Yong Xu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
214
Venues
66
Active years
2001–2026
Best venue rank
A*
Where they publish
- MulticonferenceICASSP25 papers
- AInterspeech23 papers
- A*AAAI22 papers
- A*CVPR16 papers
- A*SIGIR8 papers
- A*ICML6 papers
- A*IJCAI6 papers
- A*ECCV6 papers
- A*ACL5 papers
- A*ICCV5 papers
- BIJCNN4 papers
- A*KDD4 papers
- CISNN4 papers
- CASRU3 papers
- AMICCAI3 papers
- AWSDM3 papers
- A*ICDE3 papers
- A*WWW3 papers
- ACIKM3 papers
- BICIP3 papers
- BICONIP3 papers
- BCOLING2 papers
- A*ICSE2 papers
- CAPSEC2 papers
- AECAI2 papers
- A*ICDM2 papers
- AUSENIX2 papers
- NationalHCI2 papers
- BWISE2 papers
- NationalICNC2 papers
- BICPR2 papers
- BCEC2 papers
- A*EMNLP1 paper
- A*ICLR1 paper
- CCSCWD1 paper
- BSMC1 paper
- AISSTA1 paper
- AEuroSys1 paper
- BIWCMC1 paper
- CICANN1 paper
- A*SIGMOD1 paper
- CVCIP1 paper
- BCHASE1 paper
- CIGARSS1 paper
- CMMSP1 paper
- BDAS1 paper
- BLREC1 paper
- ANAACL1 paper
- CADMA1 paper
- BSmartComp1 paper
- BMASCOTS1 paper
- CFIE1 paper
- CCAIP1 paper
- CINDIN1 paper
- AWACV1 paper
- BSSPR1 paper
- CPRDC1 paper
- CAPSCC1 paper
- CICCE1 paper
- CICINCO1 paper
- CCIS1 paper
- BICCCN1 paper
- Journal PublishedISWC1 paper
- BKES1 paper
- BWCNC1 paper
- CIDEAL1 paper
Papers
214 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Frequency-Aligned Cross-Modal Learning with Top-K Wavelet Fusion and Dynamic Expert Routing for Enhanced Retinal Disease Diagnosis. | Yuxin Lin, Haoran Li, Haoyu Cao, Yongting Hu, Qihao Xu, Chengliang Liu, Xiaoling Luo, Zhihao Wu, Yong Xu, Wei Wang |
| 2026 | AAAI | PA-FAS: Towards Interpretable and Generalizable Multimodal Face Anti-Spoofing via Path-Augmented Reinforcement Learning. | Yingjie Ma, Xun Lin, Yong Xu, Weicheng Xie, Zitong Yu |
| 2026 | AAAI | Towards Zero-Shot Diabetic Retinopathy Grading: Learning Generalized Knowledge via Prompt-Driven Matching and Emulating. | Huan Wang, Haoran Li, Yuxin Lin, Huaming Chen, Jun Yan, Lijuan Wang, Jiahua Shi, Qihao Xu, Yongting Hu, Yong Xu, Jun Shen |
| 2026 | AAAI | Vision-Language Models Guided Graph Concept Reasoning for Interpretable Diabetic Retinopathy Diagnosis. | Qihao Xu, Xiaoling Luo, Yuxin Lin, Chengliang Liu, Yongting Hu, Jinkai Li, Xinheng Lyu, Yong Xu |
| 2026 | SIGIR | Inferring Targets from Calibrated Hesitations via Mutual Information Maximization in Multi-Behavior Recommendation. | Cheng Li, Yong Xu, Suhua Tang, Xin He, Jianfeng Sun, Jinde Cao |
| 2026 | SIGIR | DIGEST: Dynamic Graph Refinement with Dual Contrastive Semantic Transfer for Multimodal Recommendation. | Xiangyu Sai, Meysam Madadi, Sergio Escalera, Yong Xu |
| 2025 | AAAI | Zero-Shot Low-Light Image Enhancement via Latent Diffusion Models. | Yan Huang, Xiaoshan Liao, Jinxiu Liang, Yuhui Quan, Boxin Shi, Yong Xu |
| 2025 | AAAI | Deep Hierarchies and Invariant Disease-Indicative Feature Learning for Computer Aided Diagnosis of Multiple Fundus Diseases. | Yuxin Lin, Wei Wang, Xiaoling Luo, Zhihao Wu, Chengliang Liu, Jie Wen, Yong Xu |
| 2025 | AAAI | Self-Correcting Robot Manipulation via Gaussian-Splatted Foresight. | Shaohui Pan, Yong Xu, Ruotao Xu, Zihan Zhou, Si Wu, Zhuliang Yu |
| 2025 | AAAI | Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt. | Benfeng Wang, Chao Huang, Jie Wen, Wei Wang, Yabo Liu, Yong Xu |
| 2025 | AAAI | OV-DQUO: Open-Vocabulary DETR with Denoising Text Query Training and Open-World Unknown Objects Supervision. | Junjie Wang, Bin Chen, Bin Kang, Yulin Li, Weizhi Xian, Yichi Chen, Yong Xu |
| 2025 | AAAI | RetouchGPT: LLM-based Interactive High-Fidelity Face Retouching via Imperfection Prompting. | Wen Xue, Chun Ding, Ruotao Xu, Si Wu, Yong Xu, Hau-San Wong |
| 2025 | ACL | EducationQ: Evaluating LLMs' Teaching Capabilities Through Multi-Agent Dialogue Framework. | Yao Shi, Rongkeng Liang, Yong Xu |
| 2025 | ASRU | MMW: Side Talk Rejection Multi-Microphone Whisper On Smart Glasses. | Yang Liu, Li Wan, Yiteng Huang, Yong Xu, Yangyang Shi, Saurabh Adya, Ming Sun, Florian Metze |
| 2025 | COLING | LogiGraph: Logical Reasoning with Contrastive Learning and Lightweight Graph Networks. | Xiang Li, Chen Shi, Yong Xu, Jun Huang |
| 2025 | EMNLP | Generator-Assistant Stepwise Rollback Framework for Large Language Model Agent. | Xingzuo Li, Kehai Chen, Yunfei Long, Xuefeng Bai, Yong Xu, Min Zhang |
| 2025 | ICASSP | Component-wise Self-Correction Network for Human Motion Prediction. | Jinkai Li, Jinghua Wang, Xin Wang, Liang Yan, Yong Xu |
| 2025 | ICASSP | Multi-Head Auto-Correlation Attention Networks for Session-based Social Recommendation. | Mengying Lu, Xingyu Lu, Hai-Tao Zheng, Zhao Wei, Yong Xu, Bingxu An |
| 2025 | ICASSP | HDMoLE: Mixture of LoRA Experts with Hierarchical Routing and Dynamic Thresholds for Fine-Tuning LLM-based ASR Models. | Bingshen Mu, Kun Wei, Qijie Shao, Yong Xu, Lei Xie |
| 2025 | ICLR | Spectral Compressive Imaging via Unmixing-driven Subspace Diffusion Refinement. | Haijin Zeng, Benteng Sun, Yongyong Chen, Jingyong Su, Yong Xu |
