Ke Bai
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
13
Active years
2011–2023
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | AISTATS | Estimating Total Correlation with Mutual Information Estimators. | Ke Bai, Pengyu Cheng, Weituo Hao, Ricardo Henao, Larry Carin |
| 2023 | EMNLP | OssCSE: Overcoming Surface Structure Bias in Contrastive Learning for Unsupervised Sentence Embedding. | Zhan Shi, Guoyin Wang, Ke Bai, Jiwei Li, Xiang Li, Qingjun Cui, Belinda Zeng, Trishul Chilimbi, Xiaodan Zhu |
| 2022 | CIS | Pathogenicity predicting algorithm of single amino acid variants. | Ke Bai, Zhendong Liu, Xinrong Lv, Dongyan Li, Xi Chen, Xiaofeng Li, Junxue Zhou |
| 2022 | EMNLP | Open World Classification with Adaptive Negative Samples. | Ke Bai, Guoyin Wang, Jiwei Li, Sunghyun Park, Sungjin Lee, Puyang Xu, Ricardo Henao, Lawrence Carin |
| 2022 | WACV | Learning to Weight Filter Groups for Robust Classification. | Siyang Yuan, Yitong Li, Dong Wang, Ke Bai, Lawrence Carin, David E. Carlson |
| 2020 | AAAI | Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning. | Liqun Chen, Ke Bai, Chenyang Tao, Yizhe Zhang, Guoyin Wang, Wenlin Wang, Ricardo Henao, Lawrence Carin |
| 2020 | ACL | Learning Implicit Text Generation via Feature Matching. | Inkit Padhi, Pierre L. Dognin, Ke Bai, Ccero Nogueira dos Santos, Vijil Chenthamarakshan, Youssef Mroueh, Payel Das |
| 2020 | BMVC | Advancing weakly supervised cross-domain alignment with optimal transport. | Siyang Yuan, Ke Bai, Liqun Chen, Yizhe Zhang, Chenyang Tao, Chunyuan Li, Guoyin Wang, Ricardo Henao, Lawrence Carin |
| 2020 | EMNLP | Semantic Matching via Optimal Partial Transport. | Ruiyi Zhang, Changyou Chen, Xinyuan Zhang, Ke Bai, Lawrence Carin |
| 2019 | AISTATS | Adversarial Learning of a Sampler Based on an Unnormalized Distribution. | Chunyuan Li, Ke Bai, Jianqiao Li, Guoyin Wang, Changyou Chen, Lawrence Carin |
| 2019 | ICLR | GO Gradient for Expectation-Based Objectives. | Yulai Cong, Miaoyun Zhao, Ke Bai, Lawrence Carin |
| 2019 | ICML | Variational Annealing of GANs: A Langevin Perspective. | Chenyang Tao, Shuyang Dai, Liqun Chen, Ke Bai, Junya Chen, Chang Liu, Ruiyi Zhang, Georgiy V. Bobashev, Lawrence Carin |
| 2017 | ISNN | Reservoir Computing with a Small-World Network for Discriminating Two Sequential Stimuli. | Ke Bai, Fangzhou Liao, Xiaolin Hu |
| 2014 | CASES | Construction of GCCFG for inter-procedural optimizations in Software Managed Manycore (SMM) architectures. | Bryce Holton, Ke Bai, Aviral Shrivastava, Harini Ramaprasad |
| 2013 | DAC | SSDM: smart stack data management for software managed multicores (SMMs). | Jing Lu, Ke Bai, Aviral Shrivastava |
| 2013 | DATE | Automatic and efficient heap data management for limited local memory multicore architectures. | Ke Bai, Aviral Shrivastava |
| 2011 | CASES | Vector class on limited local memory (LLM) multi-core processors. | Ke Bai, Di Lu, Aviral Shrivastava |