Yu Li

According to our database, Yu Li authored at least 23 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

A Survey of Reasoning with Foundation Models: Concepts, Methodologies, and Outlook.

Jiankai Sun, Chuanyang Zheng, Enze Xie, Zhengying Liu, Ruihang Chu, Jianing Qiu, Jiaqi Xu, Mingyu Ding, Hongyang Li, Mengzhe Geng, Yue Wu, Wenhai Wang, Junsong Chen, Zhangyue Yin, Xiaozhe Ren, Jie Fu, Junxian He, Wu Yuan, Qi Liu, Xihui Liu, Yu Li, Hao Dong, Yu Cheng, Ming Zhang, Pheng-Ann Heng, Jifeng Dai, Ping Luo, Jingdong Wang, Ji-Rong Wen, Xipeng Qiu, Yike Guo, Hui Xiong, Qun Liu, Zhenguo Li

ACM Comput. Surv., November, 2025

Graph Federated Learning for Personalized Privacy Recommendation.

Ce Na, Kai Yang, Dengzhao Fang, Yu Li, Jingtong Gao, Chengcheng Zhu, Jiale Zhang, Xiaobing Sun, Yi Chang

CoRR, August, 2025

HiD-VAE: Interpretable Generative Recommendation via Hierarchical and Disentangled Semantic IDs.

Dengzhao Fang, Jingtong Gao, Chengcheng Zhu, Yu Li, Xiangyu Zhao, Yi Chang

CoRR, August, 2025

AnyCap Project: A Unified Framework, Dataset, and Benchmark for Controllable Omni-modal Captioning.

Yiming Ren, Zhiqiang Lin, Yu Li, Gao Meng, Weiyun Wang, Junjie Wang, Zicheng Lin, Jifeng Dai, Yujiu Yang, Wenhai Wang, Ruihang Chu

CoRR, July, 2025

AI Agent Behavioral Science.

Lin Chen, Yunke Zhang, Jie Feng, Haoye Chai, Honglin Zhang, Bingbing Fan, Yibo Ma, Shiyuan Zhang, Nian Li, Tianhui Liu, Nicholas Sukiennik, Keyu Zhao, Yu Li, Ziyi Liu, Fengli Xu, Yong Li

CoRR, June, 2025

AgentSwift: Efficient LLM Agent Design via Value-guided Hierarchical Search.

Yu Li, Lehui Li, Zhihao Wu, Qingmin Liao, Jianye Hao, Kun Shao, Fengli Xu, Yong Li

CoRR, June, 2025

Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models.

Fengli Xu, Qianyue Hao, Zefang Zong, Jingwei Wang, Yunke Zhang, Jingyi Wang, Xiaochong Lan, Jiahui Gong, Tianjian Ouyang, Fanjin Meng, Chenyang Shao, Yuwei Yan, Qinglong Yang, Yiwen Song, Sijian Ren, Xinyuan Hu, Yu Li, Jie Feng, Chen Gao, Yong Li

CoRR, January, 2025

Toward large reasoning models: A survey of reinforced reasoning with large language models.

Fengli Xu, Qianyue Hao, Chenyang Shao, Zefang Zong, Yu Li, Jingwei Wang, Yunke Zhang, Jingyi Wang, Xiaochong Lan, Jiahui Gong, Tianjian Ouyang, Fanjin Meng, Yuwei Yan, Qinglong Yang, Yiwen Song, Sijian Ren, Xinyuan Hu, Jie Feng, Chen Gao, Yong Li

Patterns, 2025

AgentSociety Challenge: Designing LLM Agents for User Modeling and Recommendation on Web Platforms.

Yuwei Yan, Yu Shang, Qingbin Zeng, Yu Li, Keyu Zhao, Zhiheng Zheng, Xuefei Ning, Tianji Wu, Shengen Yan, Yu Wang, Fengli Xu, Yong Li

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

AdaManip: Adaptive Articulated Object Manipulation Environments and Policy Learning.

Yuanfei Wang, Xiaojie Zhang, Ruihai Wu, Yu Li, Yan Shen, Mingdong Wu, Zhaofeng He, Yizhou Wang, Hao Dong

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

AgentSquare: Automatic LLM Agent Search in Modular Design Space.