| 2025 | ICML | Ex-VAD: Explainable Fine-grained Video Anomaly Detection Based on Visual-Language Models. | Chao Huang, Yushu Shi, Jie Wen, Wei Wang, Yong Xu, Xiaochun Cao |
| 2025 | ICML | Mutual Learning for SAM Adaptation: A Dual Collaborative Network Framework for Source-Free Domain Transfer. | Yabo Liu, Waikeung Wong, Chengliang Liu, Xiaoling Luo, Yong Xu, Jinghua Wang |
| 2025 | IJCAI | Base-Detail Feature Learning Framework for Visible-Infrared Person Re-Identification. | Zhihao Gong, Lian Wu, Yong Xu |
| 2025 | IJCNN | SmellDetector: Multi-Label Code Smell Detection and Refactoring with Large Language Models. | Wenjie Liang, Jiale Wang, Hai-Tao Zheng, Yinghui Li, Haiye Lin, Hong-Gee Kim, Bingxu An, Zhao Wei, Yong Xu |
| 2025 | IJCNN | Repository-Level Code Smell Detection Based on Multi-Scale Code Information and LLM Assistance. | Wenjie Liang, Yongqin Zeng, Hai-Tao Zheng, Jiale Wang, Haiye Lin, Hong-Gee Kim, Bingxu An, Zhao Wei, Yong Xu |
| 2025 | IJCNN | ELFSurf: Explicit Latent Fusion for Implicit Surface Reconstruction. | Jijun Zhou, Zhuhua Yang, Lingyu Liang, Chi Zhang, Yutian Yang, Yong Xu |
| 2025 | Interspeech | EzAudio: Enhancing Text-to-Audio Generation with Efficient Diffusion Transformer. | Jiarui Hai, Yong Xu, Hao Zhang, Chenxing Li, Helin Wang, Mounya Elhilali, Dong Yu |
| 2025 | Interspeech | VietASR: Achieving Industry-level Vietnamese ASR with 50-hour labeled data and Large-Scale Speech Pretraining. | Jianheng Zhuo, Yifan Yang, Yiwen Shao, Yong Xu, Dong Yu, Kai Yu, Xie Chen |
| 2025 | MICCAI | Hard Sample Mining-Based Tongue Diagnosis for Fatty Liver Disease Severity Classification. | Tao Chen, Jie Gao, Yong Xu, Weihong Qiu, Yijie Wu, Weimin Ye, Kunhong Liu |
| 2025 | SIGIR | Collaborative Diffusion Models for Recommendation. | Mengru Chen, Lianghao Xia, Yong Xu, Ronghua Luo |
| 2025 | WSDM | MixRec: Heterogeneous Graph Collaborative Filtering. | Lianghao Xia, Meiyan Xie, Yong Xu, Chao Huang |
| 2024 | AAAI | Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification. | Chengliang Liu, Jinlong Jia, Jie Wen, Yabo Liu, Xiaoling Luo, Chao Huang, Yong Xu |
| 2024 | AAAI | HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation. | Qihao Xu, Xiaoling Luo, Chao Huang, Chengliang Liu, Jie Wen, Jialei Wang, Yong Xu |
| 2024 | ACL | Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments. | Sitao Cheng, Ziyuan Zhuang, Yong Xu, Fangkai Yang, Chaoyun Zhang, Xiaoting Qin, Xiang Huang, Ling Chen, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang |
| 2024 | ACL | Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation. | Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang |
| 2024 | ACL | Unsupervised Sign Language Translation and Generation. | Zhengsheng Guo, Zhiwei He, Wenxiang Jiao, Xing Wang, Rui Wang, Kehai Chen, Zhaopeng Tu, Yong Xu, Min Zhang |
| 2024 | ACL | QueryAgent: A Reliable and Efficient Reasoning Framework with Environmental Feedback based Self-Correction. | Xiang Huang, Sitao Cheng, Shanshan Huang, Jiayu Shen, Yong Xu, Chaoyun Zhang, Yuzhong Qu |
| 2024 | COLING | AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework. | Xiang Li, Zhenyu Li, Chen Shi, Yong Xu, Qing Du, Mingkui Tan, Jun Huang |
| 2024 | CSCWD | Multi-behavior Enhanced Self-supervised Graph Learning for Social Recommendation. | Shiwei Liu, Yong Xu |
| 2024 | CVPR | VRetouchEr: Learning Cross-Frame Feature Interdependence with Imperfection Flow for Face Retouching in Videos. | Wen Xue, Le Jiang, Lianxin Xie, Si Wu, Yong Xu, Hau-San Wong |
| 2024 | CVPR | Text-Conditional Attribute Alignment Across Latent Spaces for 3D Controllable Face Image Synthesis. | Feifan Xu, Rui Li, Si Wu, Yong Xu, Hau-San Wong |
| 2024 | ECCV | The Second Visual Object Tracking Segmentation VOTS2024 Challenge Results. | Matej Kristan, Jir Matas, Pavel Tokmakov, Michael Felsberg, Luka Cehovin Zajc, Alan Lukezic, Khanh-Tung Tran, Xuan-Son Vu, Johanna Bjrklund, Hyung Jin Chang, Gustavo Fernndez, Minasadat Attari, Antoni B. Chan, Liang Chen, Xin Chen, Jaired Collins, Yutao Cui, Ganesh Sai Manas Devarapu, Yinglong Du, Heng Fan, Wan-Cyuan Fan, Zhenhua Feng, Mingqi Gao, Rama Krishna Sai S. Gorthi, Raghav Goyal, Jungong Han, Bijaya Kumar Hatuwal, Zhenyu He, Xiantao Hu, Xingsen Huang, Yuqing Huang, Dongmei Jiang, Ben Kang, Kannappan Palaniappan, Josef Kittler, Simiao Lai, Ning Li, Xiaohai Li, Xin Li, Cheng Liang, Liting Lin, Haibin Ling, Ting Liu, Ziquan Liu, Huchuan Lu, Yifei Luo, Deshui Miao, Juan David Mogollon, Ziqi Pang, Jaswanth Reddy Pochimireddy, Viktor Prutyanov, Gani Rahmon, Aleksandr Romanov, Liangtao Shi, Mennatullah Siam, Leonid Sigal, Arun Kumar Sivapuram, Roman A. Solovyev, Elham Soltani Kazemi, Imad Eddine Toubal, Jia Wan, Limin Wang, Xinying Wang, Yaowei Wang, Yu-Xiong Wang, Zhiquan Wang, Gangshan Wu, Qiangqiang Wu, Xiaojun Wu, Zihao Xia, Jinxia Xie, Chenlong Xu, Tianyang Xu, Yong Xu, Chaocan Xue, Chao Yang, Jinyu Yang, Ming-Hsuan Yang, Chenyang Yu, Ke Yu, Chunhui Zhang, Jiaming Zhang, Zhipeng Zhang, Feng Zheng, Yaozong Zheng, Bineng Zhong, Jinglin Zhou, Junbao Zhou, Yong Zhou, Zikun Zhou, Guibo Zhu, Jiawen Zhu, Xuefeng Zhu, Vladimir V. Zunin |
