PUBLICATIONS    [Google Scholar]

2024

TKDD24	Efficient GNN Explanation via Learning Removal-based Attribution Yao Rong, Guanchu Wang, Qizhang Feng, Ninghao Liu, Zirui Liu, Enkelejda Kasneci, and Xia Hu Transactions on Knowledge Discovery from Data
TKDD24	Mitigating Relational Bias on Knowledge Graph Yu-Neng Chuang, Kwei-Herng Lai, Ruixiang Tang, Mengnan Du, Chia-Yuan Chang, Na Zou, and Xia Hu Transactions on Knowledge Discovery from Data
ICDM24	Addressing Delayed Feedback in Conversion Rate Prediction: A Domain Adaptation Approach Leisheng Yu, Yanxiao Cai, Lucas Chen, Minxing Zhang, Wei-Yen Day, Li Li, Rui Chen, Soo-Hyun Choi, and Xia Hu IEEE International Conference on Data Mining
NeurIPS24	Gradient Rewiring for Editable Graph Neural Network Training Zhimeng Jiang, Zirui Liu, Xiaotian Han, Qizhang Feng, Hongye Jin, Qiaoyu Tan, Kaixiong Zhou, Na Zou, and Xia Hu Neural Information Processing Systems
TMLR24	On the Equivalence of Graph Convolution and Mixup Xiaotian Han, Hanqing Zeng, Yu Chen, Shaoliang Nie, Jingzhou Liu, Kanika Narang, Zahra Shakeri, Karthik Abinav Sankararaman, Song Jiang, Madian Khabsa, Qifan Wang, and Xia Hu Transactions on Machine Learning Research
EMNLP24	KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches Jiayi Yuan, Hongyi Liu, Shaochen Zhong, Yu-Neng Chuang, Songchen Li, Guanchu Wang, Duy Le, Hongye Jin, Vipin Chaudhary, Zhaozhuo Xu, Zirui Liu, and Xia Hu Empirical Methods in Natural Language Processing
EMNLP24	Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion Guanchu Wang, Yu-Neng Chuang, Ruixiang Tang, Shaochen Zhong, Jiayi Yuan, Hongye Jin, Zirui Liu, Vipin Chaudhary, Shuai Xu, James Caverlee, and Xia Hu Empirical Methods in Natural Language Processing
ICML24	KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache Zirui Liu, Jiayi Yuan, Hongye Jin, Shaochen Zhong, Zhaozhuo Xu, Vladimir Braverman, Beidi Chen, and Xia Hu International Conference on Machine Learning
ICML24	LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Zirui Liu, Chia-Yuan Chang, Huiyuan Chen, and Xia Hu International Conference on Machine Learning
ICML24	TVE: Learning Meta-attribution for Transferable Vision Explainer Guanchu Wang, Yu-Neng Chuang, Fan Yang, Mengnan Du, Chia-Yuan Chang, Shaochen Zhong, Zirui Liu, Zhaozhuo Xu, Kaixiong Zhou, Xuanting Cai, and Xia Hu International Conference on Machine Learning
ICML24	GNNs Also Deserve Editing, and They Need It More Than Once Shaochen Zhong, Duy Le, Zirui Liu, Zhimeng Jiang, Andrew Ye, Jiamu Zhang, Jiayi Yuan, Kaixiong Zhou, Zhaozhuo Xu, Jing Ma, Shuai Xu, Vipin Chaudhary, and Xia Hu International Conference on Machine Learning
ICML24	Soft Prompt Recovers Compressed LLMs, Transferably Zhaozhuo Xu, Zirui Liu, Beidi Chen, Shaochen Zhong, Yuxin Tang, Jue Wang, Kaixiong Zhou, Xia Hu, and Anshumali Shrivastava International Conference on Machine Learning
NAACL	An Embarrassingly Simple Key Prompt Protection Mechanism for Large Language Models Ruixiang Tang, Yu-Neng Chuang, Xuanting Cai, Mengnan Du, and Xia Hu North American Chapter of the Association for Computational Linguistics
NAACL	Learning to Compress Prompt in Natural Language Formats Yu-Neng Chuang, Tianwei Xing, Chia-Yuan Chang, Zirui Liu, Xun Chen, and Xia Hu North American Chapter of the Association for Computational Linguistics
ICDE	Unraveling the 'Anomaly' in Time Series Anomaly Detection: A Self-supervised Tri-domain Solution Yuting Sun, Guansong Pang, GUANHUA YE, Tong Chen, Xia Hu, and Hongzhi Yin IEEE International Conference on Data Engineering
ICLR	FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods Xiaotian Han, Jianfeng Chi, Yu Chen, Qifan Wang, Han Zhao, Na Zou, and Xia Hu The International Conference on Learning Representations
JBI	SPeC: A Soft Prompt-Based Calibration on Performance Variability of Large Language Model in Clinical Notes Summarization Yu-Neng Chuang, Ruixiang Tang, Xiaoqian Jiang, and Xia Hu Journal of Biomedical Informatics
TAI	Fair Machine Learning in Healthcare: A Survey Qizhang Feng, Mengnan Du, Na Zou, and Xia Hu IEEE Transactions on Artificial Intelligence
TKDD	Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Bing Yin, and Xia Hu Transactions on Knowledge Discovery from Data
WSDM24	Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering Huiyuan Chen, Vivian Lai, Hongye Jin, Zhimeng Jiang, Mahashweta Das, and Xia Hu ACM International Conference Web Search and Data Mining
AAAI24	Chasing Fairness in Graphs: A GNN Architecture Perspective Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, and Xia Hu AAAI Conference on Artificial Intelligence
CACM	Shortcut Learning of Large Language Models in Natural Language Understanding Mengnan Du, Fengxiang He, Na Zou, Dacheng Tao, and Xia Hu Communications of the ACM

