ThinRAID: Thinning Down RAID Array for Energy Conservation. - Jiguang Wan 001; Xiaoyang Qu; Nannan Zhao; Jun Wang 001; Changsheng Xie (IEEE Trans. Parallel Distributed Syst., 2015)

GreenMatch: Renewable-Aware Workload Scheduling for Massive Storage Systems. - Xiaoyang Qu; Jiguang Wan 001; Jun Wang 001; Liqiong Liu; Dan Luo; Changsheng Xie (IPDPS, 2016)

CircularCache: Scalable and Adaptive Cache Management for Massive Storage Systems. - Liqiong Liu; Xiaoyang Qu; Yubiao Zhang; Xiaodong Yi 003; Siwang Zeng; Jiguang Wan 001; Changsheng Xie (NAS, 2016)

DVS: Dynamic Variable-Width Striping RAID for Shingled Write Disks. - Dan Luo; Ting Yao; Xiaoyang Qu; Jiguang Wan 001; Changsheng Xie (NAS, 2016)

OptiMatch: Enabling an Optimal Match between Green Power and Various Workloads for Renewable-Energy Powered Storage Systems. - Xiaoyang Qu; Jiguang Wan 001; Fengguang Song; Xiaozhao Zhuang; Fei Wu 005; Changsheng Xie (ICPP, 2017)

DEFT-Cache: A Cost-Effective and Highly Reliable SSD Cache for RAID Storage. - Jiguang Wan 001; Wei Wu; Ling Zhan; Qing Yang 001; Xiaoyang Qu; Changsheng Xie (IPDPS, 2017)

Exploiting Virtual Metadata Servers to Provide Multi-Level Consistency for Key-Value Object-Based Data Store. - Xiaozhao Zhuang; Xiaoyang Qu; Zhiyong Lu; Jiguang Wan 001; Changsheng Xie (NAS, 2017)

A reliable and energy-efficient storage system with erasure coding cache. - Jiguang Wan 001; Daping Li; Xiaoyang Qu; Chao Yin; Jun Wang 001; Changsheng Xie (Frontiers Inf. Technol. Electron. Eng., 2017)

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). - Xiaozhao Zhuang; Jiguang Wan 001; Yiwen Zhang; Xiaoyang Qu (计算机科学, 2018)

Workload Scheduling for Massive Storage Systems with Arbitrary Renewable Supply. - Daping Li; Xiaoyang Qu; Jiguang Wan 001; Jun Wang 001; Yang Xia; Xiaozhao Zhuang; Changsheng Xie (IEEE Trans. Parallel Distributed Syst., 2018)

D-GHNAS for Joint Intent Classification and Slot Filling. - Yanxi Tang; Jianzong Wang; Xiaoyang Qu; Nan Zhang; Jing Xiao 006 (APWeb/WAIM (1), 2020)

Image Compressed Sensing Using Neural Architecture Search. - Nan Zhang; Jianzong Wang; Xiaoyang Qu; Jing Xiao 006 (Big Data (CCF), 2020)

ParallelNAS: A Parallel and Distributed System for Neural Architecture Search. - Xiaoyang Qu; Jianzong Wang; Jing Xiao 006 (HPCC/DSS/SmartCity, 2020)

Quantization and Knowledge Distillation for Efficient Federated Learning on Edge Devices. - Xiaoyang Qu; Jianzong Wang; Jing Xiao 006 (HPCC/DSS/SmartCity, 2020)

Multi-objective Cuckoo Algorithm for Mobile Devices Network Architecture Search. - Nan Zhang; Jianzong Wang; Jian Yang; Xiaoyang Qu; Jing Xiao 006 (ICANN (1), 2020)

Evolutionary Algorithm Enhanced Neural Architecture Search for Text-Independent Speaker Verification. - Xiaoyang Qu; Jianzong Wang; Jing Xiao 006 (INTERSPEECH, 2020)

3D Point Cloud Segmentation for Complex Structure Based on PointSIFT. - Zeyuan Li; Jianzong Wang; Xiaoyang Qu; Jing Xiao 006 (PRCV (1), 2020)

