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Paul Liang

Assistant Professor at the MIT Media Lab and EECS

Paul Liang, an Assistant Professor at the MIT Media Lab and EECS, where he lead the Multisensory Intelligence group. 


He earned his Ph.D. in Machine Learning from Carnegie Mellon University and was a visiting researcher at UC Berkeley’s Simons Institute in 2024.

4D Reconstruction with Events & RGB

Year of Publication:

Venue:

The 19th European Conference on Computer Vision (ECCV 2026): 3rd Workshop on Neuromorphic Vision: Advantages and Applications of Event Cameras

2026

Publication Type:

Conference

Status: 

Accepted

Authors:

Dulanga Weerakoon (SMART), Darshana Rathnayake (SMART), Van Minh Do (SMART), Hemanth

Sabbella (SMU), Kaichen Zhou (MIT), Fangneng Zhan (MIT), Alok Prakash (SMART), Sanjay Sarma (MIT),

Archan Misra (SMU), and Paul Pu Liang (MIT)

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

Year of Publication:

Venue:

ICLR 2026 (Best Paper Award at the Workshop on Multi-Turn Interactions in Large Language Models (MTI-LLM), in conjunction with NeurIPS 2025)

2025

Publication Type:

Conference

Status: 

Published

Authors:

Zijian Zhou (SMART), Ao Qu (MIT), Zhaoxuan Wu (SMART), Sunghwan Kim (Yonsei University), Alok Prakash (SMART), Daniela Rus (MIT), Jinhua Zhao (MIT), Bryan Kian Hsiang Low (NUS), Paul Pu Liang (MIT)

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