2023

EMNLP23	Privacy Analysis in Summarization Models: Did Your Model Memorize My Information? Ruixiang Tang, Gord Lueck, Rodolfo Quispe, Huseyin A Inan, Janardhan Kulkarni, and Xia Hu Empirical Methods in Natural Language Processing
NeurIPS23	Chasing Fairness under Distribution Shift: a Model Weight Perturbation Approach Zhimeng Jiang, Xiaotian Han, Hongye Jin, Guanchu Wang, Rui Chen, Na Zou, and Xia Hu Neural Information Processing Systems
NeurIPS23	Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model Zirui Liu, Guanchu Wang, Shaochen Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang Tang, Zhimeng Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, and Xia Hu Neural Information Processing Systems
NeurIPS23	Fair Graph Distillation Qizhang Feng, Zhimeng Jiang, Ruiquan Li, Yicheng Wang, Na Zou, Jiang Bian, and Xia Hu Neural Information Processing Systems
NeurIPS23	One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel Pruning Shaochen Zhong, Zaichuan You, Jiamu Zhang, Sebastian Zhao, Zachary LeClaire, Zirui Liu, Vipin Chaudhary, Shuai Xu, and Xia Hu Neural Information Processing Systems
NeurIPS23	Setting the Trap: Capturing and Defeating Backdoor Threats in PLMs through Honeypots Ruixiang Tang, Jiayi Yuan, Yiming Li, Zirui Liu, Rui Chen, and Xia Hu Neural Information Processing Systems
ICDM23	Double Wins: Boosting Accuracy and Efficiency of Graph Neural Networks by Reliable Knowledge Distillation Qiaoyu Tan, Daochen Zha, Ninghao Liu, Soo-Hyun Choi, Li Li, Rui Chen, and Xia Hu IEEE International Conference on Data Mining
ADJ	Heterogeneous Treatment Effects of Metformin on Risk of Dementia in Patients with Type 2 Diabetes: A Longitudinal Observational Study Huilin Tang, Jingchuan Guo, C. Elizabeth Shaaban, Zheng Feng, Yonghui Wu, Tanja Magoc, Xia Hu, William T Donahoo, Steven T. DeKosky, and Jiang Bian Alzheimer's & Dementia: The Journal of the Alzheimer's Association
Informatics	Predicting the Risk of Alzheimer’s Disease and Related Dementia in Patients with Mild Cognitive Impairment Using a Semi-Competing Risk Approach Zhaoyi Chen, Yuchen Yang, Dazheng Zhang, Jingchuan Guo, Yi Guo, Xia Hu, Yong Chen, and Jiang Bian Informatics
AMIA	Multi-Task Learning for Post-transplant Cause of Death Analysis: A Case Study on Liver Transplant Sirui Ding, Qiaoyu Tan, Chia-yuan Chang, Na Zou, Kai Zhang, Nathan R. Hoot, Xiaoqian Jiang, and Xia Hu AMIA Annual Symposium
AMIA	Local Contrastive Learning for Medical Image Recognition Syed A. Rizvi, Ruixiang Tang, Xiaoqian Jiang, Xiaotian Ma, and Xia Hu AMIA Annual Symposium
AMIA	Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint Chia-Yuan Chang, Jiayi Yuan, Sirui Ding, Qiaoyu Tan, Kai Zhang, Xiaoqian Jiang, Xia Hu, and Na Zou AMIA Annual Symposium
AMIA	Does Synthetic Data Generation of LLMs Help Clinical Text Mining? Ruixiang Tang, Xiaotian Han, Xiaoqian Jiang, and Xia Hu AMIA Annual Symposium
AMIA	LLM for Patient-Trial Matching: Privacy-Aware Data Augmentation Towards Better Performance and Generalizability Jiayi Yuan, Ruixiang Tang, Xiaoqian Jiang, and Xia Hu AMIA Annual Symposium
CIKM	DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research (demo paper) Yu-Neng Chuang, Guanchu Wang, et al., and Xia Hu ACM International Conference on Information and Knowledge Management
CIKM	Exposing Model Theft: A Robust and Transferable Watermark for Thwarting Model Extraction Attacks (short paper) Ruixiang Tang, Hongye Jin, Mengnan Du, Curtis Wigington, Rajiv Jain, and Xia Hu ACM International Conference on Information and Knowledge Management
ACM-BCB	Can Attention Be Used to Explain EHR-Based Mortality Prediction Tasks: A Case Study on Hemorrhagic Stroke Qizhang Feng, Jiayi Yuan, Forhan Bin Emdad, Karim Hanna, Xia Hu, and Zhe He ACM Conference on Bioinformatics, Computational Biology, and Health Informatics
TKDE	Collaborative Graph Neural Networks for Attributed Network Embedding Qiaoyu Tan, Xin Zhang, Xiao Huang, Hao Chen, Jundong Li, and Xia Hu IEEE Transactions on Knowledge and Data Engineering
ECML-PKDD23	Mitigating Algorithmic Bias with Limited Annotations Guanchu Wang, Mengnan Du, Ninghao Liu, Na Zou, and Xia Hu European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
ECML-PKDD23	Deep Serial Number: Computational Watermark for DNN Intellectual Property Protection Ruixiang Tang, Mengnan Du, and Xia Hu European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
TMLR	Retiring $\Delta \text{DP}$: New Distribution-Level Metrics for Demographic Parity Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, and Xia Hu Transactions on Machine Learning Research
TMLR	DSpar: An Embarrassingly Simple Strategy for Efficient GNN training and inference via Degree-based Sparsification Zirui Liu, Kaixiong Zhou, Zhimeng Jiang, Li Li, Rui Chen, Soo-Hyun Choi, and Xia Hu Transactions on Machine Learning Research
KDD23	Multi-factor Sequential Re-ranking with Perception-Aware Diversification Yue Xu, Hao Chen, Zefan Wang, Jianwen Yin, Qijie Shen, Dimin Wang, Feiran Huang, Lixiang Lai, Tao Zhuang, Junfeng Ge, and Xia Hu ACM SIGKDD Conference on Knowledge Discovery and Data Mining
KDD Explorations	Did You Train on My Dataset? Towards Public Dataset Protection with CleanLabel Backdoor Watermarking Ruixiang Tang,Qizhang Feng,Ninghao Liu,Fan Yang, and Xia Hu ACM SIGKDD Exploration Letter
KDD Explorations	Adaptive RiskAware Bidding with Budget Constraint in Display Advertising Zhimeng Jiang, Kaixiong Zhou,Mi Zhang, Rui Chen, Xia Hu, and SooHyun Choi ACM SIGKDD Exploration Letter
SDM23	Data-centric AI: Perspectives and Challenges Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, and Xia Hu SIAM International Conference on Data Mining
SDM23	Context-aware Domain Adaptation for Time Series Anomaly Detection Kwei-Herng Lai, Lan Wang, Huiyuan Chen, Kaixiong Zhou, Fei Wang, Hao Yang, and Xia Hu SIAM International Conference on Data Mining
SDM23	Adaptive Label Smoothing To Regularize Large-Scale Graph Training Kaixiong Zhou, Ninghao Liu, Fan Yang, Zirui Liu, Rui Chen, Li Li, Soo-Hyun Choi, and Xia Hu SIAM International Conference on Data Mining
ICML23	DIVISION: Memory Efficient Training via Dual Activation Precision Guanchu Wang, Zirui Liu, Zhimeng Jiang, Ninghao Liu, Na Zou, and Xia Hu International Conference on Machine Learning
ICML23	RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations Zirui Liu, Shengyuan Chen, Kaixiong Zhou, Daochen Zha, Xiao Huang, and Xia Hu International Conference on Machine Learning
FBD	PME: pruning-based multi-size embedding for recommender systems Yi-Wei Chen, Qingquan Song, Xi Liu, P S Sastry, and Xia Hu Frontiers in Big Data, section Data Mining and Management
MLSys23	Pre-trained Neural Cost Models for Efficient Embedding Table Sharding in Deep Learning Recommendation Models Daochen Zha, Louis Feng, Liang Luo, Bhargav Bhushanam, Zirui Liu, Yusuo Hu, Jade Nie, Yuzhen Huang, Yuandong Tian, Arun Kejariwal, and Xia Hu International Conference on Learning Representations
ICLR23	CoRTX: Contrastive Framework for Real-time Explanation Yu-Neng Chuang, Guanchu Wang, Fan Yang, Quan Zhou, Pushkar Tripathi, Xuanting Cai, and Xia Hu International Conference on Learning Representations
ICLR23	MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization Xiaotian Han, Tong Zhao, Yozen Liu, Xia Hu, and Neil Shah International Conference on Learning Representations
EACL23	Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding Mengnan Du, Subhabrata Mukherjee, Yu Cheng, Milad Shokouhi, Xia Hu, and Ahmed Hassan Awadallah The Conference of the European Chapter of the Association for Computational Linguistics
WSDM23	S2GAE: Self-Supervised Graph Autoencoders Are Generalizable Learners with Graph Masking Qiaoyu Tan, Ninghao Liu, Xiao Huang, Soo-Hyun Choi, Li Li, Rui Chen, and Xia Hu ACM International Conference on Web Search and Data Mining
WSDM23	Bring Your Own View: Graph Neural Networks for Link Prediction with Personalized Subgraph Selection Qiaoyu Tan, Xin Zhang, Ninghao Liu, Daochen Zha, Li Li, Rui Chen, Soo-Hyun Choi, and Xia Hu ACM International Conference on Web Search and Data Mining

