Anji Liu - RankMe

74 papers A* 26A 1B 2Journal 44Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Breaking the Factorization Barrier in Diffusion Language Models. CoRR Ian Li, Zilei Shao, Benjie Wang, Rose Yu, Guy Van den Broeck, Anji Liu
2026	A*	`conf`	ESTroM: Element-Flow Architecture for Processing Sparse Tractable Probabilistic Models. HPCA Anjunyi Fan, Xuejie Liu, Anji Liu, Qiuping Wu, Jiaqi Yang, Yuchao Qin, Guy Van den Broeck, Yitao Liang, Bonan Yan
2026	J	`jnl`	Lookahead Path Likelihood Optimization for Diffusion LLMs. CoRR Xuejie Liu, Yap Vit Chun, Yitao Liang, Anji Liu
2026	A*	`conf`	Steering Visuomotor Policy in Open Worlds via Cross-View Goal Alignment. AAAI Shaofei Cai, Zhancun Mu, Anji Liu, Yitao Liang
2025	A*	`conf`	Discrete Copula Diffusion. ICLR Anji Liu, Oliver Broadrick, Mathias Niepert, Guy Van den Broeck
2025	B	`conf`	Enhancing and Evaluating Probabilistic Circuits for High-Resolution Lossless Image Compression. DCC Daniel Severo, Jingtong Su, Anji Liu, Jeff Johnson, Brian Karrer, Guy Van den Broeck, Matthew J. Muckley, Karen Ullrich
2025	A*	`conf`	GROOT-2: Weakly Supervised Multimodal Instruction Following Agents. ICLR Shaofei Cai, Bowei Zhang, Zihao Wang, Haowei Lin, Xiaojian Ma, Anji Liu, Yitao Liang
2025	J	`jnl`	JARVIS-1: Open-World Multi-Task Agents With Memory-Augmented Multimodal Language Models. IEEE Trans. Pattern Anal. Mach. Intell. Zihao Wang, Shaofei Cai, Anji Liu, Yonggang Jin, Jinbing Hou, Bowei Zhang, Haowei Lin, Zhaofeng He, Zilong Zheng, Yaodong Yang, Xiaojian Ma, Yitao Liang
2025	J	`jnl`	Learning Tractable Distributions Of Language Model Continuations. CoRR Gwen Yidou Weng, Ian Li, Anji Liu, Oliver Broadrick, Guy Van den Broeck, Benjie Wang
2025	A*	`conf`	Learning to Discretize Denoising Diffusion ODEs. ICLR Vinh Tong, Dung-Trung Hoang, Anji Liu, Guy Van den Broeck, Mathias Niepert
2025	J	`jnl`	Mitigating Reward Over-optimization in Direct Alignment Algorithms with Importance Sampling. CoRR Phuc Minh Nguyen, Ngoc-Hieu Nguyen, Duy H. M. Nguyen, Anji Liu, An Mai, Binh T. Nguyen, Daniel Sonntag, Khoa D. Doan
2025	J	`jnl`	Open-World Skill Discovery from Unsegmented Demonstrations. CoRR Jingwen Deng, Zihao Wang, Shaofei Cai, Anji Liu, Yitao Liang
2025	J	`jnl`	OpenHA: A Series of Open-Source Hierarchical Agentic Models in Minecraft. CoRR Zihao Wang, Muyao Li, Kaichen He, Xiangyu Wang, Zhancun Mu, Anji Liu, Yitao Liang
2025	J	`jnl`	Plug-and-Play Context Feature Reuse for Efficient Masked Generation. CoRR Xuejie Liu, Anji Liu, Guy Van den Broeck, Yitao Liang
2025	A*	`conf`	ROCKET-1: Mastering Open-World Interaction with Visual-Temporal Context Prompting. CVPR Shaofei Cai, Zihao Wang, Kewei Lian, Zhancun Mu, Xiaojian Ma, Anji Liu, Yitao Liang
2025	J	`jnl`	ROCKET-2: Steering Visuomotor Policy via Cross-View Goal Alignment. CoRR Shaofei Cai, Zhancun Mu, Anji Liu, Yitao Liang
2025	J	`jnl`	Rethinking Probabilistic Circuit Parameter Learning. CoRR Anji Liu, Guy Van den Broeck
