Ke Bai

ORCID

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 36

Top Venues

CoRR

AISTATS

J. Sensors

Biomed. Signal Process. Control.

Arizona State University, Tempe, USA (PHD)

Education History

Arizona State University, Tempe, USA

PHD

Publications

Ke Bai, Guoyin Wang, Jiwei Li, Sunghyun Park, Sungjin Lee, Puyang Xu, Ricardo Henao, Lawrence Carin
Open World Classification with Adaptive Negative Samples. CoRR (2023)
Yu-Ting Li, Ke Bai, Gan-Ze Li, Bo Hu, Jia-Wei Chen, Yu-Xuan Shang, Ying Yu, Zhu-Hong Chen, Chi Zhang, Lin-Feng Yan, Guang-Bin Cui, Lian-Jun Lu, Wen Wang
Functional to structural plasticity in unilateral sudden sensorineural hearing loss: neuroimaging evidence. NeuroImage 283 (2023)
Ke Bai, Pengyu Cheng, Weituo Hao, Ricardo Henao, Larry Carin
Estimating Total Correlation with Mutual Information Estimators. AISTATS (2023)
Hua Jiang, Ke Bai, Hai-Jiao Liu, Chu-Min Li, Felip Manyà, Zhang-Hua Fu
Parallel Bounded Search for the Maximum Clique Problem. J. Comput. Sci. Technol. 38 (5) (2023)
Ke Bai, Aonan Zhang, Zhizhong Li, Ricardo Henao, Chong Wang, Lawrence Carin
Collaborative Anomaly Detection. CoRR (2022)
Zhendong Liu, Xi Chen, Dongyan Li, Xinrong Lv, Mengying Qin, Ke Bai, Zhiqiang He, Yurong Yang, Xiaofeng Li, Qionghai Dai
Predicting algorithm of attC site based on combination optimization strategy. Connect. Sci. 34 (1) (2022)
Ke Bai, Guoyin Wang, Jiwei Li, Sunghyun Park, Sungjin Lee, Puyang Xu, Ricardo Henao, Lawrence Carin
Open World Classification with Adaptive Negative Samples. EMNLP (2022)
Siyang Yuan, Yitong Li, Dong Wang, Ke Bai, Lawrence Carin, David E. Carlson
Learning to Weight Filter Groups for Robust Classification. WACV (2022)
Yang Li, Ke Bai, Hao Wang, Simeng Chen, Xuejun Liu, Haopeng Xu
Research on improved FAWT signal denoising method in evaluation of firefighter training efficacy based on sEMG. Biomed. Signal Process. Control. 72 (Part) (2022)
Yang Li, Simeng Chen, Ke Bai, Hao Wang
Path planning of patrol robot based on improved discrete electrostatic discharge algorithm. J. Intell. Fuzzy Syst. 42 (6) (2022)
Ke Bai, Zhendong Liu, Xinrong Lv, Dongyan Li, Xi Chen, Xiaofeng Li, Junxue Zhou
Pathogenicity predicting algorithm of single amino acid variants. CIS (2022)
Wentao Shi, Dong Chen, Lin Zhou, Ke Bai, Yong Jin
Sensor Selection Scheme considering Uncertainty Disturbance. J. Sensors 2022 (2022)
Ke Bai, Zhibin Luo, Dongdong Zou, Wei Wang, Qi Sui, Xianfeng Tang, Fan Li, Zhaohui Li
Quantization Noise Suppression with Noise-shaping Technique in DMT-modulated IM/DD Optical Interconnects utilizing Low-resolution DAC. OFC (2021)
Ke Bai
Impact of Big Data on Nursing Work and Application Prospects. ATCI (1) (2021)
Qian Wei, Ke Bai, Lin Zhou, Zhentao Hu, Yong Jin, Junwei Li
A Cluster-Based Energy Optimization Algorithm in Wireless Sensor Networks with Mobile Sink. Sensors 21 (7) (2021)
Junya Chen, Danni Lu, Zidi Xiu, Ke Bai, Lawrence Carin, Chenyang Tao
Variational Inference with Holder Bounds. CoRR (2021)
Yong Jin, Lin Zhou, Qian Wei, Ke Bai, Wang Chen, Jifang Li
Tree-Based Multihop Routing Method for Energy Efficiency of Wireless Sensor Networks. J. Sensors 2021 (2021)
Ruiyi Zhang, Changyou Chen, Xinyuan Zhang, Ke Bai, Lawrence Carin
Semantic Matching via Optimal Partial Transport. EMNLP (Findings) (2020)
Inkit Padhi, Pierre L. Dognin, Ke Bai, Cícero Nogueira dos Santos, Vijil Chenthamarakshan, Youssef Mroueh, Payel Das
Learning Implicit Text Generation via Feature Matching. CoRR (2020)
Xiangyang Ren, Jie Wang, Tianlei Ma, Caitong Yue, Ke Bai
Adaptive Background Suppression Method Based on Intelligent Optimization for IR Small Target Detection Under Complex Cloud Backgrounds. IEEE Access 8 (2020)
Xingxing Zou, Zhizhong Li, Ke Bai, Dahua Lin, Waikeung Wong
Regularizing Reasons for Outfit Evaluation with Gradient Penalty. CoRR (2020)
Inkit Padhi, Pierre L. Dognin, Ke Bai, Cícero Nogueira dos Santos, Vijil Chenthamarakshan, Youssef Mroueh, Payel Das
