Haoyi Xiong

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 204

Top Venues

Telecom & Management SudParis, Évry, Essonne, France (PHD)

Education History

Telecom & Management SudParis, Évry, Essonne, France

PHD

Publications

Ruyi Yang, Jingyu Hu, Zihao Li, Jianli Mu, Tingzhao Yu, Jiangjiang Xia, Xuhong Li, Aritra Dasgupta, Haoyi Xiong
Interpretable Machine Learning for Weather and Climate Prediction: A Survey. CoRR (2024)
Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin
P: a generative pre-trained learning to rank model with over-parameterization for web-scale search. Mach. Learn. 113 (8) (2024)
Jiamin Chen, Xuhong Li, Yanwu Xu, Mengnan Du, Haoyi Xiong
Explanations of Classifiers Enhance Medical Image Segmentation via End-to-end Pre-training. CoRR (2024)
Qingzhong Wang, Haifang Li, Haoyi Xiong, Wen Wang, Jiang Bian, Yu Lu, Shuaiqiang Wang, Zhicong Cheng, Dejing Dou, Dawei Yin
A Simple yet Effective Framework for Active Learning to Rank. Mach. Intell. Res. 21 (1) (2024)
Xingjian Li, Di Hu, Xuhong Li, Haoyi Xiong, Cheng-Zhong Xu, Dejing Dou
Towards accurate knowledge transfer via target-awareness representation disentanglement. Mach. Learn. 113 (2) (2024)
Song Zhang, Qingzhong Wang, Junyi Liu, Haoyi Xiong
ALPS: An Auto-Labeling and Pre-training Scheme for Remote Sensing Segmentation With Segment Anything Model. CoRR (2024)
Haoyi Xiong, Zhiyuan Wang, Xuhong Li, Jiang Bian, Zeke Xie, Shahid Mumtaz, Laura E. Barnes
Converging Paradigms: The Synergy of Symbolic and Connectionist AI in LLM-Empowered Autonomous Agents. CoRR (2024)
Haoyi Xiong, Jiang Bian, Yuchen Li, Xuhong Li, Mengnan Du, Shuaiqiang Wang, Dawei Yin, Sumi Helal
When Search Engine Services meet Large Language Models: Visions and Challenges. CoRR (2024)
Siyu Huang, Tianyang Wang, Haoyi Xiong, Bihan Wen, Jun Huan, Dejing Dou
Temporal Output Discrepancy for Loss Estimation-Based Active Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Haoyi Xiong, Xuhong Li, Boyang Yu, Dongrui Wu, Zhanxing Zhu, Dejing Dou
Stochastic gradient descent with random label noises: doubly stochastic models and inference stabilizer. Mach. Learn. Sci. Technol. 5 (1) (2024)
Haoyi Xiong, Xuhong Li, Xiaofei Zhang, Jiamin Chen, Xinhao Sun, Yuchen Li, Zeyi Sun, Mengnan Du
Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective. CoRR (2024)
Xuhong Li, Haoyi Xiong, Xingjian Li, Xiao Zhang, Ji Liu, Haiyan Jiang, Zeyu Chen, Dejing Dou
G-LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint). AAAI (2024)
Zipeng Qi, Lichen Bai, Haoyi Xiong, Zeke Xie
Not All Noises Are Created Equally:Diffusion Noise Selection and Optimization. CoRR (2024)
Jiang Bian, Xuhong Li, Tao Wang, Qingzhong Wang, Jun Huang, Chen Liu, Jun Zhao, Feixiang Lu, Dejing Dou, Haoyi Xiong
ANet: A Large-Scale Benchmark for Dense Action Detection from Table Tennis Match Broadcasting Videos. ACM Trans. Multim. Comput. Commun. Appl. 20 (4) (2024)
Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong
GIaNt: Protein-Ligand Binding Affinity Prediction via Geometry-Aware Interactive Graph Neural Network. IEEE Trans. Knowl. Data Eng. 36 (5) (2024)
Ashkan Farhangi, Jiang Bian, Arthur Huang, Haoyi Xiong, Jun Wang, Zhishan Guo
