| 2026 | AAAI | Concept-RuleNet: Grounded Multi-Agent Neurosymbolic Reasoning in Vision Language Models. | Sanchit Sinha, Guangzhi Xiong, Zhenghao He, Aidong Zhang |
| 2026 | AAAI | SlideBot: A Multi-Agent Framework for Generating Informative, Reliable, Multi-Modal Presentations. | Eric Xie, Danielle Waterfield, Michael Kennedy, Aidong Zhang |
| 2026 | AAAI | SAGE: Spuriousness-Aware Guided Prompt Exploration for Mitigating Multimodal Bias. | Wenqian Ye, Di Wang, Guangtao Zheng, Bohan Liu, Aidong Zhang |
| 2026 | KDD | MM-SpuBench: Towards Better Understanding of Spurious Biases in Multimodal LLMs. | Wenqian Ye, Bohan Liu, Guangtao Zheng, Di Wang, Xu Cao, Yunsheng Ma, Bolin Lai, James M. Rehg, Aidong Zhang |
| 2025 | AAAI | Integrating Social Determinants of Health in a Multi-Modal Deep Clustering Survival Model for Injury-Risk in Alzheimer’s and Related Dementia Patients. | Kazi Noshin, Mary Regina Boland, Bojian Hou, Weiqing He, Victoria Lu, Li Shen, Aidong Zhang |
| 2025 | ACL | MedCite: Can Language Models Generate Verifiable Text for Medicine? | Xiao Wang, Mengjue Tan, Qiao Jin, Guangzhi Xiong, Yu Hu, Aidong Zhang, Zhiyong Lu, Minjia Zhang |
| 2025 | EMNLP | InfAL: Inference Time Adversarial Learning for Improving Research Ideation. | Sikun Guo, Amir Hassan Shariatmadari, Peng Wang, Albert Huang, Aidong Zhang |
| 2025 | EMNLP | COCO-Tree: Compositional Hierarchical Concept Trees for Enhanced Reasoning in Vision-Language Models. | Sanchit Sinha, Guangzhi Xiong, Aidong Zhang |
| 2025 | ICCV | GCAV: A Global Concept Activation Vector Framework for Cross-Layer Consistency in Interpretability. | Zhenghao He, Sanchit Sinha, Guangzhi Xiong, Aidong Zhang |
| 2025 | ICDM | LifelongSkill: Toward Modality-Varying Lifelong Learning with Latent Knowledge Hypergraph. | Jiayi Chen, Kishlay Jha, Aidong Zhang |
| 2025 | ICDM | Boosting Clinical Outcome Prediction with Context-Aware Feature Imputation and Disentanglement. | Lei Gong, Aidong Zhang, Kishlay Jha |
| 2025 | ICDM | HyHG: A Temporal Hypergraph Contrastive Learning Framework for Biomedical Hypothesis Generation. | Amir Hassan Shariatmadari, Sikun Guo, Nathan C. Sheffield, Aidong Zhang, Kishlay Jha |
| 2025 | ICML | NeuronTune: Towards Self-Guided Spurious Bias Mitigation. | Guangtao Zheng, Wenqian Ye, Aidong Zhang |
| 2025 | IJCAI | ASCENT-ViT: Attention-based Scale-aware Concept Learning Framework for Enhanced Alignment in Vision Transformers. | Sanchit Sinha, Guangzhi Xiong, Aidong Zhang |
| 2025 | IJCAI | Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models. | Guangzhi Xiong, Eric Xie, Corey M. Williams, Myles Kim, Amir Hassan Shariatmadari, Sikun Guo, Stefan Bekiranov, Aidong Zhang |
| 2025 | IJCAI | ShortcutProbe: Probing Prediction Shortcuts for Learning Robust Models. | Guangtao Zheng, Wenqian Ye, Aidong Zhang |
| 2025 | KDD | KDD 2025 Panel on AI for Science. | Vipin Kumar, Yan Liu, Aidong Zhang |
| 2025 | KDD | IdeaBench: Benchmarking Large Language Models for Research Idea Generation. | Sikun Guo, Amir Hassan Shariatmadari, Guangzhi Xiong, Albert Huang, Myles Kim, Corey M. Williams, Stefan Bekiranov, Aidong Zhang |
