| 2026 | AAAI | Steering Visuomotor Policy in Open Worlds via Cross-View Goal Alignment. | Shaofei Cai, Zhancun Mu, Anji Liu, Yitao Liang |
| 2026 | HPCA | ESTroM: Element-Flow Architecture for Processing Sparse Tractable Probabilistic Models. | Anjunyi Fan, Xuejie Liu, Anji Liu, Qiuping Wu, Jiaqi Yang, Yuchao Qin, Guy Van den Broeck, Yitao Liang, Bonan Yan |
| 2025 | CVPR | 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 |
| 2025 | DCC | Enhancing and Evaluating Probabilistic Circuits for High-Resolution Lossless Image Compression. | Daniel Severo, Jingtong Su, Anji Liu, Jeff Johnson, Brian Karrer, Guy Van den Broeck, Matthew J. Muckley, Karen Ullrich |
| 2025 | ICCV | Open-World Skill Discovery from Unsegmented Demonstration Videos. | Jingwen Deng, Zihao Wang, Shaofei Cai, Anji Liu, Yitao Liang |
| 2025 | ICLR | GROOT-2: Weakly Supervised Multimodal Instruction Following Agents. | Shaofei Cai, Bowei Zhang, Zihao Wang, Haowei Lin, Xiaojian Ma, Anji Liu, Yitao Liang |
| 2025 | ICLR | Discrete Copula Diffusion. | Anji Liu, Oliver Broadrick, Mathias Niepert, Guy Van den Broeck |
| 2025 | ICLR | Learning to Discretize Denoising Diffusion ODEs. | Vinh Tong, Dung-Trung Hoang, Anji Liu, Guy Van den Broeck, Mathias Niepert |
| 2025 | ICML | Tractable Transformers for Flexible Conditional Generation. | Anji Liu, Xuejie Liu, Dayuan Zhao, Mathias Niepert, Yitao Liang, Guy Van den Broeck |
| 2024 | AAAI | 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 |
| 2024 | ACL | Combining Supervised Learning and Reinforcement Learning for Multi-Label Classification Tasks with Partial Labels. | Zixia Jia, Junpeng Li, Shichuan Zhang, Anji Liu, Zilong Zheng |
| 2024 | CVPR | Smart Help: Strategic Opponent Modeling for Proactive and Adaptive Robot Assistance in Households. | Zhihao Cao, Zidong Wang, Siwen Xie, Anji Liu, Lifeng Fan |
| 2024 | ICLR | GROOT: Learning to Follow Instructions by Watching Gameplay Videos. | Shaofei Cai, Bowei Zhang, Zihao Wang, Xiaojian Ma, Anji Liu, Yitao Liang |
| 2024 | ICLR | Image Inpainting via Tractable Steering of Diffusion Models. | Anji Liu, Mathias Niepert, Guy Van den Broeck |
| 2024 | ICML | Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning. | Yizhe Huang, Anji Liu, Fanqi Kong, Yaodong Yang, Song-Chun Zhu, Xue Feng |
| 2024 | ICML | Scaling Tractable Probabilistic Circuits: A Systems Perspective. | Anji Liu, Kareem Ahmed, Guy Van den Broeck |
| 2023 | AAAI | Out-of-Distribution Generalization by Neural-Symbolic Joint Training. | Anji Liu, Hongming Xu, Guy Van den Broeck, Yitao Liang |
| 2023 | CVPR | Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction. | Shaofei Cai, Zihao Wang, Xiaojian Ma, Anji Liu, Yitao Liang |
| 2023 | ICLR | Scaling Up Probabilistic Circuits by Latent Variable Distillation. | Anji Liu, Honghua Zhang, Guy Van den Broeck |
| 2023 | ICML | Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits. | Xuejie Liu, Anji Liu, Guy Van den Broeck, Yitao Liang |
| 2022 | ICLR | Lossless Compression with Probabilistic Circuits. | Anji Liu, Stephan Mandt, Guy Van den Broeck |
| 2022 | RECOMB | Tractable and Expressive Generative Models of Genetic Variation Data. | Meihua Dang, Anji Liu, Xinzhu Wei, Sriram Sankararaman, Guy Van den Broeck |
| 2020 | ICLR | Watch the Unobserved: A Simple Approach to Parallelizing Monte Carlo Tree Search. | Anji Liu, Jianshu Chen, Mingze Yu, Yu Zhai, Xuewen Zhou, Ji Liu |