Yitao Liang

According to our database, Yitao Liang authored at least 43 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation.

Zihao Wang, Anji Liu, Haowei Lin, Jiaqi Li, Xiaojian Ma, Yitao Liang

CoRR, 2024

DIGIC: Domain Generalizable Imitation Learning by Causal Discovery.

Yang Chen, Yitao Liang, Zhouchen Lin

CoRR, 2024

Selecting Large Language Model to Fine-tune via Rectified Scaling Law.

Haowei Lin, Baizhou Huang, Haotian Ye, Qinyu Chen, Zihao Wang, Sujian Li, Jianzhu Ma, Xiaojun Wan, James Zou, Yitao Liang

CoRR, 2024

ProAgent: Building Proactive Cooperative Agents with Large Language Models.

Ceyao Zhang, Kaijie Yang, Siyi Hu, Zihao Wang, Guanghe Li, Yihang Sun, Cheng Zhang, Zhaowei Zhang, Anji Liu, Song-Chun Zhu, Xiaojun Chang, Junge Zhang, Feng Yin, Yitao Liang, Yaodong Yang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Effective long-term tracking with contrast optimizer.

Yongbo Han, Yitao Liang

Mach. Vis. Appl., July, 2023

Semantic Loss Functions for Neuro-Symbolic Structured Prediction.

Kareem Ahmed, Stefano Teso, Paolo Morettin, Luca Di Liello, Pierfrancesco Ardino, Jacopo Gobbi, Yitao Liang, Eric Wang, Kai-Wei Chang, Andrea Passerini, Guy Van den Broeck

Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models.

Zihao Wang, Shaofei Cai, Anji Liu, Yonggang Jin, Jinbing Hou, Bowei Zhang, Haowei Lin, Zhaofeng He, Zilong Zheng, Yaodong Yang, Xiaojian Ma, Yitao Liang

CoRR, 2023

Expressive Modeling Is Insufficient for Offline RL: A Tractable Inference Perspective.

Xuejie Liu, Anji Liu, Guy Van den Broeck, Yitao Liang

CoRR, 2023

MCU: A Task-centric Framework for Open-ended Agent Evaluation in Minecraft.

Haowei Lin, Zihao Wang, Jianzhu Ma, Yitao Liang

CoRR, 2023

GROOT: Learning to Follow Instructions by Watching Gameplay Videos.

Shaofei Cai, Bowei Zhang, Zihao Wang, Xiaojian Ma, Anji Liu, Yitao Liang

CoRR, 2023

ProAgent: Building Proactive Cooperative AI with Large Language Models.

Ceyao Zhang, Kaijie Yang, Siyi Hu, Zihao Wang, Guanghe Li, Yihang Sun, Cheng Zhang, Zhaowei Zhang, Anji Liu, Song-Chun Zhu, Xiaojun Chang, Junge Zhang, Feng Yin, Yitao Liang, Yaodong Yang

CoRR, 2023

Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners.

Xiaojuan Tang, Zilong Zheng, Jiaqi Li, Fanxu Meng, Song-Chun Zhu, Yitao Liang, Muhan Zhang

CoRR, 2023

Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents.

Zihao Wang, Shaofei Cai, Anji Liu, Xiaojian Ma, Yitao Liang

CoRR, 2023

Describe, Explain, Plan and Select: Interactive Planning with LLMs Enables Open-World Multi-Task Agents.

Zihao Wang, Shaofei Cai, Guanzhou Chen, Anji Liu, Xiaojian Ma, Yitao Liang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits.

Xuejie Liu, Anji Liu, Guy Van den Broeck, Yitao Liang

Proceedings of the International Conference on Machine Learning, 2023

SQA3D: Situated Question Answering in 3D Scenes.

Xiaojian Ma, Silong Yong, Zilong Zheng, Qing Li, Yitao Liang, Song-Chun Zhu, Siyuan Huang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction.

Shaofei Cai, Zihao Wang, Xiaojian Ma, Anji Liu, Yitao Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Out-of-Distribution Generalization by Neural-Symbolic Joint Training.

Anji Liu, Hongming Xu, Guy Van den Broeck, Yitao Liang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

RulE: Neural-Symbolic Knowledge Graph Reasoning with Rule Embedding.

Xiaojuan Tang, Song-Chun Zhu, Yitao Liang, Muhan Zhang

CoRR, 2022

Neural-Symbolic Recursive Machine for Systematic Generalization.

Qing Li, Yixin Zhu, Yitao Liang, Ying Nian Wu, Song-Chun Zhu, Siyuan Huang

CoRR, 2022

Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation.

