Jinbo Bi

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 89

Top Venues

Publications

Binghao Lu, Caiwen Ding, Jinbo Bi, Dongjin Song
Weakly Supervised Change Detection via Knowledge Distillation and Multiscale Sigmoid Inference. CoRR (2024)
Hossein Hamidi Shishavan, Ethan Gossett, Jinbo Bi, Robert Henning, Martin Cherniack, Insoo Kim
Unsupervised Bayesian change point detection model to track acute stress responses. Biomed. Signal Process. Control. 95 (2024)
Soumyashree Sahoo, Chinmaey Shende, Md Zakir Hossain, Parit Patel, Xinyu Wang, Md Ishtyaq Mahmud, Jinbo Bi, Jayesh Kamath, Alexander Russell, Dongjin Song, Bing Wang
Using Mobile Daily Mood and Anxiety Self-ratings to Predict Depression Symptom Improvement. CHASE (2024)
Jieren Deng, Hanbin Hong, Aaron Palmer, Xin Zhou, Jinbo Bi, Kaleel Mahmood, Yuan Hong, Derek Aguiar
Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness. CoRR (2024)
Fei Dou, Jin Lu, Tan Zhu, Jinbo Bi
On-Device Indoor Positioning: A Federated Reinforcement Learning Approach With Heterogeneous Devices. IEEE Internet Things J. 11 (3) (2024)
Jieren Deng, Aaron Palmer, Rigel Mahmood, Ethan Rathbun, Jinbo Bi, Kaleel Mahmood, Derek Aguiar
Distilling Adversarial Robustness Using Heterogeneous Teachers. CoRR (2024)
Qinqing Liu, Fei Dou, Meijian Yang, Ezana Amdework, Guiling Wang, Jinbo Bi
Customized Positional Encoding to Combine Static and Time-varying Data in Robust Representation Learning for Crop Yield Prediction. IJCAI (2023)
Aaron Palmer, Zhiyi Chi, Derek Aguiar, Jinbo Bi
Auto-Encoding Goodness of Fit. ICLR (2023)
Chinmaey Shende, Soumyashree Sahoo, Stephen Sam, Parit Patel, Reynaldo Morillo, Xinyu Wang, Shweta Ware, Jinbo Bi, Jayesh Kamath, Alexander Russell, Dongjin Song, Bing Wang
Predicting Symptom Improvement During Depression Treatment Using Sleep Sensory Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7 (3) (2023)
Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi
Stochastic privacy-preserving methods for nonconvex sparse learning. Inf. Sci. 630 (2023)
Blake B. Gaines, Minghu Song, Jinbo Bi
Mining Large-Scale Knowledge Graphs for Chemical Reaction Fingerprints. BigData (2023)
Tan Zhu, Fei Dou, Xinyu Wang, Jin Lu, Jinbo Bi
Polyhedron Attention Module: Learning Adaptive-order Interactions. NeurIPS (2023)
Marjan Hosseini, Aaron Palmer, William Manka, Patrick G. S. Grady, Venkata Patchigolla, Jinbo Bi, Rachel J. O'Neill, Zhiyi Chi, Derek Aguiar
Deep statistical modelling of nanopore sequencing translocation times reveals latent non-B DNA structures. Bioinform. 39 (Supplement-1) (2023)
Guoqing Chao, Xingquan Zhu, Weiping Ding, Jinbo Bi, Shiliang Sun
Editorial: Special Issue on Transfer Learning. Neural Process. Lett. 55 (3) (2023)
Hongwu Peng, Shaoyi Huang, Shiyang Chen, Bingbing Li, Tong Geng, Ang Li, Weiwen Jiang, Wujie Wen, Jinbo Bi, Hang Liu, Caiwen Ding
A length adaptive algorithm-hardware co-design of transformer on FPGA through sparse attention and dynamic pipelining. DAC (2022)
Qianqian Tong, Guannan Liang, Jiahao Ding, Tan Zhu, Miao Pan, Jinbo Bi
Federated Optimization of ℓ0-norm Regularized Sparse Learning. Algorithms 15 (9) (2022)
Guoqing Chao, Xingquan Zhu, Weiping Ding, Jinbo Bi, Shiliang Sun
Editorial: special issue on multi-view learning. Appl. Intell. 52 (13) (2022)
