| 2026 | ACL | MASH: Evading Black-Box AI-Generated Text Detectors via Style Humanization. | Yongtong Gu, Songze Li, Xia Hu |
| 2026 | EACL | FaithLM: Towards Faithful Explanations for Large Language Models. | Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Ruixiang Tang, Shaochen Zhong, Fan Yang, Andrew Wen, Mengnan Du, Xuanting Cai, Vladimir Braverman, Xia Hu |
| 2026 | EACL | Dialogue is Better Than Monologue: Instructing Meidcal LLMs via Strategic Conversations. | Zijie Liu, Xinyu Zhao, Jie Peng, Jinhao Duan, Zhuangdi Zhu, Qingyu Chen, Kaidi Xu, Xia Hu, Tianlong Chen |
| 2026 | WWW | ECLAD: An Edge-Cloud Collaborative Agentic Framework for Interpretable Anomaly Detection in Predictive Maintenance. | Songyuan Sui, Zhanqi Deng, Yamin Zhuang, Serena Liu, Leisheng Yu, Alfredo Costilla-Reyes, Xia Hu |
| 2025 | ACL | AD-LLM: Benchmarking Large Language Models for Anomaly Detection. | Tiankai Yang, Yi Nian, Li Li, Ruiyao Xu, Yuangang Li, Jiaqi Li, Zhuo Xiao, Xiyang Hu, Ryan A. Rossi, Kaize Ding, Xia Hu, Yue Zhao |
| 2025 | ACL | ReasonerRank: Redefining Language Model Evaluation with Ground-Truth-Free Ranking Frameworks. | Jiamu Zhang, Jiayi Yuan, Andrew Wen, Hoang Anh Duy Le, Yu-Neng Chuang, Soo-Hyun Choi, Rui Chen, Xia Hu |
| 2025 | CVPR | TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model. | Cheng Yang, Yang Sui, Jinqi Xiao, Lingyi Huang, Yu Gong, Chendi Li, Jinghua Yan, Yu Bai, Ponnuswamy Sadayappan, Xia Hu, Bo Yuan |
| 2025 | CVPR | Flexible Group Count Enables Hassle-Free Structured Pruning. | Jiamu Zhang, Shaochen Zhong, Andrew Ye, Zirui Liu, Sebastian Zhao, Kaixiong Zhou, Li Li, Soo-Hyun Choi, Rui Chen, Xia Hu, Shuai Xu, Vipin Chaudhary |
| 2025 | EMNLP | LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem. | Hongyi Liu, Shaochen Zhong, Xintong Sun, Minghao Tian, Mohsen Hariri, Zirui Liu, Ruixiang Tang, Zhimeng Jiang, Jiayi Yuan, Yu-Neng Chuang, Li Li, Soo-Hyun Choi, Rui Chen, Vipin Chaudhary, Xia Hu |
| 2025 | EMNLP | Self-Ensemble: Mitigating Confidence Distortion for Large Language Models. | Zicheng Xu, Guanchu Wang, Guangyao Zheng, Yu-Neng Chuang, Alex Szalay, Xia Hu, Vladimir Braverman |
| 2025 | EMNLP | A Decoupled Multi-Agent Framework for Complex Text Style Transfer. | Lingxi Zhang, Yu-Neng Chuang, Guanchu Wang, Ruixiang Tang, Xuanting Cai, Rajesh Shenoy, Xia Hu |
| 2025 | ICLR | MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced with Reliable Evaluations. | Shaochen (Henry) Zhong, Yifan Lu, Lize Shao, Bhargav Bhushanam, Xiaocong Du, Yixin Wan, Yucheng Shi, Daochen Zha, Yiwei Wang, Ninghao Liu, Kaixiong Zhou, Shuai Xu, Kai-Wei Chang, Louis Feng, Vipin Chaudhary, Xia Hu |
| 2025 | ICML | Learning to Route LLMs with Confidence Tokens. | Yu-Neng Chuang, Prathusha Kameswara Sarma, Parikshit Gopalan, John Boccio, Sara Bolouki, Xia Hu, Helen Zhou |
| 2025 | IJCNLP | Chain-of-Query: Unleashing the Power of LLMs in SQL-Aided Table Understanding via Multi-Agent Collaboration. | Songyuan Sui, Hongyi Liu, Serena Liu, Li Li, Soo-Hyun Choi, Rui Chen, Xia Hu |
| 2025 | NAACL | DHP Benchmark: Are LLMs Good NLG Evaluators? | Yicheng Wang, Jiayi Yuan, Yu-Neng Chuang, Zhuoer Wang, Yingchi Liu, Mark Cusick, Param Kulkarni, Zhengping Ji, Yasser Ibrahim, Xia Hu |
