Dejing Dou

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 283

Top Venues

Publications

Ji Liu, Chunlu Chen, Yu Li, Lin Sun, Yulun Song, Jingbo Zhou, Bo Jing, Dejing Dou
Enhancing trust and privacy in distributed networks: a comprehensive survey on blockchain-based federated learning. Knowl. Inf. Syst. 66 (8) (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)
Can Chen, Hao Liu, Zeming Liu, Xue Liu, Dejing Dou
Dual-space Hierarchical Learning for Goal-guided Conversational Recommendation. Neurocomputing 574 (2024)
Can Chen, Hao Liu, Zeming Liu, Xue Liu, Dejing Dou
Dual-space Hierarchical Learning for Goal-guided Conversational Recommendation. CoRR (2024)
Juncheng Jia, Ji Liu, Chendi Zhou, Hao Tian, Mianxiong Dong, Dejing Dou
Efficient asynchronous federated learning with sparsification and quantization. Concurr. Comput. Pract. Exp. 36 (9) (2024)
Ji Liu, Tianshi Che, Yang Zhou, Ruoming Jin, Huaiyu Dai, Dejing Dou, Patrick Valduriez
AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices. SDM (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)
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)
Ji Liu, Chunlu Chen, Yu Li, Lin Sun, Yulun Song, Jingbo Zhou, Bo Jing, Dejing Dou
Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning. CoRR (2024)
Ji Liu, Juncheng Jia, Tianshi Che, Chao Huo, Jiaxiang Ren, Yang Zhou, Huaiyu Dai, Dejing Dou
FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update. AAAI (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)
Quanming Yao, Zhenqian Shen, Yaqing Wang, Dejing Dou
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 46 (8) (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)
Qilong Li, Ji Liu, Yifan Sun, Chongsheng Zhang, Dejing Dou
On mask-based image set desensitization with recognition support. Appl. Intell. 54 (1) (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)
Can (sam) Chen, Jingbo Zhou, Fan Wang, Xue (Steve) Liu, Dejing Dou
Structure-aware protein self-supervised learning. Bioinform. 39 (4) (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)
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)
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)
Ji Liu, Juncheng Jia, Tianshi Che, Chao Huo, Jiaxiang Ren, Yang Zhou, Huaiyu Dai, Dejing Dou
FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-aware Model Update. CoRR (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)
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)
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)
Miaoyu Li, Ji Liu, Ying Fu, Yulun Zhang, Dejing Dou
Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising. CoRR (2023)
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 (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)
Qilong Li, Ji Liu, Yifan Sun, Chongsheng Zhang, Dejing Dou
On Mask-based Image Set Desensitization with Recognition Support. CoRR (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)
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)
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 (2023)
Miaoyu Li, Ji Liu, Ying Fu, Yulun Zhang, Dejing Dou
Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising. CVPR (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)
Jiamin Chen, Xuhong Li, Lei Yu, Dejing Dou, Haoyi Xiong
Beyond Intuition: Rethinking Token Attributions inside Transformers. Trans. Mach. Learn. Res. 2023 (2023)
Shiguang Wu, Yaqing Wang, Qinghe Jing, Daxiang Dong, Dejing Dou, Quanming Yao
ColdNAS: Search to Modulate for User Cold-Start Recommendation. CoRR (2023)
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. EMNLP (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)
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 (2023)
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 (2023)
Juncheng Jia, Ji Liu, Chendi Zhou, Hao Tian, Mianxiong Dong, Dejing Dou
Efficient Asynchronous Federated Learning with Sparsification and Quantization. CoRR (2023)
Ji Liu, Tianshi Che, Yang Zhou, Ruoming Jin, Huaiyu Dai, Dejing Dou, Patrick Valduriez
AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices. CoRR (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)
Shiguang Wu, Yaqing Wang, Qinghe Jing, Daxiang Dong, Dejing Dou, Quanming Yao
ColdNAS: Search to Modulate for User Cold-Start Recommendation. WWW (2023)
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)
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)
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)
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)
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) (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)
Yan Li, Xinjiang Lu, Yaqing Wang, Dejing Dou
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement. CoRR (2023)
Wen Huang, Jingbo Zhou, Xintao Wu, Dejing Dou
Mitigating Confounding and Selection Biases in Personalized Recommendation: A Causal Approach. BigData (2023)
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)
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)
Hang Hua, Xingjian Li, Dejing Dou, Cheng-Zhong Xu, Jiebo Luo
Fine-tuning Pre-trained Language Models with Noise Stability Regularization. CoRR (2022)
Qiuhao Lu, Thien Huu Nguyen, Dejing Dou
Predicting Patient Readmission Risk from Medical Text via Knowledge Graph Enhanced Multiview Graph Convolution. CoRR (2022)
Jiayin Jin, Jiaxiang Ren, Yang Zhou, Lingjuan Lyu, Ji Liu, Dejing Dou
Accelerated Federated Learning with Decoupled Adaptive Optimization. CoRR (2022)
Chendi Zhou, Ji Liu, Juncheng Jia, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou
Efficient Device Scheduling with Multi-Job Federated Learning. AAAI (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)
Jiayin Jin, Jiaxiang Ren, Yang Zhou, Lingjuan Lyu, Ji Liu, Dejing Dou
Accelerated Federated Learning with Decoupled Adaptive Optimization. ICML (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)
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)
Andong Deng, Xingjian Li, Zhibing Li, Di Hu, Chengzhong Xu, Dejing Dou
Inadequately Pre-trained Models are Better Feature Extractors. CoRR (2022)
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 (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)
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 (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)
Shuangli Li, Jingbo Zhou, Tong Xu, Dejing Dou, Hui Xiong
GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction. AAAI (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, Pengkun Yang, Tianyang Wang, Xueying Zhan, Min Xu, Dejing Dou, Chengzhong Xu
Deep Active Learning with Noise Stability. CoRR (2022)
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)
Linlang Jiang, Jingbo Zhou, Tong Xu, Yanyan Li, Hao Chen, Dejing Dou
Time-aware Neural Trip Planning Reinforced by Human Mobility. IJCNN (2022)
Shahid Hussain, Pamela Hussey, Dejing Dou
Preface: COVID 19: From Misinformation to Knowledge Discovery. J. Inf. Knowl. Manag. 21 (Supplement-1) (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)
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)
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) (2022)
Can Chen, Jingbo Zhou, Fan Wang, Xue Liu, Dejing Dou
Structure-aware Protein Self-supervised Learning. CoRR (2022)
Yaqing Wang, Song Wang, Yanyan Li, Dejing Dou
Recognizing Medical Search Query Intent by Few-shot Learning. SIGIR (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)
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)
Xueying Zhan, Qingzhong Wang, Kuan-Hao Huang, Haoyi Xiong, Dejing Dou, Antoni B. Chan
A Comparative Survey of Deep Active Learning. CoRR (2022)
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)
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)
Qiuhao Lu, Dejing Dou, Thien Huu Nguyen
Textual Data Augmentation for Patient Outcomes Prediction. CoRR (2022)
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 (2022)
Yan Li, Xinjiang Lu, Yaqing Wang, Dejing Dou
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement. NeurIPS (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)
Kaixin Zheng, Yaqing Wang, Quanming Yao, Dejing Dou
Simplified Graph Learning for Inductive Short Text Classification. EMNLP (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)
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 (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Dejing Dou