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09/21/2023
The Impact of Silence on Speech Anti-Spoofing
The current speech anti-spoofing countermeasures (CMs) show excellent pe...
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09/19/2023
Visible and NIR Image Fusion Algorithm Based on Information Complementarity
Visible and near-infrared(NIR) band sensors provide images that capture ...
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06/10/2023
An Empirical Study of Bugs in Quantum Machine Learning Frameworks
Quantum computing has emerged as a promising domain for the machine lear...
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05/27/2023
WELL: Applying Bug Detectors to Bug Localization via Weakly Supervised Learning
Bug localization, which is used to help programmers identify the locatio...
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05/22/2023
Progressive Sub-Graph Clustering Algorithm for Semi-Supervised Domain Adaptation Speaker Verification
Utilizing the large-scale unlabeled data from the target domain via pseu...
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05/22/2023
The HCCL system for VoxCeleb Speaker Recognition Challenge 2022
This report describes our submission to track1 and track3 for VoxCeleb S...
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05/06/2023
Self-Edit: Fault-Aware Code Editor for Code Generation
Large language models (LLMs) have demonstrated an impressive ability to ...
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05/06/2023
ToolCoder: Teach Code Generation Models to use API search tools
Automatically generating source code from natural language descriptions ...
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04/10/2023
QChecker: Detecting Bugs in Quantum Programs via Static Analysis
Static analysis is the process of analyzing software code without execut...
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03/14/2023
Implant Global and Local Hierarchy Information to Sequence based Code Representation Models
Source code representation with deep learning techniques is an important...
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03/01/2023
PCF: ECAPA-TDNN with Progressive Channel Fusion for Speaker Verification
ECAPA-TDNN is currently the most popular TDNN-series model for speaker v...
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01/27/2023
Neural Episodic Control with State Abstraction
Existing Deep Reinforcement Learning (DRL) algorithms suffer from sample...
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01/22/2023
CodeScore: Evaluating Code Generation by Learning Code Execution
A proper code evaluation metric (CEM) profoundly impacts the evolution o...
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12/16/2022
Convolution-enhanced Evolving Attention Networks
Attention-based neural networks, such as Transformers, have become ubiqu...
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10/31/2022
CodeEditor: Learning to Edit Source Code with Pre-trained Models
Developers often perform repetitive code editing activities for various ...
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10/31/2022
Poison Attack and Defense on Deep Source Code Processing Models
In the software engineering community, deep learning (DL) has recently b...
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10/13/2022
Deepfake Detection System for the ADD Challenge Track 3.2 Based on Score Fusion
This paper describes the deepfake audio detection system submitted to th...
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08/05/2022
Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification
Imbalanced data pose challenges for deep learning based classification m...
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07/11/2022
The HCCL System for the NIST SRE21
This paper describes the systems developed by the HCCL team for the NIST...
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07/05/2022
Toward Explainable and Fine-Grained 3D Grounding through Referring Textual Phrases
Recent progress on 3D scene understanding has explored visual grounding ...
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04/25/2022
Back-ends Selection for Deep Speaker Embeddings
Probabilistic Linear Discriminant Analysis (PLDA) was the dominant and n...
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04/01/2022
Graph Enhanced Contrastive Learning for Radiology Findings Summarization
The impression section of a radiology report summarizes the most promine...
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12/14/2021
Explore Long-Range Context feature for Speaker Verification
Capturing long-range dependency and modeling long temporal contexts is p...
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07/03/2021
The HCCL Speaker Verification System for Far-Field Speaker Verification Challenge
This paper describes the systems submitted by team HCCL to the Far-Field...
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05/11/2021
Smart Name Lookup for NDN Forwarding Plane via Neural Networks
Name lookup is a key technology for the forwarding plane of content rout...
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03/11/2021
SDN Controller Load Balancing Based on Reinforcement Learning
Aiming at the local overload of multi-controller deployment in software-...
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02/09/2021
Rethinking Ranking-based Loss Functions: Only Penalizing Negative Instances before Positive Ones is Enough
Optimising the approximation of Average Precision (AP) has been widely s...
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01/20/2021
A Search-Based Testing Framework for Deep Neural Networks of Source Code Embedding
Over the past few years, deep neural networks (DNNs) have been continuou...
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08/18/2020
Robust Handwriting Recognition with Limited and Noisy Data
Despite the advent of deep learning in computer vision, the general hand...
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12/19/2019
Overcoming Long-term Catastrophic Forgetting through Adversarial Neural Pruning and Synaptic Consolidation
Enabling a neural network to sequentially learn multiple tasks is of gre...
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11/27/2019
A Survey of Mobile Edge Computing in the Industrial Internet
With the advent of a new round of the Industrial Revolution, the Industr...
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09/06/2019
Prediction and Communication Co-design for Ultra-Reliable and Low-Latency Communications
Ultra-reliable and low-latency communications (URLLC) are considered as ...
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12/04/2018
Overcoming Catastrophic Forgetting by Soft Parameter Pruning
Catastrophic forgetting is a challenge issue in continual learning when ...
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11/27/2018
Understanding the Importance of Single Directions via Representative Substitution
Understanding the internal representations of deep neural networks (DNNs...
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12/01/2017
Capacity-Achievability of Polar Codes and Precoded Polar Codes under List Decoding: They are Good both Practically and Theoretically
Polar codes under successive cancellation decoding proposed by Arıkan pr...
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10/25/2007