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ORCIDDejing Dou
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- affiliation: University of Oregon, Eugene, USA
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2020 – today
- 2023
[j57]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: 103823 (2023)- [j56]Ji Liu, Xuehai Zhou, Lei Mo, Shilei Ji, Yuan Liao, Zheng Li, Qin Gu, Dejing Dou:
Distributed and deep vertical federated learning with big data. Concurr. Comput. Pract. Exp. 35(21) (2023) - [j55]Ji Liu, Daxiang Dong, Xi Wang, An Qin, Xingjian Li, Patrick Valduriez, Dejing Dou, Dianhai Yu:
Large-scale knowledge distillation with elastic heterogeneous computing resources. Concurr. Comput. Pract. Exp. 35(26) (2023) - [j54]Ji Liu, Zhihua Wu, Danlei Feng, Minxu Zhang, Xinxuan Wu, Xuefeng Yao, Dianhai Yu, Yanjun Ma, Feng Zhao, Dejing Dou:
HeterPS: Distributed deep learning with reinforcement learning based scheduling in heterogeneous environments. Future Gener. Comput. Syst. 148: 106-117 (2023) - [j53]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): 1627-1662 (2023) - [j52]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): 2193-2209 (2023) - [j51]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: 109831 (2023) - [j50]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): 1414-1429 (2023) - [j49]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): 12542-12555 (2023) - [j48]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): 5017-5034 (2023) - [j47]Jiamin Chen, Xuhong Li, Lei Yu, Dejing Dou, Haoyi Xiong:
Beyond Intuition: Rethinking Token Attributions inside Transformers. Trans. Mach. Learn. Res. 2023 (2023) - [j46]Xingjian Li, Haoyi Xiong, Cheng-Zhong Xu, Dejing Dou:
SMILE: Sample-to-feature Mixup for Efficient Transfer Learning. Trans. Mach. Learn. Res. 2023 (2023) - [j45]Ji Liu, Juncheng Jia, Beichen Ma, Chendi Zhou, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou:
Multi-Job Intelligent Scheduling With Cross-Device Federated Learning. IEEE Trans. Parallel Distributed Syst. 34(2): 535-551 (2023) - [j44]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): 3361-3372 (2023) - [c165]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: 8041-8049 - [c164]Miaoyu Li, Ji Liu, Ying Fu, Yulun Zhang, Dejing Dou:
Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising. CVPR 2023: 5805-5814 - [c163]Jicun Li, Xingjian Li, Tianyang Wang, Shi Wang, Yanan Cao, Cheng-Zhong Xu, Dejing Dou:
Improving Bert Fine-Tuning via Stabilizing Cross-Layer Mutual Information. ICASSP 2023: 1-5 - [c162]Congxi Xiao, Jingbo Zhou, Jizhou Huang, Hengshu Zhu, Tong Xu, Dejing Dou, Hui Xiong:
A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detection. ICDE 2023: 736-748 - [c161]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: 1611-1624 - [c160]Derong Xu, Jingbo Zhou, Tong Xu, Yuan Xia, Ji Liu, Enhong Chen, Dejing Dou:
Multimodal Biological Knowledge Graph Completion via Triple Co-Attention Mechanism. ICDE 2023: 3928-3941 - [c159]Tianshi Che, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Ji Liu, Da Yan, Dejing Dou, Jun Huan:
Fast Federated Machine Unlearning with Nonlinear Functional Theory. ICML 2023: 4241-4268 - [c158]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: 1-5 - [c157]Shuokai Li, Jingbo Zhou, Jizhou Huang, Hao Chen, Fuzhen Zhuang, Qing He, Dejing Dou:
Matching Point of Interests and Travel Blog with Multi-view Information Fusion. SIGIR 2023: 2149-2153 - [c156]Shiguang Wu, Yaqing Wang, Qinghe Jing, Daxiang Dong, Dejing Dou, Quanming Yao:
ColdNAS: Search to Modulate for User Cold-Start Recommendation. WWW 2023: 1021-1031 - [i100]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 abs/2301.02068 (2023) - [i99]Miao Chen, Xinjiang Lu, Tong Xu, Yanyan Li, Jingbo Zhou, Dejing Dou, Hui Xiong:
Towards Table-to-Text Generation with Pretrained Language Model: A Table Structure Understanding and Text Deliberating Approach. CoRR abs/2301.02071 (2023) - [i98]Yan Li, Xinjiang Lu, Yaqing Wang, Dejing Dou:
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement. CoRR abs/2301.03028 (2023) - [i97]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 abs/2302.12688 (2023) - [i96]Ji Liu, Xuehai Zhou, Lei Mo, Shilei Ji, Yuan Liao, Zheng Li, Qin Gu, Dejing Dou:
Distributed and Deep Vertical Federated Learning with Big Data. CoRR abs/2303.04574 (2023) - [i95]Haoyi Xiong, Xuhong Li, Boyang Yu, Zhanxing Zhu, Dongrui Wu, Dejing Dou:
Doubly Stochastic Models: Learning with Unbiased Label Noises and Inference Stability. CoRR abs/2304.00320 (2023) - [i94]Miaoyu Li, Ji Liu, Ying Fu, Yulun Zhang, Dejing Dou:
Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising. CoRR abs/2304.00844 (2023) - [i93]Wenke Xia, Xingjian Li, Andong Deng, Haoyi Xiong, Dejing Dou, Di Hu:
Robust Cross-Modal Knowledge Distillation for Unconstrained Videos. CoRR abs/2304.07775 (2023) - [i92]Shiguang Wu, Yaqing Wang, Qinghe Jing, Daxiang Dong, Dejing Dou, Quanming Yao:
ColdNAS: Search to Modulate for User Cold-Start Recommendation. CoRR abs/2306.03387 (2023) - [i91]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 abs/2310.02000 (2023) - [i90]Tianshi Che, Ji Liu, Yang Zhou, Jiaxiang Ren, Jiwen Zhou, Victor S. Sheng, Huaiyu Dai, Dejing Dou:
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization. CoRR abs/2310.15080 (2023) - 2022
- [j43]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): 8364-8386 (2022) - [j42]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): 15413-15434 (2022) - [j41]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): 19529-19544 (2022) - [j40]Shahid Hussain, Pamela Hussey, Dejing Dou:
Preface: COVID 19: From Misinformation to Knowledge Discovery. J. Inf. Knowl. Manag. 21(Supplement-1): 2202001:1-2202001:2 (2022) - [j39]Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Zeyu Chen, Dejing Dou:
InterpretDL: Explaining Deep Models in PaddlePaddle. J. Mach. Learn. Res. 23: 197:1-197:6 (2022) - [j38]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): 885-917 (2022) - [j37]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): 3197-3234 (2022) - [j36]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): 1125-1157 (2022) - [j35]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): 4735-4749 (2022) - [j34]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): 42:1-42:20 (2022) - [j33]Yang Zhou, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Jingyi Zheng, Zhe Jiang, Da Yan, Dejing Dou:
Unsupervised Adversarial Network Alignment with Reinforcement Learning. ACM Trans. Knowl. Discov. Data 16(3): 50:1-50:29 (2022) - [j32]Hao Liu, Qingyu Guo, Hengshu Zhu, Fuzhen Zhuang, Shenwen Yang, Dejing Dou, Hui Xiong:
Who will Win the Data Science Competition? Insights from KDD Cup 2019 and Beyond. ACM Trans. Knowl. Discov. Data 16(5): 98:1-98:24 (2022) - [c155]Shuangli Li, Jingbo Zhou, Tong Xu, Dejing Dou, Hui Xiong:
GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction. AAAI 2022: 4541-4549 - [c154]Chendi Zhou, Ji Liu, Juncheng Jia, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou:
Efficient Device Scheduling with Multi-Job Federated Learning. AAAI 2022: 9971-9979 - [c153]Qiuhao Lu, Dejing Dou, Thien Huu Nguyen:
ClinicalT5: A Generative Language Model for Clinical Text. EMNLP (Findings) 2022: 5436-5443 - [c152]Miao Chen, Xinjiang Lu, Tong Xu, Yanyan Li, Jingbo Zhou, Dejing Dou, Hui Xiong:
Towards Table-to-Text Generation with Pretrained Language Model: A Table Structure Understanding and Text Deliberating Approach. EMNLP 2022: 8199-8210 - [c151]Kaixin Zheng, Yaqing Wang, Quanming Yao, Dejing Dou:
Simplified Graph Learning for Inductive Short Text Classification. EMNLP 2022: 10717-10724 - [c150]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: 2070-2074 - [c149]Tianshi Che, Zijie Zhang, Yang Zhou, Xin Zhao, Ji Liu, Zhe Jiang, Da Yan, Ruoming Jin, Dejing Dou:
Federated Fingerprint Learning with Heterogeneous Architectures. ICDM 2022: 31-40 - [c148]Jiayin Jin, Jiaxiang Ren, Yang Zhou, Lingjuan Lyu, Ji Liu, Dejing Dou:
Accelerated Federated Learning with Decoupled Adaptive Optimization. ICML 2022: 10298-10322 - [c147]Guanghao Li, Yue Hu, Miao Zhang, Ji Liu, Quanjun Yin, Yong Peng, Dejing Dou:
FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity. ICPP 2022: 8:1-8:11 - [c146]Hong Zhang, Ji Liu, Juncheng Jia, Yang Zhou, Huaiyu Dai, Dejing Dou:
FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server. IJCAI 2022: 2776-2782 - [c145]Linlang Jiang, Jingbo Zhou, Tong Xu, Yanyan Li, Hao Chen, Dejing Dou:
Time-aware Neural Trip Planning Reinforced by Human Mobility. IJCNN 2022: 1-8 - [c144]Yi Gu, Hongzhi Cheng, Kafeng Wang, Dejing Dou, Chengzhong Xu, Hui Kong:
Learning Moving-Object Tracking with FMCW LiDAR. IROS 2022: 3747-3753 - [c143]Zhikai Wang, Wenfei Hu, Jingbo Zhou, Wenyuan Zhang, Ruitao Wang, Jian Zhang, Dejing Dou, Zuochang Ye, Yan Wang:
Building Post-layout Performance Model of Analog/RF Circuits by Fine-tuning Technique. ISQED 2022: 1-6 - [c142]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: 151-161 - [c141]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: 1078-1084 - [c140]Yan Li, Xinjiang Lu, Yaqing Wang, Dejing Dou:
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement. NeurIPS 2022 - [c139]Yifan Zhang, Haiyan Jiang, Haojie Ren, Changliang Zou, Dejing Dou:
AutoMS: Automatic Model Selection for Novelty Detection with Error Rate Control. NeurIPS 2022 - [c138]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: 302-317 - [c137]Yaqing Wang, Song Wang, Yanyan Li, Dejing Dou:
Recognizing Medical Search Query Intent by Few-shot Learning. SIGIR 2022: 502-512 - [c136]Haoran Xin, Xinjiang Lu, Nengjun Zhu, Tong Xu, Dejing Dou, Hui Xiong:
CAPTOR: A Crowd-Aware Pre-Travel Recommender System for Out-of-Town Users. SIGIR 2022: 1174-1184 - [i89]Qiuhao Lu, Thien Huu Nguyen, Dejing Dou:
Predicting Patient Readmission Risk from Medical Text via Knowledge Graph Enhanced Multiview Graph Convolution. CoRR abs/2201.02510 (2022) - [i88]Yi Gu, Hongzhi Cheng, Kafeng Wang, Dejing Dou, Chengzhong Xu, Hui Kong:
Learning Moving-Object Tracking with FMCW LiDAR. CoRR abs/2203.00959 (2022) - [i87]Andong Deng, Xingjian Li, Zhibing Li, Di Hu, Chengzhong Xu, Dejing Dou:
Inadequately Pre-trained Models are Better Feature Extractors. CoRR abs/2203.04668 (2022) - [i86]Xueying Zhan, Qingzhong Wang, Kuan-Hao Huang, Haoyi Xiong, Dejing Dou, Antoni B. Chan:
A Comparative Survey of Deep Active Learning. CoRR abs/2203.13450 (2022) - [i85]Can Chen, Jingbo Zhou, Fan Wang, Xue Liu, Dejing Dou:
Structure-aware Protein Self-supervised Learning. CoRR abs/2204.04213 (2022) - [i84]Hong Zhang, Ji Liu, Juncheng Jia, Yang Zhou, Huaiyu Dai, Dejing Dou:
FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server. CoRR abs/2204.11536 (2022) - [i83]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 abs/2205.10137 (2022) - [i82]Xingjian Li, Pengkun Yang, Tianyang Wang, Xueying Zhan, Min Xu, Dejing Dou, Chengzhong Xu:
Deep Active Learning with Noise Stability. CoRR abs/2205.13340 (2022) - [i81]Xiao Zhang, Dejing Dou, Ji Wu:
Feature Forgetting in Continual Representation Learning. CoRR abs/2205.13359 (2022) - [i80]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 abs/2206.01038 (2022) - [i79]Hang Hua, Xingjian Li, Dejing Dou, Cheng-Zhong Xu, Jiebo Luo:
Fine-tuning Pre-trained Language Models with Noise Stability Regularization. CoRR abs/2206.05658 (2022) - [i78]Guanghao Li, Yue Hu, Miao Zhang, Ji Liu, Quanjun Yin, Yong Peng, Dejing Dou:
FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity. CoRR abs/2206.10546 (2022) - [i77]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 abs/2207.01190 (2022) - [i76]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 abs/2207.03335 (2022) - [i75]Ji Liu, Daxiang Dong, Xi Wang, An Qin, Xingjian Li, Patrick Valduriez, Dejing Dou, Dianhai Yu:
Large-scale Knowledge Distillation with Elastic Heterogeneous Computing Resources. CoRR abs/2207.06667 (2022) - [i74]Jiayin Jin, Jiaxiang Ren, Yang Zhou, Lingjuan Lyu, Ji Liu, Dejing Dou:
Accelerated Federated Learning with Decoupled Adaptive Optimization. CoRR abs/2207.07223 (2022) - [i73]Jiang Bian, Qingzhong Wang, Haoyi Xiong, Jun Huang, Chen Liu, Xuhong Li, Jun Cheng, Jun Zhao, Feixiang Lu, Dejing Dou:
P2A: A Dataset and Benchmark for Dense Action Detection from Table Tennis Match Broadcasting Videos. CoRR abs/2207.12730 (2022) - [i72]Jingbo Zhou, Xinjiang Lu, Yixiong Xiao, Jiantao Su, Junfu Lyu, Yanjun Ma, Dejing Dou:
SDWPF: A Dataset for Spatial Dynamic Wind Power Forecasting Challenge at KDD Cup 2022. CoRR abs/2208.04360 (2022) - [i71]Qiuhao Lu, Dejing Dou, Thien Huu Nguyen:
Textual Data Augmentation for Patient Outcomes Prediction. CoRR abs/2211.06778 (2022) - [i70]Ji Liu, Juncheng Jia, Beichen Ma, Chendi Zhou, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou:
Multi-Job Intelligent Scheduling with Cross-Device Federated Learning. CoRR abs/2211.13430 (2022) - [i69]Congxi Xiao, Jingbo Zhou, Jizhou Huang, Hengshu Zhu, Tong Xu, Dejing Dou, Hui Xiong:
A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detection. CoRR abs/2211.14633 (2022) - [i68]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 abs/2212.09321 (2022) - [i67]Siyu Huang, Tianyang Wang, Haoyi Xiong, Bihan Wen, Jun Huan, Dejing Dou:
Temporal Output Discrepancy for Loss Estimation-based Active Learning. CoRR abs/2212.10613 (2022) - 2021
- [j31]Xingjian Li, Dou Goodman, Ji Liu, Tao Wei, Dejing Dou:
Improving Adversarial Robustness via Attention and Adversarial Logit Pairing. Frontiers Artif. Intell. 4: 752831 (2021) - [j30]Kafeng Wang, Haoyi Xiong, Jie Zhang, Hongyang Chen, Dejing Dou, Cheng-Zhong Xu:
SenseMag: Enabling Low-Cost Traffic Monitoring Using Noninvasive Magnetic Sensing. IEEE Internet Things J. 8(22): 16666-16679 (2021) - [j29]Haiyan Jiang, Haoyi Xiong, Dongrui Wu, Ji Liu, Dejing Dou:
AgFlow: fast model selection of penalized PCA via implicit regularization effects of gradient flow. Mach. Learn. 110(8): 2131-2150 (2021) - [j28]Adam Noack, Isaac Ahern, Dejing Dou, Boyang Li:
An Empirical Study on the Relation Between Network Interpretability and Adversarial Robustness. SN Comput. Sci. 2(1): 32 (2021) - [j27]Xingjian Li, Haoyi Xiong, Zeyu Chen, Jun Huan, Cheng-Zhong Xu, Dejing Dou:
"In-Network Ensemble": Deep Ensemble Learning with Diversified Knowledge Distillation. ACM Trans. Intell. Syst. Technol. 12(5): 63:1-63:19 (2021) - [j26]Kafeng Wang, Haoyi Xiong, Jiang Bian, Zhanxing Zhu, Qian Gao, Zhishan Guo, Cheng-Zhong Xu, Jun Huan, Dejing Dou:
Sampling Sparse Representations with Randomized Measurement Langevin Dynamics. ACM Trans. Knowl. Discov. Data 15(2): 21:1-21:21 (2021) - [j25]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: 1722-1730 (2021) - [c135]Hao Liu, Qiyu Wu, Fuzhen Zhuang, Xinjiang Lu, Dejing Dou, Hui Xiong:
Community-Aware Multi-Task Transportation Demand Prediction. AAAI 2021: 320-327 - [c134]Dong Wang, Di Hu, Xingjian Li, Dejing Dou:
Temporal Relational Modeling with Self-Supervision for Action Segmentation. AAAI 2021: 2729-2737 - [c133]Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong, Dejing Dou:
Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks. AAAI 2021: 4081-4089 - [c132]Haoran Xin, Xinjiang Lu, Tong Xu, Hao Liu, Jingjing Gu, Dejing Dou, Hui Xiong:
Out-of-Town Recommendation with Travel Intention Modeling. AAAI 2021: 4529-4536 - [c131]Congxi Xiao, Jingbo Zhou, Jizhou Huang, An Zhuo, Ji Liu, Haoyi Xiong, Dejing Dou:
C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak. AAAI 2021: 4892-4900 - [c130]Qiuhao Lu, Dejing Dou, Thien Huu Nguyen:
Textual Data Augmentation for Patient Outcomes Prediction. BIBM 2021: 2817-2821 - [c129]Chao Zhang, Jingbo Zhou, Xiaoling Zang, Qing Xu, Liang Yin, Xiang He, Lin Liu, Haoyi Xiong, Dejing Dou:
CHASE: Commonsense-Enriched Advertising on Search Engine with Explicit Knowledge. CIKM 2021: 4352-4361 - [c128]NhatHai Phan, David Kil, Brigitte Piniewski, Dejing Dou:
Social and Motivational Factors for the Spread of Physical Activities in a Health Social Network. CSoNet 2021: 184-196 - [c127]Jie An, Siyu Huang, Yibing Song, Dejing Dou, Wei Liu, Jiebo Luo:
ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows. CVPR 2021: 862-871 - [c126]