| 2024 | ECCV | Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance. | Liting Lin, Heng Fan, Zhipeng Zhang, Yaowei Wang, Yong Xu, Haibin Ling |
| 2024 | ICASSP | Hypergraph-Enhanced Self-Supervised Robust Graph Learning for Social Recommendation. | Shiwei Liu, Yong Xu, Siliang Ma |
| 2024 | ICASSP | SPATIALCODEC: Neural Spatial Speech Coding. | Zhongweiyang Xu, Yong Xu, Vinay Kothapally, Heming Wang, Muqiao Yang, Dong Yu |
| 2024 | ICASSP | uSee: Unified Speech Enhancement And Editing with Conditional Diffusion Models. | Muqiao Yang, Chunlei Zhang, Yong Xu, Zhongweiyang Xu, Heming Wang, Bhiksha Raj, Dong Yu |
| 2024 | ICML | Diffusion-based Missing-view Generation With the Application on Incomplete Multi-view Clustering. | Jie Wen, Shijie Deng, Waikeung Wong, Guoqing Chao, Chao Huang, Lunke Fei, Yong Xu |
| 2024 | ICML | Partial Multi-View Multi-Label Classification via Semantic Invariance Learning and Prototype Modeling. | Chengliang Liu, Gehui Xu, Jie Wen, Yabo Liu, Chao Huang, Yong Xu |
| 2024 | ICML | Language-Driven Cross-Modal Classifier for Zero-Shot Multi-Label Image Recognition. | Yicheng Liu, Jie Wen, Chengliang Liu, Xiaozhao Fang, Zuoyong Li, Yong Xu, Zheng Zhang |
| 2024 | ICML | FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction. | Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang |
| 2024 | Interspeech | LibriheavyMix: A 20, 000-Hour Dataset for Single-Channel Reverberant Multi-Talker Speech Separation, ASR and Speaker Diarization. | Zengrui Jin, Yifan Yang, Mohan Shi, Wei Kang, Xiaoyu Yang, Zengwei Yao, Fangjun Kuang, Liyong Guo, Lingwei Meng, Long Lin, Yong Xu, Shi-Xiong Zhang, Daniel Povey |
| 2024 | Interspeech | Multi-Channel Multi-Speaker ASR Using Target Speaker's Solo Segment. | Yiwen Shao, Shi-Xiong Zhang, Yong Xu, Meng Yu, Dong Yu, Daniel Povey, Sanjeev Khudanpur |
| 2024 | KDD | UrbanGPT: Spatio-Temporal Large Language Models. | Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, Chao Huang |
| 2024 | SMC | A Multi-Stream Structure-Enhanced Network for Mesh Denoising. | Yutian Yang, Lingyu Liang, Jie Yan, Yong Xu |
| 2023 | AAAI | DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification. | Chengliang Liu, Jie Wen, Xiaoling Luo, Chao Huang, Zhihao Wu, Yong Xu |
| 2023 | AAAI | Incomplete Multi-View Multi-Label Learning via Label-Guided Masked View- and Category-Aware Transformers. | Chengliang Liu, Jie Wen, Xiaoling Luo, Yong Xu |
| 2023 | AAAI | MVCINN: Multi-View Diabetic Retinopathy Detection Using a Deep Cross-Interaction Neural Network. | Xiaoling Luo, Chengliang Liu, Waikeung Wong, Jie Wen, Xiaopeng Jin, Yong Xu |
| 2023 | ASRU | Neuralecho: Hybrid of Full-Band and Sub-Band Recurrent Neural Network For Acoustic Echo Cancellation and Speech Enhancement. | Meng Yu, Yong Xu, Chunlei Zhang, Shi-Xiong Zhang, Dong Yu |
| 2023 | CVPR | CIGAR: Cross-Modality Graph Reasoning for Domain Adaptive Object Detection. | Yabo Liu, Jinghua Wang, Chao Huang, Yaowei Wang, Yong Xu |
| 2023 | CVPR | Highly Confident Local Structure Based Consensus Graph Learning for Incomplete Multi-view Clustering. | Jie Wen, Chengliang Liu, Gehui Xu, Zhihao Wu, Chao Huang, Lunke Fei, Yong Xu |
| 2023 | ICASSP | Deep Neural Mel-Subband Beamformer for in-Car Speech Separation. | Vinay Kothapally, Yong Xu, Meng Yu, Shi-Xiong Zhang, Dong Yu |
| 2023 | ICASSP | Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition. | Jiaxin Ye, Xin-Cheng Wen, Yujie Wei, Yong Xu, Kunhong Liu, Hongming Shan |
| 2023 | ICCV | Coherent Event Guided Low-Light Video Enhancement. | Jinxiu Liang, Yixin Yang, Boyu Li, Peiqi Duan, Yong Xu, Boxin Shi |
| 2023 | ICDE | Disentangled Graph Social Recommendation. | Lianghao Xia, Yizhen Shao, Chao Huang, Yong Xu, Huance Xu, Jian Pei |
| 2023 | Interspeech | Zoneformer: On-device Neural Beamformer For In-car Multi-zone Speech Separation, Enhancement and Echo Cancellation. | Yong Xu, Vinay Kothapally, Meng Yu, Shixiong Zhang, Dong Yu |
| 2023 | ICSE | TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems. | Zhengran Zeng, Yuqun Zhang, Yong Xu, Minghua Ma, Bo Qiao, Wentao Zou, Qingjun Chen, Meng Zhang, Xu Zhang, Hongyu Zhang, Xuedong Gao, Hao Fan, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang |
| 2023 | ISSTA | RefBERT: A Two-Stage Pre-trained Framework for Automatic Rename Refactoring. | Hao Liu, Yanlin Wang, Zhao Wei, Yong Xu, Juhong Wang, Hui Li, Rongrong Ji |
| 2023 | KDD | Root Cause Analysis for Microservice Systems via Hierarchical Reinforcement Learning from Human Feedback. | Lu Wang, Chaoyun Zhang, Ruomeng Ding, Yong Xu, Qihang Chen, Wentao Zou, Qingjun Chen, Meng Zhang, Xuedong Gao, Hao Fan, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang |
| 2023 | WWW | Graph-less Collaborative Filtering. | Lianghao Xia, Chao Huang, Jiao Shi, Yong Xu |
| 2023 | SIGIR | Graph Transformer for Recommendation. | Chaoliu Li, Lianghao Xia, Xubin Ren, Yaowen Ye, Yong Xu, Chao Huang |
| 2023 | WSDM | Heterogeneous Graph Contrastive Learning for Recommendation. | Mengru Chen, Chao Huang, Lianghao Xia, Wei Wei, Yong Xu, Ronghua Luo |
