Paul Liang
Sony Corporation Career Development Professor of Media Arts and Sciences; Assistant Professor
Develops foundations of multisensory and self-evolving AI that integrate diverse sensory channels, and interactive AI that augments human capabilities.
Paul Liang's lab at MIT works in Machine Learning. 24 papers since 2023, 21 at top venues, mostly ICLR and NeurIPS. Applications close .
At a glance
- papers, 2023–2026
- 6/ year
- at T1 venues
- 88%
- PhD students
- 0
- MS students
- 0
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 9 papers2026 · T1 8 · collecting
- 15 papers2025 · T1 13
- 0 papers2024 · T1 0
- 0 papers2023 · T1 0
T1 venuesOtherVenues: ICLR, NeurIPS, ICML, CHI
Research focuspaper titles that use each topic's words
- multisensory0 papers
- integrate0 papers
- diverse0 papers
- develops foundations0 papers
- sensory0 papers
Paper list
From the lab homepage.
20269 papers
- COLMCORAL: Towards Autonomous Multi-Agent Evolution for Open-Ended Discovery (opens in a new tab)
- CHI (T1)Dialogues with AI Reduce Beliefs in Misinformation but Build No Lasting Discernment Skills (opens in a new tab)
- ICLR (T1)Human Behavior Atlas: Benchmarking Unified Psychological and Social Behavior Understanding (opens in a new tab)
- ICLR (T1)MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents (opens in a new tab)
- ICML (T1)OmniSapiens: A Foundation Model for Social Behavior Processing via Heterogeneity-Aware Relative Policy Optimization (opens in a new tab)
- ICLR (T1)Page-4D: Disentangled Pose and Geometry Estimation for 4D Perception (opens in a new tab)
- ICML (T1)Propose, Solve, Verify: Self-Play Through Formal Verification (opens in a new tab)
- ICLR (T1)PuzzleWorld: A Benchmark for Multimodal, Open-Ended Reasoning in Puzzlehunts (opens in a new tab)
- ICLR (T1)SmellNet: A Large-scale Dataset for Real-world Smell Recognition (opens in a new tab)
202515 papers
- ICLR (T1)Beyond the Imitation Game: Quantifying and Extrapolating the Capabilities of Language Models (opens in a new tab)
- ICML (T1)CLIMB: Data Foundations for Large Scale Multimodal Clinical Foundation Models (opens in a new tab)
- CHI Late-Breaking WorkFits like a Flex-Glove: Automatic Design of Personalized FPCB-Based Tactile Sensing Gloves (opens in a new tab)
- CHI Late-Breaking WorkInteractive Sketchpad: A Multimodal Tutoring System for Collaborative, Visual Problem-Solving (opens in a new tab)
- NeurIPS (T1)MimeQA: Towards Socially-intelligent Nonverbal Foundation Models (opens in a new tab)
- NeurIPS (T1)Multimodal Fusion Balancing Through Game-Theoretic Regularization (opens in a new tab)
- ICLR (T1)OS-ATLAS: A Foundation Action Model for Generalist GUI Agents (opens in a new tab)
- NeurIPS (T1)Partial Information Decomposition via Normalizing Flows in Latent Gaussian Distributions (opens in a new tab)
- ICLR (T1)Progressive Compositionality In Text-to-Image Generative Models (opens in a new tab)
- NeurIPS (T1)QoQ-Med: Building Multimodal Clinical Foundation Models with Domain-Aware GRPO Training (opens in a new tab)
- NeurIPS (T1)REGen: Multimodal Retrieval-Embedded Generation for Long-to-Short Video Editing (opens in a new tab)
- ICLR (T1)TeaserGen: Generating Teasers for Long Documentaries (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to MITFall 2027
MIT EECS Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- See program page
- English
- TOEFL/IELTS
- Fee
- USD 90
Confirmed on the program page.
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Data
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