Kele Xu

Recent News:

• 2024-05: One paper is accepted by International Conference on Machine Learning (ICML).
• 2024-04: I will serve as Data Chair at MER24 Challenge@IJCAI and MRAC24 Workshop@ACM MM [Link].
• 2024-04: One paper is accepted by IEEE/ACM Transactions on Audio, Speech, and Language Processing.
• 2024-04: Ranked as the 3rd place in 2024 CVPR NTIRE Challenge on HR Depth from Images.
• 2024-03: Two papers are accepted by IEEE Conference on Multimedia Expo (ICME).
• 2024-02: One paper is accepted by IEEE Transactions on Cognitive and Developmental Systems.
• 2023-12: Four papers are accepted by International Conference on Acoustics, Speech and Signal Processing (ICASSP).
• 2023-12: One paper is accepted by AAAI Conference on Artificial Intelligence (AAAI).
• 2023-11: One paper is accepted by Biomedical Signal Processing and Control.
• 2023-10: One paper is accepted by IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
• 2023-10: One paper is accepted by ACM Transactions on Asian and Low-Resource Language Information Processing.
• 2023-09: One paper is accepted by IEEE Transactions on Artificial Intelligence.
• 2023-09: One paper is accepted by Intelligent Computing.
• 2023-08: One paper is accepted by IEEE Transactions on Emerging Topics in Computational Intelligence.
• 2023-08: One paper is accepted by IEEE Transactions on Circuits and Systems II.
• 2023-07: Three papers are accepted by ACM International Conference on Multimedia.
• 2023-07: We organised a special session "Recent Advances in Biosignal-based Speech Communication and Biosignal Processing" at APSIPA ASC 2023[Link].
• 2023-07: One paper is accepted by The Journal of the Acoustical Society of America [Link].
• 2023-07: Ranked as the 2nd place in ACM MM 2023 Visual Text Question Answer (VTQA) Challenge.
• 2023-06: Two papers are accepted by Ultrasound in Obstetrics & Gynecology.
• 2023-05: Ranked as the 3rd place in IEEE DCASE2023 Challenge on Few-shot Bioacoustic Event Detection Task.
• 2023-04: Ranked as the 1st place in IEEE ICME 2023 - Grand Challenge on Detecting CheapFakes.
• 2023-02: Four papers are accepted by International Conference on Acoustics, Speech and Signal Processing (ICASSP).
• 2022-12: Meritorious Winner Award in NeurIPS Multi-modality Cell Segmentation Challenge.
• 2022-07: One paper is accepted by IEEE/ACM International Conference on Automated Software Engineering.
• 2022-07: Three papers are accepted by ACM International Conference on Multimedia.
• 2022-07: Ranked as the 1st place in IEEE DCASE2022 Challenge on Few-shot Bioacoustic Event Detection Task.
• 2022-06: Ranked as the 1st place in ACM Multimedia Pre-training video understanding challenge Track 2 [Link].
• 2022-04: One paper is accepted by International Joint Conference on Artificial Intelligence.
• 2022-03: One paper is accepted by Computers & Security.
• 2022-01: Two papers are accepted by IEEE International Conference on Acoustics, Speech, and Signal Processing.
• 2021-12: One paper is accepted by AAAI Conference on Artificial Intelligence.
• 2021-10: One paper is accepted by IEEE Transactions on Geoscience and Remote Sensing.
• 2021-07: Ranked as the 1st place in ACM MM Multi-modal ads video understanding Challenge [Link].
• 2021-05: One paper is accepted by IEEE Transactions on Medical Imaging.
• 2021-04: One paper is accepted by ACM International Conference on Multimedia Retrieval.
• 2021-04: Winner at IEEE ISBI A-AFMAChallenge.
• 2021-04: Winner at ACM International Conference on Multimedia Retrieval ROD Challenge.
• 2021-02: Two papers are accepted by IEEE International Conference on Acoustics, Speech, and Signal Processing.
• 2021-01: One paper is accepted by IEEE Geoscience and Remote Sensing Letters.
• 2020-11: Two papers are accepted by International Seminar on Speech Production.
• 2020-10: Prize Winner at TissueNet competition among more than 547 participants [Link].
• 2020-08: Three papers are accepted by ACM International Conference on Multimedia.
• 2020-07: One paper is accepted by Conference of the International Speech Communication Association (InterSpeech).
• 2020-07: One paper is accepted by IEEE/ACM Transactions on Audio, Speech, and Language Processing.
• 2020-06: Top performance award in ACM MultiMedia Social Media Prediction Challenge.
• 2020-05: One paper is accepted by The Journal of the Acoustical Society of America EL.
• 2020-02: Ranked as the 1st place in ECDP HEROHE Challenge [Link].
• 2020-01: One paper is accepted by SCIENCE CHINA Information Sciences.

Brief Bio:

I have received my Ph.D. degree from Université Pierre et Marie CURIE, Paris, France [Link], worked with Prof. Bruce Denby and Prof. Gerard Dreyfus (IEEE Fellow). My current research interests include Multimodal Machine Learning and Software Engineering. I am also interested in the applications of machine learning for audio signal processing, speech processing.

