Yitao Liang
33 papers · 2018–2026 · 9 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (15) π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (5) π Conference Polyglot (9)
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Interdisciplinary Bridge
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Taxonomy Completionist
(15)
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Conference Pioneer
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Century Club
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Conferences
NIPS (8)
AAAI (6)
ICML (6)
ICLR (5)
ACL (3)
CVPR (2)
CORL (1)
ICCV (1)
IJCAI (1)
Top co-authors
Keywords
probabilistic circuit
(3)
tractable inference
(3)
representation learning
(3)
generative model
(3)
large language model
(3)
knowledge distillation
(3)
probabilistic inference
(2)
reinforcement learning
(2)
spatial reasoning
(2)
imitation learning
(2)
foundation model
(2)
vision-language model
(2)
multi-task learning
(2)
parameter learning
(2)
deep learning
(2)
diffusion model
(2)
zero-shot generalization
(2)
bayesian inference
(1)
convex optimization
(1)
variational inference
(1)
Papers
DexGraspVLA: A Vision-Language-Action Framework Towards General Dexterous Grasping
AAAI 2026
Steering Visuomotor Policy in Open Worlds via Cross-View Goal Alignment
AAAI 2026
GROOT-2: Weakly Supervised Multimodal Instruction Following Agents
ICLR 2025
Low-Dimension-to-High-Dimension Generalization and Its Implications for Length Generalization
ICML 2025
TFG-Flow: Training-free Guidance in Multimodal Generative Flow
ICLR 2025
MCU: An Evaluation Framework for Open-Ended Game Agents
ICML 2025
Tractable Transformers for Flexible Conditional Generation
ICML 2025
Quantification of Large Language Model Distillation
ACL 2025
JARVIS-VLA: Post-Training Large-Scale Vision Language Models to Play Visual Games with Keyboards and Mouse
ACL 2025
ROCKET-1: Mastering Open-World Interaction with Visual-Temporal Context Prompting
CVPR 2025
Open-World Skill Discovery from Unsegmented Demonstration Videos
ICCV 2025
Mars: Situated Inductive Reasoning in an Open-World Environment
NIPS 2024
ProAgent: Building Proactive Cooperative Agents with Large Language Models
AAAI 2024
RulE: Knowledge Graph Reasoning with Rule Embedding
ACL 2024
TFG: Unified Training-Free Guidance for Diffusion Models
NIPS 2024
A Tractable Inference Perspective of Offline RL
NIPS 2024
OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents
NIPS 2024
Selecting Large Language Model to Fine-tune via Rectified Scaling Law
ICML 2024
GROOT: Learning to Follow Instructions by Watching Gameplay Videos
ICLR 2024
Neural-Symbolic Recursive Machine for Systematic Generalization
ICLR 2024
Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction
CVPR 2023
Describe, Explain, Plan and Select: Interactive Planning with LLMs Enables Open-World Multi-Task Agents
NIPS 2023
Out-of-Distribution Generalization by Neural-Symbolic Joint Training
AAAI 2023
SQA3D: Situated Question Answering in 3D Scenes
ICLR 2023
Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits
ICML 2023
Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation
NIPS 2022
Juice: A Julia Package for Logic and Probabilistic Circuits
AAAI 2021
SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning
CORL 2020
On Tractable Computation of Expected Predictions
NIPS 2019
Learning Logistic Circuits
AAAI 2019
What to Expect of Classifiers? Reasoning about Logistic Regression with Missing Features
IJCAI 2019
Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing
NIPS 2018
A Semantic Loss Function for Deep Learning with Symbolic Knowledge
ICML 2018