| 2025 | SP | In-Progress: Structured Pruning in the Wild: Benchmarking Practical Robustness Under Real-World Corruptions. | Jiamu Zhang, Shaochen Zhong, Hoang Anh Duy Le, Xia Hu |
| 2024 | AAAI | Chasing Fairness in Graphs: A GNN Architecture Perspective. | Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu |
| 2024 | CVPR | Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-Rank Experts. | Jialin Wu, Xia Hu, Yaqing Wang, Bo Pang, Radu Soricut |
| 2024 | 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, Hongzhi Yin |
| 2024 | ICDM | 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, Xia Hu |
| 2024 | ICLR | FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods. | Xiaotian Han, Jianfeng Chi, Yu Chen, Qifan Wang, Han Zhao, Na Zou, Xia Hu |
| 2024 | ICML | LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning. | Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Zirui Liu, Chia-Yuan Chang, Huiyuan Chen, Xia Hu |
| 2024 | ICML | KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache. | Zirui Liu, Jiayi Yuan, Hongye Jin, Shaochen (Henry) Zhong, Zhaozhuo Xu, Vladimir Braverman, Beidi Chen, Xia Hu |
| 2024 | ICML | 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, Xia Hu |
| 2024 | ICML | Soft Prompt Recovers Compressed LLMs, Transferably. | Zhaozhuo Xu, Zirui Liu, Beidi Chen, Shaochen (Henry) Zhong, Yuxin Tang, Jue Wang, Kaixiong Zhou, Xia Hu, Anshumali Shrivastava |
| 2024 | ICML | GNNs Also Deserve Editing, and They Need It More Than Once. | Shaochen (Henry) Zhong, Duy Le, Zirui Liu, Zhimeng Jiang, Andrew Ye, Jiamu Zhang, Jiayi Yuan, Kaixiong Zhou, Zhaozhuo Xu, Jing Ma, Shuai Xu, Vipin Chaudhary, Xia Hu |
| 2024 | NAACL | Secure Your Model: An Effective Key Prompt Protection Mechanism for Large Language Models. | Ruixiang Tang, Yu-Neng Chuang, Xuanting Cai, Mengnan Du, Xia Hu |
| 2024 | WSDM | Towards Mitigating Dimensional Collapse of Representations in Collaborative Filtering. | Huiyuan Chen, Vivian Lai, Hongye Jin, Zhimeng Jiang, Mahashweta Das, Xia Hu |
| 2023 | CIKM | DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research. | Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Kwei-Herng Lai, Daochen Zha, Ruixiang Tang, Fan Yang, Alfredo Costilla-Reyes, Kaixiong Zhou, Xiaoqian Jiang, Xia Hu |
| 2023 | CIKM | Tackling Diverse Minorities in Imbalanced Classification. | Kwei-Herng Lai, Daochen Zha, Huiyuan Chen, Mangesh Bendre, Yuzhong Chen, Mahashweta Das, Hao Yang, Xia Hu |
| 2023 | CIKM | Exposing Model Theft: A Robust and Transferable Watermark for Thwarting Model Extraction Attacks. | Ruixiang Tang, Hongye Jin, Mengnan Du, Curtis Wigington, Rajiv Jain, Xia Hu |
| 2023 | EACL | Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding. | Mengnan Du, Subhabrata Mukherjee, Yu Cheng, Milad Shokouhi, Xia Hu, Ahmed Hassan Awadallah |
| 2023 | EMNLP | Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks. | Ruixiang Tang, Gord Lueck, Rodolfo Quispe, Huseyin A. Inan, Janardhan Kulkarni, Xia Hu |
| 2023 | HCI | CAPTAIN: An AI-Based Chatbot for Cyberbullying Prevention and Intervention. | Andrew T. Lian, Alfredo Costilla-Reyes, Xia Hu |
| 2023 | ICDM | 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, Xia Hu |
| 2023 | ICLR | MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization. | Xiaotian Han, Tong Zhao, Yozen Liu, Xia Hu, Neil Shah |