During my part-time, I am a competition-driven researcher. I have won many data mining / machine learning competitions during last years, including ACM KDD Cup [Link], Kaggle [Link], Tianchi [Link] and CCF BDCI (CCF Big Data Computing Intelligence Contest). I am also a Kaggle Grandmaster [Link].

Research Interests:

• Computer Audition
• Multi-modal Machine Learning
• Software Engineering

Academic Services:

• Memberships:
  • Acoustical Society of America (ASA), Full Member.
  • IEEE Member.
  • IEEE Image Analysis and Data Fusion (IADF) Technical Committee Member.
  • China Computer Federation (CCF), Senior Member.
  • Chinese Association of Automation (CAA), Lifelong Member.
  • Acoustical Society of China (ASC), Member.
• Session Chair, PC Member, Meta-Reviewer or External Reviewer:
  • Neural Information Processing Systems (NeurIPS).
  • International Joint Conferences on Artificial Intelligence (IJCAI).
  • AAAI Conference on Artificial Intelligence (AAAI).
  • International Conference on Computer Vision (ICCV).
  • International Conference on Acoustics, Speech & Signal Processing (ICASSP).
  • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
  • ACM International Conference on Multimedia (ACM MM).
  • Medical Image Computing and Computer Assisted Intervention (MICCAI).
  • IEEE Conference on Multimedia Expo (ICME).
  • European Conference on Computer Vision (ECCV).
  • International Conference of the Speech Communication Association (INTERSPEECH).
  • IEEE International Symposium on Biomedical Imaging (ISBI).
  • Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
  • ...
• Journal Reviewer:
  • Nature Communication.
  • The Journal of the Acoustical Society of America.
  • Acta Acustica united with Acustica.
  • Speech Communication.
  • Computer Speech & Language.
  • IEEE/ACM Transactions on Audio, Speech and Language Processing.
  • IEEE Transactions on Cognitive and Developmental Systems.
  • IEEE Transactions on Signal Processing.
  • IEEE Transactions on Image Processing.
  • IEEE Transactions on Circuits and Systems for Video Technology.
  • IEEE Transactions on Geoscience and Remote Sensing.
  • IEEE Geoscience and Remote Sensing Letters.
  • IEEE Transactions on Systems, Man and Cybernetics: Systems.
  • IEEE Journal of Biomedical and Health Informatics.
  • IEEE Internet of Things Journal.
  • IEEE Transactions on Services Computing.
  • ACM Transactions on Intelligent Systems and Technology.
  • SCIENCE CHINA Information Sciences.
  • Neural Networks.
  • Biocybernetics and Biomedical Engineering.
  • Engineering Applications of Artificial Intelligence.
  • Biomedical Signal Processing & Control.
  • BMC Medical Imaging.
  • Intelligent Medicine.
  • Computer Methods and Programs in Biomedicine.
  • Computers in Biology and Medicine.
  • Expert Systems With Applications.
  • ...

Selected competitions awards:

• Data Mining:
  • Outstanding Supervisor Award at CCF BDCI competition, 2020.
  • 1st place among more than 2000 teams at CCF BDCI, Prize Winner, 2016.
  • 2nd place among more than 1000 teams at CCF BDCI, Prize Winner, 2017.
  • 2nd place among 5163 teams at Kaggle-Porto Seguro's Safe Driver Prediction, Prize Winner, 2018.
  • 3rd place among 3513 teams at ACM KDD Cup Traffic Volume Prediction Track, Prize Winner, 2017.
  • 3rd place among more than 600 teams at Santa's Uncertain Bags Optimization Competition, Gold Medal, 2016.
  • 4th place among more than 800 teams at Rong360 Finance Risk Manangement Big Data Competition, Prize Winner, 2016.
  • 5th place among more than 600 teams at The 3rd Alibaba Cloud Security Algorithm Challenge, Prize Winner, 2018.
  • 11th place among 5122 teams at Kaggle Santander Customer Satisfaction, Gold Medal, 2016.
  • 23th place among 7190 teams at Kaggle Home Credit Default Risk Prediction, Gold Medal, 2016.
  • 26th place among 8802 teams at Kaggle Santander Customer Transaction Prediction, Gold Medal, 2016.
  • ...
• Deep Learning for NLP/CV/Audio/Multi-Modal/Medical Imaging:
  • Meritorious Winner Award in NeurIPS Multi-modality Cell Segmentation Challenge, 2022.
  • 1st place in IEEE ICME Grand Challenge on Detecting CheapFakes, 2023.
  • 1st place at ACM Multimedia Pre-training video understanding challenge Track 2, 2022.
  • 1st place at IEEE DCASE Challenge Few-shot Bioacoustic Event Detection Task, 2022.
  • 1st place at ACM MM Multi-modal ads video understanding Challenge, 2021.
  • 1st place at European Congress on Digital Pathology (ECDP2020) HEROHE Competition, Prize Winner, 2020.
  • 1st place among more than 900 teams at Medical Health Big Data Innovation Application, Prize Winner, 2018.
  • 2nd place in ACM MM Visual Text Question Answer (VTQA) Challenge, 2023.
  • 3rd place in ACM MM Conversational Head Generation Challenge, 2023.
  • 3rd place in IEEE DCASE Challenge on Few-shot Bioacoustic Event Detection Task, 2023.
  • Top performance award at ACM MultiMedia Social Media Prediction (SMP) Challenge (SMP2020), 2020.
  • 3rd place (Winner) at ACM International Conference on Multimedia Retrieval ROD Challenge, 2021.
  • 3rd place among more than 548 teams at Kaggle Avito Duplicate Ads Detection, Prize Winner, 2018.
  • 3rd place at ISBI A-AFMA Ultrasound Challenge, Winner, 2021.
  • 3rd place at CVPR NTIRE Challenge on HR Depth from Images, 2024.
  • 4th place at International Conference on Acoustics, Speech, and Signal Processing NAD Challenge on Network Anomaly Detection, 2021.
  • 4th place at TissueNet Competition, Prize Winner, 2020.
  • 4th place at ECCV AIM Challenge on Scene Relighting and Illumination Estimation, 2020.
  • 4th place at InterSpeech AutoSpeech Challenge (AutoSpeech), 2020.
  • 4th place among 3229 teams at Kaggle TGS Salt Identification Challenge, Prize Winner, 2018.
  • 5th place at CVPR NTIRE NonHomogeneous Dehazing challenge, 2024.
  • 6th place at CVPR NTIRE Perceptual Image Quality Assessment Challenge, 2022.
  • 6th place at CVPR NTIRE Multi-modal Aerial View Object Classification Challenge, 2021.
  • 7th place at CVPR NTIRE Perceptual Image Quality Assessment Challenge, 2021.
  • 8th place among more than 4800 teams at Daguan Cup: Long Sentence Classification Challenge, Prize Winner, 2019.
  • 8th place among 1871 teams at Kaggle Avito Demand Prediction Challenge, Gold Medal, 2018.
  • 10th place among 2382 teams at Kaggle Mercari Prize Suggestion Challenge, Gold Medal, 2018.
  • ...

Selected Publications:

• [Google Scholar Profile] for full publication list.
• * denotes for corresponding author.

Under revision/Under submission:

• Qisheng Xu, Zijian Gao, Yong Dou, Kele Xu*, Caili Gao, Dawei Feng, Xinjun Mao. "Uncertainty-guided Few-shot Class-incremental Audio Classification", IEEE/ACM Transactions on Audio, Speech, and Language Processing.
• Jianbin Ye, Pengfei Sun, Yanjie Sun, Bo Liu, Changjian Wang, Tao Sun, Man Xiao, Paul Devos, Dick Botteldooren, Kele Xu*. "Improve EEG Auditory Decoding with Selective Augmentation Integration", IEEE/ACM Transactions on Audio, Speech, and Language Processing.
• Zekun Tao, Changjian Wang*, Kele Xu*, Tao Sun, Yong Guo, Kun Qian, Yanru Bai and Shanshan Li. "Information Diffusion Prediction with Augmented Diffusion Dependency and Multi-Granularity Temporal Influence", IEEE Transactions on Computational Social Systems.
• Zhen Xia, Ruicheng Yuan, Yuan Cao, Tao Sun, Yunsheng Xiong, Kele Xu*. "B-Mode Ultrasound Tongue Image Analysis: A system review", The Journal of the Acoustical Society of America.
• Zijian Gao, Kele Xu*, Huiping Zhuang, Li Liu, Bo Ding, Dawei Feng, Xinjun Mao, Huaimin Wang. "Less Confidence, Less Forgetting: Learning with A Humbler Teacher in Exemplar-free Class-Incremental Learning", Neural Networks.
• Boqing Zhu, Changjian Wang, Kele Xu*, Dawei Feng, Zemin Zhou, Yuxing Peng and Xiaoqian Zhu. "Continual Audio-Visual Representation Learning for Class Incremental Scenario", Knowledge-Based Systems.
• Wuyang Chen, Kele Xu*, Boqing Zhu, Yong Dou. "VoiceStyle: Voice-based Face Generation Via Cross-modal Prototype Contrastive Learning", ACM Transactions on Multimedia Computing, Communications, and Applications.
• Shaoqi Sun, Kele Xu*, Dawei Feng, Bo Ding. "Collective Incentive Policy for Solving Sparse Reward in Multi-Agent Reinforcement Learning", IEEE Transactions on Emerging Topics in Computational Intelligence.
• Bin Li, Yijie Wang, Li Cheng, Kele Xu, Zheng Qin, Xinwang Liu. "Density-aware Federated Active Intrusion Detection on Dynamic Network Traffic Streams", IEEE Transactions on Neural Networks and Learning Systems.
• Shaoqi Sun, Kele Xu*, Dawei Feng, Bo Ding. "Bi-Directional lnfluence and interaction for Multi-Agent Reinforcement Learning", IEEE Transactions on Artificial Intelligence.
• Xu Wang, Kele Xu*, Ting Yu, Yang Zhang, Bo Ding, Dawei Feng. "Large Pretrained Foundation Model for KPI Multivariate Time Series Anomaly Detection", IEEE Transactions on Instrumentation & Measurement.
• Yuxuan Li, Jianguo Wei, Qiang Fang, Kele Xu, Ruiteng Zhang, Xugang Lu. "An Evaluation Framework for An Ultrasound Imaging-based Articulatory Observation Instrument", IEEE Transactions on Instrumentation & Measurement.
• Zijian Gao, Kele Xu*, Yuanzhao Zhai, Bo Ding, Dawei Feng, Xinjun Mao, Huaimin Wang. "Self-Supervised Exploration via Temporal Inconsistency in Reinforcement Learning", IEEE Transactions on Artificial Intelligence.
• Zijian Gao, Bo Liu, Kele Xu*, Xinjun Mao, Huaimin Wang. "Correlation-based Knowledge Distillation in Exemplar-Free Class-Incremental Learning", IEEE Transactions on Artificial Intelligence.
• Qiang Wang, Kele Xu*, Dawei Feng, Bo Ding, Huaimin Wang. "Memory Replay with Unlabeled Data for Semi-Supervised Class-Incremental Learning via Temporal Consistency" IEEE Transactions on Cognitive and Developmental Systems.
• Bin Li, Yijie Wang, Li Cheng, Kele Xu, Zheng Qin, Mingyu Liu, Hongzuo Xu. "Unifying Feature-level and Rule-level Anomaly Explanations for Prototype-based Models on Data Streams", World Wide Web.
• Ting Yu, Kele Xu*, Xu Wang, Bo Ding, Dawei Feng. "Self-Supervised Learning-Based Time Series Classification via Hierarchical Sparse Convolutional Masked-Autoencoder", IEEE Open Journal of Signal Processing.
• Ting Yu, Kele Xu*, Xu Wang, Zijian Gao, Peichang Shi, Bo Ding, Dawei Feng. "Dual Temporal Masked Modeling for KPI Anomaly Detection via Similarity Aggregation", IEEE Transactions on Network and Service Management.
• Zekun Tao, Changjian Wang*, Zhiliang Tian, Kele Xu*, Yong Guo, Shanshan Li, Yanru Bai, Da Xie. "SIAT: Document-level Event Extraction via Spatiality-Augmented Interaction Model with Adaptive Thresholding", ACM Transactions on Asian and Low-Resource Language Information Processing.

