activity
20192022
most citedReinforced Epidemic Control: Saving Both Lives and Economy

11 citations · 12 across the 6 of their papers we have counts for

collaborators

6 papers

cs.RO2022

Smooth Trajectory Collision Avoidance through Deep Reinforcement Learning

Sirui Song, Kirk Saunders, Ye Yue +1

Collision avoidance is a crucial task in vision-guided autonomous navigation. Solutions based on deep reinforcement learning (DRL) has become increasingly popular. In this work, we…

cs.IR2022

Unbiased Implicit Feedback via Bi-level Optimization

Can Chen, Chen Ma, Xi Chen +3

Implicit feedback is widely leveraged in recommender systems since it is easy to collect and provides weak supervision signals. Recent works reveal a huge gap between the implicit…

cs.AI2021

Calculus of Consent via MARL: Legitimating the Collaborative Governance Supplying Public Goods

Yang Hu, Zhui Zhu, Sirui Song +2

Public policies that supply public goods, especially those involve collaboration by limiting individual liberty, always give rise to controversies over governance legitimacy. Multi…

cs.AI2021

Reinforced Contact Tracing and Epidemic Intervention

Tao Feng, Sirui Song, Tong Xia +1

The recent outbreak of COVID-19 poses a serious threat to people's lives. Epidemic control strategies have also caused damage to the economy by cutting off humans' daily commute. I…

cs.AI2020★ 11 cited

Reinforced Epidemic Control: Saving Both Lives and Economy

Sirui Song, Zefang Zong, Yong Li +2

Saving lives or economy is a dilemma for epidemic control in most cities while smart-tracing technology raises people's privacy concerns. In this paper, we propose a solution for t…

cs.SI2019★ 1 cited

UrbanRhythm: Revealing Urban Dynamics Hidden in Mobility Data

Sirui Song, Tong Xia, Depeng Jin +2

Understanding urban dynamics, i.e., how the types and intensity of urban residents' activities in the city change along with time, is of urgent demand for building an efficient and…