Learning Implicit Text Generation via Feature Matching. ACL (2020)
Liqun Chen, Ke Bai, Chenyang Tao, Yizhe Zhang, Guoyin Wang, Wenlin Wang, Ricardo Henao, Lawrence Carin
Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning. AAAI (2020)
Siyang Yuan, Ke Bai, Liqun Chen, Yizhe Zhang, Chenyang Tao, Chunyuan Li, Guoyin Wang, Ricardo Henao, Lawrence Carin
Advancing weakly supervised cross-domain alignment with optimal transport. BMVC (2020)
Siyang Yuan, Ke Bai, Liqun Chen, Yizhe Zhang, Chenyang Tao, Chunyuan Li, Guoyin Wang, Ricardo Henao, Lawrence Carin
Weakly supervised cross-domain alignment with optimal transport. CoRR (2020)
Chenyang Tao, Shuyang Dai, Liqun Chen, Ke Bai, Junya Chen, Chang Liu, Ruiyi Zhang, Georgiy V. Bobashev, Lawrence Carin
Variational Annealing of GANs: A Langevin Perspective. ICML (2019)
Yulai Cong, Miaoyun Zhao, Ke Bai, Lawrence Carin
GO Gradient for Expectation-Based Objectives. ICLR (Poster) (2019)
Chunyuan Li, Ke Bai, Jianqiao Li, Guoyin Wang, Changyou Chen, Lawrence Carin
Adversarial Learning of a Sampler Based on an Unnormalized Distribution. AISTATS (2019)
Yulai Cong, Miaoyun Zhao, Ke Bai, Lawrence Carin
GO Gradient for Expectation-Based Objectives. CoRR (2019)
Chenyang Tao, Liqun Chen, Shuyang Dai, Junya Chen, Ke Bai, Dong Wang, Jianfeng Feng, Wenlian Lu, Georgiy V. Bobashev, Lawrence Carin
On Fenchel Mini-Max Learning. NeurIPS (2019)
Jie Wang, Chaohao Zhao, Jing Liang, Caitong Yue, Xiangyang Ren, Ke Bai
Chromosome Medial Axis Extraction Method Based on Graphic Geometry and Competitive Extreme Learning Machines Teams (CELMT) Classifier for Chromosome Classification. BIC-TA (2) (2019)
Chunyuan Li, Ke Bai, Jianqiao Li, Guoyin Wang, Changyou Chen, Lawrence Carin
Adversarial Learning of a Sampler Based on an Unnormalized Distribution. CoRR (2019)
Mingtao Ge, Jie Wang, Yicun Xu, Fangfang Zhang, Ke Bai, Xiangyang Ren
Rolling Bearing Fault Diagnosis Based on EWT Sub-Modal Hypothesis Test and Ambiguity Correlation Classification. Symmetry 10 (12) (2018)
Mingtao Ge, Jie Wang, Fangfang Zhang, Ke Bai, Xiangyang Ren
A Novel Fault Diagnosis Method of Rolling Bearings Based on AFEWT-KDEMI. Entropy 20 (6) (2018)
Ke Bai, Fangzhou Liao, Xiaolin Hu
Reservoir Computing with a Small-World Network for Discriminating Two Sequential Stimuli. ISNN (1) (2017)
Jing Lu, Ke Bai, Aviral Shrivastava
Efficient Code Assignment Techniques for Local Memory on Software Managed Multicores. ACM Trans. Embed. Comput. Syst. 14 (4) (2015)
Bryce Holton, Ke Bai, Aviral Shrivastava, Harini Ramaprasad
Construction of GCCFG for inter-procedural optimizations in Software Managed Manycore (SMM) architectures. CASES (2014)
Jing Lu, Ke Bai, Aviral Shrivastava
SSDM: smart stack data management for software managed multicores (SMMs). DAC (2013)
Ke Bai, Jing Lu, Aviral Shrivastava, Bryce Holton
CMSM: An efficient and effective Code Management for Software Managed Multicores. CODES+ISSS (2013)
Ke Bai, Aviral Shrivastava
A software-only scheme for managing heap data on limited local memory(LLM) multicore processors. ACM Trans. Embed. Comput. Syst. 13 (1) (2013)
Ke Bai, Aviral Shrivastava
Automatic and efficient heap data management for limited local memory multicore architectures. DATE (2013)
Ke Bai, Aviral Shrivastava, Saleel Kudchadker
Stack data management for Limited Local Memory (LLM) multi-core processors. ASAP (2011)
Ke Bai, Di Lu, Aviral Shrivastava
Vector class on limited local memory (LLM) multi-core processors. CASES (2011)
Ke Bai, Aviral Shrivastava
Heap data management for limited local memory (LLM) multi-core processors. CODES+ISSS (2010)
Seung Chul Jung, Aviral Shrivastava, Ke Bai
Dynamic code mapping for limited local memory systems. ASAP (2010)

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Publication Activity (10 Years)

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Ke Bai