2022

NeurIPS22	DreamShard: Generalizable Embedding Table Placement for Recommender Systems Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, and Xia Hu Neural Information Processing Systems
NeurIPS22	A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking Keyu Duan, Zirui Liu, Peihao Wang, Wenqing Zheng, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang Neural Information Processing Systems
QTML22	QuanGCN: Noise-Adaptive Training for Robust Quantum Graph Convolutional Networks Kaixiong Zhou, Zhenyu Zhang, Shengyuan Chen, Tianlong Chen, Xiao Huang, Zhangyang Wang, and Xia Hu Quantum Techniques in Machine Learning
AMIA22	Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning Sirui Ding, Ruixiang Tang, Daochen Zha, Na Zou, Kai Zhang, Xiaoqian Jiang, and Xia Hu AMIA Annual Symposium
CIKM22	Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning Daochen Zha, Kwei Herng Lai, Qiaoyu Tan, Sirui Ding, Na Zou, and Xia Hu ACM International Conference on Information and Knowledge Management
CIKM22	BED: A Real-Time Object Detection System for Edge Devices (demo paper) Guanchu Wang, Zaid Pervaiz Bhat, et al., and Xia Hu ACM International Conference on Information and Knowledge Management
AutoML22	AutoCoG: A Unified Data-Model Co-Search Framework for Graph Neural Networks Duc N.M Hoang, Kaixiong Zhou, Tianlong Chen, Xia Hu, and Zhangyang Wang International Conference on Automated Machine Learning
RecSys22	TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems Huiyuan Chen, Xiaoting Li, Kaixiong Zhou, Xia Hu, Chin-Chia Michael Yeh, Yan Zheng, Hao Yang ACM Recommender Systems Conference
KDD22	AutoShard: Automated Embedding Table Sharding for Recommender Systems Daochen Zha, Louis Feng, Bhargav Bhushanam, Dhruv Choudhary, Jade Nie, Yuandong Tian, Jay Chae, Yinbin Ma, Arun Kejariwal, and Xia Hu ACM SIGKDD Conference on Knowledge Discovery and Data Mining
KDD22	Towards Learning Disentangled Representations for Time Series Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Jingchao Ni, Denghui Zhang, Haifeng Chen, and Xia Hu ACM SIGKDD Conference on Knowledge Discovery and Data Mining
ICML22	G-Mixup: Graph Data Augmentation for Graph Classification Xiaotian Han, Zhimeng Jiang, Ninghao Liu, and Xia Hu International Conference on Machine Learning
ICML22	Accelerating Shapley Explanation via Contributive Cooperator Selection Guanchu Wang, Yu-Neng Chuang, Mengnan Du, Fan Yang, Quan Zhou, Xuanting Cai, and Xia Hu International Conference on Machine Learning
JMLR	AutoKeras: an AutoML Library for Deep Learning Haifeng Jin, Francois Chollet, Qingquan Song, and Xia Hu Journal of Machine Learning Research
TPAMI	Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study Tianlong Chen, Kaixiong Zhou, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang IEEE Transactions on Pattern Analysis and Machine Intelligence
SIGIR22	Adversarial Graph Perturbations for Recommendations at Scale Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Xia Hu, Fei Wang, and Hao Yang Annual ACM SIGIR Conference
IJCAI22	Table2Graph: Transforming Tabular Data to Unified Weighted Graph Kaixiong Zhou, Zirui Liu, Rui Chen, Li Li, Soo-Hyun Choi, and Xia Hu International Joint Conference on Artificial Intelligence
IJCAI22	AutoVideo: An Automated Video Action Recognition System (demo paper) Daochen Zha, Zaid Pervaiz Bhat, Yi-Wei Chen, Yicheng Wang, Sirui Ding, Anmoll Kumar Jain, Mohammad Qazim Bhat, Kwei-Herng Lai, Jiaben Chen, Na Zou, and Xia Hu International Joint Conference on Artificial Intelligence
AAAI22	Towards Debiasing DNN Models From Spurious Feature Influence Mengnan Du, Ruixiang Tang, Weijie Fu, Xia Hu AAAI Conference on Artificial Intelligence
AAAI22	RES: A Replicability Estimation System (demo paper) Zhuoer Wang, Qizhang Feng, Mohinish Chatterjee, Xing Zhao, Yezi Liu, Yuening Li, Abhay Kumar Singh, Frank M. Shipman, Xia Hu, James Caverlee AAAI Conference on Artificial Intelligence
SDM22	Towards Similarity-Aware Time-Series Classification Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu SIAM International Conference on Data Mining
ICLR22	DEGREE: Decomposition Based Explanation for Graph Neural Networks Qizhang Feng, Ninghao Liu, Fan Yang, Ruixiang Tang, Mengnan Du, Xia Hu International Conference on Learning Representations
ICLR22	Generalized Demographic Parity for Group Fairness Zhimeng Jiang, Xiaotian Han, Chao Fan, Fan Yang, Ali Mostafavi, Xia Hu International Conference on Learning Representations
ICLR22	An Information Fusion Approach to Learning with Instance-Dependent Label Noise Zhimeng Jiang, Kaixiong Zhou, Zirui Liu, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu International Conference on Learning Representations
ICLR22	EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression Zirui Liu, Kaixiong Zhou, Fan Yang, Li Li, Rui Chen, Xia Hu International Conference on Learning Representations
WWW22	Geometric Graph Representation Learning via Maximizing Rate Reduction Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Qingquan Song, Jundong Li, Xia Hu The Web Conference
AIL	How Level of Explanation Detail Affects Human Performance in Interpretable Intelligent Systems: A Study on Explainable Fact Checking Rhema Linder, Sina Mohseni, Fan Yang, Shiva K. Pentyala, Eric D. Ragan, and Xia Hu Applied AI Letters
AIL	Towards Structured NLP Interpretation via Graph Explainers Hao Yuan, Fan Yang, Mengnan Du, Shuiwang Ji, Xia Hu Applied AI Letters