2024:

• Xudong Gong, Dawei Feng, Kele Xu, Yuanzhao Zhai, Chengkang Yao, Weijia Wang, Bo Ding, Huaimin Wang. "Iterative Regularized Policy Optimization with Imperfect Demonstrations", International Conference on Machine Learning.
• Yanjie Sun, Kele Xu*, Chaorun Liu, Yong Dou, Huaimin Wang, Bo Ding, Qinghua Pan. "Automated Data Augmentation for Audio Classification", IEEE/ACM Transactions on Audio, Speech, and Language Processing.
• Yanjie Sun, Kele Xu*, Yong Dou, Tian Gao. "Self-Supervised Learning-Based General Fine-tuning Framework For Audio Classification and Event Detection", IEEE Conference on Multimedia Expo.
• Wuyang Chen, Kele Xu*, Yong Dou, Tian Gao. "Voice-to-Face Generation: Couple of Self-Supervised Representation Learning with Diffusion Model", IEEE Conference on Multimedia Expo.
• Weiguo Chen, Changjian Wang*, Kele Xu*, Yuan Yuan, Yanru Bai, Dongsong Zhang. "D-FaST: Cognitive Signal Decoding with Disentangled Frequency-Spatial-Temporal Attention", IEEE Transactions on Cognitive and Developmental Systems.
• Kele Xu, Kang You, Boqing Zhu, Ming Feng, Dawei Feng, Cheng Yang. "Masked Modeling-Based Ultrasound Image Classification Via Self-Supervised Learning", IEEE Open Journal of Engineering in Medicine and Biology.
• Huanxi Liu, Yuanzhao Zhai, Kele Xu, Dawei Feng, Yiying Li, "Nuclear-norm Maximization for Low-Rank Updates", IEEE International Conference on Acoustics, Speech, and Signal Processing.
• Tianjiao Wan, Yutao Dou, Kele Xu, Zijian Gao, Bo Ding, Dawei Feng, Huaimin Wang, "Temporal Inconsistency-based Active Learning", IEEE International Conference on Acoustics, Speech, and Signal Processing.
• Caili Gao, Qisheng Xu, Peng Qiao, Kele Xu, Xifu Qian, Yong Dou, "Adapter-based Incremental Learning for Face Forgery Detection", IEEE International Conference on Acoustics, Speech, and Signal Processing.
• Xu Wang, Kele Xu, Ting Yu, Bo Ding, Dawei Feng, "Transformer-inspired Lightweight Model for Efficient Time Series Forecasting", IEEE International Conference on Acoustics, Speech, and Signal Processing.
• Ming Feng, Kele Xu*, Nanhui Wu, Weiquan Huang, Yan Bai, Changjian Wang, Huaimin Wang, "Trusted Multi-Scale Classification Framework for Whole Slide Image", Biomedical Signal Processing and Control.
• Yuanzhao Zhai, Yiying Li, Zijian Gao, Xudong Gong, Kele Xu, Dawei Feng, Bo Ding, Huaimin Wang, "Optimistic Model Rollouts for Pessimistic Offline Policy Optimization", AAAI Conference on Artificial Intelligence.

