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Aidong Zhang
Person information

- affiliation: University of Virginia, Charlottesville, VA, USA
- affiliation (former): University at Buffalo, USA
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2020 – today
- 2022
- [j109]Kishlay Jha
, Aidong Zhang:
Continual knowledge infusion into pre-trained biomedical language models. Bioinform. 38(2): 494-502 (2022) - [j108]Qiujun Huang
, Yicheng Yu, Kai Zhang, Shengquan Li
, Haibo Lu, Jisen Li, Aidong Zhang, Tao Mei:
Optimal synthesis of mechanisms using repellency evolutionary algorithm. Knowl. Based Syst. 239: 107928 (2022) - [j107]Mengdi Huai
, Tianhang Zheng, Chenglin Miao, Liuyi Yao
, Aidong Zhang:
On the Robustness of Metric Learning: An Adversarial Perspective. ACM Trans. Knowl. Discov. Data 16(5): 95:1-95:25 (2022) - [j106]Jinduo Liu
, Junzhong Ji
, Guangxu Xun
, Aidong Zhang
:
Inferring Effective Connectivity Networks From fMRI Time Series With a Temporal Entropy-Score. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5993-6006 (2022) - [c264]Mengdi Huai, Jinduo Liu, Chenglin Miao, Liuyi Yao, Aidong Zhang:
Towards Automating Model Explanations with Certified Robustness Guarantees. AAAI 2022: 6935-6943 - [c263]Guangtao Zheng, Aidong Zhang:
Knowledge-Guided Semantics Adjustment for Improved Few-Shot Classification. ICDM 2022: 1347-1352 - [c262]Jiayi Chen, Aidong Zhang:
FedMSplit: Correlation-Adaptive Federated Multi-Task Learning across Multimodal Split Networks. KDD 2022: 87-96 - [c261]Jianhui Sun, Mengdi Huai, Kishlay Jha, Aidong Zhang:
Demystify Hyperparameters for Stochastic Optimization with Transferable Representations. KDD 2022: 1706-1716 - [c260]Binghui Li, Caiming Sun, Aidong Zhang:
Liquid Waveguide Cladding for 2D Beam Steering of An Optical Phased Array at a Single Wavelength. OFC 2022: 1-3 - [c259]Caiming Sun, Binghui Li, Wu Shi, Jing Lin, Ning Ding, Aidong Zhang:
Theoretical Model and Validation for Broadband Optical Phased Arrays. OECC/PSC 2022: 1-3 - [c258]Hongfei Xue, Qiming Cao, Yan Ju, Haochen Hu, Haoyu Wang, Aidong Zhang, Lu Su:
M4esh: mmWave-Based 3D Human Mesh Construction for Multiple Subjects. SenSys 2022: 391-406 - [c257]Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li:
Learning Fair Node Representations with Graph Counterfactual Fairness. WSDM 2022: 695-703 - [c256]Jiayi Chen, Aidong Zhang:
Topological Transduction for Hybrid Few-shot Learning. WWW 2022: 3134-3142 - [e4]Aidong Zhang, Huzefa Rangwala:
KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022. ACM 2022, ISBN 978-1-4503-9385-0 [contents] - [i12]Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li:
Learning Fair Node Representations with Graph Counterfactual Fairness. CoRR abs/2201.03662 (2022) - [i11]Jing Ma, Ruocheng Guo, Saumitra Mishra, Aidong Zhang, Jundong Li:
CLEAR: Generative Counterfactual Explanations on Graphs. CoRR abs/2210.08443 (2022) - [i10]Sanchit Sinha, Mengdi Huai, Jianhui Sun, Aidong Zhang:
Understanding and Enhancing Robustness of Concept-based Models. CoRR abs/2211.16080 (2022) - 2021
- [j105]Kishlay Jha
, Guangxu Xun, Aidong Zhang:
Continual representation learning for evolving biomedical bipartite networks. Bioinform. 37(15): 2190-2197 (2021) - [j104]Erfaneh Gharavi, Aaron Gu, Guangtao Zheng, Jason P. Smith, Hyun Jae Cho, Aidong Zhang, Donald E. Brown, Nathan C. Sheffield
:
Embeddings of genomic region sets capture rich biological associations in lower dimensions. Bioinform. 37(23): 4299-4306 (2021) - [j103]Hongwu Zhu, Dong Wang, Nathan Boyd, Ziyi Zhou
, Lecheng Ruan, Aidong Zhang, Ning Ding, Ye Zhao, Jianwen Luo:
Terrain-Perception-Free Quadrupedal Spinning Locomotion on Versatile Terrains: Modeling, Analysis, and Experimental Validation. Frontiers Robotics AI 8: 724138 (2021) - [j102]Aidong Zhang
:
EIC Farewell and New EIC Introduction. IEEE ACM Trans. Comput. Biol. Bioinform. 18(6): 2057 (2021) - [j101]Guangxu Xun
, Kishlay Jha, Aidong Zhang:
MeSHProbeNet-P: Improving Large-scale MeSH Indexing with Personalizable MeSH Probes. ACM Trans. Knowl. Discov. Data 15(1): 11:1-11:14 (2021) - [j100]Liuyi Yao
, Zhixuan Chu, Sheng Li
, Yaliang Li, Jing Gao, Aidong Zhang:
A Survey on Causal Inference. ACM Trans. Knowl. Discov. Data 15(5): 74:1-74:46 (2021) - [j99]Xiaowei Jia, Xiaoyi Li, Nan Du, Yuan Zhang
, Vishrawas Gopalakrishnan
, Guangxu Xun
, Aidong Zhang
:
Tracking Community Consistency in Dynamic Networks: An Influence-Based Approach. IEEE Trans. Knowl. Data Eng. 33(2): 782-795 (2021) - [j98]Yingxin Shou
, Bin Xu
, Aidong Zhang, Tao Mei
:
Virtual Guidance-Based Coordinated Tracking Control of Multi-Autonomous Underwater Vehicles Using Composite Neural Learning. IEEE Trans. Neural Networks Learn. Syst. 32(12): 5565-5574 (2021) - [j97]Xiao Yu
, Ji Ma
, Ning Ding, Aidong Zhang:
Cooperative Target Enclosing Control of Multiple Mobile Robots Subject to Input Disturbances. IEEE Trans. Syst. Man Cybern. Syst. 51(6): 3440-3449 (2021) - [c255]Jiayi Chen, Aidong Zhang:
HetMAML: Task-Heterogeneous Model-Agnostic Meta-Learning for Few-Shot Learning Across Modalities. CIKM 2021: 191-200 - [c254]Liuyi Yao, Yaliang Li, Sheng Li, Mengdi Huai, Jing Gao, Aidong Zhang:
SCI: Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation. CIKM 2021: 3583-3587 - [c253]Weida Zhong, Qiuling Suo, Xiaowei Jia, Aidong Zhang, Lu Su:
Heterogeneous Spatio-Temporal Graph Convolution Network for Traffic Forecasting with Missing Values. ICDCS 2021: 707-717 - [c252]Jisen Li, Yuliang Yang, Yumei Zhang, Hua Zhu, Yongqi Li, Qiujun Huang, Haibo Lu, Shan He, Shengquan Li, Wei Zhang, Tao Mei, Feng Wu, Aidong Zhang:
Design of a deployable underwater robot for the recovery of autonomous underwater vehicles based on origami technique. ICRA 2021: 7013-7019 - [c251]Juan Chen, Caiming Sun, Aidong Zhang:
Autonomous Navigation for Adaptive Unmanned Underwater Vehicles Using Fiducial Markers. ICRA 2021: 9298-9304 - [c250]Heng Zhang