| 2023 | ICML | RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations. | Zirui Liu, Shengyuan Chen, Kaixiong Zhou, Daochen Zha, Xiao Huang, Xia Hu |
| 2023 | IJCAI | Probabilistic Masked Attention Networks for Explainable Sequential Recommendation. | Huiyuan Chen, Kaixiong Zhou, Zhimeng Jiang, Chin-Chia Michael Yeh, Xiaoting Li, Menghai Pan, Yan Zheng, Xia Hu, Hao Yang |
| 2023 | KDD | 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, Xia Hu |
| 2023 | KDD | Data-centric AI: Techniques and Future Perspectives. | Daochen Zha, Kwei-Herng Lai, Fan Yang, Na Zou, Huiji Gao, Xia Hu |
| 2023 | RecSys | Hessian-aware Quantized Node Embeddings for Recommendation. | Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Chin-Chia Michael Yeh, Yan Zheng, Xia Hu, Hao Yang |
| 2023 | WSDM | S2GAE: Self-Supervised Graph Autoencoders are Generalizable Learners with Graph Masking. | Qiaoyu Tan, Ninghao Liu, Xiao Huang, Soo-Hyun Choi, Li Li, Rui Chen, Xia Hu |
| 2023 | WSDM | 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, Xia Hu |
| 2023 | SDM | Context-aware Domain Adaptation for Time Series Anomaly Detection. | Kwei-Herng Lai, Lan Wang, Huiyuan Chen, Kaixiong Zhou, Fei Wang, Hao Yang, Xia Hu |
| 2023 | SDM | Data-centric AI: Perspectives and Challenges. | Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Xia Hu |
| 2023 | SDM | Adaptive Label Smoothing To Regularize Large-Scale Graph Training. | Kaixiong Zhou, Soo-Hyun Choi, Zirui Liu, Ninghao Liu, Fan Yang, Rui Chen, Li Li, Xia Hu |
| 2022 | AAAI | Orthogonal Graph Neural Networks. | Kai Guo, Kaixiong Zhou, Xia Hu, Yu Li, Yi Chang, Xin Wang |
| 2022 | AAAI | Towards Debiasing DNN Models from Spurious Feature Influence. | Mengnan Du, Ruixiang Tang, Weijie Fu, Xia Hu |
| 2022 | AAAI | RES: An Interpretable Replicability Estimation System for Research Publications. | Zhuoer Wang, Qizhang Feng, Mohinish Chatterjee, Xing Zhao, Yezi Liu, Yuening Li, Abhay Kumar Singh, Frank M. Shipman III, Xia Hu, James Caverlee |
| 2022 | AMIA | Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning. | Sirui Ding, Ruixiang Tang, Daochen Zha, Na Zou, Kai Zhang, Xiaoqian Jiang, Xia Hu |
| 2022 | ICLR | DEGREE: Decomposition Based Explanation for Graph Neural Networks. | Qizhang Feng, Ninghao Liu, Fan Yang, Ruixiang Tang, Mengnan Du, Xia Hu |
| 2022 | ICLR | Generalized Demographic Parity for Group Fairness. | Zhimeng Jiang, Xiaotian Han, Chao Fan, Fan Yang, Ali Mostafavi, Xia Hu |
| 2022 | ICLR | 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 |
| 2022 | ICLR | EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression. | Zirui Liu, Kaixiong Zhou, Fan Yang, Li Li, Rui Chen, Xia Hu |
| 2022 | ICML | G-Mixup: Graph Data Augmentation for Graph Classification. | Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Xia Hu |
| 2022 | IJCAI | AutoVideo: An Automated Video Action Recognition System. | Daochen Zha, Zaid Pervaiz Bhat, Yi-Wei Chen, Yicheng Wang, Sirui Ding, Jiaben Chen, Kwei-Herng Lai, Mohammad Qazim Bhat, Anmoll Kumar Jain, Alfredo Costilla-Reyes, Na Zou, Xia Hu |
| 2022 | IJCAI | Table2Graph: Transforming Tabular Data to Unified Weighted Graph. | Kaixiong Zhou, Zirui Liu, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu |
| 2022 | KDD | Towards Learning Disentangled Representations for Time Series. | Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Jingchao Ni, Denghui Zhang, Haifeng Chen, Xia Hu |
