06/2019: I am compiling a reading list for multimodal ML containing important papers, workshops, tutorials, and courses! It spans various modalities (language, vision, speech, video, touch, medical images) and applications (QA, dialog, reasoning, 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.
05/2019: 2 papers accepted at ACL 2019 on learning from imperfect and unaligned multimodal time series data.
04/2019: 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!
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!
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, Aug 2014 - May 2017
Bachelor of Science with University Honors in Computer Science
Minor in Neural Computation
GPA: 3.87/4.00
Think Locally, Act Globally: Federated Learning with Local and Global Representations
Paul Pu Liang*, Terrance Liu*, Ziyin Liu, Ruslan Salakhutdinov, Louis-Philippe Morency
arXiv 2019 [paper] [arXiv]
Deep Gamblers: Learning to Abstain with Portfolio Theory
Ziyin Liu, Zhikang Wang, Paul Pu Liang, Ruslan Salakhutdinov, Louis-Philippe Morency, Masahito Ueda
arXiv 2019 [paper] [arXiv]
Variational Auto-Decoder: Neural Generative Modeling from Incomplete Data
Amir Zadeh, Yao Chong Lim, Paul Pu Liang, Louis-Philippe Morency
arXiv 2019
[paper] [arXiv][code]
Hierarchical Seq2Seq: Learning Representations of Online Spoken Speech
Irene Li, Paul Pu Liang, Amir Zadeh, Louis-Philippe Morency
arXiv 2019 [paper] [arXiv] [code]
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]
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]
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] [arXiv] [code] [slides] [poster]
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]
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]
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]
Words can Shift: Dynamically Adjusting Word Representations Using Nonverbal Behaviors
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]
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]
Multimodal Local-Global Ranking Fusion for Emotion Recognition
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][slides][code]
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][slides][code]
Proceedings of the First Grand Challenge and Workshop on Human Multimodal Language (Challenge-HML)
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][slides][code]
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][slides][code]
2017
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][slides]
Honors
CMU Graduate Research Fellowship, 2018-2023
CMU Machine Learning Department Data Analysis Project Best Presentation 1st Runner-up, 2018
NSF Graduate Research Fellowship Program Honorable Mention Award, 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
Computational Modeling of Human Multimodal Language
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]
Conference PC Member or Reviewer: NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, CVPR, ICCV, AAAI, ICMI, FG
Journal Reviewer: IEEE Transactions on Affective Computing, IEEE Computational Intelligence Magazine, Elsevier Information Fusion, Elsevier Computer Speech and Language
CMU Machine Learning Department PhD Admissions Committee
CMU Machine Learning Department Masters Admissions Committee
CMU AI Undergraduate Research Mentor
I have an Erdős number of 3 (Paul Erdős → Giuseppe Melfi → Erik Cambria → Paul Pu Liang).
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@pliang279 
@lpwinniethepu