Liang, Paul Pu

Multimodal Transformer for Unaligned Multimodal Language Sequences

Tsai, Y.-H. H., Bai, S., Liang, P. P., Kolter, J. Z., Morency, L.-P., & Salakhutdinov, R. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Multimodal Machine Learning ApplicationsTime Series Analysis and Forecasting

Cited by 2,259

Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph

Bagher Zadeh, A., Liang, P. P., Poria, S., Cambria, E., & Morency, L.-P. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Multimodal Machine Learning ApplicationsSentiment Analysis and Opinion Mining

Cited by 1,433

Efficient Low-rank Multimodal Fusion With Modality-Specific Factors

Liu, Z., Shen, Y., Lakshminarasimhan, V. B., Liang, P. P., Bagher Zadeh, A., & Morency, L.-P. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Multimodal Machine Learning ApplicationsAdvanced Image Fusion Techniques

Cited by 1,170

Memory Fusion Network for Multi-view Sequential Learning

Zadeh, A., Liang, P. P., Mazumder, N., Poria, S., Cambria, E., & Morency, L.-P. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence

Multimodal Machine Learning ApplicationsTime Series Analysis and Forecasting

Cited by 855

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Srivastava, A., Rastogi, A., Rao, A., Shoeb, A. A. M., Abid, A., Fisch, A., Brown, A. R., Santoro, A., Gupta, A., Garriga-Alonso, A., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 569

Found in Translation: Learning Robust Joint Representations by Cyclic Translations between Modalities

Pham, H., Liang, P. P., Manzini, T., Morency, L.-P., & Póczos, B. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence

Sentiment Analysis and Opinion MiningMultimodal Machine Learning Applications

Cited by 512

Multimodal sentiment analysis with word-level fusion and reinforcement learning

Chen, M., Wang, S., Liang, P. P., Baltrušaitis, T., Zadeh, A., & Morency, L.-P. (2017) · Proceedings of the 19th ACM International Conference on Multimodal Interaction

Sentiment Analysis and Opinion MiningEmotion and Mood Recognition

Cited by 334

Learning Factorized Multimodal Representations

Tsai, Y.-H. H., Liang, P. P., Zadeh, A., Morency, L.-P., & Salakhutdinov, R. (2018) · arXiv

Multimodal Machine Learning ApplicationsSentiment Analysis and Opinion Mining

Cited by 323

Multimodal Language Analysis with Recurrent Multistage Fusion

Liang, P. P., Liu, Z., Bagher Zadeh, A., & Morency, L.-P. (2018) · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing

Multimodal Machine Learning ApplicationsSentiment Analysis and Opinion Mining

Cited by 230

MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents

Zhou, Z., Qu, A., Wu, Z., Kim, S., Prakash, A., Rus, D., Zhao, J., Low, B. K. H., & Liang, P. P. (2025) · arXiv

Topic ModelingSpeech and dialogue systems

Cited by 218

Towards a Science of Scaling Agent Systems

Kim, Y., Gu, K., Park, C., Park, C., Schmidgall, S., Heydari, A. A., Yan, Y., Zhang, Z., Zhuang, Y., Liu, Y., et al. (2025) · arXiv

Multi-Agent Systems and NegotiationAI-based Problem Solving and Planning

Cited by 197

Towards Understanding and Mitigating Social Biases in Language Models

Liang, P. P., Wu, C., Morency, L.-P., & Salakhutdinov, R. (2021) · arXiv

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 153

Learning Representations from Imperfect Time Series Data via Tensor Rank Regularization

Liang, P. P., Liu, Z., Tsai, Y.-H. H., Zhao, Q., Salakhutdinov, R., & Morency, L.-P. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Tensor decomposition and applicationsMultimodal Machine Learning Applications

Cited by 95

MultiBench: Multiscale Benchmarks for Multimodal Representation Learning

Liang, P. P., Lyu, Y., Fan, X., Wu, Z., Cheng, Y., Wu, J., Chen, L., Wu, P., Lee, M. A., Zhu, Y., et al. (2021) · arXiv

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 85

Foundations of Multimodal Co-learning

Zadeh, A., Liang, P. P., & Morency, L.-P. (2020) · Information Fusion

Multimodal Machine Learning ApplicationsMultisensory perception and integration

Cited by 40

Foundations and Trends in Multimodal Machine Learning: Principles, Challenges, and Open Questions

Liang, P. P., Zadeh, A., & Morency, L.-P. (2022) · arXiv

Multimodal Machine Learning ApplicationsMultisensory perception and integration

Cited by 38

Medical Hallucinations in Foundation Models and Their Impact on Healthcare

Kim, Y., Jeong, H., Chen, S., Li, S. S., Park, C., Lu, M., Alhamoud, K., Mun, J., Grau, C., Jung, M., et al. (2025) · arXiv

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 33

Cross-Modal Generalization: Learning in Low Resource Modalities via Meta-Alignment

Liang, P. P., Wu, P., Ziyin, L., Morency, L.-P., & Salakhutdinov, R. (2021) · Proceedings of the 29th ACM International Conference on Multimedia

Domain Adaptation and Few-Shot LearningMultimodal Machine Learning Applications

Cited by 22

Think Twice: Perspective-Taking Improves Large Language Models’ Theory-of-Mind Capabilities

Wilf, A., Lee, S., Liang, P. P., & Morency, L.-P. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Child and Animal Learning DevelopmentTopic Modeling

Cited by 17

MultiViz: Towards User-Centric Visualizations and Interpretations of Multimodal Models

Liang, P. P., Lyu, Y., Chhablani, G., Jain, N., Deng, Z., Wang, X., Morency, L.-P., & Salakhutdinov, R. (2023) · Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems

Explainable Artificial Intelligence (XAI)Data Visualization and Analytics

Cited by 4

Nano: Nested Human-in-the-Loop Reward Learning for Few-shot Language Model Control

Fan, X., Lyu, Y., Liang, P. P., Salakhutdinov, R., & Morency, L.-P. (2023) · Findings of the Association for Computational Linguistics: ACL 2023

Topic ModelingNatural Language Processing Techniques

Cited by 3

Understanding the Emergence of Multimodal Representation Alignment

Tjandrasuwita, M., Ekbote, C., Ziyin, L., & Liang, P. P. (2025) · arXiv

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 0