Neural Architecture Search as Self-assessor in Semi-supervised Learning. - Zhenhou Hong; Jianzong Wang; Xiaoyang Qu; Chendong Zhao; Jie Liu; Jing Xiao 006 (Big Data (CCF), 2021)

Enhancing Data-Free Adversarial Distillation with Activation Regularization and Virtual Interpolation. - Xiaoyang Qu; Jianzong Wang; Jing Xiao 006 (ICASSP, 2021)

Quantum Convolutional Neural Network on Protein Distance Prediction. - Zhenhou Hong; Jianzong Wang; Xiaoyang Qu; Xinghua Zhu; Jie Liu; Jing Xiao 006 (IJCNN, 2021)

When Hearing the Voice, Who Will Come to Your Mind. - Zhenhou Hong; Jianzong Wang; Wenqi Wei; Jie Liu; Xiaoyang Qu; Bo Chen; Zihang Wei; Jing Xiao 006 (IJCNN, 2021)

Communication-Memory-Efficient Decentralized Learning For Audio Representation. - Leilai Li; Jianzong Wang; Xiaoyang Qu; Jing Xiao 006 (IJCNN, 2021)

Automatic Joint Optimization of Algorithm-Level Compression and Compiler-Based Acceleration with Reinforcement Learning for DNN in Edge Devices. - Jie Liu; Jianzong Wang; Xiaoyang Qu; Bo Chen; Zihang Wei; Jing Xiao 006 (IJCNN, 2021)

Enhancing Neural Architecture Search by Upgrading Weak Components. - Xiaoyang Qu; Jianzong Wang; Jie Liu; Jing Xiao 006 (IJCNN, 2021)

Contrastive Learning for improving End-to-end Speaker Verification. - Yanxi Tang; Jianzong Wang; Xiaoyang Qu; Jing Xiao 006 (IJCNN, 2021)

CACnet: Cube Attentional CNN for Automatic Speech Recognition. - Nan Zhang; Jianzong Wang; Wenqi Wei; Xiaoyang Qu; Ning Cheng 001; Jing Xiao 006 (IJCNN, 2021)

Federated Learning with Dynamic Transformer for Text to Speech. - Zhenhou Hong; Jianzong Wang; Xiaoyang Qu; Jie Liu; Chendong Zhao; Jing Xiao 006 (Interspeech, 2021)

Effective Phase Encoding for End-To-End Speaker Verification. - Junyi Peng; Xiaoyang Qu; Rongzhi Gu; Jianzong Wang; Jing Xiao 006; Lukás Burget; Jan Cernocký (Interspeech, 2021)

ICSpk: Interpretable Complex Speaker Embedding Extractor from Raw Waveform. - Junyi Peng; Xiaoyang Qu; Jianzong Wang; Rongzhi Gu; Jing Xiao 006; Lukás Burget; Jan Cernocký (Interspeech, 2021)

Speech2Video: Cross-Modal Distillation for Speech to Video Generation. - Shijing Si; Jianzong Wang; Xiaoyang Qu; Ning Cheng 001; Wenqi Wei; Xinghua Zhu; Jing Xiao 006 (Interspeech, 2021)

Variational Information Bottleneck for Effective Low-Resource Audio Classification. - Shijing Si; Jianzong Wang; Huiming Sun; Jianhan Wu 001; Chuanyao Zhang; Xiaoyang Qu; Ning Cheng 001; Lei Chen; Jing Xiao 006 (Interspeech, 2021)

Case Study of Few-Shot Learning in Text Recognition Models. - Jianzong Wang; Shijing Si; Zhenhou Hong; Xiaoyang Qu; Xinghua Zhu; Jing Xiao 006 (WISE (2), 2021)

Pose Guided Human Image Synthesis with Partially Decoupled GAN. - Jianhan Wu 001; Shijing Si; Jianzong Wang; Xiaoyang Qu; Jing Xiao 006 (ACML, 2022)

