Dejing Dou

371 papers A* 70A 14B 14C 4Misc 6Journal 193Unranked 69
YearRankTypeTitle / Venue / Authors
2026 J jnl
Unrewarded Exploration in Large Language Models Reveals Latent Learning from Psychology.
CoRR
Jian Xiong, Jingbo Zhou, Zihan Zhou, Yixiong Xiao, Le Zhang, Jingyong Ye, Rui Qian, Yang Zhou, Dejing Dou
2025 J jnl
AAPO: Enhance the Reasoning Capabilities of LLMs with Advantage Momentum.
CoRR
Jian Xiong, Jingbo Zhou, Jingyong Ye, Dejing Dou
2025 J jnl
Efficient Federated Learning with Heterogeneous Data and Adaptive Dropout.
CoRR
Ji Liu, Beichen Ma, Qiaolin Yu, Ruoming Jin, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Haixun Wang, Dejing Dou, Patrick Valduriez
2025 J jnl
Efficient Federated Learning with Heterogeneous Data and Adaptive Dropout.
ACM Trans. Knowl. Discov. Data
Ji Liu, Beichen Ma, Qiaolin Yu, Ruoming Jin, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Haixun Wang, Dejing Dou, Patrick Valduriez
2025 J jnl
Efficient Federated Learning with Timely Update Dissemination.
CoRR
Juncheng Jia, Ji Liu, Chao Huo, Yihui Shen, Yang Zhou, Huaiyu Dai, Dejing Dou
2025 J jnl
Efficient federated learning with timely update dissemination.
Knowl. Inf. Syst.
Juncheng Jia, Ji Liu, Chao Huo, Yihui Shen, Yang Zhou, Huaiyu Dai, Dejing Dou
2025 A* conf
Flexible, Efficient, and Stable Adversarial Attacks on Machine Unlearning.
ICML
Zihan Zhou, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Da Yan, Ruoming Jin, Dejing Dou
2025 J jnl
Improving Pretrained Language Model Fine-Tuning With Noise Stability Regularization.
IEEE Trans. Neural Networks Learn. Syst.
Hang Hua, Xingjian Li, Dejing Dou, Cheng-Zhong Xu, Jiebo Luo
2025 J jnl
Latent Diffusion Enhanced Rectangle Transformer for Hyperspectral Image Restoration.
IEEE Trans. Pattern Anal. Mach. Intell.
Miaoyu Li, Ying Fu, Tao Zhang, Ji Liu, Dejing Dou, Chenggang Yan, Yulun Zhang
2025 A* conf
Reasoning to Attend: Try to Understand How Token Works.
CVPR
Rui Qian, Xin Yin, Dejing Dou
2025 J jnl
Trustworthy federated learning: privacy, security, and beyond.
Knowl. Inf. Syst.
Chunlu Chen, Ji Liu, Haowen Tan, Xingjian Li, Kevin I-Kai Wang, Peng Li, Kouichi Sakurai, Dejing Dou
2025 J jnl
UGround: Towards Unified Visual Grounding with Unrolled Transformers.
CoRR
Rui Qian, Xin Yin, Chuanhang Deng, Zhiyuan Peng, Jian Xiong, Wei Zhai, Dejing Dou
2024 J jnl
A Simple yet Effective Framework for Active Learning to Rank.
Mach. Intell. Res.
Qingzhong Wang, Haifang Li, Haoyi Xiong, Wen Wang, Jiang Bian, Yu Lu, Shuaiqiang Wang, Zhicong Cheng, Dejing Dou, Dawei Yin
2024 A conf
AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices.
SDM
Ji Liu, Tianshi Che, Yang Zhou, Ruoming Jin, Huaiyu Dai, Dejing Dou, Patrick Valduriez
2024 J jnl
Dual-space Hierarchical Learning for Goal-guided Conversational Recommendation.
CoRR
Can Chen, Hao Liu, Zeming Liu, Xue Liu, Dejing Dou
2024 J jnl
Dual-space Hierarchical Learning for Goal-guided Conversational Recommendation.
Neurocomputing
Can Chen, Hao Liu, Zeming Liu, Xue Liu, Dejing Dou
2024 J jnl
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data.
CoRR
Ji Liu, Juncheng Jia, Hong Zhang, Yuhui Yun, Leye Wang, Yang Zhou, Huaiyu Dai, Dejing Dou
2024 J jnl
Efficient Federated Learning Using Dynamic Update and Adaptive Pruning with Momentum on Shared Server Data.
ACM Trans. Intell. Syst. Technol.
Ji Liu, Juncheng Jia, Hong Zhang, Yuhui Yun, Leye Wang, Yang Zhou, Huaiyu Dai, Dejing Dou
2024 J jnl
Efficient asynchronous federated learning with sparsification and quantization.
Concurr. Comput. Pract. Exp.
Juncheng Jia, Ji Liu, Chendi Zhou, Hao Tian, Mianxiong Dong, Dejing Dou
2024 J jnl
Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning.
CoRR
Ji Liu, Chunlu Chen, Yu Li, Lin Sun, Yulun Song, Jingbo Zhou, Bo Jing, Dejing Dou
2024 J jnl
Enhancing trust and privacy in distributed networks: a comprehensive survey on blockchain-based federated learning.
Knowl. Inf. Syst.
Ji Liu, Chunlu Chen, Yu Li, Lin Sun, Yulun Song, Jingbo Zhou, Bo Jing, Dejing Dou
2024 A* conf
FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update.
AAAI
Ji Liu, Juncheng Jia, Tianshi Che, Chao Huo, Jiaxiang Ren, Yang Zhou, Huaiyu Dai, Dejing Dou
2024 A* conf
Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models.
EMNLP
Ji Liu, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Yang Zhou, Patrick Valduriez, Dejing Dou
2024 J jnl
Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models.
CoRR
Ji Liu, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Yang Zhou, Patrick Valduriez, Dejing Dou
2024 A* conf
G-LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint).
AAAI
Xuhong Li, Haoyi Xiong, Xingjian Li, Xiao Zhang, Ji Liu, Haiyan Jiang, Zeyu Chen, Dejing Dou
2024 J jnl
GIaNt: Protein-Ligand Binding Affinity Prediction via Geometry-Aware Interactive Graph Neural Network.
IEEE Trans. Knowl. Data Eng.
Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong
2024 J jnl
MTPret: Improving X-Ray Image Analytics With Multitask Pretraining.
IEEE Trans. Artif. Intell.
Weibin Liao, Qingzhong Wang, Xuhong Li, Yi Liu, Zeyu Chen, Siyu Huang, Dejing Dou, Yanwu Xu, Haoyi Xiong
2024 J jnl
On mask-based image set desensitization with recognition support.
Appl. Intell.
Qilong Li, Ji Liu, Yifan Sun, Chongsheng Zhang, Dejing Dou
2024 J jnl
P
ACM Trans. Multim. Comput. Commun. Appl.
Jiang Bian, Xuhong Li, Tao Wang, Qingzhong Wang, Jun Huang, Chen Liu, Jun Zhao, Feixiang Lu, Dejing Dou, Haoyi Xiong
2024 J jnl
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction.
IEEE Trans. Pattern Anal. Mach. Intell.
Quanming Yao, Zhenqian Shen, Yaqing Wang, Dejing Dou
2024 J jnl
Reasoning to Attend: Try to Understand How Token Works.
CoRR
Rui Qian, Xin Yin, Dejing Dou
2024 J jnl
Stochastic gradient descent with random label noises: doubly stochastic models and inference stabilizer.
Mach. Learn. Sci. Technol.
Haoyi Xiong, Xuhong Li, Boyang Yu, Dongrui Wu, Zhanxing Zhu, Dejing Dou
2024 J jnl
Temporal Output Discrepancy for Loss Estimation-Based Active Learning.
IEEE Trans. Neural Networks Learn. Syst.
Siyu Huang, Tianyang Wang, Haoyi Xiong, Bihan Wen, Jun Huan, Dejing Dou
2024 J jnl
Towards accurate knowledge transfer via target-awareness representation disentanglement.
Mach. Learn.
Xingjian Li, Di Hu, Xuhong Li, Haoyi Xiong, Cheng-Zhong Xu, Dejing Dou
2024 J jnl
Trustworthy Federated Learning: Privacy, Security, and Beyond.
CoRR
Chunlu Chen, Ji Liu, Haowen Tan, Xingjian Li, Kevin I-Kai Wang, Peng Li, Kouichi Sakurai, Dejing Dou
2023 J jnl
$\mathcal {AFCS}:$AFCS: Aggregation-Free Spatial-Temporal Mobile Community Sensing.
IEEE Trans. Mob. Comput.
Jiang Bian, Haoyi Xiong, Zhiyuan Wang, Jingbo Zhou, Shilei Ji, Hongyang Chen, Daqing Zhang, Dejing Dou
2023 A* conf
A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detection.
ICDE
Congxi Xiao, Jingbo Zhou, Jizhou Huang, Hengshu Zhu, Tong Xu, Dejing Dou, Hui Xiong
2023 J jnl
A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications.
IEEE Trans. Multim.
Fei Wu, Qingzhong Wang, Jiang Bian, Ning Ding, Feixiang Lu, Jun Cheng, Dejing Dou, Haoyi Xiong
2023 J jnl
AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices.
CoRR
Ji Liu, Tianshi Che, Yang Zhou, Ruoming Jin, Huaiyu Dai, Dejing Dou, Patrick Valduriez
2023 J jnl
Beyond Intuition: Rethinking Token Attributions inside Transformers.
Trans. Mach. Learn. Res.
Jiamin Chen, Xuhong Li, Lei Yu, Dejing Dou, Haoyi Xiong
2023 J jnl
COLTR: Semi-Supervised Learning to Rank With Co-Training and Over-Parameterization for Web Search.
IEEE Trans. Knowl. Data Eng.
Yuchen Li, Haoyi Xiong, Qingzhong Wang, Linghe Kong, Hao Liu, Haifang Li, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dejing Dou, Dawei Yin
2023 A* conf
ColdNAS: Search to Modulate for User Cold-Start Recommendation.
WWW
Shiguang Wu, Yaqing Wang, Qinghe Jing, Daxiang Dong, Dejing Dou, Quanming Yao
2023 J jnl
ColdNAS: Search to Modulate for User Cold-Start Recommendation.
