Paul Pu Liang

pliang279

@pliang279

@lpwinniethepu

News

• 09/2019: Learning to abstain under uncertainty with portfolio theory accepted to NeurIPS 2019.
• 08/2019: I will be the head TA for 11-777 Advanced Multimodal Machine Learning in Fall 2019, with new content on multimodal RL, unsupervised alignment, knowledge graphs, and interpretable learning!
• 06/2019: I am compiling a reading list for multimodal ML containing papers, software, workshops, tutorials, and courses! It spans various modalities (language, vision, speech, video, touch) and applications (QA, dialog, RL, reasoning, grounding, navigation, affective computing, healthcare, robotics). Links to code and data are included. I'll be updating regularly, if there's anything I missed, please let me know.
• 06/2019: New preprints on fair federated learning via local models, learning to abstain under uncertainty, and generative models for incomplete data.
• 05/2019: 2 papers accepted at ACL 2019 on learning from imperfect and unaligned multimodal time series data.
• 02/2019: We will present 2 papers at NAACL and CVPR 2019: strong baselines for multimodal learning and a new QA dataset on comprehending social interactions.
• 01/2019: I will be a TA for 10-708 Probabilistic Graphical Models in Spring 2019, with new content on deep generative models, RL, and probabilistic programming!
• 12/2018: Excited to be a workflow chair for ICML 2019!
• 12/2018: "Learning Factorized Multimodal Representations" to appear at ICLR 2019.
• 11/2018: 2 papers accepted at AAAI 2019: multimodal cyclic translations and dynamic word representations.
• 10/2018: 2 papers on multimodal NLP [1,2] presented at EMNLP 2018 and ICMI 2018.
• 08/2018: I will be a TA for 10-715 Advanced Introduction to Machine Learning in Fall 2018.
• 05/2018: I completed my Master's Data Analysis Project research and received the best presentation 1st runner-up award.
• 04/2018: 3 papers presented at ACL 2018 main conference and workshops: CMU-MOSEI dataset, low-rank fusion, and seq2seq2sentiment.
• 01/2018: I will be co-organizing the First Grand Challenge and Workshop on Human Multimodal Language at ACL 2018.
• 11/2017: 2 papers on neural networks [1,2] for multimodal communication accepted at AAAI 2018.
• 11/2017: Our paper on gated multimodal fusion won the honorable mention award at ICMI 2017!

Education

• Carnegie Mellon University, Pittsburgh, PA, USA.                      Aug 2018 - Present
Doctor of Philosophy in Machine Learning
Advisors: Louis-Philippe Morency and Ruslan Salakhutdinov
GPA: 4.23/4.00
• Carnegie Mellon University, Pittsburgh, PA, USA.                      Aug 2017 - May 2018
Master of Science in Machine Learning
Advisor: Louis-Philippe Morency
Thesis: Computational Modeling of Human Multimodal Language: The MOSEI Dataset and Interpretable Dynamic Fusion
GPA: 4.24/4.00
• Carnegie Mellon University, Pittsburgh, PA, USA.                      Aug 2014 - May 2017
Bachelor of Science with University Honors in Computer Science
Minor in Neural Computation
GPA: 3.87/4.00

Experience

• Google AI Research, Pittsburgh, PA, USA.                                 Sept 2019 - Present
Student Researcher
Advisors: Manzil Zaheer, Yuan Wang, and Amr Ahmed
• Google AI Research, Mountain View, CA, USA.                           May 2019 - Aug 2019
Research Intern
Advisors: Manzil Zaheer, Yuan Wang, and Amr Ahmed
• RIKEN Artificial Intelligence Project, Tokyo, Japan.                  Dec 2018 - Jan 2019
Visiting Researcher
Advisors: Makoto Yamada, Qibin Zhao, and Masashi Sugiyama