| 2025 | KDD | Improving Group Robustness on Spurious Correlation via Evidential Alignment. | Wenqian Ye, Guangtao Zheng, Aidong Zhang |
| 2025 | KDD | AI and Science Day. | Aidong Zhang, Vipin Kumar, Yan Liu |
| 2025 | SDM | Optimizing External and Internal Knowledge of Foundation Models for Scientific Discovery. | Sikun Guo, Guangzhi Xiong, Aidong Zhang |
| 2024 | AAAI | On Disentanglement of Asymmetrical Knowledge Transfer for Modality-Task Agnostic Federated Learning. | Jiayi Chen, Aidong Zhang |
| 2024 | AAAI | On the Role of Server Momentum in Federated Learning. | Jianhui Sun, Xidong Wu, Heng Huang, Aidong Zhang |
| 2024 | AAAI | AdvST: Revisiting Data Augmentations for Single Domain Generalization. | Guangtao Zheng, Mengdi Huai, Aidong Zhang |
| 2024 | ACL | Benchmarking Retrieval-Augmented Generation for Medicine. | Guangzhi Xiong, Qiao Jin, Zhiyong Lu, Aidong Zhang |
| 2024 | ECCV | Generalizing to Unseen Domains via Text-Guided Augmentation: A Training-Free Approach. | Daiqing Qi, Handong Zhao, Aidong Zhang, Sheng Li |
| 2024 | ECCV | Benchmarking Spurious Bias in Few-Shot Image Classifiers. | Guangtao Zheng, Wenqian Ye, Aidong Zhang |
| 2024 | ICML | FedMBridge: Bridgeable Multimodal Federated Learning. | Jiayi Chen, Aidong Zhang |
| 2024 | IJCAI | A Self-explaining Neural Architecture for Generalizable Concept Learning. | Sanchit Sinha, Guangzhi Xiong, Aidong Zhang |
| 2024 | IJCAI | Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation. | Guangtao Zheng, Wenqian Ye, Aidong Zhang |
| 2024 | KDD | CoLiDR: Concept Learning using Aggregated Disentangled Representations. | Sanchit Sinha, Guangzhi Xiong, Aidong Zhang |
| 2024 | KDD | MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learning. | Sanchit Sinha, Yuguang Yue, Victor Soto, Mayank Kulkarni, Jianhua Lu, Aidong Zhang |
| 2024 | KDD | Spuriousness-Aware Meta-Learning for Learning Robust Classifiers. | Guangtao Zheng, Wenqian Ye, Aidong Zhang |
| 2023 | AAAI | Understanding and Enhancing Robustness of Concept-Based Models. | Sanchit Sinha, Mengdi Huai, Jianhui Sun, Aidong Zhang |
| 2023 | EMNLP | On Task-personalized Multimodal Few-shot Learning for Visually-rich Document Entity Retrieval. | Jiayi Chen, Hanjun Dai, Bo Dai, Aidong Zhang, Wei Wei |
| 2023 | KDD | Learning for Counterfactual Fairness from Observational Data. | Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li |
| 2023 | KDD | On Hierarchical Disentanglement of Interactive Behaviors for Multimodal Spatiotemporal Data with Incompleteness. | Jiayi Chen, Aidong Zhang |
| 2023 | KDD | Enhance Diffusion to Improve Robust Generalization. | Jianhui Sun, Sanchit Sinha, Aidong Zhang |
| 2023 | MOBICOM | Towards Generalized mmWave-based Human Pose Estimation through Signal Augmentation. | Hongfei Xue, Qiming Cao, Chenglin Miao, Yan Ju, Haochen Hu, Aidong Zhang, Lu Su |
| 2023 | SDM | Learning to Learn Task Transformations for Improved Few-Shot Classification. | Guangtao Zheng, Qiuling Suo, Mengdi Huai, Aidong Zhang |