CoRR
Shiguang Wu, Yaqing Wang, Qinghe Jing, Daxiang Dong, Dejing Dou, Quanming Yao
2023 A* conf
ContRE: A Complementary Measure for Robustness Evaluation of Deep Networks via Contrastive Examples.
ICDM
Xuhong Li, Xuanyu Wu, Linghe Kong, Xiao Zhang, Siyu Huang, Dejing Dou, Haoyi Xiong
2023 J jnl
Cross-model consensus of explanations and beyond for image classification models: an empirical study.
Mach. Learn.
Xuhong Li, Haoyi Xiong, Siyu Huang, Shilei Ji, Dejing Dou
2023 J jnl
Data Placement for Multi-Tenant Data Federation on the Cloud.
IEEE Trans. Cloud Comput.
Ji Liu, Lei Mo, Sijia Yang, Jingbo Zhou, Shilei Ji, Haoyi Xiong, Dejing Dou
2023 J jnl
Distilling ensemble of explanations for weakly-supervised pre-training of image segmentation models.
Mach. Learn.
Xuhong Li, Haoyi Xiong, Yi Liu, Dingfu Zhou, Zeyu Chen, Yaqing Wang, Dejing Dou
2023 J jnl
Distributed and Deep Vertical Federated Learning with Big Data.
CoRR
Ji Liu, Xuehai Zhou, Lei Mo, Shilei Ji, Yuan Liao, Zheng Li, Qin Gu, Dejing Dou
2023 J jnl
Distributed and deep vertical federated learning with big data.
Concurr. Comput. Pract. Exp.
Ji Liu, Xuehai Zhou, Lei Mo, Shilei Ji, Yuan Liao, Zheng Li, Qin Gu, Dejing Dou
2023 J jnl
Doubly Stochastic Models: Learning with Unbiased Label Noises and Inference Stability.
CoRR
Haoyi Xiong, Xuhong Li, Boyang Yu, Zhanxing Zhu, Dongrui Wu, Dejing Dou
2023 J jnl
Efficient Asynchronous Federated Learning with Sparsification and Quantization.
CoRR
Juncheng Jia, Ji Liu, Chendi Zhou, Hao Tian, Mianxiong Dong, Dejing Dou
2023 A* conf
Fast Federated Machine Unlearning with Nonlinear Functional Theory.
ICML
Tianshi Che, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Ji Liu, Da Yan, Dejing Dou, Jun Huan
2023 J jnl
FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-aware Model Update.
CoRR
Ji Liu, Juncheng Jia, Tianshi Che, Chao Huo, Jiaxiang Ren, Yang Zhou, Huaiyu Dai, Dejing Dou
2023 A* conf
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization.
EMNLP
Tianshi Che, Ji Liu, Yang Zhou, Jiaxiang Ren, Jiwen Zhou, Victor S. Sheng, Huaiyu Dai, Dejing Dou
2023 J jnl
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization.
CoRR
Tianshi Che, Ji Liu, Yang Zhou, Jiaxiang Ren, Jiwen Zhou, Victor S. Sheng, Huaiyu Dai, Dejing Dou
2023 J jnl
Feynman: Federated Learning-Based Advertising for Ecosystems-Oriented Mobile Apps Recommendation.
IEEE Trans. Serv. Comput.
Jiang Bian, Jizhou Huang, Shilei Ji, Yuan Liao, Xuhong Li, Qingzhong Wang, Jingbo Zhou, Dejing Dou, Yaqing Wang, Haoyi Xiong
2023 J jnl
G-LIME: Statistical learning for local interpretations of deep neural networks using global priors.
Artif. Intell.
Xuhong Li, Haoyi Xiong, Xingjian Li, Xiao Zhang, Ji Liu, Haiyan Jiang, Zeyu Chen, Dejing Dou
2023 J jnl
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement.
CoRR
Yan Li, Xinjiang Lu, Yaqing Wang, Dejing Dou
2023 J jnl
HeterPS: Distributed deep learning with reinforcement learning based scheduling in heterogeneous environments.
Future Gener. Comput. Syst.
Ji Liu, Zhihua Wu, Danlei Feng, Minxu Zhang, Xinxuan Wu, Xuefeng Yao, Dianhai Yu, Yanjun Ma, Feng Zhao, Dejing Dou
2023 B ed.
IEEE International Conference on Big Data, BigData 2023, Sorrento, Italy, December 15-18, 2023
IEEE Big Data
Jingrui He, Themis Palpanas, Xiaohua Hu, Alfredo Cuzzocrea, Dejing Dou, Dominik Slezak, Wei Wang, Aleksandra Gruca, Jerry Chun-Wei Lin, Rakesh Agrawal
2023 Misc conf
Improving Bert Fine-Tuning via Stabilizing Cross-Layer Mutual Information.
ICASSP
Jicun Li, Xingjian Li, Tianyang Wang, Shi Wang, Yanan Cao, Cheng-Zhong Xu, Dejing Dou
2023 J jnl
Large-scale knowledge distillation with elastic heterogeneous computing resources.
Concurr. Comput. Pract. Exp.
Ji Liu, Daxiang Dong, Xi Wang, An Qin, Xingjian Li, Patrick Valduriez, Dejing Dou, Dianhai Yu
2023 A* conf
Learning from Training Dynamics: Identifying Mislabeled Data beyond Manually Designed Features.
AAAI
Qingrui Jia, Xuhong Li, Lei Yu, Jiang Bian, Penghao Zhao, Shupeng Li, Haoyi Xiong, Dejing Dou
2023 J jnl
MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-ray Images of Multiple Body Parts.
CoRR
Weibin Liao, Haoyi Xiong, Qingzhong Wang, Yan Mo, Xuhong Li, Yi Liu, Zeyu Chen, Siyu Huang, Dejing Dou
2023 A* conf
Matching Point of Interests and Travel Blog with Multi-view Information Fusion.
SIGIR
Shuokai Li, Jingbo Zhou, Jizhou Huang, Hao Chen, Fuzhen Zhuang, Qing He, Dejing Dou
2023 B conf
Mitigating Confounding and Selection Biases in Personalized Recommendation: A Causal Approach.
IEEE Big Data
Wen Huang, Jingbo Zhou, Xintao Wu, Dejing Dou
2023 J jnl
Multi-Job Intelligent Scheduling With Cross-Device Federated Learning.
IEEE Trans. Parallel Distributed Syst.
Ji Liu, Juncheng Jia, Beichen Ma, Chendi Zhou, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou
2023 A* conf
Multimodal Biological Knowledge Graph Completion via Triple Co-Attention Mechanism.
ICDE
Derong Xu, Jingbo Zhou, Tong Xu, Yuan Xia, Ji Liu, Enhong Chen, Dejing Dou
2023 J jnl
On Mask-based Image Set Desensitization with Recognition Support.
CoRR
Qilong Li, Ji Liu, Yifan Sun, Chongsheng Zhang, Dejing Dou
2023 J jnl
Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios.
Trans. Mach. Learn. Res.
Xueying Zhan, Zeyu Dai, Qingzhong Wang, Qing Li, Haoyi Xiong, Dejing Dou, Antoni B. Chan
2023 J jnl
Robust Cross-Modal Knowledge Distillation for Unconstrained Videos.
CoRR
Wenke Xia, Xingjian Li, Andong Deng, Haoyi Xiong, Dejing Dou, Di Hu
2023 J jnl
SMILE: Sample-to-feature Mixup for Efficient Transfer Learning.
Trans. Mach. Learn. Res.
Xingjian Li, Haoyi Xiong, Cheng-Zhong Xu, Dejing Dou
2023 J jnl
Semi-supervised transfer learning with hierarchical self-regularization.
Pattern Recognit.
Xingjian Li, Abulikemu Abuduweili, Humphrey Shi, Pengkun Yang, Dejing Dou, Haoyi Xiong, Chengzhong Xu
2023 A* conf
Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising.
CVPR
Miaoyu Li, Ji Liu, Ying Fu, Yulun Zhang, Dejing Dou
2023 J jnl
Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising.
CoRR
Miaoyu Li, Ji Liu, Ying Fu, Yulun Zhang, Dejing Dou
2023 J jnl
Structure-aware protein self-supervised learning.
Bioinform.
Can (sam) Chen, Jingbo Zhou, Fan Wang, Xue (Steve) Liu, Dejing Dou
2023 A* conf
Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution.
ICDE
Yan Li, Xinjiang Lu, Haoyi Xiong, Jian Tang, Jiantao Su, Bo Jin, Dejing Dou
2023 J jnl
Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution.
CoRR
Yan Li, Xinjiang Lu, Haoyi Xiong, Jian Tang, Jiantao Su, Bo Jin, Dejing Dou
2023 J jnl
Towards Table-to-Text Generation with Pretrained Language Model: A Table Structure Understanding and Text Deliberating Approach.
CoRR
Miao Chen, Xinjiang Lu, Tong Xu, Yanyan Li, Jingbo Zhou, Dejing Dou, Hui Xiong
2023 — conf
Video4MRI: An Empirical Study on Brain Magnetic Resonance Image Analytics with CNN-Based Video Classification Frameworks.
ISBI
Yuxuan Zhang, Qingzhong Wang, Jiang Bian, Yi Liu, Yanwu Xu, Dejing Dou, Haoyi Xiong
2023 J jnl
Video4MRI: An Empirical Study on Brain Magnetic Resonance Image Analytics with CNN-based Video Classification Frameworks.
CoRR
Yuxuan Zhang, Qingzhong Wang, Jiang Bian, Yi Liu, Yanwu Xu, Dejing Dou, Haoyi Xiong
2022 J jnl
A Comparative Survey of Deep Active Learning.
CoRR
Xueying Zhan, Qingzhong Wang, Kuan-Hao Huang, Haoyi Xiong, Dejing Dou, Antoni B. Chan
2022 J jnl
A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detection.
CoRR
Congxi Xiao, Jingbo Zhou, Jizhou Huang, Hengshu Zhu, Tong Xu, Dejing Dou, Hui Xiong
2022 J jnl
A Survey on Video Action Recognition in Sports: Datasets, Methods and Applications.
CoRR
Fei Wu, Qingzhong Wang, Jiang Bian, Haoyi Xiong, Ning Ding, Feixiang Lu, Jun Cheng, Dejing Dou
2022 A* conf
Accelerated Federated Learning with Decoupled Adaptive Optimization.
ICML
Jiayin Jin, Jiaxiang Ren, Yang Zhou, Lingjuan Lyu, Ji Liu, Dejing Dou
2022 J jnl
Accelerated Federated Learning with Decoupled Adaptive Optimization.
