Yitao Liang

According to our database, Yitao Liang authored at least 80 papers between 2016 and 2025.

Collaborative distances:

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

2025

CELAT-DiffNet: channel-enhanced local attention transformer for underwater image enhancement based on diffusion models.

Jiale Wang, Yitao Liang, Xuxu Yang, Mengjuan Zhao, Juan Xia

J. Supercomput., August, 2025

Underwater images enhancement using contrast limited adaptive parameter settings histogram equalization.

Yahui Chen, Yitao Liang

Multim. Tools Appl., July, 2025

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents.

Shaofei Cai, Zhancun Mu, Haiwen Xia, Bowei Zhang, Anji Liu, Yitao Liang

CoRR, July, 2025

EvoSLD: Automated Neural Scaling Law Discovery With Large Language Models.

Haowei Lin, Xiangyu Wang, Jianzhu Ma, Yitao Liang

CoRR, July, 2025

A Survey on Vision-Language-Action Models: An Action Tokenization Perspective.

Yifan Zhong, Fengshuo Bai, Shaofei Cai, Xuchuan Huang, Zhang Chen, Xiaowei Zhang, Yuanfei Wang, Shaoyang Guo, Tianrui Guan, Ka Nam Lui, Zhiquan Qi, Yitao Liang, Yuanpei Chen, Yaodong Yang

CoRR, July, 2025

SciDA: Scientific Dynamic Assessor of LLMs.

Junting Zhou, Tingjia Miao, Yiyan Liao, Qichao Wang, Zhoufutu Wen, Yanqin Wang, Yunjie Huang, Ge Yan, Leqi Wang, Yucheng Xia, Hongwan Gao, Yuansong Zeng, Renjie Zheng, Chen Dun, Yitao Liang, Tong Yang, Wenhao Huang, Ge Zhang

CoRR, June, 2025

Inference-time Scaling of Diffusion Models through Classical Search.

Xiangcheng Zhang, Haowei Lin, Haotian Ye, James Y. Zou, Jianzhu Ma, Yitao Liang, Yilun Du

CoRR, May, 2025

Toward Memory-Aided World Models: Benchmarking via Spatial Consistency.

Kewei Lian, Shaofei Cai, Yilun Du, Yitao Liang

CoRR, May, 2025

Plug-and-Play Context Feature Reuse for Efficient Masked Generation.

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

CoRR, May, 2025

Redefining Superalignment: From Weak-to-Strong Alignment to Human-AI Co-Alignment to Sustainable Symbiotic Society.

Yi Zeng, Feifei Zhao, Yuwei Wang, Enmeng Lu, Yaodong Yang, Lei Wang, Chao Liu, Yitao Liang, Dongcheng Zhao, Bing Han, Haibo Tong, Yao Liang, Dongqi Liang, Kang Sun, Boyuan Chen, Jinyu Fan

CoRR, April, 2025

Generative Evaluation of Complex Reasoning in Large Language Models.

Haowei Lin, Xiangyu Wang, Ruilin Yan, Baizhou Huang, Haotian Ye, Jianhua Zhu, Zihao Wang, James Zou, Jianzhu Ma, Yitao Liang

CoRR, April, 2025

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

IEEE Trans. Pattern Anal. Mach. Intell., March, 2025

Open-World Skill Discovery from Unsegmented Demonstrations.

Jingwen Deng, Zihao Wang, Shaofei Cai, Anji Liu, Yitao Liang

CoRR, March, 2025

A Neural Symbolic Model for Space Physics.

Jie Ying, Haowei Lin, Chao Yue, Yajie Chen, Chao Xiao, Quanqi Shi, Yitao Liang, Shing-Tung Yau, Yuan Zhou, Jianzhu Ma

CoRR, March, 2025

ROCKET-2: Steering Visuomotor Policy via Cross-View Goal Alignment.

Shaofei Cai, Zhancun Mu, Anji Liu, Yitao Liang

CoRR, March, 2025

MDFF-Net: Multi-level Dynamic Feature Fusion Network Combined with Deep Supervision Mechanism for Low-Light Image Enhancement.

Xuxu Yang, Yitao Liang, Degang Xu, Bin Li, Juan Xia, Lan Li

Circuits Syst. Signal Process., February, 2025

DexGraspVLA: A Vision-Language-Action Framework Towards General Dexterous Grasping.

Yifan Zhong, Xuchuan Huang, Ruochong Li, Ceyao Zhang, Yitao Liang, Yaodong Yang, Yuanpei Chen

CoRR, February, 2025

Tractable Transformers for Flexible Conditional Generation.