| 2022 | CVPR | SphericGAN: Semi-supervised Hyper-spherical Generative Adversarial Networks for Fine-grained Image Synthesis. | Tianyi Chen, Yunfei Zhang, Xiaoyang Huo, Si Wu, Yong Xu, Hau-San Wong |
| 2022 | CVPR | Fine-Grained Object Classification via Self-Supervised Pose Alignment. | Xuhui Yang, Yaowei Wang, Ke Chen, Yong Xu, Yonghong Tian |
| 2022 | ECCV | The Tenth Visual Object Tracking VOT2022 Challenge Results. | Matej Kristan, Ales Leonardis, Jir Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kmrinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Johanna Bjrklund, Yushan Zhang, Zhongqun Zhang, Song Yan, Wenyan Yang, Dingding Cai, Christoph Mayer, Gustavo Fernndez, Kang Ben, Goutam Bhat, Hong Chang, Guangqi Chen, Jiaye Chen, Shengyong Chen, Xilin Chen, Xin Chen, Xiuyi Chen, Yiwei Chen, Yu-Hsi Chen, Zhixing Chen, Yangming Cheng, Angelo Ciaramella, Yutao Cui, Benjamin Dzubur, Mohana Murali Dasari, Qili Deng, Debajyoti Dhar, Shangzhe Di, Emanuel Di Nardo, Daniel K. Du, Matteo Dunnhofer, Heng Fan, Zhenhua Feng, Zhihong Fu, Shang Gao, Rama Krishna Sai S. Gorthi, Eric Granger, Q. H. Gu, Himanshu Gupta, Jianfeng He, Keji He, Yan Huang, Deepak Jangid, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Jremo Lawin, Ze Kang, Madhu Kiran, Josef Kittler, Simiao Lai, Xiangyuan Lan, Dongwook Lee, Hyunjeong Lee, Seohyung Lee, Hui Li, Ming Li, Wangkai Li, Xi Li, Xianxian Li, Xiao Li, Zhe Li, Liting Lin, Haibin Ling, Bo Liu, Chang Liu, Si Liu, Huchuan Lu, Rafael M. O. Cruz, Bingpeng Ma, Chao Ma, Jie Ma, Yinchao Ma, Niki Martinel, Alireza Memarmoghadam, Christian Micheloni, Payman Moallem, Le Thanh Nguyen-Meidine, Siyang Pan, ChangBeom Park, Danda Pani Paudel, Matthieu Paul, Houwen Peng, Andreas Robinson, Litu Rout, Shiguang Shan, Kristian Simonato, Tianhui Song, Xiaoning Song, Chao Sun, Jingna Sun, Zhangyong Tang, Radu Timofte, Chi-Yi Tsai, Luc Van Gool, Om Prakash Verma, Dong Wang, Fei Wang, Liang Wang, Liangliang Wang, Lijun Wang, Limin Wang, Qiang Wang, Gangshan Wu, Jinlin Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Wei Xu, Yong Xu, Yuanyou Xu, Wanli Xue, Zizheng Xun, Bin Yan, Dawei Yang, Jinyu Yang, Wankou Yang, Xiaoyun Yang, Yi Yang, Yichun Yang, Zongxin Yang, Botao Ye, Fisher Yu, Hongyuan Yu, Jiaqian Yu, Qianjin Yu, Weichen Yu, Kang Ze, Jiang Zhai, Chengwei Zhang, Chunhu Zhang, Kaihua Zhang, Tianzhu Zhang, Wenkang Zhang, Zhibin Zhang, Zhipeng Zhang, Jie Zhao, Shao-Chuan Zhao, Feng Zheng, Haixia Zheng, Min Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang |
| 2022 | ICASSP | Deep Object Detection with Example Attribute Based Prediction Modulation. | Zhihao Wu, Chengliang Liu, Chao Huang, Jie Wen, Yong Xu |
| 2022 | ICASSP | Audio-Visual Tracking of Multiple Speakers Via a PMBM Filter. | Jinzheng Zhao, Peipei Wu, Xubo Liu, Yong Xu, Lyudmila Mihaylova, Simon J. Godsill, Wenwu Wang |
| 2022 | ICDE | Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction. | Zhonghang Li, Chao Huang, Lianghao Xia, Yong Xu, Jian Pei |
| 2022 | IJCAI | CTL-MTNet: A Novel CapsNet and Transfer Learning-Based Mixed Task Net for Single-Corpus and Cross-Corpus Speech Emotion Recognition. | Xin-Cheng Wen, Jiaxin Ye, Yan Luo, Yong Xu, Xuan-Ze Wang, Chang-Li Wu, Kun-Hong Liu |
| 2022 | Interspeech | Joint Neural AEC and Beamforming with Double-Talk Detection. | Vinay Kothapally, Yong Xu, Meng Yu, Shi-Xiong Zhang, Dong Yu |
| 2022 | Interspeech | Streamable Speech Representation Disentanglement and Multi-Level Prosody Modeling for Live One-Shot Voice Conversion. | Haoquan Yang, Liqun Deng, Yu Ting Yeung, Nianzu Zheng, Yong Xu |
| 2022 | Interspeech | Audio Visual Multi-Speaker Tracking with Improved GCF and PMBM Filter. | Jinzheng Zhao, Peipei Wu, Xubo Liu, Shidrokh Goudarzi, Haohe Liu, Yong Xu, Wenwu Wang |
| 2022 | WWW | UniParser: A Unified Log Parser for Heterogeneous Log Data. | Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang |
| 2022 | SIGIR | Hypergraph Contrastive Collaborative Filtering. | Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin, Jimmy X. Huang |
| 2022 | WSDM | Contrastive Meta Learning with Behavior Multiplicity for Recommendation. | Wei Wei, Chao Huang, Lianghao Xia, Yong Xu, Jiashu Zhao, Dawei Yin |
| 2021 | AAAI | Unified Tensor Framework for Incomplete Multi-view Clustering and Missing-view Inferring. | Jie Wen, Zheng Zhang, Zhao Zhang, Lei Zhu, Lunke Fei, Bob Zhang, Yong Xu |
| 2021 | AAAI | Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction. | Chun-Mei Feng, Zhanyuan Yang, Geng Chen, Yong Xu, Ling Shao |
| 2021 | AAAI | Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation. | Chao Huang, Jiahui Chen, Lianghao Xia, Yong Xu, Peng Dai, Yanqing Chen, Liefeng Bo, Jiashu Zhao, Jimmy Xiangji Huang |
| 2021 | AAAI | Knowledge-aware Coupled Graph Neural Network for Social Recommendation. | Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, Yanfang Ye |
| 2021 | AAAI | Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation. | Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo |
| 2021 | AAAI | Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network. | Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng |
| 2021 | APSEC | CHIS: A Novel Hybrid Granularity Identifier Splitting Approach. | Siyuan Liu, Jingxuan Zhang, Jiahui Liang, Junpeng Luo, Yong Xu, Chenxing Sun |
| 2021 | CIKM | Structural Deep Incomplete Multi-view Clustering Network. | Jie Wen, Zhihao Wu, Zheng Zhang, Lunke Fei, Bob Zhang, Yong Xu |
| 2021 | CIKM | Social Recommendation with Self-Supervised Metagraph Informax Network. | Xiaoling Long, Chao Huang, Yong Xu, Huance Xu, Peng Dai, Lianghao Xia, Liefeng Bo |
| 2021 | CVPR | Deep Texture Recognition via Exploiting Cross-Layer Statistical Self-Similarity. | Zhile Chen, Feng Li, Yuhui Quan, Yong Xu, Hui Ji |
| 2021 | EuroSys | CARE: Infusing Causal Aware Thinking to Root Cause Analysis in Cloud System. | Yong Xu, Xu Zhang, Chuan Luo, Si Qin, Rohit Pandey, Chao Du, Qingwei Lin, Yingnong Dang, Andrew Zhou |
| 2021 | ICASSP | Directional ASR: A New Paradigm for E2E Multi-Speaker Speech Recognition with Source Localization. | Aswin Shanmugam Subramanian, Chao Weng, Shinji Watanabe, Meng Yu, Yong Xu, Shi-Xiong Zhang, Dong Yu |
| 2021 | ICASSP | FWB-Net: Front White Balance Network for Color Shift Correction in Single Image Dehazing Via Atmospheric Light Estimation. | Cong Wang, Yan Huang, Yuexian Zou, Yong Xu |
| 2021 | ICASSP | ADL-MVDR: All Deep Learning MVDR Beamformer for Target Speech Separation. | Zhuohuang Zhang, Yong Xu, Meng Yu, Shi-Xiong Zhang, Lianwu Chen, Dong Yu |
| 2021 | ICCV | Semi-Supervised Single-Stage Controllable GANs for Conditional Fine-Grained Image Generation. | Tianyi Chen, Yi Liu, Yunfei Zhang, Si Wu, Yong Xu, Liangbing Feng, Hau-San Wong |
| 2021 | ICCV | Hypergraph Neural Networks for Hypergraph Matching. | Xiaowei Liao, Yong Xu, Haibin Ling |
| 2021 | ICDE | Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling. | Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Mengyin Lu, Liefeng Bo |
| 2021 | ICIP | KINET: A Non-Invasive Method For Predicting Ki67 Index Of Glioma. | Xuhui Li, Yong Xu, Feng Xiang, Qing Liu, Weihong Huang, Bin Xie |
| 2021 | IJCAI | Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning. | Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo, Xiyue Zhang, Tianyi Chen |
| 2021 | Interspeech | MIMO Self-Attentive RNN Beamformer for Multi-Speaker Speech Separation. | Xiyun Li, Yong Xu, Meng Yu, Shi-Xiong Zhang, Jiaming Xu, Bo Xu, Dong Yu |
| 2021 | Interspeech | TeCANet: Temporal-Contextual Attention Network for Environment-Aware Speech Dereverberation. | Helin Wang, Bo Wu, Lianwu Chen, Meng Yu, Jianwei Yu, Yong Xu, Shi-Xiong Zhang, Chao Weng, Dan Su, Dong Yu |
| 2021 | Interspeech | Generalized Spatio-Temporal RNN Beamformer for Target Speech Separation. | Yong Xu, Zhuohuang Zhang, Meng Yu, Shi-Xiong Zhang, Dong Yu |
| 2021 | Interspeech | MetricNet: Towards Improved Modeling For Non-Intrusive Speech Quality Assessment. | Meng Yu, Chunlei Zhang, Yong Xu, Shi-Xiong Zhang, Dong Yu |
| 2021 | IWCMC | Slice Network Framework and Use Cases Based on FlexE Technology for Power Services. | Zhengyang Ding, Wei Li, Yufan Cheng, Yong Xu, Yong Dai, Ying Wang, Peng Yu |
| 2021 | KDD | HALO: Hierarchy-aware Fault Localization for Cloud Systems. | Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang |
| 2021 | MICCAI | Multi-contrast MRI Super-Resolution via a Multi-stage Integration Network. | Chun-Mei Feng, Huazhu Fu, Shuhao Yuan, Yong Xu |
| 2021 | MICCAI | Task Transformer Network for Joint MRI Reconstruction and Super-Resolution. | Chun-Mei Feng, Yunlu Yan, Huazhu Fu, Li Chen, Yong Xu |
| 2021 | SIGIR | Targeted Attack and Defense for Deep Hashing. | Xunguang Wang, Zheng Zhang, Guangming Lu, Yong Xu |
| 2021 | SIGIR | Graph Meta Network for Multi-Behavior Recommendation. | Lianghao Xia, Yong Xu, Chao Huang, Peng Dai, Liefeng Bo |
| 2020 | CIKM | Spatial-Temporal Convolutional Graph Attention Networks for Citywide Traffic Flow Forecasting. | Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia |
| 2020 | ECAI | Joint Modeling of Local and Global Behavior Dynamics for Session-Based Recommendation. | Yong Xu, Jiahui Chen, Chao Huang, Bo Zhang, Hao Xing, Peng Dai, Liefeng Bo |
| 2020 | ECAI | Dedge-AGMNet: An Effective Stereo Matching Network Optimized by Depth Edge Auxiliary Task. | Weida Yang, Xindong Ai, Zuliu Yang, Yong Xu, Yong Zhao |
| 2020 | ECCV | VisDrone-SOT2020: The Vision Meets Drone Single Object Tracking Challenge Results. | Heng Fan, Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Haibin Ling, Mubarak Shah, Biao Wang, Bin Dong, Di Yuan, Dong Wang, Dongjie Zhou, Haoyang Sun, Hossein Ghanei-Yakhdan, Huchuan Lu, Javad Khaghani, Jinghao Zhou, Keyang Wang, Lei Pang, Lei Zhang, Li Cheng, Liting Lin, Lu Ding, Nana Fan, Peng Wang, Penghao Zhang, Ruiyan Ma, Seyed Mojtaba Marvasti-Zadeh, Shohreh Kasaei, Shuhao Chen, Simiao Lai, Tianyang Xu, Wentao He, Xiaojun Wu, Xin Hou, Xuefeng Zhu, Yanjie Gao, Yanyun Zhao, Yong Wang, Yong Xu, Yubo Sun, Yuting Yang, Yuxuan Li, Zezhou Wang, Zhenwei He, Zhenyu He, Zhipeng Luo, Zhongjian Huang, Zhongzhou Zhang, Zikai Zhang, Zitong Yi |
