activity
20092021
most citedVehicular Edge Computing via Deep Reinforcement Learning

18 citations · 75 across the 12 of their papers we have counts for

collaborators

12 papers

cs.LG2021★ 6 cited

A Variational U-Net for Weather Forecasting

Pak Hay Kwok, Qi Qi

Not only can discovering patterns and insights from atmospheric data enable more accurate weather predictions, but it may also provide valuable information to help tackle climate c…

cs.LG2021★ 9 cited

Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence

Qi Qi, Youzhi Luo, Zhao Xu +2

Areas under ROC (AUROC) and precision-recall curves (AUPRC) are common metrics for evaluating classification performance for imbalanced problems. Compared with AUROC, AUPRC is a mo…

cs.DS2021★ 2 cited

The Multiplicative Version of Azuma's Inequality, with an Application to Contention Analysis

William Kuszmaul, Qi Qi

Azuma's inequality is a tool for proving concentration bounds on random variables. The inequality can be thought of as a natural generalization of additive Chernoff bounds. On the…

cs.LG2020★ 5 cited

Traffic4cast 2020 -- Graph Ensemble Net and the Importance of Feature And Loss Function Design for Traffic Prediction

Qi Qi, Pak Hay Kwok

This paper details our solution to Traffic4cast 2020. Similar to Traffic4cast 2019, Traffic4cast 2020 challenged its contestants to develop algorithms that can predict the future t…

cs.LG2020★ 4 cited

Variance-Reduced Off-Policy Memory-Efficient Policy Search

Daoming Lyu, Qi Qi, Mohammad Ghavamzadeh +3

Off-policy policy optimization is a challenging problem in reinforcement learning (RL). The algorithms designed for this problem often suffer from high variance in their estimators…

cs.GT2020★ 3 cited

Optimally Integrating Ad Auction into E-Commerce Platforms

Weian Li, Qi Qi, Changjun Wang +1

Advertising becomes one of the most popular ways of monetizing an online transaction platform. Usually, sponsored advertisements are posted on the most attractive positions to enha…

cs.LG2020★ 9 cited

An Online Method for A Class of Distributionally Robust Optimization with Non-Convex Objectives

Qi Qi, Zhishuai Guo, Yi Xu +2

In this paper, we propose a practical online method for solving a class of distributionally robust optimization (DRO) with non-convex objectives, which has important applications i…

cs.GT2020★ 5 cited

Computations and Complexities of Tarski's Fixed Points and Supermodular Games

Chuangyin Dang, Qi Qi, Yinyu Ye

We consider two models of computation for Tarski's order preserving function f related to fixed points in a complete lattice: the oracle function model and the polynomial function…

cs.LG2019★ 4 cited

A Simple and Effective Framework for Pairwise Deep Metric Learning

Qi Qi, Yan Yan, Xiaoyu Wang +1

Deep metric learning (DML) has received much attention in deep learning due to its wide applications in computer vision. Previous studies have focused on designing complicated loss…

cs.NI2019★ 18 cited

Vehicular Edge Computing via Deep Reinforcement Learning

Qi Qi, Zhanyu Ma

The smart vehicles construct Vehicle of Internet which can execute various intelligent services. Although the computation capability of the vehicle is limited, multi-type of edge c…

math.OC2018★ 1 cited

Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence

Yi Xu, Qi Qi, Qihang Lin +2

Difference of convex (DC) functions cover a broad family of non-convex and possibly non-smooth and non-differentiable functions, and have wide applications in machine learning and…

cs.GT2009★ 9 cited

On the Complexity of Envy-Free Cake Cutting

Xiaotie Deng, Qi Qi, Amin Saberi

We study the envy-free cake-cutting problem for players with cuts, for both the oracle function model and the polynomial time function model. For the former, we derive a…