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Xiaoyang Qu
Publications
Cocktait:Chunk-AdaptiveMixed-PrecisionOuanization for Long-Context LLM inference
(2024) In
DATE2025
(CCF-B)
ESARM: 3D Emotional Speech-To-Animation via Reward Model From Automatically-Ranked Demonstrations
(2024) In
HPCC2024
(CCF-C)
Incremental Label Distribution Learning With Scalable Graph Convolutional Networks
(2024) In
HPCC2024
(CCF-C)
FormerReckoning: Physics Inspired Transformer for Accurate Inertial Navigation
(2024) In
PICASSO2024
Beyond Aggregation: Efficient Federated Model Consolidation with Heterogeneity-Adaptive Weights Diffusion
(2024) In
CIKM2024
(CCF-B)
Retrieval-Augmented Audio Deepfake Detection
(2024) In
ICMR2024
(CCF-B)
Enhancing Anomalous Sound Detection with Multi-Level Memory Bank
(2024) In
IJCNN2024
(CCF-C)
PRENet: A Plane-Fit Redundancy Encoding Point Cloud Sequence Network for Real-Time 3D Action Recognition
(2024) In
IJCNN2024
(CCF-C)
Task-Agnostic Decision Transformer for Multi-Type Agent Control with Federated Split Training
(2024) In
IJCNN2024
(CCF-C)
Gecko: Resource-Efficient and Accurate Queries in Real-Time Video Streams at the Edge
(2024) In
INFOCOM2024
(CCF-A)
INCPrompt: Task-Aware Incremental Prompting for Rehearsal-Free Class-incremental Learning
(2024) In
ICASSP2024
(CCF-B)
P2DT: Mitigating Forgetting in Task-Incremental Learning with Progressive Prompt Decision Transformer
(2024) In
ICASSP2024
(CCF-B)
Value-Driven Mixed-Precision Quantization for Patch-Based Inference on Microcontrollers
(2024) In
DATE2024
(CCF-B)
FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer
(2023) In
IJCAI2023
(CCF-A)
GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution Detection
(2023) In
NeurIPS2023
(CCF-A)
Shoggoth: Towards Efficient Edge-Cloud Collaborative Real-Time Video Inference via Adaptive Online Learning
(2023) In
DAC2023
(CCF-A)
EdgeMA: Model Adaptation System for Real-Time Video Analytics on Edge Devices
(2023) In
ICONIP2023
(CCF-C)
Feature-Rich Audio Model Inversion for Data-Free Knowledge Distillation Towards General Sound Classification
(2023) In
ICASSP2023
(CCF-B)
Boosting Star-GANs for Voice Conversion with Contrastive Discriminator
(2022) In
ICONIP2022
(CCF-C)
Adaptive Few-Shot Learning Algorithm for Rare Sound Event Detection
(2022) In
IJCNN2022
(CCF-C)
Adaptive Sparse and Monotonic Attention for Transformer-based Automatic Speech Recognition
(2022) In
DSAA2022
(CCF-C)
Blur the Linguistic Boundary: Interpreting Chinese Buddhist Sutra in English via Neural Machine Translation
(2022) In
ICTAI2022
(CCF-C)
DT-SV: A Transformer-based Time-domain Approach for Speaker Verification
(2022) In
IJCNN2022
(CCF-C)
Learning Invariant Representation and Risk Minimized for Unsupervised Accent Domain Adaptation
(2022) In
SLT2022
Leveraging Causal Inference for Explainable Automatic Program Repair
(2022) In
IJCNN2022
(CCF-C)
Pose Guided Human Image Synthesis with Partially Decoupled GAN
(2022) In
ACML2022
(CCF-C)
QSpeech: Low-Qubit Quantum Speech Application Toolkit
(2022) In
IJCNN2022
(CCF-C)
r-G2P: Evaluating and Enhancing Robustness of Grapheme to Phoneme Conversion by Controlled Noise Introducing and Contextual Information Incorporation
(2022) In
ICASSP2022
(CCF-B)
Supervised Contrastive Meta-learning for Few-Shot Classification
(2022) In
HPCC2022
(CCF-C)
Speech2Video: Cross-Modal Distillation for Speech to Video Generation
(2021) In
INTERSPEECH2021
(CCF-C)
Variational Information Bottleneck for Effective Low-Resource Audio Classification
(2021) In
INTERSPEECH2021
(CCF-C)
CACnet: Cube Attentional CNN for Automatic Speech Recognition
(2021) In
IJCNN2021
(CCF-C)
Automatic Joint Optimization of Algorithm-Level Compression and Compiler-Based Acceleration with Reinforcement Learning for DNN in Edge Devices
(2021) In
IJCNN2021
(CCF-C)
Case Study of Few-Shot Learning in Text Recognition Models
(2021) In
WISE2021
(CCF-C)
Communication-Memory-Efficient Decentralized Learning For Audio Representation
(2021) In
IJCNN2021
(CCF-C)
Contrastive Learning for improving End-to-end Speaker Verification
(2021) In
IJCNN2021
(CCF-C)
Effective Phase Encoding for End-To-End Speaker Verification
(2021) In
INTERSPEECH2021
(CCF-C) (Best Student Paper Award)
Enhancing Data-Free Adversarial Distillation with Activation Regularization and Virtual Interpolation
(2021) In
ICASSP2021
(CCF-B)
Enhancing Neural Architecture Search by Upgrading Weak Components
(2021) In
IJCNN2021
(CCF-C)
Federated Learning with Dynamic Transformer for Text to Speech
(2021) In
INTERSPEECH2021
(CCF-C)
ICSpk: Interpretable Complex Speaker Embedding Extractor from Raw Waveform
(2021) In
INTERSPEECH2021
(CCF-C)
Neural Architecture Search as Self-assessor in Semi-supervised Learning
(2021) In
BigData2021
(CCF-C)
Quantum Convolutional Neural Network on Protein Distance Prediction
(2021) In
IJCNN2021
(CCF-C)
When Hearing the Voice, Who Will Come to Your Mind
(2021) In
IJCNN2021
(CCF-C)
3D Point Cloud Segmentation for Complex Structure Based on PointSIFT
(2020) In
PRCV2020
(CCF-C)
D-GHNAS for Joint Intent Classification and Slot Filling
(2020) In
APWeb-WAIM2020
(CCF-C)
Evolutionary Algorithm Enhanced Neural Architecture Search for Text-Independent Speaker Verification
(2020) In
INTERSPEECH2020
(CCF-C)
Image Compressed Sensing Using Neural Architecture Search
(2020) In
BigData2020
Multi-objective Cuckoo Algorithm for Mobile Devices Network Architecture Search
(2020) In
ICANN2020
(CCF-C)
ParallelNAS: A Parallel and Distributed System for Neural Architecture Search
(2020) In
HPCC2020
(CCF-C)
Quantization and Knowledge Distillation for Efficient Federated Learning on Edge Devices
(2020) In
HPCC2020
(CCF-C)
Events
ICMR 2024
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