Adaptive Sparse and Monotonic Attention for Transformer-based Automatic Speech Recognition. - Chendong Zhao; Jianzong Wang; Wenqi Wei; Xiaoyang Qu; Haoqian Wang; Jing Xiao 006 (DSAA, 2022)

Supervised Contrastive Meta-learning for Few-Shot Classification. - Chuanyao Zhang; Jianzong Wang; Zhangcheng Huang 002; Lingwei Kong; Xiaoyang Qu; Ning Cheng 001; Jing Xiao 006 (HPCC/DSS/SmartCity/DependSys, 2022)

r-G2P: Evaluating and Enhancing Robustness of Grapheme to Phoneme Conversion by Controlled Noise Introducing and Contextual Information Incorporation. - Chendong Zhao; Jianzong Wang; Xiaoyang Qu; Haoqian Wang; Jing Xiao 006 (ICASSP, 2022)

Boosting StarGANs for Voice Conversion with Contrastive Discriminator. - Shijing Si; Jianzong Wang; Xulong Zhang 001; Xiaoyang Qu; Ning Cheng 001; Jing Xiao 006 (ICONIP (2), 2022)

Blur the Linguistic Boundary: Interpreting Chinese Buddhist Sutra in English via Neural Machine Translation. - Denghao Li; Yuqiao Zeng; Jianzong Wang; Lingwei Kong; Zhangcheng Huang 002; Ning Cheng 001; Xiaoyang Qu; Jing Xiao 006 (ICTAI, 2022)

QSpeech: Low-Qubit Quantum Speech Application Toolkit. - Zhenhou Hong; Jianzong Wang; Xiaoyang Qu; Chendong Zhao; Wei Tao; Jing Xiao 006 (IJCNN, 2022)

Leveraging Causal Inference for Explainable Automatic Program Repair. - Jianzong Wang; Shijing Si; Zhitao Zhu; Xiaoyang Qu; Zhenhou Hong; Jing Xiao 006 (IJCNN, 2022)

DT-SV: A Transformer-based Time-domain Approach for Speaker Verification. - Nan Zhang; Jianzong Wang; Zhenhou Hong; Chendong Zhao; Xiaoyang Qu; Jing Xiao 006 (IJCNN, 2022)

Adaptive Few-Shot Learning Algorithm for Rare Sound Event Detection. - Chendong Zhao; Jianzong Wang; Leilai Li; Xiaoyang Qu; Jing Xiao 006 (IJCNN, 2022)

Learning Invariant Representation and Risk Minimized for Unsupervised Accent Domain Adaptation. - Chendong Zhao; Jianzong Wang; Xiaoyang Qu; Haoqian Wang; Jing Xiao 006 (SLT, 2022)

Boosting Star-GANs for Voice Conversion with Contrastive Discriminator. - Shijing Si; Jianzong Wang; Xulong Zhang 001; Xiaoyang Qu; Ning Cheng 001; Jing Xiao 006 (CoRR, 2022)

Systematic Improvement of the Performance of Machine Learning Scoring Functions by Incorporating Features of Protein-Bound Water Molecules. - Xiaoyang Qu; Lina Dong; Jinyan Zhang; Yubing Si; Binju Wang (J. Chem. Inf. Model., 2022)

Shoggoth: Towards Efficient Edge-Cloud Collaborative Real-Time Video Inference via Adaptive Online Learning. - Liang Wang 057; Kai Lu 002; Nan Zhang; Xiaoyang Qu; Jianzong Wang; Jiguang Wan 001; Guokuan Li; Jing Xiao 006 (DAC, 2023)

Detecting Out-of-Distribution Examples Via Class-Conditional Impressions Reappearing. - Jinggang Chen; Xiaoyang Qu; Junjie Li; Jianzong Wang; Jiguang Wan 001; Jing Xiao 006 (ICASSP, 2023)

Feature-Rich Audio Model Inversion for Data-Free Knowledge Distillation Towards General Sound Classification. - Zuheng Kang; Yayun He; Jianzong Wang; Junqing Peng; Xiaoyang Qu; Jing Xiao 006 (ICASSP, 2023)