2023:

• Qisheng Xu, Jingfei Jiang, Yong Dou, Kele Xu, Kang You, Boqing Zhu, Caili Gao. "Self-supervised Learning-for Underwater Acoustic Signal Classification with Mixup", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
• Da Li, Boqing Zhu, Sen Yang, Kele Xu*, Ming Yi, Yukai He and Huaimin Wang. "Multi-task Pre-training Language Model for Semantic Network Completion", ACM Transactions on Asian and Low-Resource Language Information Processing.
• Chao Chen, Yuanzhao Zhai, Zijian Gao, Kele Xu*, Sen Yang, Yiying Li, Bo Ding, Dawei Feng and Huaimin Wang. "Nuclear Norm Maximization Based Curiosity-Driven Reinforcement Learning", IEEE Transactions on Artificial Intelligence.
• Tianjiao Wan, Kele Xu*, Ting Yu, Xu Wang, Dawei Feng, Bo Ding, Huaimin Wang. "A Survey of Deep Active Learning For Foundation Model", Intelligent Computing.
• Zijian Gao, Yiying Li, Kele Xu*, Yuanzhao Zhai, Bo Ding, Dawei Feng, Xinjun Mao, Huaimin Wang. "Dynamic Memory-Based Curiosity: A Bootstrap Approach for Exploration in Reinforcement Learning", IEEE Transactions on Emerging Topics in Computational Intelligence.
• Da Li, Boqing Zhu, Kele Xu*, Sen Yang, Dawei Feng, Bo Liu and Huaimin Wang. "Enhanced Cross-Modal Transformer Model for Video Semantic Similarity Measurement", IEEE Transactions on Circuits and Systems II: Express Briefs.
• Yanjie Sun, Kele Xu*, Chaorun Liu, Yong Dou, Kun Qian. "Automatic Audio Augmentation for Requests Sub-Challenge", ACM International Conference on Multimedia.
• Ming Feng, Kele Xu*, Hengxin Cai. "IFS-SED: Incremental Few-Shot Sound Event Detection Using Explicit Learning and Calibration", ACM International Conference on Multimedia.
• Haoru Chen, Tianjiao Wan, Zhimin Lin, Kele Xu*, Jin Wang, Huaimin Wang. "VTQAGen: BART-based Generative Model For Visual Text Question Answering", ACM International Conference on Multimedia.
• Kele Xu, Qisheng Xu, Kang You, Ming Feng, Boqing Zhu, Ming Feng, Dawei Feng and Bo Liu. "Self-Supervised Learning-Based Underwater Acoustical Signal Classification Via Mask Modeling", The Journal of the Acoustical Society of America.
• Qisheng Xu, Kele Xu*, Yong Dou, Boqing Zhu, Caili Gao, Peng Qiao and Dawei Feng. "A review of underwater target recognition based on passive sonar signals", Aata Automatica Sinica.
• Ming Feng, Kele Xu*, Yingting Liu, Yang Liu, Bo Liu. "A morphology-based deep learning for fetal head circumference measurement", Ultrasound in Obstetrics & Gynecology .
• Ming Feng, Kele Xu*, Yingting Liu, Yang Liu, Ruicheng Yuan. "Self-supervised learning-based automated classification model for fetal ultrasound planes", Ultrasound in Obstetrics & Gynecology.
• Zijian Gao, Kele Xu*, Hongda Jia, Tianjiao Wan, Ding Bo, Dawei Feng, Xinjun Mao and Huaimin Wang, "Complementary Learning System Based Intrinsic Rewards in Reinforcement Learning", IEEE International Conference on Acoustics, Speech, and Signal Processing.
• Kang You, Bo Liu, Kele Xu, Yunsheng Xiong, Qisheng Xu, Ming Feng, Tamás Csapó and Boqing Zhu, "Raw Ultrasound-based Phonetic Segments Classification Via Mask Modeling", IEEE International Conference on Acoustics, Speech, and Signal Processing.
• Shaoqi Shun, Yuanzhao Zhai, Kele Xu, Dawei Feng, and Bo Ding, "Progressive Diversifying Policy for Multi-Agent Reinforcement Learning", IEEE International Conference on Acoustics, Speech, and Signal Processing.
• Yuanzhao Zhai, Kele Xu, Bo Ding, Dawei Feng, and Huaimin Wang, "Diversifying Message Aggregation in Multi-Agent Communication via Normalized Tensor Nuclear Norm Regularization" IEEE International Conference on Acoustics, Speech, and Signal Processing.
• Kele Xu*, Kang You, Ming Feng and Boqing Zhu, "Trust-worth Multi-Representation Learning For Audio Classification With Uncertainty Estimation", The Journal of the Acoustical Society of America.
• Kang You, Kele Xu*, Jilong Wang and Ming Feng, "Domain adaptation towards speaker-independent ultrasound tongue imaging based articulatory-to-acoustic conversion", The Journal of the Acoustical Society of America.

