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ORCIDKai Fan 0002
Person information
- affiliation: Alibaba DAMO Academy, Machine Intelligence Technology Lab, Hangzhou, China
- affiliation: Alibaba Group Inc., Sunnyvale, CA, USA
- affiliation (former): Duke University, Compuational Biology and Bioinformatics, Durham, NC, USA
Other persons with the same name
- Kai Fan — disambiguation page
- Kai Fan 0001
![[0000-0001-6870-6657]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-6870-6657")
— Xidian University, State Key Laboratory of Integrated Service Networks, Xi'an, China (and 1 more) - Kai Fan 0003 — Northwest A&F University, College of Natural Resources and Environment, Xianyang, China
- Kai Fan 0004 — Taiyuan University of Science and Technology, Engineering Research Center of Heavy Machinery Ministry of Education, Taiyuan, China
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Books and Theses
- 2017
[b1]Kai Fan:
Deep Generative Models and Biological Applications. Duke University, Durham, NC, USA, 2017
Journal Articles
- 2023
- [j1]Lei Li, Kai Fan, Chun Yuan:
StrokeNet: Stroke Assisted and Hierarchical Graph Reasoning Networks. IEEE Trans. Multim. 25: 5614-5625 (2023)
Conference and Workshop Papers
- 2023
- [c30]Linlin Zhang, Kai Fan, Boxing Chen, Luo Si:
A Simple Concatenation can Effectively Improve Speech Translation. ACL (2) 2023: 1793-1802 - [c29]Chengxi Li, Kai Fan, Jiajun Bu, Boxing Chen, Zhongqiang Huang, Zhi Yu:
Translate the Beauty in Songs: Jointly Learning to Align Melody and Translate Lyrics. EMNLP (Findings) 2023: 27-39 - [c28]Jichen Yang, Kai Fan, Minpeng Liao, Boxing Chen, Zhongqiang Huang:
Towards Zero-shot Learning for End-to-end Cross-modal Translation Models. EMNLP (Findings) 2023: 13078-13087 - [c27]Biao Fu, Minpeng Liao, Kai Fan, Zhongqiang Huang, Boxing Chen, Yidong Chen, Xiaodong Shi:
Adapting Offline Speech Translation Models for Streaming with Future-Aware Distillation and Inference. EMNLP 2023: 16600-16619 - 2022
- [c26]Dexin Wang, Kai Fan, Boxing Chen, Deyi Xiong:
Efficient Cluster-Based k-Nearest-Neighbor Machine Translation. ACL (1) 2022: 2175-2187 - [c25]Lei Li, Kai Fan, Hongjia Li, Chun Yuan:
Structural Supervision for Word Alignment and Machine Translation. ACL (Findings) 2022: 4084-4094 - [c24]Pei Zhang, Baosong Yang, Haoran Wei, Dayiheng Liu, Kai Fan, Luo Si, Jun Xie:
Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality? EMNLP 2022: 4959-4970 - [c23]Lei Li, Kai Fan, Chun Yuan:
Cross-modal Representation Learning and Relation Reasoning for Bidirectional Adaptive Manipulation. IJCAI 2022: 3222-3228 - [c22]Yu Bai, Heyan Huang, Kai Fan, Yang Gao, Yiming Zhu, Jiaao Zhan, Zewen Chi, Boxing Chen:
Unifying Cross-lingual Summarization and Machine Translation with Compression Rate. SIGIR 2022: 1087-1097 - 2021
- [c21]Guandan Chen, Kai Fan, Kaibo Zhang, Boxing Chen, Zhongqiang Huang:
Manifold Adversarial Augmentation for Neural Machine Translation. ACL/IJCNLP (Findings) 2021: 3184-3189 - [c20]Lei Li, Chun Yuan, Kai Fan:
Explore Hierarchical Relations Reasoning and Global Information Aggregation. ICDAR (1) 2021: 366-381 - 2020
- [c19]Pei Zhang, Boxing Chen, Niyu Ge, Kai Fan:
Long-Short Term Masking Transformer: A Simple but Effective Baseline for Document-level Neural Machine Translation. EMNLP (1) 2020: 1081-1087 - [c18]Ke Wang, Jiayi Wang, Niyu Ge, Yangbin Shi, Yu Zhao, Kai Fan:
Computer Assisted Translation with Neural Quality Estimation and Auotmatic Post-Editing. EMNLP (Findings) 2020: 2175-2186 - [c17]Kai Fan, Bo Li, Jiayi Wang, Shiliang Zhang, Boxing Chen, Niyu Ge, Zhijie Yan:
Neural Zero-Inflated Quality Estimation Model for Automatic Speech Recognition System. INTERSPEECH 2020: 606-610 - 2019
- [c16]Kai Fan, Jiayi Wang, Bo Li, Fengming Zhou, Boxing Chen, Luo Si:
"Bilingual Expert" Can Find Translation Errors. AAAI 2019: 6367-6374 - [c15]Shanchan Wu, Kai Fan, Qiong Zhang:
Improving Distantly Supervised Relation Extraction with Neural Noise Converter and Conditional Optimal Selector. AAAI 2019: 7273-7280 - [c14]Pei Zhang, Niyu Ge, Boxing Chen, Kai Fan:
Lattice Transformer for Speech Translation. ACL (1) 2019: 6475-6484 - [c13]Yuanhang Su, Kai Fan, Nguyen Bach, C.-C. Jay Kuo, Fei Huang:
Unsupervised Multi-Modal Neural Machine Translation. CVPR 2019: 10482-10491 - [c12]Qi Wei, Kai Fan, Wenlin Wang, Tianhang Zheng, Amit Chakraborty, Katherine A. Heller, Changyou Chen, Kui Ren:
InverseNet: Solving Inverse Problems of Multimedia Data with Splitting Networks. ICME 2019: 1324-1329 - 2018
- [c11]Wenlin Wang, Yunchen Pu, Vinay Kumar Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin:
Zero-Shot Learning via Class-Conditioned Deep Generative Models. AAAI 2018: 4211-4218 - [c10]Nguyen Bach, Hongjie Chen, Kai Fan, Cheung-Chi Leung, Bo Li, Chongjia Ni, Rong Tong, Pei Zhang, Boxing Chen, Bin Ma, Fei Huang:
Alibaba Speech Translation Systems for IWSLT 2018. IWSLT 2018: 136-141 - [c9]Jiayi Wang, Kai Fan, Bo Li, Fengming Zhou, Boxing Chen, Yangbin Shi, Luo Si:
Alibaba Submission for WMT18 Quality Estimation Task. WMT (shared task) 2018: 809-815 - 2017
- [c8]Yizhe Zhang, Zhe Gan, Kai Fan, Zhi Chen, Ricardo Henao, Dinghan Shen, Lawrence Carin:
Adversarial Feature Matching for Text Generation. ICML 2017: 4006-4015 - [c7]Kai Fan, Qi Wei, Lawrence Carin, Katherine A. Heller:
An inner-loop free solution to inverse problems using deep neural networks. NIPS 2017: 2370-2380 - 2016
- [c6]Chunyuan Li, Changyou Chen, Kai Fan, Lawrence Carin:
High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models. AAAI 2016: 1795-1801 - [c5]Kai Fan, Chunyuan Li, Katherine A. Heller:
A Unifying Variational Inference Framework for Hierarchical Graph-Coupled HMM with an Application to Influenza Infection. AAAI 2016: 3828-3834 - [c4]Kai Fan, Yizhe Zhang, Ricardo Henao, Katherine A. Heller:
Triply Stochastic Variational Inference for Non-linear Beta Process Factor Analysis. ICDM 2016: 121-130 - [c3]Yizhe Zhang, Xiangyu Wang, Changyou Chen, Ricardo Henao, Kai Fan, Lawrence Carin:
Towards Unifying Hamiltonian Monte Carlo and Slice Sampling. NIPS 2016: 1741-1749 - 2015
- [c2]Kai Fan, Marisa C. Eisenberg, Alison Walsh, Allison Aiello, Katherine A. Heller:
Hierarchical Graph-Coupled HMMs for Heterogeneous Personalized Health Data. KDD 2015: 239-248 - [c1]Kai Fan, Ziteng Wang, Jeffrey M. Beck, James T. Kwok, Katherine A. Heller:
Fast Second Order Stochastic Backpropagation for Variational Inference. NIPS 2015: 1387-1395
Informal and Other Publications
- 2024
- [i24]Minpeng Liao, Wei Luo, Chengxi Li, Jing Wu, Kai Fan:
MARIO: MAth Reasoning with code Interpreter Output - A Reproducible Pipeline. CoRR abs/2401.08190 (2024) - [i23]Guoxin Chen, Minpeng Liao, Chengxi Li, Kai Fan:
AlphaMath Almost Zero: process Supervision without process. CoRR abs/2405.03553 (2024) - [i22]Guoxin Chen, Minpeng Liao, Chengxi Li, Kai Fan:
Step-level Value Preference Optimization for Mathematical Reasoning. CoRR abs/2406.10858 (2024) - [i21]Zhipeng Qian, Pei Zhang, Baosong Yang, Kai Fan, Yiwei Ma, Derek F. Wong, Xiaoshuai Sun, Rongrong Ji:
AnyTrans: Translate AnyText in the Image with Large Scale Models. CoRR abs/2406.11432 (2024) - 2023
- [i20]Biao Fu, Kai Fan, Minpeng Liao, Zhongqiang Huang, Boxing Chen, Yidong Chen, Xiaodong Shi:
Adapting Offline Speech Translation Models for Streaming with Future-Aware Distillation and Inference. CoRR abs/2303.07914 (2023) - [i19]Chengxi Li, Kai Fan, Jiajun Bu, Boxing Chen, Zhongqiang Huang, Zhi Yu:
Translate the Beauty in Songs: Jointly Learning to Align Melody and Translate Lyrics. CoRR abs/2303.15705 (2023) - [i18]Lei Li, Kai Fan, Lingyu Yang, Hongjia Li, Chun Yuan:
Neural Machine Translation with Dynamic Graph Convolutional Decoder. CoRR abs/2305.17698 (2023) - 2022
- [i17]Dexin Wang, Kai Fan, Boxing Chen, Deyi Xiong:
Efficient Cluster-Based k-Nearest-Neighbor Machine Translation. CoRR abs/2204.06175 (2022) - [i16]Pei Zhang, Baosong Yang, Haoran Wei, Dayiheng Liu, Kai Fan, Luo Si, Jun Xie:
Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality? CoRR abs/2211.13865 (2022) - 2021
- [i15]Yu Bai, Heyan Huang, Kai Fan, Yang Gao, Zewen Chi, Boxing Chen:
Bridging the Gap: Cross-Lingual Summarization with Compression Rate. CoRR abs/2110.07936 (2021) - [i14]Lei Li, Kai Fan, Chun Yuan:
StrokeNet: Stroke Assisted and Hierarchical Graph Reasoning Networks. CoRR abs/2111.11718 (2021) - 2020
- [i13]Shanchan Wu, Kai Fan:
A Practical Framework for Relation Extraction with Noisy Labels Based on Doubly Transitional Loss. CoRR abs/2004.13786 (2020) - [i12]Jiayi Wang, Ke Wang, Niyu Ge, Yangbing Shi, Yu Zhao, Kai Fan:
Computer Assisted Translation with Neural Quality Estimation and Automatic Post-Editing. CoRR abs/2009.09126 (2020) - [i11]Pei Zhang, Boxing Chen, Niyu Ge, Kai Fan:
Long-Short Term Masking Transformer: A Simple but Effective Baseline for Document-level Neural Machine Translation. CoRR abs/2009.09127 (2020) - 2019
- [i10]Pei Zhang, Boxing Chen, Niyu Ge, Kai Fan:
Lattice Transformer for Speech Translation. CoRR abs/1906.05551 (2019) - [i9]Kai Fan, Jiayi Wang, Bo Li, Boxing Chen, Niyu Ge:
Neural Zero-Inflated Quality Estimation Model For Automatic Speech Recognition System. CoRR abs/1910.01289 (2019) - 2018
- [i8]Kai Fan, Bo Li, Fengming Zhou, Jiayi Wang:
"Bilingual Expert" Can Find Translation Errors. CoRR abs/1807.09433 (2018) - [i7]Shanchan Wu, Kai Fan, Qiong Zhang:
Improving Distantly Supervised Relation Extraction with Neural Noise Converter and Conditional Optimal Selector. CoRR abs/1811.05616 (2018) - [i6]Yuanhang Su, Kai Fan, Nguyen Bach, C.-C. Jay Kuo, Fei Huang:
Unsupervised Multi-modal Neural Machine Translation. CoRR abs/1811.11365 (2018) - 2017
- [i5]Yizhe Zhang, Zhe Gan, Kai Fan, Zhi Chen, Ricardo Henao, Dinghan Shen, Lawrence Carin:
Adversarial Feature Matching for Text Generation. CoRR abs/1706.03850 (2017) - [i4]Qi Wei, Kai Fan, Lawrence Carin, Katherine A. Heller:
An inner-loop free solution to inverse problems using deep neural networks. CoRR abs/1709.01841 (2017) - [i3]Wenlin Wang, Yunchen Pu, Vinay Kumar Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin:
Zero-Shot Learning via Class-Conditioned Deep Generative Models. CoRR abs/1711.05820 (2017) - [i2]Kai Fan, Qi Wei, Wenlin Wang, Amit Chakraborty, Katherine A. Heller:
InverseNet: Solving Inverse Problems with Splitting Networks. CoRR abs/1712.00202 (2017) - 2016
- [i1]Fangjian Guo, Xiangyu Wang, Kai Fan, Tamara Broderick, David B. Dunson:
Boosting Variational Inference. CoRR abs/1611.05559 (2016)
Coauthor Index
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