Publications

2019

20. On Emergent Communication in Competitive Multi-Agent Games
Paul Pu Liang, Jeffrey Chen, Ruslan Salakhutdinov, Louis-Philippe Morency, Satwik Kottur
NeurIPS 2019 Workshop on Emergent Communication
[paper] [arXiv]
21. Think Locally, Act Globally: Federated Learning with Local and Global Representations
Paul Pu Liang*, Terrance Liu*, Liu Ziyin, Ruslan Salakhutdinov, Louis-Philippe Morency
NeurIPS 2019 Workshop on Federated Learning (oral)
[paper] [arXiv]
22. Deep Gamblers: Learning to Abstain with Portfolio Theory
Liu Ziyin, Zhikang Wang, Paul Pu Liang, Ruslan Salakhutdinov, Louis-Philippe Morency, Masahito Ueda
NeurIPS 2019
[paper] [arXiv] [code]
23. Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization
Paul Pu Liang*, Zhun Liu*, Yao-Hung Hubert Tsai, Qibin Zhao, Ruslan Salakhutdinov, Louis-Philippe Morency
ACL 2019
[paper] [arXiv]
24. Multimodal Transformer for Unaligned Multimodal Language Sequences
Yao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang, Zico Kolter, Louis-Philippe Morency, Ruslan Salakhutdinov
ACL 2019
[paper] [arXiv] [code]
25. Social-IQ: A Question Answering Benchmark for Artificial Social Intelligence
Amir Zadeh, Michael Chan, Paul Pu Liang, Edmund Tong, Louis-Philippe Morency
CVPR 2019 (oral)
[paper] [code]
26. Strong and Simple Baselines for Multimodal Utterance Embeddings
Paul Pu Liang*, Yao Chong Lim*, Yao-Hung Hubert Tsai, Ruslan Salakhutdinov, Louis-Philippe Morency
NAACL 2019 (oral)
[paper] [arXiv] [code] [slides]
27. Learning Factorized Multimodal Representations
Paul Pu Liang*, Yao-Hung Hubert Tsai*, Amir Zadeh, Louis-Philippe Morency, Ruslan Salakhutdinov
ICLR 2019
NeurIPS 2018 Workshop on Bayesian Deep Learning
[paper] [arXiv] [code] [poster]
28. Found in Translation: Learning Robust Joint Representations by Cyclic Translations Between Modalities
Paul Pu Liang*, Hai Pham*, Thomas Manzini, Louis-Philippe Morency, Barnabás Póczos
AAAI 2019
NeurIPS 2018 Workshop on Interpretability and Robustness in Audio, Speech and Language (oral)
[paper] [arXiv] [code] [slides] [poster]
29. Words can Shift: Dynamically Adjusting Word Representations Using Nonverbal Behaviors
Yansen Wang, Ying Shen, Zhun Liu, Paul Pu Liang, Amir Zadeh, Louis-Philippe Morency
AAAI 2019
[paper] [arXiv] [code] [slides] [poster]

2018

10. Computational Modeling of Human Multimodal Language: The MOSEI Dataset and Interpretable Dynamic Fusion
Paul Pu Liang, Ruslan Salakhutdinov, Louis-Philippe Morency
Master's Thesis, CMU Machine Learning Data Analysis Project 2018 (best presentation runner-up)
[paper] [slides] [poster]
11. Multimodal Language Analysis with Recurrent Multistage Fusion
Paul Pu Liang, Ziyin Liu, Amir Zadeh, Louis-Philippe Morency
EMNLP 2018 (oral)
NeurIPS 2018 Workshop on Modeling and Decision-making in the Spatiotemporal Domain (oral)
[paper] [arXiv] [slides] [poster]
12. Multimodal Local-Global Ranking Fusion for Emotion Recognition
Paul Pu Liang, Amir Zadeh, Louis-Philippe Morency
ICMI 2018
[paper] [arXiv] [poster]
13. An Empirical Evaluation of Sketched SVD and its Application to Leverage Score Ordering
Hui Han Chin, Paul Pu Liang
ACML 2018
[paper] [arXiv] [slides] [poster]
14. Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph
Amir Zadeh, Paul Pu Liang, Jonathan Vanbriesen, Soujanya Poria, Edmund Tong, Erik Cambria, Minghai Chen, Louis-Philippe Morency
ACL 2018 (oral)
[paper] [arXiv] [code] [slides]
15. Efficient Low-rank Multimodal Fusion with Modality-Specific Factors
Zhun Liu, Ying Shen, Varun Lakshminarasimhan, Paul Pu Liang, Amir Zadeh, Louis-Philippe Morency
ACL 2018 (oral)
[paper] [arXiv] [code] [slides]
16. Proceedings of the First Grand Challenge and Workshop on Human Multimodal Language (Challenge-HML)
Amir Zadeh, Paul Pu Liang, Louis-Philippe Morency, Soujanya Poria, Erik Cambria, Stefan Scherer
ACL 2018 Workshop Proceedings
[proceedings] [website] [introduction] [datasets] [results]
17. Multi-attention Recurrent Network for Human Communication Comprehension
Amir Zadeh, Paul Pu Liang, Soujanya Poria, Prateek Vij, Erik Cambria, Louis-Philippe Morency
AAAI 2018 (oral)
[paper] [arXiv] [code] [slides]
18. Memory Fusion Network for Multi-view Sequential Learning
Amir Zadeh, Paul Pu Liang, Navonil Mazumder, Soujanya Poria, Erik Cambria, Louis-Philippe Morency
AAAI 2018 (oral)
[paper] [arXiv] [code] [slides]

2017

1. Multimodal Sentiment Analysis with Word-level Fusion and Reinforcement Learning
Paul Pu Liang*, Minghai Chen*, Sen Wang*, Tadas Baltrušaitis, Amir Zadeh, Louis-Philippe Morency
ICMI 2017 (oral, honorable mention award)
[paper] [arXiv] [code] [slides]

Honors

• CMU Graduate Research Fellowship, 2018-2023
• NeurIPS Travel Award and Reviewer Award, 2019
• CMU Teaching Assistant Award, 2019
• Citadel Terminal Competition Problem Solving Report Winners, 2019
• CMU Puzzlehunt 1st Place, 2018-2019
• NSF Graduate Research Fellowship Program Honorable Mention Award, 2018
• CMU Machine Learning Department Data Analysis Project Best Presentation 1st Runner-up, 2018
• ACM ICMI 2017 Best Paper Honorable Mention Award, 2017
• CMU School of Computer Science University Honors, 2017
• CMU School of Computer Science Dean's List, 2015-2017
• Harvard University Hacking Eating Tracking Hackathon Judge's Choice Award, 2015