2022:

• Kang You, Kele Xu*, Ming Feng and Boqing Zhu, "Underwater acoustic classification using masked modeling-based swin Transformer", The Journal of the Acoustical Society of America.
• Nicolas Loménie, Capucine Bertrand, Rutger HJ Fick, Saima Ben Hadj, Brice Tayart, Cyprien Tilmant, Isabelle Farré, Soufiane Z Azdad, Samy Dahmani, Gilles Dequen, Ming Feng, Kele Xu, et al. "Can AI predict epithelial lesion categories via automated analysis of cervical biopsies: The TissueNet challenge?", Journal of Pathology Informatics.
• Yiwen Wu, Yang Zhang, Kele Xu, Tao Wang, Huaimin Wang, "Understanding and Predicting Docker Build Duration: An Empirical Study of Containerized Workflow of OSS Projects", IEEE/ACM International Conference on Automated Software Engineering.
• Xiaochen Cai, Hengxing Cai, Boqing Zhu, Kele Xu*, Wei-Wei Tu, Dawei Feng, "Multiple Temporal Fusion based Weakly-supervised Pre-training Techniques for Video Categorization", ACM International Conference on Multimedia.
• Kang You, Kele Xu*, Boqing Zhu, Ming Feng, Dawei Feng, Bo Liu, Tian Gao and Bo Ding, "Masked Modeling-based Audio Representation for ACM Multimedia 2022 Computational Paralinguistics ChallengE", ACM International Conference on Multimedia.
• Kele Xu, Ming Feng and Weiquan Huang, "Seeing Speech: Magnetic Resonance Imaging-Based Vocal Tract Deformation Visualization Using Cross-Modal Transformer", ACM International Conference on Multimedia.
• Boqing Zhu, Kele Xu*, Changjian Wang, Zheng Qin, Tao Sun, Huaimin Wang and Yuxing Peng, "Unsupervised Voice-Face Representation Learning by Cross-Modal Prototype Contrast", International Joint Conference on Artificial Intelligence. [Code]
• Bin Li, Yijie Wang, Kele Xu, Li Cheng, Zhiquan Qin, "DFAID: Density-aware and Feature-deviated Active Intrusion Detection with Limited Query Data over Network Traffic Stream", Computers & Security.
• Yunsheng Xiong, Kele Xu*, Yong Dou, Yang Zhao and Zikai Gao, "WRMatch: Improving FixMatch with Weighted Nuclear-Norm Regularization for Few-Shot Remote Sensing Scene Classification", IEEE Transactions on Geoscience and Remote Sensing. [Paper]
• Zhishan Zhao, Sen Yang, Guohui Liu, Dawei Feng and Kele Xu*, "FINT: Field-aware INTeraction Neural Network For CTR Prediction", IEEE International Conference on Acoustics, Speech, and Signal Processing . [Code]
• Yunsheng Xiong, Kele Xu*, Meng Jiang, Liang Cheng, Yong Dou and Jinjia Wang, "Improving the Classification of Phonetic Segments from Raw Ultrasound Using Self-Supervised Learning and Hard Example Mining", IEEE International Conference on Acoustics, Speech, and Signal Processing . [Code]
• Qingsong Zhou, Kele Xu* and Ming Feng. "EasySED: Trusted Sound Event Detection With Self-Distillation", Thirty-Sixth AAAI Conference on Artificial Intelligence .

2021:

• Kele Xu, Tamas Gábor Csapó and Ming Feng, "Convolutional Neural Network-Based Age Estimation Using B-Mode Ultrasound Tongue Image", The Journal of the Acoustical Society of America .
• Liang Gao, Kele Xu*, Huaimin Wang and Yuxing Peng, "Multi-representation knowledge distillation for audio classification", Multimedia Tools and Applications.
• Ruchika Verma, Neeraj Kumar,..., Kele Xu, "MoNuSAC2020: A Multi-organ Nuclei Segmentation and Classification Challenge", IEEE Transactions on Medical Imaging.
• Pengliang Sun, Xuetong Niu, Pengfei Sun and Kele Xu*, "Squeeze-and-Excitation network-Based Radar Object Detection With Weighted Location Fusion", ACM International Conference on Multimedia Retrieval.
• Yunsheng Xiong, Peng Zhang, Yong Dou, Kele Xu and Xin Niu, "Focus on Hard Categories and Hard Examples: Remote Sensing Image Scene Classification via Expert Model and Hard Example Mining", IEEE Geoscience and Remote Sensing Letters. [Paper]
• Feng Ming, Kele Xu*, Yin Wang, Bo Ding and Huaimin Wang, "Improving ultrasound tongue contour extraction using U-Net and shape consistency-based regularizer", IEEE International Conference on Acoustics, Speech, and Signal Processing . [Paper]
• Bin Li, Yijie Wang, Mingyu Liu, Kele Xu, Zhongyang Wang, Li Cheng, Yizhou Li, "FDEN: Mining Effective Information of Features in Detecting Network Anomalies", IEEE International Conference on Acoustics, Speech, and Signal Processing . [Paper]

