State of the Art Control of Atari Games Using Shallow Reinforcement Learning. - Yitao Liang; Marlos C. Machado; Erik Talvitie; Michael H. Bowling (AAMAS, 2016)

Learning the Structure of Probabilistic Sentential Decision Diagrams. - Yitao Liang; Jessa Bekker; Guy Van den Broeck (UAI, 2017)

An application of optimization method for storyline based on cluster analysis. - Yuhua Liu; Hanfei Lin; Yitao Liang; Changbo Wang (VINCI, 2017)

A Semantic Loss Function for Deep Learning with Symbolic Knowledge. - Jingyi Xu; Zilu Zhang; Tal Friedman; Yitao Liang; Guy Van den Broeck (ICML, 2018)

Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing. - Zehong Hu; Yitao Liang; Jie Zhang 002; Zhao Li 007; Yang Liu 018 (NeurIPS, 2018)

Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing. - Zehong Hu; Yitao Liang; Yang Liu 018; Jie Zhang 002 (CoRR, 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)

Learning Logistic Circuits. - Yitao Liang; Guy Van den Broeck (AAAI, 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 015; Hangxu Ren; Lu Fang; Xiao Liang; Xuesong Ye; Bo Liang (IEEE SENSORS, 2019)

What to Expect of Classifiers? Reasoning about Logistic Regression with Missing Features. - Pasha Khosravi; Yitao Liang; YooJung Choi 001; Guy Van den Broeck (IJCAI, 2019)

On Tractable Computation of Expected Predictions. - Pasha Khosravi; YooJung Choi 001; Yitao Liang; Antonio Vergari; Guy Van den Broeck (NeurIPS, 2019)

LaTeS: Latent Space Distillation for Teacher-Student Driving Policy Learning. - Albert Zhao; Tong He 002; Yitao Liang; Haibin Huang; Guy Van den Broeck; Stefano Soatto (CoRR, 2019)

Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration. - Anji Liu; Yitao Liang; Guy Van den Broeck (AAMAS, 2020)

SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning. - Albert Zhao; Tong He 002; Yitao Liang; Haibin Huang; Guy Van den Broeck; Stefano Soatto (CoRL, 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 (IEEE SENSORS, 2020)

On Effective Parallelization of Monte Carlo Tree Search. - Anji Liu; Yitao Liang; Ji Liu; Guy Van den Broeck; Jianshu Chen (CoRR, 2020)

Handling Missing Data in Decision Trees: A Probabilistic Approach. - Pasha Khosravi; Antonio Vergari; YooJung Choi 001; Yitao Liang; Guy Van den Broeck (CoRR, 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)

Juice: A Julia Package for Logic and Probabilistic Circuits. - Meihua Dang; Pasha Khosravi; Yitao Liang; Antonio Vergari; Guy Van den Broeck (AAAI, 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 (IEEE SENSORS, 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)

VineMap: a metaphor visualization method for public opinion hierarchy from text data. - Yajun Cui; Chenhui Li 001; Chen Chen; Yitao Liang; Yanpeng Hu; Changbo Wang (J. Vis., 2021)

Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation. - Zhizhou Ren; Anji Liu; Yitao Liang; Jian Peng 001; Jianzhu Ma (NeurIPS, 2022)

RulE: Neural-Symbolic Knowledge Graph Reasoning with Rule Embedding. - Xiaojuan Tang; Song-Chun Zhu; Yitao Liang; Muhan Zhang (CoRR, 2022)

Out-of-Distribution Generalization by Neural-Symbolic Joint Training. - Anji Liu; Hongming Xu 003; Guy Van den Broeck; Yitao Liang (AAAI, 2023)

Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction. - Shaofei Cai; Zihao Wang; Xiaojian Ma 001; Anji Liu; Yitao Liang (CVPR, 2023)

SQA3D: Situated Question Answering in 3D Scenes. - Xiaojian Ma 001; Silong Yong; Zilong Zheng; Qing Li 003; Yitao Liang; Song-Chun Zhu; Siyuan Huang 001 (ICLR, 2023)

Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits. - Xuejie Liu; Anji Liu; Guy Van den Broeck; Yitao Liang (ICML, 2023)