CoRR
Jiayin Jin, Jiaxiang Ren, Yang Zhou, Lingjuan Lyu, Ji Liu, Dejing Dou
2022 A* conf
AutoMS: Automatic Model Selection for Novelty Detection with Error Rate Control.
NeurIPS
Yifan Zhang, Haiyan Jiang, Haojie Ren, Changliang Zou, Dejing Dou
2022 — conf
Building Post-layout Performance Model of Analog/RF Circuits by Fine-tuning Technique.
ISQED
Zhikai Wang, Wenfei Hu, Jingbo Zhou, Wenyuan Zhang, Ruitao Wang, Jian Zhang, Dejing Dou, Zuochang Ye, Yan Wang
2022 A* conf
CAPTOR: A Crowd-Aware Pre-Travel Recommender System for Out-of-Town Users.
SIGIR
Haoran Xin, Xinjiang Lu, Nengjun Zhu, Tong Xu, Dejing Dou, Hui Xiong
2022 J jnl
COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization.
Neural Process. Lett.
Xingjian Li, Haoyi Xiong, Haozhe An, Cheng-Zhong Xu, Dejing Dou
2022 — conf
ClinicalT5: A Generative Language Model for Clinical Text.
EMNLP (Findings)
Qiuhao Lu, Dejing Dou, Thien Huu Nguyen
2022 J jnl
Deep Active Learning with Noise Stability.
CoRR
Xingjian Li, Pengkun Yang, Tianyang Wang, Xueying Zhan, Min Xu, Dejing Dou, Chengzhong Xu
2022 J jnl
Distilling Ensemble of Explanations for Weakly-Supervised Pre-Training of Image Segmentation Models.
CoRR
Xuhong Li, Haoyi Xiong, Yi Liu, Dingfu Zhou, Zeyu Chen, Yaqing Wang, Dejing Dou
2022 A* conf
Efficient Device Scheduling with Multi-Job Federated Learning.
AAAI
Chendi Zhou, Ji Liu, Juncheng Jia, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou
2022 J jnl
Exploring the common principal subspace of deep features in neural networks.
Mach. Learn.
Haoran Liu, Haoyi Xiong, Yaqing Wang, Haozhe An, Dejing Dou, Dongrui Wu
2022 J jnl
Feature Forgetting in Continual Representation Learning.
CoRR
Xiao Zhang, Dejing Dou, Ji Wu
2022 A* conf
FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server.
IJCAI
Hong Zhang, Ji Liu, Juncheng Jia, Yang Zhou, Huaiyu Dai, Dejing Dou
2022 J jnl
FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server.
CoRR
Hong Zhang, Ji Liu, Juncheng Jia, Yang Zhou, Huaiyu Dai, Dejing Dou
2022 B conf
FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity.
ICPP
Guanghao Li, Yue Hu, Miao Zhang, Ji Liu, Quanjun Yin, Yong Peng, Dejing Dou
2022 J jnl
FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity.
CoRR
Guanghao Li, Yue Hu, Miao Zhang, Ji Liu, Quanjun Yin, Yong Peng, Dejing Dou
2022 A* conf
Federated Fingerprint Learning with Heterogeneous Architectures.
ICDM
Tianshi Che, Zijie Zhang, Yang Zhou, Xin Zhao, Ji Liu, Zhe Jiang, Da Yan, Ruoming Jin, Dejing Dou
2022 J jnl
Fine-tuning Pre-trained Language Models with Noise Stability Regularization.
CoRR
Hang Hua, Xingjian Li, Dejing Dou, Cheng-Zhong Xu, Jiebo Luo
2022 J jnl
From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques.
IEEE Internet Things J.
Zhiyuan Wang, Haoyi Xiong, Jie Zhang, Sijia Yang, Mehdi Boukhechba, Daqing Zhang, Laura E. Barnes, Dejing Dou
2022 J jnl
From distributed machine learning to federated learning: a survey.
Knowl. Inf. Syst.
Ji Liu, Jizhou Huang, Yang Zhou, Xuhong Li, Shilei Ji, Haoyi Xiong, Dejing Dou
2022 A* conf
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement.
NeurIPS
Yan Li, Xinjiang Lu, Yaqing Wang, Dejing Dou
2022 A* conf
GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction.
AAAI
Shuangli Li, Jingbo Zhou, Tong Xu, Dejing Dou, Hui Xiong
2022 J jnl
HandGest: Hierarchical Sensing for Robust-in-the-Air Handwriting Recognition With Commodity WiFi Devices.
IEEE Internet Things J.
Jie Zhang, Yang Li, Haoyi Xiong, Dejing Dou, Chunyan Miao, Daqing Zhang
2022 J jnl
Inadequately Pre-trained Models are Better Feature Extractors.
CoRR
Andong Deng, Xingjian Li, Zhibing Li, Di Hu, Chengzhong Xu, Dejing Dou
2022 J jnl
InterpretDL: Explaining Deep Models in PaddlePaddle.
J. Mach. Learn. Res.
Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Zeyu Chen, Dejing Dou
2022 J jnl
Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond.
Knowl. Inf. Syst.
Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Xiao Zhang, Ji Liu, Jiang Bian, Dejing Dou
2022 J jnl
Knowledge Distillation with Attention for Deep Transfer Learning of Convolutional Networks.
ACM Trans. Knowl. Discov. Data
Xingjian Li, Haoyi Xiong, Zeyu Chen, Jun Huan, Ji Liu, Cheng-Zhong Xu, Dejing Dou
2022 J jnl
Large-scale Knowledge Distillation with Elastic Heterogeneous Computing Resources.
CoRR
Ji Liu, Daxiang Dong, Xi Wang, An Qin, Xingjian Li, Patrick Valduriez, Dejing Dou, Dianhai Yu
2022 A conf
Learning Moving-Object Tracking with FMCW LiDAR.
IROS
Yi Gu, Hongzhi Cheng, Kafeng Wang, Dejing Dou, Chengzhong Xu, Hui Kong
2022 J jnl
Learning Moving-Object Tracking with FMCW LiDAR.
CoRR
Yi Gu, Hongzhi Cheng, Kafeng Wang, Dejing Dou, Chengzhong Xu, Hui Kong
2022 J jnl
Learning from Training Dynamics: Identifying Mislabeled Data Beyond Manually Designed Features.
CoRR
Qingrui Jia, Xuhong Li, Lei Yu, Jiang Bian, Penghao Zhao, Shupeng Li, Haoyi Xiong, Dejing Dou
2022 — conf
MUSCLE: Multi-task Self-supervised Continual Learning to Pre-train Deep Models for X-Ray Images of Multiple Body Parts.
MICCAI (8)
Weibin Liao, Haoyi Xiong, Qingzhong Wang, Yan Mo, Xuhong Li, Yi Liu, Zeyu Chen, Siyu Huang, Dejing Dou
2022 J jnl
Machine Learning in Real-Time Internet of Things (IoT) Systems: A Survey.
IEEE Internet Things J.
Jiang Bian, Abdullah Al Arafat, Haoyi Xiong, Jing Li, Li Li, Hongyang Chen, Jun Wang, Dejing Dou, Zhishan Guo
2022 — conf
Meta Hierarchical Reinforced Learning to Rank for Recommendation: A Comprehensive Study in MOOCs.
ECML/PKDD (6)
Yuchen Li, Haoyi Xiong, Linghe Kong, Rui Zhang, Dejing Dou, Guihai Chen
2022 J jnl
Multi-Job Intelligent Scheduling with Cross-Device Federated Learning.
CoRR
Ji Liu, Juncheng Jia, Beichen Ma, Chendi Zhou, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou
2022 J jnl
P
CoRR
Jiang Bian, Qingzhong Wang, Haoyi Xiong, Jun Huang, Chen Liu, Xuhong Li, Jun Cheng, Jun Zhao, Feixiang Lu, Dejing Dou
2022 Misc conf
Parameter-Free Style Projection for Arbitrary Image Style Transfer.
ICASSP
Siyu Huang, Haoyi Xiong, Tianyang Wang, Bihan Wen, Qingzhong Wang, Zeyu Chen, Jun Huan, Dejing Dou
2022 J jnl
Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios.
CoRR
Xueying Zhan, Zeyu Dai, Qingzhong Wang, Qing Li, Haoyi Xiong, Dejing Dou, Antoni B. Chan
2022 J jnl
Practical Strategies of Active Learning to Rank for Web Search.
CoRR
Qingzhong Wang, Haifang Li, Haoyi Xiong, Wen Wang, Jiang Bian, Yu Lu, Shuaiqiang Wang, Zhicong Cheng, Jingbo Zhou, Dawei Yin, Dejing Dou
2022 J jnl
Predicting Patient Readmission Risk from Medical Text via Knowledge Graph Enhanced Multiview Graph Convolution.
CoRR
Qiuhao Lu, Thien Huu Nguyen, Dejing Dou
2022 J jnl
Preface: COVID 19: From Misinformation to Knowledge Discovery.
J. Inf. Knowl. Manag.
Shahid Hussain, Pamela Hussey, Dejing Dou
2022 — conf
RGL: A Simple yet Effective Relation Graph Augmented Prompt-based Tuning Approach for Few-Shot Learning.
NAACL-HLT (Findings)
Yaqing Wang, Xin Tian, Haoyi Xiong, Yueyang Li, Zeyu Chen, Sheng Guo, Dejing Dou
2022 A* conf
Recognizing Medical Search Query Intent by Few-shot Learning.
SIGIR
Yaqing Wang, Song Wang, Yanyan Li, Dejing Dou
2022 J jnl
SDWPF: A Dataset for Spatial Dynamic Wind Power Forecasting Challenge at KDD Cup 2022.
CoRR
Jingbo Zhou, Xinjiang Lu, Yixiong Xiao, Jiantao Su, Junfu Lyu, Yanjun Ma, Dejing Dou
2022 A* conf
Simplified Graph Learning for Inductive Short Text Classification.
EMNLP
Kaixin Zheng, Yaqing Wang, Quanming Yao, Dejing Dou
2022 J jnl
Structure-aware Protein Self-supervised Learning.
CoRR
Can Chen, Jingbo Zhou, Fan Wang, Xue Liu, Dejing Dou
2022 J jnl
Temporal Output Discrepancy for Loss Estimation-based Active Learning.