Qianqian Tong, Guannan Liang, Jinbo Bi
Calibrating the adaptive learning rate to improve convergence of ADAM. Neurocomputing 481 (2022)
Aaron Palmer, Zhiyi Chi, Derek Aguiar, Jinbo Bi
Auto-Encoding Goodness of Fit. CoRR (2022)
Chandan Chunduru, Chun Jiang Zhu, Blake Gains, Jinbo Bi
Heterogeneous Graph Sparsification for Efficient Representation Learning. CoRR (2022)
Chandan Chunduru, Chun Jiang Zhu, Blake Gains, Jinbo Bi
Heterogeneous Graph Sparsification for Efficient Representation Learning. BIBM (2022)
Hongwu Peng, Shaoyi Huang, Shiyang Chen, Bingbing Li, Tong Geng, Ang Li, Weiwen Jiang, Wujie Wen, Jinbo Bi, Hang Liu, Caiwen Ding
A Length Adaptive Algorithm-Hardware Co-design of Transformer on FPGA Through Sparse Attention and Dynamic Pipelining. CoRR (2022)
Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran
Against Membership Inference Attack: Pruning is All You Need. IJCAI (2021)
Qianqian Tong, Guannan Liang, Xingyu Cai, Chunjiang Zhu, Jinbo Bi
Asynchronous parallel stochastic Quasi-Newton methods. Parallel Comput. 101 (2021)
Chaoqun Yue, Shweta Ware, Reynaldo Morillo, Jin Lu, Chao Shang, Jinbo Bi, Jayesh Kamath, Alexander Russell, Athanasios Bamis, Bing Wang
Fusing Location Data for Depression Prediction. IEEE Trans. Big Data 7 (2) (2021)
Chao Shang, Jie Chen, Jinbo Bi
Discrete Graph Structure Learning for Forecasting Multiple Time Series. ICLR (2021)
Tan Zhu, Guannan Liang, Chunjiang Zhu, Haining Li, Jinbo Bi
An Efficient Algorithm for Deep Stochastic Contextual Bandits. AAAI (2021)
Chun Jiang Zhu, Qinqing Liu, Jinbo Bi
Communication Efficient Distributed Hypergraph Clustering. SIGIR (2021)
Guannan Liang, Qianqian Tong, Chunjiang Zhu, Jinbo Bi
Escaping Saddle Points with Stochastically Controlled Stochastic Gradient Methods. CoRR (2021)
Tan Zhu, Guannan Liang, Chunjiang Zhu, Haining Li, Jinbo Bi
An Efficient Algorithm for Deep Stochastic Contextual Bandits. CoRR (2021)
Hongwu Peng, Shiyang Chen, Zhepeng Wang, Junhuan Yang, Scott A. Weitze, Tong Geng, Ang Li, Jinbo Bi, Minghu Song, Weiwen Jiang, Hang Liu, Caiwen Ding
Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search (Special Session Paper). ICCAD (2021)
Jiahao Ding, Guannan Liang, Jinbo Bi, Miao Pan
Differentially Private and Communication Efficient Collaborative Learning. AAAI (2021)
Hongwu Peng, Shiyang Chen, Zhepeng Wang, Junhuan Yang, Scott A. Weitze, Tong Geng, Ang Li, Jinbo Bi, Minghu Song, Weiwen Jiang, Hang Liu, Caiwen Ding
Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search. CoRR (2021)
Chao Shang, Qinqing Liu, Qianqian Tong, Jiangwen Sun, Minghu Song, Jinbo Bi
Multi-view spectral graph convolution with consistent edge attention for molecular modeling. Neurocomputing 445 (2021)
Qianqian Tong, Guannan Liang, Tan Zhu, Jinbo Bi
Federated Nonconvex Sparse Learning. CoRR (2021)
Chunjiang Zhu, Qinqing Liu, Jinbo Bi
Spectral vertex sparsifiers and pair-wise spanners over distributed graphs. ICML (2021)
Fei Dou, Jin Lu, Tingyang Xu, Chun-Hsi Huang, Jinbo Bi
A Bisection Reinforcement Learning Approach to 3-D Indoor Localization. IEEE Internet Things J. 8 (8) (2021)
Guoqing Chao, Shiliang Sun, Jinbo Bi
A Survey on Multiview Clustering. IEEE Trans. Artif. Intell. 2 (2) (2021)
Chao Shang, Jie Chen, Jinbo Bi
Discrete Graph Structure Learning for Forecasting Multiple Time Series. CoRR (2021)
Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi
Effective Proximal Methods for Non-convex Non-smooth Regularized Learning. ICDM (2020)
Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran
MCMIA: Model Compression Against Membership Inference Attack in Deep Neural Networks. CoRR (2020)
Dina Abdelhafiz, Jinbo Bi, Reda Ammar, Clifford Yang, Sheida Nabavi
Convolutional neural network for automated mass segmentation in mammography. BMC Bioinform. (1) (2020)
Guannan Liang, Qianqian Tong, Chun Jiang Zhu, Jinbo Bi
An Effective Hard Thresholding Method Based on Stochastic Variance Reduction for Nonconvex Sparse Learning. AAAI (2020)
Soumitra Pal, Tingyang Xu, Tianbao Yang, Sanguthevar Rajasekaran, Jinbo Bi
Hybrid-DCA: A double asynchronous approach for stochastic dual coordinate ascent. J. Parallel Distributed Comput. 143 (2020)
Jiahao Ding, Jingyi Wang, Guannan Liang, Jinbo Bi, Miao Pan
Towards Plausible Differentially Private ADMM Based Distributed Machine Learning. CoRR (2020)
Qianqian Tong, Guannan Liang, Jinbo Bi
Effective Federated Adaptive Gradient Methods with Non-IID Decentralized Data. CoRR (2020)
Qianqian Tong, Guannan Liang, Xingyu Cai, Chun Jiang Zhu, Jinbo Bi
Asynchronous Parallel Stochastic Quasi-Newton Methods. CoRR (2020)
Xia Xiao, Chao Shang, Jinbo Bi, Sanguthevar Rajasekaran
Predicting Outcomes of Chemical Reactions: A Seq2Seq Approach with Multi-view Attention and Edge Embedding. IJCNN (2020)
Guannan Liang, Qianqian Tong, Jiahao Ding, Miao Pan, Jinbo Bi
Effective Proximal Methods for Non-convex Non-smooth Regularized Learning. CoRR (2020)
Chun Jiang Zhu, Minghu Song, Qinqing Liu, Chloé Becquey, Jinbo Bi
Benchmark on Indexing Algorithms for Accelerating Molecular Similarity Search. J. Chem. Inf. Model. 60 (12) (2020)
Jiahao Ding, Jingyi Wang, Guannan Liang, Jinbo Bi, Miao Pan
Towards Plausible Differentially Private ADMM Based Distributed Machine Learning. CIKM (2020)
Chun Jiang Zhu, Tan Zhu, Kam-yiu Lam, Song Han, Jinbo Bi
Communication-Optimal Distributed Dynamic Graph Clustering. AAAI (2019)
Dina Abdelhafiz, Sheida Nabavi, Reda Ammar, Clifford Yang, Jinbo Bi
Residual Deep Learning System for Mass Segmentation and Classification in Mammography. BCB (2019)
Chun Jiang Zhu, Kam-yiu Lam, Joseph Kee-Yin Ng, Jinbo Bi
On the VC-dimension of unique round-trip shortest path systems. Inf. Process. Lett. 145 (2019)
Chao Shang, Yun Tang, Jing Huang, Jinbo Bi, Xiaodong He, Bowen Zhou
End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion. AAAI (2019)
Qianqian Tong, Guannan Liang, Jinbo Bi
Calibrating the Learning Rate for Adaptive Gradient Methods to Improve Generalization Performance. CoRR (2019)
Guoqing Chao, Jiangwen Sun, Jin Lu, An-Li Wang, Daniel D. Langleben, Chiang-shan Ray Li, Jinbo Bi
Multi-view cluster analysis with incomplete data to understand treatment effects. Inf. Sci. 494 (2019)
Chun Jiang Zhu, Tan Zhu, Haining Li, Jinbo Bi, Minghu Song
Accelerating Large-Scale Molecular Similarity Search through Exploiting High Performance Computing. BIBM (2019)
Chun Jiang Zhu, Sabine Storandt, Kam-yiu Lam, Song Han, Jinbo Bi
Improved Dynamic Graph Learning through Fault-Tolerant Sparsification. ICML (2019)
Fei Dou, Jin Lu, Zigeng Wang, Xia Xiao, Jinbo Bi, Chun-Hsi Huang