Correction to: AA-forecast: anomaly-aware forecast for extreme events. Data Min. Knowl. Discov. 38 (2) (2024)
Yuehai Chen, Qingzhong Wang, Jing Yang, Badong Chen, Haoyi Xiong, Shaoyi Du
Learning Discriminative Features for Crowd Counting. IEEE Trans. Image Process. 33 (2024)
Ning Wang, Jiang Bian, Yuchen Li, Xuhong Li, Shahid Mumtaz, Linghe Kong, Haoyi Xiong
Multi-purpose RNA language modelling with motif-aware pretraining and type-guided fine-tuning. Nat. Mac. Intell. 6 (5) (2024)
Yuan Liao, Jiang Bian, Yuhui Yun, Shuo Wang, Yubo Zhang, Jiaming Chu, Tao Wang, Kewei Li, Yuchen Li, Xuhong Li, Shilei Ji, Haoyi Xiong
Towards Automated Data Sciences with Natural Language and SageCopilot: Practices and Lessons Learned. CoRR (2024)
Xingjian Li, Abulikemu Abuduweili, Humphrey Shi, Pengkun Yang, Dejing Dou, Haoyi Xiong, Chengzhong Xu
Semi-supervised transfer learning with hierarchical self-regularization. Pattern Recognit. 144 (2023)
Xingjian Li, Haoyi Xiong, Cheng-Zhong Xu, Dejing Dou
SMILE: Sample-to-feature Mixup for Efficient Transfer Learning. Trans. Mach. Learn. Res. 2023 (2023)
Yuxuan Zhang, Qingzhong Wang, Jiang Bian, Yi Liu, Yanwu Xu, Dejing Dou, Haoyi Xiong
Video4MRI: An Empirical Study on Brain Magnetic Resonance Image Analytics with CNN-Based Video Classification Frameworks. ISBI (2023)
Ashkan Farhangi, Jiang Bian, Arthur Huang, Haoyi Xiong, Jun Wang, Zhishan Guo
AA-forecast: anomaly-aware forecast for extreme events. Data Min. Knowl. Discov. 37 (3) (2023)
Jiang Bian, Haoyi Xiong, Zhiyuan Wang, Jingbo Zhou, Shilei Ji, Hongyang Chen, Daqing Zhang, Dejing Dou
$\mathcal {AFCS}:$AFCS: Aggregation-Free Spatial-Temporal Mobile Community Sensing. IEEE Trans. Mob. Comput. 22 (9) (2023)
Qingrui Jia, Xuhong Li, Lei Yu, Jiang Bian, Penghao Zhao, Shupeng Li, Haoyi Xiong, Dejing Dou
Learning from Training Dynamics: Identifying Mislabeled Data beyond Manually Designed Features. AAAI (2023)
Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin
P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search. DSAA (2023)
Xuhong Li, Xuanyu Wu, Linghe Kong, Xiao Zhang, Siyu Huang, Dejing Dou, Haoyi Xiong
ContRE: A Complementary Measure for Robustness Evaluation of Deep Networks via Contrastive Examples. ICDM (2023)
Haoyi Xiong, Xuhong Li, Boyang Yu, Zhanxing Zhu, Dongrui Wu, Dejing Dou
Doubly Stochastic Models: Learning with Unbiased Label Noises and Inference Stability. CoRR (2023)
Xueying Zhan, Zeyu Dai, Qingzhong Wang, Qing Li, Haoyi Xiong, Dejing Dou, Antoni B. Chan
Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios. Trans. Mach. Learn. Res. 2023 (2023)
Song Zhang, Qingzhong Wang, Jiang Bian, Haoyi Xiong
TiC: Exploring Vision Transformer in Convolution. CoRR (2023)
Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai, Himabindu Lakkaraju, Haoyi Xiong
: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities and Models. NeurIPS (2023)
Fei Wu, Qingzhong Wang, Jiang Bian, Ning Ding, Feixiang Lu, Jun Cheng, Dejing Dou, Haoyi Xiong
A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications. IEEE Trans. Multim. 25 (2023)
Wenke Xia, Xingjian Li, Andong Deng, Haoyi Xiong, Dejing Dou, Di Hu
Robust Cross-Modal Knowledge Distillation for Unconstrained Videos. CoRR (2023)
