Yitao Liang - RankMe

122 papers A* 29A 3C 1Misc 1Journal 78Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	A 28nm Mode-Reconfigurable CAM-CIM Hybrid Complete 3-SAT Solver Supporting Conflict-Driven Clause Learning with 100% Solvability. ISSCC Zihan Wu, Xiyuan Tang, Lishan Lin, Youming Yang, Haoyang Luo, Bocheng Xu, Yitao Liang, Xiaochen Bo, Yuan Wang
2026	J	`jnl`	A deep learning-based real-time no-reference image decolorization network with perceptual preservation. Turkish J. Electr. Eng. Comput. Sci. Mengjuan Zhao, Yitao Liang, Weiya Shi, Juan Xia
2026	—	`conf`	CREATE: Cross-Layer Resilience Characterization and Optimization for Efficient yet Reliable Embodied AI Systems. ASPLOS (2) Tong Xie, Yijiahao Qi, Jinqi Wen, Zishen Wan, Yanchi Dong, Zihao Wang, Shaofei Cai, Yitao Liang, Tianyu Jia, Yuan Wang, Runsheng Wang, Meng Li
2026	J	`jnl`	CREATE: Cross-Layer Resilience Characterization and Optimization for Efficient yet Reliable Embodied AI Systems. CoRR Tong Xie, Yijiahao Qi, Jinqi Wen, Zishen Wan, Yanchi Dong, Zihao Wang, Shaofei Cai, Yitao Liang, Tianyu Jia, Yuan Wang, Runsheng Wang, Meng Li
2026	A*	`conf`	DexGraspVLA: A Vision-Language-Action Framework Towards General Dexterous Grasping. AAAI Yifan Zhong, Xuchuan Huang, Ruochong Li, Ceyao Zhang, Zhang Chen, Tianrui Guan, Fanlian Zeng, Ka Nam Lui, Yuyao Ye, Yitao Liang, Yaodong Yang, Yuanpei Chen
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	J	`jnl`	SKADI: A 28-nm Complete K-SAT Solver Featuring Bidirectional In-Memory Deduction and Incremental Updating. IEEE J. Solid State Circuits Zihan Wu, Xiyuan Tang, Tao Zhang, Lishan Lin, Haoyang Luo, Bocheng Xu, Zhongyi Wu, Jiahao Song, Yitao Liang, Xiaochen Bo, Yuan Wang
2026	A*	`conf`	Steering Visuomotor Policy in Open Worlds via Cross-View Goal Alignment. AAAI Shaofei Cai, Zhancun Mu, Anji Liu, Yitao Liang
2026	J	`jnl`	System Design for Maintaining Internal State Consistency in Long-Horizon Robotic Tabletop Games. CoRR Guangyu Zhao, Ceyao Zhang, Chengdong Ma, Tao Wu, Yiyang Song, Haoxuan Ru, Yifan Zhong, Ruilin Yan, Lingfeng Li, Ruochong Li, Yu Li, Xuyuan Han, Yun Ding, Ruizhang Jiang, Xiaochuan Zhang, Yichao Li, Yuanpei Chen, Yaodong Yang, Yitao Liang
2026	J	`jnl`	The AI Hippocampus: How Far are We From Human Memory? CoRR Zixia Jia, Jiaqi Li, Yipeng Kang, Yuxuan Wang, Tong Wu, Quansen Wang, Xiaobo Wang, Shuyi Zhang, Junzhe Shen, Qing Li, Siyuan Qi, Yitao Liang, Di He, Zilong Zheng, Song-Chun Zhu
2025	—	`conf`	37.5 SKADI: A 28nm Complete K-SAT Solver Featuring Dual-Path SRAM-Based Macro and Incremental Update with 100% Solvability. ISSCC Zihan Wu, Xiyuan Tang, Tao Zhang, Lishan Lin, Haoyang Luo, Bocheng Xu, Zhongyi Wu, Jiahao Song, Yitao Liang, Xiaochen Bo, Yuan Wang
2025	J	`jnl`	A Neural Symbolic Model for Space Physics. CoRR Jie Ying, Haowei Lin, Chao Yue, Yajie Chen, Chao Xiao, Quanqi Shi, Yitao Liang, Shing-Tung Yau, Yuan Zhou, Jianzhu Ma
2025	J	`jnl`	A Survey on Vision-Language-Action Models: An Action Tokenization Perspective. CoRR 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
2025	J	`jnl`	CELAT-DiffNet: channel-enhanced local attention transformer for underwater image enhancement based on diffusion models. J. Supercomput. Jiale Wang, Yitao Liang, Xuxu Yang, Mengjuan Zhao, Juan Xia