Describe, Explain, Plan and Select: Interactive Planning with LLMs Enables Open-World Multi-Task Agents. - Zihao Wang; Shaofei Cai; Guanzhou Chen 003; Anji Liu; Xiaojian Ma 001; Yitao Liang (NeurIPS, 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 001; Yitao Liang (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)

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; et al. (CoRR, 2023)

MCU: A Task-centric Framework for Open-ended Agent Evaluation in Minecraft. - Haowei Lin; Zihao Wang; Jianzhu 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)

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 (Compendium of Neurosymbolic Artificial Intelligence, 2023)

Effective long-term tracking with contrast optimizer. - Yongbo Han; Yitao Liang (Mach. Vis. Appl., 2023)

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; et al. (AAAI, 2024)

RulE: Knowledge Graph Reasoning with Rule Embedding. - Xiaojuan Tang; Song-Chun Zhu; Yitao Liang; Muhan Zhang (ACL (Findings), 2024)

Neural-Symbolic Recursive Machine for Systematic Generalization. - Qing Li 003; Yixin Zhu 001; Yitao Liang; Ying Nian Wu; Song-Chun Zhu; Siyuan Huang 001 (ICLR, 2024)

GROOT: Learning to Follow Instructions by Watching Gameplay Videos. - Shaofei Cai; Bowei Zhang 007; Zihao Wang; Xiaojian Ma 001; Anji Liu; Yitao Liang (ICLR, 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 001; James Zou 001; Yitao Liang (ICML, 2024)

A Tractable Inference Perspective of Offline RL. - Xuejie Liu; Anji Liu; Guy Van den Broeck; Yitao Liang (NeurIPS, 2024)

Mars: Situated Inductive Reasoning in an Open-World Environment. - Xiaojuan Tang; Jiaqi Li; Yitao Liang; Song-Chun Zhu; Muhan Zhang; Zilong Zheng (NeurIPS, 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 003; Anji Liu; Xiaojian (Shawn) Ma; Yitao Liang (NeurIPS, 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 (NeurIPS, 2024)

DIGIC: Domain Generalizable Imitation Learning by Causal Discovery. - Yang Chen; Yitao Liang; Zhouchen Lin (CoRR, 2024)

RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation. - Zihao Wang; Anji Liu; Haowei Lin; Jiaqi Li; Xiaojian Ma 001; 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)

CLoG: Benchmarking Continual Learning of Image Generation Models. - Haotian Zhang; Junting Zhou; Haowei Lin; Hang Ye 002; Jianhua Zhu; Zihao Wang; Liangcai Gao; Yizhou Wang 001; Yitao Liang (CoRR, 2024)

QCircuitNet: A Large-Scale Hierarchical Dataset for Quantum Algorithm Design. - Rui Yang; Yuntian Gu; Ziruo Wang; Yitao Liang; Tongyang Li (CoRR, 2024)

Low-Dimension-to-High-Dimension Generalization And Its Implications for Length Generalization. - Yang Chen; Yitao Liang; Zhouchen Lin (CoRR, 2024)

ROCKET-1: Master Open-World Interaction with Visual-Temporal Context Prompting. - Shaofei Cai; Zihao Wang; Kewei Lian; Zhancun Mu; Xiaojian Ma 001; Anji Liu; Yitao Liang (CoRR, 2024)

Optimizing Latent Goal by Learning from Trajectory Preference. - Guangyu Zhao; Kewei Lian; Haowei Lin; Haobo Fu; Qiang Fu 016; Shaofei Cai; Zihao Wang; Yitao Liang (CoRR, 2024)

GROOT-2: Weakly Supervised Multi-Modal Instruction Following Agents. - Shaofei Cai; Bowei Zhang 007; Zihao Wang; Haowei Lin; Xiaojian Ma 001; Anji Liu; Yitao Liang (CoRR, 2024)

Proposing and solving olympiad geometry with guided tree search. - Chi Zhang 017; Jiajun Song; Siyu Li; Yitao Liang; Yuxi Ma; Wei Wang 115; Yixin Zhu 001; Song-Chun Zhu (CoRR, 2024)

MineStudio: A Streamlined Package for Minecraft AI Agent Development. - Shaofei Cai; Zhancun Mu; Kaichen He; Bowei Zhang 007; Xinyue Zheng; Anji Liu; Yitao Liang (CoRR, 2024)