Anji Liu, Xuejie Liu, Dayuan Zhao, Mathias Niepert, Yitao Liang, Guy Van den Broeck

CoRR, February, 2025

37.5 SKADI: A 28nm Complete K-SAT Solver Featuring Dual-Path SRAM-Based Macro and Incremental Update with 100% Solvability.

Zihan Wu, Xiyuan Tang, Tao Zhang, Lishan Lin, Haoyang Luo, Bocheng Xu, Zhongyi Wu, Jiahao Song, Yitao Liang, Xiaochen Bo, Yuan Wang

Proceedings of the IEEE International Solid-State Circuits Conference, 2025

TFG-Flow: Training-free Guidance in Multimodal Generative Flow.

Haowei Lin, Shanda Li, Haotian Ye, Yiming Yang, Stefano Ermon, Yitao Liang, Jianzhu Ma

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

GROOT-2: Weakly Supervised Multimodal Instruction Following Agents.

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

ROCKET-1: Mastering Open-World Interaction with Visual-Temporal Context Prompting.

Shaofei Cai, Zihao Wang, Kewei Lian, Zhancun Mu, Xiaojian Ma, Anji Liu, Yitao Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

JARVIS-VLA: Post-Training Large-Scale Vision Language Models to Play Visual Games with Keyboards and Mouse.

Muyao Li, Zihao Wang, Kaichen He, Xiaojian Ma, Yitao Liang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Quantification of Large Language Model Distillation.

Sunbowen Lee, Junting Zhou, Chang Ao, Kaige Li, Xeron Du, Sirui He, Haihong Wu, Tianci Liu, Jiaheng Liu, Hamid Alinejad-Rokny, Min Yang, Yitao Liang, Zhoufutu Wen, Shiwen Ni

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

MineStudio: A Streamlined Package for Minecraft AI Agent Development.

Shaofei Cai, Zhancun Mu, Kaichen He, Bowei Zhang, Xinyue Zheng, Anji Liu, Yitao Liang

CoRR, 2024

Proposing and solving olympiad geometry with guided tree search.

Chi Zhang, Jiajun Song, Siyu Li, Yitao Liang, Yuxi Ma, Wei Wang, Yixin Zhu, Song-Chun Zhu

CoRR, 2024

GROOT-2: Weakly Supervised Multi-Modal Instruction Following Agents.

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

CoRR, 2024

Optimizing Latent Goal by Learning from Trajectory Preference.

Guangyu Zhao, Kewei Lian, Haowei Lin, Haobo Fu, Qiang Fu, Shaofei Cai, Zihao Wang, Yitao Liang

CoRR, 2024

ROCKET-1: Master Open-World Interaction with Visual-Temporal Context Prompting.

Shaofei Cai, Zihao Wang, Kewei Lian, Zhancun Mu, Xiaojian Ma, Anji Liu, Yitao Liang

CoRR, 2024

Low-Dimension-to-High-Dimension Generalization And Its Implications for Length Generalization.

Yang Chen, Yitao Liang, Zhouchen Lin

CoRR, 2024

QCircuitNet: A Large-Scale Hierarchical Dataset for Quantum Algorithm Design.

Rui Yang, Yuntian Gu, Ziruo Wang, Yitao Liang, Tongyang Li

CoRR, 2024

CLoG: Benchmarking Continual Learning of Image Generation Models.

Haotian Zhang, Junting Zhou, Haowei Lin, Hang Ye, Jianhua Zhu, Zihao Wang, Liangcai Gao, Yizhou Wang, Yitao Liang

CoRR, 2024

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

CoRR, 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

TFG: Unified Training-Free Guidance for Diffusion Models.

Haotian Ye, Haowei Lin, Jiaqi Han, Minkai Xu, Sheng Liu, Yitao Liang, Jianzhu Ma, James Y. Zou, Stefano Ermon

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents.

Zihao Wang, Shaofei Cai, Zhancun Mu, Haowei Lin, Ceyao Zhang, Xuejie Liu, Qing Li, Anji Liu, Xiaojian (Shawn) Ma, Yitao Liang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Mars: Situated Inductive Reasoning in an Open-World Environment.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

A Tractable Inference Perspective of Offline RL.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

GROOT: Learning to Follow Instructions by Watching Gameplay Videos.

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Neural-Symbolic Recursive Machine for Systematic Generalization.

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

RulE: Knowledge Graph Reasoning with Rule Embedding.

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

Proceedings of the Findings of the Association for Computational Linguistics, 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

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

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

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 S. 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