Nicholas Gray, Megan Moraes, Jiang Bian, Alex Wang, Allen Tian, Kurt M. Wilson, Yan Huang, Haoyi Xiong, Zhishan Guo
GLARE: A Dataset for Traffic Sign Detection in Sun Glare. IEEE Trans. Intell. Transp. Syst. 24 (11) (2023)
Jiamin Chen, Xuhong Li, Junting Xi, Lei Yu, Haoyi Xiong
Rare Codes Count: Mining Inter-code Relations for Long-tail Clinical Text Classification. ClinicalNLP@ACL (2023)
Jindong Han, Hao Liu, Haoyi Xiong, Jing Yang
Semi-Supervised Air Quality Forecasting via Self-Supervised Hierarchical Graph Neural Network. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
En Wang, Mijia Zhang, Wenbin Liu, Haoyi Xiong, Bo Yang, Yongjian Yang, Jie Wu
Outlier-Concerned Data Completion Exploiting Intra- and Inter-Data Correlations in Sparse CrowdSensing. IEEE/ACM Trans. Netw. 31 (2) (2023)
Haoyi Xiong, Jiang Bian, Sijia Yang, Xiaofei Zhang, Linghe Kong, Daqing Zhang
Natural Language based Context Modeling and Reasoning with LLMs: A Tutorial. CoRR (2023)
Yuchen Li, Haoyi Xiong, Linghe Kong, Rui Zhang, Fanqin Xu, Guihai Chen, Minglu Li
MHRR: MOOCs Recommender Service With Meta Hierarchical Reinforced Ranking. IEEE Trans. Serv. Comput. 16 (6) (2023)
Yan Li, Xinjiang Lu, Haoyi Xiong, Jian Tang, Jiantao Su, Bo Jin, Dejing Dou
Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution. CoRR (2023)
Jiang Bian, Jizhou Huang, Shilei Ji, Yuan Liao, Xuhong Li, Qingzhong Wang, Jingbo Zhou, Dejing Dou, Yaqing Wang, Haoyi Xiong
Feynman: Federated Learning-Based Advertising for Ecosystems-Oriented Mobile Apps Recommendation. IEEE Trans. Serv. Comput. 16 (5) (2023)
Yuchen Li, Haoyi Xiong, Linghe Kong, Qingzhong Wang, Shuaiqiang Wang, Guihai Chen, Dawei Yin
phere: Semi-Supervised Pre-training for Web Search over Heterogeneous Learning to Rank Data. KDD (2023)
Ziqi Wen, Qingzhong Wang, Jiang Bian, Xuhong Li, Yi Liu, Haoyi Xiong
Context Matters: Cross-Domain Cell Detection in Histopathology Images via Contextual Regularization. MIUA (2023)
Jiamin Chen, Xuhong Li, Lei Yu, Dejing Dou, Haoyi Xiong
Beyond Intuition: Rethinking Token Attributions inside Transformers. Trans. Mach. Learn. Res. 2023 (2023)
Yuxuan Zhang, Qingzhong Wang, Jiang Bian, Yi Liu, Yanwu Xu, Dejing Dou, Haoyi Xiong
Video4MRI: An Empirical Study on Brain Magnetic Resonance Image Analytics with CNN-based Video Classification Frameworks. CoRR (2023)
Xuhong Li, Haoyi Xiong, Siyu Huang, Shilei Ji, Dejing Dou
Cross-model consensus of explanations and beyond for image classification models: an empirical study. Mach. Learn. 112 (5) (2023)
Yuchen Li, Haoyi Xiong, Linghe Kong, Shuaiqiang Wang, Zeyi Sun, Hongyang Chen, Guihai Chen, Dawei Yin
LtrGCN: Large-Scale Graph Convolutional Networks-Based Learning to Rank for Web Search. ECML/PKDD (6) (2023)
Haoyi Xiong, Xun Zhou, David A. Bennett
Detecting spatiotemporal propagation patterns of traffic congestion from fine-grained vehicle trajectory data. Int. J. Geogr. Inf. Sci. 37 (5) (2023)
Weibin Liao, Xuhong Li, Qingzhong Wang, Yanwu Xu, Zhaozheng Yin, Haoyi Xiong
CUPre: Cross-domain Unsupervised Pre-training for Few-Shot Cell Segmentation. CoRR (2023)
Andong Deng, Xingjian Li, Di Hu, Tianyang Wang, Haoyi Xiong, Cheng-Zhong Xu