| 2022 | KDD | 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, Xia Hu |
| 2022 | RecSys | 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 |
| 2022 | WWW | Geometric Graph Representation Learning via Maximizing Rate Reduction. | Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Qingquan Song, Jundong Li, Xia Hu |
| 2022 | SIGIR | Adversarial Graph Perturbations for Recommendations at Scale. | Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Xia Hu, Fei Wang, Hao Yang |
| 2022 | SDM | Towards Similarity-Aware Time-Series Classification. | Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu |
| 2021 | AAAI | A Unified Taylor Framework for Revisiting Attribution Methods. | Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu |
| 2021 | AAAI | Dynamic Memory based Attention Network for Sequential Recommendation. | Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu |
| 2021 | ICCV | DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization. | Zirui Liu, Haifeng Jin, Ting-Hsiang Wang, Kaixiong Zhou, Xia Hu |
| 2021 | ICDE | AutoOD: Neural Architecture Search for Outlier Detection. | Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu |
| 2021 | ICLR | Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments. | Daochen Zha, Wenye Ma, Lei Yuan, Xia Hu, Ji Liu |
| 2021 | ICML | DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning. | Daochen Zha, Jingru Xie, Wenye Ma, Sheng Zhang, Xiangru Lian, Xia Hu, Ji Liu |
| 2021 | ICWSM | Machine Learning Explanations to Prevent Overtrust in Fake News Detection. | Sina Mohseni, Fan Yang, Shiva K. Pentyala, Mengnan Du, Yi Liu, Nic Lupfer, Xia Hu, Shuiwang Ji, Eric D. Ragan |
| 2021 | KDD | Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution. | Huiqi Deng, Na Zou, Weifu Chen, Guocan Feng, Mengnan Du, Xia Hu |
| 2021 | KDD | Model-Based Counterfactual Synthesizer for Interpretation. | Fan Yang, Sahan Suresh Alva, Jiahao Chen, Xia Hu |
| 2021 | NAACL | Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models. | Mengnan Du, Varun Manjunatha, Rajiv Jain, Ruchi Deshpande, Franck Dernoncourt, Jiuxiang Gu, Tong Sun, Xia Hu |
| 2021 | WWW | Mitigating Gender Bias in Captioning Systems. | Ruixiang Tang, Mengnan Du, Yuening Li, Zirui Liu, Na Zou, Xia Hu |
| 2021 | WSDM | Sparse-Interest Network for Sequential Recommendation. | Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao, Ninghao Liu, Jingren Zhou, Hongxia Yang, Xia Hu |
| 2020 | CIKM | Towards Generalizable Deepfake Detection with Locality-aware AutoEncoder. | Mengnan Du, Shiva K. Pentyala, Yuening Li, Xia Hu |
| 2020 | CIKM | Explainable Recommender Systems via Resolving Learning Representations. | Ninghao Liu, Yong Ge, Li Li, Xia Hu, Rui Chen, Soo-Hyun Choi |
| 2020 | CVPR | Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks. | Haofan Wang, Zifan Wang, Mengnan Du, Fan Yang, Zijian Zhang, Sirui Ding, Piotr Mardziel, Xia Hu |
| 2020 | ICDE | Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution. | Zicun Cong, Lingyang Chu, Lanjun Wang, Xia Hu, Jian Pei |
| 2020 | ICDM | Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning. | Daochen Zha, Kwei-Herng Lai, Mingyang Wan, Xia Hu |
| 2020 | IJCAI | Dual Policy Distillation. | Kwei-Herng Lai, Daochen Zha, Yuening Li, Xia Hu |