2021

NeurIPS21	Dirichlet energy constrained learning for deep graph neural networks Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu Neural Information Processing Systems
NeurIPS21	Fairness via Representation Neutralization Mengnan Du, Subhabrata Mukherjee, Guanchu Wang, Ruixiang Tang, Ahmed Hassan Awadallah, Xia Hu Neural Information Processing Systems
TPAMI21	Differentiated Explanation of Deep Neural Networks with Skewed Distributions Weijie Fu, Meng Wang, Mengnan Du, Ninghao Liu, Shijie Hao, Xia Hu IEEE Transactions on Pattern Analysis and Machine Intelligence
TNNLS21	Sub-Architecture Ensemble Pruning in Neural Architecture Search Yijun Bian, Qingquan Song, Mengnan Du, Jun Yao, Huanhuan Chen, Xia Hu IEEE Transactions on Neural Networks and Learning Systems
ICCV21	DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization Zirui Liu, Haifeng Jin, Ting-Hsiang Wang, Kaixiong Zhou, Xia Hu IEEE/CVF International Conference on Computer Vision
TNNLS21	AutoAD: Automated Anomaly Detection via Curiosity-guided Search and Self-imitation Learning Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu IEEE Transactions on Neural Networks and Learning Systems
TCSS21	Understanding Social Biases behind Location Names in Contextual Word Embedding Models Fangsheng Wu, Mengnan Du, Chao Fan, Ruixiang Tang, Yang Yang, Ali Mostafavi, Xia Hu IEEE Transactions on Computational Social Systems
KDD21	Model-Based Counterfactual Synthesizer for Interpretation Fan Yang, Sahan Suresh Alva, Jiahao Chen, Xia Hu ACM SIGKDD Conference on Knowledge Discovery and Data Mining
KDD21	Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution Huiqi Deng, Na Zou, Weifu Chen, Guocan Feng, Mengnan Du, Xia Hu ACM SIGKDD Conference on Knowledge Discovery and Data Mining
TNNLS21	Sub-Architecture Ensemble Pruning in Neural Architecture Search Yijun Bian, Qingquan Song, Mengnan Du, Jun Yao, Huanhuan Chen, Xia Hu IEEE Transactions on Neural Networks and Learning Systems
TNNLS21	AutoAD: Automated Anomaly Detection via Curiosity-guided Search and Self-imitation Learning Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu IEEE Transactions on Neural Networks and Learning Systems
KDDExpo	Techniques for Automated Machine Learning Yi-Wei Chen, Qingquan Song, and Xia Hu SIGKDD Explorations
ICML21	DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning Daochen Zha, Jingru Xie, Wenye Ma, Sheng Zhang, Xiangru Lian, Xia Hu, and Ji Liu International Conference on Machine Learning
TPAMI	Graph Regularized Autoencoder and its Application in Unsupervised Anomaly Detection Imtiaz Ahmed, Travis Galoppo, Xia Hu, and Yu Ding IEEE Transactions on Pattern Analysis and Machine Intelligence
NAACL21	Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models Mengnan Du, Varun Manjunatha, Rajiv Jain, Ruchi Deshpande, Franck Dernoncourt, Jiuxiang Gu, Tong Sun, and Xia Hu Annual Conference of the North American Chapter of the Association for Computational Linguistics
KDDExpo	Adversarial Attacks and Defenses: An Interpretation Perspective Ninghao Liu, Mengnan Du, Ruocheng Guo, Huan Liu, and Xia Hu SIGKDD Explorations
KDDExpo	Generative Counterfactuals for Neural Networks via Attribute-Informed Perturbation Fan Yang, Ninghao Liu, Mengnan Du, and Xia Hu SIGKDD Explorations
WWW21	Mitigating Gender Bias in Captioning Systems Ruixiang Tang, Mengnan Du, Yuening Li, Zirui Liu, Na Zou, and Xia Hu The Web Conference
ICLR21	Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments Daochen Zha, Wenye Ma, Lei Yuan, Xia Hu, and Ji Liu International Conference on Learning Representations
JMLR	Neighborhood Structure Assisted Non-negative Matrix Factorization and its Application in Unsupervised Point-wise Anomaly Detection Imtiaz Ahmed, Xia Hu, Mithun P. Acharya, Yu Ding Journal of Machine Learning Research
TPAMI	Differentiated Explanation of Deep Neural Networks with Skewed Distributions Weijie Fu, Meng Wang, Mengnan Du, Ninghao Liu, Shijie Hao, and Xia Hu IEEE Transactions on Pattern Analysis and Machine Intelligence
AAAI21	TODS: An Automated Time Series Outlier Detection System (demo paper) Kwei-Herng Lai, Daochen Zha, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Minyang Wan, Diego Martinez, and Xia Hu AAAI Conference on Artificial Intelligence
AAAI21	A Unified Taylor Framework for Revisiting Attribution Methods Huiqi Deng, Na Zou, Mengnan Du, Guocan Feng, Weifu Chen, and Xia Hu AAAI Conference on Artificial Intelligence
AAAI21	Dynamic Memory based Attention Network for Sequential Recommendation Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, and Xia Hu AAAI Conference on Artificial Intelligence
ICWSM21	Machine Learning Explanations to Prevent Overtrust in Fake News Detection Sina Mohseni, Fan Yang, Shiva Pentyala, Mengnan Du, Yi Liu, Nic Lupfer, Xia Hu, Shuiwang Ji, and Eric Ragan International AAAI Conference on Web and Social Media
WSDM21	Sparse-Interest Network for Sequential Recommendation Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao, Ninghao Liu, Jingren Zhou, Hongxia Yang, and Xia Hu ACM International Conference on Web Search and Data Mining