2025	J	`jnl`	DexGraspVLA: A Vision-Language-Action Framework Towards General Dexterous Grasping. CoRR Yifan Zhong, Xuchuan Huang, Ruochong Li, Ceyao Zhang, Yitao Liang, Yaodong Yang, Yuanpei Chen
2025	J	`jnl`	EvoSLD: Automated Neural Scaling Law Discovery With Large Language Models. CoRR Haowei Lin, Xiangyu Wang, Jianzhu Ma, Yitao Liang
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`	Game-TARS: Pretrained Foundation Models for Scalable Generalist Multimodal Game Agents. CoRR Zihao Wang, Xujing Li, Yining Ye, Junjie Fang, Haoming Wang, Longxiang Liu, Shihao Liang, Junting Lu, Zhiyong Wu, Jiazhan Feng, Wanjun Zhong, Zili Li, Yu Wang, Yu Miao, Bo Zhou, Yuanfan Li, Hao Wang, Zhongkai Zhao, Faming Wu, Zhengxuan Jiang, Weihao Tan, Heyuan Yao, Shi Yan, Xiangyang Li, Yitao Liang, Yujia Qin, Guang Shi
2025	J	`jnl`	Generative Evaluation of Complex Reasoning in Large Language Models. CoRR Haowei Lin, Xiangyu Wang, Ruilin Yan, Baizhou Huang, Haotian Ye, Jianhua Zhu, Zihao Wang, James Zou, Jianzhu Ma, Yitao Liang
2025	J	`jnl`	HiLoF-GAN: high and low frequency information separation GAN for underwater image enhancement. Earth Sci. Informatics Jiale Wang, Yitao Liang, Xuxu Yang, Mengjuan Zhao, Juan Xia
2025	J	`jnl`	Inference-time Scaling of Diffusion Models through Classical Search. CoRR Xiangcheng Zhang, Haowei Lin, Haotian Ye, James Y. Zou, Jianzhu Ma, Yitao Liang, Yilun Du
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	—	`conf`	JARVIS-VLA: Post-Training Large-Scale Vision Language Models to Play Visual Games with Keyboards and Mouse. ACL (Findings) Muyao Li, Zihao Wang, Kaichen He, Xiaojian Ma, Yitao Liang
2025	J	`jnl`	JARVIS-VLA: Post-Training Large-Scale Vision Language Models to Play Visual Games with Keyboards and Mouse. CoRR Muyao Li, Zihao Wang, Kaichen He, Xiaojian Ma, Yitao Liang
2025	A*	`conf`	Low-Dimension-to-High-Dimension Generalization and Its Implications for Length Generalization. ICML Yang Chen, Long Yang, Yitao Liang, Zhouchen Lin
2025	A*	`conf`	MCU: An Evaluation Framework for Open-Ended Game Agents. ICML Xinyue Zheng, Haowei Lin, Kaichen He, Zihao Wang, Qiang Fu, Haobo Fu, Zilong Zheng, Yitao Liang
2025	J	`jnl`	MDFF-Net: Multi-level Dynamic Feature Fusion Network Combined with Deep Supervision Mechanism for Low-Light Image Enhancement. Circuits Syst. Signal Process. Xuxu Yang, Yitao Liang, Degang Xu, Bin Li, Juan Xia, Lan Li
2025	J	`jnl`	On the Limitations and Capabilities of Position Embeddings for Length Generalization. CoRR Yang Chen, Yitao Liang, Zhouchen Lin
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	—	`conf`	Quantification of Large Language Model Distillation. ACL (1) 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
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`	Redefining Superalignment: From Weak-to-Strong Alignment to Human-AI Co-Alignment to Sustainable Symbiotic Society. CoRR 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
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`	SciDA: Scientific Dynamic Assessor of LLMs. CoRR 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
2025	J	`jnl`	SmartSnap: Proactive Evidence Seeking for Self-Verifying Agents. CoRR Shaofei Cai, Yulei Qin, Haojia Lin, Zihan Xu, Gang Li, Yuchen Shi, Zongyi Li, Yong Mao, Siqi Cai, Xiaoyu Tan, Yitao Liang, Ke Li, Xing Sun
