11 citations · 30 across the 12 of their papers we have counts for
12 papers
Multi-Point Integrated Sensing and Communication: Fusion Model and Functionality Selection
Guoliang Li, Shuai Wang, Kejiang Ye +3
Integrated sensing and communication (ISAC) represents a paradigm shift, where previously competing wireless transmissions are jointly designed to operate in harmony via the shared…
Stochastic Gradient Descent without Full Data Shuffle
Lijie Xu, Shuang Qiu, Binhang Yuan +9
Stochastic gradient descent (SGD) is the cornerstone of modern machine learning (ML) systems. Despite its computational efficiency, SGD requires random data access that is inherent…
nvBench: A Large-Scale Synthesized Dataset for Cross-Domain Natural Language to Visualization Task
Yuyu Luo, Jiawei Tang, Guoliang Li
NL2VIS - which translates natural language (NL) queries to corresponding visualizations (VIS) - has attracted more and more attention both in commercial visualization vendors and a…
Recurrent multiple shared layers in Depth for Neural Machine Translation
GuoLiang Li, Yiyang Li
Learning deeper models is usually a simple and effective approach to improve model performance, but deeper models have larger model parameters and are more difficult to train. To g…
Residual Tree Aggregation of Layers for Neural Machine Translation
GuoLiang Li, Yiyang Li
Although attention-based Neural Machine Translation has achieved remarkable progress in recent layers, it still suffers from issue of making insufficient use of the output of each…
Accelerating Edge Intelligence via Integrated Sensing and Communication
Tong Zhang, Shuai Wang, Guoliang Li +3
Realizing edge intelligence consists of sensing, communication, training, and inference stages. Conventionally, the sensing and communication stages are executed sequentially, whic…
Representation Learning from Limited Educational Data with Crowdsourced Labels
Wentao Wang, Guowei Xu, Wenbiao Ding +4
Representation learning has been proven to play an important role in the unprecedented success of machine learning models in numerous tasks, such as machine translation, face recog…
Technical Report: Optimizing Human Involvement for Entity Matching and Consolidation
Ji Sun, Dong Deng, Ihab Ilyas +5
An end-to-end data integration system requires human feedback in several phases, including collecting training data for entity matching, debugging the resulting clusters, confirmin…
Crowd-Powered Data Mining
Chengliang Chai, Ju Fan, Guoliang Li +2
Many data mining tasks cannot be completely addressed by auto- mated processes, such as sentiment analysis and image classification. Crowdsourcing is an effective way to harness th…
PANDA: Facilitating Usable AI Development
Jinyang Gao, Wei Wang, Meihui Zhang +7
Recent advances in artificial intelligence (AI) and machine learning have created a general perception that AI could be used to solve complex problems, and in some situations over-…
RFP: A Remote Fetching Paradigm for RDMA-Accelerated Systems
Maomeng Su, Mingxing Zhang, Kang Chen +2
Remote Direct Memory Access (RDMA) is an efficient way to improve the performance of traditional client-server systems. Currently, there are two main design paradigms for RDMA-acce…
Breaking Out The XML MisMatch Trap
Yong Zeng, Zhifeng Bao, Guoliang Li +2
In keyword search, when user cannot get what she wants, query refinement is needed and reason can be various. We first give a thorough categorization of the reason, then focus on s…