Towards Inadequately Pre-trained Models in Transfer Learning. ICCV (2023)
Xuewu Jiao, Weibin Li, Xinxuan Wu, Wei Hu, Miao Li, Jiang Bian, Siming Dai, Xinsheng Luo, Mingqing Hu, Zhengjie Huang, Danlei Feng, Junchao Yang, Shikun Feng, Haoyi Xiong, Dianhai Yu, Shuanglong Li, Jingzhou He, Yanjun Ma, Lin Liu
PGLBox: Multi-GPU Graph Learning Framework for Web-Scale Recommendation. KDD (2023)
Yuchen Li, Haoyi Xiong, Qingzhong Wang, Linghe Kong, Hao Liu, Haifang Li, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dejing Dou, Dawei Yin
COLTR: Semi-Supervised Learning to Rank With Co-Training and Over-Parameterization for Web Search. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Ji Liu, Lei Mo, Sijia Yang, Jingbo Zhou, Shilei Ji, Haoyi Xiong, Dejing Dou
Data Placement for Multi-Tenant Data Federation on the Cloud. IEEE Trans. Cloud Comput. 11 (2) (2023)
Weibin Liao, Haoyi Xiong, Qingzhong Wang, Yan Mo, Xuhong Li, Yi Liu, Zeyu Chen, Siyu Huang, Dejing Dou
MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-ray Images of Multiple Body Parts. CoRR (2023)
Xuhong Li, Haoyi Xiong, Xingjian Li, Xiao Zhang, Ji Liu, Haiyan Jiang, Zeyu Chen, Dejing Dou
G-LIME: Statistical learning for local interpretations of deep neural networks using global priors. Artif. Intell. 314 (2023)
Jianqiu Wu, Hongyang Chen, Minhao Cheng, Haoyi Xiong
CurvAGN: Curvature-based Adaptive Graph Neural Networks for Predicting Protein-Ligand Binding Affinity. BMC Bioinform. 24 (1) (2023)
Xuhong Li, Haoyi Xiong, Yi Liu, Dingfu Zhou, Zeyu Chen, Yaqing Wang, Dejing Dou
Distilling ensemble of explanations for weakly-supervised pre-training of image segmentation models. Mach. Learn. 112 (6) (2023)
Junde Wu, Rao Fu, Huihui Fang, Yu Zhang, Yehui Yang, Haoyi Xiong, Huiying Liu, Yanwu Xu
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model. MIDL (2023)
Zeren Zhang, Xingjian Li, Tao Hong, Tianyang Wang, Jinwen Ma, Haoyi Xiong, Cheng-Zhong Xu
Overcoming Catastrophic Forgetting for Fine-Tuning Pre-trained GANs. ECML/PKDD (5) (2023)
Yuchen Li, Haoyi Xiong, Linghe Kong, Zeyi Sun, Hongyang Chen, Shuaiqiang Wang, Dawei Yin
MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale. ICDM (2023)
Yan Li, Xinjiang Lu, Haoyi Xiong, Jian Tang, Jiantao Su, Bo Jin, Dejing Dou
Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution. ICDE (2023)
Zhiyuan Wang, Haoyi Xiong, Jie Zhang, Sijia Yang, Mehdi Boukhechba, Daqing Zhang, Laura E. Barnes, Dejing Dou
From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques. IEEE Internet Things J. 9 (17) (2022)
Ashkan Farhangi, Jiang Bian, Arthur Huang, Haoyi Xiong, Jun Wang, Zhishan Guo
AA-Forecast: Anomaly-Aware Forecast for Extreme Events. CoRR (2022)
Weibin Liao, Haoyi Xiong, Qingzhong Wang, Yan Mo, Xuhong Li, Yi Liu, Zeyu Chen, Siyu Huang, Dejing Dou
MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-Ray Images of Multiple Body Parts. MICCAI (8) (2022)
Junde Wu, Huihui Fang, Yehui Yang, Yu Zhang, Haoyi Xiong, Huazhu Fu, Yanwu Xu
ExpNet: A unified network for Expert-Level Classification. CoRR (2022)
Jie Zhang, Yang Li, Haoyi Xiong, Dejing Dou, Chunyan Miao, Daqing Zhang