| 2022 | AAAI | Towards Automating Model Explanations with Certified Robustness Guarantees. | Mengdi Huai, Jinduo Liu, Chenglin Miao, Liuyi Yao, Aidong Zhang |
| 2022 | ICDM | Knowledge-Guided Semantics Adjustment for Improved Few-Shot Classification. | Guangtao Zheng, Aidong Zhang |
| 2022 | KDD | FedMSplit: Correlation-Adaptive Federated Multi-Task Learning across Multimodal Split Networks. | Jiayi Chen, Aidong Zhang |
| 2022 | KDD | Demystify Hyperparameters for Stochastic Optimization with Transferable Representations. | Jianhui Sun, Mengdi Huai, Kishlay Jha, Aidong Zhang |
| 2022 | WWW | Topological Transduction for Hybrid Few-shot Learning. | Jiayi Chen, Aidong Zhang |
| 2022 | SENSYS | M | Hongfei Xue, Qiming Cao, Yan Ju, Haochen Hu, Haoyu Wang, Aidong Zhang, Lu Su |
| 2022 | WSDM | Learning Fair Node Representations with Graph Counterfactual Fairness. | Jing Ma, Ruocheng Guo, Mengting Wan, Longqi Yang, Aidong Zhang, Jundong Li |
| 2021 | CIKM | HetMAML: Task-Heterogeneous Model-Agnostic Meta-Learning for Few-Shot Learning Across Modalities. | Jiayi Chen, Aidong Zhang |
| 2021 | CIKM | SCI: Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation. | Liuyi Yao, Yaliang Li, Sheng Li, Mengdi Huai, Jing Gao, Aidong Zhang |
| 2021 | ICDCS | Heterogeneous Spatio-Temporal Graph Convolution Network for Traffic Forecasting with Missing Values. | Weida Zhong, Qiuling Suo, Xiaowei Jia, Aidong Zhang, Lu Su |
| 2021 | IJCAI | Multi-Cause Effect Estimation with Disentangled Confounder Representation. | Jing Ma, Ruocheng Guo, Aidong Zhang, Jundong Li |
| 2021 | ICRA | Autonomous Navigation for Adaptive Unmanned Underwater Vehicles Using Fiducial Markers. | Juan Chen, Caiming Sun, Aidong Zhang |
| 2021 | ICRA | Design of a deployable underwater robot for the recovery of autonomous underwater vehicles based on origami technique. | 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 |
| 2021 | IROS | Design of a Large-scale Electrically-actuated Quadruped Robot and Locomotion Control for the Narrow Passage. | Shusheng Ye, Jianwen Luo, Caiming Sun, Bingchen Jin, Juntong Su, Aidong Zhang |
| 2021 | ICRA | Design and Implementation of a Novel, Intrinsically Safe Rigid-Flexible Coupling Manipulator for COVID-19 Oropharyngeal Swab Sampling. | Heng Zhang, Qiwen Wang, Chuliang Chi, Yongquan Chen, Zonggao Mu, Zheng Li, Yuanmin Lan, Aidong Zhang |
| 2021 | KDD | Knowledge-Guided Efficient Representation Learning for Biomedical Domain. | Kishlay Jha, Guangxu Xun, Nan Du, Aidong Zhang |
| 2021 | KDD | A Stagewise Hyperparameter Scheduler to Improve Generalization. | Jianhui Sun, Ying Yang, Guangxu Xun, Aidong Zhang |
| 2021 | Mobisys | mmMesh: towards 3D real-time dynamic human mesh construction using millimeter-wave. | Hongfei Xue, Yan Ju, Chenglin Miao, Yijiang Wang, Shiyang Wang, Aidong Zhang, Lu Su |
| 2021 | WSDM | Deconfounding with Networked Observational Data in a Dynamic Environment. | Jing Ma, Ruocheng Guo, Chen Chen, Aidong Zhang, Jundong Li |
| 2020 | AAAI | Pairwise Learning with Differential Privacy Guarantees. | Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, Aidong Zhang |