Top-Down Indoor Localization with Wi-Fi Fingerprints Using Deep Q-Network. MASS (2018)
Shweta Ware, Chaoqun Yue, Reynaldo Morillo, Jin Lu, Chao Shang, Jayesh Kamath, Athanasios Bamis, Jinbo Bi, Alexander Russell, Bing Wang
Large-scale Automatic Depression Screening Using Meta-data from WiFi Infrastructure. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2 (4) (2018)
Chun Jiang Zhu, Tan Zhu, Kam-yiu Lam, Song Han, Jinbo Bi
Communication-Optimal Distributed Dynamic Graph Clustering. CoRR (2018)
Chao Shang, Yun Tang, Jing Huang, Jinbo Bi, Xiaodong He, Bowen Zhou
End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion. CoRR (2018)
Ko-Shin Chen, Tingyang Xu, Jinbo Bi
Latent Sparse Modeling of Longitudinal Multi-Dimensional Data. AAAI (2018)
Jin Lu, Chao Shang, Chaoqun Yue, Reynaldo Morillo, Shweta Ware, Jayesh Kamath, Athanasios Bamis, Alexander Russell, Bing Wang, Jinbo Bi
Joint Modeling of Heterogeneous Sensing Data for Depression Assessment via Multi-task Learning. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2 (1) (2018)
Dina Abdelhafiz, Sheida Nabavi, Reda Ammar, Clifford Yang, Jinbo Bi
Convolutional Neural Network for Automated Mass Segmentation in Mammography. ICCABS (2018)
Aaron Palmer, Dipak K. Dey, Jinbo Bi
Reforming Generative Autoencoders via Goodness-of-Fit Hypothesis Testing. UAI (2018)
Ioannis Papavasileiou, Wenlong Zhang, Xin Wang, Jinbo Bi, Li Zhang, Song Han
Classification of Neurological Gait Disorders Using Multi-task Feature Learning. CHASE (2017)
Guoqing Chao, Shiliang Sun, Jinbo Bi
A Survey on Multi-View Clustering. CoRR (2017)
Chaoqun Yue, Shweta Ware, Reynaldo Morillo, Jin Lu, Chao Shang, Jinbo Bi, Jayesh Kamath, Alexander Russell, Athanasios Bamis, Bing Wang
Fusing location data for depression prediction. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2017)
Tingyang Xu, Tan Yan, Dongjin Song, Wei Cheng, Haifeng Chen, Geoff Jiang, Jinbo Bi
Identifying and quantifying nonlinear structured relationships in complex manufactural systems. IEEE BigData (2017)
Xin Wang, Jinbo Bi
Bi-convex Optimization to Learn Classifiers from Multiple Biomedical Annotations. IEEE ACM Trans. Comput. Biol. Bioinform. 14 (3) (2017)
Ioannis Papavasileiou, Savanna Smith, Jinbo Bi, Song Han
Gait-Based Continuous Authentication Using Multimodal Learning. CHASE (2017)
Chao Shang, Aaron Palmer, Jiangwen Sun, Ko-Shin Chen, Jin Lu, Jinbo Bi
VIGAN: Missing View Imputation with Generative Adversarial Networks. CoRR (2017)
Jin Lu, Jiangwen Sun, Xinyu Wang, Henry R. Kranzler, Joel Gelernter, Jinbo Bi
Collaborative phenotype inference from comorbid substance use disorders and genotypes. BIBM (2017)
Chao Shang, Aaron Palmer, Jiangwen Sun, Ko-Shin Chen, Jin Lu, Jinbo Bi
VIGAN: Missing view imputation with generative adversarial networks. IEEE BigData (2017)
Jin Lu, Guannan Liang, Jiangwen Sun, Jinbo Bi
A Sparse Interactive Model for Matrix Completion with Side Information. NIPS (2016)
Asma Ahmad Farhan, Jin Lu, Jinbo Bi, Alexander Russell, Bing Wang, Athanasios Bamis
Multi-view Bi-clustering to Identify Smartphone Sensing Features Indicative of Depression. CHASE (2016)
Asma Ahmad Farhan, Chaoqun Yue, Reynaldo Morillo, Shweta Ware, Jin Lu, Jinbo Bi, Jayesh Kamath, Alexander Russell, Athanasios Bamis, Bing Wang