2020

NeurIPS20	Detecting Interactions from Neural Networks via Topological Analysis Zirui Liu, Qingquan Song, Kaixiong Zhou, Ting-Hsiang Wang, Ying Shan, and Xia Hu Neural Information Processing Systems
NeurIPS20	Towards Deeper Graph Neural Networks with Differentiable Group Normalization Kaixiong Zhou, Xiao Huang, Yuening Li, Rui Chen, and Xia Hu Neural Information Processing Systems
TPAMI	Interpreting Image Classifiers by Generating Discrete Masks Hao Yuan, Lei Cai, Xia Hu, Jie Wang, and Shuiwang Ji IEEE Transactions on Pattern Analysis and Machine Intelligence
ASONAM20	Scalable Social Tie Strength Measuring Yan Zhong, Xiao Huang, Jundong Li, and Xia Hu The IEEE/ACM International Conference on Social Networks Analysis and Mining
IEEE	Towards Fairness-aware Disaster Informatics: An Interdisciplinary Perspective Yang Yang, Cheng Zhang, Chao Fan, Ali Mostafavi, and Xia Hu IEEE Access
KAIS	Learning Credible DNNs via Incorporating Prior Knowledge and Model Local Explanation Mengnan Du, Ninghao Liu, Fan Yang, and Xia Hu Knowledge and Information Systems
TNNLS	Scalable and Parallel Deep Bayesian Optimization on Attributed Graphs Jiaxu Cui, Bo Yang, Bingyi Sun, Xia Hu, and Jiming Liu IEEE Transactions on Neural Networks and Learning Systems
ICDM20	Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning Daochen Zha, Kwei-Herng Lai, Mingyang Wan, and Xia Hu International Conference on Data Mining
ICDE20	Neural Architecture Search for Outlier Detction (poster paper) Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, and Xia Hu IEEE International Conference on Data Engineering
RecSys20	AutoRec: An Automated Recommender System （demo paper) Ting-Hsiang Wang, Xia Hu, Haifeng Jin, Qingquan Song, Xiaotian Han, and Zirui Liu ACM Conference on Recommender Systems
CIKM20	Towards Generalizable Deepfake Detection with Locality-aware AutoEncoder Mengnan Du, Shiva Pentyala, Yuening Li, and Xia Hu ACM International Conference on Information and Knowledge Management
CIKM20	Explainable Recommender Systems via Resolving Learning Representations Ninghao Liu, Yong Ge, Li Li, Xia Hu, Rui Chen, and Soo-Hyun Choi ACM International Conference on Information and Knowledge Management
IS	Fairness in Deep Learning: A Computational Perspective Mengnan Du, Fan Yang, Na Zou, and Xia Hu IEEE Intelligent Systems
KDD20	An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks Ruixiang Tang, Mengnan Du, Ninghao Liu, Fan Yang, and Xia Hu ACM SIGKDD Conference on Knowledge Discovery and Data Mining
KDD20	PolicyGNN: Aggregation Optimization for Graph Neural Networks Kwei Herng Lai, Daochen Zha, Kaixiong Zhou, and Xia Hu ACM SIGKDD Conference on Knowledge Discovery and Data Mining
KDD20	Towards Automated Neural Interaction Discovering for Click-Through Rate Prediction Qingquan Song, Dehua Cheng, Eric Zhou, Jiyan Yang, Yuandong Tian, and Xia Hu ACM SIGKDD Conference on Knowledge Discovery and Data Mining
KDD20	XGNN: Towards Model-Level Explanations of Graph Neural Networks Hao Yuan, Jiliang Tang, Xia Hu and Shuiwang Ji ACM SIGKDD Conference on Knowledge Discovery and Data Mining
IJCAI20	Dual Policy Distillation Kwei-Herng Lai, Daochen Zha, Yuening Li, and Xia Hu International Joint Conference on Artificial Intelligence
IJCAI20	Multi-Channel Graph Neural Networks Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, and Xia Hu International Joint Conference on Artificial Intelligence
IJCAI20	RLCard: A Platform for Reinforcement Learning in Card Games (demo paper) Daochen Zha, Kwei-Herng Lai, Yuanpu Cao, Songyi Huang, Ruzhe Wei, Junyu Guo, and Xia Hu International Joint Conference on Artificial Intelligence
CVPR-W	Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks Haofan Wang, Zifan Wang, Mengnan Du, Fan Yang, Zijian Zhang, Sirui Ding, Piotr Mardziel, and Xia Hu IEEE CVPR 2020 Workshop on Fair, Data Efficient and Trusted Computer Vision
TKDE20	Social Boosted Recommendation with Folded Bipartite Network Embedding Hongxu Chen, Hongzhi Yin, Tong Chen, Weiqing Wang, Xue Li, and Xia Hu Transactions on Knowledge and Data Engineering
WWW20	Learning to Hash with Graph Neural Networks for Recommender Systems Qiaoyu Tan, Ninghao Liu, Xing Zhao, Hongxia Yang, Jingren Zhou, and Xia Hu International World Wide Web Conference
WWW20	PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning (demo paper) Yuening Li, Daochen Zha, Praveen Venugopal, Na Zou, and Xia Hu International World Wide Web Conference
FBD	On Robustness of Neural Architecture Search under Label Noise Yi-Wei Chen, Qingquan Song, Xi Liu, P S Sastry, and Xia Hu Frontiers in Big Data, section Data Mining and Management
SDM20	Deep Neural Networks with Knowledge Instillation Fan Yang, Ninghao Liu, Mengnan Du, Kaixiong Zhou, Shuiwang Ji, and Xia Hu SIAM International Conference on Data Mining
CACM	Techniques for Interpretable Machine Learning Mengnan Du, Ninghao Liu, and Xia Hu Communications of the ACM

2019

ICDM19	Learning Credible Deep Neural Networks with Rationale Regularization Mengnan Du, Ninghao Liu, Fan Yang, and Xia Hu International Conference on Data Mining
IJCAI19	Experience Replay Optimization Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, and Xia Hu International Joint Conference on Artificial Intelligence
KDD19	Auto-Keras: An Efficient Neural Architecture Search System Haifeng Jin, Qingquan Song, and Xia Hu ACM SIGKDD Conference on Knowledge Discovery and Data Mining
KDD19	Coupled Variational Recurrent Collaborative Filtering Qingquan Song, Shiyu Chang, and Xia Hu ACM SIGKDD Conference on Knowledge Discovery and Data Mining
KDD19	Is a Single Vector Enough? Exploring Node Polysemy for Network Embedding Ninghao Liu, Qiaoyu Tan, Yuening Li, Hongxia Yang, Jingren Zhou, and Xia Hu ACM SIGKDD Conference on Knowledge Discovery and Data Mining
KDD19	Graph Recurrent Networks with Attributed Random Walks Xiao Huang, Qingquan Song, Yuening Li, and Xia Hu ACM SIGKDD Conference on Knowledge Discovery and Data Mining
IJIM	Social Media for Intelligent Public Information and Warning in Disasters: An Interdisciplinary Review Cheng Zhang, Chao Fan, Wenlin Yao, Xia Hu, and Ali Mostafavi International Journal of Information Management
FBD	Deep Representation Learning for Social Network Analysis Qiaoyu Tan, Ninghao Liu, and Xia Hu Frontiers in Big Data, section Data Mining and Management
MEDINFO19	Identification of Cancer Survivors Living with Post-Traumatic Stress Disorder (PTSD) on Social Media (poster paper) Nur Hafieza Ismail, Ninghao Liu, Mengnan Du, Zhe He, and Xia Hu The World Congress on Medical and Health Informatics
IJCNN19	Deep Structured Cross-Modal Anomaly Detection Yuening Li, Ninghao Liu, Jundong Li, Du Mengnan, and Xia Hu International Joint Conference on Neural Networks
WWW19	XFake: Explainable Fake News Detector with Visualizations (demo paper) Fan Yang, Shiva Pentyala, Sina Mohseni, Mengnan Du, Hao Yuan, Rhema Linder, Eric Ragan, Shuiwang Ji, and Xia Hu The Web Conference
WWW19	On Attribution of Recurrent Neural Network Predictions via Additive Decomposition Mengnan Du, Ninghao Liu, Fan Yang, Shuiwang Ji, and Xia Hu The Web Conference
PAKDD19	An Interpretable Neural Model with Interactive Stepwise Influence Yin Zhang, Ninghao Liu, Shuiwang Ji, James Caverlee, and Xia Hu The Pacific-Asia Conference on Knowledge Discovery and Data Mining
AAAI19	Large-Scale Heterogeneous Feature Embedding Xiao Huang, Qingquan Song, Fan Yang, and Xia Hu AAAI Conference on Artificial Intelligence
AAAI19	Deep Bayesian Optimization on Attributed Graphs Jiaxu Cui, Bo Yang, and Xia Hu AAAI Conference on Artificial Intelligence
AAAI19	Robust Negative Sampling for Network Embedding Mohammadreza Armandpour, Patrick Ding, Jianhua Huang, and Xia Hu AAAI Conference on Artificial Intelligence
AAAI19	Interpreting Deep Models for Text Analysis via Optimization and Regularization Methods Hao Yuan, Yongjun Chen, Xia Hu, and Shuiwang Ji AAAI Conference on Artificial Intelligence
BioInformatics	Computational Modeling of Cellular Structures Using Conditional Deep Generative Networks Hao Yuan, Lei Cai, Zhengyang Wang, Xia Hu, Shaoting Zhang, and Shuiwang Ji BioInformatics
WSDM19	Representation Interpretation with Spatial Encoding and Multimodal Analytics Ninghao Liu, Mengnan Du, and Xia Hu ACM International Conference on Web Search and Data Mining