, Qiwen Wang, Chuliang Chi, Yongquan Chen, Zonggao Mu, Zheng Li, Yuanmin Lan, Aidong Zhang:
Design and Implementation of a Novel, Intrinsically Safe Rigid-Flexible Coupling Manipulator for COVID-19 Oropharyngeal Swab Sampling. ICRA 2021: 12282-12288 - [c249]Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li:
Multi-Cause Effect Estimation with Disentangled Confounder Representation. IJCAI 2021: 2790-2796 - [c248]Guangtao Zheng, Aidong Zhang:
Few-Shot Class-Incremental Learning with Meta-Learned Class Structures. ICDM (Workshops) 2021: 421-430 - [c247]Shusheng Ye, Jianwen Luo, Caiming Sun, Bingchen Jin, Juntong Su, Aidong Zhang:
Design of a Large-scale Electrically-actuated Quadruped Robot and Locomotion Control for the Narrow Passage. IROS 2021: 7424-7431 - [c246]Jianhui Sun, Ying Yang, Guangxu Xun, Aidong Zhang:
A Stagewise Hyperparameter Scheduler to Improve Generalization. KDD 2021: 1530-1540 - [c245]Kishlay Jha, Guangxu Xun, Nan Du, Aidong Zhang:
Knowledge-Guided Efficient Representation Learning for Biomedical Domain. KDD 2021: 3077-3085 - [c244]Hongfei Xue, Yan Ju, Chenglin Miao, Yijiang Wang, Shiyang Wang, Aidong Zhang, Lu Su:
mmMesh: towards 3D real-time dynamic human mesh construction using millimeter-wave. MobiSys 2021: 269-282 - [c243]Hongjie Wang, Caiming Sun, Lesi Yang, Xiaomin Nie, Binghui Li, Aidong Zhang:
Uniform emission of large-scale optical phase arrays with wide wavelength tuning. OFC 2021: 1-3 - [c242]Ganyu Deng, Jianwen Luo, Caiming Sun, Dongwei Pan, Longyao Peng, Ning Ding, Aidong Zhang:
Vision-based Navigation for a Small-scale Quadruped Robot Pegasus-Mini. ROBIO 2021: 893-900 - [c241]Bingchen Jin, Caiming Sun, Dingan Cheng, Shusheng Ye, Juntong Su, Aidong Zhang:
Fast and Compliant Whole Body Control for Gear-Driven Torque Sensorless Quadruped Robot Trotting. ROBIO 2021: 919-926 - [c240]Lu Chen, Zhengjia Zhu, Caiming Sun, Aidong Zhang:
An Efficient Lightweight 2D Driven 3D Detector for Underwater Robots Tracking. ROBIO 2021: 1103-1110 - [c239]Jing Ma, Ruocheng Guo, Chen Chen, Aidong Zhang, Jundong Li:
Deconfounding with Networked Observational Data in a Dynamic Environment. WSDM 2021: 166-174 - [i9]Jiayi Chen, Aidong Zhang:
HetMAML: Task-Heterogeneous Model-Agnostic Meta-Learning for Few-Shot Learning Across Modalities. CoRR abs/2105.07889 (2021) - [i8]Hongwu Zhu, Dong Wang, Ganyu Deng, Nathan Boyd, Ziyi Zhou, Lecheng Ruan, Caiming Sun, Aidong Zhang, Ning Ding, Ye Zhao, Jianwen Luo:
Terrain-perception-free Quadrupedal Spinning Locomotion on Versatile Terrains: Modeling, Analysis, and Experimental Validation. CoRR abs/2107.12479 (2021) - [i7]Bingchen Jin, Shusheng Ye, Juntong Su, Chaoyang Song, Ye Zhao, Aidong Zhang, Ning Ding, Jianwen Luo:
High-Payload Online Identification and Adaptive Control for an Electrically-actuated Quadruped Robot. CoRR abs/2107.12482 (2021) - [i6]Ganyu Deng, Jianwen Luo, Caiming Sun, Dongwei Pan, Longyao Peng, Ning Ding, Aidong Zhang:
Vision-based Navigation for a Small-scale Quadruped Robot Pegasus-Mini. CoRR abs/2110.04426 (2021) - 2020
- [j96]Rui Jiang, Caiming Sun, Long Zhang, Xinke Tang
, Hongjie Wang, Aidong Zhang:
Deep Learning Aided Signal Detection for SPAD-Based Underwater Optical Wireless Communications. IEEE Access 8: 20363-20374 (2020) - [j95]Xinke Tang
, Long Zhang, Caiming Sun, Zhen Chen, Hongjie Wang, Rui Jiang, Zhongyi Li, Wu Shi, Aidong Zhang:
Underwater Wireless Optical Communication Based on DPSK Modulation and Silicon Photomultiplier. IEEE Access 8: 204676-204683 (2020) - [j94]Hongfei Xue, Wenjun Jiang, Chenglin Miao
, Fenglong Ma, Shiyang Wang, Ye Yuan, Shuochao Yao, Aidong Zhang, Lu Su:
DeepMV: Multi-View Deep Learning for Device-Free Human Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(1): 34:1-34:26 (2020) - [j93]Xiao Yu
, Ning Ding, Aidong Zhang, Huihuan Qian
:
Cooperative Moving-Target Enclosing of Networked Vehicles With Constant Linear Velocities. IEEE Trans. Cybern. 50(2): 798-809 (2020) - [j92]Yuan Zhang
, Boyu Zhu, Yixin Fang, Suxin Guo, Aidong Zhang
, Sheng Zhong:
Secure Inter-Domain Forwarding Loop Test in Software Defined Networks. IEEE Trans. Dependable Secur. Comput. 17(1): 162-178 (2020) - [j91]Jinduo Liu
, Junzhong Ji
, Xiuqin Jia
, Aidong Zhang
:
Learning Brain Effective Connectivity Network Structure Using Ant Colony Optimization Combining With Voxel Activation Information. IEEE J. Biomed. Health Informatics 24(7): 2028-2040 (2020) - [j90]Mengdi Huai, Chenglin Miao
, Yaliang Li, Qiuling Suo, Lu Su, Aidong Zhang:
Learning Distance Metrics from Probabilistic Information. ACM Trans. Knowl. Discov. Data 14(5): 53:1-53:33 (2020) - [c238]Mengdi Huai, Di Wang, Chenglin Miao
, Jinhui Xu, Aidong Zhang:
Pairwise Learning with Differential Privacy Guarantees. AAAI 2020: 694-701 - [c237]Mengdi Huai, Di Wang, Chenglin Miao
, Aidong Zhang:
Towards Interpretation of Pairwise Learning. AAAI 2020: 4166-4173 - [c236]Jinduo Liu, Junzhong Ji, Guangxu Xun, Liuyi Yao, Mengdi Huai, Aidong Zhang:
EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks. AAAI 2020: 4852-4859 - [c235]Jingyuan Chou, Stefan Bekiranov, Chongzhi Zang, Mengdi Huai, Aidong Zhang:
Analysis of Meta-Learning Approaches for TCGA Pan-cancer Datasets. BIBM 2020: 257-262 - [c234]Mengdi Huai, Chenglin Miao, Jinduo Liu, Di Wang, Jingyuan Chou, Aidong Zhang:
Global Interpretation for Patient Similarity Learning. BIBM 2020: 589-594 - [c233]Qiuling Suo, Weida Zhong, Guangxu Xun, Jianhui Sun, Changyou Chen, Aidong Zhang:
GLIMA: Global and Local Time Series Imputation with Multi-directional Attention Learning. IEEE BigData 2020: 798-807 - [c232]Lu Chen, Shusheng Ye, Caiming Sun, Aidong Zhang, Ganyu Deng, Tianjiao Liao:
Optimized Foothold Planning and Posture Searching for Energy-Efficient Quadruped Locomotion over Challenging Terrains. ICRA 2020: 399-405 - [c231]Mengdi Huai, Jianhui Sun, Renqin Cai, Liuyi Yao, Aidong Zhang:
Malicious Attacks against Deep Reinforcement Learning Interpretations. KDD 2020: 472-482 - [c230]Guangxu Xun
, Kishlay Jha, Jianhui Sun, Aidong Zhang:
Correlation Networks for Extreme Multi-label Text Classification. KDD 2020: 1074-1082 - [c229]Jiayi Chen, Aidong Zhang:
HGMF: Heterogeneous Graph-based Fusion for Multimodal Data with Incompleteness. KDD 2020: 1295-1305 - [c228]Qiuling Suo, Jingyuan Chou, Weida Zhong, Aidong Zhang:
TAdaNet: Task-Adaptive Network for Graph-Enriched Meta-Learning. KDD 2020: 1789-1799 - [i5]Liuyi Yao, Zhixuan Chu, Sheng Li, Yaliang Li, Jing Gao, Aidong Zhang:
A Survey on Causal Inference. CoRR abs/2002.02770 (2020)
2010 – 2019
- 2019
- [j89]Guangxu Xun
, Kishlay Jha, Ye Yuan, Yaqing Wang, Aidong Zhang:
MeSHProbeNet: a self-attentive probe net for MeSH indexing. Bioinform. 35(19): 3794-3802 (2019) - [j88]Ye Yuan, Kebin Jia, Fenglong Ma, Guangxu Xun
, Yaqing Wang, Lu Su, Aidong Zhang:
A hybrid self-attention deep learning framework for multivariate sleep stage classification. BMC Bioinform. 20-S(16): 586:1-586:10 (2019) - [j87]Chunyan Fan, Xiujuan Lei
, Ling Guo, Aidong Zhang:
Predicting the associations between microbes and diseases by integrating multiple data sources and path-based HeteSim scores. Neurocomputing 323: 76-85 (2019) - [j86]Ye Yuan, Guangxu Xun
, Qiuling Suo, Kebin Jia, Aidong Zhang:
Wave2Vec: Deep representation learning for clinical temporal data. Neurocomputing 324: 31-42 (2019) - [j85]Vishrawas Gopalakrishnan, Kishlay Jha, Wei Jin, Aidong Zhang:
A survey on literature based discovery approaches in biomedical domain. J. Biomed. Informatics 93 (2019) - [j84]Xuewu Zhao, Junzhong Ji, Aidong Zhang:
Artificial bee colony clustering with self-adaptive crossover and stepwise search for brain functional parcellation in fMRI data. Soft Comput. 23(18): 8689-8709 (2019) - [j83]Ye Yuan
, Guangxu Xun
, Kebin Jia, Aidong Zhang
:
A Multi-View Deep Learning Framework for EEG Seizure Detection. IEEE J. Biomed. Health Informatics 23(1): 83-94 (2019) - [j82]Kishlay Jha, Guangxu Xun
, Vishrawas Gopalakrishnan, Aidong Zhang:
DWE-Med: Dynamic Word Embeddings for Medical Domain. ACM Trans. Knowl. Discov. Data 13(2): 19:1-19:21 (2019) - [j81]Houping Xiao
, Jing Gao, Qi Li, Fenglong Ma, Lu Su
, Yunlong Feng, Aidong Zhang
:
Towards Confidence Interval Estimation in Truth Discovery. IEEE Trans. Knowl. Data Eng. 31(3): 575-588 (2019) - [c227]Tianle Ma, Aidong Zhang:
AffinityNet: Semi-Supervised Few-Shot Learning for Disease Type Prediction. AAAI 2019: 1069-1076 - [c226]Guangxu Xun
, Kishlay Jha, Ye Yuan, Aidong Zhang:
Topic Discovery for Biomedical Corpus Using MeSH Embeddings. BHI 2019: 1-4 - [c225]Jinduo Liu, Junzhong Ji, Liuyi Yao, Aidong Zhang:
Estimating Brain Effective Connectivity in fMRI data by Non-stationary Dynamic Bayesian Networks. BIBM 2019: 834-839 - [c224]Liuyi Yao, Sheng Li
, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang:
ACE: Adaptively Similarity-Preserved Representation Learning for Individual Treatment Effect Estimation. ICDM 2019: 1432-1437 - [c223]Qiuling Suo, Liuyi Yao, Guangxu Xun
, Jianhui Sun, Aidong Zhang:
Recurrent Imputation for Multivariate Time Series with Missing Values. ICHI 2019: 1-3 - [c222]Mengdi Huai, Hongfei Xue, Chenglin Miao
, Liuyi Yao, Lu Su, Changyou Chen, Aidong Zhang:
Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm. IJCAI 2019: 2535-2541 - [c221]Mengdi Huai, Di Wang, Chenglin Miao
, Jinhui Xu, Aidong Zhang:
Privacy-aware Synthesizing for Crowdsourced Data. IJCAI 2019: 2542-2548 - [c220]Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Jing Gao, Aidong Zhang:
Metric Learning on Healthcare Data with Incomplete Modalities. IJCAI 2019: 3534-3540 - [c219]Liuyi Yao, Sheng Li
, Yaliang Li, Hongfei Xue, Jing Gao, Aidong Zhang:
On the Estimation of Treatment Effect with Text Covariates. IJCAI 2019: 4106-4113 - [c218]Bingchen Jin, Caiming Sun, Aidong Zhang, Ning Ding, Jing Lin, Ganyu Deng, Zuwen Zhu, Zhenglong Sun
:
Joint Torque Estimation toward Dynamic and Compliant Control for Gear-Driven Torque Sensorless Quadruped Robot. IROS 2019: 4630-4637 - [c217]Kishlay Jha, Guangxu Xun
, Yaqing Wang, Aidong Zhang:
Hypothesis Generation From Text Based On Co-Evolution Of Biomedical Concepts. KDD 2019: 843-851 - [c216]Hongfei Xue, Wenjun Jiang, Chenglin Miao
, Ye Yuan, Fenglong Ma, Xin Ma
, Yijiang Wang, Shuochao Yao, Wenyao Xu, Aidong Zhang, Lu Su:
DeepFusion: A Deep Learning Framework for the Fusion of Heterogeneous Sensory Data. MobiHoc 2019: 151-160 - [c215]Dingan Cheng, Bingchen Jin, Caiming Sun, Aidong Zhang, Shoubin Liu:
Joint Torque Estimation for Dynamic Jumping Control of Compliant Gear-Driven Legged Robot. ROBIO 2019: 95-101 - [c214]Jing Lin, Ganyu Deng, Lu Chen, Bingchen Jin, Caiming Sun, Aidong Zhang:
Bionic Architecture Design and Robust Rough-Terrain Locomotion for a High-Payload Quadrupedal Robot. ROBIO 2019: 1027-1034 - [c213]Lu Chen, Shusheng Ye, Caiming Sun, Aidong Zhang, Ganyu Deng, Tianjiao Liao, Junwen Sun:
CNNs based Foothold Selection for Energy-Efficient Quadruped Locomotion over Rough Terrains. ROBIO 2019: 1115-1120 - [c212]Tianjiao Liao, Shusheng Ye, Lu Chen, Caiming Sun, Aidong Zhang:
Energy Efficient Swing Leg Trajectory Planning For Quadruped Robots Walking On Rough Terrain. ROBIO 2019: 2128-2133 - [c211]Liuyi Yao, Yaliang Li, Yezheng Li, Hengtong Zhang, Mengdi Huai, Jing Gao, Aidong Zhang:
DTEC: Distance Transformation Based Early Time Series Classification. SDM 2019: 486-494 - [i4]Tianle Ma, Aidong Zhang:
Incorporating Biological Knowledge with Factor Graph Neural Network for Interpretable Deep Learning. CoRR abs/1906.00537 (2019) - 2018
- [j80]Vishrawas Gopalakrishnan, Kishlay Jha, Guangxu Xun
, Hung Q. Ngo, Aidong Zhang:
Towards self-learning based hypotheses generation in biomedical text domain. Bioinform. 34(12): 2103-2115 (2018) - [j79]Xiujuan Lei, Jie Zhao, Hamido Fujita
, Aidong Zhang
:
Predicting essential proteins based on RNA-Seq, subcellular localization and GO annotation datasets. Knowl. Based Syst. 151: 136-148 (2018) - [j78]Cuicui Yang, Junzhong Ji, Aidong Zhang:
BFO-FMD: bacterial foraging optimization for functional module detection in protein-protein interaction networks. Soft Comput. 22(10): 3395-3416 (2018) - [c210]Ye Yuan, Guangxu Xun
, Fenglong Ma, Qiuling Suo, Hongfei Xue, Kebin Jia, Aidong Zhang:
A novel channel-aware attention framework for multi-channel EEG seizure detection via multi-view deep learning. BHI 2018: 206-209 - [c209]Tianle Ma
, Aidong Zhang:
Multi-view Factorization AutoEncoder with Network Constraints for Multi-omic Integrative Analysis. BIBM 2018: 702-707 - [c208]Ye Yuan, Kebin Jia, Fenglong Ma, Guangxu Xun
, Yaqing Wang, Lu Su, Aidong Zhang:
Multivariate Sleep Stage Classification using Hybrid Self-Attentive Deep Learning Networks. BIBM 2018: 963-968 - [c207]Aidong Zhang:
On Metric Learning for Complex Data Analysis. IEEE BigData 2018: 5 - [c206]Aidong Zhang:
Deep Learning and Networks for Integrative Analysis of Multi-Omic Data. ICCABS 2018: 1 - [c205]Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Mengdi Huai, Aidong Zhang:
Multi-task Sparse Metric Learning for Monitoring Patient Similarity Progression. ICDM 2018: 477-486 - [c204]Ye Yuan, Guangxu Xun
, Fenglong Ma, Yaqing Wang, Nan Du, Kebin Jia, Lu Su, Aidong Zhang:
MuVAN: A Multi-view Attention Network for Multivariate Temporal Data. ICDM 2018: 717-726 - [c203]Kishlay Jha, Yaqing Wang, Guangxu Xun
, Aidong Zhang:
Interpretable Word Embeddings for Medical Domain. ICDM 2018: 1061-1066 - [c202]Mengdi Huai, Chenglin Miao
, Yaliang Li, Qiuling Suo, Lu Su, Aidong Zhang:
Metric Learning from Probabilistic Labels. KDD 2018: 1541-1550 - [c201]Kishlay Jha, Guangxu Xun
, Yaqing Wang, Vishrawas Gopalakrishnan, Aidong Zhang:
Concepts-Bridges: Uncovering Conceptual Bridges Based on Biomedical Concept Evolution. KDD 2018: 1599-1607 - [c200]Fenglong Ma, Jing Gao, Qiuling Suo, Quanzeng You, Jing Zhou, Aidong Zhang:
Risk Prediction on Electronic Health Records with Prior Medical Knowledge. KDD 2018: 1910-1919 - [c199]Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang:
Representation Learning for Treatment Effect Estimation from Observational Data. NeurIPS 2018: 2638-2648 - [c198]Liuyi Yao, Lu Su, Qi Li, Yaliang Li, Fenglong Ma, Jing Gao, Aidong Zhang:
Online Truth Discovery on Time Series Data. SDM 2018: 162-170 - [c197]Mengdi Huai, Chenglin Miao
, Qiuling Suo, Yaliang Li, Jing Gao, Aidong Zhang:
Uncorrelated Patient Similarity Learning. SDM 2018: 270-278 - [c196]Qiuling Suo, Fenglong Ma, Giovanni Canino, Jing Gao, Aidong Zhang, Agostino Gnasso, Giuseppe Tradigo, Pierangelo Veltri:
An Attention-based Recurrent Neural Networks Framework for Health Data Analysis. SEBD 2018 - [r2]