2020:

• Kele Xu, Tamás Gábor Csapó, Dawei Feng and Haibo Mi, "Ultrasound Tongue Gestural Sequence Classification Using Convolutional Auto-encoder and Recurrent Neural Network", International Seminar on Speech Production.
• Tamás Gábor Csapó, Kele Xu, Andrea Deme, Tekla Etelka Gráczi and Alexandra Markó, "Transducer Misalignment in Ultrasound Tongue Imaging", International Seminar on Speech Production.
• Kele Xu, Zhimin Lin, Jianqiao Zhao, Peicang Shi, Wei Deng and Huaimin Wang, "Multimodal Deep Learning for Social Media Popularity Prediction With Attention Mechanism", ACM International Conference on Multimedia.
• Ming Feng, Kele Xu*, Yin Wang, "A Quantitative Comparison of Different Machine Learning Approaches for Human Spermatozoa Quality Prediction Using Multimodal Datasets", ACM International Conference on Multimedia.
• Kele Xu, Yuzhong Liu, Ming Feng, Jianqiao Zhao, Huaimin Wang and Hengxing Cai, "Multi-Scale Generalized Attention-Based Regional Maximum Activation of Convolutions for Beauty Product Retrieval", ACM International Conference on Multimedia.
• Tamás Gábor Csapó and Kele Xu, "Quantification of Transducer Misalignment in Ultrasound Tongue Imaging", Conference of the International Speech Communication Association (InterSpeech).
• Boqing Zhu, Kele Xu*, Qiuqiang Kong, Huaimin Wang and Yuxing Peng, "Audio Tagging by Cross Filtering Noisy Labels", IEEE/ACM Transactions on Audio, Speech, and Language Processing.
• Kele Xu, Jianqiao Zhao, Boqing Zhu and Chaojie Zhao, "Predicting ultrasound tongue image from lip images using sequence to sequence learning", The Journal of the Acoustical Society of America.
• Haibo Mi, Kele Xu*, Dawei Feng, HuaiMin Wang, Yiming Zhang, Zibin Zheng, Chuan Chen and Xu Lan, "Collaborative Deep Learning Across Multiple Data Centers", SCIENCE CHINA Information Sciences.

2019:

• Kele Xu, Yuxiang Wu and Zhifeng Gao, "Ultrasound-Based Silent Speech Interface using Sequential Convolutional Auto-encoder", ACM International Conference on Multimedia.
• Yingwei Fu, Kele Xu, Haibo Mi, Huaimin Wang, Dezhi Wang and Boqing Zhu, "A Mobile Application for Sound Event Detection", International Joint Conference on Artificial Intelligence.
• Haibo Mi, Kele Xu, Yang Xiang, Yulin He, Dawei Feng, Huaimin Wang, Chun Wu, Yanming Song and Xiaolei Sun, "A Quantitative Analysis Platform for PD-L1 Immunohistochemistry Based on Point-Level Supervision Model", International Joint Conference on Artificial Intelligence.
• Kele Xu, Boqing Zhu, Qiuqiang Kong, Haibo Mi, Bo Ding, Dezhi Wang and Huaimin Wang, "General audio tagging with ensembling convolutional neural network and statistical features", The Journal of the Acoustical Society of America.
• Bo Li, Kele Xu*, Dawei Feng, Haibo Mi, Huaimin Wang and Jian Zhu, "Denoising convolutional autoencoder based B-mode ultrasound tongue image feature extraction", IEEE International Conference on Acoustics, Speech, and Signal Processing.
• Chaojie Zhao, Peng Zhang, Jian Zhu, Chengrui Wu, Huaimin Wang and Kele Xu*, "Predicting tongue motion in unlabeled ultrasound videos using convolutional LSTM neural network", IEEE International Conference on Acoustics, Speech, and Signal Processing.
• Kele Xu, "Mixup-Based Data Augmentation for Histopathologic Cancer Detection", Medical Physics.