CoRR
Siyu Huang, Tianyang Wang, Haoyi Xiong, Bihan Wen, Jun Huan, Dejing Dou
2022 J jnl
Textual Data Augmentation for Patient Outcomes Prediction.
CoRR
Qiuhao Lu, Dejing Dou, Thien Huu Nguyen
2022 B conf
Time-aware Neural Trip Planning Reinforced by Human Mobility.
IJCNN
Linlang Jiang, Jingbo Zhou, Tong Xu, Yanyan Li, Hao Chen, Dejing Dou
2022 A* conf
Towards Table-to-Text Generation with Pretrained Language Model: A Table Structure Understanding and Text Deliberating Approach.
EMNLP
Miao Chen, Xinjiang Lu, Tong Xu, Yanyan Li, Jingbo Zhou, Dejing Dou, Hui Xiong
2022 J jnl
Unsupervised Adversarial Network Alignment with Reinforcement Learning.
ACM Trans. Knowl. Discov. Data
Yang Zhou, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Jingyi Zheng, Zhe Jiang, Da Yan, Dejing Dou
2022 J jnl
Who will Win the Data Science Competition? Insights from KDD Cup 2019 and Beyond.
ACM Trans. Knowl. Discov. Data
Hao Liu, Qingyu Guo, Hengshu Zhu, Fuzhen Zhuang, Shenwen Yang, Dejing Dou, Hui Xiong
2021 J jnl
"In-Network Ensemble": Deep Ensemble Learning with Diversified Knowledge Distillation.
ACM Trans. Intell. Syst. Technol.
Xingjian Li, Haoyi Xiong, Zeyu Chen, Jun Huan, Cheng-Zhong Xu, Dejing Dou
2021 A* conf
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning.
CVPR
Abulikemu Abuduweili, Xingjian Li, Humphrey Shi, Cheng-Zhong Xu, Dejing Dou
2021 J jnl
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning.
CoRR
Abulikemu Abuduweili, Xingjian Li, Humphrey Shi, Cheng-Zhong Xu, Dejing Dou
2021 — conf
Adversarial Attack against Cross-lingual Knowledge Graph Alignment.
EMNLP (1)
Zeru Zhang, Zijie Zhang, Yang Zhou, Lingfei Wu, Sixing Wu, Xiaoying Han, Dejing Dou, Tianshi Che, Da Yan
2021 J jnl
AgFlow: Fast Model Selection of Penalized PCA via Implicit Regularization Effects of Gradient Flow.
CoRR
Haiyan Jiang, Haoyi Xiong, Dongrui Wu, Ji Liu, Dejing Dou
2021 J jnl
AgFlow: fast model selection of penalized PCA via implicit regularization effects of gradient flow.
Mach. Learn.
Haiyan Jiang, Haoyi Xiong, Dongrui Wu, Ji Liu, Dejing Dou
2021 J jnl
An Empirical Study on the Relation Between Network Interpretability and Adversarial Robustness.
SN Comput. Sci.
Adam Noack, Isaac Ahern, Dejing Dou, Boyang Li
2021 — conf
An Investigation of Containment Measure Implementation and Public Responses to the COVID-19 Pandemic in Mainland China.
ICDH
Ji Liu, Haoyi Xiong, Xiakai Wang, Jizhou Huang, Qiaojun Li, Tongtong Huang, Siyu Huang, Haifeng Wang, Dejing Dou
2021 A* conf
ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows.
CVPR
Jie An, Siyu Huang, Yibing Song, Dejing Dou, Wei Liu, Jiebo Luo
2021 J jnl
ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows.
CoRR
Jie An, Siyu Huang, Yibing Song, Dejing Dou, Wei Liu, Jiebo Luo
2021 A conf
AutoGFS: Automated Group-based Feature Selection via Interactive Reinforcement Learning.
SDM
Wei Fan, Kunpeng Liu, Hao Liu, Ahmad Hariri, Dejing Dou, Yanjie Fu
2021 J jnl
BM-NAS: Bilevel Multimodal Neural Architecture Search.
CoRR
Yihang Yin, Siyu Huang, Xiang Zhang, Dejing Dou
2021 A* conf
C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak.
AAAI
Congxi Xiao, Jingbo Zhou, Jizhou Huang, An Zhuo, Ji Liu, Haoyi Xiong, Dejing Dou
2021 A conf
CHASE: Commonsense-Enriched Advertising on Search Engine with Explicit Knowledge.
CIKM
Chao Zhang, Jingbo Zhou, Xiaoling Zang, Qing Xu, Liang Yin, Xiang He, Lin Liu, Haoyi Xiong, Dejing Dou
2021 J jnl
COMO: Efficient Deep Neural Networks Expansion With COnvolutional MaxOut.
IEEE Trans. Multim.
Baoxin Zhao, Haoyi Xiong, Jiang Bian, Zhishan Guo, Cheng-Zhong Xu, Dejing Dou
2021 A* conf
Community-Aware Multi-Task Transportation Demand Prediction.
AAAI
Hao Liu, Qiyu Wu, Fuzhen Zhuang, Xinjiang Lu, Dejing Dou, Hui Xiong
2021 J jnl
Cross-Model Consensus of Explanations and Beyond for Image Classification Models: An Empirical Study.
CoRR
Xuhong Li, Haoyi Xiong, Siyu Huang, Shilei Ji, Dejing Dou
2021 J jnl
Cross-lingual Entity Alignment with Adversarial Kernel Embedding and Adversarial Knowledge Translation.
CoRR
Gong Zhang, Yang Zhou, Sixing Wu, Zeru Zhang, Dejing Dou
2021 J jnl
Data Placement for Multi-Tenant Data Federation on the Cloud.
CoRR
Ji Liu, Lei Mo, Sijia Yang, Jingbo Zhou, Shilei Ji, Haoyi Xiong, Dejing Dou
2021 J jnl
Efficient Device Scheduling with Multi-Job Federated Learning.
CoRR
Chendi Zhou, Ji Liu, Juncheng Jia, Jingbo Zhou, Yang Zhou, Huaiyu Dai, Dejing Dou
2021 — conf
Elastic Deep Learning Using Knowledge Distillation with Heterogeneous Computing Resources.
Euro-Par Workshops
Daxiang Dong, Ji Liu, Xi Wang, Weibao Gong, An Qin, Xingjian Li, Dianhai Yu, Patrick Valduriez, Dejing Dou
2021 J jnl
Exploring the Common Principal Subspace of Deep Features in Neural Networks.
CoRR
Haoran Liu, Haoyi Xiong, Yaqing Wang, Haozhe An, Dongrui Wu, Dejing Dou
2021 A* conf
Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks.
ICML
Xin Zhao, Zeru Zhang, Zijie Zhang, Lingfei Wu, Jiayin Jin, Yang Zhou, Ruoming Jin, Dejing Dou, Da Yan
2021 J jnl
From Distributed Machine Learning to Federated Learning: A Survey.
CoRR
Ji Liu, Jizhou Huang, Yang Zhou, Xuhong Li, Shilei Ji, Haoyi Xiong, Dejing Dou
2021 J jnl
Generalized Data Weighting via Class-level Gradient Manipulation.
CoRR
Can Chen, Shuhao Zheng, Xi Chen, Erqun Dong, Xue Liu, Hao Liu, Dejing Dou
2021 A* conf
Generalized DataWeighting via Class-Level Gradient Manipulation.
NeurIPS
Can Chen, Shuhao Zheng, Xi Chen, Erqun Dong, Xue (Steve) Liu, Hao Liu, Dejing Dou
2021 J jnl
GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction.
CoRR
Shuangli Li, Jingbo Zhou, Tong Xu, Dejing Dou, Hui Xiong
2021 J jnl
HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous Environments.
CoRR
Ji Liu, Zhihua Wu, Dianhai Yu, Yanjun Ma, Danlei Feng, Minxu Zhang, Xinxuan Wu, Xuefeng Yao, Dejing Dou
2021 — conf
Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification.
EMNLP (1)
Yaqing Wang, Song Wang, Quanming Yao, Dejing Dou
2021 J jnl
Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification.
CoRR
Yaqing Wang, Song Wang, Quanming Yao, Dejing Dou
2021 J jnl
Improving Adversarial Robustness via Attention and Adversarial Logit Pairing.
Frontiers Artif. Intell.
Xingjian Li, Dou Goodman, Ji Liu, Tao Wei, Dejing Dou
2021 A* conf
Integrated Defense for Resilient Graph Matching.
ICML
Jiaxiang Ren, Zijie Zhang, Jiayin Jin, Xin Zhao, Sixing Wu, Yang Zhou, Yelong Shen, Tianshi Che, Ruoming Jin, Dejing Dou
2021 A* conf
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning.
WWW
Weijia Zhang, Hao Liu, Fan Wang, Tong Xu, Haoran Xin, Dejing Dou, Hui Xiong
2021 J jnl
Intelligent Electric Vehicle Charging Recommendation Based on Multi-Agent Reinforcement Learning.
CoRR
Weijia Zhang, Hao Liu, Fan Wang, Tong Xu, Haoran Xin, Dejing Dou, Hui Xiong
2021 J jnl
Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond.
CoRR
Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Xiao Zhang, Ji Liu, Jiang Bian, Dejing Dou
2021 A* conf
JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu.
KDD
Hao Liu, Qian Gao, Jiang Li, Xiaochao Liao, Hao Xiong, Guangxing Chen, Wenlin Wang, Guobao Yang, Zhiwei Zha, Daxiang Dong, Dejing Dou, Haoyi Xiong
2021 J jnl
JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu.
CoRR
Hao Liu, Qian Gao, Jiang Li, Xiaochao Liao, Hao Xiong, Guangxing Chen, Wenlin Wang, Guobao Yang, Zhiwei Zha, Daxiang Dong, Dejing Dou, Haoyi Xiong
2021 A* conf
Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks.
AAAI
Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong, Dejing Dou
2021 A* conf
MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal.
KDD
Weijia Zhang, Hao Liu, Lijun Zha, Hengshu Zhu, Ji Liu, Dejing Dou, Hui Xiong
2021 J jnl
MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal.
CoRR
Weijia Zhang, Hao Liu, Lijun Zha, Hengshu Zhu, Ji Liu, Dejing Dou, Hui Xiong
2021 — conf
Noise Stability Regularization for Improving BERT Fine-tuning.
NAACL-HLT
Hang Hua, Xingjian Li, Dejing Dou, Cheng-Zhong Xu, Jiebo Luo
2021 J jnl
Noise Stability Regularization for Improving BERT Fine-tuning.