| 2020 | ICASSP | Self-Supervised Learning for Audio-Visual Speaker Diarization. | Yifan Ding, Yong Xu, Shi-Xiong Zhang, Yahuan Cong, Liqiang Wang |
| 2020 | ICASSP | Enhancing End-to-End Multi-Channel Speech Separation Via Spatial Feature Learning. | Rongzhi Gu, Shi-Xiong Zhang, Lianwu Chen, Yong Xu, Meng Yu, Dan Su, Yuexian Zou, Dong Yu |
| 2020 | ICASSP | Far-Field Location Guided Target Speech Extraction Using End-to-End Speech Recognition Objectives. | Aswin Shanmugam Subramanian, Chao Weng, Meng Yu, Shi-Xiong Zhang, Yong Xu, Shinji Watanabe, Dong Yu |
| 2020 | ICDM | Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks. | Huance Xu, Chao Huang, Yong Xu, Lianghao Xia, Hao Xing, Dawei Yin |
| 2020 | IJCAI | CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering Network. | Jie Wen, Zheng Zhang, Yong Xu, Bob Zhang, Lunke Fei, Guo-Sen Xie |
| 2020 | Interspeech | Neural Spatio-Temporal Beamformer for Target Speech Separation. | Yong Xu, Meng Yu, Shi-Xiong Zhang, Lianwu Chen, Chao Weng, Jianming Liu, Dong Yu |
| 2020 | Interspeech | Audio-Visual Multi-Channel Recognition of Overlapped Speech. | Jianwei Yu, Bo Wu, Rongzhi Gu, Shi-Xiong Zhang, Lianwu Chen, Yong Xu, Meng Yu, Dan Su, Dong Yu, Xunying Liu, Helen Meng |
| 2020 | SIGIR | Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network. | Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Bo Zhang, Liefeng Bo |
| 2019 | AAAI | Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View Clustering. | Jie Wen, Zheng Zhang, Yong Xu, Bob Zhang, Lunke Fei, Hong Liu |
| 2019 | ASRU | Time Domain Audio Visual Speech Separation. | Jian Wu, Yong Xu, Shi-Xiong Zhang, Lianwu Chen, Meng Yu, Lei Xie, Dong Yu |
| 2019 | CVPR | LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking. | Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Hexin Bai, Yong Xu, Chunyuan Liao, Haibin Ling |
| 2019 | ICANN | Named Entity Recognition for Chinese Social Media with Domain Adversarial Training and Language Modeling. | Yong Xu, Qi Lu, Muhua Zhu |
| 2019 | ICASSP | An Attention-based Neural Network Approach for Single Channel Speech Enhancement. | Xiang Hao, Changhao Shan, Yong Xu, Sining Sun, Lei Xie |
| 2019 | ICASSP | Acoustic Scene Generation with Conditional Samplernn. | Qiuqiang Kong, Yong Xu, Turab Iqbal, Yin Cao, Wenwu Wang, Mark D. Plumbley |
| 2019 | ICASSP | Joint Training of Complex Ratio Mask Based Beamformer and Acoustic Model for Noise Robust Asr. | Yong Xu, Chao Weng, Like Hui, Jianming Liu, Meng Yu, Dan Su, Dong Yu |
| 2019 | ICDM | Neural Feature Search: A Neural Architecture for Automated Feature Engineering. | Xiangning Chen, Bo Qiao, Weiyi Zhang, Wei Wu, Murali Chintalapati, Dongmei Zhang, Qingwei Lin, Chuan Luo, Xudong Li, Hongyu Zhang, Yong Xu, Yingnong Dang, Kaixin Sui, Xu Zhang |
| 2019 | IJCAI | Single-Channel Signal Separation and Deconvolution with Generative Adversarial Networks. | Qiuqiang Kong, Yong Xu, Philip J. B. Jackson, Wenwu Wang, Mark D. Plumbley |
| 2019 | Interspeech | A Comprehensive Study of Speech Separation: Spectrogram vs Waveform Separation. | Fahimeh Bahmaninezhad, Jian Wu, Rongzhi Gu, Shi-Xiong Zhang, Yong Xu, Meng Yu, Dong Yu |
| 2019 | Interspeech | Neural Spatial Filter: Target Speaker Speech Separation Assisted with Directional Information. | Rongzhi Gu, Lianwu Chen, Shi-Xiong Zhang, Jimeng Zheng, Yong Xu, Meng Yu, Dan Su, Yuexian Zou, Dong Yu |
| 2019 | Interspeech | Improved Speaker-Dependent Separation for CHiME-5 Challenge. | Jian Wu, Yong Xu, Shi-Xiong Zhang, Lianwu Chen, Meng Yu, Lei Xie, Dong Yu |
| 2019 | ICSE | An empirical investigation of incident triage for online service systems. | Junjie Chen, Xiaoting He, Qingwei Lin, Yong Xu, Hongyu Zhang, Dan Hao, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang |
| 2019 | WWW | Outage Prediction and Diagnosis for Cloud Service Systems. | Yujun Chen, Xian Yang, Qingwei Lin, Hongyu Zhang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Hang Dong, Yong Xu, Hao Li, Yu Kang |
| 2019 | SIGMOD | QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data. | Rui Ding, Shi Han, Yong Xu, Haidong Zhang, Dongmei Zhang |
| 2019 | VCIP | Multi-view Rank Pooling for 3D Object Recognition*. | Chaoda Zheng, Yong Xu, Ruotao Xu, Hongyu Chi, Yuhui Quan |
| 2019 | USENIX | Cross-dataset Time Series Anomaly Detection for Cloud Systems. | Xu Zhang, Qingwei Lin, Yong Xu, Si Qin, Hongyu Zhang, Bo Qiao, Yingnong Dang, Xinsheng Yang, Qian Cheng, Murali Chintalapati, Youjiang Wu, Ken Hsieh, Kaixin Sui, Xin Meng, Yaohai Xu, Wenchi Zhang, Furao Shen, Dongmei Zhang |
| 2018 | CVPR | Bidirectional Attentive Fusion With Context Gating for Dense Video Captioning. | Jingwen Wang, Wenhao Jiang, Lin Ma, Wei Liu, Yong Xu |
| 2018 | ECCV | Incomplete Multi-view Clustering via Graph Regularized Matrix Factorization. | Jie Wen, Zheng Zhang, Yong Xu, Zuofeng Zhong |
| 2018 | ECCV | Highly-Economized Multi-view Binary Compression for Scalable Image Clustering. | Zheng Zhang, Li Liu, Jie Qin, Fan Zhu, Fumin Shen, Yong Xu, Ling Shao, Heng Tao Shen |
