Balance gate controlled deep neural network. - Anji Liu; Yuanjun Laili (Neurocomputing, 2018)

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

Watch the Unobserved: A Simple Approach to Parallelizing Monte Carlo Tree Search. - Anji Liu; Jianshu Chen; Mingze Yu; Yu Zhai; Xuewen Zhou; Ji Liu (ICLR, 2020)

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

Tractable Regularization of Probabilistic Circuits. - Anji Liu; Guy Van den Broeck (NeurIPS, 2021)

A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference. - Antonio Vergari; YooJung Choi 001; Anji Liu; Stefano Teso; Guy Van den Broeck (NeurIPS, 2021)

A Compositional Atlas of Tractable Circuit Operations: From Simple Transformations to Complex Information-Theoretic Queries. - Antonio Vergari; YooJung Choi 001; Anji Liu; Stefano Teso; Guy Van den Broeck (CoRR, 2021)

Lossless Compression with Probabilistic Circuits. - Anji Liu; Stephan Mandt; Guy Van den Broeck (ICLR, 2022)

Sparse Probabilistic Circuits via Pruning and Growing. - Meihua Dang; Anji Liu; Guy Van den Broeck (NeurIPS, 2022)

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

Tractable and Expressive Generative Models of Genetic Variation Data. - Meihua Dang; Anji Liu; Xinzhu Wei; Sriram Sankararaman; Guy Van den Broeck (RECOMB, 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)

Scaling Up Probabilistic Circuits by Latent Variable Distillation. - Anji Liu; Honghua Zhang; Guy Van den Broeck (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)

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)

Expressive Modeling Is Insufficient for Offline RL: A Tractable Inference Perspective. - Xuejie Liu; Anji Liu; Guy Van den Broeck; Yitao Liang (CoRR, 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)

Combining Supervised Learning and Reinforcement Learning for Multi-Label Classification Tasks with Partial Labels. - Zixia Jia; Junpeng Li; Shichuan Zhang; Anji Liu; Zilong Zheng (ACL (1), 2024)

Smart Help: Strategic Opponent Modeling for Proactive and Adaptive Robot Assistance in Households. - Zhihao Cao; Zidong Wang 011; Siwen Xie; Anji Liu; Lifeng Fan (CVPR, 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)

Image Inpainting via Tractable Steering of Diffusion Models. - Anji Liu; Mathias Niepert; Guy Van den Broeck (ICLR, 2024)

Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning. - Yizhe Huang; Anji Liu; Fanqi Kong; Yaodong Yang 001; Song-Chun Zhu; Xue Feng (ICML, 2024)

Scaling Tractable Probabilistic Circuits: A Systems Perspective. - Anji Liu; Kareem Ahmed; Guy Van den Broeck (ICML, 2024)

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

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)

Learning to Discretize Denoising Diffusion ODEs. - Vinh Tong; Anji Liu; Trung-Dung Hoang; Guy Van den Broeck; Mathias Niepert (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)

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)

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)

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)

Enhancing and Evaluating Probabilistic Circuits for High-Resolution Lossless Image Compression. - Daniel Severo 001; Jingtong Su; Anji Liu; Jeff Johnson; Brian Karrer; Guy Van den Broeck; Matthew J. Muckley; Karen Ullrich (DCC, 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)

Discrete Copula Diffusion. - Anji Liu; Oliver Broadrick; Mathias Niepert; Guy Van den Broeck (ICLR, 2025)

Learning to Discretize Denoising Diffusion ODEs. - Vinh Tong; Dung-Trung Hoang; Anji Liu; Guy Van den Broeck; Mathias Niepert (ICLR, 2025)

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

Symmetry-Preserving Diffusion Models via Target Symmetrization. - Vinh Tong; Yun Ye; Trung-Dung Hoang; Anji Liu; Guy Van den Broeck; Mathias Niepert (CoRR, 2025)

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

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

Rethinking Probabilistic Circuit Parameter Learning. - Anji Liu; Guy Van den Broeck (CoRR, 2025)

Mitigating Reward Over-optimization in Direct Alignment Algorithms with Importance Sampling. - Phuc Minh Nguyen; Ngoc-Hieu Nguyen; Duy H. M. Nguyen; Anji Liu; An Mai; Binh T. Nguyen 001; Daniel Sonntag; Khoa D. Doan (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)

Zero-Variance Gradients for Variational Autoencoders. - Zilei Shao; Anji Liu; Guy Van den Broeck (CoRR, 2025)