2018

TKDD18	Tensor Completion Algorithms in Big Data Analytics Qingquan Song, Hancheng Ge, James Caverlee, and Xia Hu ACM Transactions on Knowledge Discovery from Data
ICDM18	Towards Interpretation of Recommender Systems with Sorted Explanation Paths Fan Yang, Ninghao Liu, Suhang Wang, and Xia Hu IEEE International Conference on Data Mining
ICDM18	Multi-Label Adversarial Perturbations (short paper) Qingquan Song, Haifeng Jin, Xiao Huang, and Xia Hu IEEE International Conference on Data Mining
ICBK18	Discriminative Graph Autoencoder Haifeng Jin, Qingquan Song, and Xia Hu IEEE International Conference on Big Knowledge
CIKM18	Fairness-Aware Tensor-Based Recommendation Ziwei Zhu, Xia Hu, and James Caverlee ACM International Conference on Information and Knowledge Management
RecSys18	TrailMix: An Ensemble Recommender System for Playlist Curation and Continuation Xing Zhao, Qingquan Song, Jame Caverlee, and Xia Hu ACM Recommender Systems Challenge Workshop
TKDD	A General Embedding Framework for Heterogeneous Information Learning in Large-scale Networks Xiao Huang, Jundong Li, Na Zou, and Xia Hu ACM Transactions on Knowledge Discovery from Data
KDD18	Adversarial Detection with Model Interpretation Ninghao Liu, Hongxia Yang, and Xia Hu ACM SIGKDD Conference on Knowledge Discovery and Data Mining
KDD18	On Interpretation of Network Embedding via Taxonomy Induction Ninghao Liu, Xiao Huang, Jundong Li, and Xia Hu ACM SIGKDD Conference on Knowledge Discovery and Data Mining
KDD18	Towards Explanation of DNN-based Prediction with Guided Feature Inversion Mengnan Du, Ninghao Liu, Qingquan Song, and Xia Hu ACM SIGKDD Conference on Knowledge Discovery and Data Mining
IJCAI18	Contextual Outlier Interpretation Ninghao Liu, Donghwa Shin, and Xia Hu International Joint Conference on Artificial Intelligence
ICDE18	DisTenC: A Distributed Algorithm for Scalable Tensor Completion on Spark Hancheng Ge, Kai Zhang, Majid Alfifi, Xia Hu, and James Caverlee IEEE International Conference on Data Engineering
INFOCOM18	Privacy-Preserving Social Media Data Outsourcing Jinxue Zhang, Jingchao Sun, Rui Zhang, Yanchao Zhang, and Xia Hu IEEE International Conference on Computer Communications
AAAI18	Link Prediction with Personalized Social Influence Zepeng Huo, Xiao Huang, and Xia Hu AAAI Conference on Artificial Intelligence
WSDM18	Exploring Expert Cognition for Attributed Network Embedding Xiao Huang, Qingquan Song, Jundong Li, and Xia Hu ACM International Conference on Web Search and Data Mining

2017

CIKM17	Attributed Network Embedding for Learning in a Dynamic Environment Jundong Li, Harsh Dani, Xia Hu, Jiliang Tang, Yi Chang, and Huan Liu ACM International Conference on Information and Knowledge Management
Encyclopedia	Spam Detection on Social Networks Ninghao Liu and Xia Hu Encyclopedia of Social Network Analysis and Mining
TIST	Understanding and Identifying Rhetorical Questions in Social Media Suhas Ranganath, Xia Hu, Jiliang Tang, Suhang Wang, and Huan Liu ACM Transactions on Intelligent Systems and Technology
TKDE	Wellness Representation of Users in Social Media: Towards Joint Modelling of Heterogeneity and Temporality Mohammad Akbari, Xia Hu, Fei Wang, and Tat-Seng Chua IEEE Transactions on Knowledge and Data Engineering
JHE	An Interpretable Classification Framework for Information Extraction from Online Healthcare Forums Jun Gao, Ninghao Liu, Mark Lawley, and Xia Hu Journal of Healthcare Engineering
KDD17	Multi-Aspect Streaming Tensor Completion Qingquan Song, Xiao Huang, Hancheng Ge, James Caverlee, and Xia Hu ACM SIGKDD Conference on Knowledge Discovery and Data Mining
IJCAI17	Accelerated Local Anomaly Detection via Resolving Attributed Networks Ninghao Liu, Xiao Huang, and Xia Hu International Joint Conference on Artificial Intelligence
IJCAI17	Radar: Residual Analysis for Anomaly Detection in Attributed Networks Jundong Li, Harsh Dani, Xia Hu, and Huan Liu International Joint Conference on Artificial Intelligence
TKDE	Facilitating Time Critical Information Seeking in Social Media Suhas Ranganath, Suhang Wang, Xia Hu, Jiliang Tang, and Huan Liu IEEE Transactions on Knowledge and Data Engineering
SIGIR17	What Are You Known For? Learning User Topical Profiles with Implicit and Explicit Footprints Cheng Cao, Hancheng Ge, Haokai Lu, Xia Hu, and James Caverlee Annual ACM SIGIR Conference
ICWSM17	Early Identification of Personalized Trending Topics in Microblogging (poster paper) Liang Wu, Xia Hu, and Huan Liu International AAAI Conference on Weblogs and Social Media
ICWSM17	Detecting Camouflaged Content Polluters (poster paper) Liang Wu, Xia Hu, Fred Morstatter, and Huan Liu International AAAI Conference on Weblogs and Social Media
ICWSM17	Adaptive Spammer Detection with Sparse Group Modeling Liang Wu, Xia Hu, Fred Morstatter, and Huan Liu International AAAI Conference on Weblogs and Social Media
SDM17	Accelerated Attributed Network Embedding Xiao Huang, Jundong Li, and Xia Hu SIAM International Conference on Data Mining
SDM17	Gleaning Wisdom From The Past: Early Detection of Emerging Rumors in Social Media Liang Wu, Jundong Li, Xia Hu, and Huan Liu SIAM International Conference on Data Mining
WWW17	Neural Collaborative Filtering Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu, and Tat-Seng Chua International World Wide Web Conference
WSDM17	Label Informed Attributed Network Embedding Xiao Huang, Jundong Li, and Xia Hu ACM International Conference on Web Search and Data Mining
TOIS	Cross-Platform App Recommendation by Jointly Modeling Ratings and Texts Da Cao, Xiangnan He, Liqiang Nie, Xiaochi Wei, Xia Hu, Shunxiang Wu, and Tat-Seng Chua ACM Transactions on Information Systems
JBSB	Towards Organizing Health Knowledge on Community-based Health Services Mohammad Akbari, Xia Hu, Liqiang Nie, and Tat-Seng Chua EURASIP Journal on Bioinformatics and Systems Biology