EdgeMA: Model Adaptation System for Real-Time Video Analytics on Edge Devices. - Liang Wang 057; Nan Zhang; Xiaoyang Qu; Jianzong Wang; Jiguang Wan 001; Guokuan Li; Kaiyu Hu; Guilin Jiang; Jing Xiao 006 (ICONIP (1), 2023)

FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer. - Chenghao Liu; Xiaoyang Qu; Jianzong Wang; Jing Xiao 006 (IJCAI, 2023)

GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution Detection. - Jinggang Chen; Junjie Li; Xiaoyang Qu; Jianzong Wang; Jiguang Wan 001; Jing Xiao 006 (NeurIPS, 2023)

Beyond Aggregation: Efficient Federated Model Consolidation with Heterogeneity-Adaptive Weights Diffusion. - Jiaqi Li; Xiaoyang Qu; Wenbo Ding 001; Zihao Zhao 001; Jianzong Wang (CIKM, 2024)

Value-Driven Mixed-Precision Quantization for Patch-Based Inference on Microcontrollers. - Wei Tao; Shenglin He; Kai Lu 002; Xiaoyang Qu; Guokuan Li; Jiguang Wan 001; Jianzong Wang; Jing Xiao 006 (DATE, 2024)

INCPrompt: Task-Aware Incremental Prompting for Rehearsal-Free Class-Incremental Learning. - Zhiyuan Wang; Xiaoyang Qu; Jing Xiao 006; Bokui Chen; Jianzong Wang (ICASSP, 2024)

P2DT: Mitigating Forgetting in Task-Incremental Learning with Progressive Prompt Decision Transformer. - Zhiyuan Wang; Xiaoyang Qu; Jing Xiao 006; Bokui Chen; Jianzong Wang (ICASSP, 2024)

Enhancing Anomalous Sound Detection with Multi-Level Memory Bank. - Baoping Deng; Jinggang Chen; Zhenhou Hong; Xiaoyang Qu; Guokuan Li; Jiguang Wan 001; Changsheng Xie; Jianzong Wang (IJCNN, 2024)

PRENet: A Plane-Fit Redundancy Encoding Point Cloud Sequence Network for Real-Time 3D Action Recognition. - Shenglin He; Xiaoyang Qu; Jiguang Wan 001; Guokuan Li; Changsheng Xie; Jianzong Wang (IJCNN, 2024)

Task-agnostic Decision Transformer for Multi-type Agent Control with Federated Split Training. - Zhiyuan Wang; Bokui Chen; Xiaoyang Qu; Zhenhou Hong; Jing Xiao 006; Jianzong Wang (IJCNN, 2024)

Gecko: Resource-Efficient and Accurate Queries in Real-Time Video Streams at the Edge. - Liang Wang 057; Xiaoyang Qu; Jianzong Wang; Guokuan Li; Jiguang Wan 001; Nan Zhang; Song Guo; Jing Xiao 006 (INFOCOM, 2024)

Retrieval-Augmented Audio Deepfake Detection. - Zuheng Kang; Yayun He; Botao Zhao 001; Xiaoyang Qu; Junqing Peng; Jing Xiao 006; Jianzong Wang (ICMR, 2024)

FormerReckoning: Physics Inspired Transformer for Accurate Inertial Navigation. - Jiaqi Li; Chenyu Zhao; Yuzhu Mao; Xinlei Chen; Wenbo Ding 001; Xiaoyang Qu; Jianzong Wang (MobiCom, 2024)

Incremental Label Distribution Learning with Scalable Graph Convolutional Networks. - Ziqi Jia; Xiaoyang Qu; Chenghao Liu; Jianzong Wang (CoRR, 2024)

Enhancing Generalizability in Protein-Ligand Binding Affinity Prediction with Multimodal Contrastive Learning. - Ding Luo; Dandan Liu; Xiaoyang Qu; Lina Dong; Binju Wang (J. Chem. Inf. Model., 2024)

Water Network-Augmented Two-State Model for Protein-Ligand Binding Affinity Prediction. - Xiaoyang Qu; Lina Dong; Ding Luo; Yubing Si; Binju Wang (J. Chem. Inf. Model., 2024)

