sensitive Time Series Prediction Hongbo Wang, Xi Liu, Peng Song and Xuyan Tu University of Science and Technology Beijing, China
02:50pm	An ELM-GEP two phases hybrid modeling method couple with FCM and KPCA for regional daily rainfall Prediction: a case study in Guangxi Yuzhong Peng^1,2, Huasheng Zhao³, Hao Zhang², Jie Li⁴, Wenwei Li² and Kaiping Lin³ ¹Guangxi Teachers Education University, China ²Fudan University, China ³Guangxi Climate Center Guangxi Meteorological Service, China ⁴Guangxi Science & Technology Normal University, China
03:10pm	Forecasting Solar Power using Wavelet Transform Framework based on ELM Dandan Zhang and Yuanlong Yu Fuzhou University, China
03:30pm	Efficient and Effective Software Defect Triage based on ELM Enhui Xin, Ying Yin, Yuhai Zhao and Guoren Wang Northeastern University, China
03:50pm	Travel-Time Functions Prediction with Extreme Learning Machine Jiajia Li¹, Liang Zhao¹ and Botao Wang² ¹Shenyang Aerospace University, China ²Northeastern University, China

05:00pm – 06:40pm	Session TA5: Deep Learning with ELM (I) Chair: Huaping Liu Venue: Ba Fang Yuan (八方苑)
05:00pm	Side Scan Sonar Segmentation using Trunk-Branch Convolutional Neural Network and Extreme Learning Machine Bo He¹, Yan Song¹, Peng Liu², Yuemei Zhu¹, Qixin Sha¹, Yue Shen¹, Rui Nian¹ and Tianhong Yan³ ¹Ocean University of China, China ²Tianjin University, China ³China Jiliang University, China
05:20pm	Weakly-paired Multi-modal Fusion Using Deep Extreme Learning Machine Xiaohong Wen, Huaping Liu, Gaowei Yan and Fuchun Sun Tsinghua University, China
05:40pm	Network Embedding Based on Deep Extreme Learning Machine Yunfei Chu, Chunyan Feng, Caili Guo and Yaqing Wang Beijing University of Posts and Telecommunications, China
06:00pm	ELM-Based Convolutional Neural Networks Making Move Prediction in Go Xiangguo Zhao, Zhongyu Ma, Boyang Li and Hengyu Liu Northeastern University, China
06:20pm	Hyperspectral Image Classification Using Convolutional Neural Network and Extreme Learning Machine Faxian Cao, Zhijing Yang and Mengying Jiang Guangdong University of Technology, China

05:00pm – 06:40pm	Session TA6: ELM in Internet Applications Chair: Kar-Ann Toh Venue: Meeting Room #2
05:00pm	A line feature extraction method for finger-knuckle-print verification Jooyoung Kim¹, Kangrok Oh¹, Beom-Seok Oh², Zhiping Lin² and Kar-Ann Toh¹ ¹Yonsei University, Republic of Korea ²Nanyang Technological University, Singapore
05:20pm	Protecting User Privacy in Mobile Environment using ELM-UPP Yanhui Li, Ye Yuan and Guoren Wang Northeastern University, China
05:40pm	User Identification across Chinese Social Networks Based on Least Information Using ELM Yao Li and Huilin Liu Northeastern University, China
06:00pm	DAP: A Distribution-Aware Partition Based Framework For Supporting Continuous Top-$K$ Queries Over Streaming Data Using ELM Rui Zhu¹, Hong Jiang² and Bin Wang³ ¹Shenyang Aerospace University, China ²Shenyang University of technology, China ³Northeastern University, China
06:20pm	Anomaly-Based Intrusion Detection using Extreme Learning Machine and Aggregation of Network Traffic Statistics in Probability Space Buse Gul Atli¹, Yoan Miche², Ian Oliver², Silke Holtmanns², Aapo Kalliola² and Amaury Lendasse³ ¹Aalto University, Finland ²Nokia Bell Labs, Finland ³University of Iowa, USA