| 2020 | AAAI | Towards Interpretation of Pairwise Learning. | Mengdi Huai, Di Wang, Chenglin Miao, Aidong Zhang |
| 2020 | AAAI | EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks. | Jinduo Liu, Junzhong Ji, Guangxu Xun, Liuyi Yao, Mengdi Huai, Aidong Zhang |
| 2020 | ICRA | Optimized Foothold Planning and Posture Searching for Energy-Efficient Quadruped Locomotion over Challenging Terrains. | Lu Chen, Shusheng Ye, Caiming Sun, Aidong Zhang, Ganyu Deng, Tianjiao Liao |
| 2020 | KDD | HGMF: Heterogeneous Graph-based Fusion for Multimodal Data with Incompleteness. | Jiayi Chen, Aidong Zhang |
| 2020 | KDD | Malicious Attacks against Deep Reinforcement Learning Interpretations. | Mengdi Huai, Jianhui Sun, Renqin Cai, Liuyi Yao, Aidong Zhang |
| 2020 | KDD | TAdaNet: Task-Adaptive Network for Graph-Enriched Meta-Learning. | Qiuling Suo, Jingyuan Chou, Weida Zhong, Aidong Zhang |
| 2020 | KDD | Correlation Networks for Extreme Multi-label Text Classification. | Guangxu Xun, Kishlay Jha, Jianhui Sun, Aidong Zhang |
| 2019 | AAAI | AffinityNet: Semi-Supervised Few-Shot Learning for Disease Type Prediction. | Tianle Ma, Aidong Zhang |
| 2019 | ICDM | ACE: Adaptively Similarity-Preserved Representation Learning for Individual Treatment Effect Estimation. | Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang |
| 2019 | IJCAI | Privacy-aware Synthesizing for Crowdsourced Data. | Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, Aidong Zhang |
| 2019 | IJCAI | Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm. | Mengdi Huai, Hongfei Xue, Chenglin Miao, Liuyi Yao, Lu Su, Changyou Chen, Aidong Zhang |
| 2019 | IJCAI | Metric Learning on Healthcare Data with Incomplete Modalities. | Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Jing Gao, Aidong Zhang |
| 2019 | IJCAI | On the Estimation of Treatment Effect with Text Covariates. | Liuyi Yao, Sheng Li, Yaliang Li, Hongfei Xue, Jing Gao, Aidong Zhang |
| 2019 | IROS | Joint Torque Estimation toward Dynamic and Compliant Control for Gear-Driven Torque Sensorless Quadruped Robot. | Bingchen Jin, Caiming Sun, Aidong Zhang, Ning Ding, Jing Lin, Ganyu Deng, Zuwen Zhu, Zhenglong Sun |
| 2019 | KDD | Hypothesis Generation From Text Based On Co-Evolution Of Biomedical Concepts. | Kishlay Jha, Guangxu Xun, Yaqing Wang, Aidong Zhang |
| 2019 | MOBIHOC | DeepFusion: A Deep Learning Framework for the Fusion of Heterogeneous Sensory Data. | Hongfei Xue, Wenjun Jiang, Chenglin Miao, Ye Yuan, Fenglong Ma, Xin Ma, Yijiang Wang, Shuochao Yao, Wenyao Xu, Aidong Zhang, Lu Su |
| 2019 | SDM | DTEC: Distance Transformation Based Early Time Series Classification. | Liuyi Yao, Yaliang Li, Yezheng Li, Hengtong Zhang, Mengdi Huai, Jing Gao, Aidong Zhang |
| 2018 | ICDM | Interpretable Word Embeddings for Medical Domain. | Kishlay Jha, Yaqing Wang, Guangxu Xun, Aidong Zhang |
| 2018 | ICDM | Multi-task Sparse Metric Learning for Monitoring Patient Similarity Progression. | Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Mengdi Huai, Aidong Zhang |