CoRR
Hang Hua, Xingjian Li, Dejing Dou, Cheng-Zhong Xu, Jiebo Luo
2021 A* conf
Out-of-Town Recommendation with Travel Intention Modeling.
AAAI
Haoran Xin, Xinjiang Lu, Tong Xu, Hao Liu, Jingjing Gu, Dejing Dou, Hui Xiong
2021 J jnl
Out-of-Town Recommendation with Travel Intention Modeling.
CoRR
Haoran Xin, Xinjiang Lu, Tong Xu, Hao Liu, Jingjing Gu, Dejing Dou, Hui Xiong
2021 — conf
Parameter-Efficient Domain Knowledge Integration from Multiple Sources for Biomedical Pre-trained Language Models.
EMNLP (Findings)
Qiuhao Lu, Dejing Dou, Thien Huu Nguyen
2021 J jnl
Practical Assessment of Generalization Performance Robustness for Deep Networks via Contrastive Examples.
CoRR
Xuanyu Wu, Xuhong Li, Haoyi Xiong, Xiao Zhang, Siyu Huang, Dejing Dou
2021 A* conf
Predicting Patient Readmission Risk from Medical Text via Knowledge Graph Enhanced Multiview Graph Convolution.
SIGIR
Qiuhao Lu, Thien Huu Nguyen, Dejing Dou
2021 A* conf
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction.
NeurIPS
Yaqing Wang, Abulikemu Abuduweili, Quanming Yao, Dejing Dou
2021 J jnl
Property-aware Adaptive Relation Networks for Molecular Property Prediction.
CoRR
Yaqing Wang, Abulikemu Abuduweili, Dejing Dou
2021 J jnl
Robust Matrix Factorization with Grouping Effect.
CoRR
Haiyan Jiang, Shuyu Li, Luwei Zhang, Haoyi Xiong, Dejing Dou
2021 J jnl
SMILE: Self-Distilled MIxup for Efficient Transfer LEarning.
CoRR
Xingjian Li, Haoyi Xiong, Chengzhong Xu, Dejing Dou
2021 J jnl
Sampling Sparse Representations with Randomized Measurement Langevin Dynamics.
ACM Trans. Knowl. Discov. Data
Kafeng Wang, Haoyi Xiong, Jiang Bian, Zhanxing Zhu, Qian Gao, Zhishan Guo, Cheng-Zhong Xu, Jun Huan, Dejing Dou
2021 A conf
Semantic Oppositeness Assisted Deep Contextual Modeling for Automatic Rumor Detection in Social Networks.
EACL
Nisansa de Silva, Dejing Dou
2021 A* conf
Semi-Supervised Active Learning with Temporal Output Discrepancy.
ICCV
Siyu Huang, Tianyang Wang, Haoyi Xiong, Jun Huan, Dejing Dou
2021 J jnl
Semi-Supervised Active Learning with Temporal Output Discrepancy.
CoRR
Siyu Huang, Tianyang Wang, Haoyi Xiong, Jun Huan, Dejing Dou
2021 J jnl
SenseMag: Enabling Low-Cost Traffic Monitoring Using Noninvasive Magnetic Sensing.
IEEE Internet Things J.
Kafeng Wang, Haoyi Xiong, Jie Zhang, Hongyang Chen, Dejing Dou, Cheng-Zhong Xu
2021 J jnl
SenseMag: Enabling Low-Cost Traffic Monitoring using Non-invasive Magnetic Sensing.
CoRR
Kafeng Wang, Haoyi Xiong, Jie Zhang, Hongyang Chen, Dejing Dou, Cheng-Zhong Xu
2021 — conf
Social and Motivational Factors for the Spread of Physical Activities in a Health Social Network.
CSoNet
NhatHai Phan, David Kil, Brigitte Piniewski, Dejing Dou
2021 A* conf
Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity.
KDD
Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong
2021 J jnl
Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity.
CoRR
Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong
2021 A* conf
Temporal Relational Modeling with Self-Supervision for Action Segmentation.
AAAI
Dong Wang, Di Hu, Xingjian Li, Dejing Dou
2021 — conf
Textual Data Augmentation for Patient Outcomes Prediction.
BIBM
Qiuhao Lu, Dejing Dou, Thien Huu Nguyen
2021 A* conf
Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory.
NeurIPS
Zeru Zhang, Jiayin Jin, Zijie Zhang, Yang Zhou, Xin Zhao, Jiaxiang Ren, Ji Liu, Lingfei Wu, Ruoming Jin, Dejing Dou
2020 C ed.
19th IEEE International Conference on Machine Learning and Applications, ICMLA 2020, Miami, FL, USA, December 14-17, 2020
ICMLA
M. Arif Wani, Feng Luo, Xiaolin Andy Li, Dejing Dou, Francesco Bonchi
2020 A* conf
A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency.
AAAI
Amir Pouran Ben Veyseh, Franck Dernoncourt, Dejing Dou, Thien Huu Nguyen
2020 A* conf
Adversarial Attacks on Deep Graph Matching.
NeurIPS
Zijie Zhang, Zeru Zhang, Yang Zhou, Yelong Shen, Ruoming Jin, Dejing Dou
2020 J jnl
Ambient Sound Helps: Audiovisual Crowd Counting in Extreme Conditions.
CoRR
Di Hu, Lichao Mou, Qingzhong Wang, Junyu Gao, Yuansheng Hua, Dejing Dou, Xiao Xiang Zhu
2020 — conf
An Investigation of Containment Measures Against the COVID-19 Pandemic in Mainland China.
IEEE BigData
Ji Liu, Xiakai Wang, Haoyi Xiong, Jizhou Huang, Siyu Huang, Haozhe An, Dejing Dou, Haifeng Wang
2020 J jnl
An Investigation of Containment Measures Against the COVID-19 Pandemic in Mainland China.
CoRR
Ji Liu, Xiakai Wang, Haoyi Xiong, Jizhou Huang, Siyu Huang, Haozhe An, Dejing Dou, Haifeng Wang
2020 J jnl
An Overview of Utilizing Knowledge Bases in Neural Networks for Question Answering.
Inf. Syst. Frontiers
Sabin Kafle, Nisansa de Silva, Dejing Dou
2020 J jnl
C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak.
CoRR
Congxi Xiao, Jingbo Zhou, Jizhou Huang, An Zhuo, Ji Liu, Haoyi Xiong, Dejing Dou
2020 J jnl
COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization.
CoRR
Xingjian Li, Haoyi Xiong, Haozhe An, Dejing Dou, Chengzhong Xu
2020 — conf
Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition.
ECCV (24)
Di Hu, Xuhong Li, Lichao Mou, Pu Jin, Dong Chen, Liping Jing, Xiaoxiang Zhu, Dejing Dou
2020 J jnl
Cross-Task Transfer for Multimodal Aerial Scene Recognition.
CoRR
Di Hu, Xuhong Li, Lichao Mou, Pu Jin, Dong Chen, Liping Jing, Xiaoxiang Zhu, Dejing Dou
2020 J jnl
Curriculum Audiovisual Learning.
CoRR
Di Hu, Zheng Wang, Haoyi Xiong, Dong Wang, Feiping Nie, Dejing Dou
2020 A* conf
Discriminative Sounding Objects Localization via Self-supervised Audiovisual Matching.
NeurIPS
Di Hu, Rui Qian, Minyue Jiang, Xiao Tan, Shilei Wen, Errui Ding, Weiyao Lin, Dejing Dou
2020 J jnl
Discriminative Sounding Objects Localization via Self-supervised Audiovisual Matching.
CoRR
Di Hu, Rui Qian, Minyue Jiang, Xiao Tan, Shilei Wen, Errui Ding, Weiyao Lin, Dejing Dou
2020 J jnl
Distance-aware Molecule Graph Attention Network for Drug-Target Binding Affinity Prediction.
CoRR
Jingbo Zhou, Shuangli Li, Liang Huang, Haoyi Xiong, Fan Wang, Tong Xu, Hui Xiong, Dejing Dou
2020 B conf
Exploiting Node Content for Multiview Graph Convolutional Network and Adversarial Regularization.
COLING
Qiuhao Lu, Nisansa de Silva, Dejing Dou, Thien Huu Nguyen, Prithviraj Sen, Berthold Reinwald, Yunyao Li
2020 A* conf
Exploiting the Syntax-Model Consistency for Neural Relation Extraction.
ACL
Amir Pouran Ben Veyseh, Franck Dernoncourt, Dejing Dou, Thien Huu Nguyen
2020 A* conf
Generating Person Images with Appearance-aware Pose Stylizer.
IJCAI
Siyu Huang, Haoyi Xiong, Zhi-Qi Cheng, Qingzhong Wang, Xingran Zhou, Bihan Wen, Jun Huan, Dejing Dou
2020 J jnl
Generating Person Images with Appearance-aware Pose Stylizer.
CoRR
Siyu Huang, Haoyi Xiong, Zhi-Qi Cheng, Qingzhong Wang, Xingran Zhou, Bihan Wen, Jun Huan, Dejing Dou
2020 — conf
Improving Aspect-based Sentiment Analysis with Gated Graph Convolutional Networks and Syntax-based Regulation.
EMNLP (Findings)
Amir Pouran Ben Veyseh, Nasim Nouri, Franck Dernoncourt, Quan Hung Tran, Dejing Dou, Thien Huu Nguyen
2020 J jnl
Improving Aspect-based Sentiment Analysis with Gated Graph Convolutional Networks and Syntax-based Regulation.
CoRR
Amir Pouran Ben Veyseh, Nasim Nouri, Franck Dernoncourt, Quan Hung Tran, Dejing Dou, Thien Huu Nguyen
2020 — conf
Introducing Syntactic Structures into Target Opinion Word Extraction with Deep Learning.
EMNLP (1)
Amir Pouran Ben Veyseh, Nasim Nouri, Franck Dernoncourt, Dejing Dou, Thien Huu Nguyen
2020 J jnl
Introducing Syntactic Structures into Target Opinion Word Extraction with Deep Learning.
CoRR
Amir Pouran Ben Veyseh, Nasim Nouri, Franck Dernoncourt, Dejing Dou, Thien Huu Nguyen
2020 J jnl
Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks.
CoRR
Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong, Dejing Dou
2020 J jnl
Label-guided Learning for Text Classification.
CoRR
Xien Liu, Song Wang, Xiao Zhang, Xinxin You, Ji Wu, Dejing Dou
2020 A* conf
Learning Conceptual-Contextual Embeddings for Medical Text.