2016

ICDM16	Toward Time-Evolving Feature Selection on Dynamic Networks (short paper) Jundong Li, Xia Hu, Ling Jian, and Huan Liu IEEE International Conference on Data Mining
JBSB	Machine Learning to Predict Rapid Progression of Carotid Atherosclerosis in Patients with Impaired Glucose Tolerance Xia Hu, Peter Reaven, Aramesh Saremi, Ninghao Liu, Mohammed Ali Abbasi, Huan Liu, Raymond Migrino EURASIP Journal on Bioinformatics and Systems Biology
CIKM16	Data Summarization with Social Contexts Hao Zhuang, Rameez Rahman, Xia Hu, Tian Guo, Pan Hui, and Karl Aberer ACM International Conference on Information and Knowledge Management
BOOM16	On the Organization and Retrieval of Health QA Records for Community-based Health Services (workshop paper) Mohammad Akbari, Xia Hu, Liqiang Nie, Tat-Seng Chua The IJCAI 2016 Workshop on Biomedical Informatics with Optimization and Machine Learning [Best Paper Award]
TMM	Learning Geographical Hierarchy Features via A Compositional Model Xiaoming Zhang, Xia Hu, Senzhang Wang, Yang Yang, Zhoujun Li, and Jianshe Zhou IEEE Transactions on Multimedia
ICWSM16	Your Age Is No Secret: Inferring Microbloggers’ Ages via Content and Interaction Analysis Jinxue Zhang, Xia Hu, Yanchao Zhang, and Huan Liu International AAAI Conference on Weblogs and Social Media
ICWSM16	Identifying Rhetorical Questions in Social Media (poster paper) Suhas Ranganth, Xia Hu, Jiliang Tang, Suhang Wang, and Huan Liu International AAAI Conference on Weblogs and Social Media
ICWSM16	Exploring Personal Attributes from Unprotected Interactions (poster paper) Pritam Gundecha, Jiliang Tang, Xia Hu, and Huan Liu International AAAI Conference on Weblogs and Social Media
Book Chapter	Mining Misinformation in Social Media Liang Wu, Fred Morstatter, Xia Hu, and Huan Liu Big Data in Complex and Social Networks. Editors: My T. Thai, Hui Xiong and Weili Wu.
SDM16	Robust Unsupervised Feature Selection on Networked Data Jundong Li, Xia Hu, Liang Wu, and Huan Liu SIAM International Conference on Data Mining
Book Chapter	An Overview of Sentiment Analysis in Social Media and Its Applications in Disaster Relief Ghazaleh Beigi, Xia Hu, Ross Maciejewski, and Huan Liu Sentiment Analysis and Ontology Engineering: An Environment of Computational Intelligence
AAAI16	From Tweets to Wellness: Wellness Event Detection from Twitter Streams Mohammad Akbari, Xia Hu, Liqiang Nie, and Tat-Seng Chua AAAI Conference on Artificial Intelligence
AAAI16	Predicting Online Protest Participation of Social Media Users Suhas Ranganath, Fred Morstatter, Xia Hu, Jiliang Tang, Suhang Wang, and Huan Liu AAAI Conference on Artificial Intelligence [Media Coverage]
AAAI16	Recommendation with Social Dimensions Jiliang Tang, Suhang Wang, Xia Hu, Dawei Yin, Yingzhou Bi, Yi Chang and Huan Liu AAAI Conference on Artificial Intelligence
WSDM16	Relational Learning with Social Status Analysis Liang Wu, Xia Hu, and Huan Liu ACM International Conference on Web Search and Data Mining
WSDM16	Understanding and Identifying Advocates of Political Campaigns on Social Media Suhas Ranganath, Xia Hu, Jiliang Tang, and Huan Liu ACM International Conference on Web Search and Data Mining
KAIS	CPB: A Classification based Approach for Burst Time Prediction in Cascades Senzhang Wang, Zhao Yan, Xia Hu, Philip S. Yu, Zhoujun Li, and Biao Wang Knowledge and Information Systems Journal

2015

ICDM15	Social Answer: A System for Finding Appropriate Sites for Questions in Social Media (demo paper) Harsh Dani, Fred Morstatter, Xia Hu, Zhen Yang, and Huan Liu IEEE International Conference on Data Mining
ICDM15	Finding Time-Critical Responses for Information Seeking in Social Media Suhas Ranganath, Suhang Wang, Xia Hu, Jiliang Tang, and Huan Liu IEEE International Conference on Data Mining
TBD	Embracing Information Explosion without Choking: Clustering and Labeling in Microblogging Xia Hu, Lei Tang, and Huan Liu IEEE Transactions on Big Data
CIKM15	Unsupervised Streaming Feature Selection in Social Media Jundong Li, Xia Hu, Jiliang Tang, and Huan Liu ACM International Conference on Information and Knowledge Management
ASONAM15	Finding the Right Social Media Site for Questions (short paper) Zhen Yang, Isaac Jones, Xia Hu, and Huan Liu IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
IJCAI15	Learning Geographical Hierarchy Features for Social Image Location Prediction Xiaoming Zhang, Xia Hu, and Zhoujun Li International Joint Conference on Artificial Intelligence
AAAI15	Leveraging Social Foci for Information Seeking in Social Media Suhas Ranganath, Jiliang Tang, Xia Hu, Hari Sundaram, and Huan Liu AAAI Conference on Artificial Intelligence
AAAI15	Burst Time Prediction in Cascades Senzhang Wang, Zhao Yan, Xia Hu, Philip S. Yu, and Zhoujun Li AAAI Conference on Artificial Intelligence
AAAI15	Content-Aware Point of Interest Recommendation on Location-Based Social Networks Huiji Gao, Jiliang Tang, Xia Hu, and Huan Liu AAAI Conference on Artificial Intelligence
Dissertation	Mining Content and Relations for Social Spammer Detection Xia Hu Arizona State University
SWDM15	Visualizing Social Media Sentiment in Disaster Scenarios (workshop paper) Yafeng Lu, Xia Hu, Feng Wang, Shamanth Kumar, Huan Liu and Ross Maciejewski The WWW 2015 Workshop on Social Web for Disaster Management
Encyclopedia	Mining and Profiling in Social Media Xia Hu and Huan Liu International Encyclopedia of Digital Communication & Society. Editors: Robin Mansell and Peng Hwa Ang.