| 2018 | ICDM | MuVAN: A Multi-view Attention Network for Multivariate Temporal Data. | Ye Yuan, Guangxu Xun, Fenglong Ma, Yaqing Wang, Nan Du, Kebin Jia, Lu Su, Aidong Zhang |
| 2018 | KDD | Metric Learning from Probabilistic Labels. | Mengdi Huai, Chenglin Miao, Yaliang Li, Qiuling Suo, Lu Su, Aidong Zhang |
| 2018 | KDD | Concepts-Bridges: Uncovering Conceptual Bridges Based on Biomedical Concept Evolution. | Kishlay Jha, Guangxu Xun, Yaqing Wang, Vishrawas Gopalakrishnan, Aidong Zhang |
| 2018 | KDD | Risk Prediction on Electronic Health Records with Prior Medical Knowledge. | Fenglong Ma, Jing Gao, Qiuling Suo, Quanzeng You, Jing Zhou, Aidong Zhang |
| 2018 | SDM | Uncorrelated Patient Similarity Learning. | Mengdi Huai, Chenglin Miao, Qiuling Suo, Yaliang Li, Jing Gao, Aidong Zhang |
| 2018 | SDM | Online Truth Discovery on Time Series Data. | Liuyi Yao, Lu Su, Qi Li, Yaliang Li, Fenglong Ma, Jing Gao, Aidong Zhang |
| 2017 | AMIA | A Multi-task Framework for Monitoring Health Conditions via Attention-based Recurrent Neural Networks. | Qiuling Suo, Fenglong Ma, Giovanni Canino, Jing Gao, Aidong Zhang, Pierangelo Veltri, Agostino Gnasso |
| 2017 | ICDM | Generating Medical Hypotheses Based on Evolutionary Medical Concepts. | Guangxu Xun, Kishlay Jha, Vishrawas Gopalakrishnan, Yaliang Li, Aidong Zhang |
| 2017 | ICDM | Wave2Vec: Learning Deep Representations for Biosignals. | Ye Yuan, Guangxu Xun, Qiuling Suo, Kebin Jia, Aidong Zhang |
| 2017 | IJCAI | A Correlated Topic Model Using Word Embeddings. | Guangxu Xun, Yaliang Li, Wayne Xin Zhao, Jing Gao, Aidong Zhang |
| 2017 | KDD | Unsupervised Discovery of Drug Side-Effects from Heterogeneous Data Sources. | Fenglong Ma, Chuishi Meng, Houping Xiao, Qi Li, Jing Gao, Lu Su, Aidong Zhang |
| 2017 | KDD | Collaboratively Improving Topic Discovery and Word Embeddings by Coordinating Global and Local Contexts. | Guangxu Xun, Yaliang Li, Jing Gao, Aidong Zhang |
| 2016 | ICDM | Topic Discovery for Short Texts Using Word Embeddings. | Guangxu Xun, Vishrawas Gopalakrishnan, Fenglong Ma, Yaliang Li, Jing Gao, Aidong Zhang |
| 2016 | KDD | Towards Confidence in the Truth: A Bootstrapping based Truth Discovery Approach. | Houping Xiao, Jing Gao, Qi Li, Fenglong Ma, Lu Su, Yunlong Feng, Aidong Zhang |
| 2015 | ICDM | DRN: Bringing Greedy Layer-Wise Training into Time Dimension. | Xiaoyi Li, Xiaowei Jia, Hui Li, Houping Xiao, Jing Gao, Aidong Zhang |
| 2015 | SDM | Functional Node Detection on Linked Data. | Kang Li, Jing Gao, Suxin Guo, Nan Du, Aidong Zhang |
| 2014 | BIBE | Privacy Preserving Calculation of Fisher Criterion Score for Informative Gene Selection. | Suxin Guo, Sheng Zhong, Aidong Zhang |
| 2014 | BIBE | A Novel Semi-Supervised Deep Learning Framework for Affective State Recognition on EEG Signals. | Xiaowei Jia, Kang Li, Xiaoyi Li, Aidong Zhang |
| 2014 | CIKM | Analysis on Community Variational Trend in Dynamic Networks. | Xiaowei Jia, Nan Du, Jing Gao, Aidong Zhang |
| 2014 | ICDM | LRBM: A Restricted Boltzmann Machine Based Approach for Representation Learning on Linked Data. | Kang Li, Jing Gao, Suxin Guo, Nan Du, Xiaoyi Li, Aidong Zhang |