| 2018 | HCI | Supporting Audiography: Design of a System for Sentimental Sound Recording, Classification and Playback. | Tijs Duel, David M. Frohlich, Christian Kroos, Yong Xu, Philip J. B. Jackson, Mark D. Plumbley |
| 2018 | ICASSP | Large-Scale Weakly Supervised Audio Classification Using Gated Convolutional Neural Network. | Yong Xu, Qiuqiang Kong, Wenwu Wang, Mark D. Plumbley |
| 2018 | ICASSP | Audio Set Classification with Attention Model: A Probabilistic Perspective. | Qiuqiang Kong, Yong Xu, Wenwu Wang, Mark D. Plumbley |
| 2018 | ICASSP | A Joint Separation-Classification Model for Sound Event Detection of Weakly Labelled Data. | Qiuqiang Kong, Yong Xu, Wenwu Wang, Mark D. Plumbley |
| 2018 | ICASSP | Iterative Deep Neural Networks for Speaker-Independent Binaural Blind Speech Separation. | Qingju Liu, Yong Xu, Philip J. B. Jackson, Wenwu Wang, Philip Coleman |
| 2018 | ICONIP | A Data Augmentation Model Based on Variational Approach. | Lei Xia, Jiancheng Lv, Yong Xu |
| 2018 | ISNN | Method to Improve the Performance of Restricted Boltzmann Machines. | Jing Yin, Qingyu Mao, Dayiheng Liu, Yong Xu, Jiancheng Lv |
| 2018 | KDD | BigIN4: Instant, Interactive Insight Identification for Multi-Dimensional Big Data. | Qingwei Lin, Weichen Ke, Jian-Guang Lou, Hongyu Zhang, Kaixin Sui, Yong Xu, Ziyi Zhou, Bo Qiao, Dongmei Zhang |
| 2018 | USENIX | Improving Service Availability of Cloud Systems by Predicting Disk Error. | Yong Xu, Kaixin Sui, Randolph Yao, Hongyu Zhang, Qingwei Lin, Yingnong Dang, Peng Li, Keceng Jiang, Wenchi Zhang, Jian-Guang Lou, Murali Chintalapati, Dongmei Zhang |
| 2017 | CHASE | Non-contact Home Health Monitoring Based on Low-Cost High-Performance Accelerometers. | Xiaoce Feng, Ming Dong, Philip Levy, Yong Xu |
| 2017 | CVPR | Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation. | Hongliang Yan, Yukang Ding, Peihua Li, Qilong Wang, Yong Xu, Wangmeng Zuo |
| 2017 | ICASSP | Fast tagging of natural sounds using marginal co-regularization. | Qiang Huang, Yong Xu, Philip J. B. Jackson, Wenwu Wang, Mark D. Plumbley |
| 2017 | ICASSP | A joint detection-classification model for audio tagging of weakly labelled data. | Qiuqiang Kong, Yong Xu, Wenwu Wang, Mark D. Plumbley |
| 2017 | ICONIP | Learning Inverse Mapping by AutoEncoder Based Generative Adversarial Nets. | Junyu Luo, Yong Xu, Chenwei Tang, Jiancheng Lv |
| 2017 | IJCNN | Convolutional gated recurrent neural network incorporating spatial features for audio tagging. | Yong Xu, Qiuqiang Kong, Qiang Huang, Wenwu Wang, Mark D. Plumbley |
| 2017 | Interspeech | Intelligibilities of Mandarin Chinese Sentences with Spectral "Holes". | Yafan Chen, Yong Xu, Jun Yang |
| 2017 | Interspeech | Attention and Localization Based on a Deep Convolutional Recurrent Model for Weakly Supervised Audio Tagging. | Yong Xu, Qiuqiang Kong, Qiang Huang, Wenwu Wang, Mark D. Plumbley |
| 2017 | IGARSS | A co-training approach to the classification of local climate zones with multi-source data. | Yong Xu, Fan Ma, Deyu Meng, Chao Ren, Yee Leung |
| 2017 | MMSP | Binaural and log-power spectra features with deep neural networks for speech-noise separation. | Alfredo Zermini, Qingju Liu, Yong Xu, Mark D. Plumbley, Dave Betts, Wenwu Wang |
| 2017 | WISE | Reliable Retrieval of Top-k Tags. | Yong Xu, Reynold Cheng, Yudian Zheng |
| 2016 | CVPR | Sparse Coding for Classification via Discrimination Ensemble. | Yuhui Quan, Yong Xu, Yuping Sun, Yan Huang, Hui Ji |
| 2016 | DAS | Natural Scene Character Recognition Using Robust PCA and Sparse Representation. | Zheng Zhang, Yong Xu, Cheng-Lin Liu |
| 2016 | IJCAI | Beyond Object Recognition: Visual Sentiment Analysis with Deep Coupled Adjective and Noun Neural Networks. | Jingwen Wang, Jianlong Fu, Yong Xu, Tao Mei |
| 2016 | LREC | Novel elicitation and annotation schemes for sentential and sub-sentential alignments of bitexts. | Yong Xu, Franois Yvon |
| 2016 | NAACL | TransRead: Designing a Bilingual Reading Experience with Machine Translation Technologies. | Franois Yvon, Yong Xu, Marianna Apidianaki, Clment Pillias, Pierre Cubaud |
| 2015 | ICCV | Removing Rain from a Single Image via Discriminative Sparse Coding. | Yu Luo, Yong Xu, Hui Ji |
| 2015 | ICIP | Orthogonal self-guided similarity preserving projections. | Xiaozhao Fang, Yong Xu, Zheng Zhang, Zhihui Lai, Linlin Shen |
| 2015 | Interspeech | DNN-based speech bandwidth expansion and its application to adding high-frequency missing features for automatic speech recognition of narrowband speech. | Kehuang Li, Zhen Huang, Yong Xu, Chin-Hui Lee |
| 2015 | Interspeech | Multi-objective learning and mask-based post-processing for deep neural network based speech enhancement. | Yong Xu, Jun Du, Zhen Huang, Li-Rong Dai, Chin-Hui Lee |
| 2014 | ADMA | Towards Ontology-Enhanced Cloud Services Discovery. | Abdullah Alfazi, Talal H. Noor, Quan Z. Sheng, Yong Xu |
| 2014 | APSEC | Using Genetic Algorithms to Repair JUnit Test Cases. | Yong Xu, Bo Huang, Guoqing Wu, Mengting Yuan |
| 2014 | CVPR | Lacunarity Analysis on Image Patterns for Texture Classification. | Yuhui Quan, Yong Xu, Yuping Sun, Yu Luo |
