Xiaoyang Qu

Orcid: 0009-0009-6311-4332

According to our database1, Xiaoyang Qu authored at least 57 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2024
Rule-Guided Counterfactual Explainable Recommendation.
IEEE Trans. Knowl. Data Eng., May, 2024

Water Network-Augmented Two-State Model for Protein-Ligand Binding Affinity Prediction.
J. Chem. Inf. Model., 2024

Enhancing Generalizability in Protein-Ligand Binding Affinity Prediction with Multimodal Contrastive Learning.
J. Chem. Inf. Model., 2024

Value-Driven Mixed-Precision Quantization for Patch-Based Inference on Microcontrollers.
CoRR, 2024

INCPrompt: Task-Aware incremental Prompting for Rehearsal-Free Class-incremental Learning.
CoRR, 2024

P2DT: Mitigating Forgetting in task-incremental Learning with progressive prompt Decision Transformer.
CoRR, 2024

2023
GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution Detection.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

EdgeMA: Model Adaptation System for Real-Time Video Analytics on Edge Devices.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Feature-Rich Audio Model Inversion for Data-Free Knowledge Distillation Towards General Sound Classification.
Proceedings of the IEEE International Conference on Acoustics, 2023

Detecting Out-of-Distribution Examples Via Class-Conditional Impressions Reappearing.
Proceedings of the IEEE International Conference on Acoustics, 2023

Shoggoth: Towards Efficient Edge-Cloud Collaborative Real-Time Video Inference via Adaptive Online Learning.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022
Systematic Improvement of the Performance of Machine Learning Scoring Functions by Incorporating Features of Protein-Bound Water Molecules.
J. Chem. Inf. Model., 2022

Boosting Star-GANs for Voice Conversion with Contrastive Discriminator.
CoRR, 2022

Learning Invariant Representation and Risk Minimized for Unsupervised Accent Domain Adaptation.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Adaptive Few-Shot Learning Algorithm for Rare Sound Event Detection.
Proceedings of the International Joint Conference on Neural Networks, 2022

DT-SV: A Transformer-based Time-domain Approach for Speaker Verification.
Proceedings of the International Joint Conference on Neural Networks, 2022

Leveraging Causal Inference for Explainable Automatic Program Repair.
Proceedings of the International Joint Conference on Neural Networks, 2022

QSpeech: Low-Qubit Quantum Speech Application Toolkit.
Proceedings of the International Joint Conference on Neural Networks, 2022

Blur the Linguistic Boundary: Interpreting Chinese Buddhist Sutra in English via Neural Machine Translation.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Boosting StarGANs for Voice Conversion with Contrastive Discriminator.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

r-G2P: Evaluating and Enhancing Robustness of Grapheme to Phoneme Conversion by Controlled Noise Introducing and Contextual Information Incorporation.
Proceedings of the IEEE International Conference on Acoustics, 2022

Supervised Contrastive Meta-learning for Few-Shot Classification.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

Adaptive Sparse and Monotonic Attention for Transformer-based Automatic Speech Recognition.
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

Pose Guided Human Image Synthesis with Partially Decoupled GAN.
Proceedings of the Asian Conference on Machine Learning, 2022

2021
Case Study of Few-Shot Learning in Text Recognition Models.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

Variational Information Bottleneck for Effective Low-Resource Audio Classification.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Speech2Video: Cross-Modal Distillation for Speech to Video Generation.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

ICSpk: Interpretable Complex Speaker Embedding Extractor from Raw Waveform.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Effective Phase Encoding for End-To-End Speaker Verification.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Federated Learning with Dynamic Transformer for Text to Speech.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

CACnet: Cube Attentional CNN for Automatic Speech Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2021

Contrastive Learning for improving End-to-end Speaker Verification.
Proceedings of the International Joint Conference on Neural Networks, 2021

Enhancing Neural Architecture Search by Upgrading Weak Components.
Proceedings of the International Joint Conference on Neural Networks, 2021

Automatic Joint Optimization of Algorithm-Level Compression and Compiler-Based Acceleration with Reinforcement Learning for DNN in Edge Devices.
Proceedings of the International Joint Conference on Neural Networks, 2021

Communication-Memory-Efficient Decentralized Learning For Audio Representation.
Proceedings of the International Joint Conference on Neural Networks, 2021

When Hearing the Voice, Who Will Come to Your Mind.
Proceedings of the International Joint Conference on Neural Networks, 2021

Quantum Convolutional Neural Network on Protein Distance Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2021

Enhancing Data-Free Adversarial Distillation with Activation Regularization and Virtual Interpolation.
Proceedings of the IEEE International Conference on Acoustics, 2021

Neural Architecture Search as Self-assessor in Semi-supervised Learning.
Proceedings of the Big Data - 9th CCF Conference, 2021

2020
3D Point Cloud Segmentation for Complex Structure Based on PointSIFT.
Proceedings of the Pattern Recognition and Computer Vision, Third Chinese Conference, 2020

Evolutionary Algorithm Enhanced Neural Architecture Search for Text-Independent Speaker Verification.
Proceedings of the Interspeech 2020, 2020

Multi-objective Cuckoo Algorithm for Mobile Devices Network Architecture Search.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

Quantization and Knowledge Distillation for Efficient Federated Learning on Edge Devices.
Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

ParallelNAS: A Parallel and Distributed System for Neural Architecture Search.
Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

Image Compressed Sensing Using Neural Architecture Search.
Proceedings of the Big Data - 8th CCF Conference, 2020

D-GHNAS for Joint Intent Classification and Slot Filling.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

2018
Workload Scheduling for Massive Storage Systems with Arbitrary Renewable Supply.
IEEE Trans. Parallel Distributed Syst., 2018

一种基于新能源驱动的存储系统的能耗优化方案 (Energy Consumption Optimization Scheme for New Energy-driven Storage System).
计算机科学, 2018

2017
A reliable and energy-efficient storage system with erasure coding cache.
Frontiers Inf. Technol. Electron. Eng., 2017

Exploiting Virtual Metadata Servers to Provide Multi-Level Consistency for Key-Value Object-Based Data Store.
Proceedings of the 2017 International Conference on Networking, Architecture, and Storage, 2017

DEFT-Cache: A Cost-Effective and Highly Reliable SSD Cache for RAID Storage.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

OptiMatch: Enabling an Optimal Match between Green Power and Various Workloads for Renewable-Energy Powered Storage Systems.
Proceedings of the 46th International Conference on Parallel Processing, 2017

2016
DVS: Dynamic Variable-Width Striping RAID for Shingled Write Disks.
Proceedings of the IEEE International Conference on Networking, 2016

CircularCache: Scalable and Adaptive Cache Management for Massive Storage Systems.
Proceedings of the IEEE International Conference on Networking, 2016

GreenMatch: Renewable-Aware Workload Scheduling for Massive Storage Systems.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

2015
ThinRAID: Thinning Down RAID Array for Energy Conservation.
IEEE Trans. Parallel Distributed Syst., 2015


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