Teaching

• Head TA: 11-777 Advanced Multimodal Machine Learning, Fall 2019, CMU. Instructor: Louis-Philippe Morency
• TA: 10-708 Probabilistic Graphical Models, Spring 2019, CMU. Instructor: Eric Xing
• TA: 10-715 Advanced Introduction to Machine Learning, Fall 2018, CMU. Instructor: Maria-Florina Balcan
• TA: 10-601 Introduction to Machine Learning, Fall 2016, CMU. Instructor: Roni Rosenfeld
• TA: 15-213/18-213/15-513 Introduction to Computer Systems, Summer 2016, CMU. Instructor: Brian Railing

Student Advising

• Masters: Chloe Chen (CMU MIIS, Aug 2019 - Present), Jiaqi Pan (CMU MIIS, Aug 2019 - Present), Kavya Nerella (CMU MIIS, Aug 2019 - Present), Jiaqiang Ruan (CMU MIIS, Aug 2019 - Present), Terrance Liu (CMU MSML, Jan 2019 - Present), Irene Li (CMU MSML, Aug 2018 - Present), Zhun Liu (CMU MIIS, Aug 2017 - May 2019), Ying Shen (CMU MIIS, Aug 2017 - May 2019), Yao Chong Lim (CMU MSCS, Aug 2018 - Jan 2019), Varun Bharadhwaj (CMU MIIS, Aug 2017 - Feb 2018)
• Undergraduates: Blair Chen (CMU BSAI, Sept 2019 - Present), Eric Chen (CMU BSAI, Aug 2019 - Present), Shane Guan (CMU BSCS, Aug 2019 - Present), Peter Wu (CMU BSCS, May 2019 - Present), Jeffrey Chen (CMU BSCS, Jan 2019 - May 2019), Emily Zheng (CMU BSAI, Jan 2019 - May 2019), Ziyin Liu (CMU BSCS, Oct 2017 - May 2018), Michael Chan (CMU BSIS, Oct 2017 - May 2018), Jonathan Vanbriesen (CMU BSCS May 2017 - Feb 2018), Edmund Tong (CMU BSCS May 2017 - Dec 2017)

Academic Talks

• Learning Sparse Representations of Discrete Objects
Google Research, Mountain View, CA, USA, Aug 2019

• Computational Modeling of Human Multimodal Language
Google Research, Mountain View, CA, USA, July 2019
RIKEN Artificial Intelligence Project Machine Learning Seminar, Tokyo, Japan, Jan 2019
RIKEN Artificial Intelligence Project Machine Learning Seminar, Kyoto, Japan, Dec 2018
University of Electronic Science and Technology of China, Chengdu, China, Aug 2018
ACL 2018, Melbourne, Australia, July 2018
Jilin University, Changchun, China, May 2018
CMU Machine Learning Department Data Analysis Project Presentation, Pittsburgh, PA, USA, Apr 2018
[slides]
• Learning Robust Joint Representations by Cyclic Translations Between Modalities
NeurIPS 2018 Workshop on Interpretability and Robustness, Montreal, Canada, Dec 2018
[slides]
• Multimodal Language Analysis with Recurrent Multistage Fusion
NeurIPS 2018 Workshop on Spatiotemporal Modeling, Montreal, Canada, Dec 2018
EMNLP 2018, Brussels, Belgium, Nov 2018
[slides]
• Advances in Multimodal Datasets
First Workshop on Human Multimodal Language at ACL 2018, Melbourne, Australia, July 2018
[slides]
• Multi-attention Recurrent Network for Human Communication Comprehension
AAAI 2018, New Orleans, LA, USA, Feb 2018
[slides]
• Multimodal Sentiment Analysis with Word-level Fusion and Reinforcement Learning
University of Electronic Science and Technology of China, Chengdu, China, Dec 2017
[slides]

Professional Activities

• Workflow Chair: ICML 2019
• Session Chair: AAAI 2019
• General Chair: ACL 2020 Second Grand Challenge and Workshop on Human Multimodal Language
• General Chair: ACL 2018 First Grand Challenge and Workshop on Human Multimodal Language
• Conference PC Member or Reviewer: NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, CVPR, ICCV, ECCV, AAAI, ICMI, FG, NeurIPS workshops, ACL workshops, ML4H
• Journal Reviewer: IEEE Transactions on Affective Computing, IEEE Transactions on Multimedia, IEEE Computational Intelligence Magazine, Elsevier Information Fusion, Elsevier Computer Speech and Language
• CMU AI+ Committee, 2019
• CMU Machine Learning Blog Editorial Board, 2019
• CMU AI Undergraduate Research Mentor, 2018-2019
• CMU Machine Learning Department PhD Admissions Committee, 2018-2019
• CMU Machine Learning Department Masters Admissions Committee, 2017
• CMU Singapore Students Association Co-President, 2015