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ORCIDAidong Zhang
Person information
- affiliation: University of Virginia, Charlottesville, VA, USA
- affiliation (former): University at Buffalo, USA
- award (2023): ACM Distinguished Service Award
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2020 – today
- 2024
[j114]Guangzhi Xiong
, Nathan Leroy, Stefan Bekiranov, Nathan C. Sheffield, Aidong Zhang:
DeepGSEA: explainable deep gene set enrichment analysis for single-cell transcriptomic data. Bioinform. 40(7) (2024)- [c286]Jiayi Chen, Aidong Zhang:
On Disentanglement of Asymmetrical Knowledge Transfer for Modality-Task Agnostic Federated Learning. AAAI 2024: 11311-11319 - [c285]Jianhui Sun, Xidong Wu, Heng Huang, Aidong Zhang:
On the Role of Server Momentum in Federated Learning. AAAI 2024: 15164-15172 - [c284]Guangtao Zheng, Mengdi Huai, Aidong Zhang:
AdvST: Revisiting Data Augmentations for Single Domain Generalization. AAAI 2024: 21832-21840 - [c283]Guangzhi Xiong, Qiao Jin, Zhiyong Lu, Aidong Zhang:
Benchmarking Retrieval-Augmented Generation for Medicine. ACL (Findings) 2024: 6233-6251 - [c282]Guangtao Zheng, Wenqian Ye, Aidong Zhang:
Benchmarking Spurious Bias in Few-Shot Image Classifiers. ECCV (80) 2024: 346-364 - [c281]Jiayi Chen, Aidong Zhang:
FedMBridge: Bridgeable Multimodal Federated Learning. ICML 2024 - [c280]Sanchit Sinha, Guangzhi Xiong, Aidong Zhang:
A Self-explaining Neural Architecture for Generalizable Concept Learning. IJCAI 2024: 503-511 - [c279]Guangtao Zheng, Wenqian Ye, Aidong Zhang:
Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation. IJCAI 2024: 5599-5607 - [c278]Sanchit Sinha, Guangzhi Xiong, Aidong Zhang:
CoLiDR: Concept Learning using Aggregated Disentangled Representations. KDD 2024: 2699-2710 - [c277]Sanchit Sinha, Yuguang Yue, Victor Soto, Mayank Kulkarni, Jianhua Lu, Aidong Zhang:
MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learning. KDD 2024: 2711-2720 - [c276]Guangtao Zheng, Wenqian Ye, Aidong Zhang:
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers. KDD 2024: 4524-4535 - [i33]Wenqian Ye, Guangtao Zheng, Xu Cao, Yunsheng Ma, Xia Hu, Aidong Zhang:
Spurious Correlations in Machine Learning: A Survey. CoRR abs/2402.12715 (2024) - [i32]Guangzhi Xiong, Qiao Jin, Zhiyong Lu, Aidong Zhang:
Benchmarking Retrieval-Augmented Generation for Medicine. CoRR abs/2402.13178 (2024) - [i31]Sanchit Sinha, Guangzhi Xiong, Aidong Zhang:
A Self-explaining Neural Architecture for Generalizable Concept Learning. CoRR abs/2405.00349 (2024) - [i30]Guangtao Zheng, Wenqian Ye, Aidong Zhang:
Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation. CoRR abs/2405.03649 (2024) - [i29]Sanchit Sinha, Yuguang Yue, Victor Soto, Mayank Kulkarni, Jianhua Lu, Aidong Zhang:
MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learning. CoRR abs/2405.11446 (2024) - [i28]Guangtao Zheng, Wenqian Ye, Aidong Zhang:
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers. CoRR abs/2406.10742 (2024) - [i27]Nikhil Khandekar, Qiao Jin, Guangzhi Xiong, Soren Dunn, Serina S. Applebaum, Zain Anwar, Maame Sarfo-Gyamfi, Conrad W. Safranek, Abid A Anwar, Andrew Zhang, Aidan Gilson, Maxwell B. Singer, Amisha D. Dave, Andrew Taylor, Aidong Zhang, Qingyu Chen, Zhiyong Lu:
MedCalc-Bench: Evaluating Large Language Models for Medical Calculations. CoRR abs/2406.12036 (2024) - [i26]Wenqian Ye, Guangtao Zheng, Yunsheng Ma, Xu Cao, Bolin Lai, James M. Rehg, Aidong Zhang:
MM-SpuBench: Towards Better Understanding of Spurious Biases in Multimodal LLMs. CoRR abs/2406.17126 (2024) - [i25]Sanchit Sinha, Guangzhi Xiong, Aidong Zhang:
CoLiDR: Concept Learning using Aggregated Disentangled Representations. CoRR abs/2407.19300 (2024) - [i24]Guangzhi Xiong, Qiao Jin, Xiao Wang, Minjia Zhang, Zhiyong Lu, Aidong Zhang:
Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions. CoRR abs/2408.00727 (2024) - [i23]Guangtao Zheng, Wenqian Ye, Aidong Zhang:
Benchmarking Spurious Bias in Few-Shot Image Classifiers. CoRR abs/2409.02882 (2024) - [i22]Guangzhi Xiong, Sanchit Sinha, Aidong Zhang:
ProtoNAM: Prototypical Neural Additive Models for Interpretable Deep Tabular Learning. CoRR abs/2410.04723 (2024) - [i21]Sanchit Sinha, Guangzhi Xiong, Aidong Zhang:
Structural Causality-based Generalizable Concept Discovery Models. CoRR abs/2410.15491 (2024) - [i20]Qiao Jin, Nicholas Wan, Robert Leaman, Shubo Tian, Zhizheng Wang, Yifan Yang, Zifeng Wang, Guangzhi Xiong, Po-Ting Lai, Qingqing Zhu, Benjamin Hou, Maame Sarfo-Gyamfi, Gongbo Zhang, Aidan Gilson, Balu Bhasuran, Zhe He, Aidong Zhang, Jimeng Sun, Chunhua Weng, Ronald M. Summers, Qingyu Chen, Yifan Peng, Zhiyong Lu:
Demystifying Large Language Models for Medicine: A Primer. CoRR abs/2410.18856 (2024) - 2023
- [j113]Hyun Jae Cho, Mia Shu, Stefan Bekiranov, Chongzhi Zang, Aidong Zhang:
Interpretable meta-learning of multi-omics data for survival analysis and pathway enrichment. Bioinform. 39(4) (2023) - [j112]Guangzhi Xiong, Stefan Bekiranov, Aidong Zhang:
ProtoCell4P: an explainable prototype-based neural network for patient classification using single-cell RNA-seq. Bioinform. 39(8) (2023) - [j111]Jianhui Sun, Ying Yang, Guangxu Xun, Aidong Zhang:
Scheduling Hyperparameters to Improve Generalization: From Centralized SGD to Asynchronous SGD. ACM Trans. Knowl. Discov. Data 17(2): 29:1-29:37 (2023) - [j110]Liuyi Yao, Yaliang Li, Sheng Li, Jinduo Liu, Mengdi Huai, Aidong Zhang, Jing Gao:
Concept-Level Model Interpretation From the Causal Aspect. IEEE Trans. Knowl. Data Eng. 35(9): 8799-8810 (2023) - [c275]Sanchit Sinha, Mengdi Huai, Jianhui Sun, Aidong Zhang:
Understanding and Enhancing Robustness of Concept-Based Models. AAAI 2023: 15127-15135 - [c274]Jiayi Chen, Hanjun Dai, Bo Dai, Aidong Zhang, Wei Wei:
On Task-personalized Multimodal Few-shot Learning for Visually-rich Document Entity Retrieval. EMNLP (Findings) 2023: 9006-9025 - [c273]Jiayi Chen, Aidong Zhang:
On Hierarchical Disentanglement of Interactive Behaviors for Multimodal Spatiotemporal Data with Incompleteness. KDD 2023: 213-225 - [c272]Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li:
Learning for Counterfactual Fairness from Observational Data. KDD 2023: 1620-1630 - [c271]Jianhui Sun, Sanchit Sinha, Aidong Zhang:
Enhance Diffusion to Improve Robust Generalization. KDD 2023: 2083-2095 - [c270]Hongfei Xue, Qiming Cao, Chenglin Miao, Yan Ju, Haochen Hu, Aidong Zhang, Lu Su:
Towards Generalized mmWave-based Human Pose Estimation through Signal Augmentation. MobiCom 2023: 88:1-88:15 - [c269]Xidong Wu, Jianhui Sun, Zhengmian Hu, Junyi Li, Aidong Zhang, Heng Huang:
Federated Conditional Stochastic Optimization. NeurIPS 2023 - [c268]Xidong Wu, Jianhui Sun, Zhengmian Hu, Aidong Zhang, Heng Huang:
Solving a Class of Non-Convex Minimax Optimization in Federated Learning. NeurIPS 2023 - [c267]Caiming Sun, Binghui Li, Ning Ding, Aidong Zhang:
High-resolution Radiation Characterization for an Uniformly Emitted SiNx Nanophotonic Phased Array. OFC 2023: 1-3 - [c266]Guangtao Zheng, Qiuling Suo, Mengdi Huai, Aidong Zhang:
Learning to Learn Task Transformations for Improved Few-Shot Classification. SDM 2023: 784-792 - [i19]Jianhui Sun, Sanchit Sinha, Aidong Zhang:
Enhance Diffusion to Improve Robust Generalization. CoRR abs/2306.02618 (2023) - [i18]Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li:
Learning for Counterfactual Fairness from Observational Data. CoRR abs/2307.08232 (2023) - [i17]Xidong Wu, Jianhui Sun, Zhengmian Hu, Junyi Li, Aidong Zhang, Heng Huang:
Federated Conditional Stochastic Optimization. CoRR abs/2310.02524 (2023) - [i16]Xidong Wu, Jianhui Sun, Zhengmian Hu, Aidong Zhang, Heng Huang:
Solving a Class of Non-Convex Minimax Optimization in Federated Learning. CoRR abs/2310.03613 (2023) - [i15]Jiayi Chen, Hanjun Dai, Bo Dai, Aidong Zhang, Wei Wei:
On Task-personalized Multimodal Few-shot Learning for Visually-rich Document Entity Retrieval. CoRR abs/2311.00693 (2023) - [i14]Jianhui Sun, Xidong Wu, Heng Huang, Aidong Zhang:
On the Role of Server Momentum in Federated Learning. CoRR abs/2312.12670 (2023) - [i13]Guangtao Zheng, Mengdi Huai, Aidong Zhang:
AdvST: Revisiting Data Augmentations for Single Domain Generalization. CoRR abs/2312.12720 (2023) - 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) - [c265]Mengdi Huai, Jinduo Liu, Chenglin Miao, Liuyi Yao, Aidong Zhang:
Towards Automating Model Explanations with Certified Robustness Guarantees. AAAI 2022: 6935-6943 - [c264]Guangtao Zheng, Aidong Zhang:
Knowledge-Guided Semantics Adjustment for Improved Few-Shot Classification. ICDM 2022: 1347-1352 - [c263]Jiayi Chen, Aidong Zhang:
FedMSplit: Correlation-Adaptive Federated Multi-Task Learning across Multimodal Split Networks. KDD 2022: 87-96 - [c262]Jianhui Sun, Mengdi Huai, Kishlay Jha, Aidong Zhang:
Demystify Hyperparameters for Stochastic Optimization with Transferable Representations. KDD 2022: 1706-1716 - [c261]Jing Ma, Ruocheng Guo, Saumitra Mishra, Aidong Zhang, Jundong Li:
CLEAR: Generative Counterfactual Explanations on Graphs. NeurIPS 2022 - [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]