2025	J	`jnl`	TDNet: a task-decoupled framework for low-light image enhancement. J. Electronic Imaging Shuman Liu, Yitao Liang, Xuxu Yang, Mengjuan Zhao, Degang Xu, Bin Li, Juan Xia
2025	A*	`conf`	TFG-Flow: Training-free Guidance in Multimodal Generative Flow. ICLR Haowei Lin, Shanda Li, Haotian Ye, Yiming Yang, Stefano Ermon, Yitao Liang, Jianzhu Ma
2025	J	`jnl`	TFG-Flow: Training-free Guidance in Multimodal Generative Flow. CoRR Haowei Lin, Shanda Li, Haotian Ye, Yiming Yang, Stefano Ermon, Yitao Liang, Jianzhu Ma
2025	J	`jnl`	The AI Hippocampus: How Far are We From Human Memory? Trans. Mach. Learn. Res. Zixia Jia, Jiaqi Li, Yipeng Kang, Yuxuan Wang, Tong Wu, Quansen Wang, Xiaobo Wang, Shuyi Zhang, Junzhe Shen, Qing Li, Siyuan Qi, Yitao Liang, Di He, Zilong Zheng, Song-Chun Zhu
2025	J	`jnl`	Toward Memory-Aided World Models: Benchmarking via Spatial Consistency. CoRR Kewei Lian, Shaofei Cai, Yilun Du, Yitao Liang
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`	Underwater images enhancement using contrast limited adaptive parameter settings histogram equalization. Multim. Tools Appl. Yahui Chen, Yitao Liang
2025	J	`jnl`	UniCode: A Framework for Generating High Quality Competitive Coding Problems. CoRR Xinyue Zheng, Haowei Lin, Shaofei Cai, Zilong Zheng, Yitao Liang
2024	A*	`conf`	A Tractable Inference Perspective of Offline RL. NeurIPS Xuejie Liu, Anji Liu, Guy Van den Broeck, Yitao Liang
2024	J	`jnl`	CLoG: Benchmarking Continual Learning of Image Generation Models. CoRR Haotian Zhang, Junting Zhou, Haowei Lin, Hang Ye, Jianhua Zhu, Zihao Wang, Liangcai Gao, Yizhou Wang, Yitao Liang
2024	J	`jnl`	DIGIC: Domain Generalizable Imitation Learning by Causal Discovery. CoRR Yang Chen, Yitao Liang, Zhouchen Lin
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	J	`jnl`	Low-Dimension-to-High-Dimension Generalization And Its Implications for Length Generalization. CoRR Yang Chen, Yitao Liang, Zhouchen Lin
2024	A*	`conf`	Mars: Situated Inductive Reasoning in an Open-World Environment. NeurIPS Xiaojuan Tang, Jiaqi Li, Yitao Liang, Song-Chun Zhu, Muhan Zhang, Zilong Zheng
2024	J	`jnl`	Mars: Situated Inductive Reasoning in an Open-World Environment. CoRR Xiaojuan Tang, Jiaqi Li, Yitao Liang, Song-Chun Zhu, Muhan Zhang, Zilong Zheng
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`	Neural-Symbolic Recursive Machine for Systematic Generalization. ICLR Qing Li, Yixin Zhu, Yitao Liang, Ying Nian Wu, Song-Chun Zhu, Siyuan Huang
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	J	`jnl`	Optimizing Latent Goal by Learning from Trajectory Preference. CoRR Guangyu Zhao, Kewei Lian, Haowei Lin, Haobo Fu, Qiang Fu, Shaofei Cai, Zihao Wang, 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`	Proposing and solving olympiad geometry with guided tree search. CoRR Chi Zhang, Jiajun Song, Siyu Li, Yitao Liang, Yuxi Ma, Wei Wang, Yixin Zhu, Song-Chun Zhu
2024	J	`jnl`	QCircuitNet: A Large-Scale Hierarchical Dataset for Quantum Algorithm Design. CoRR Rui Yang, Yuntian Gu, Ziruo Wang, Yitao Liang, Tongyang Li
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	—	`conf`	RulE: Knowledge Graph Reasoning with Rule Embedding. ACL (Findings) Xiaojuan Tang, Song-Chun Zhu, Yitao Liang, Muhan Zhang
