activity
20192023
most cited-GAIL: Learning -Divergence for Generative Adversarial Imitation Learning

11 citations · 17 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2023

STORM-GAN: Spatio-Temporal Meta-GAN for Cross-City Estimation of Human Mobility Responses to COVID-19

Han Bao, Xun Zhou, Yiqun Xie +2

Human mobility estimation is crucial during the COVID-19 pandemic due to its significant guidance for policymakers to make non-pharmaceutical interventions. While deep learning app…

cs.CV2022★ 2 cited

EgoSpeed-Net: Forecasting Speed-Control in Driver Behavior from Egocentric Video Data

Yichen Ding, Ziming Zhang, Yanhua Li +1

Speed-control forecasting, a challenging problem in driver behavior analysis, aims to predict the future actions of a driver in controlling vehicle speed such as braking or acceler…

cs.LG2022

HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal Data

Bang An, Amin Vahedian, Xun Zhou +2

Traffic accident forecasting is a significant problem for transportation management and public safety. However, this problem is challenging due to the spatial heterogeneity of the…

cs.LG2020★ 11 cited

-GAIL: Learning -Divergence for Generative Adversarial Imitation Learning

Xin Zhang, Yanhua Li, Ziming Zhang +1

Imitation learning (IL) aims to learn a policy from expert demonstrations that minimizes the discrepancy between the learner and expert behaviors. Various imitation learning algori…

cs.IR2020★ 2 cited

BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation

Qiong Wu, Adam Hare, Sirui Wang +4

Existing topic modeling and text segmentation methodologies generally require large datasets for training, limiting their capabilities when only small collections of text are avail…

cs.AI2019

Reward Advancement: Transforming Policy under Maximum Causal Entropy Principle

Guojun Wu, Yanhua Li, Zhenming Liu +4

Many real-world human behaviors can be characterized as a sequential decision making processes, such as urban travelers choices of transport modes and routes (Wu et al. 2017). Diff…

cs.DS2019★ 2 cited

Adaptive Reduced Rank Regression

Qiong Wu, Felix Ming Fai Wong, Zhenming Liu +2

We study the low rank regression problem $\my = M\mx + ε$, where $\mx$ and $\my$ are and dimensional vectors respectively. We consider the extreme high-dimensional sett…