| 2020 | IJCAI | RLCard: A Platform for Reinforcement Learning in Card Games. | Daochen Zha, Kwei-Herng Lai, Songyi Huang, Yuanpu Cao, Keerthana Reddy, Juan Vargas, Alex Nguyen, Ruzhe Wei, Junyu Guo, Xia Hu |
| 2020 | IJCAI | Multi-Channel Graph Neural Networks. | Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu |
| 2020 | KDD | Measuring Model Complexity of Neural Networks with Curve Activation Functions. | Xia Hu, Weiqing Liu, Jiang Bian, Jian Pei |
| 2020 | KDD | Policy-GNN: Aggregation Optimization for Graph Neural Networks. | Kwei-Herng Lai, Daochen Zha, Kaixiong Zhou, Xia Hu |
| 2020 | KDD | Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction. | Qingquan Song, Dehua Cheng, Hanning Zhou, Jiyan Yang, Yuandong Tian, Xia Hu |
| 2020 | KDD | An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks. | Ruixiang Tang, Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu |
| 2020 | KDD | XGNN: Towards Model-Level Explanations of Graph Neural Networks. | Hao Yuan, Jiliang Tang, Xia Hu, Shuiwang Ji |
| 2020 | RecSys | AutoRec: An Automated Recommender System. | Ting-Hsiang Wang, Xia Hu, Haifeng Jin, Qingquan Song, Xiaotian Han, Zirui Liu |
| 2020 | WWW | PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning. | Yuening Li, Daochen Zha, Praveen Kumar Venugopal, Na Zou, Xia Hu |
| 2020 | WWW | Learning to Hash with Graph Neural Networks for Recommender Systems. | Qiaoyu Tan, Ninghao Liu, Xing Zhao, Hongxia Yang, Jingren Zhou, Xia Hu |
| 2020 | SDM | Deep Neural Networks with Knowledge Instillation. | Fan Yang, Ninghao Liu, Mengnan Du, Kaixiong Zhou, Shuiwang Ji, Xia Hu |
| 2019 | AAAI | Robust Negative Sampling for Network Embedding. | Mohammadreza Armandpour, Patrick Ding, Jianhua Huang, Xia Hu |
| 2019 | AAAI | Deep Bayesian Optimization on Attributed Graphs. | Jiaxu Cui, Bo Yang, Xia Hu |
| 2019 | AAAI | Large-Scale Heterogeneous Feature Embedding. | Xiao Huang, Qingquan Song, Fan Yang, Xia Hu |
| 2019 | AAAI | Interpreting Deep Models for Text Analysis via Optimization and Regularization Methods. | Hao Yuan, Yongjun Chen, Xia Hu, Shuiwang Ji |
| 2019 | ICDM | Learning Credible Deep Neural Networks with Rationale Regularization. | Mengnan Du, Ninghao Liu, Fan Yang, Xia Hu |
| 2019 | IJCAI | Experience Replay Optimization. | Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu |
| 2019 | IJCNN | Deep Structured Cross-Modal Anomaly Detection. | Yuening Li, Ninghao Liu, Jundong Li, Mengnan Du, Xia Hu |
| 2019 | KDD | Graph Recurrent Networks With Attributed Random Walks. | Xiao Huang, Qingquan Song, Yuening Li, Xia Hu |
| 2019 | KDD | Auto-Keras: An Efficient Neural Architecture Search System. | Haifeng Jin, Qingquan Song, Xia Hu |
| 2019 | KDD | Is a Single Vector Enough?: Exploring Node Polysemy for Network Embedding. | Ninghao Liu, Qiaoyu Tan, Yuening Li, Hongxia Yang, Jingren Zhou, Xia Hu |
| 2019 | KDD | Coupled Variational Recurrent Collaborative Filtering. | Qingquan Song, Shiyu Chang, Xia Hu |
| 2019 | PAKDD | An Interpretable Neural Model with Interactive Stepwise Influence. | Yin Zhang, Ninghao Liu, Shuiwang Ji, James Caverlee, Xia Hu |
| 2019 | WWW | On Attribution of Recurrent Neural Network Predictions via Additive Decomposition. | Mengnan Du, Ninghao Liu, Fan Yang, Shuiwang Ji, Xia Hu |
| 2019 | WSDM | Representation Interpretation with Spatial Encoding and Multimodal Analytics. | Ninghao Liu, Mengnan Du, Xia Hu |