Zhizhou Ren, Anji Liu, Yitao Liang, Jian Peng, Jianzhu Ma

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

VineMap: a metaphor visualization method for public opinion hierarchy from text data.

Yajun Cui, Chenhui Li, Chen Chen, Yitao Liang, Yanpeng Hu, Changbo Wang

J. Vis., 2021

Towards an Interpretable Latent Space in Structured Models for Video Prediction.

Rushil Gupta, Vishal Sharma, Yash Jain, Yitao Liang, Guy Van den Broeck, Parag Singla

CoRR, 2021

An electrochemical immunosensor for global DNA methylation determination using magnetic bead-based enrichment and enzymatic amplification.

Yitao Liang, Bin Zhang, Zexin Xue, Xuesong Ye, Bo Liang

Proceedings of the 2021 IEEE Sensors, Sydney, Australia, October 31 - Nov. 3, 2021, 2021

Juice: A Julia Package for Logic and Probabilistic Circuits.

Meihua Dang, Pasha Khosravi, Yitao Liang, Antonio Vergari, Guy Van den Broeck

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Semantic and Generalized Entropy Loss Functions for Semi-Supervised Deep Learning.

Krzysztof Gajowniczek, Yitao Liang, Tal Friedman, Tomasz Zabkowski, Guy Van den Broeck

Entropy, 2020

Handling Missing Data in Decision Trees: A Probabilistic Approach.

Pasha Khosravi, Antonio Vergari, YooJung Choi, Yitao Liang, Guy Van den Broeck

CoRR, 2020

On Effective Parallelization of Monte Carlo Tree Search.

Anji Liu, Yitao Liang, Ji Liu, Guy Van den Broeck, Jianshu Chen

CoRR, 2020

Au nanoflowers modified magnetic and flexible biosensor for bisulfite-free HCC global DNA methylation detection.

Bobo Huang, Yitao Liang, Bin Zhang, Qingpeng Cao, Tingting Tu, Xuesong Ye, Bo Liang

Proceedings of the 2020 IEEE Sensors, Rotterdam, The Netherlands, October 25-28, 2020, 2020

SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning.

Albert Zhao, Tong He, Yitao Liang, Haibin Huang, Guy Van den Broeck, Stefano Soatto

Proceedings of the 4th Conference on Robot Learning, 2020

Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration.

Anji Liu, Yitao Liang, Guy Van den Broeck

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

LaTeS: Latent Space Distillation for Teacher-Student Driving Policy Learning.

Albert Zhao, Tong He, Yitao Liang, Haibin Huang, Guy Van den Broeck, Stefano Soatto

CoRR, 2019

On Tractable Computation of Expected Predictions.

Pasha Khosravi, YooJung Choi, Yitao Liang, Antonio Vergari, Guy Van den Broeck

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

What to Expect of Classifiers? Reasoning about Logistic Regression with Missing Features.

Pasha Khosravi, Yitao Liang, YooJung Choi, Guy Van den Broeck

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

A 3D Pt nanoflowers decorated micro-needle tip for in situ detection of cellular ATP release.

Qin Zhu, Yitao Liang, Lin Ji, Yu Cai, Hangxu Ren, Lu Fang, Xiao Liang, Xuesong Ye, Bo Liang

Proceedings of the 2019 IEEE SENSORS, Montreal, QC, Canada, October 27-30, 2019, 2019

Learning Logistic Circuits.

Yitao Liang, Guy Van den Broeck

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Horizon: Facebook's Open Source Applied Reinforcement Learning Platform.

Jason Gauci, Edoardo Conti, Yitao Liang, Kittipat Virochsiri, Yuchen He, Zachary Kaden, Vivek Narayanan, Xiaohui Ye

CoRR, 2018

Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing.

Zehong Hu, Yitao Liang, Yang Liu, Jie Zhang

CoRR, 2018

Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing.

Zehong Hu, Yitao Liang, Jie Zhang, Zhao Li, Yang Liu

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Semantic Loss Function for Deep Learning with Symbolic Knowledge.

Jingyi Xu, Zilu Zhang, Tal Friedman, Yitao Liang, Guy Van den Broeck

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

An application of optimization method for storyline based on cluster analysis.

Yuhua Liu, Hanfei Lin, Yitao Liang, Changbo Wang

Proceedings of the 10th International Symposium on Visual Information Communication and Interaction, 2017

Learning the Structure of Probabilistic Sentential Decision Diagrams.

Yitao Liang, Jessa Bekker, Guy Van den Broeck

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

2016

State of the Art Control of Atari Games Using Shallow Reinforcement Learning.

Yitao Liang, Marlos C. Machado, Erik Talvitie, Michael H. Bowling

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016