Yitao Liang

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 57

Top Topics

Cooperative Agents

Reinforcement Learning

Top Venues

Publications

Zihao Wang, Anji Liu, Haowei Lin, Jiaqi Li, Xiaojian Ma, Yitao Liang
RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation. CoRR (2024)
Zihao Wang, Shaofei Cai, Zhancun Mu, Haowei Lin, Ceyao Zhang, Xuejie Liu, Qing Li, Anji Liu, Xiaojian Ma, Yitao Liang
OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents. CoRR (2024)
Qing Li, Yixin Zhu, Yitao Liang, Ying Nian Wu, Song-Chun Zhu, Siyuan Huang
Neural-Symbolic Recursive Machine for Systematic Generalization. ICLR (2024)
Haotian Zhang, Junting Zhou, Haowei Lin, Hang Ye, Jianhua Zhu, Zihao Wang, Liangcai Gao, Yizhou Wang, Yitao Liang
CLoG: Benchmarking Continual Learning of Image Generation Models. CoRR (2024)
Haowei Lin, Baizhou Huang, Haotian Ye, Qinyu Chen, Zihao Wang, Sujian Li, Jianzhu Ma, Xiaojun Wan, James Zou, Yitao Liang
Selecting Large Language Model to Fine-tune via Rectified Scaling Law. CoRR (2024)
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
ProAgent: Building Proactive Cooperative Agents with Large Language Models. AAAI (2024)
Shaofei Cai, Bowei Zhang, Zihao Wang, Xiaojian Ma, Anji Liu, Yitao Liang
GROOT: Learning to Follow Instructions by Watching Gameplay Videos. ICLR (2024)
Xiaojuan Tang, Song-Chun Zhu, Yitao Liang, Muhan Zhang
RulE: Knowledge Graph Reasoning with Rule Embedding. ACL (Findings) (2024)
Yang Chen, Yitao Liang, Zhouchen Lin
DIGIC: Domain Generalizable Imitation Learning by Causal Discovery. CoRR (2024)
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
Semantic Loss Functions for Neuro-Symbolic Structured Prediction. CoRR (2024)
Shaofei Cai, Bowei Zhang, Zihao Wang, Xiaojian Ma, Anji Liu, Yitao Liang
GROOT: Learning to Follow Instructions by Watching Gameplay Videos. CoRR (2023)
Zihao Wang, Shaofei Cai, Anji Liu, Xiaojian Ma, Yitao Liang
Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents. CoRR (2023)
Xuejie Liu, Anji Liu, Guy Van den Broeck, Yitao Liang
Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits. ICML (2023)
Xiaojuan Tang, Zilong Zheng, Jiaqi Li, Fanxu Meng, Song-Chun Zhu, Yitao Liang, Muhan Zhang
Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners. CoRR (2023)
Zihao Wang, Shaofei Cai, Guanzhou Chen, Anji Liu, Xiaojian Ma, Yitao Liang
Describe, Explain, Plan and Select: Interactive Planning with LLMs Enables Open-World Multi-Task Agents. NeurIPS (2023)
Xuejie Liu, Anji Liu, Guy Van den Broeck, Yitao Liang
Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits. CoRR (2023)
Yongbo Han, Yitao Liang
Effective long-term tracking with contrast optimizer. Mach. Vis. Appl. 34 (4) (2023)
Xuejie Liu, Anji Liu, Guy Van den Broeck, Yitao Liang
Expressive Modeling Is Insufficient for Offline RL: A Tractable Inference Perspective. CoRR (2023)
Shaofei Cai, Zihao Wang, Xiaojian Ma, Anji Liu, Yitao Liang
Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction. CVPR (2023)
Shaofei Cai, Zihao Wang, Xiaojian Ma, Anji Liu, Yitao Liang
Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction. CoRR (2023)
Haowei Lin, Zihao Wang, Jianzhu Ma, Yitao Liang
MCU: A Task-centric Framework for Open-ended Agent Evaluation in Minecraft. CoRR (2023)
Xiaojian Ma, Silong Yong, Zilong Zheng, Qing Li, Yitao Liang, Song-Chun Zhu, Siyuan Huang
SQA3D: Situated Question Answering in 3D Scenes. ICLR (2023)
Anji Liu, Hongming Xu, Guy Van den Broeck, Yitao Liang
Out-of-Distribution Generalization by Neural-Symbolic Joint Training. AAAI (2023)
Zihao Wang, Shaofei Cai, Anji Liu, Yonggang Jin, Jinbing Hou, Bowei Zhang, Haowei Lin, Zhaofeng He, Zilong Zheng, Yaodong Yang, Xiaojian Ma, Yitao Liang
JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models. CoRR (2023)
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
ProAgent: Building Proactive Cooperative AI with Large Language Models. CoRR (2023)
Zhizhou Ren, Anji Liu, Yitao Liang, Jian Peng, Jianzhu Ma
Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation. NeurIPS (2022)
Xiaojuan Tang, Song-Chun Zhu, Yitao Liang, Muhan Zhang
RulE: Neural-Symbolic Knowledge Graph Reasoning with Rule Embedding. CoRR (2022)
Qing Li, Yixin Zhu, Yitao Liang, Ying Nian Wu, Song-Chun Zhu, Siyuan Huang
Neural-Symbolic Recursive Machine for Systematic Generalization. CoRR (2022)
Xiaojian Ma, Silong Yong, Zilong Zheng, Qing Li, Yitao Liang, Song-Chun Zhu, Siyuan Huang