Behavior vs. introspection: refining prediction of clinical depression via smartphone sensing data. Wireless Health (2016)
Soumitra Pal, Tingyang Xu, Tianbao Yang, Sanguthevar Rajasekaran, Jinbo Bi
Hybrid-DCA: A Double Asynchronous Approach for Stochastic Dual Coordinate Ascent. CoRR (2016)
Xin Wang, Jinbo Bi, Shipeng Yu, Jiangwen Sun, Minghu Song
Multiplicative Multitask Feature Learning. J. Mach. Learn. Res. 17 (2016)
Xin Wang, Jinbo Bi, Shipeng Yu, Jiangwen Sun
On Multiplicative Multitask Feature Learning. CoRR (2016)
Ioannis Papavasileiou, Wenlong Zhang, Song Han, Xin Wang, Jinbo Bi, Nancy Byl, Masayoshi Tomizuka
Classification of Neurological Gait Disorders Using Multi-task Feature Learning. CoRR (2016)
Jiangwen Sun, Zongliang Jiang, Xiuchun Tian, Jinbo Bi
A cross-species bi-clustering approach to identifying conserved co-regulated genes. Bioinform. 32 (12) (2016)
Jinbo Bi, Xin Wang
Learning classifiers from dual annotation ambiguity via a min-max framework. Neurocomputing 151 (2015)
Jiangwen Sun, Jin Lu, Tingyang Xu, Jinbo Bi
Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization. ICML (2015)
Xin Wang, Tulio A. Valdez, Jinbo Bi
Detecting tympanostomy tubes from otoscopic images via offline and online training. Comput. Biol. Medicine 61 (2015)
Tingyang Xu, Jiangwen Sun, Jinbo Bi
Longitudinal LASSO: Jointly Learning Features and Temporal Contingency for Outcome Prediction. KDD (2015)
Tingyang Xu, Jiangwen Sun, Erin E. Connor, Jinbo Bi
Quantifying feed efficiency of dairy cattle for genome-wide association analysis. BIBM (2015)
Jiangwen Sun, Jinbo Bi, Henry R. Kranzler
Multiview Comodeling to Improve Subtyping and Genetic Association of Complex Diseases. IEEE J. Biomed. Health Informatics 18 (2) (2014)
Xin Wang, Jinbo Bi, Shipeng Yu, Jiangwen Sun
On Multiplicative Multitask Feature Learning. NIPS (2014)
Jinbo Bi, Jiangwen Sun, Tingyang Xu, Jin Lu, Yansong Ma, Lijuan Qiu
A sparse integrative cluster analysis for understanding soybean phenotypes. BIBM (2014)
Jiangwen Sun, Jinbo Bi, Henry R. Kranzler
Identifying heritable composite traits from multivariate phenotypes and genome-wide SNPs. BIBM (2014)
Tingyang Xu, Jinbo Bi, Michelle M. Cloutier
Translating Effective Paper-Based Disease Management into Electronic Medical Systems. ICHI (2014)
Jinbo Bi, Jiangwen Sun, Yu Wu, Howard Tennen, Stephen Armeli
A machine learning approach to college drinking prediction and risk factor identification. ACM Trans. Intell. Syst. Technol. 4 (4) (2013)
Subrata Saha, Sanguthevar Rajasekaran, Jinbo Bi, Sudipta Pathak
Efficient techniques for genotype-phenotype correlational analysis. BMC Medical Informatics Decis. Mak. 13 (2013)
Jiangwen Sun, Jinbo Bi, Henry R. Kranzler
Multi-view biclustering for genotype-phenotype association studies of complex diseases. BIBM (2013)
Jiangwen Sun, Jinbo Bi, Henry R. Kranzler
Quadratic optimization to identify highly heritable quantitative traits from complex phenotypic features. KDD (2013)
Jinbo Bi, Arun Abraham
An intelligent web-based decision support tool for enhancing asthma guideline adherence. IHI (2012)
Michael Zuba, Joseph Gilbert, Yu Wu, Jinbo Bi, Howard Tennen, Stephen Armeli
1-norm support vector machine for college drinking risk factor identification. IHI (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jinbo Bi