| 2018 | AAAI | Link Prediction With Personalized Social Influence. | Zepeng Huo, Xiao Huang, Xia Hu |
| 2018 | CIKM | Fairness-Aware Tensor-Based Recommendation. | Ziwei Zhu, Xia Hu, James Caverlee |
| 2018 | ICDE | DisTenC: A Distributed Algorithm for Scalable Tensor Completion on Spark. | Hancheng Ge, Kai Zhang, Majid Alfifi, Xia Hu, James Caverlee |
| 2018 | ICDM | Multi-label Adversarial Perturbations. | Qingquan Song, Haifeng Jin, Xiao Huang, Xia Hu |
| 2018 | ICDM | Towards Interpretation of Recommender Systems with Sorted Explanation Paths. | Fan Yang, Ninghao Liu, Suhang Wang, Xia Hu |
| 2018 | IJCAI | Contextual Outlier Interpretation. | Ninghao Liu, Donghwa Shin, Xia Hu |
| 2018 | INFOCOM | Privacy-Preserving Social Media Data Outsourcing. | Jinxue Zhang, Jingchao Sun, Rui Zhang, Yanchao Zhang, Xia Hu |
| 2018 | IECON | Multi-Constrained Routing Based on Particle Swarm Optimization and Fireworks Algorithm. | Youbing Hu, Kun Wang, Jinjiang Wan, Kaidong Wang, Xia Hu |
| 2018 | IECON | Multi-Constrained Routing Optimization Algorithm Based on DAG. | Xia Hu, Kaidong Wang, Jinjiang Wang, Kun Wang, Youbing Hu, Shuangqin Wang |
| 2018 | KDD | Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution. | Lingyang Chu, Xia Hu, Juhua Hu, Lanjun Wang, Jian Pei |
| 2018 | KDD | Towards Explanation of DNN-based Prediction with Guided Feature Inversion. | Mengnan Du, Ninghao Liu, Qingquan Song, Xia Hu |
| 2018 | KDD | On Interpretation of Network Embedding via Taxonomy Induction. | Ninghao Liu, Xiao Huang, Jundong Li, Xia Hu |
| 2018 | KDD | Adversarial Detection with Model Interpretation. | Ninghao Liu, Hongxia Yang, Xia Hu |
| 2018 | RecSys | TrailMix: An Ensemble Recommender System for Playlist Curation and Continuation. | Xing Zhao, Qingquan Song, James Caverlee, Xia Hu |
| 2018 | WSDM | Exploring Expert Cognition for Attributed Network Embedding. | Xiao Huang, Qingquan Song, Jundong Li, Xia Hu |
| 2017 | AAAI | Deep Style Match for Complementary Recommendation. | Kui Zhao, Xia Hu, Jiajun Bu, Can Wang |
| 2017 | CIKM | IDM 2017: Workshop on Interpretable Data Mining - Bridging the Gap between Shallow and Deep Models. | Xia Hu, Shuiwang Ji |
| 2017 | CIKM | Attributed Network Embedding for Learning in a Dynamic Environment. | Jundong Li, Harsh Dani, Xia Hu, Jiliang Tang, Yi Chang, Huan Liu |
| 2017 | IJCAI | Radar: Residual Analysis for Anomaly Detection in Attributed Networks. | Jundong Li, Harsh Dani, Xia Hu, Huan Liu |
| 2017 | IJCAI | Accelerated Local Anomaly Detection via Resolving Attributed Networks. | Ninghao Liu, Xiao Huang, Xia Hu |
| 2017 | ICWSM | Early Identification of Personalized Trending Topics in Microblogging. | Liang Wu, Xia Hu, Huan Liu |
| 2017 | ICWSM | Adaptive Spammer Detection with Sparse Group Modeling. | Liang Wu, Xia Hu, Fred Morstatter, Huan Liu |
| 2017 | ICWSM | Detecting Camouflaged Content Polluters. | Liang Wu, Xia Hu, Fred Morstatter, Huan Liu |
| 2017 | KDD | Multi-Aspect Streaming Tensor Completion. | Qingquan Song, Xiao Huang, Hancheng Ge, James Caverlee, Xia Hu |
| 2017 | WWW | Neural Collaborative Filtering. | Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu, Tat-Seng Chua |