SQA3D: Situated Question Answering in 3D Scenes. CoRR (2022)
Zhizhou Ren, Anji Liu, Yitao Liang, Jian Peng, Jianzhu Ma
Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation. CoRR (2022)
Yitao Liang, Bin Zhang, Zexin Xue, Xuesong Ye, Bo Liang
An electrochemical immunosensor for global DNA methylation determination using magnetic bead-based enrichment and enzymatic amplification. IEEE SENSORS (2021)
Rushil Gupta, Vishal Sharma, Yash Jain, Yitao Liang, Guy Van den Broeck, Parag Singla
Towards an Interpretable Latent Space in Structured Models for Video Prediction. CoRR (2021)
Meihua Dang, Pasha Khosravi, Yitao Liang, Antonio Vergari, Guy Van den Broeck
Juice: A Julia Package for Logic and Probabilistic Circuits. AAAI (2021)
Yajun Cui, Chenhui Li, Chen Chen, Yitao Liang, Yanpeng Hu, Changbo Wang
VineMap: a metaphor visualization method for public opinion hierarchy from text data. J. Vis. 24 (5) (2021)
Pasha Khosravi, Antonio Vergari, YooJung Choi, Yitao Liang, Guy Van den Broeck
Handling Missing Data in Decision Trees: A Probabilistic Approach. CoRR (2020)
Bobo Huang, Yitao Liang, Bin Zhang, Qingpeng Cao, Tingting Tu, Xuesong Ye, Bo Liang
Au nanoflowers modified magnetic and flexible biosensor for bisulfite-free HCC global DNA methylation detection. IEEE SENSORS (2020)
Anji Liu, Yitao Liang, Ji Liu, Guy Van den Broeck, Jianshu Chen
On Effective Parallelization of Monte Carlo Tree Search. CoRR (2020)
Anji Liu, Yitao Liang, Guy Van den Broeck
Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration. AAMAS (2020)
Albert Zhao, Tong He, Yitao Liang, Haibin Huang, Guy Van den Broeck, Stefano Soatto
SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning. CoRL (2020)
Krzysztof Gajowniczek, Yitao Liang, Tal Friedman, Tomasz Zabkowski, Guy Van den Broeck
Semantic and Generalized Entropy Loss Functions for Semi-Supervised Deep Learning. Entropy 22 (3) (2020)
Anji Liu, Yitao Liang, Guy Van den Broeck
Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration. CoRR (2020)
Albert Zhao, Tong He, Yitao Liang, Haibin Huang, Guy Van den Broeck, Stefano Soatto
LaTeS: Latent Space Distillation for Teacher-Student Driving Policy Learning. CoRR (2019)
Pasha Khosravi, Yitao Liang, YooJung Choi, Guy Van den Broeck
What to Expect of Classifiers? Reasoning about Logistic Regression with Missing Features. CoRR (2019)
Yitao Liang, Guy Van den Broeck
Learning Logistic Circuits. CoRR (2019)
Yitao Liang, Guy Van den Broeck
Learning Logistic Circuits. AAAI (2019)
Pasha Khosravi, YooJung Choi, Yitao Liang, Antonio Vergari, Guy Van den Broeck
On Tractable Computation of Expected Predictions. CoRR (2019)
Pasha Khosravi, YooJung Choi, Yitao Liang, Antonio Vergari, Guy Van den Broeck
On Tractable Computation of Expected Predictions. NeurIPS (2019)
Qin Zhu, Yitao Liang, Lin Ji, Yu Cai, Hangxu Ren, Lu Fang, Xiao Liang, Xuesong Ye, Bo Liang
A 3D Pt nanoflowers decorated micro-needle tip for in situ detection of cellular ATP release. IEEE SENSORS (2019)
Pasha Khosravi, Yitao Liang, YooJung Choi, Guy Van den Broeck
What to Expect of Classifiers? Reasoning about Logistic Regression with Missing Features. IJCAI (2019)
Jason Gauci, Edoardo Conti, Yitao Liang, Kittipat Virochsiri, Yuchen He, Zachary Kaden, Vivek Narayanan, Xiaohui Ye
Horizon: Facebook's Open Source Applied Reinforcement Learning Platform. CoRR (2018)
Jingyi Xu, Zilu Zhang, Tal Friedman, Yitao Liang, Guy Van den Broeck
A Semantic Loss Function for Deep Learning with Symbolic Knowledge. ICML (2018)
Zehong Hu, Yitao Liang, Yang Liu, Jie Zhang
Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing. CoRR (2018)
Zehong Hu, Yitao Liang, Jie Zhang, Zhao Li, Yang Liu
Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing. NeurIPS (2018)
Yitao Liang, Jessa Bekker, Guy Van den Broeck
Learning the Structure of Probabilistic Sentential Decision Diagrams. UAI (2017)
Yuhua Liu, Hanfei Lin, Yitao Liang, Changbo Wang
An application of optimization method for storyline based on cluster analysis. VINCI (2017)
Jingyi Xu, Zilu Zhang, Tal Friedman, Yitao Liang, Guy Van den Broeck
A Semantic Loss Function for Deep Learning with Symbolic Knowledge. CoRR (2017)
Yitao Liang, Marlos C. Machado, Erik Talvitie, Michael H. Bowling
State of the Art Control of Atari Games Using Shallow Reinforcement Learning. AAMAS (2016)
Yitao Liang, Marlos C. Machado, Erik Talvitie, Michael H. Bowling
State of the Art Control of Atari Games Using Shallow Reinforcement Learning. CoRR (2015)