activity
20122022
most citedKTAN: Knowledge Transfer Adversarial Network

15 citations · 51 across the 14 of their papers we have counts for

collaborators

14 papers

cs.AI2022★ 1 cited

Learning to Help Emergency Vehicles Arrive Faster: A Cooperative Vehicle-Road Scheduling Approach

Lige Ding, Dong Zhao, Zhaofeng Wang +4

The ever-increasing heavy traffic congestion potentially impedes the accessibility of emergency vehicles (EVs), resulting in detrimental impacts on critical services and even safet…

cs.LG2021

SPAP: Simultaneous Demand Prediction and Planning for Electric Vehicle Chargers in a New City

Yizong Wang, Dong Zhao, Yajie Ren +2

For a new city that is committed to promoting Electric Vehicles (EVs), it is significant to plan the public charging infrastructure where charging demands are high. However, it is…

cs.CV2020

A Real-time Action Representation with Temporal Encoding and Deep Compression

Kun Liu, Wu Liu, Huadong Ma +2

Deep neural networks have achieved remarkable success for video-based action recognition. However, most of existing approaches cannot be deployed in practice due to the high comput…

cs.LG2019★ 3 cited

MemNet: Memory-Efficiency Guided Neural Architecture Search with Augment-Trim learning

Peiye Liu, Bo Wu, Huadong Ma +1

Recent studies on automatic neural architectures search have demonstrated significant performance, competitive to or even better than hand-crafted neural architectures. However, mo…

cs.CV2019★ 4 cited

Multi-Granularity Reasoning for Social Relation Recognition from Images

Meng Zhang, Xinchen Liu, Wu Liu +3

Discovering social relations in images can make machines better interpret the behavior of human beings. However, automatically recognizing social relations in images is a challengi…

cs.CV2019★ 1 cited

PVSS: A Progressive Vehicle Search System for Video Surveillance Networks

Xinchen Liu, Wu Liu, Huadong Ma +1

This paper is focused on the task of searching for a specific vehicle that appeared in the surveillance networks. Existing methods usually assume the vehicle images are well croppe…

cs.GT2018

Generalized Lottery Trees: Budget-Consistent Incentive Tree Mechanisms for Crowdsourcing

Dong Zhao, Huadong Ma, Xinna Ji

Incentive mechanism design has aroused extensive attention for crowdsourcing applications in recent years. Most research assumes that participants are already in the system and awa…

cs.LG2018★ 15 cited

KTAN: Knowledge Transfer Adversarial Network

Peiye Liu, Wu Liu, Huadong Ma +2

To reduce the large computation and storage cost of a deep convolutional neural network, the knowledge distillation based methods have pioneered to transfer the generalization abil…

cs.CV2017★ 4 cited

Generalized Zero-Shot Learning for Action Recognition with Web-Scale Video Data

Kun Liu, Wu Liu, Huadong Ma +2

Action recognition in surveillance video makes our life safer by detecting the criminal events or predicting violent emergencies. However, efficient action recognition is not free…

cs.GT2014★ 12 cited

Frugal Online Incentive Mechanisms for Crowdsourcing Tasks Truthfully

Dong Zhao, Huadong Ma, Liang Liu

Mobile Crowd Sensing (MCS) is a new paradigm which takes advantage of pervasive smartphones to efficiently collect data, enabling numerous novel applications. To achieve good servi…

cs.GT2013

Collection-behavior based Multi-parameter Posted Pricing Mechanism for Crowd Sensing

Jiajun Sun

Crowd sensing is a new paradigm which leverages a large number of sensor-equipped mobile phones to collect sensing data. To attract more participants to provide good quality, biddi…

cs.GT2013★ 9 cited

OMG: How Much Should I Pay Bob in Truthful Online Mobile Crowdsourced Sensing?

Dong Zhao, Xiang-Yang Li, Huadong Ma

Mobile crowdsourced sensing (MCS) is a new paradigm which takes advantage of the pervasive smartphones to efficiently collect data, enabling numerous novel applications. To achieve…

cs.NI2012★ 1 cited

Opportunistic Forwarding with Partial Centrality

Peiyan Yuan, Huadong Ma, Xiang-Yang Li +2

In opportunistic networks, the use of social metrics (e.g., degree, closeness and betweenness centrality) of human mobility network, has recently been shown to be an effective solu…

cs.DC2012★ 1 cited

On Exploiting Hotspot and Entropy for Data Forwarding in Delay Tolerant Networks

Peiyan Yuan, Huadong Ma, Shaojie Tang

Performance of data forwarding in Delay Tolerant Networks (DTNs) benefits considerably if one can make use of human mobility in terms of social structures. However, it is difficult…