Rule-Guided Counterfactual Explainable Recommendation. - Yinwei Wei; Xiaoyang Qu; Xiang Wang 010; Yunshan Ma; Liqiang Nie; Tat-Seng Chua (IEEE Trans. Knowl. Data Eng., 2024)

ACCon: Angle-Compensated Contrastive Regularizer for Deep Regression. - Botao Zhao 001; Xiaoyang Qu; Zuheng Kang; Junqing Peng; Jing Xiao 006; Jianzong Wang (AAAI, 2025)

RUNA: Object-Level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations. - Bin Zhang; Jinggang Chen; Xiaoyang Qu; Guokuan Li; Kai Lu 002; Jiguang Wan 001; Jing Xiao 006; Jianzong Wang (AAAI, 2025)

Hierarchical-Task-Aware Multi-modal Mixture of Incremental LoRA Experts for Embodied Continual Learning. - Ziqi Jia; Anmin Wang; Xiaoyang Qu; Xiaowen Yang; Jianzong Wang (ACL (1), 2025)

RATE-Nav: Region-Aware Termination Enhancement for Zero-shot Object Navigation with Vision-Language Models. - Junjie Li; Nan Zhang; Xiaoyang Qu; Kai Lu 002; Guokuan Li; Jiguang Wan 001; Jianzong Wang (ACL (Findings), 2025)

MoQAE: Mixed-Precision Quantization for Long-Context LLM Inference via Mixture of Quantization-Aware Experts. - Wei Tao; Haocheng Lu; Xiaoyang Qu; Bin Zhang; Kai Lu 002; Jiguang Wan 001; Jianzong Wang (ACL (1), 2025)

Cocktail: Chunk-Adaptive Mixed-Precision Quantization for Long-Context LLM Inference. - Wei Tao; Bin Zhang; Xiaoyang Qu; Jiguang Wan 001; Jianzong Wang (DATE, 2025)

Graph Contrastive Learning with Decoupled Augmentation. - Shihao Gao; Caoshuo Li; Cunli Mao; Xulong Zhang 001; Xiaoyang Qu; Taisong Jin; Jianzong Wang (ICASSP, 2025)

CycleFlow: Leveraging Cycle Consistency in Flow Matching for Speaker Style Adaptation. - Ziqi Liang; Xulong Zhang 001; Chang Liu; Xiaoyang Qu; Weifeng Zhao; Jianzong Wang (ICASSP, 2025)

PointActionCLIP: Preventing Transfer Degradation in Point Cloud Action Recognition with a Triple-Path CLIP. - Wei Tao; Shenglin He; Xiaoyang Qu; Jiguang Wan 001; Jianzong Wang (ICASSP, 2025)

VisTa: Visual-contextual and Text-augmented Zero-shot Object-level OOD Detection. - Bin Zhang; Xiaoyang Qu; Guokuan Li; Jiguang Wan 001; Jianzong Wang (ICASSP, 2025)

Enhancing Multi-Agent Systems via Reinforcement Learning with LLM-based Planner and Graph-based Policy. - Ziqi Jia; Junjie Li; Xiaoyang Qu; Jianzong Wang (CoRR, 2025)

MADLLM: Multivariate Anomaly Detection via Pre-trained LLMs. - Wei Tao; Xiaoyang Qu; Kai Lu 002; Jiguang Wan 001; Guokuan Li; Jianzong Wang (CoRR, 2025)

Generalized Audio Deepfake Detection Using Frame-level Latent Information Entropy. - Botao Zhao 001; Zuheng Kang; Yayun He; Xiaoyang Qu; Junqing Peng; Jing Xiao 006; Jianzong Wang (CoRR, 2025)

BAGNet: A Boundary-Aware Graph Attention Network for 3D Point Cloud Semantic Segmentation. - Wei Tao; Xiaoyang Qu; Kai Lu 002; Jiguang Wan 001; Shenglin He; Jianzong Wang (CoRR, 2025)