Shanqi Liu - RankMe

28 papers A* 4A 3B 1Journal 18Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FlashEvaluator: Expanding Search Space with Parallel Evaluation. CoRR Chao Feng, Yuanhao Pu, Chenghao Zhang, Shanqi Liu, Shuchang Liu, Xiang Li, Yongqi Liu, Lantao Hu, Kaiqiao Zhan, Han Li, Kun Gai
2025	J	`jnl`	DUET: Dual Model Co-Training for Entire Space CTR Prediction. CoRR Yutian Xiao, Meng Yuan, Fuzhen Zhuang, Wei Chen, Shukuan Wang, Shanqi Liu, Chao Feng, Wenhui Yu, Xiang Li, Lantao Hu, Han Li, Zhao Zhang
2025	J	`jnl`	MARS: Modality-Aligned Retrieval for Sequence Augmented CTR Prediction. CoRR Yutian Xiao, Shukuan Wang, Binhao Wang, Zhao Zhang, Yanze Zhang, Shanqi Liu, Chao Feng, Xiang Li, Fuzhen Zhuang
2025	J	`jnl`	MCMC: Multi-Constrained Model Compression via One-Stage Envelope Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Siqi Li, Jun Chen, Shanqi Liu, Chengrui Zhu, Guanzhong Tian, Yong Liu
2024	—	`conf`	Exploit Spatiotemporal Contextual Information for 3D Single Object Tracking via Memory Networks. 3DV Jongwon Ra, Mengmeng Wang, Jianbiao Mei, Shanqi Liu, Yu Yang, Yong Liu
2024	J	`jnl`	Learning Multi-Agent Cooperation via Considering Actions of Teammates. IEEE Trans. Neural Networks Learn. Syst. Shanqi Liu, Weiwei Liu, Wenzhou Chen, Guanzhong Tian, Jun Chen, Yao Tong, Junjie Cao, Yong Liu
2024	J	`jnl`	Multi-constraint improved RS path planning method for unmanned rice direct seeding machine. Comput. Electron. Agric. Lian Hu, Kang Hou, Jie He, Zhongxian Man, Jiasheng Xie, Pei Wang, Tuanpeng Tu, Ruitao Gao, Le Zi, Yufeng Huang, Mingjin Li, Shuaiqi Ding, Hong Zhang, Shanqi Liu, Mengdong Yue, Xiwen Luo, Dawen Feng
2024	J	`jnl`	Safe and Efficient Online Convex Optimization with Linear Budget Constraints and Partial Feedback. CoRR Shanqi Liu, Xin Liu
2024	A*	`conf`	Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution. ICLR Shanqi Liu, Dong Xing, Pengjie Gu, Xinrun Wang, Bo An, Yong Liu
2024	J	`jnl`	TWOSOME: An Efficient Online Framework to Align LLMs with Embodied Environments via Reinforcement Learning. Int. J. Artif. Intell. Robotics Res. Weihao Tan, Wentao Zhang, Shanqi Liu, Longtao Zheng, Xinrun Wang, Bo An
2024	J	`jnl`	True Knowledge Comes from Practice: Aligning LLMs with Embodied Environments via Reinforcement Learning. CoRR Weihao Tan, Wentao Zhang, Shanqi Liu, Longtao Zheng, Xinrun Wang, Bo An
2024	A*	`conf`	True Knowledge Comes from Practice: Aligning Large Language Models with Embodied Environments via Reinforcement Learning. ICLR Weihao Tan, Wentao Zhang, Shanqi Liu, Longtao Zheng, Xinrun Wang, Bo An
2023	A	`conf`	Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning. AAMAS Shanqi Liu, Yujing Hu, Runze Wu, Dong Xing, Yu Xiong, Changjie Fan, Kun Kuang, Yong Liu
2023	J	`jnl`	Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning. CoRR Shanqi Liu, Yujing Hu, Runze Wu, Dong Xing, Yu Xiong, Changjie Fan, Kun Kuang, Yong Liu
2023	A*	`conf`	Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification. ICML Dong Xing, Pengjie Gu, Qian Zheng, Xinrun Wang, Shanqi Liu, Longtao Zheng, Bo An, Gang Pan
2023	J	`jnl`	Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification. CoRR Dong Xing, Pengjie Gu, Qian Zheng, Xinrun Wang, Shanqi Liu, Longtao Zheng, Bo An, Gang Pan
2023	J	`jnl`	Expert demonstrations guide reward decomposition for multi-agent cooperation. Neural Comput. Appl. Weiwei Liu, Jing Wei, Shanqi Liu, Yudi Ruan, Kexin Zhang, Yang Jiang, Yong Liu
2023	B	`conf`	Lightweight Cryptography Implementation for Internet of Things Network on FPGA. SMC Ruoyu Wu, Guanzhong Tian, Longhua Ma, Zhishan Li, Shanqi Liu
2023	J	`jnl`	Multi-Agent Cooperation via Unsupervised Learning of Joint Intentions. CoRR Shanqi Liu, Weiwei Liu, Wenzhou Chen, Guanzhong Tian, Yong Liu
2023	J	`jnl`	The Onsager-Machlup action functional for McKean-Vlasov stochastic differential equations. Commun. Nonlinear Sci. Numer. Simul. Shanqi Liu, Hongjun Gao, Huijie Qiao, Nan Lu
2022	A	`conf`	CICC: Channel Pruning via the Concentration of Information and Contributions of Channels. BMVC Yihao Chen, Zhishan Li, Yingqing Yang, Lei Xie, Yong Liu, Longhua Ma, Shanqi Liu, Guanzhong Tian
2021	—	`conf`	Learning Intra-group Cooperation in Multi-agent Systems. M2VIP Weiwei Liu, Shanqi Liu, Jian Yang, Yong Liu
2021	A	`conf`	Moving Forward in Formation: A Decentralized Hierarchical Learning Approach to Multi-Agent Moving Together. IROS Shanqi Liu, Licheng Wen, Jinhao Cui, Xuemeng Yang, Junjie Cao, Yong Liu
2021	A*	`conf`	One-shot Face Reenactment Using Appearance Adaptive Normalization. AAAI Guangming Yao, Yi Yuan, Tianjia Shao, Shuang Li, Shanqi Liu, Yong Liu, Mengmeng Wang, Kun Zhou
2021	J	`jnl`	One-shot Face Reenactment Using Appearance Adaptive Normalization. CoRR Guangming Yao, Yi Yuan, Tianjia Shao, Shuang Li, Shanqi Liu, Yong Liu, Mengmeng Wang, Kun Zhou
2021	J	`jnl`	Self-play reinforcement learning with comprehensive critic in computer games. Neurocomputing Shanqi Liu, Junjie Cao, Yujie Wang, Wenzhou Chen, Yong Liu
2020	J	`jnl`	HILONet: Hierarchical Imitation Learning from Non-Aligned Observations. CoRR Shanqi Liu, Junjie Cao, Wenzhou Chen, Licheng Wen, Yong Liu
2020	J	`jnl`	Moving Forward in Formation: A Decentralized Hierarchical Learning Approach to Multi-Agent Moving Together. CoRR Shanqi Liu, Licheng Wen, Jinhao Cui, Xuemeng Yang, Junjie Cao, Yong Liu