HandGest: Hierarchical Sensing for Robust-in-the-Air Handwriting Recognition With Commodity WiFi Devices. IEEE Internet Things J. 9 (19) (2022)
Yuying Hao, Yi Liu, Juncai Peng, Haoyi Xiong, Guowei Chen, Shiyu Tang, Zeyu Chen, Baohua Lai
RAIS: Robust and Accurate Interactive Segmentation via Continual Learning. CoRR (2022)
Qingzhong Wang, Haifang Li, Haoyi Xiong, Wen Wang, Jiang Bian, Yu Lu, Shuaiqiang Wang, Zhicong Cheng, Jingbo Zhou, Dawei Yin, Dejing Dou
Practical Strategies of Active Learning to Rank for Web Search. CoRR (2022)
Xueying Zhan, Ze-yu Dai, Qingzhong Wang, Qing Li, Haoyi Xiong, Dejing Dou, Antoni B. Chan
Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios. CoRR (2022)
Haoran Liu, Haoyi Xiong, Yaqing Wang, Haozhe An, Dejing Dou, Dongrui Wu
Exploring the common principal subspace of deep features in neural networks. Mach. Learn. 111 (3) (2022)
Yihang Yin, Qingzhong Wang, Siyu Huang, Haoyi Xiong, Xiang Zhang
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators. AAAI (2022)
Sudharsan Vaidhun, Zhishan Guo, Jiang Bian, Haoyi Xiong, Sajal K. Das
Dynamic Path Planning for Unmanned Aerial Vehicles Under Deadline and Sector Capacity Constraints. IEEE Trans. Emerg. Top. Comput. Intell. 6 (4) (2022)
Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Zeyu Chen, Dejing Dou
InterpretDL: Explaining Deep Models in PaddlePaddle. J. Mach. Learn. Res. 23 (2022)
Xingjian Li, Haoyi Xiong, Haozhe An, Cheng-Zhong Xu, Dejing Dou
COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization. Neural Process. Lett. 54 (6) (2022)
Fei Wu, Qingzhong Wang, Jian Bian, Haoyi Xiong, Ning Ding, Feixiang Lu, Jun Cheng, Dejing Dou
A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications. CoRR (2022)
Xueying Zhan, Qingzhong Wang, Kuan-Hao Huang, Haoyi Xiong, Dejing Dou, Antoni B. Chan
A Comparative Survey of Deep Active Learning. CoRR (2022)
Haoyi Xiong, Ruosi Wan, Jian Zhao, Zeyu Chen, Xingjian Li, Zhanxing Zhu, Jun Huan
GrOD: Deep Learning with Gradients Orthogonal Decomposition for Knowledge Transfer, Distillation, and Adversarial Training. ACM Trans. Knowl. Discov. Data 16 (6) (2022)
Ji Liu, Jizhou Huang, Yang Zhou, Xuhong Li, Shilei Ji, Haoyi Xiong, Dejing Dou
From distributed machine learning to federated learning: a survey. Knowl. Inf. Syst. 64 (4) (2022)
Yaqing Wang, Xin Tian, Haoyi Xiong, Yueyang Li, Zeyu Chen, Sheng Guo, Dejing Dou
RGL: A Simple yet Effective Relation Graph Augmented Prompt-based Tuning Approach for Few-Shot Learning. NAACL-HLT (Findings) (2022)
Siyu Huang, Tianyang Wang, Haoyi Xiong, Bihan Wen, Jun Huan, Dejing Dou
Temporal Output Discrepancy for Loss Estimation-based Active Learning. CoRR (2022)
Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Xiao Zhang, Ji Liu, Jiang Bian, Dejing Dou
Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond. Knowl. Inf. Syst. 64 (12) (2022)
Xuhong Li, Haoyi Xiong, Yi Liu, Dingfu Zhou, Zeyu Chen, Yaqing Wang, Dejing Dou
Distilling Ensemble of Explanations for Weakly-Supervised Pre-Training of Image Segmentation Models. CoRR (2022)
Xingjian Li, Haoyi Xiong, Zeyu Chen, Jun Huan, Ji Liu, Cheng-Zhong Xu, Dejing Dou
Knowledge Distillation with Attention for Deep Transfer Learning of Convolutional Networks. ACM Trans. Knowl. Discov. Data 16 (3) (2022)