AAAI
Xiao Zhang, Dejing Dou, Ji Wu
2020 J jnl
Measuring Information Transfer in Neural Networks.
CoRR
Xiao Zhang, Xingjian Li, Dejing Dou, Ji Wu
2020 A* conf
Multi-View Consistency for Relation Extraction via Mutual Information and Structure Prediction.
AAAI
Amir Pouran Ben Veyseh, Franck Dernoncourt, My Tra Thai, Dejing Dou, Thien Huu Nguyen
2020 A conf
Neighbours Matter: Image Captioning with Similar Images.
BMVC
Qingzhong Wang, Jiuniu Wang, Antoni B. Chan, Siyu Huang, Haoyi Xiong, Xingjian Li, Dejing Dou
2020 B conf
Ontology-based Interpretable Machine Learning for Textual Data.
IJCNN
Phung Lai, NhatHai Phan, Han Hu, Anuja Badeti, David Newman, Dejing Dou
2020 J jnl
Ontology-based Interpretable Machine Learning for Textual Data.
CoRR
Phung Lai, NhatHai Phan, Han Hu, Anuja Badeti, David Newman, Dejing Dou
2020 J jnl
Parameter-Free Style Projection for Arbitrary Style Transfer.
CoRR
Siyu Huang, Haoyi Xiong, Tianyang Wang, Qingzhong Wang, Zeyu Chen, Jun Huan, Dejing Dou
2020 A* conf
Pay Attention to Features, Transfer Learn Faster CNNs.
ICLR
Kafeng Wang, Xitong Gao, Yiren Zhao, Xingjian Li, Dejing Dou, Cheng-Zhong Xu
2020 — conf
Quasi-optimal Data Placement for Secure Multi-tenant Data Federation on the Cloud.
IEEE BigData
Qi Kang, Ji Liu, Sijia Yang, Haoyi Xiong, Haozhe An, Xingjian Li, Zhi Feng, Licheng Wang, Dejing Dou
2020 A* conf
RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr.
ICML
Xingjian Li, Haoyi Xiong, Haozhe An, Cheng-Zhong Xu, Dejing Dou
2020 J jnl
RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr.
CoRR
Xingjian Li, Haoyi Xiong, Haozhe An, Chengzhong Xu, Dejing Dou
2020 J jnl
Representation Transfer by Optimal Transport.
CoRR
Xuhong Li, Yves Grandvalet, Rémi Flamary, Nicolas Courty, Dejing Dou
2020 A* conf
Rethinking Local Community Detection: Query Nodes Replacement.
ICDM
Yuchen Bian, Jun Huan, Dejing Dou, Xiang Zhang
2020 A* conf
Robust Meta Network Embedding against Adversarial Attacks.
ICDM
Yang Zhou, Jiaxiang Ren, Dejing Dou, Ruoming Jin, Jingyi Zheng, Kisung Lee
2020 A* conf
Scalable Differential Privacy with Certified Robustness in Adversarial Learning.
ICML
NhatHai Phan, My T. Thai, Han Hu, Ruoming Jin, Tong Sun, Dejing Dou
2020 J jnl
Temporal Relational Modeling with Self-Supervision for Action Segmentation.
CoRR
Dong Wang, Di Hu, Xingjian Li, Dejing Dou
2020 J jnl
Towards Accurate Knowledge Transfer via Target-awareness Representation Disentanglement.
CoRR
Xingjian Li, Di Hu, Xuhong Li, Haoyi Xiong, Zhi Ye, Zhipeng Wang, Chengzhong Xu, Dejing Dou
2020 — conf
Unsupervised Multiple Network Alignment with Multinominal GAN and Variational Inference.
IEEE BigData
Yang Zhou, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Dejing Dou, Da Yan
2020 J jnl
XMixup: Efficient Transfer Learning with Auxiliary Samples by Cross-domain Mixup.
CoRR
Xingjian Li, Haoyi Xiong, Haozhe An, Chengzhong Xu, Dejing Dou
2019 J jnl
A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency.
CoRR
Amir Pouran Ben Veyseh, Franck Dernoncourt, Dejing Dou, Thien Huu Nguyen
2019 — conf
An Ensemble Deep Learning Model for Drug Abuse Detection in Sparse Twitter-Sphere.
MedInfo
Han Hu, NhatHai Phan, James Geller, Stephen Iezzi, Huy T. Vo, Dejing Dou, Soon Ae Chun
2019 J jnl
An Ensemble Deep Learning Model for Drug Abuse Detection in Sparse Twitter-Sphere.
CoRR
Han Hu, NhatHai Phan, James Geller, Stephen Iezzi, Huy T. Vo, Dejing Dou, Soon Ae Chun
2019 Misc conf
An Overview of Utilizing Knowledge Bases in Neural Networks for Question Answering.
IRI
Sabin Kafle, Nisansa de Silva, Dejing Dou
2019 — conf
Delta Embedding Learning.
ACL (1)
Xiao Zhang, Ji Wu, Dejing Dou
2019 J jnl
Does Interpretability of Neural Networks Imply Adversarial Robustness?
CoRR
Adam Noack, Isaac Ahern, Dejing Dou, Boyang Li
2019 — conf
DrugTracker: A Community-focused Drug Abuse Monitoring and Supporting System using Social Media and Geospatial Data (Demo Paper).
SIGSPATIAL/GIS
Han Hu, NhatHai Phan, Xinyue Ye, Ruoming Jin, Kele Ding, Dejing Dou, Huy T. Vo
2019 A* conf
Dual Adversarial Learning Based Network Alignment.
ICDM
Jiaxiang Ren, Yang Zhou, Ruoming Jin, Zijie Zhang, Dejing Dou, Pengwei Wang
2019 — conf
Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures.
ACL (1)
Amir Pouran Ben Veyseh, Thien Huu Nguyen, Dejing Dou
2019 J jnl
Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures.
CoRR
Amir Pouran Ben Veyseh, Thien Huu Nguyen, Dejing Dou
2019 A* conf
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness.
IJCAI
NhatHai Phan, Minh N. Vu, Yang Liu, Ruoming Jin, Dejing Dou, Xintao Wu, My T. Thai
2019 J jnl
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness.
CoRR
NhatHai Phan, Minh N. Vu, Yang Liu, Ruoming Jin, Dejing Dou, Xintao Wu, My T. Thai
2019 J jnl
Improving Adversarial Robustness via Attention and Adversarial Logit Pairing.
CoRR
Dou Goodman, Xingjian Li, Ji Liu, Dejing Dou, Tao Wei
2019 A* conf
Improving Cross-Domain Performance for Relation Extraction via Dependency Prediction and Information Flow Control.
IJCAI
Amir Pouran Ben Veyseh, Thien Huu Nguyen, Dejing Dou
2019 J jnl
Improving Cross-Domain Performance for Relation Extraction via Dependency Prediction and Information Flow Control.
CoRR
Amir Pouran Ben Veyseh, Thien Huu Nguyen, Dejing Dou
2019 — conf
Integrating Local Vertex/Edge Embedding via Deep Matrix Fusion and Siamese Multi-label Classification.
IEEE BigData
Yang Zhou, Chao Jiang, Zijie Zhang, Dejing Dou, Ruoming Jin, Pengwei Wang
2019 J jnl
Learning Conceptual-Contexual Embeddings for Medical Text.
CoRR
Xiao Zhang, Dejing Dou, Ji Wu
2019 — conf
Learning Electronic Health Records through Hyperbolic Embedding of Medical Ontologies.
BCB
Qiuhao Lu, Nisansa de Silva, Sabin Kafle, Jiazhen Cao, Dejing Dou, Thien Huu Nguyen, Prithviraj Sen, Brent Hailpern, Berthold Reinwald, Yunyao Li
2019 J jnl
Logic Rules Powered Knowledge Graph Embedding.
CoRR
Pengwei Wang, Dejing Dou, Fangzhao Wu, Nisansa de Silva, Lianwen Jin
2019 J jnl
NormLime: A New Feature Importance Metric for Explaining Deep Neural Networks.
CoRR
Isaac Ahern, Adam Noack, Luis Guzman-Nateras, Dejing Dou, Boyang Li, Jun Huan
2019 J jnl
Preserving Differential Privacy in Adversarial Learning with Provable Robustness.
CoRR
NhatHai Phan, Ruoming Jin, My T. Thai, Han Hu, Dejing Dou
2019 B conf
Rumor detection in social networks via deep contextual modeling.
ASONAM
Amir Pouran Ben Veyseh, My T. Thai, Thien Huu Nguyen, Dejing Dou
2019 J jnl
Searching for Stage-wise Neural Graphs In the Limit.
CoRR
Xin Zhou, Dejing Dou, Boyang Li
2019 — conf
Semantic Oppositeness Embedding Using an Autoencoder-Based Learning Model.
DEXA (1)
Nisansa de Silva, Dejing Dou
2019 — conf
Semi-supervised Classification-based Local Vertex Ranking via Dual Generative Adversarial Nets.
IEEE BigData
Yang Zhou, Jiaxiang Ren, Sixing Wu, Dejing Dou, Ruoming Jin, Zijie Zhang, Pengwei Wang
2018 J jnl
Concept and Attention-Based CNN for Question Retrieval in Multi-View Learning.
ACM Trans. Intell. Syst. Technol.
Pengwei Wang, Lei Ji, Jun Yan, Dejing Dou, Nisansa de Silva, Yong Zhang, Lianwen Jin
2018 A* conf
Density-Adaptive Local Edge Representation Learning with Generative Adversarial Network Multi-label Edge Classification.
ICDM
Yang Zhou, Sixing Wu, Chao Jiang, Zijie Zhang, Dejing Dou, Ruoming Jin, Pengwei Wang
2018 — conf
Density-aware Local Siamese Autoencoder Network Embedding with Autoencoder Graph Clustering.
IEEE BigData
Yang Zhou, Amnay Amimeur, Chao Jiang, Dejing Dou, Ruoming Jin, Pengwei Wang
2018 — conf
HotFlip: White-Box Adversarial Examples for Text Classification.
ACL (2)
Javid Ebrahimi, Anyi Rao, Daniel Lowd, Dejing Dou
2018 B conf
On Adversarial Examples for Character-Level Neural Machine Translation.
COLING
Javid Ebrahimi, Daniel Lowd, Dejing Dou
2018 J jnl
On Adversarial Examples for Character-Level Neural Machine Translation.