2024	A*	`conf`	Selecting Large Language Model to Fine-tune via Rectified Scaling Law. ICML Haowei Lin, Baizhou Huang, Haotian Ye, Qinyu Chen, Zihao Wang, Sujian Li, Jianzhu Ma, Xiaojun Wan, James Zou, Yitao Liang
2024	J	`jnl`	Selecting Large Language Model to Fine-tune via Rectified Scaling Law. CoRR Haowei Lin, Baizhou Huang, Haotian Ye, Qinyu Chen, Zihao Wang, Sujian Li, Jianzhu Ma, Xiaojun Wan, James Zou, Yitao Liang
2024	J	`jnl`	Semantic Loss Functions for Neuro-Symbolic Structured Prediction. CoRR 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
2024	A*	`conf`	TFG: Unified Training-Free Guidance for Diffusion Models. NeurIPS Haotian Ye, Haowei Lin, Jiaqi Han, Minkai Xu, Sheng Liu, Yitao Liang, Jianzhu Ma, James Y. Zou, Stefano Ermon
2024	J	`jnl`	TFG: Unified Training-Free Guidance for Diffusion Models. CoRR Haotian Ye, Haowei Lin, Jiaqi Han, Minkai Xu, Sheng Liu, Yitao Liang, Jianzhu Ma, James Zou, Stefano Ermon
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`	Effective long-term tracking with contrast optimizer. Mach. Vis. Appl. Yongbo Han, 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	J	`jnl`	Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners. CoRR Xiaojuan Tang, Zilong Zheng, Jiaqi Li, Fanxu Meng, Song-Chun Zhu, Yitao Liang, Muhan Zhang
2023	J	`jnl`	MCU: A Task-centric Framework for Open-ended Agent Evaluation in Minecraft. CoRR Haowei Lin, Zihao Wang, Jianzhu 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`	SQA3D: Situated Question Answering in 3D Scenes. ICLR Xiaojian Ma, Silong Yong, Zilong Zheng, Qing Li, Yitao Liang, Song-Chun Zhu, Siyuan Huang
2023	—	`ch.`	Semantic Loss Functions for Neuro-Symbolic Structured Prediction. Compendium of Neurosymbolic Artificial Intelligence 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
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	J	`jnl`	Neural-Symbolic Recursive Machine for Systematic Generalization. CoRR Qing Li, Yixin Zhu, Yitao Liang, Ying Nian Wu, Song-Chun Zhu, Siyuan Huang
2022	J	`jnl`	RulE: Neural-Symbolic Knowledge Graph Reasoning with Rule Embedding. CoRR Xiaojuan Tang, Song-Chun Zhu, Yitao Liang, Muhan Zhang
2022	J	`jnl`	SQA3D: Situated Question Answering in 3D Scenes. CoRR Xiaojian Ma, Silong Yong, Zilong Zheng, Qing Li, Yitao Liang, Song-Chun Zhu, Siyuan Huang
2021	—	`conf`	An electrochemical immunosensor for global DNA methylation determination using magnetic bead-based enrichment and enzymatic amplification. IEEE SENSORS Yitao Liang, Bin Zhang, Zexin Xue, Xuesong Ye, Bo Liang
2021	A*	`conf`	Juice: A Julia Package for Logic and Probabilistic Circuits. AAAI Meihua Dang, Pasha Khosravi, Yitao Liang, Antonio Vergari, Guy Van den Broeck
2021	J	`jnl`	Towards an Interpretable Latent Space in Structured Models for Video Prediction. CoRR Rushil Gupta, Vishal Sharma, Yash Jain, Yitao Liang, Guy Van den Broeck, Parag Singla
2021	J	`jnl`	VineMap: a metaphor visualization method for public opinion hierarchy from text data. J. Vis. Yajun Cui, Chenhui Li, Chen Chen, Yitao Liang, Yanpeng Hu, Changbo Wang