| 2014 | Interspeech | Robust speech recognition with speech enhanced deep neural networks. | Jun Du, Qing Wang, Tian Gao, Yong Xu, Li-Rong Dai, Chin-Hui Lee |
| 2014 | Interspeech | Dynamic noise aware training for speech enhancement based on deep neural networks. | Yong Xu, Jun Du, Li-Rong Dai, Chin-Hui Lee |
| 2014 | WISE | Keyword Search over Web Documents Based on Earth Mover's Distance. | Jiangang Ma, Quan Z. Sheng, Lina Yao, Yong Xu, Ali Shemshadi |
| 2014 | SmartComp | A people counting method based on head detection and tracking. | Bin Li, Jian Zhang, Zheng Zhang, Yong Xu |
| 2013 | MASCOTS | Carbon-Aware Load Balancing for Geo-distributed Cloud Services. | Zhi Zhou, Fangming Liu, Yong Xu, Ruolan Zou, Hong Xu, John C. S. Lui, Hai Jin |
| 2012 | CVPR | Contour-based recognition. | Yong Xu, Yuhui Quan, Zhuming Zhang, Hui Ji, Cornelia Fermller, Morimichi Nishigaki, Daniel DeMenthon |
| 2012 | ICNC | Generalized predictive control model based on support vector machines. | Yong Xu |
| 2012 | ICPR | Sparse residue for occluded face image reconstruction and classification. | Jinghua Wang, Yong Xu, Jane You |
| 2012 | ICPR | Kernel based sparse representation for face recognition. | Qi Zhu, Yong Xu, Jinghua Wang, Zizhu Fan |
| 2011 | FIE | Work in progress - Hands-on learning of fundamental concepts in electromagnetic fields. | Yong Xu, Kathleen Meehan, Xiangyu Wei, Alan B. Overby, Cortney Martin |
| 2011 | ICCV | Dynamic texture classification using dynamic fractal analysis. | Yong Xu, Yuhui Quan, Haibin Ling, Hui Ji |
| 2010 | CVPR | A new texture descriptor using multifractal analysis in multi-orientation wavelet pyramid. | Yong Xu, Xiong Yang, Haibin Ling, Hui Ji |
| 2009 | CAIP | Differential Feature Analysis for Palmprint Authentication. | Xiangqian Wu, Kuanquan Wang, Yong Xu, David Zhang |
| 2009 | CVPR | Combining powerful local and global statistics for texture description. | Yong Xu, Si-Bin Huang, Hui Ji, Cornelia Fermller |
| 2009 | HCI | Systems and Strategies for Accessing the Information Content of fNIRS Imaging in Support of Noninvasive BCI Applications. | Randall L. Barbour, Harry L. Graber, Yong Xu, Yaling Pei, Glenn R. Wylie, Gerald T. Voelbel, John DeLuca, Andrei V. Medvedev |
| 2009 | ICIP | Integrating local feature and global statistics for texture analysis. | Yong Xu, Si-Bin Huang, Hui Ji |
| 2009 | ICNC | A Symmetric Orthogonal FastICA Algorithm and Applications in EEG. | Xuhui Chen, Lei Wang, Yong Xu |
| 2009 | INDIN | Inter-vehicle dynamic data management and communication design. | Yong Xu, Xiang-Wen Zhang, Ming Pan, Yong-Xian Fan |
| 2009 | ISNN | Synchronization between Two Different Hyperchaotic Dynamical Systems Using Nonlinear Control. | Lei Wang, Yong Xu |
| 2009 | ISNN | Grooming of Dynamic Traffic in WDM Tree Networks Using Genetic Algorithms. | Shutong Xie, Yinbiao Guo, Yong Xu, Kun-Hong Liu |
| 2009 | ISNN | A Stochastic Lotka-Volterra Model with Variable Delay. | Yong Xu, Song Zhu, Shigeng Hu |
| 2009 | WACV | Biometric cryptographic key generation based on city block distance. | Xiangqian Wu, Peipei Wang, Kuanquan Wang, Yong Xu |
| 2008 | SSPR | A New Solution Scheme of Unsupervised Locality Preserving Projection Method for the SSS Problem. | Yong Xu, David Zhang |
| 2007 | ICONIP | The Local True Weight Decay Recursive Least Square Algorithm. | Chi-Sing Leung, Kwok-Wo Wong, Yong Xu |
| 2007 | PRDC | A Path Diversity Metric for End-to-End Network. | Song Huang, Yong Xu, Ling Zhang |
| 2006 | APSCC | Research on Hot Line Lottery-Ticket-Buying Project Based on PSTN SMS. | Yong Xu |
| 2006 | CVPR | A Projective Invariant for Textures. | Yong Xu, Hui Ji, Cornelia Fermller |
| 2006 | ICCE | A Study of the Present Status of IT Teachers Training In Microsoft's 'Partners in Learning' Project - A Content Analysis Approach. | GuiJing Huang, Yong Xu, JinBao Zhang, XiaoYuan Wang |
| 2006 | ICINCO | Intelligent simulator design for distributed pipeline networks control. | Yong Xu |
| 2005 | CIS | A New Group Rekeying Method in Secure Multicast. | Yong Xu, Yuxiang Sun |
| 2005 | ICCCN | Resource management and QoS control in multiple traffic wireless and mobile Internet systems. | Yong Xu, Huazhou Liu, Qing-An Zeng |
| 2005 | ISWC | A Novel Intelligent Textile Technology Based on Silicon Flexible Skins. | Rakesh B. Katragadda, Yong Xu |
| 2005 | KES | How to Make Robot a Robust and Interactive Communicator. | Yoshiyasu Ogasawara, Masashi Okamoto, Yukiko I. Nakano, Yong Xu, Toyoaki Nishida |
| 2005 | WCNC | Modeling and performance analysis of future generation multimedia wireless and mobile networks using smart antennas. | Huazhou Liu, Yong Xu, Qing-An Zeng |
| 2004 | CEC | Non-standard cost terminal assignment problems using tabu search approach. | Yong Xu, Sancho Salcedo-Sanz, Xin Yao |
| 2004 | IDEAL | An Improved Constructive Neural Network Ensemble Approach to Medical Diagnoses. | Zhenyu Wang, Xin Yao, Yong Xu |
| 2001 | CEC | Heuristic operators, redundant mapping and other issues in genetic algorithms. | Yong Xu, Shen-Chu Xu |