Zhilin Yang

About



I am a fourth and final year PhD student at the School of Computer Science, Carnegie Mellon University.

I work on deep learning and natural language understanding.
My advisors are Ruslan Salakhutdinov and William W. Cohen.

I worked at Facebook AI Research with Jason Weston, and Google Brain with Quoc V. Le.
I am an Nvidia Fellow and a Siebel Scholar. I also received the Nvidia Pioneering Research Award and Facebook ParlAI Research Award.

Prior to coming to CMU, I was an undergrad at Tsinghua University, advised by Jie Tang.

You can contact me through A@B, where A=zhiliny and B=cs.cmu.edu.

[Google Scholar] [GitHub]

我的名字是杨植麟。

News



09/2018
HotpotQA dataset released! Along with code, blog posts, and website.

09/2018
Paper accepted at NIPS 2018.
[PDF]

08/2018
Two papers accepted at EMNLP 2018.
[PDF] [PDF]

05/2018
Starting my internship at Google Brain, mentored by Quoc V. Le.

05/2018
Paper on unsupervised relational graph learning released.
[PDF]

01/2018
One oral (acceptance rate 2%) and one poster at ICLR 2018.
[PDF] [PDF]

11/2017
Paper on Mechanical Turker Descent released.
[PDF]

11/2017
Paper and code on language modeling released. SOTA on Penn Treebank and WikiText-2.
[PDF] [Code]

11/2017
Code on GAN-based semi-supervised learning released. SOTA on MNIST, SVHN, and CIFAR-10 with standard architectures.

09/2017
Two papers accepted at NIPS 2017.
[PDF] [PDF]

09/2017
Code and data on Transfer Learning released.

05 - 08/2017
Internship at Facebook AI Research, mentored by Jason Weston.

06/2017
Dataset on Semi-Supervised QA released.

05/2017
Paper on Semi-Supervised Learning with Bad GANs released. SOTA on MNIST, SVHN, and CIFAR-10 with standard architectures.
[PDF]

05/2017
Paper on Differentiable Rule Learning updated. SOTA on Wordnet, Freebase, and WikiMovies.
[PDF]

03/2017
Paper on Semi-Supervised QA with Generative Domain-Adaptive Nets accepted by ACL 2017 .
[PDF]

03/2017
Paper on Gated Attention Readers accepted by ACL 2017 .
[PDF]

02/2017
Two papers accepted at ICLR 2017.


Education



Carnegie Mellon University

PhD student, Computer Science, 2015 till now



Tsinghua University

BE, Computer Science, 2011-2015

Major GPA 96.8/100, Overall GPA 94.2/100, ranked No.1 among 124 students in the computer science department.

1st place, best undergraduate thesis, computer science department

Advisor: Professor Jie Tang


Papers



HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Zhilin Yang*, Peng Qi*, Saizheng Zhang*, Yoshua Bengio, William W. Cohen, Ruslan Salakhutdinov, Christopher D. Manning
EMNLP 2018 (*: equal contribution)


GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations

Zhilin Yang*, Jake Zhao*, Bhuwan Dhingra, Kaiming He, William W. Cohen, Ruslan Salakhutdinov, Yann LeCun
NIPS 2018 (*: equal contribution)
[PDF]


Neural Cross-Lingual Named Entity Recognition with Minimal Resources

Jiateng Xie, Zhilin Yang, Graham Neubig, Noah A. Smith, Jaime Carbonell
EMNLP 2018
[PDF]


Neural Models for Reasoning over Multiple Mentions using Coreference

Bhuwan Dhingra, Qiao Jin, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov
NAACL 2018, short paper


Breaking the Softmax Bottleneck: A High-Rank RNN Language Model

Zhilin Yang*, Zihang Dai*, Ruslan Salakhutdinov, William W. Cohen
ICLR 2018 (*: equal contribution)
Oral, acceptance rate 2%
[PDF] [Code]


Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Descent

Zhilin Yang, Saizheng Zhang, Jack Urbanek, Will Feng, Alexander H. Miller, Arthur Szlam, Douwe Kiela, Jason Weston
ICLR 2018
[PDF]


Good Semi-supervised Learning that Requires a Bad GAN

Zihang Dai*, Zhilin Yang*, Fan Yang, William W. Cohen, Ruslan Salakhutdinov
NIPS 2017 (*: equal contribution)
[PDF] [Code]


Differentiable Learning of Logical Rules for Knowledge Base Reasoning

Fan Yang, Zhilin Yang, William W. Cohen
NIPS 2017
[PDF] [Code]


Linguistic Knowledge as Memory for Recurrent Neural Networks

Bhuwan Dhingra, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov
Preprint 2017
[PDF]


Semi-Supervised QA with Generative Domain-Adaptive Nets

Zhilin Yang, Junjie Hu, Ruslan Salakhutdinov, William W. Cohen
ACL 2017
[PDF] [Data]


Gated-Attention Readers for Text Comprehension

Bhuwan Dhingra, Hanxiao Liu, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov
ACL 2017
[PDF] [Code]


Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks

Zhilin Yang, Ruslan Salakhutdinov, William W. Cohen
ICLR 2017
[PDF] [Code]


Words or Characters? Fine-grained Gating for Reading Comprehension

Zhilin Yang, Bhuwan Dhingra, Ye Yuan, Junjie Hu, William W. Cohen, Ruslan Salakhutdinov
ICLR 2017
[PDF] [Code]


Review Networks for Caption Generation

Zhilin Yang, Ye Yuan, Yuexin Wu, Ruslan Salakhutdinov, William W. Cohen
NIPS 2016


Multi-Task Cross-Lingual Sequence Tagging from Scratch

Zhilin Yang, Ruslan Salakhutdinov, William Cohen
Preprint 2016
[PDF]


Revisiting Semi-Supervised Learning with Graph Embeddings

Zhilin Yang, William Cohen, Ruslan Salakhutdinov
ICML 2016


Multi-Modal Bayesian Embeddings for Learning Social Knowledge Graphs

Zhilin Yang, Jie Tang, William Cohen
IJCAI 2016
Our model is deployed on AMiner for extracting research interests.


Collaborative Embedding Features and Diversified Ensemble for E-Commerce Repeat Buyer Prediction

Zhanpeng Fang*, Zhilin Yang*, Yutao Zhang (* indicates equal contribution)
IJCAI Workshop 2015
Invited paper, competition winners.
[PDF] [Slides]


COSNET: Connecting Heterogeneous Social Networks with Local and Global Consistency

Yutao Zhang, Jie Tang, Zhilin Yang, Jian Pei, Philip Yu
KDD 2015
Oral presentation, acceptance rate 19%.
[PDF] [Slides]


Active Learning for Streaming Networked Data

Zhilin Yang, Jie Tang, Yutao Zhang
CIKM 2014
Full paper, acceptance rate 21%.
[PDF]


Active Learning for Networked Data Based on Non-Progressive Diffusion Model

Zhilin Yang, Jie Tang, Bin Xu, Chunxiao Xing
WSDM 2014
Full-length oral presentation (5%), acceptance rate 18%.
[PDF]


SAE: Social Analytic Engine for Large Networks

Yang Yang, Jianfei Wang, Yutao Zhang, Wei Chen, Jing Zhang, Honglei Zhuang, Zhilin Yang, Bo Ma, Zhanpeng Fang, Sen Wu, Xiaoxiao Li, Debing Liu, Jie Tang
KDD Demo 2013
[PDF]