Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Xian Wu

Xian Wu

BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning


May 02, 2021
Lun Wang, Zaynah Javed, Xian Wu, Wenbo Guo, Xinyu Xing, Dawn Song

Figure 1 for BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning
Figure 2 for BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning
Figure 3 for BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning
Figure 4 for BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning

  Access Paper or Ask Questions

Automatic Distractor Generation for Multiple Choice Questions in Standard Tests


Nov 26, 2020
Zhaopeng Qiu, Xian Wu, Wei Fan

Figure 1 for Automatic Distractor Generation for Multiple Choice Questions in Standard Tests
Figure 2 for Automatic Distractor Generation for Multiple Choice Questions in Standard Tests
Figure 3 for Automatic Distractor Generation for Multiple Choice Questions in Standard Tests
Figure 4 for Automatic Distractor Generation for Multiple Choice Questions in Standard Tests
* accepted by COLING2020 
  Access Paper or Ask Questions

Relation-aware Meta-learning for Market Segment Demand Prediction with Limited Records


Aug 01, 2020
Jiatu Shi, Huaxiu Yao, Xian Wu, Tong Li, Zedong Lin, Tengfei Wang, Binqiang Zhao, Zhenhui Li

Figure 1 for Relation-aware Meta-learning for Market Segment Demand Prediction with Limited Records
Figure 2 for Relation-aware Meta-learning for Market Segment Demand Prediction with Limited Records
Figure 3 for Relation-aware Meta-learning for Market Segment Demand Prediction with Limited Records
Figure 4 for Relation-aware Meta-learning for Market Segment Demand Prediction with Limited Records
* First two authors contributed equally 
  Access Paper or Ask Questions

Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms


Jun 16, 2020
Guy Bresler, Prateek Jain, Dheeraj Nagaraj, Praneeth Netrapalli, Xian Wu

Figure 1 for Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms
Figure 2 for Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms
Figure 3 for Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms

  Access Paper or Ask Questions

Jointly Predicting Job Performance, Personality, Cognitive Ability, Affect, and Well-Being


Jun 10, 2020
Pablo Robles-Granda, Suwen Lin, Xian Wu, Sidney D'Mello, Gonzalo J. Martinez, Koustuv Saha, Kari Nies, Gloria Mark, Andrew T. Campbell, Munmun De Choudhury, Anind D. Dey, Julie Gregg, Ted Grover, Stephen M. Mattingly, Shayan Mirjafari, Edward Moskal, Aaron Striegel, Nitesh V. Chawla

Figure 1 for Jointly Predicting Job Performance, Personality, Cognitive Ability, Affect, and Well-Being
Figure 2 for Jointly Predicting Job Performance, Personality, Cognitive Ability, Affect, and Well-Being
Figure 3 for Jointly Predicting Job Performance, Personality, Cognitive Ability, Affect, and Well-Being
Figure 4 for Jointly Predicting Job Performance, Personality, Cognitive Ability, Affect, and Well-Being

  Access Paper or Ask Questions

Representation Learning on Variable Length and Incomplete Wearable-Sensory Time Series


Feb 10, 2020
Xian Wu, Chao Huang, Pablo Roblesgranda, Nitesh Chawla

Figure 1 for Representation Learning on Variable Length and Incomplete Wearable-Sensory Time Series
Figure 2 for Representation Learning on Variable Length and Incomplete Wearable-Sensory Time Series
Figure 3 for Representation Learning on Variable Length and Incomplete Wearable-Sensory Time Series
Figure 4 for Representation Learning on Variable Length and Incomplete Wearable-Sensory Time Series

  Access Paper or Ask Questions

Automated Relational Meta-learning


Jan 03, 2020
Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, Zhenhui Li

Figure 1 for Automated Relational Meta-learning
Figure 2 for Automated Relational Meta-learning
Figure 3 for Automated Relational Meta-learning
Figure 4 for Automated Relational Meta-learning
* Accepted by ICLR 2020 
  Access Paper or Ask Questions

Multi-Grained Named Entity Recognition


Jun 20, 2019
Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip Yu

Figure 1 for Multi-Grained Named Entity Recognition
Figure 2 for Multi-Grained Named Entity Recognition
Figure 3 for Multi-Grained Named Entity Recognition
Figure 4 for Multi-Grained Named Entity Recognition
* In ACL 2019 as a long paper 
  Access Paper or Ask Questions