| 2014 | SDM | A Deep Learning Approach to Link Prediction in Dynamic Networks. | Xiaoyi Li, Nan Du, Hui Li, Kang Li, Jing Gao, Aidong Zhang |
| 2013 | CIKM | OMS-TL: a framework of online multiple source transfer learning. | Liang Ge, Jing Gao, Aidong Zhang |
| 2013 | ICDM | Progression Analysis of Community Strengths in Dynamic Networks. | Nan Du, Jing Gao, Aidong Zhang |
| 2013 | ICDM | Learning, Analyzing and Predicting Object Roles on Dynamic Networks. | Kang Li, Suxin Guo, Nan Du, Jing Gao, Aidong Zhang |
| 2013 | KDD | Multi-source deep learning for information trustworthiness estimation. | Liang Ge, Jing Gao, Xiaoyi Li, Aidong Zhang |
| 2013 | SDM | On Handling Negative Transfer and Imbalanced Distributions in Multiple Source Transfer Learning. | Jing Gao, Liang Ge, Kang Li, Hung Q. Ngo, Aidong Zhang |
| 2012 | ICDM | Estimating Local Information Trustworthiness via Multi-source Joint Matrix Factorization. | Liang Ge, Jing Gao, Xiao Yu, Wei Fan, Aidong Zhang |
| 2012 | SDM | Pseudo Cold Start Link Prediction with Multiple Sources in Social Networks. | Liang Ge, Aidong Zhang |
| 2010 | BIBE | Computational Framework for Microstructural Bone Dynamics Model and Its Evaluation. | Taehyong Kim, Woochang Hwang, Aidong Zhang, Murali Ramanathan |
| 2010 | BIBE | Functional Flow Simulation Based Analysis of Protein Interaction Network. | Lei Shi, Young-Rae Cho, Aidong Zhang |
| 2010 | ICNC | An improved projection pursuit clustering model and its application based on Quantum-behaved PSO. | Qun Zhang, Xiujuan Lei, Xu Huang, Aidong Zhang |
| 2010 | SDM | On Mining Statistically Significant Attribute Association Information. | Pritam Chanda, Jianmei Yang, Aidong Zhang, Murali Ramanathan |
| 2009 | ICDM | Mining of Attribute Interactions Using Information Theoretic Metrics. | Pritam Chanda, Young-Rae Cho, Aidong Zhang, Murali Ramanathan |
| 2009 | ICDM | flowNet: Flow-Based Approach for Efficient Analysis of Complex Biological Networks. | Young-Rae Cho, Lei Shi, Aidong Zhang |
| 2008 | BIBE | A novel information theoretic method for detecting gene-gene and gene-environment interactions in complex diseases. | Pritam Chanda, Aidong Zhang, M. Ramanthan |
| 2008 | KDD | Bridging centrality: graph mining from element level to group level. | Woochang Hwang, Taehyong Kim, Murali Ramanathan, Aidong Zhang |
| 2007 | BIBE | Optimizing Flow-based Modularization by Iterative Centroid Search in Protein Interaction Networks. | Young-Rae Cho, Woochang Hwang, Aidong Zhang |
| 2007 | BIBE | SIGN: reliable protein interaction identification by integrating the Similarity In GO and the similarity in protein interaction Networks. | Woochang Hwang, Taehyong Kim, Young-Rae Cho, Aidong Zhang, Murali Ramanathan |
| 2007 | CIBCB | Modularization of Protein Interaction Networks by Incorporating Gene Ontology Annotations. | Young-Rae Cho, Woochang Hwang, Aidong Zhang |
| 2007 | ICDM | Assessing Reliability of Protein-Protein Interactions by Semantic Data Integration. | Young-Rae Cho, Woochang Hwang, Aidong Zhang |