| 2017 | SIGIR | What Are You Known For?: Learning User Topical Profiles with Implicit and Explicit Footprints. | Cheng Cao, Hancheng Ge, Haokai Lu, Xia Hu, James Caverlee |
| 2017 | WSDM | Label Informed Attributed Network Embedding. | Xiao Huang, Jundong Li, Xia Hu |
| 2017 | SDM | Accelerated Attributed Network Embedding. | Xiao Huang, Jundong Li, Xia Hu |
| 2017 | SDM | Gleaning Wisdom from the Past: Early Detection of Emerging Rumors in Social Media. | Liang Wu, Jundong Li, Xia Hu, Huan Liu |
| 2016 | AAAI | From Tweets to Wellness: Wellness Event Detection from Twitter Streams. | Mohammad Akbari, Xia Hu, Liqiang Nie, Tat-Seng Chua |
| 2016 | AAAI | Predicting Online Protest Participation of Social Media Users. | Suhas Ranganath, Fred Morstatter, Xia Hu, Jiliang Tang, Suhang Wang, Huan Liu |
| 2016 | AAAI | Recommendation with Social Dimensions. | Jiliang Tang, Suhang Wang, Xia Hu, Dawei Yin, Yingzhou Bi, Yi Chang, Huan Liu |
| 2016 | CIKM | Data Summarization with Social Contexts. | Hao Zhuang, Rameez Rahman, Xia Hu, Tian Guo, Pan Hui, Karl Aberer |
| 2016 | ICDM | Toward Time-Evolving Feature Selection on Dynamic Networks. | Jundong Li, Xia Hu, Ling Jian, Huan Liu |
| 2016 | ICWSM | Exploring Personal Attributes from Unprotected Interactions. | Pritam Gundecha, Jiliang Tang, Xia Hu, Huan Liu |
| 2016 | ICWSM | Identifying Rhetorical Questions in Social Media. | Suhas Ranganath, Xia Hu, Jiliang Tang, Suhang Wang, Huan Liu |
| 2016 | ICWSM | Your Age Is No Secret: Inferring Microbloggers' Ages via Content and Interaction Analysis. | Jinxue Zhang, Xia Hu, Yanchao Zhang, Huan Liu |
| 2016 | WSDM | Understanding and Identifying Advocates for Political Campaigns on Social Media. | Suhas Ranganath, Xia Hu, Jiliang Tang, Huan Liu |
| 2016 | WSDM | Relational Learning with Social Status Analysis. | Liang Wu, Xia Hu, Huan Liu |
| 2016 | SDM | Robust Unsupervised Feature Selection on Networked Data. | Jundong Li, Xia Hu, Liang Wu, Huan Liu |
| 2015 | AAAI | Content-Aware Point of Interest Recommendation on Location-Based Social Networks. | Huiji Gao, Jiliang Tang, Xia Hu, Huan Liu |
| 2015 | AAAI | Leveraging Social Foci for Information Seeking in Social Media. | Suhas Ranganath, Jiliang Tang, Xia Hu, Hari Sundaram, Huan Liu |
| 2015 | AAAI | Burst Time Prediction in Cascades. | Senzhang Wang, Zhao Yan, Xia Hu, Philip S. Yu, Zhoujun Li |
| 2015 | CIKM | Unsupervised Streaming Feature Selection in Social Media. | Jundong Li, Xia Hu, Jiliang Tang, Huan Liu |
| 2015 | ICDM | Social Answer: A System for Finding Appropriate Sites for Questions in Social Media. | Harsh Dani, Fred Morstatter, Xia Hu, Zhen Yang, Huan Liu |
| 2015 | ICDM | Finding Time-Critical Responses for Information Seeking in Social Media. | Suhas Ranganath, Suhang Wang, Xia Hu, Jiliang Tang, Huan Liu |
| 2015 | IJCAI | Learning Geographical Hierarchy Features for Social Image Location Prediction. | Xiaoming Zhang, Xia Hu, Zhoujun Li |
| 2015 | WWW | Visualizing Social Media Sentiment in Disaster Scenarios. | Yafeng Lu, Xia Hu, Feng Wang, Shamanth Kumar, Huan Liu, Ross Maciejewski |
| 2014 | AAAI | Online Social Spammer Detection. | Xia Hu, Jiliang Tang, Huan Liu |
| 2014 | CIKM | Predictability of Distrust with Interaction Data. | Jiliang Tang, Xia Hu, Yi Chang, Huan Liu |
| 2014 | ICDM | An Improved Collaborative Method for Recommendation and Rating Prediction. | Guoyong Cai, Rui Lv, Hao Wu, Xia Hu |