On the Generation of Medical Question-Answer Pairs


Nov 01, 2018
Sheng Shen, Yaliang Li, Nan Du, Xian Wu, Yusheng Xie, Shen Ge, Tao Yang, Kai Wang, Xingzheng Liang, Wei Fan

Figure 1 for On the Generation of Medical Question-Answer Pairs
Figure 2 for On the Generation of Medical Question-Answer Pairs
Figure 3 for On the Generation of Medical Question-Answer Pairs
Figure 4 for On the Generation of Medical Question-Answer Pairs

  Access Paper or Ask Questions

Learning to Segment Object Candidates via Recursive Neural Networks


Jul 29, 2018
Tianshui Chen, Liang Lin, Xian Wu, Nong Xiao, Xiaonan Luo

Figure 1 for Learning to Segment Object Candidates via Recursive Neural Networks
Figure 2 for Learning to Segment Object Candidates via Recursive Neural Networks
Figure 3 for Learning to Segment Object Candidates via Recursive Neural Networks
Figure 4 for Learning to Segment Object Candidates via Recursive Neural Networks
* Accepted at TIP 
  Access Paper or Ask Questions

Variance Reduced Value Iteration and Faster Algorithms for Solving Markov Decision Processes


Jun 28, 2018
Aaron Sidford, Mengdi Wang, Xian Wu, Yinyu Ye

Figure 1 for Variance Reduced Value Iteration and Faster Algorithms for Solving Markov Decision Processes
Figure 2 for Variance Reduced Value Iteration and Faster Algorithms for Solving Markov Decision Processes

  Access Paper or Ask Questions

Neural Tensor Factorization


Feb 13, 2018
Xian Wu, Baoxu Shi, Yuxiao Dong, Chao Huang, Nitesh Chawla

Figure 1 for Neural Tensor Factorization
Figure 2 for Neural Tensor Factorization
Figure 3 for Neural Tensor Factorization
Figure 4 for Neural Tensor Factorization
* 9 pages. Submitted to KDD 
  Access Paper or Ask Questions

Beyond Volume: The Impact of Complex Healthcare Data on the Machine Learning Pipeline


Jan 26, 2018
Keith Feldman, Louis Faust, Xian Wu, Chao Huang, Nitesh V. Chawla

Figure 1 for Beyond Volume: The Impact of Complex Healthcare Data on the Machine Learning Pipeline
* Towards Integrative Machine Learning and Knowledge Extraction, LNCS vol 10344 (2017) 150-169 
 * Healthcare Informatics, Machine Learning, Knowledge Discovery: 20 Pages, 1 Figure 
  Access Paper or Ask Questions

Content-Adaptive Sketch Portrait Generation by Decompositional Representation Learning


Oct 04, 2017
Dongyu Zhang, Liang Lin, Tianshui Chen, Xian Wu, Wenwei Tan, Ebroul Izquierdo

Figure 1 for Content-Adaptive Sketch Portrait Generation by Decompositional Representation Learning
Figure 2 for Content-Adaptive Sketch Portrait Generation by Decompositional Representation Learning
Figure 3 for Content-Adaptive Sketch Portrait Generation by Decompositional Representation Learning
Figure 4 for Content-Adaptive Sketch Portrait Generation by Decompositional Representation Learning
* Published in TIP 2017 
  Access Paper or Ask Questions

End-to-End Photo-Sketch Generation via Fully Convolutional Representation Learning


Apr 11, 2015
Liliang Zhang, Liang Lin, Xian Wu, Shengyong Ding, Lei Zhang

Figure 1 for End-to-End Photo-Sketch Generation via Fully Convolutional Representation Learning
Figure 2 for End-to-End Photo-Sketch Generation via Fully Convolutional Representation Learning
Figure 3 for End-to-End Photo-Sketch Generation via Fully Convolutional Representation Learning
Figure 4 for End-to-End Photo-Sketch Generation via Fully Convolutional Representation Learning
* 8 pages, 6 figures. Proceeding in ACM International Conference on Multimedia Retrieval (ICMR), 2015 
  Access Paper or Ask Questions