05:00pm – 06:20pm	Session TA7: ELM in Detection Chair: Lei Sun Venue: Meeting Room #3
05:00pm	A Normalized Mutual Information Estimator Compensating Variance Fluctuations for Motion Detection Kun Qin¹, Lei Sun¹, Shengmin Zhou², Badong Chen³, Beom-Seok Oh⁴ and Zhiping Lin⁴ ¹Beijing Institute of Technology, China ²Zhejiang HANMA Photoelectric Equipment Co., Ltd., China ³Xi’an Jiaotong University, China ⁴Nanyang Technological University, Singapore
05:20pm	Extreme Learning Machine Based Ship Detection Using Synthetic Aperture Radar Shu-Li Jia¹, Chong Qu¹, Wenjing Lin², Shuhao Cai² and Liyong Ma² ¹Shanghai Marine Diesel Engine Research Institute, China ²Harbin Institue of Technology, China
05:40pm	Mislabel Detection of Finnish Publication Ranks Anton Akusok¹, Mirka Saarela², Tommi Kärkkäinen², Kaj-Mikael Björk³ and Amaury Lendasse⁴ ¹Arcada University of Applied Sciences, Finland ²University of Jyvaskyl, Finland ³Risklab at Arcada University of Applied Sciences, Finland ⁴University of Iowa, USA
06:00pm	A robust object tracking approach with a composite similarity measure Shu-Heng Ma¹, Zhan-Li Sun¹, Kin-Man Lam² ¹Anhui University, China ²The Hong Kong Polytechnic University, Hong Kong

05:00pm – 06:40pm	Session TA8: Fault Diagnosis with ELM Chair: Pak Kin Wong Venue: Meeting Room #4
05:00pm	Fault Diagnosis on Sliding Shoe Wear of Axial Piston Pump Based on Extreme Learning Machine Jinwei Hu, Yuan Lan, Xianghui Zeng, Xiaohong Han, Bing Wu, Liwei Yao and Jinhong Wei Taiyuan University of Technology, China
05:20pm	Fault Diagnosis for Wind Turbine Drivetrain: A Versatile Dual-ELMs Network Approach Xian-Bo Wang, Zhi-Xin Yang and Pak Kin Wong University of Macau, Macau
05:40pm	Trust-aware Personalized Route Query Using Extreme Learning Machine in LBSNs Yuliang Ma, Ye Yuan and Guoren Wang Northeastern University, China
06:00pm	Model-aware Heterogeneous Data Embedding: A Data-driven Approach Wentao Zhao¹, Chengzhang Zhu^1,2, Jianglong Song¹, Qian Li², Xinwang Liu¹ and Jianping Yin¹ ¹National University of Defense Technology, China ²University of Technology Sydney, Australia

Oct 6 2017, Friday

02:30pm – 04:30pm	Session FA1: ELM Algorithms (II) Chair: Michael Li Venue: Ba Fang Yuan (八方苑)
02:30pm	An Ensemble Algorithm for Gene Expression Data Classification Huijuan Lu, Yaqiong Meng, Ke Yan and Minchao Ye China Jiliang University, China
02:50pm	Empirical Studies on Nonlinear Curve Fitting Problems Using ELMs and RBFs Michael Li, Santoso Wibowo and William Guo Central Queensland University, Australia
03:10pm	Distance Estimation for Incomplete Data by Extreme Learning Machine Emil Eirola¹, Anton Akusok¹, Kaj-Mikael Björk² and Amaury Lendasse³ ¹Arcada University of Applied Sciences, Finland ²Risklab at Arcada University of Applied Sciences, Finland ³University of Iowa, USA
03:30pm	A Kind of Extreme Learning Machine Based on Memristor Activation Function Hanman Li, Lidan Wang and Shukai Duan Southwest University, China
03:50pm	Sparse and Heuristic Extreme Learning Machine for Classifier and Regressor Fusion Jinhong Huang, Zhuliang Yu and Zhenghui Gu South China University of Technology, China
04:10pm	Input Weights Enhanced Semi-Supervised Extreme Learning Machines Wenhui Wang Zhejiang University of Water Resources and Electric Power, China

02:30pm – 04:10pm	Session FA2: Video and Image Analysis with ELM (II) Chair: Jing Liang Venue: Meeting Room #2
02:30pm	Sparse representation feature for facial expression recognition Caitong Yue¹, Jing Liang¹, Boyang Qu², Zhuopei Lu¹, Baolei Li³ and Yuhong Han⁴ ¹Zhengzhou University, China ²Zhongyuan University of Technology, China ³Nanyang Normal University, China ⁴South China University of Technology, China
02:50pm	Person Recognition via Facial Expression Using ELM Classifier Based CNN Feature Maps Ulas Baran Baloglu¹, Ozal Yildirim¹ and Aysegul Ucar² ¹Munzur University, Turkey ²Firat University, Turkey
03:10pm	Facial Emotion Classification based on Multilayer Extreme Learning Machine Han Lu, Jiuwen Cao and Tianlei Wang Hangzhou Dianzi University, China
03:30pm	Facial age estimation with a hybrid model Zhan-Li Sun Anhui University, China
03:50pm	A Novel Object Detection, Tracking and Recognition Approach with Multi-Cameras Xinzhong Zhu^1,2, Huiying Xu², Xinwang Liu³, Jianping Yin³, Jianmin Zhao² and Jie Tian¹ ¹XIDIAN University, China ²Zhejiang Normal University, China ³National University of Defense Technology, China