Jiang Bian, Qingzhong Wang, Haoyi Xiong, Jun Huang, Chen Liu, Xuhong Li, Jun Cheng, Jun Zhao, Feixiang Lu, Dejing Dou
A: A Dataset and Benchmark for Dense Action Detection from Table Tennis Match Broadcasting Videos. CoRR (2022)
Yuchen Li, Haoyi Xiong, Linghe Kong, Rui Zhang, Dejing Dou, Guihai Chen
Meta Hierarchical Reinforced Learning to Rank for Recommendation: A Comprehensive Study in MOOCs. ECML/PKDD (6) (2022)
Siyu Huang, Haoyi Xiong, Tianyang Wang, Bihan Wen, Qingzhong Wang, Zeyu Chen, Jun Huan, Dejing Dou
Parameter-Free Style Projection for Arbitrary Image Style Transfer. ICASSP (2022)
Qingzhong Wang, Pengfei Zhang, Haoyi Xiong, Jian Zhao
Face.evoLVe: A cross-platform library for high-performance face analytics. Neurocomputing 494 (2022)
En Wang, Mijia Zhang, Yuanbo Xu, Haoyi Xiong, Yongjian Yang
Spatiotemporal Fracture Data Inference in Sparse Urban CrowdSensing. INFOCOM (2022)
Lutao Chu, Yi Liu, Zewu Wu, Shiyu Tang, Guowei Chen, Yuying Hao, Juncai Peng, Zhiliang Yu, Zeyu Chen, Baohua Lai, Haoyi Xiong
PP-HumanSeg: Connectivity-Aware Portrait Segmentation with a Large-Scale Teleconferencing Video Dataset. WACV (Workshops) (2022)
Sijia Yang, Haoyi Xiong, Yunchao Zhang, Yi Ling, Licheng Wang, Kaibo Xu, Zeyi Sun
OGM: Online gaussian graphical models on the fly. Appl. Intell. 52 (3) (2022)
Liang Shen, Zhihua Wu, Weibao Gong, Hongxiang Hao, Yangfan Bai, HuaChao Wu, Xinxuan Wu, Haoyi Xiong, Dianhai Yu, Yanjun Ma
SE-MoE: A Scalable and Efficient Mixture-of-Experts Distributed Training and Inference System. CoRR (2022)
Qingrui Jia, Xuhong Li, Lei Yu, Jiang Bian, Penghao Zhao, Shupeng Li, Haoyi Xiong, Dejing Dou
Learning from Training Dynamics: Identifying Mislabeled Data Beyond Manually Designed Features. CoRR (2022)
Jiang Bian, Abdullah Al Arafat, Haoyi Xiong, Jing Li, Li Li, Hongyang Chen, Jun Wang, Dejing Dou, Zhishan Guo
Machine Learning in Real-Time Internet of Things (IoT) Systems: A Survey. IEEE Internet Things J. 9 (11) (2022)
Nicholas Gray, Megan Moraes, Jiang Bian, Allen Tian, Alex Wang, Haoyi Xiong, Zhishan Guo
GLARE: A Dataset for Traffic Sign Detection in Sun Glare. CoRR (2022)
Fan Wang, Hao Tian, Haoyi Xiong, Hua Wu, Jie Fu, Yang Cao, Yu Kang, Haifeng Wang
Evolving Decomposed Plasticity Rules for Information-Bottlenecked Meta-Learning. Trans. Mach. Learn. Res. 2022 (2022)
Haoran Liu, Haoyi Xiong, Yaqing Wang, Haozhe An, Dongrui Wu, Dejing Dou
Exploring the Common Principal Subspace of Deep Features in Neural Networks. CoRR (2021)
Xiao Zhang, Haoyi Xiong, Dongrui Wu
Rethink the Connections among Generalization, Memorization, and the Spectral Bias of DNNs. IJCAI (2021)
Yihang Yin, Qingzhong Wang, Siyu Huang, Haoyi Xiong, Xiang Zhang
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators. CoRR (2021)
Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Xiao Zhang, Ji Liu, Jiang Bian, Dejing Dou
Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond. CoRR (2021)
Baoxin Zhao, Haoyi Xiong, Jiang Bian, Zhishan Guo, Cheng-Zhong Xu, Dejing Dou
COMO: Efficient Deep Neural Networks Expansion With COnvolutional MaxOut. IEEE Trans. Multim. 23 (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Haoyi Xiong