1 code implementation • 30 Jan 2024 • Xiaoran Fan, Tao Ji, Changhao Jiang, Shuo Li, Senjie Jin, Sirui Song, Junke Wang, Boyang Hong, Lu Chen, Guodong Zheng, Ming Zhang, Caishuang Huang, Rui Zheng, Zhiheng Xi, Yuhao Zhou, Shihan Dou, Junjie Ye, Hang Yan, Tao Gui, Qi Zhang, Xipeng Qiu, Xuanjing Huang, Zuxuan Wu, Yu-Gang Jiang
This technique introduces a fusion network to unify the processing of outputs from different visual experts, while bridging the gap between image encoders and pre-trained LLMs.
Ranked #120 on
Visual Question Answering
on MM-Vet
no code implementations • 12 Oct 2022 • Sirui Song, Kirk Saunders, Ye Yue, Jundong Liu
In this work, we proposed several novel agent state and reward function designs to tackle two critical issues in DRL-based navigation solutions: 1) smoothness of the trained flight trajectories; and 2) model generalization to handle unseen environments.
no code implementations • 31 May 2022 • Can Chen, Chen Ma, Xi Chen, Sirui Song, Hao liu, Xue Liu
Recent works reveal a huge gap between the implicit feedback and user-item relevance due to the fact that implicit feedback is also closely related to the item exposure.
no code implementations • 20 Nov 2021 • Yang Hu, Zhui Zhu, Sirui Song, Xue Liu, Yang Yu
Experimental results in an exemplary environment show that our MARL approach is able to demonstrate the effectiveness and necessity of restrictions on individual liberty for collaborative supply of public goods.
no code implementations • 4 Feb 2021 • Tao Feng, Sirui Song, Tong Xia, Yong Li
In this paper, we develop an Individual-based Reinforcement Learning Epidemic Control Agent (IDRLECA) to search for smart epidemic control strategies that can simultaneously minimize infections and the cost of mobility intervention.
1 code implementation • 4 Aug 2020 • Sirui Song, Zefang Zong, Yong Li, Xue Liu, Yang Yu
Saving lives or economy is a dilemma for epidemic control in most cities while smart-tracing technology raises people's privacy concerns.
no code implementations • 3 Nov 2019 • Sirui Song, Tong Xia, Depeng Jin, Pan Hui, Yong Li
In this paper, to reveal urban dynamics, we propose a novel system UrbanRhythm to reveal the urban dynamics hidden in human mobility data.