CoRR
Javid Ebrahimi, Daniel Lowd, Dejing Dou
2018 B conf
Recursive Structure Similarity: A Novel Algorithm for Graph Clustering.
ICTAI
Yixin Fang, Ruoming Jin, Wei Xiong, Xiaoning Qian, Dejing Dou, Hai Phan
2017 A conf
A Temporal Attentional Model for Rumor Stance Classification.
CIKM
Amir Pouran Ben Veyseh, Javid Ebrahimi, Dejing Dou, Daniel Lowd
2017 A* conf
Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning.
ICDM
NhatHai Phan, Xintao Wu, Han Hu, Dejing Dou
2017 J jnl
Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning.
CoRR
NhatHai Phan, Xintao Wu, Han Hu, Dejing Dou
2017 — conf
Discovering Inconsistencies in PubMed Abstracts through Ontology-Based Information Extraction.
BCB
Nisansa de Silva, Dejing Dou, Jingshan Huang
2017 J jnl
HotFlip: White-Box Adversarial Examples for NLP.
CoRR
Javid Ebrahimi, Anyi Rao, Daniel Lowd, Dejing Dou
2017 J jnl
Online Reasoning for Semantic Error Detection in Text.
J. Data Semant.
Fernando Gutierrez, Dejing Dou, Nisansa de Silva, Stephen Fickas
2017 J jnl
Ontology-based deep learning for human behavior prediction with explanations in health social networks.
Inf. Sci.
NhatHai Phan, Dejing Dou, Hao Wang, David Kil, Brigitte Piniewski
2017 J jnl
Preserving Differential Privacy in Convolutional Deep Belief Networks.
CoRR
NhatHai Phan, Xintao Wu, Dejing Dou
2017 J jnl
Preserving differential privacy in convolutional deep belief networks.
Mach. Learn.
NhatHai Phan, Xintao Wu, Dejing Dou
2017 — conf
Semantics-oriented data science and computational life sciences: Innovative application of semantic technologies in microRNA and lncRNA research.
ICCABS
Jingshan Huang, Dejing Dou, Ming Tan, Glen M. Borchert, Karen Eilbeck, Alan Ruttenberg, Ping Yang
2017 C conf
Time-Sensitive Behavior Prediction in a Health Social Network.
ICMLA
Amnay Amimeur, NhatHai Phan, Dejing Dou, David Kil, Brigitte Piniewski
2016 B conf
A Heterogeneous Clustering Approach for Human Activity Recognition.
DaWaK
Sabin Kafle, Dejing Dou
2016 B conf
A Joint Sentiment-Target-Stance Model for Stance Classification in Tweets.
COLING
Javid Ebrahimi, Dejing Dou, Daniel Lowd
2016 A* conf
A Probabilistic Approach to Knowledge Translation.
AAAI
Shangpu Jiang, Daniel Lowd, Dejing Dou
2016 — conf
A comprehensive (biological and computational) investigation on the role of microRNA: : mRNA regulations performed in chronic obstructive pulmonary disease and lung cancer.
BIBM
Jingshan Huang, Dejing Dou, Jun She, Andrew H. Limper, Yanan Yang, Ping Yang
2016 J jnl
A deep learning approach for human behavior prediction with explanations in health social networks: social restricted Boltzmann machine (SRBM+).
Soc. Netw. Anal. Min.
NhatHai Phan, Dejing Dou, Brigitte Piniewski, David Kil
2016 J jnl
A hybrid ontology-based information extraction system.
J. Inf. Sci.
Fernando Gutierrez, Dejing Dou, Stephen Fickas, Daya C. Wimalasuriya, Hui Zong
2016 — conf
Characterizing Physical Activity in a Health Social Network.
Digital Health
Javid Ebrahimi, NhatHai Phan, Dejing Dou, Brigitte Piniewski, David Kil
2016 A* conf
Differential Privacy Preservation for Deep Auto-Encoders: an Application of Human Behavior Prediction.
AAAI
NhatHai Phan, Yue Wang, Xintao Wu, Dejing Dou
2016 J jnl
Dynamic socialized Gaussian process models for human behavior prediction in a health social network.
Knowl. Inf. Syst.
Yelong Shen, NhatHai Phan, Xiao Xiao, Ruoming Jin, Junfeng Sun, Brigitte Piniewski, David Kil, Dejing Dou
2016 C conf
Interaction Network Representations for Human Behavior Prediction.
ICMLA
Amnay Amimeur, NhatHai Phan, Dejing Dou, David Kil, Brigitte Piniewski
2016 J jnl
OmniSearch: a semantic search system based on the Ontology for MIcroRNA Target (OMIT) for microRNA-target gene interaction data.
J. Biomed. Semant.
Jingshan Huang, Fernando Gutierrez, Harrison J. Strachan, Dejing Dou, Weili Huang, Barry Smith, Judith A. Blake, Karen Eilbeck, Darren A. Natale, Yu Lin, Bin Wu, Nisansa de Silva, Xiaowei Wang, Zixing Liu, Glen M. Borchert, Ming Tan, Alan Ruttenberg
2016 J jnl
Ontology Matching with Knowledge Rules.
Trans. Large Scale Data Knowl. Centered Syst.
Shangpu Jiang, Daniel Lowd, Sabin Kafle, Dejing Dou
2016 — conf
Ontology-Based Deep Restricted Boltzmann Machine.
DEXA (1)
Hao Wang, Dejing Dou, Daniel Lowd
2016 A conf
Personalized Semantic Word Vectors.
CIKM
Javid Ebrahimi, Dejing Dou
2016 J jnl
The Non-Coding RNA Ontology (NCRO): a comprehensive resource for the unification of non-coding RNA biology.
J. Biomed. Semant.
Jingshan Huang, Karen Eilbeck, Barry Smith, Judith A. Blake, Dejing Dou, Weili Huang, Darren A. Natale, Alan Ruttenberg, Jun Huan, Michael T. Zimmermann, Guoqian Jiang, Yu Lin, Bin Wu, Harrison J. Strachan, Yongqun He, Shaojie Zhang, Xiaowei Wang, Zixing Liu, Glen M. Borchert, Ming Tan
2016 J jnl
The development of non-coding RNA ontology.
Int. J. Data Min. Bioinform.
Jingshan Huang, Karen Eilbeck, Barry Smith, Judith A. Blake, Dejing Dou, Weili Huang, Darren A. Natale, Alan Ruttenberg, Jun Huan, Michael T. Zimmermann, Guoqian Jiang, Yu Lin, Bin Wu, Harrison J. Strachan, Nisansa de Silva, Mohan Vamsi Kasukurthi, Vikash Kumar Jha, Yongqun He, Shaojie Zhang, Xiaowei Wang, Zixing Liu, Glen M. Borchert, Ming Tan
2016 J jnl
Topic-Aware Physical Activity Propagation in a Health Social Network.
IEEE Intell. Syst.
NhatHai Phan, Javid Ebrahimi, David Kil, Brigitte Piniewski, Dejing Dou
2016 J jnl
Topic-Aware Physical Activity Propagation with Temporal Dynamics in a Health Social Network.
ACM Trans. Intell. Syst. Technol.
NhatHai Phan, Javid Ebrahimi, David Kil, Brigitte Piniewski, Dejing Dou
2016 A* conf
Weakly Supervised Tweet Stance Classification by Relational Bootstrapping.
EMNLP
Javid Ebrahimi, Dejing Dou, Daniel Lowd
2015 J jnl
A Probabilistic Approach to Knowledge Translation.
CoRR
Shangpu Jiang, Daniel Lowd, Dejing Dou
2015 — conf
A domain ontology for the Non-Coding RNA field.
BIBM
Jingshan Huang, Karen Eilbeck, Judith A. Blake, Dejing Dou, Darren A. Natale, Alan Ruttenberg, Barry Smith, Michael T. Zimmermann, Guoqian Jiang, Yu Lin, Bin Wu, Yongqun He, Shaojie Zhang, Xiaowei Wang, He Zhang, Zixing Liu, Ming Tan
2015 — conf
A semantic approach for knowledge capture of MIcroRNA-Target gene interactions.
BIBM
Jingshan Huang, Fernando Gutierrez, Dejing Dou, Judith A. Blake, Karen Eilbeck, Darren A. Natale, Barry Smith, Yu Lin, Xiaowei Wang, Zixing Liu, Ming Tan, Alan Ruttenberg
2015 J jnl
Analysis and Prediction of User Editing Patterns in Ontology Development Projects.
J. Data Semant.
Hao Wang, Tania Tudorache, Dejing Dou, Natalya Fridman Noy, Mark A. Musen
2015 — conf
Chain Based RNN for Relation Classification.
HLT-NAACL
Javid Ebrahimi, Dejing Dou
2015 — conf
Mining Strongly Correlated Intervals with Hypergraphs.
DEXA (2)
Hao Wang, Dejing Dou, Yue Fang, Yongli Zhang
2015 — conf
Ontology Matching with Knowledge Rules.
DEXA (1)
Shangpu Jiang, Daniel Lowd, Dejing Dou
2015 J jnl
Ontology Matching with Knowledge Rules.
CoRR
Shangpu Jiang, Daniel Lowd, Dejing Dou
2015 — conf
Ontology-based deep learning for human behavior prediction in health social networks.
BCB
NhatHai Phan, Dejing Dou, Hao Wang, David Kil, Brigitte Piniewski
2015 — conf
Semantic data mining: A survey of ontology-based approaches.
ICSC
Dejing Dou, Hao Wang, Haishan Liu
2015 B conf
Social Restricted Boltzmann Machine: Human Behavior Prediction in Health Social Networks.
ASONAM
NhatHai Phan, Dejing Dou, Brigitte Piniewski, David Kil
2015 J jnl
Special Issue on: Twelfth International Conference on Ontologies, Databases, and Applications of Semantics.
J. Data Semant.
Dejing Dou, Pieter De Leenheer
2014 A conf
Analysis of Physical Activity Propagation in a Health Social Network.
CIKM
NhatHai Phan, Dejing Dou, Xiao Xiao, Brigitte Piniewski, David Kil
2014 — conf
Online Reasoning for Ontology-Based Error Detection in Text.
OTM Conferences
Fernando Gutierrez, Dejing Dou, Stephen Fickas, Gina Griffiths
2013 — conf
Analysis of User Editing Patterns in Ontology Development Projects.