2025	J	`jnl`	S-Chain: Structured Visual Chain-of-Thought For Medicine. CoRR Khai Le-Duc, Duy M. H. Nguyen, Phuong T. H. Trinh, Tien-Phat Nguyen, Nghiem Tuong Diep, An Ngo, Tung Vu, Trinh Vuong, Anh-Tien Nguyen, Mau Nguyen, Van Trung Hoang, Khai-Nguyen Nguyen, Hy Nguyen, Chris Ngo, Anji Liu, Nhat Ho, Anne-Christin Hauschild, Khanh Xuan Nguyen, Thanh Nguyen-Tang, Pengtao Xie, Daniel Sonntag, James Zou, Mathias Niepert, Anh Totti Nguyen
2025	J	`jnl`	Scalable Multi-Task Reinforcement Learning for Generalizable Spatial Intelligence in Visuomotor Agents. CoRR Shaofei Cai, Zhancun Mu, Haiwen Xia, Bowei Zhang, Anji Liu, Yitao Liang
2025	J	`jnl`	Symmetry-Preserving Diffusion Models via Target Symmetrization. CoRR Vinh Tong, Yun Ye, Trung-Dung Hoang, Anji Liu, Guy Van den Broeck, Mathias Niepert
2025	A*	`conf`	Tractable Transformers for Flexible Conditional Generation. ICML Anji Liu, Xuejie Liu, Dayuan Zhao, Mathias Niepert, Yitao Liang, Guy Van den Broeck
2025	J	`jnl`	Tractable Transformers for Flexible Conditional Generation. CoRR Anji Liu, Xuejie Liu, Dayuan Zhao, Mathias Niepert, Yitao Liang, Guy Van den Broeck
2025	J	`jnl`	Training One Model to Master Cross-Level Agentic Actions via Reinforcement Learning. CoRR Kaichen He, Zihao Wang, Muyao Li, Anji Liu, Yitao Liang
2025	J	`jnl`	Zero-Variance Gradients for Variational Autoencoders. CoRR Zilei Shao, Anji Liu, Guy Van den Broeck
2024	A*	`conf`	A Tractable Inference Perspective of Offline RL. NeurIPS Xuejie Liu, Anji Liu, Guy Van den Broeck, Yitao Liang
2024	—	`conf`	Combining Supervised Learning and Reinforcement Learning for Multi-Label Classification Tasks with Partial Labels. ACL (1) Zixia Jia, Junpeng Li, Shichuan Zhang, Anji Liu, Zilong Zheng
2024	J	`jnl`	Combining Supervised Learning and Reinforcement Learning for Multi-Label Classification Tasks with Partial Labels. CoRR Zixia Jia, Junpeng Li, Shichuan Zhang, Anji Liu, Zilong Zheng
2024	J	`jnl`	Discrete Copula Diffusion. CoRR Anji Liu, Oliver Broadrick, Mathias Niepert, Guy Van den Broeck
2024	A*	`conf`	Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning. ICML Yizhe Huang, Anji Liu, Fanqi Kong, Yaodong Yang, Song-Chun Zhu, Xue Feng
2024	J	`jnl`	Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning. CoRR Yizhe Huang, Anji Liu, Fanqi Kong, Yaodong Yang, Song-Chun Zhu, Xue Feng
2024	J	`jnl`	GROOT-2: Weakly Supervised Multi-Modal Instruction Following Agents. CoRR Shaofei Cai, Bowei Zhang, Zihao Wang, Haowei Lin, Xiaojian Ma, Anji Liu, Yitao Liang
2024	A*	`conf`	GROOT: Learning to Follow Instructions by Watching Gameplay Videos. ICLR Shaofei Cai, Bowei Zhang, Zihao Wang, Xiaojian Ma, Anji Liu, Yitao Liang
2024	A*	`conf`	Image Inpainting via Tractable Steering of Diffusion Models. ICLR Anji Liu, Mathias Niepert, Guy Van den Broeck
2024	J	`jnl`	Image Inpainting via Tractable Steering of Diffusion Models. CoRR Anji Liu, Mathias Niepert, Guy Van den Broeck