Yu Shang, Yu Li, Keyu Zhao, Likai Ma, Jiahe Liu, Fengli Xu, Yong Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

ProReflow: Progressive Reflow with Decomposed Velocity.

Lei Ke, Haohang Xu, Xuefei Ning, Yu Li, Jiajun Li, Haoling Li, Yuxuan Lin, Dongsheng Jiang, Yujiu Yang, Linfeng Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

CGB-DM: Content and Graphic Balance Layout Generation with Transformer-based Diffusion Model.

Yu Li, Yifan Chen, Gongye Liu, Jie Wu, Yujiu Yang

CoRR, 2024

UniDoorManip: Learning Universal Door Manipulation Policy Over Large-scale and Diverse Door Manipulation Environments.

Yu Li, Xiaojie Zhang, Ruihai Wu, Zilong Zhang, Yiran Geng, Hao Dong, Zhaofeng He

CoRR, 2024

Articulated Object Manipulation with Coarse-to-fine Affordance for Mitigating the Effect of Point Cloud Noise.

Suhan Ling, Yian Wang, Shiguang Wu, Yuzheng Zhuang, Tianyi Xu, Yu Li, Chang Liu, Hao Dong

CoRR, 2024

DefInt: A Default-interventionist Framework for Efficient Reasoning with Hybrid Large Language Models.

Yu Shang, Yu Li, Fengli Xu, Yong Li

CoRR, 2024

Articulated Object Manipulation with Coarse-to-fine Affordance for Mitigating the Effect of Point Cloud Noise.

Suhan Ling, Yian Wang, Ruihai Wu, Shiguang Wu, Yuzheng Zhuang, Tianyi Xu, Yu Li, Chang Liu, Hao Dong

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

A Survey of Reasoning with Foundation Models.

Jiankai Sun, Chuanyang Zheng, Enze Xie, Zhengying Liu, Ruihang Chu, Jianing Qiu, Jiaqi Xu, Mingyu Ding, Hongyang Li, Mengzhe Geng, Yue Wu, Wenhai Wang, Junsong Chen, Zhangyue Yin, Xiaozhe Ren, Jie Fu, Junxian He, Wu Yuan, Qi Liu, Xihui Liu, Yu Li, Hao Dong, Yu Cheng, Ming Zhang, Pheng-Ann Heng, Jifeng Dai, Ping Luo, Jingdong Wang, Ji-Rong Wen, Xipeng Qiu, Yike Guo, Hui Xiong, Qun Liu, Zhenguo Li

CoRR, 2023

On the Opportunities of Green Computing: A Survey.

You Zhou, Xiujing Lin, Xiang Zhang, Maolin Wang, Gangwei Jiang, Huakang Lu, Yupeng Wu, Kai Zhang, Zhe Yang, Kehang Wang, Yongduo Sui, Fengwei Jia, Zuoli Tang, Yao Zhao, Hongxuan Zhang, Tiannuo Yang, Weibo Chen, Yunong Mao, Yi Li, De Bao, Yu Li, Hongrui Liao, Ting Liu, Jingwen Liu, Jinchi Guo, Xiangyu Zhao, Ying Wei, Hong Qian, Qi Liu, Xiang Wang, Wai Kin Chan, Chenliang Li, Yusen Li, Shiyu Yang, Jining Yan, Chao Mou, Shuai Han, Wuxia Jin, Guannan Zhang, Xiaodong Zeng

CoRR, 2023

Signed Laplacian Graph Neural Networks.

Yu Li, Meng Qu, Jian Tang, Yi Chang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Orthogonal Graph Neural Networks.

Kai Guo, Kaixiong Zhou, Xia Hu, Yu Li, Yi Chang, Xin Wang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Learning Signed Network Embedding via Graph Attention.

Yu Li, Yuan Tian, Jiawei Zhang, Yi Chang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Learning Network Embedding with Community Structural Information.

Yu Li, Ying Wang, Tingting Zhang, Jiawei Zhang, Yi Chang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019