| 2014 | ICDM | Social Spammer Detection with Sentiment Information. | Xia Hu, Jiliang Tang, Huiji Gao, Huan Liu |
| 2014 | KDD | MMRate: inferring multi-aspect diffusion networks with multi-pattern cascades. | Senzhang Wang, Xia Hu, Philip S. Yu, Zhoujun Li |
| 2014 | SIGIR | Leveraging knowledge across media for spammer detection in microblogging. | Xia Hu, Jiliang Tang, Huan Liu |
| 2014 | SDM | Discriminant Analysis for Unsupervised Feature Selection. | Jiliang Tang, Xia Hu, Huiji Gao, Huan Liu |
| 2013 | AAAI | From Interest to Function: Location Estimation in Social Media. | Yan Chen, Jichang Zhao, Xia Hu, Xiaoming Zhang, Zhoujun Li, Tat-Seng Chua |
| 2013 | CIKM | Modeling temporal effects of human mobile behavior on location-based social networks. | Huiji Gao, Jiliang Tang, Xia Hu, Huan Liu |
| 2013 | IJCAI | Social Spammer Detection in Microblogging. | Xia Hu, Jiliang Tang, Yanchao Zhang, Huan Liu |
| 2013 | IJCAI | Exploiting Local and Global Social Context for Recommendation. | Jiliang Tang, Xia Hu, Huiji Gao, Huan Liu |
| 2013 | RecSys | Exploring temporal effects for location recommendation on location-based social networks. | Huiji Gao, Jiliang Tang, Xia Hu, Huan Liu |
| 2013 | RecSys | Context-aware review helpfulness rating prediction. | Jiliang Tang, Huiji Gao, Xia Hu, Huan Liu |
| 2013 | WWW | Unsupervised sentiment analysis with emotional signals. | Xia Hu, Jiliang Tang, Huiji Gao, Huan Liu |
| 2013 | WSDM | Exploiting social relations for sentiment analysis in microblogging. | Xia Hu, Lei Tang, Jiliang Tang, Huan Liu |
| 2013 | WSDM | Exploiting homophily effect for trust prediction. | Jiliang Tang, Huiji Gao, Xia Hu, Huan Liu |
| 2013 | SDM | Unsupervised Feature Selection for Multi-View Data in Social Media. | Jiliang Tang, Xia Hu, Huiji Gao, Huan Liu |
| 2013 | SDM | ActNeT: Active Learning for Networked Texts in Microblogging. | Xia Hu, Jiliang Tang, Huiji Gao, Huan Liu |
| 2012 | COLING | A Semi-Supervised Bayesian Network Model for Microblog Topic Classification. | Yan Chen, Zhoujun Li, Liqiang Nie, Xia Hu, Xiangyu Wang, Tat-Seng Chua, Xiaoming Zhang |
| 2012 | WWW | Social status and role analysis of palin's email network. | Xia Hu, Huan Liu |
| 2011 | ADC | User Preference Representation Based on Psychometric Models. | Biyun Hu, Zhoujun Li, Wen-Han Chao, Xia Hu, Jun Wang |
| 2011 | CIKM | Enhancing accessibility of microblogging messages using semantic knowledge. | Xia Hu, Lei Tang, Huan Liu |
| 2011 | CIKM | Learning to recommend questions based on public interest. | Jun Wang, Xia Hu, Zhoujun Li, Wen-Han Chao, Biyun Hu |
| 2010 | AVSS | Occlusion-Aided Weights for Local Stereo Matching. | Wei Wang, Caiming Zhang, Xia Hu, Weitao Li |
| 2010 | SIGIR | Segmentation of multi-sentence questions: towards effective question retrieval in cQA services. | Kai Wang, Zhaoyan Ming, Xia Hu, Tat-Seng Chua |
| 2009 | ACL | Query Segmentation Based on Eigenspace Similarity. | Chao Zhang, Nan Sun, Xia Hu, Tingzhu Huang, Tat-Seng Chua |
| 2009 | CIKM | Exploiting internal and external semantics for the clustering of short texts using world knowledge. | Xia Hu, Nan Sun, Chao Zhang, Tat-Seng Chua |
| 2009 | ISNN | Improving Short Text Clustering Performance with Keyword Expansion. | Jun Wang, Yiming Zhou, Lin Li, Biyun Hu, Xia Hu |