Before 2019:

• Kele Xu and Jian Zhu, "Articulatory feature extraction from ultrasound images using pretrained convolutional neural networks", The Journal of the Acoustical Society of America .
• Dezhi Wang, Lilun Zhang, Changchun Bao, Kele Xu, Boqing Zhu, Zengquan Lu, "Adaptive beamforming for uniformly-spaced linear hydrophone array using temporal convolutional neural networks", The Journal of the Acoustical Society of America.
• Kele Xu, Dawei Feng, Haibo Mi, Boqing Zhu, Dezhi Wang, Lilun Zhang, Hengxing Cai and Shuwen Liu, "Mixup-Based Acoustic Scene Classification Using Multi-Channel Convolutional Neural Network", Pacific Rim Conference on Multimedia.
• Boqing Zhu, Kele Xu, Dezhi Wang, Lilun Zhang, Bo Li and Yuxing Peng, "Environmental sound classification based on multi-temporal resolution convolutional neural network combining with multi-level features", Pacific Rim Conference on Multimedia.
• Xi Liu and Kele Xu, "Similarity measurement based rest position re-initialization in the MRI vocal tract image sequences", The Journal of the Acoustical Society of America.
• Kele Xu, Pierre Roussel and Bruce Denby, "Is speckle tracking feasible for ultrasound tongue images?", Acta Acustica united with Acustica.
• Bruce Denby, Shicheng Chen, Yifeng Zheng, Kele Xu, Yin Yang, Clemence Leboullenger and Pierre Roussel, "Recent results in silent speech interfaces", The Journal of the Acoustical Society of America.
• Kele Xu, Pierre Roussel, Tamás Gábor Csapó and Bruce Denby, "Convolutional neural network-based automatic classification of midsagittal tongue gestural targets using B-mode ultrasound images", The Journal of the Acoustical Society of America.
• Kele Xu,Hengxing Cai, Xi Liu, Zhifeng Gao and Bingbing Zhang, "North atlantic right whale call detection with very deep convolutional neural networks", The Journal of the Acoustical Society of America.
• Kele Xu, Yin Yang, Maureen Stone, Aurore Jaumard-Hakoun, Clémence Leboullenger, Gérard Dreyfus, Pierre Roussel and Bruce Denby, "Robust contour tracking in ultrasound tongue image sequences", Clinical linguistics & phonetics.
• Kele Xu, Tamás Gábor Csapó, Pierre Roussel and Bruce Denby, "A comparative study on the contour tracking algorithms in ultrasound tongue images with automatic re-initialization", The Journal of the Acoustical Society of America.
• Aurore Jaumard-Hakoun, Kele Xu, Clémence Leboullenger, Pierre Roussel-Ragot and Bruce Denby, "Robust contour tracking in ultrasound tongue image sequences", Conference of the International Speech Communication Association (InterSpeech).
• Kele Xu, Yin Yang, Clémence Leboullenger, Pierre Roussel and Bruce Denby, "Contour-based 3D tongue motion visualization using the ultrasound image sequences", International Conference on Acoustics, Speech, and Signal Processing (ICASSP).
• Kele Xu, Ruixing Wang, Li Zhu, Chang Liu, and Yi Zhao, "Automatic Motion Tracking Reset in Ultrasound Liver Image Sequences", Medical Physics.
• Kele Xu, Yin Yang, Aurore Jaumard-Hakoun, Clémence Leboullenger, Gérard Dreyfus, Pierre Roussel, Maureen Stone and Bruce Denby, "Devolopment of A 3D Tongue Motion Visualization Platform Based on ultrasound tongue image sequences", International Congress of Phonetic Sciences.
• Aurore Jaumard-Hakoun, Kele Xu, Pierre Roussel-Ragot, Gérard Dreyfus, Maureen Stone and Bruce Denby, "Tongue contour extraction from ultrasound images based on deep neural network", International Congress of Phonetic Sciences.
• Kele Xu, Yin Yang, Aurore Jaumard-Hakoun, Martine Adda-Decker, Angélique Amelot, SK Al Kork, Lise Crevier-Buchman, P Chawah, Gérard Dreyfus, Thibaut Fux, Claire Pillot-Loiseau, Pierre Roussel, Maureen Stone and Bruce Denby, "3D tongue motion visualization based on ultrasound image sequences", Conference of the International Speech Communication Association (InterSpeech).
• Patrick Chawah, Samer K Al Kork, Thibaut Fux, Martine Adda-Decker, Angelique Amelot, Nicolas Audibert, Bruce Denby, Gerard Dreyfus, Aurore Jaumard-Hakoun, Claire Pillot-Loiseau, Pierre Roussel, Maureen Stone, Kele Xu and Lise Buchman, "An educational platform to capture, visualize and analyze rare singing", Conference of the International Speech Communication Association (InterSpeech).
• Samer K Al Kork, Aurore Jaumard-Hakoun, Martine Adda-Decker, Angelique Amelot, Lise Buchman, Patrick Chawah, Gerard Dreyfus, Thibaut Fux, Claire Pillot-Loiseau, Pierre Roussel, Maureen Stone, Kele Xu and Bruce Denby, "A Multi-Sensor Helmet to Capture Rare Singing, An Intangible Cultural Heritage Study", International Seminar on Speech Production.
• ...

Other Resources:

• Audio-Inspired Methods for Healthcare-Cyborg and Bionic Systems. [Link]
• IEEE Joint-Cloud Computing (JCC) 2024. [Link]
• The International Workshop on Artificial Intelligence Enhanced Internet of Things-IEEE ICA3PP 2023. [Link]
• Med-NeurIPS 2022. [Link]
• Signal Processing for Data Mining-Data. [Link]
• AutoX Automated Machine Learning Library. [Link]