2020	—	`conf`	Au nanoflowers modified magnetic and flexible biosensor for bisulfite-free HCC global DNA methylation detection. IEEE SENSORS Bobo Huang, Yitao Liang, Bin Zhang, Qingpeng Cao, Tingting Tu, Xuesong Ye, Bo Liang
2020	J	`jnl`	Handling Missing Data in Decision Trees: A Probabilistic Approach. CoRR Pasha Khosravi, Antonio Vergari, YooJung Choi, Yitao Liang, 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	Misc	`conf`	SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning. CoRL Albert Zhao, Tong He, Yitao Liang, Haibin Huang, Guy Van den Broeck, Stefano Soatto
2020	J	`jnl`	Semantic and Generalized Entropy Loss Functions for Semi-Supervised Deep Learning. Entropy Krzysztof Gajowniczek, Yitao Liang, Tal Friedman, Tomasz S. Zabkowski, Guy Van den Broeck
2019	—	`conf`	A 3D Pt nanoflowers decorated micro-needle tip for in situ detection of cellular ATP release. IEEE SENSORS Qin Zhu, Yitao Liang, Lin Ji, Yu Cai, Hangxu Ren, Lu Fang, Xiao Liang, Xuesong Ye, Bo Liang
2019	J	`jnl`	LaTeS: Latent Space Distillation for Teacher-Student Driving Policy Learning. CoRR Albert Zhao, Tong He, Yitao Liang, Haibin Huang, Guy Van den Broeck, Stefano Soatto
2019	A*	`conf`	Learning Logistic Circuits. AAAI Yitao Liang, Guy Van den Broeck
2019	J	`jnl`	Learning Logistic Circuits. CoRR Yitao Liang, Guy Van den Broeck
2019	A*	`conf`	On Tractable Computation of Expected Predictions. NeurIPS Pasha Khosravi, YooJung Choi, Yitao Liang, Antonio Vergari, Guy Van den Broeck
2019	J	`jnl`	On Tractable Computation of Expected Predictions. CoRR Pasha Khosravi, YooJung Choi, Yitao Liang, Antonio Vergari, Guy Van den Broeck
2019	A*	`conf`	What to Expect of Classifiers? Reasoning about Logistic Regression with Missing Features. IJCAI Pasha Khosravi, Yitao Liang, YooJung Choi, Guy Van den Broeck
2019	J	`jnl`	What to Expect of Classifiers? Reasoning about Logistic Regression with Missing Features. CoRR Pasha Khosravi, Yitao Liang, YooJung Choi, Guy Van den Broeck
2018	A*	`conf`	A Semantic Loss Function for Deep Learning with Symbolic Knowledge. ICML Jingyi Xu, Zilu Zhang, Tal Friedman, Yitao Liang, Guy Van den Broeck
2018	J	`jnl`	Horizon: Facebook's Open Source Applied Reinforcement Learning Platform. CoRR Jason Gauci, Edoardo Conti, Yitao Liang, Kittipat Virochsiri, Yuchen He, Zachary Kaden, Vivek Narayanan, Xiaohui Ye
2018	A*	`conf`	Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing. NeurIPS Zehong Hu, Yitao Liang, Jie Zhang, Zhao Li, Yang Liu
2018	J	`jnl`	Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing. CoRR Zehong Hu, Yitao Liang, Yang Liu, Jie Zhang
2017	J	`jnl`	A Semantic Loss Function for Deep Learning with Symbolic Knowledge. CoRR Jingyi Xu, Zilu Zhang, Tal Friedman, Yitao Liang, Guy Van den Broeck
2017	C	`conf`	An application of optimization method for storyline based on cluster analysis. VINCI Yuhua Liu, Hanfei Lin, Yitao Liang, Changbo Wang
2017	A	`conf`	Learning the Structure of Probabilistic Sentential Decision Diagrams. UAI Yitao Liang, Jessa Bekker, Guy Van den Broeck
2016	A	`conf`	State of the Art Control of Atari Games Using Shallow Reinforcement Learning. AAMAS Yitao Liang, Marlos C. Machado, Erik Talvitie, Michael H. Bowling
2015	J	`jnl`	State of the Art Control of Atari Games Using Shallow Reinforcement Learning. CoRR Yitao Liang, Marlos C. Machado, Erik Talvitie, Michael H. Bowling