| 2007 | ICMLA | Feature Extraction from Microarray Expression Data by Integration of Semantic Knowledge. | Young-Rae Cho, Xian Xu, Woochang Hwang, Aidong Zhang |
| 2006 | BIBE | Efficient Modularization of Weighted Protein Interaction Networks using k-Hop Graph Reduction. | Young-Rae Cho, Woochang Hwang, Aidong Zhang |
| 2006 | BIBE | Prediction of Protein Function Using Common-Neighbors in Protein-Protein Interaction Networks. | Chuan Lin, Daxin Jiang, Aidong Zhang |
| 2006 | ICCS | Towards Detecting Protein Complexes from Protein Interaction Data. | Pengjun Pei, Aidong Zhang |
| 2006 | ICCS | Boost Feature Subset Selection: A New Gene Selection Algorithm for Microarray Dataset. | Xian Xu, Aidong Zhang |
| 2006 | ICDM | Identification of Overlapping Functional Modules in Protein Interaction Networks: Information Flow-based Approach. | Young-Rae Cho, Woochang Hwang, Aidong Zhang |
| 2005 | BIBE | A Two-Step Approach for Clustering Proteins Based on Protein Interaction Profile. | Pengjun Pei, Aidong Zhang |
| 2005 | BIBE | Selecting Informative Genes from Microarray Dataset by Incorporating Gene Ontology. | Xian Xu, Aidong Zhang |
| 2005 | DASFAA | A General Approach to Mining Quality Pattern-Based Clusters from Microarray Data. | Daxin Jiang, Jian Pei, Aidong Zhang |
| 2005 | ICCS | Virtual Gene: A Gene Selection Algorithm for Sample Classification on Microarray Datasets. | Xian Xu, Aidong Zhang |
| 2005 | ICDE | Mining Cross-Graph Quasi-Cliques in Gene Expression and Protein Interaction Data. | Jian Pei, Daxin Jiang, Aidong Zhang |
| 2005 | ICDE | Towards Exploring Interactive Relationship between Clusters and Outliers in Multi-Dimensional Data Analysis. | Yong Shi, Aidong Zhang |
| 2005 | INFOCOM | Exploiting anarchy in networks: a game-theoretic approach to combining fairness and throughput. | Sreenivas Gollapudi, D. Sivakumar, Aidong Zhang |
| 2005 | KDD | On mining cross-graph quasi-cliques. | Jian Pei, Daxin Jiang, Aidong Zhang |
| 2004 | CVPR | Feature Selection for Classifying High-Dimensional Numerical Data. | Yimin Wu, Aidong Zhang |
| 2004 | ICDM | An Adaptive Density-Based Clustering Algorithm for Spatial Database with Noise. | Daoying Ma, Aidong Zhang |
| 2004 | KDD | Mining coherent gene clusters from gene-sample-time microarray data. | Daxin Jiang, Jian Pei, Murali Ramanathan, Chun Tang, Aidong Zhang |
| 2004 | VLDB | GPX: Interactive Mining of Gene Expression Data. | Daxin Jiang, Jian Pei, Aidong Zhang |
| 2004 | SSDBM | A Shrinking-Based Dimension Reduction Approach for Multi-Dimensional Data Analysis. | Yong Shi, Aidong Zhang |
| 2003 | BIBE | DHC: A Density-Based Hierarchical Clustering Method for Time Series Gene Expression Dat. | Daxin Jiang, Jian Pei, Aidong Zhang |
| 2003 | CIKM | Mining multiple phenotype structures underlying gene expression profiles. | Chun Tang, Aidong Zhang |
| 2003 | CVPR | Adaptive Pattern Discovery for Interactive Multimedia Retrieval. | Yimin Wu, Aidong Zhang |
| 2003 | KDD | Interactive exploration of coherent patterns in time-series gene expression data. | Daxin Jiang, Jian Pei, Aidong Zhang |
