665 citations · 3.5k across the 62 of their papers we have counts for
8 papers · 1 filter
Lattice-mismatched semiconductor heterostructures
Dong Liu, Sang June Cho, Jung-Hun Seo +19
Semiconductor heterostructure is a critical building block for modern semiconductor devices. However, forming semiconductor heterostructures of lattice-mismatch has been a great ch…
Caching at the Wireless Edge: Design Aspects, Challenges and Future Directions
Dong Liu, Binqiang Chen, Chenyang Yang +1
Caching at the wireless edge is a promising way of boosting spectral efficiency and reducing energy consumption of wireless systems. These improvements are rooted in the fact that…
Endowing Robots with Longer-term Autonomy by Recovering from External Disturbances in Manipulation through Grounded Anomaly Classification and Recovery Policies
Hongmin Wu, Shuangqi Luo, Longxin Chen +5
Robot manipulation is increasingly poised to interact with humans in co-shared workspaces. Despite increasingly robust manipulation and control algorithms, failure modes continue t…
DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification
Xiaofeng Zhang, Zhangyang Wang, Dong Liu +1
Deep learning has revolutionized the performance of classification, but meanwhile demands sufficient labeled data for training. Given insufficient data, while many techniques have…
IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks
Ke Sun, Mingjie Li, Dong Liu +1
In this paper, we are interested in building lightweight and efficient convolutional neural networks. Inspired by the success of two design patterns, composition of structured spar…
Fully Convolutional Adaptation Networks for Semantic Segmentation
Yiheng Zhang, Zhaofan Qiu, Ting Yao +2
The recent advances in deep neural networks have convincingly demonstrated high capability in learning vision models on large datasets. Nevertheless, collecting expert labeled data…
When Exploiting Individual User Preference Is Beneficial for Caching at Base Stations
Dong Liu, Chenyang Yang, Victor C. M. Leung
Most of prior works optimize caching policies based on the following assumptions: 1) every user initiates request according to content popularity, 2) all users are with the same ac…
A Learning-based Approach to Joint Content Caching and Recommendation at Base Stations
Dong Liu, Chenyang Yang
Recommendation system is able to shape user demands, which can be used for boosting caching gain. In this paper, we jointly optimize content caching and recommendation at base stat…