02:30pm – 04:30pm	Session FA3: ELM Applications Chair: Erik Cambria Venue: Meeting Room #3
02:30pm	Asynchronous Reinforcement Learning Algorithms for Solving Discrete Space Path Planning Problems Xingyu Zhao, Shifei Ding and Tongfeng Sun China University of Mining and Technology, China
02:50pm	A Framework for Privacy Quantification: Measuring the Impact of Privacy Techniques through Mutual Information, Distance Mapping and Machine Learning Wei Ren¹, Ian Oliver¹, Yoan Miche¹, Silke Holtmanns¹ and Amaury Lendasse² ¹Nokia Bell Labs, Finland ²University of Iowa, USA
03:10pm	A Highly Efficient Intrusion Detection Method Based on Hierarchical Extreme Learning Machine Linyuan Yu¹, Yan Liu¹, Wentao Zhao¹, Qiang Liu¹ and Jiaohua Qin² ¹National University of Defense Technology, China ²Central South University of Forestry and Technology, China
03:30pm	An Extended Extreme Learning Machine with Residual Compensation and its Application to Device-Free Localization Jie Zhang, Ruofei Gao, Yanjiao Li and Wendong Xiao University of Science and Technology Beijing, China
03:50pm	A hardware-friendly ELM based on hard-limit functions Edoardo Ragusa¹, Christian Gianoglio¹, Paolo Gastaldo¹, Rodolfo Zunino¹ and Erik Cambria² ¹University of Genoa, Italy ²Nanyang Technological University, Singapore
04:10pm	Multi-scale and Hierarchical Embedding for Polarity Shift Sensitive Sentiment Classification Qian Li¹, Qiang Wu¹, Chengzhang Zhu^1,2, Xinwang Liu², Jian Zhang¹, and Jianping Yin² ¹University of Technology Sydney, Australia ²National University of Defense Technology, China

02:30pm – 04:30pm	Session FA4: Classification with ELM Chair: Zhiping Lin Venue: Meeting Room #4
02:30pm	A New Place of Interest Classification Model with Extreme Learning Machine Zhen Zhang, Xiangguo Zhao and Guoren Wang Northeastern University, China
02:50pm	Classification of Burden Distribution Matrix based on ELM Yanan Liu, Sen Zhang, Yixin Yin, Xiaoli Su and Jie Dong University of Science and Technology Beijing, China
03:10pm	A Fast Machine Compression Scheme for Underwater Color Images Based on Extreme Learning Machine Shujing Zhang¹, Jiao Song¹, Cece Cao¹, Hua Zhao¹, Bo He and Jiaxing Chen¹ ¹Hebei Normal University, China ²Ocean University of China, China
03:30pm	Classification on Trajectory data Using Extreme Learning Machine Keyan Cao¹, Fangjun Luan¹and Xiangguo Zhao² ¹Shenyang Jianzhu University, China ²Northeastern University, China
03:50pm	Target Coding for Extreme Learning Machine Dongshun Cui¹, Kai Hu², Guanghao Zhang¹, Wei Han¹ and Guang-Bin Huang¹ ¹Nanyang Technological University, Singapore ²Xiangtan University, China
04:10pm	Comparing ELM with SVM in the field of sentiment classification of social media text data Zhihuan Chen^1,2, Zhaoxia Wang¹, Zhiping Lin² and Ting Yang³ ¹Agency for Science, Technology and Research (ASTAR), Singapore* ²Nanyang Technological University, Singapore ³Tianjin University, China