| 2003 | KDD | Mining phenotypes and informative genes from gene expression data. | Chun Tang, Aidong Zhang, Jian Pei |
| 2003 | KDD | Enhanced visualization of time series through higher fourier harmonics. | Li Zhang, Aidong Zhang, Murali Ramanathan |
| 2003 | VLDB | A Shrinking-Based Approach for Multi-Dimensional Data Analysis. | Yong Shi, Yuqing Song, Aidong Zhang |
| 2002 | CIKM | An iterative strategy for pattern discovery in high-dimensional data sets. | Chun Tang, Aidong Zhang |
| 2002 | ICARCV | An adaptive texture image retrieval system using wavelets. | Bin Zhang, Catalin I. Tomai, Aidong Zhang |
| 2002 | ICIP | Global motion estimation from semi-dynamic video using motion sensors. | Ramazan Savas Aygn, Aidong Zhang |
| 2002 | ICIP | A feature re-weighting approach for relevance feedback in image retrieval. | Yimin Wu, Aidong Zhang |
| 2002 | KDD | Visualized Classification of Multiple Sample Types. | Li Zhang, Aidong Zhang, Murali Ramanathan |
| 2002 | SDM | VizCluster: An Interactive Visualization Approach to Cluster Analysis and Its Application on Microarray Data. | Li Zhang, Chun Tang, Yong Shi, Yuqing Song, Aidong Zhang, Murali Ramanathan |
| 2001 | BIBE | Interrelated Two-way Clustering: An Unsupervised Approach for Gene Expression Data Analysis. | Chun Tang, Li Zhang, Aidong Zhang, Murali Ramanathan |
| 2000 | ICDE | ACQ: An Automatic Clustering and Querying Approach for Large Image Databases. | Dantong Yu, Aidong Zhang |
| 1999 | ICTAI | Efficiently Detecting Arbitrary Shaped Clusters in Image Databases. | Dantong Yu, Surojit Chatterjee, Aidong Zhang |
| 1999 | SSDBM | NetMedia: Giving Control to Distributed Multimedia Presentation Systems. | Markus Mielke, Yuqing Song, Ramazan Savas Aygn, Aidong Zhang |
| 1999 | SSDBM | GiView: A Multi-Resolution Geographical Data Retrieval System. | Dantong Yu, Lei Zhu, Aidong Zhang, Ling Bian |
| 1998 | ICCCN | A Multi-level Buffering and Feedback Scheme for Distributed Multimedia Presentation Systems. | Markus Mielke, Aidong Zhang |
| 1998 | ICDE | Global Integration of Visual Databases. | Wendy Chang, Deepak Murthy, Aidong Zhang, Tanveer Fathima Syeda-Mahmood |
| 1998 | VLDB | WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases. | Gholamhosein Sheikholeslami, Surojit Chatterjee, Aidong Zhang |
| 1997 | LCN | A Network Manager on Ethernets for Distributed Multimedia Systems. | V. Balachandran, G. Bhat, S. Chakravarty, Aidong Zhang |
| 1996 | ICIP | Content based image display from image databases using spatio-temporal transfers and fractal analysis methods. | Raghu Menon, Raj Acharya, Aidong Zhang |
| 1995 | PODC | A View-Based Approach to Relaxing Global Serializability in a Multidatabase System (Abstract). | Evaggelia Pitoura, Aidong Zhang, Bharat K. Bhargava |
| 1994 | SIGMOD | Ensuring Relaxed Atomicity for Flexible Transactions in Multidatabase Systems. | Aidong Zhang, Marian H. Nodine, Bharat K. Bhargava, Omran A. Bukhres |
| 1989 | EPIA | On the Classification and Existence of Structures in Default Logic. | Aidong Zhang, V. Wiktor Marek |