2024	J	`jnl`	Learning to Discretize Denoising Diffusion ODEs. CoRR Vinh Tong, Anji Liu, Trung-Dung Hoang, Guy Van den Broeck, Mathias Niepert
2024	J	`jnl`	MineStudio: A Streamlined Package for Minecraft AI Agent Development. CoRR Shaofei Cai, Zhancun Mu, Kaichen He, Bowei Zhang, Xinyue Zheng, Anji Liu, Yitao Liang
2024	A*	`conf`	OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents. NeurIPS Zihao Wang, Shaofei Cai, Zhancun Mu, Haowei Lin, Ceyao Zhang, Xuejie Liu, Qing Li, Anji Liu, Xiaojian (Shawn) Ma, Yitao Liang
2024	J	`jnl`	OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents. CoRR Zihao Wang, Shaofei Cai, Zhancun Mu, Haowei Lin, Ceyao Zhang, Xuejie Liu, Qing Li, Anji Liu, Xiaojian Ma, Yitao Liang
2024	A*	`conf`	ProAgent: Building Proactive Cooperative Agents with Large Language Models. AAAI 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	J	`jnl`	RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation. CoRR Zihao Wang, Anji Liu, Haowei Lin, Jiaqi Li, Xiaojian Ma, Yitao Liang
2024	J	`jnl`	ROCKET-1: Master Open-World Interaction with Visual-Temporal Context Prompting. CoRR Shaofei Cai, Zihao Wang, Kewei Lian, Zhancun Mu, Xiaojian Ma, Anji Liu, Yitao Liang
2024	A*	`conf`	Scaling Tractable Probabilistic Circuits: A Systems Perspective. ICML Anji Liu, Kareem Ahmed, Guy Van den Broeck
2024	J	`jnl`	Scaling Tractable Probabilistic Circuits: A Systems Perspective. CoRR Anji Liu, Kareem Ahmed, Guy Van den Broeck
2024	A*	`conf`	Smart Help: Strategic Opponent Modeling for Proactive and Adaptive Robot Assistance in Households. CVPR Zhihao Cao, Zidong Wang, Siwen Xie, Anji Liu, Lifeng Fan
2024	J	`jnl`	Smart Help: Strategic Opponent Modeling for Proactive and Adaptive Robot Assistance in Households. CoRR Zhihao Cao, Zidong Wang, Siwen Xie, Anji Liu, Lifeng Fan
2023	A*	`conf`	Describe, Explain, Plan and Select: Interactive Planning with LLMs Enables Open-World Multi-Task Agents. NeurIPS Zihao Wang, Shaofei Cai, Guanzhou Chen, Anji Liu, Xiaojian Ma, Yitao Liang
2023	J	`jnl`	Describe, Explain, Plan and Select: Interactive Planning with Large Language Models Enables Open-World Multi-Task Agents. CoRR Zihao Wang, Shaofei Cai, Anji Liu, Xiaojian Ma, Yitao Liang
2023	J	`jnl`	Expressive Modeling Is Insufficient for Offline RL: A Tractable Inference Perspective. CoRR Xuejie Liu, Anji Liu, Guy Van den Broeck, Yitao Liang
2023	J	`jnl`	GROOT: Learning to Follow Instructions by Watching Gameplay Videos. CoRR Shaofei Cai, Bowei Zhang, Zihao Wang, Xiaojian Ma, Anji Liu, Yitao Liang
2023	J	`jnl`	JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models. CoRR Zihao Wang, Shaofei Cai, Anji Liu, Yonggang Jin, Jinbing Hou, Bowei Zhang, Haowei Lin, Zhaofeng He, Zilong Zheng, Yaodong Yang, Xiaojian Ma, Yitao Liang
2023	A*	`conf`	Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction. CVPR Shaofei Cai, Zihao Wang, Xiaojian Ma, Anji Liu, Yitao Liang
2023	J	`jnl`	Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction. CoRR Shaofei Cai, Zihao Wang, Xiaojian Ma, Anji Liu, Yitao Liang
