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07/21/2023
Advancing Ad Auction Realism: Practical Insights Modeling Implications
This paper proposes a learning model of online ad auctions that allows f...
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07/14/2023
Streaming CTR Prediction: Rethinking Recommendation Task for Real-World Streaming Data
The Click-Through Rate (CTR) prediction task is critical in industrial r...
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03/21/2023
VideoXum: Cross-modal Visual and Textural Summarization of Videos
Video summarization aims to distill the most important information from ...
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12/03/2022
The RoyalFlush System for the WMT 2022 Efficiency Task
This paper describes the submission of the RoyalFlush neural machine tra...
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10/19/2022
Hybrid-Regressive Neural Machine Translation
In this work, we empirically confirm that non-autoregressive translation...
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09/19/2022
Learning Decoupled Retrieval Representation for Nearest Neighbour Neural Machine Translation
K-Nearest Neighbor Neural Machine Translation (kNN-MT) successfully inco...
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08/23/2022
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results
This paper reviews the Challenge on Super-Resolution of Compressed Image...
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08/17/2022
Field-wise Embedding Size Search via Structural Hard Auxiliary Mask Pruning for Click-Through Rate Prediction
Feature embeddings are one of the most essential steps when training dee...
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08/16/2022
MSE-Based Transceiver Designs for RIS-Aided Communications With Hardware Impairments
It is challenging to precisely configure the phase shifts of the reflect...
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07/29/2022
Reweighted Manifold Learning of Collective Variables from Enhanced Sampling Simulations
Enhanced sampling methods are indispensable in computational physics and...
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07/14/2022
A DNS Tunnel Sliding Window Differential Detection Method Based on Normal Distribution Reasonable Range Filtering
A covert attack method often used by APT organizations is the DNS tunnel...
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06/07/2022
Learning Symbolic Operators: A Neurosymbolic Solution for Autonomous Disassembly of Electric Vehicle Battery
The booming of electric vehicles demands efficient battery disassembly f...
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05/16/2022
Autonomous Electric Vehicle Battery Disassembly Based on NeuroSymbolic Computing
The booming of electric vehicles demands efficient battery disassembly f...
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02/17/2022
Colonoscopy polyp detection with massive endoscopic images
We improved an existing end-to-end polyp detection model with better ave...
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01/18/2022
Online Time Series Anomaly Detection with State Space Gaussian Processes
We propose r-ssGPFA, an unsupervised online anomaly detection model for ...
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04/30/2021
Energy Efficient Reconfigurable Intelligent Surface Enabled Mobile Edge Computing Networks with NOMA
Reconfigurable intelligent surface (RIS) has emerged as a promising tech...
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04/05/2021
FocusNetv2: Imbalanced Large and Small Organ Segmentation with Adversarial Shape Constraint for Head and Neck CT Images
Radiotherapy is a treatment where radiation is used to eliminate cancer ...
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01/31/2021
Infant Cry Classification with Graph Convolutional Networks
We propose an approach of graph convolutional networks for robust infant...
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12/24/2020
Optimal Resource Allocation for Multi-UAV Assisted Visible Light Communication
In this paper, the optimization of deploying unmanned aerial vehicles (U...
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11/02/2020
Joint Location and Power Optimization for THz-enabled UAV Communications
In this paper, the problem of unmanned aerial vehicle (UAV) deployment a...
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10/24/2020
Differentiate Quality of Experience Scheduling for Deep Learning Applications with Docker Containers in the Cloud
With the prevalence of big-data-driven applications, such as face recogn...
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10/01/2020
WeChat Neural Machine Translation Systems for WMT20
We participate in the WMT 2020 shared news translation task on Chinese t...
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09/15/2020
Improve black-box sequential anomaly detector relevancy with limited user feedback
Anomaly detectors are often designed to catch statistical anomalies. End...
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07/23/2020
SBAT: Video Captioning with Sparse Boundary-Aware Transformer
In this paper, we focus on the problem of applying the transformer struc...
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07/04/2020
Simple and Deep Graph Convolutional Networks
Graph convolutional networks (GCNs) are a powerful deep learning approac...
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06/03/2020
Cooperative Rate-Splitting for Secrecy Sum-Rate Enhancement in Multi-antenna Broadcast Channels
In this paper, we employ Cooperative Rate-Splitting (CRS) technique to e...
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02/26/2020
AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations
Deep learning based recommender systems (DLRSs) often have embedding lay...
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11/01/2019
Six constructions of asymptotically optimal codebooks via the character sums
In this paper, using additive characters of finite field, we find a code...
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08/02/2019
A Caching Strategy Towards Maximal D2D Assisted Offloading Gain
Device-to-Device (D2D) communications incorporated with content caching ...
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07/28/2019
FocusNet: Imbalanced Large and Small Organ Segmentation with an End-to-End Deep Neural Network for Head and Neck CT Images
In this paper, we propose an end-to-end deep neural network for solving ...
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05/06/2019
Two constructions of asymptotically optimal codebooks via the trace functions
In this paper, we present two new constructions of complex codebooks wit...
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09/08/2018
Improving Wireless Physical Layer Security via D2D Communication
This paper investigates the physical layer security issue of a device-to...
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07/26/2018
Performance Analysis of User-centric Virtual Cell Dense Networks over mmWave Channels
This paper analyzes the ergodic capacity of a user-centric virtual cell ...
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06/11/2018
Scalable Overload Control for Large-scale Microservice Architecture
Effective overload control for large-scale online service system is cruc...
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06/06/2018
Joint Altitude, Beamwidth, Location and Bandwidth Optimization for UAV-Enabled Communications
This letter investigates an uplink power control problem for unmanned ae...
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06/06/2018
Cache Placement in Two-Tier HetNets with Limited Storage Capacity: Cache or Buffer?
In this paper, we aim to minimize the average file transmission delay vi...
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04/23/2018
Robust Beamforming with Pilot Reuse Scheduling in a Heterogeneous Cloud Radio Access Network
This paper considers a downlink ultra-dense heterogeneous cloud radio ac...
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04/14/2018
Robust Transmission Design for Multi-Cell D2D Underlaid Cellular Networks
This paper investigates the robust transmission design (RTD) of a multi-...
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03/13/2018
Compressive Sensing Based User Clustering for Downlink NOMA Systems with Decoding Power
This letter investigates joint power control and user clustering for dow...
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02/14/2018
Optimal Fairness-Aware Time and Power Allocation in Wireless Powered Communication Networks
In this paper, we consider the sum α-fair utility maximization problem f...
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11/29/2017