05:00pm – 06:40pm	Session FA5: Deep Learning with ELM (II) Chair: Zhi-Xin Yang Venue: Ba Fang Yuan (八方苑)
05:00pm	Multi-view CNN Feature Aggregation with ELM Auto-Encoder for 3D Shape Recognition Zhi-Xin Yang, Lu-Lu Tang, Kun Zhang and Pak Kin Wong University of Macau, Macau
05:20pm	A Robust Multilayer Extreme Learning Machine Using Kernel Risk-Sensitive Loss Criterion Xiong Luo^1,2,3, Ying Li^1,2,3, Weiping Wang^1,2,3, Xiaojuan Ban^1,2, Jenq-Haur Wang⁴ and Wenbing Zhao⁵ ¹University of Science and Technology Beijing, China ²Beijing Key Laboratory of Knowledge Engineering for Materials Science, China ³Key Laboratory of Geological Information Technology, China ⁴National Taipei University of Technology, Taiwan ⁵Cleveland State University, USA
05:40pm	Extreme Learning Tree Anton Akusok¹, Emil Eirola¹, Kaj-Mikael Björk² and Amaury Lendasse³ ¹Arcada University of Applied Sciences, Finland ²Risklab at Arcada University of Applied Sciences, Finland ³University of Iowa, USA
06:00pm	Multi-Modal based Extreme Learning Machine with Multi-Scale Local Receptive Fields for Surface Material Classification Fang Jing, Huaping Liu, Xinying Xu and Fuchun Sun Tsinghua University, China
06:20pm	Deep Weighted Extreme Learning Machine Tianlei Wang¹, Jiuwen Cao¹, Xiaoping Lai¹ and Badong Chen² ¹Hangzhou Dianzi University, China ²Xi’an Jiaotong University, China

05:00pm – 06:40pm	Session FA6: ELM in Bioinformatics Chair: Lijuan Duan Venue: Meeting Room #2
05:00pm	Positive and Unlabeled Extreme Learning Machine for Drug-Drug Interactions Discovery Xin Bi, He Ma and Jianhua Li Northeastern University, China
05:20pm	Weighted Extreme Learning Machine for P300 Detection with Application to Brain Computer Interface Wanzeng Kong, Shijie Guo, Xinyu Zhang, Yong Peng and Hong Zeng Hangzhou Dianzi University, China
05:40pm	An Extreme Learning Machine Based on Artificial Immune System Huiyuan Tian, Shijian Li, Tianqi Wu and Min Yao Zhejiang University, China
06:00pm	Gender Identification Based on Human Brain Structural MRI with a Multi-layer 3D Convolution Extreme Learning Machine Longfei Zhao, Zhiguo Luo, Jian Qin and Dewen Hu National University of Defense Technology, China
06:20pm	Seizure Prediction for iEEG Signal with Bag-of-Wave Model and Extreme Learning Machine Song Cui, Lijuan Duan, Yuanhua Qiao and Xing Su Beijing University of Technology, China

05:00pm – 06:20pm	Session FA7: ELM in Control Chair: Yoshitaka Itoh Venue: Meeting Room #3
05:00pm	Adaptive Neural Control of Vehicle Yaw Stability with Active Steering System using Extreme Learning Machine Pak Kin Wong, Wei Huang, Ka In Wong and Chi-Man Vong University of Macau, Macau
05:20pm	Reconstructing Bifurcation Diagrams of Induction Motor Drives using an Extreme Learning Machine Yoshitaka Itoh and Masaharu Adachi Tokyo Denki University, Japan
05:40pm	Selection of Lane Changing Opportunity in Highway Merging Area Based on K-ELM Model Senlin Cheng, Yang Xu, Ruixue Zong and Renming Deng Chongqing University, China
06:00pm	A Machine Learning Approach to Wind Turbine Clutter Recognition Hongjian Song, Ruqi Wang and Wenying Wang Nanjing Research Institute of Electronics Technology, China

05:00pm – 06:40pm	Session FA8: Online ELM Chair: Lei Zhang Venue: Meeting Room #4
05:00pm	A novel recommendation system in financial service selection using Incremental ELM Jingming Xue, Sihang Zhou, Qiang Liu, Xinwang Liu and Jianping Yin National University of Defense Technology, China
05:20pm	Initial-Training-Free Online Sequential Extreme Learning Machine Based Adaptive Engine Air-fuel Ratio Control Pak Kin Wong, Xianghui Gao, Ka In Wong, Chi-Man Vong and Zhixin Yang University of Macau, Macau
05:40pm	The Parameter Updating Method Based on Kalman Filter for Online Sequential Extreme Learning Machine Xiaoming Xu and Chenglin Wen Hangzhou Dianzi University, China
06:00pm	Model research on CFBB’s boiler efficiency based on an improved online learning neural network Guoqiang Li, Bin Chen, Xiaobin Qi and Lu Zhang Yanshan University, China
06:20pm	Hierarchical Pruning Discriminative Extreme Learning Machine Tan Guo, Xiaoheng Tan and Lei Zhang Chongqing University, China

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