2023	A*	`conf`	Out-of-Distribution Generalization by Neural-Symbolic Joint Training. AAAI Anji Liu, Hongming Xu, Guy Van den Broeck, Yitao Liang
2023	J	`jnl`	ProAgent: Building Proactive Cooperative AI with Large Language Models. CoRR 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
2023	A*	`conf`	Scaling Up Probabilistic Circuits by Latent Variable Distillation. ICLR Anji Liu, Honghua Zhang, Guy Van den Broeck
2023	A*	`conf`	Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits. ICML Xuejie Liu, Anji Liu, Guy Van den Broeck, Yitao Liang
2023	J	`jnl`	Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits. CoRR Xuejie Liu, Anji Liu, Guy Van den Broeck, Yitao Liang
2022	A*	`conf`	Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation. NeurIPS Zhizhou Ren, Anji Liu, Yitao Liang, Jian Peng, Jianzhu Ma
2022	J	`jnl`	Efficient Meta Reinforcement Learning for Preference-based Fast Adaptation. CoRR Zhizhou Ren, Anji Liu, Yitao Liang, Jian Peng, Jianzhu Ma
2022	A*	`conf`	Lossless Compression with Probabilistic Circuits. ICLR Anji Liu, Stephan Mandt, Guy Van den Broeck
2022	J	`jnl`	Scaling Up Probabilistic Circuits by Latent Variable Distillation. CoRR Anji Liu, Honghua Zhang, Guy Van den Broeck
2022	A*	`conf`	Sparse Probabilistic Circuits via Pruning and Growing. NeurIPS Meihua Dang, Anji Liu, Guy Van den Broeck
2022	J	`jnl`	Sparse Probabilistic Circuits via Pruning and Growing. CoRR Meihua Dang, Anji Liu, Guy Van den Broeck
2022	B	`conf`	Tractable and Expressive Generative Models of Genetic Variation Data. RECOMB Meihua Dang, Anji Liu, Xinzhu Wei, Sriram Sankararaman, Guy Van den Broeck
2021	A*	`conf`	A Compositional Atlas of Tractable Circuit Operations for Probabilistic Inference. NeurIPS Antonio Vergari, YooJung Choi, Anji Liu, Stefano Teso, Guy Van den Broeck
2021	J	`jnl`	A Compositional Atlas of Tractable Circuit Operations: From Simple Transformations to Complex Information-Theoretic Queries. CoRR Antonio Vergari, YooJung Choi, Anji Liu, Stefano Teso, Guy Van den Broeck
2021	J	`jnl`	Lossless Compression with Probabilistic Circuits. CoRR Anji Liu, Stephan Mandt, Guy Van den Broeck
2021	A*	`conf`	Tractable Regularization of Probabilistic Circuits. NeurIPS Anji Liu, Guy Van den Broeck
2021	J	`jnl`	Tractable Regularization of Probabilistic Circuits. CoRR Anji Liu, Guy Van den Broeck
2020	A	`conf`	Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration. AAMAS Anji Liu, Yitao Liang, Guy Van den Broeck
2020	J	`jnl`	Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration. CoRR Anji Liu, Yitao Liang, Guy Van den Broeck
2020	J	`jnl`	On Effective Parallelization of Monte Carlo Tree Search. CoRR Anji Liu, Yitao Liang, Ji Liu, Guy Van den Broeck, Jianshu Chen
2020	A*	`conf`	Watch the Unobserved: A Simple Approach to Parallelizing Monte Carlo Tree Search. ICLR Anji Liu, Jianshu Chen, Mingze Yu, Yu Zhai, Xuewen Zhou, Ji Liu
2018	J	`jnl`	Balance gate controlled deep neural network. Neurocomputing Anji Liu, Yuanjun Laili