OTM Conferences
Hao Wang, Tania Tudorache, Dejing Dou, Natalya Fridman Noy, Mark A. Musen
2013 — conf
Hybrid Ontology-Based Information Extraction for Automated Text Grading.
ICMLA (1)
Fernando Gutierrez, Dejing Dou, Adam Martini, Stephen Fickas, Hui Zong
2013 — conf
Mining Biomedical Ontologies and Data Using RDF Hypergraphs.
ICMLA (1)
Haishan Liu, Dejing Dou, Ruoming Jin, Paea LePendu, Nigam Shah
2013 — conf
ODBASE 2013 PC Co-Chairs Message.
OTM Conferences
Pieter De Leenheer, Dejing Dou
2013 — conf
ODBASE 2013 PC Co-Chairs Message.
OTM Workshops
Pieter De Leenheer, Dejing Dou
2013 — ed.
On the Move to Meaningful Internet Systems: OTM 2013 Conferences - Confederated International Conferences: CoopIS, DOA-Trusted Cloud, and ODBASE 2013, Graz, Austria, September 9-13, 2013. Proceedings
OTM Conferences
Robert Meersman, Hervé Panetto, Tharam S. Dillon, Johann Eder, Zohra Bellahsene, Norbert Ritter, Pieter De Leenheer, Dejing Dou
2012 — conf
An ontology-based MicroRNA knowledge sharing and acquisition framework.
BIBM Workshops
Jingshan Huang, Xingyu Lu, Dejing Dou, William T. Gerthoffer, Jiangbo Dang, Judith A. Blake, Ming Tan
2012 J jnl
Breaking the Deadlock: Simultaneously Discovering Attribute Matching and Cluster Matching with Multi-Objective Metaheuristics.
J. Data Semant.
Haishan Liu, Dejing Dou, Hao Wang
2012 — conf
Evaluating Ontology Matchers Using Arbitrary Ontologies and Human Generated Heterogeneities.
OTM Conferences (2)
Nafisa Afrin Chowdhury, Dejing Dou
2012 A* conf
Learning to Refine an Automatically Extracted Knowledge Base Using Markov Logic.
ICDM
Shangpu Jiang, Daniel Lowd, Dejing Dou
2012 A conf
Providing grades and feedback for student summaries by ontology-based information extraction.
CIKM
Fernando Gutierrez, Dejing Dou, Stephen Fickas, Gina Griffiths
2012 J jnl
Sharing and integration of cognitive neuroscience data: Metric and pattern matching across heterogeneous ERP datasets.
Neurocomputing
Haishan Liu, Gwen A. Frishkoff, Robert M. Frank, Dejing Dou
2012 A* conf
Socialized Gaussian Process Model for Human Behavior Prediction in a Health Social Network.
ICDM
Yelong Shen, Ruoming Jin, Dejing Dou, Nafisa Afrin Chowdhury, Junfeng Sun, Brigitte Piniewski, David Kil
2012 — conf
Using Markov Logic to Refine an Automatically Extracted Knowledge Base.
StarAI@UAI
Shangpu Jiang, Daniel Lowd, Dejing Dou
2011 C ed.
30th IEEE International Performance Computing and Communications Conference, IPCCC 2011, Orlando, Florida, USA, November 17-19, 2011
IPCCC
Sheng Zhong, Dejing Dou, Yu Wang
2011 A* conf
A Hypergraph-based Method for Discovering Semantically Associated Itemsets.
ICDM
Haishan Liu, Paea LePendu, Ruoming Jin, Dejing Dou
2011 — conf
Breaking the Deadlock: Simultaneously Discovering Attribute Matching and Cluster Matching with Multi-Objective Simulated Annealing.
OTM Conferences (2)
Haishan Liu, Dejing Dou
2011 A* conf
Calculating Feature Weights in Naive Bayes with Kullback-Leibler Measure.
ICDM
Chang-Hwan Lee, Fernando Gutierrez, Dejing Dou
2011 — conf
Improving the Accuracy of Ontology Alignment through Ensemble Fuzzy Clustering.
OTM Conferences (2)
Nafisa Afrin Chowdhury, Dejing Dou
2011 — conf
Semantic Translation for Rule-Based Knowledge in Data Mining.
DEXA (2)
Dejing Dou, Han Qin, Haishan Liu
2011 — conf
Using Information Extractors with the Neural ElectroMagnetic Ontologies.
OTM Workshops
Fernando Gutierrez, Daya C. Wimalasuriya, Dejing Dou
2011 J jnl
Using ontology databases for scalable query answering, inconsistency detection, and data integration.
J. Intell. Inf. Syst.
Paea LePendu, Dejing Dou
2010 A conf
Components for information extraction: ontology-based information extractors and generic platforms.
CIKM
Daya C. Wimalasuriya, Dejing Dou
2010 A* conf
Financial Forecasting with Gompertz Multiple Kernel Learning.
ICDM
Han Qin, Dejing Dou, Yue Fang
2010 — conf
NeuMORE: Ontology in stroke recovery.
BIBM Workshops
Christopher Townsend, Jingshan Huang, Dejing Dou, Haishan Liu, Lei He, Patrick J. Hayes, Robert Rudnick, Hardik Shah, Dennis Fell, Wei Liu
2010 — conf
OMIT: Domain Ontology and Knowledge Acquisition in MicroRNA Target Prediction - (Short Paper).
OTM Conferences (2)
Christopher Townsend, Jingshan Huang, Dejing Dou, Shivraj Dalvi, Patrick J. Hayes, Lei He, Wen-Chang Lin, Haishan Liu, Robert Rudnick, Hardik Shah
2010 J jnl
Ontograte: towards Automatic Integration for Relational Databases and the Semantic Web through an Ontology-Based Framework.
Int. J. Semantic Comput.
Dejing Dou, Han Qin, Paea LePendu
2010 — conf
Ontology for MicroRNA Target prediction in human cancer.
BCB
Jingshan Huang, Ming Tan, Dejing Dou, Lei He, Christopher Townsend, Patrick J. Hayes
2010 — conf
Ontology-Based Mining of Brainwaves: A Sequence Similarity Technique for Mapping Alternative Features in Event-Related Potentials (ERP) Data.
PAKDD (2)
Haishan Liu, Gwen A. Frishkoff, Robert M. Frank, Dejing Dou
2010 J jnl
Ontology-based information extraction: An introduction and a survey of current approaches.
J. Inf. Sci.
Daya C. Wimalasuriya, Dejing Dou
2010 — conf
Ontology-based knowledge acquisition for neuromotor functional recovery in stroke.
BIBM Workshops
Christopher Townsend, Jingshan Huang, Dejing Dou, Haishan Liu, Lei He, Patrick J. Hayes, Robert Rudnick, Hardik Shah, Dennis Fell, Wei Liu
2010 — conf
Ontology-based knowledge discovery and sharing in bioinformatics and medical informatics: A brief survey.
FSKD
Jingshan Huang, Dejing Dou, Lei He, Patrick J. Hayes, Jiangbo Dang
2009 — conf
Detecting Inconsistencies in the Gene Ontology Using Ontology Databases with Not-gadgets.
OTM Conferences (2)
Paea LePendu, Dejing Dou, Douglas G. Howe
2009 A conf
Using multiple ontologies in information extraction.
CIKM
Daya C. Wimalasuriya, Dejing Dou
2008 B conf
Ontology Database: A New Method for Semantic Modeling and an Application to Brainwave Data.
SSDBM
Paea LePendu, Dejing Dou, Gwen A. Frishkoff, Jiawei Rong
2007 J jnl
A Framework to Support Automated Classification and Labeling of Brain Electromagnetic Patterns.
Comput. Intell. Neurosci.
Gwen A. Frishkoff, Robert M. Frank, Jiawei Rong, Dejing Dou, Joseph Dien, Laura K. Halderman
2007 — conf
A Semi-Automatic Framework for Mining ERP Patterns.
AINA Workshops (1)
Jiawei Rong, Dejing Dou, Gwen A. Frishkoff, Robert M. Frank, Allen D. Malony, Don M. Tucker
2007 B conf
Clustering Zebrafish Genes Based on Frequent-Itemsets and Frequency Levels.
PAKDD
Daya C. Wimalasuriya, Sridhar Ramachandran, Dejing Dou
2007 — conf
Constructing a User Preference Ontology for Anti-spam Mail Systems.
Canadian AI
Jongwan Kim, Dejing Dou, Haishan Liu, Donghwi Kwak
2007 A* conf
Development of NeuroElectroMagnetic ontologies(NEMO): a framework for mining brainwave ontologies.
KDD
Dejing Dou, Gwen A. Frishkoff, Jiawei Rong, Robert M. Frank, Allen D. Malony, Don M. Tucker
2007 — conf
Discovering Executable Semantic Mappings Between Ontologies.
OTM Conferences (1)
Han Qin, Dejing Dou, Paea LePendu
2007 Misc conf
On Knowledge-Based Classification of Abnormal BGP Events.
ICISS
Jun Li, Dejing Dou, Shiwoong Kim, Han Qin, Yibo Wang
2007 A conf
Understanding and Utilizing the Hierarchy of Abnormal BGP Events.
SDM
Dejing Dou, Jun Li, Han Qin, Shiwoong Kim, Sheng Zhong
2006 A conf
Deriving axioms across ontologies.
AAMAS
Dejing Dou, Drew V. McDermott
2006 — conf
Integrating Databases into the Semantic Web through an Ontology-Based Framework.
ICDE Workshops
Dejing Dou, Paea LePendu, Shiwoong Kim, Peishen Qi
2006 Misc conf
Ontology-based integration for relational databases.
SAC
Dejing Dou, Paea LePendu
2006 — conf
Towards Theory Translation.
DALT
Dejing Dou, Drew V. McDermott
2005 J jnl
An internet routing forensics framework for discovering rules of abnormal BGP events.
Comput. Commun. Rev.
Jun Li, Dejing Dou, Zhen Wu, Shiwoong Kim, Vikash Agarwal
2005 J jnl
Ontology Translation on the Semantic Web.
J. Data Semant.
Dejing Dou, Drew V. McDermott, Peishen Qi
2005 — conf
Ontology-Based Integration for Relational Data.
OTM Workshops
Dejing Dou, Paea LePendu
2003 — conf
Ontology Translation on the Semantic Web.
OTM
Dejing Dou, Drew V. McDermott, Peishen Qi
2002 Misc conf
Representing Disjunction and Quantifiers in RDF.
ISWC
Drew V. McDermott, Dejing Dou