I am currently a postdoctoral researcher working with Lawrence Carin at Duke University. Before that, I worked with Rebecca J. Passonneau at both Columbia University and Pennsylvania State University. I received my PhD in Computer Science and Technology from Tsinghua University, advised by Gerard de Melo. At Tsinghua, I was a member of the Web Mining and Language Technology group, part of the Institute for Interdisciplinary Information Sciences, which is led by Turing award winner Andrew Yao.
My current research focuses on a wide range of topics in Natural Language Processing, Machine Learning, and the intersection of Machine Learning with Biomedical Data Science, Education, and Human-Computer Interaction.
Dear Students: Please contact me if you are interested in related research projects!
Email: laraqianyang[at]gmail[dot]com
FLOP: Federated Learning on Medical Datasets using Partial Networks.
KDD, 2021.
[Online]
Improving Text Generation with Student-Forcing Optimal Transport.
EMNLP, 2020.
[Online]
[BiBTeX]
Graph-Driven Generative Models for Heterogeneous Multi-Task Learning.
AAAI, 2020.
[Online]
[BiBTeX]
Ouroboros: On Accelerating Training of Transformer-Based Language Models.
NeurIPS, 2019.
[Online]
[BiBTeX]
[Code]
Improving Textual Network Learning with Variational Homophilic Embeddings.
NeurIPS, 2019.
[Online]
[BiBTeX]
An End-to-End Generative Architecture for Paraphrase Generation.
EMNLP, 2019.
[Online]
[BiBTeX]
Learning Compressed Sentence Representations for On-Device Text Processing.
ACL, 2019. [Oral Presentation]
[Online]
[BiBTeX]
[Code]
Decoupled Parallel Backpropagation with Convergence Guarantee.
ICML , 2018. [Oral Presentation]
[Online]
[BiBTeX]
[Code]
HiText: Text Reading with Dynamic Salience Marking.
WWW, 2017. [Oral Presentation]
[Online]
[BiBTeX]
Neural Machine Translation with Pivot Languages.
IJCAI, 2017.
[Online]
[BiBTeX]
Wise Crowd Content Assessment and Educational Rubrics.
International Journal of Artificial Intelligence in Education, 10.1007/s40593-016-0128-6, 2016.
[Online]
[BiBTeX]
PEAK: Pyramid Evaluation via Automated Knowledge Extraction.
AAAI, 2016. [Oral Presentation]
[Online]
[BiBTeX]
[Code]
[Slides]
Research on the Key Management for AMI System.
Electrical Measurement and Instrumentation, Issue No. 2, 2016.
[Online]
[BiBTeX]
Semi-loss-tolerant Strong Quantum Coin-flipping Protocol Using Quantum Non-demolition Measurement.
Quantum Information Processing, 10.1007/s11128-014-0747-5, 2014.
[Online]
[BiBTeX]
Semi-loss-tolerant Strong Coin Flipping Protocol Using EPR Pairs.
Quantum Information and Computation, Vol. 12 No. 5 and 6, 2011.
[Online]
[BiBTeX]
We provide a Java implementation of PEAK, the first tool to automatically generate the pyramid models that enables the whole automatical assessment of both human and machine summaries.
[Enter PEAK's homepage]
Three-Party Secret Key Management Method Based on IEC62056 Data Transmission Safety Standard.
Filing date: Nov 6, 2014
Granted on July 10, 2018
[BiBTeX]
2017.4 – 2017.5, Visiting Ph.D. Student, the Department of Computer Science, Rutgers University
Supervisor: Gerard de Melo
2016.5 – 2016.9, Visiting Ph.D. Student, the Human Language Technology and Pattern Recognition Group, Computer Science Department, RWTH Aachen University
Supervisor: Dr.-Ing. Hermann Ney
2014.12 – 2015.3, Visiting Ph.D. Student, Center for Computational Learning Systems (CCLS), Columbia University in the City of New York
Supervisor: Rebecca J. Passonneau
Jan 2020, Natural Language Processing Winter School
Lecturer
Up to 200 participants, Duke University
[Homepage]
Spring 2018, Natural Language Processing
Guest Lecturer
Graduate Course, CSE 597, Pennsylvania State University, Instructor: Rebecca J. Passonneau
Spring 2014 – 2015, Speech Science, Technology and Innovative Applications
Teaching Assistant
Tsinghua University, Instructors: P.C. Ching, Tan Lee, Ken Ma, Helen Meng, and William S.-Y. Wang, all from the Chinese University of Hong Kong, and Gerard de Melo, from Tsinghua University
[Course Homepage]
Fall 2013 – 2014, Hot Topics in Computational Biology
Teaching Assistant
Tsinghua University, Instructor: Jianyang (Michael) Zeng
Session Chair
Financial/Econ, Medical Imaging and Health, AAAI 2020
Deep Sequence Modeling, KDD 2020
Program Committee Member
NAACL (2018, 2019, 2021), IJCAI (2018, 2019, 2020), ACL (2018, 2019, 2020, 2021), COLING (2018), AAAI (2019, 2020, 2021), LDK (2019, 2020, 2021), EMNLP-IJCNLP (2019, 2020), WiML (2019), AAAI-KDF (2020, 2021), KDD (2020, 2021), ICML (2020, 2021), NeurIPS (2020), ICLR (2021), EAAI (2021), CVPR (2021), ICCV (2021)
Assigned to LINYANG Electronics Co., Ltd. by Tsinghua University, Jul. 2014
Topic: Data Encryption for Advanced Metering Infrastructure System
One journal paper in this area (as the only contributor to the idea), which is not related to my PhD topics.
Host for IIIS New Year Party 2013, 2014
You would never know the host is now very hungry.
Assistant for Graduate Students of IIIS, 2013
I organized a successful Doctoral Consortium with PhDs from both Computer Science and Physics.
This is a chorus competition organized by Tsinghua University, but the judgers are the top singers in China. I'm proud of the prize we won!
The second picture records the very first timing when our team won a competition!
Vice Minister of the Academic Ministry in Graduate Association, 2013
League Secretary of IIIS Grad2, 2012
Interests: Go (from the age of five), Piano, Guitar.
Credits: Teaching icon from Icons8.