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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2021
[j68]Bin Gu, Xiang Geng, Wanli Shi, Yingying Shan, Yufang Huang, Zhijie Wang, Guansheng Zheng:
Solving large-scale support vector ordinal regression with asynchronous parallel coordinate descent algorithms. Pattern Recognit. 109: 107592 (2021)- 2020
- [j67]Wen Ye
, Bo Wang, Yanhong Liu, Bin Gu, Hongmei Chen:
Deep Gaussian Process Regression for Performance Improvement of POS During GPS Outages. IEEE Access 8: 117483-117492 (2020) - [j66]Bin Gu, Long Chen, Yufeng Ke, Yijie Zhou, Haiqing Yu, Kun Wang, Dong Ming:
The effects of varying levels of mental workload on motor imagery based brain-computer interface. Int. J. Embed. Syst. 12(3): 315-323 (2020) - [j65]Qianqian Lin, Shuling Wang, Bohua Zhan, Bin Gu:
Modelling and Verification of Real-Time Publish and Subscribe Protocol Using Uppaal and Simulink/Stateflow. J. Comput. Sci. Technol. 35(6): 1324-1342 (2020) - [j64]Bin Gu, Wenhan Xian, Zhouyuan Huo, Cheng Deng, Heng Huang:
A Unified q-Memorization Framework for Asynchronous Stochastic Optimization. J. Mach. Learn. Res. 21: 190:1-190:53 (2020) - [j63]Bo Liu, Yuan-rui Zhang, Xuelian Cao, Yu Liu, Bin Gu, Tie-xin Wang:
A survey of model-driven techniques and tools for cyber-physical systems. Frontiers Inf. Technol. Electron. Eng. 21(11): 1567-1590 (2020) - [j62]Wen Ye, Bin Gu, Yun Wang:
Airborne Distributed Position and Orientation System Transfer Alignment Method Based on Fiber Bragg Grating. Sensors 20(7): 2120 (2020) - [c120]Wanli Shi, Bin Gu, Xiang Li, Heng Huang:
Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization. AAAI 2020: 5734-5741 - [c119]Zhou Zhai, Bin Gu, Xiang Li, Heng Huang:
Safe Sample Screening for Robust Support Vector Machine. AAAI 2020: 6981-6988 - [c118]Bin Gu, Kevin Hong, Ni Huang:
Introduction to the Minitrack on Crowd-based Platforms. HICSS 2020: 1-3 - [c117]Lin Hu, Zhenhua Wu, Bin Gu:
Product-driven Entrepreneurs and Online Crowdfunding. HICSS 2020: 1-10 - [c116]Bin Gu, Wu Guo, Lirong Dai, Jun Du:
An Improved Deep Neural Network for Modeling Speaker Characteristics at Different Temporal Scales. ICASSP 2020: 6814-6818 - [c115]Runxue Bao, Bin Gu, Heng Huang:
Fast OSCAR and OWL Regression via Safe Screening Rules. ICML 2020: 653-663 - [c114]Fenglin Ding, Wu Guo, Bin Gu, Zhen-Hua Ling, Jun Du:
Unsupervised Regularization-Based Adaptive Training for Speech Recognition. INTERSPEECH 2020: 996-1000 - [c113]Fenglin Ding, Wu Guo, Bin Gu, Zhen-Hua Ling, Jun Du:
Adaptive Speaker Normalization for CTC-Based Speech Recognition. INTERSPEECH 2020: 1266-1270 - [c112]Bin Gu, Wu Guo, Fenglin Ding, Zhen-Hua Ling, Jun Du:
An Adaptive X-Vector Model for Text-Independent Speaker Verification. INTERSPEECH 2020: 1506-1510 - [c111]Wanli Shi, Victor S. Sheng, Xiang Li, Bin Gu:
Semi-Supervised Multi-Label Learning from Crowds via Deep Sequential Generative Model. KDD 2020: 1141-1149 - [c110]Bin Gu, Zhiyuan Dang, Xiang Li, Heng Huang:
Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data. KDD 2020: 2483-2493 - [c109]Jincao Feng, Weikai Miao, Hanyue Zheng, Yihao Huang, Jianwen Li, Zheng Wang, Ting Su, Bin Gu, Geguang Pu, Mengfei Yang, Jifeng He:
FREPA: an automated and formal approach to requirement modeling and analysis in aircraft control domain. ESEC/SIGSOFT FSE 2020: 1376-1386 - [p1]Zhiyuan Dang, Bin Gu, Heng Huang:
Large-Scale Kernel Method for Vertical Federated Learning. Federated Learning 2020: 66-80 - [i22]Bin Gu, Wu Guo:
An Improved Deep Neural Network for Modeling Speaker Characteristics at Different Temporal Scales. CoRR abs/2001.04584 (2020) - [i21]Bin Gu, Wu Guo:
Gaussian speaker embedding learning for text-independent speaker verification. CoRR abs/2001.04585 (2020) - [i20]Zhouyuan Huo, Bin Gu, Heng Huang:
Large Batch Training Does Not Need Warmup. CoRR abs/2002.01576 (2020) - [i19]Zhouyuan Huo, Qian Yang, Bin Gu, Lawrence Carin, Heng Huang:
Faster On-Device Training Using New Federated Momentum Algorithm. CoRR abs/2002.02090 (2020) - [i18]Runxue Bao, Bin Gu, Heng Huang:
Fast OSCAR and OWL Regression via Safe Screening Rules. CoRR abs/2006.16433 (2020) - [i17]Bin Gu, Zhiyuan Dang, Xiang Li, Heng Huang:
Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data. CoRR abs/2008.06197 (2020) - [i16]Bin Gu, An Xu, Zhouyuan Huo, Cheng Deng, Heng Huang:
Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learning. CoRR abs/2008.06233 (2020) - [i15]Junyi Li, Bin Gu, Heng Huang:
Improved Bilevel Model: Fast and Optimal Algorithm with Theoretical Guarantee. CoRR abs/2009.00690 (2020)
2010 – 2019
- 2019
- [j61]Jianli Li, Siyuan Zou, Bin Gu, Jiancheng Fang:
Adaptive two-filter smoothing based on second-order divided difference filter for distributed position and orientation system. Sci. China Inf. Sci. 62(9): 192204:1-192204:14 (2019) - [j60]Wei Chen, Bin Gu, Qiang Ye, Kevin Xiaoguo Zhu:
Measuring and Managing the Externality of Managerial Responses to Online Customer Reviews. Inf. Syst. Res. 30(1): 81-96 (2019) - [j59]Reza Mousavi, Bin Gu:
The Impact of Twitter Adoption on Lawmakers' Voting Orientations. Inf. Syst. Res. 30(1): 133-153 (2019) - [j58]Eunae Yoo, Bin Gu, Elliot Rabinovich:
Diffusion on Social Media Platforms: A Point Process Model for Interaction among Similar Content. J. Manag. Inf. Syst. 36(4): 1105-1141 (2019) - [j57]Ni Huang, Gordon Burtch, Bin Gu, Yili Hong, Chen Liang, Kanliang Wang, Dongpu Fu, Bo Yang:
Motivating User-Generated Content with Performance Feedback: Evidence from Randomized Field Experiments. Manag. Sci. 65(1): 327-345 (2019) - [j56]Robert J. Anderson, James J. Cook, Natalie A. Delpratt, John C. Nouls, Bin Gu, James O. McNamara, Brian B. Avants, G. Allan Johnson, Alexandra Badea:
Small Animal Multivariate Brain Analysis (SAMBA) - a High Throughput Pipeline with a Validation Framework. Neuroinformatics 17(3): 451-472 (2019) - [j55]Bin Gu, Xiang Geng, Xiang Li, Guansheng Zheng:
Efficient inexact proximal gradient algorithms for structured sparsity-inducing norm. Neural Networks 118: 352-362 (2019) - [j54]Victor S. Sheng, Jing Zhang, Bin Gu, Xindong Wu:
Majority Voting and Pairing with Multiple Noisy Labeling. IEEE Trans. Knowl. Data Eng. 31(7): 1355-1368 (2019) - [c108]Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang:
Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization. AAAI 2019: 1503-1510 - [c107]Bin Gu, Zhouyuan Huo, Heng Huang:
Scalable and Efficient Pairwise Learning to Achieve Statistical Accuracy. AAAI 2019: 3697-3704 - [c106]Chunxiao Li, Hongchang Wang, Wei Min, Zhengyang Tang, Bin Gu:
Predicting Financial Risk Using Non-Financial Data: Design and Evaluation of a Predictive Analytics Framework. AMCIS 2019 - [c105]Bin Gu, Wu Guo, Yao Liu, Jian Sun:
Clustering-Based Score Normalization for Speaker Verification. APSIPA 2019: 553-557 - [c104]Jian Sun, Wu Guo, Bin Gu, Yao Liu:
Bidirectional Temporal Convolution with Self-Attention Network for CTC-Based Acoustic Modeling. APSIPA 2019: 1262-1266 - [c103]Zhongpeng Wang, Yijie Zhou, Long Chen, Bin Gu, Shuang Liu, Minpeng Xu, Hongzhi Qi, Feng He, Dong Ming:
A visual-haptic neurofeedback training improves sensorimotor cortical activations and BCI performance. EMBC 2019: 6335-6338 - [c102]Yili Kevin Hong, Bin Gu, Nina Ni Huang:
Introduction to the Minitrack on Crowd-based Platforms. HICSS 2019: 1-4 - [c101]Eunae Yoo, Bin Gu, Elliot Rabinovich:
Competition and Coopetition among Social Media Content. HICSS 2019: 1-10 - [c100]Runxue Bao, Bin Gu, Heng Huang:
Efficient Approximate Solution Path Algorithm for Order Weight L_1-Norm with Accuracy Guarantee. ICDM 2019: 958-963 - [c99]Lin Hu, Zhenhua Wu, Bin Gu:
Product-driven Entrepreneurs and Crowdfunding. ICIS 2019 - [c98]Hongchang Wang, Chunxiao Li, Bin Gu, Wei Min:
Does AI-based Credit Scoring Improve Financial Inclusion? Evidence from Online Payday Lending. ICIS 2019 - [c97]Bin Gu, Wenhan Xian, Heng Huang:
Asynchronous Stochastic Frank-Wolfe Algorithms for Non-Convex Optimization. IJCAI 2019: 737-743 - [c96]Xiang Geng, Bin Gu, Xiang Li, Wanli Shi, Guansheng Zheng, Heng Huang:
Scalable Semi-Supervised SVM via Triply Stochastic Gradients. IJCAI 2019: 2364-2370 - [c95]Wanli Shi, Bin Gu, Xiang Li, Xiang Geng, Heng Huang:
Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization. IJCAI 2019: 3418-3424 - [c94]Shuyang Yu, Bin Gu, Kunpeng Ning, Haiyan Chen, Jian Pei, Heng Huang:
Tackle Balancing Constraint for Incremental Semi-Supervised Support Vector Learning. KDD 2019: 1587-1595 - [c93]Lin Hu, Zhenhua Wu, Bin Gu:
Product-driven Entrepreneurs and Crowdfunding. PACIS 2019: 39 - [i14]Feihu Huang, Bin Gu, Zhouyuan Huo, Songcan Chen, Heng Huang:
Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization. CoRR abs/1902.06158 (2019) - [i13]Xiang Geng, Bin Gu, Xiang Li, Wanli Shi, Guansheng Zheng, Heng Huang:
Scalable Semi-Supervised SVM via Triply Stochastic Gradients. CoRR abs/1907.11584 (2019) - [i12]Wanli Shi, Bin Gu, Xiang Li, Xiang Geng, Heng Huang:
Quadruply Stochastic Gradients for Large Scale Nonlinear Semi-Supervised AUC Optimization. CoRR abs/1907.12416 (2019) - [i11]Wanli Shi, Bin Gu, Xiang Li, Heng Huang:
Quadruply Stochastic Gradient Method for Large Scale Nonlinear Semi-Supervised Ordinal Regression AUC Optimization. CoRR abs/1912.11193 (2019) - [i10]Zhou Zhai, Bin Gu, Xiang Li, Heng Huang:
Safe Sample Screening for Robust Support Vector Machine. CoRR abs/1912.11217 (2019) - 2018
- [j53]Bin Gu, Tiecheng Song, Jing Hu, Zhengquan Li, Dafei Sun:
Use of a Rapid Method for Achieving Optimal Sensing Duration and Analysis of Data Rate Loss of Cognitive Radio Due to CLT. IEEE Access 6: 24264-24278 (2018) - [j52]Xiang Li, Huaimin Wang, Bin Gu, Charles X. Ling:
The convergence of linear classifiers on large sparse data. Neurocomputing 273: 622-633 (2018) - [j51]Bin Gu, Yingying Shan, Victor S. Sheng, Yuhui Zheng, Shuo Li:
Sparse regression with output correlation for cardiac ejection fraction estimation. Inf. Sci. 423: 303-312 (2018) - [j50]Yongsuk Kim, Sirkka L. Jarvenpaa, Bin Gu:
External Bridging and Internal Bonding: Unlocking the Generative Resources of Member Time and Attention Spent in Online Communities. MIS Q. 42(1) (2018) - [j49]Bin Gu:
A regularization path algorithm for support vector ordinal regression. Neural Networks 98: 114-121 (2018) - [j48]Bin Gu, Xin Quan, Yunhua Gu, Victor S. Sheng, Guansheng Zheng:
Chunk incremental learning for cost-sensitive hinge loss support vector machine. Pattern Recognit. 83: 196-208 (2018) - [j47]Jianli Li, Yun Wang, Bin Gu, Siyuan Zou:
State Parameter Adjustment Filtering Method of Airborne POS Based on Instantaneous Observable Degree Model. IEEE Trans. Instrum. Meas. 67(9): 2153-2159 (2018) - [j46]Bin Gu, Victor S. Sheng:
A Solution Path Algorithm for General Parametric Quadratic Programming Problem. IEEE Trans. Neural Networks Learn. Syst. 29(9): 4462-4472 (2018) - [c92]Bin Gu, Miao Xin, Zhouyuan Huo, Heng Huang:
Asynchronous Doubly Stochastic Sparse Kernel Learning. AAAI 2018: 3085-3092 - [c91]Bin Gu, De Wang, Zhouyuan Huo, Heng Huang:
Inexact Proximal Gradient Methods for Non-Convex and Non-Smooth Optimization. AAAI 2018: 3093-3100 - [c90]Zhouyuan Huo, Bin Gu, Ji Liu, Heng Huang:
Accelerated Method for Stochastic Composition Optimization With Nonsmooth Regularization. AAAI 2018: 3287-3294 - [c89]Bin Gu, Zhouyuan Huo, Heng Huang:
Asynchronous Doubly Stochastic Group Regularized Learning. AISTATS 2018: 1791-1800 - [c88]Zhongpeng Wang, Long Chen, Weibo Yi, Bin Gu, Shuang Liu, Xingwei An, Minpeng Xu, Hongzhi Qi, Feng He, Baikun Wan, Dong Ming:
Enhancement of cortical activation for motor imagery during BCI-FES training*. EMBC 2018: 2527-2530 - [c87]Yili Hong, Bin Gu, Nina Ni Huang:
Introduction to the Minitrack on Crowd-based Platforms. HICSS 2018: 1-3 - [c86]Chen Liang, Yili Kevin Hong, Bin Gu:
Home Bias in Online Employment. HICSS 2018: 1-10 - [c85]Yijie Zhou, Bin Gu, Tingfei Dai, Zhongpeng Wang, Xizi Song, Minpeng Xu, Feng He, Dong Ming:
A Multiuser Collaborative Strategy for MI-BCI System. DSL 2018: 1-5 - [c84]Chen Liang, Yili Hong, Bin Gu, Jing Peng:
Gender Wage Gap in Online Gig Economy and Gender Differences in Job Preferences. ICIS 2018 - [c83]Bin Gu, Zhouyuan Huo, Cheng Deng, Heng Huang:
Faster Derivative-Free Stochastic Algorithm for Shared Memory Machines. ICML 2018: 1807-1816 - [c82]Zhouyuan Huo, Bin Gu, Qian Yang, Heng Huang:
Decoupled Parallel Backpropagation with Convergence Guarantee. ICML 2018: 2103-2111 - [c81]Chunxiao Li, Bin Gu, Chenhui Guo:
Strategic Behavior in Mobile Behavioral Intervention Platforms: Evidence from a Field Quasi-experiment on a Health Management App. ICSH 2018: 130-141 - [c80]Bin Gu, Xingwang Ju, Xiang Li, Guansheng Zheng:
Faster Training Algorithms for Structured Sparsity-Inducing Norm. IJCAI 2018: 2163-2169 - [c79]Bin Gu, Yingying Shan, Xiang Geng, Guansheng Zheng:
Accelerated Asynchronous Greedy Coordinate Descent Algorithm for SVMs. IJCAI 2018: 2170-2176 - [c78]Bin Gu, Xiao-Tong Yuan, Songcan Chen, Heng Huang:
New Incremental Learning Algorithm for Semi-Supervised Support Vector Machine. KDD 2018: 1475-1484 - [c77]Zhouyuan Huo, Bin Gu, Heng Huang:
Training Neural Networks Using Features Replay. NeurIPS 2018: 6660-6669 - [c76]Chen Liang, Yili Hong, Bin Gu:
Home Bias in Hiring: Evidence from an Online Labor Market. PACIS 2018: 49 - [i9]Zhouyuan Huo, Bin Gu, Qian Yang, Heng Huang:
Decoupled Parallel Backpropagation with Convergence Guarantee. CoRR abs/1804.10574 (2018) - [i8]Zhouyuan Huo, Bin Gu, Heng Huang:
Training Neural Networks Using Features Replay. CoRR abs/1807.04511 (2018) - 2017
- [j45]Chi-San Ho, Paul Damien, Bin Gu, Prabhudev Konana:
The time-varying nature of social media sentiments in modeling stock returns. Decis. Support Syst. 101: 69-81 (2017) - [j44]Ruyi Ge, Juan Feng, Bin Gu, Pengzhu Zhang:
Predicting and Deterring Default with Social Media Information in Peer-to-Peer Lending. J. Manag. Inf. Syst. 34(2): 401-424 (2017) - [j43]Xueming Luo, Bin Gu, Jie Zhang, Chee Wei Phang:
Expert Blogs and Consumer Perceptions of Competing Brands. MIS Q. 41(2): 371-395 (2017) - [j42]Bin Gu, Victor S. Sheng, KengYeow Tay, Walter Romano, Shuo Li:
Cross Validation Through Two-Dimensional Solution Surface for Cost-Sensitive SVM. IEEE Trans. Pattern Anal. Mach. Intell. 39(6): 1103-1121 (2017) - [j41]Bin Gu, Victor S. Sheng:
A Robust Regularization Path Algorithm for ν-Support Vector Classification. IEEE Trans. Neural Networks Learn. Syst. 28(5): 1241-1248 (2017) - [j40]Bin Gu, Xingming Sun, Victor S. Sheng:
Structural Minimax Probability Machine. IEEE Trans. Neural Networks Learn. Syst. 28(7): 1646-1656 (2017) - [c75]Ruyi Ge, Bin Gu, Juan Feng:
Borrower's Self-Disclosure of Social Media Information in P2P Lending. HICSS 2017: 1-10 - [c74]Ni Huang, Bin Gu, Gordon Burtch, Yili Hong, Liang Chen, Kanliang Wang, Dongpu Fu, Bo Yang, Wei Lan:
Designing Effective Performance Feedback Notification Systems to Stimulate Content Contribution: Evidence from a Crowdsourcing Recipe Platform. HICSS 2017: 1-10 - [c73]Irfan Kanat, Yili Hong, Bin Gu, Raghu Santanam:
If You Let Them Build It, They Will Stay! An Empirical Study of Add-on Content and User Engagement. HICSS 2017: 1-9 - [c72]Chen Liang, Yili Hong, Bin Gu:
Moral Hazards and Effects of IT-enabled Monitoring Systems in Online Labor Markets. HICSS 2017: 1-10 - [c71]Jingjing Tong, Shuang Liu, Yufeng Ke, Bin Gu, Feng He, Baikun Wan, Dong Ming:
EEG-based emotion recognition using nonlinear feature. iCAST 2017: 55-59 - [c70]Bin Gu, Long Chen, Yufeng Ke, Shuang Liu, Jiabei Tang, Zhongpeng Wang, Yijie Zhou, Haiqing Yu, Dong Ming:
The effects of cognitive parallel task with varying memory load on motor imagery BCI. iCAST 2017: 432-435 - [c69]Chen Liang, Kevin Hong, Bin Gu:
Home Bias in Online Employment. ICIS 2017 - [c68]Jingchuan Pu, Young Kwark, Sangpil Han, Bin Gu, Qiang Ye:
The Double-Edged Sword of Expert Reviewer Programs: The Effects of Offering Expert Reviewer Status on Review Generation. ICIS 2017 - [c67]Xiaofei Zhang, Wei Chen, Bin Gu, Xitong Guo:
The Impact of Introductory Incentives on New Users: Evidence from an Online Health Community. ICIS 2017 - [c66]Bin Gu, Guodong Liu, Heng Huang:
Groups-Keeping Solution Path Algorithm for Sparse Regression with Automatic Feature Grouping. KDD 2017: 185-193 - [c65]Xiang Li, Bin Gu, Shuang Ao, Huaimin Wang, Charles X. Ling:
Triply Stochastic Gradients on Multiple Kernel Learning. UAI 2017 - [i7]Robert J. Anderson, James J. Cook, Natalie A. Delpratt, John C. Nouls, Bin Gu, James O. McNamara, Brian B. Avants, G. Allan Johnson, Alexandra Badea:
An HPC Pipeline with Validation Framework for Small Animal Multivariate Brain Analysis (SAMBA). CoRR abs/1709.10483 (2017) - [i6]Zhouyuan Huo, Bin Gu, Heng Huang:
Accelerated Method for Stochastic Composition Optimization with Nonsmooth Regularization. CoRR abs/1711.03937 (2017) - 2016
- [j39]Dafei Sun, Tiecheng Song, Bin Gu, Xi Li, Jing Hu, Miao Liu:
Spectrum Sensing and the Utilization of Spectrum Opportunity Tradeoff in Cognitive Radio Network. IEEE Commun. Lett. 20(12): 2442-2445 (2016) - [j38]Nan Zhang, Mengfei Yang, Bin Gu, Zhenhua Duan, Cong Tian:
Verifying safety critical task scheduling systems in PPTL axiom system. J. Comb. Optim. 31(2): 577-603 (2016) - [j37]Ting Qi, Bin Gu, Guosheng Ding, Gaolang Gong, Chunming Lu, Danling Peng, Jeff G. Malins, Li Liu:
More bilateral, more anterior: Alterations of brain organization in the large-scale structural network in Chinese dyslexia. NeuroImage 124: 63-74 (2016) - [j36]Baifeng Chen, Bin Gu, Lanhua Zhang, Jih-Sheng Jason Lai:
A Novel Pulse-Width Modulation Method for Reactive Power Generation on a CoolMOS- and SiC-Diode-Based Transformerless Inverter. IEEE Trans. Ind. Electron. 63(3): 1539-1548 (2016) - [c64]Kevin Hong, Bin Gu, Gordon Burtch, Nina Ni Huang, Chen Liang, Kanliang Wang, Dongpu Fu:
Effectiveness of Performance Feedback in Stimulating User-Generated Content. ICIS 2016 - [c63]Chen Liang, Kevin Hong, Bin Gu:
Effects of IT-enabled Monitoring Systems in Online Labor Markets. ICIS 2016 - [i5]Zhouyuan Huo, Bin Gu, Heng Huang:
Decoupled Asynchronous Proximal Stochastic Gradient Descent with Variance Reduction. CoRR abs/1609.06804 (2016) - [i4]Bin Gu, Zhouyuan Huo, Heng Huang:
Asynchronous Doubly Stochastic Proximal Optimization with Variance Reduction. CoRR abs/1610.09447 (2016) - [i3]Bin Gu, Zhouyuan Huo, Heng Huang:
Zeroth-order Asynchronous Doubly Stochastic Algorithm with Variance Reduction. CoRR abs/1612.01425 (2016) - [i2]Bin Gu, Zhouyuan Huo, Heng Huang:
Inexact Proximal Gradient Methods for Non-convex and Non-smooth Optimization. CoRR abs/1612.06003 (2016) - 2015
- [j35]Zheng Fang, Bin Gu, Xueming Luo, Yunjie Xu:
Contemporaneous and Delayed Sales Impact of Location-Based Mobile Promotions. Inf. Syst. Res. 26(3): 552-564 (2015) - [j34]Indika Dissanayake, Jie Zhang, Bin Gu:
Task Division for Team Success in Crowdsourcing Contests: Resource Allocation and Alignment Effects. J. Manag. Inf. Syst. 32(2): 8-39 (2015) - [j33]Bin Gu, Victor S. Sheng, Zhijie Wang, Derek Ho, Said Osman, Shuo Li:
Incremental learning for ν-Support Vector Regression. Neural Networks 67: 140-150 (2015) - [j32]Bin Gu, Victor S. Sheng, KengYeow Tay, Walter Romano, Shuo Li:
Incremental Support Vector Learning for Ordinal Regression. IEEE Trans. Neural Networks Learn. Syst. 26(7): 1403-1416 (2015) - [c62]Reza Mousavi, Bin Gu:
The Impact of Twitter Adoption on Decision Making in Politics. HICSS 2015: 4854-4863 - [c61]Indika Dissanayake, Jie Zhang, Bin Gu:
Virtual Team Performance in Crowdsourcing Contest: A Social Network Perspective. HICSS 2015: 4894-4897 - [c60]Bin Gu, Charles X. Ling:
A New Generalized Error Path Algorithm for Model Selection. ICML 2015: 2549-2558 - [c59]Bin Gu, Victor S. Sheng, Shuo Li:
Bi-Parameter Space Partition for Cost-Sensitive SVM. IJCAI 2015: 3532-3539 - [c58]Xiang Li, Huaimin Wang, Bin Gu, Charles X. Ling:
Data Sparseness in Linear SVM. IJCAI 2015: 3628-3634 - [c57]Yufeng Ke, Peiyuan Wang, Yuqian Chen, Bin Gu, Hongzhi Qi,