2014

ICDM14	Social Spammer Detection with Sentiment Information Xia Hu, Jiliang Tang, Huiji Gao, and Huan Liu IEEE International Conference on Data Mining
CIKM14	Predictability of Distrust with Interaction Data Jiliang Tang, Xia Hu, Yi Chang, and Huan Liu ACM International Conference on Information and Knowledge Management
HT14	A Behavior Analytics Approach to Identifying Tweets from Crisis Regions (short paper) Shamanth Kumar, Xia Hu, and Huan Liu ACM Conference on Hypertext and Social Media [Media Coverage]
HT14	Is Distrust the Negation of Trust? The Value of Distrust in Social Media Jiliang Tang, Xia Hu, and Huan Liu ACM Conference on Hypertext and Social Media
Physica A	Closed Walks for Community Detection Yang Yang, Peng Gang Sun, Xia Hu, and Zhoujun Li Physica A: Statistical Mechanics and its Applications
KDD14	MMRate: Inferring Multi-aspect Diffusion Networks with Multi-pattern Cascades Senzhang Wang, Xia Hu, Philip S. Yu, and Zhoujun Li ACM SIGKDD Conference on Knowledge Discovery and Data Mining
SIGIR14	Leveraging Knowledge across Media for Spammer Detection in Microblogging Xia Hu, Jiliang Tang, and Huan Liu Annual ACM SIGIR Conference
AAAI14	Online Social Spammer Detection Xia Hu, Jiliang Tang, and Huan Liu AAAI Conference on Artificial Intelligence
SDM14	Discriminant Analysis for Unsupervised Feature Selection Jiliang Tang, Xia Hu, Huiji Gao, and Huan Liu SIAM International Conference on Data Mining

2013

CIKM13	Modeling Temporal Effects of Human Mobile Behavior on Location-Based Social Networks Huiji Gao, Jiliang Tang, Xia Hu, and Huan Liu ACM International Conference on Information and Knowledge Management
SNAM	Social Recommendation: A Review Jiliang Tang, Xia Hu, and Huan Liu Social Network Analysis and Mining, Springer
RecSys13	Exploring Temporal Effects for Location Recommendation on Location-Based Social Networks Huiji Gao, Jiliang Tang, Xia Hu, and Huan Liu ACM Recommender Systems Conference
RecSys13	Context-Aware Review Helpfulness Rating Prediction Jiliang Tang, Huiji Gao, Xia Hu, and Huan Liu ACM Recommender Systems Conference
IJCAI13	Social Spammer Detection in Microblogging [Slides | BibTex] Xia Hu, Jiliang Tang, Yanchao Zhang, and Huan Liu International Joint Conference on Artificial Intelligence
IJCAI13	Exploiting Local and Global Social Context for Recommendation Jiliang Tang, Xia Hu, Huiji Gao, and Huan Liu International Joint Conference on Artificial Intelligence
AAAI13	From Interest to Function: Location Estimation in Social Media Yan Chen, Jichang Zhao, Xia Hu, Xiaoming Zhang, Zhoujun Li, and Tat-Seng Chua AAAI Conference on Artificial Intelligence
WWW13	Unsupervised Sentiment Analysis with Emotional Signals [BibTex] Xia Hu, Jiliang Tang, Huiji Gao, and Huan Liu International World Wide Web Conference
SDM13	ActNeT: Active Learning for Networked Texts in Microblogging [BibTex] Xia Hu, Jiliang Tang, Huiji Gao, and Huan Liu SIAM International Conference on Data Mining
SDM13	Unsupervised Feature Selection for Multi-View Data in Social Media [BibTex] Jiliang Tang, Xia Hu, Huiji Gao, and Huan Liu SIAM International Conference on Data Mining
WSDM13	Exploiting Social Relations for Sentiment Analysis in Microblogging [Slides | BibTex] Xia Hu, Lei Tang, Jiliang Tang, and Huan Liu ACM International Conference on Web Search and Data Mining Best Paper Shortlist; Top Cited Paper by AMiner
WSDM13	Exploiting Homophily Effect for Trust Prediction [Slides | BibTex] Jiliang Tang, Huiji Gao, Xia Hu, and Huan Liu ACM International Conference on Web Search and Data Mining

2012 and Before

COLING12	A Semi-Supervised Bayesian Network Model for Microblog Topic Classification [Slides | BibTex] Yan Chen, Zhoujun Li, Liqiang Nie, Xia Hu, Xiangyu Wang, Tat-Seng Chua, and Xiaoming Zhang International Conference on Computational Linguistics
WWW12	Social Status and Role Analysis of Palin's Email Network [Poster | BibTex] Xia Hu and Huan Liu International Conference on World Wide Web
Book Chapter	Text Analytics in Social Media Xia Hu and Huan Liu Mining Text Data, Springer. Editors: Charu Aggarwal and Chengxiang Zhai.
FCS	Enriching Short Texts Representation in MicroBlog for Clustering Jiliang Tang, Xufei Wang, Huiji Gao, Xia Hu , and Huan Liu Frontiers of Computer Science, Springer
CIKM11	Enhancing Accessibility of Microblogging Messages Using Semantic Knowledge [BibTex] (poster paper) Xia Hu, Lei Tang, and Huan Liu ACM Conference on Information and Knowledge Management -- This work has also been selected as a poster in Doctoral Student Forum at SDM 2011 [Media Coverage]
CIKM11	Learnig to Recommend Questions Based on Public Interest [BibTex] (poster paper) Jun Wang, Xia Hu, Zhoujun Li, Wenhan Chao, and Biyun Hu ACM Conference on Information and Knowledge Management
ADC11	User Preference Representation Based on Psychometric Models Biyun Hu, Zhoujun Li, Wenhan Chao, and Xia Hu Australasian Database Conference
JEIT	A Novel Composite Kernel and Application in Question Retrieval Jun Wang, Zhoujun Li, Xia Hu, and Biyun Hu Journal of Electronics and Information Technology
WAIM10	A Novel Composite Kernel for Finding Similar Questions in CQA Services Jun Wang, Zhoujun Li, Xia Hu, and Biyun Hu International Conference on Web-Age Information Management
SIGIR10	Segmentation of Multi-Sentence Questions: Towards Effective Question Retrieval in cQA Services [BibTex] Kai Wang, Zhao-Yan Ming, Xia Hu, and Tat-Seng Chua Annual ACM SIGIR Conference
CIKM09	Exploiting Internal and External Semantics for the Clustering of Short Texts Using World Knowledge [Slides | BibTex] Xia Hu, Nan Sun, Chao Zhang, and Tat-Seng Chua ACM Conference on Information and Knowledge Management
ACL09	Query Segmentation Based on Eigenspace Similarity [BibTex] Chao Zhang, Nan Sun, Xia Hu, Tingzhu Huang, and Tat-Seng Chua Joint conference of the 47th Annual Meeting of the Association for Computational Linguistics and the 4th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing
ICMLC09	Measuring Sentence Similarity from Different Aspects Lin Li, Xia Hu, Biyun Hu, Jun Wang, and Yiming Zhou International Conference on Machine Learning and Cybernetics
ISNN09	Improving Short Text Clustering Performance with Keyword Expansion Jun Wang, Yiming Zhou, Biyun Hu, and Xia Hu International Symposium on Neural Networks
FSKD09	Predicting user behavior in e-commerce based on psychology model Lei Shen, Yiming Zhou, Chao Xu, Xia Hu, and Biyun Hu International Conference on Fuzzy Systems and Knowledge Discovery
ICMLC08	Related News Discovery From a News Collection Lin Li, Xia Hu, Chao Xu, and Yiming Zhou International Conference on Machine Learning and Cybernetics