Quantification of Large Language Model Distillation. - Sunbowen Lee; Junting Zhou; Chang Ao; Kaige Li; Xeron Du; Sirui He; Haihong Wu; Tianci Liu 011; Jiaheng Liu; Hamid Alinejad-Rokny; Min Yang 007; Yitao Liang; et al. (ACL (1), 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 001; Yitao Liang (ACL (Findings), 2025)

ROCKET-1: Mastering Open-World Interaction with Visual-Temporal Context Prompting. - Shaofei Cai; Zihao Wang; Kewei Lian; Zhancun Mu; Xiaojian Ma 001; Anji Liu; Yitao Liang (CVPR, 2025)

GROOT-2: Weakly Supervised Multimodal Instruction Following Agents. - Shaofei Cai; Bowei Zhang 007; Zihao Wang; Haowei Lin; Xiaojian Ma 001; Anji Liu; Yitao Liang (ICLR, 2025)

TFG-Flow: Training-free Guidance in Multimodal Generative Flow. - Haowei Lin; Shanda Li; Haotian Ye; Yiming Yang; Stefano Ermon; Yitao Liang; Jianzhu Ma (ICLR, 2025)

37.5 SKADI: A 28nm Complete K-SAT Solver Featuring Dual-Path SRAM-Based Macro and Incremental Update with 100% Solvability. - Zihan Wu 005; Xiyuan Tang; Tao Zhang; Lishan Lin; Haoyang Luo; Bocheng Xu; Zhongyi Wu; Jiahao Song; Yitao Liang; Xiaochen Bo; Yuan Wang 001 (ISSCC, 2025)

Tractable Transformers for Flexible Conditional Generation. - Anji Liu; Xuejie Liu; Dayuan Zhao; Mathias Niepert; Yitao Liang; Guy Van den Broeck (CoRR, 2025)

DexGraspVLA: A Vision-Language-Action Framework Towards General Dexterous Grasping. - Yifan Zhong; Xuchuan Huang; Ruochong Li; Ceyao Zhang; Yitao Liang; Yaodong Yang 001; Yuanpei Chen (CoRR, 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., 2025)

ROCKET-2: Steering Visuomotor Policy via Cross-View Goal Alignment. - Shaofei Cai; Zhancun Mu; Anji Liu; Yitao Liang (CoRR, 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, 2025)

Open-World Skill Discovery from Unsegmented Demonstrations. - Jingwen Deng; Zihao Wang; Shaofei Cai; Anji Liu; Yitao Liang (CoRR, 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 007; Haowei Lin; Zhaofeng He; Zilong Zheng; Yaodong Yang 001; Xiaojian Ma 001; Yitao Liang (IEEE Trans. Pattern Anal. Mach. Intell., 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 001; Jianzhu Ma; Yitao Liang (CoRR, 2025)

Redefining Superalignment: From Weak-to-Strong Alignment to Human-AI Co-Alignment to Sustainable Symbiotic Society. - Yi Zeng 001; Feifei Zhao; Yuwei Wang; Enmeng Lu; Yaodong Yang 001; Lei Wang; Chao Liu; Yitao Liang; Dongcheng Zhao; Bing Han 010; Haibo Tong; Yao Liang; et al. (CoRR, 2025)

Plug-and-Play Context Feature Reuse for Efficient Masked Generation. - Xuejie Liu; Anji Liu; Guy Van den Broeck; Yitao Liang (CoRR, 2025)

Toward Memory-Aided World Models: Benchmarking via Spatial Consistency. - Kewei Lian; Shaofei Cai; Yilun Du; Yitao Liang (CoRR, 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, 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; et al. (CoRR, 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; et al. (CoRR, 2025)

EvoSLD: Automated Neural Scaling Law Discovery With Large Language Models. - Haowei Lin; Xiangyu Wang; Jianzhu Ma; Yitao Liang (CoRR, 2025)

Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents. - Shaofei Cai; Zhancun Mu; Haiwen Xia; Bowei Zhang 007; Anji Liu; Yitao Liang (CoRR, 2025)

Underwater images enhancement using contrast limited adaptive parameter settings histogram equalization. - Yahui Chen; Yitao Liang (Multim. Tools Appl., 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., 2025)