PUBLICATIONS    [Google Scholar]


2024

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


2023

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

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