| 2026 | AAAI | ParaMETA: Towards Learning Disentangled Paralinguistic Speaking Styles Representations from Speech. | Haowei Lou, Hye-young Paik, Wen Hu, Lina Yao |
| 2026 | ACL | SceneAlign: Aligning Multimodal Reasoning to Scene Graphs in Complex Visual Scenes. | Chuhan Wang, Xintong Li, Jennifer Yuntong Zhang, Junda Wu, Chengkai Huang, Lina Yao, Julian J. McAuley, Jingbo Shang |
| 2026 | ACL | CachePrune: Teaching LLMs What Not to Follow via KV-Cache Editing. | Rui Wang, Junda Wu, Yu Xia, Tong Yu, Ruiyi Zhang, Ryan A. Rossi, Subrata Mitra, Lina Yao, Julian J. McAuley |
| 2026 | ACL | MemWeaver: Weaving Hybrid Memories for Traceable Long-Horizon Agentic Reasoning. | Juexiang Ye, Xue Li, Xinyu Yang, Chengkai Huang, Lanshun Nie, Lina Yao, Dechen Zhan |
| 2026 | PAKDD | Federated Large Language Models: Current Progress and Future Directions. | Yuhang Yao, Jianyi Zhang, Junda Wu, Chengkai Huang, Yu Xia, Tong Yu, Ruiyi Zhang, Sungchul Kim, Ryan Rossi, Ang Li, Lina Yao, Julian J. McAuley, Yiran Chen, Carlee Joe-Wong |
| 2026 | WWW | PruneRAG: Confidence-Guided Query Decomposition Trees for Efficient Retrieval-Augmented Generation. | Shuguang Jiao, Xinyu Xiao, Yunfan Wei, Shuhan Qi, Chengkai Huang, Quan Z. Sheng, Lina Yao |
| 2026 | WWW | DrunkAgent: Stealthy Memory Corruption in LLM-Powered Recommender Agents. | Shiyi Yang, Zhibo Hu, Xinshu Li, Chen Wang, Tong Yu, Xiwei Xu, Liming Zhu, Lina Yao |
| 2026 | WWW | Gaussian Mixture Flow Matching with Domain Alignment for Multi-Domain Sequential Recommendation. | Xiaoxin Ye, Chengkai Huang, Hongtao Huang, Lina Yao |
| 2026 | WWW | The 2nd Workshop on Human-Centered Recommender Systems. | Kaike Zhang, Jiakai Tang, Du Su, Shuchang Liu, Julian J. McAuley, Lina Yao, Qi Cao, Yue Feng, Fei Sun |
| 2026 | SIGIR | Advantage-Conditioned Flow Policy for Offline Reinforcement Learning in Recommendation. | Xiaocong Chen, Siyu Wang, Lina Yao |
| 2026 | SIGIR | Factorized Latent Reasoning for LLM-based Recommendation. | Tianqi Gao, Chengkai Huang, Zihan Wang, Cao Liu, Ke Zeng, Lina Yao |
| 2026 | SIGIR | RegionSLM: Region-aware Question Answering on Document Screenshots. | Chao Wang, Hehe Fan, Huichen Yang, Sarvnaz Karimi, Lina Yao, Yi Yang |
| 2026 | SIGIR | Purifying Multimodal Retrieval: Fragment-Level Evidence Selection for RAG. | Xihang Wang, Zihan Wang, Chengkai Huang, Cao Liu, Ke Zeng, Quan Z. Sheng, Lina Yao |
| 2026 | SIGIR | MEG-RAG: Quantifying Multi-modal Evidence Grounding for Evidence Selection in RAG. | Xihang Wang, Zihan Wang, Chengkai Huang, Quan Z. Sheng, Lina Yao |
| 2026 | SIGIR | LLM-UP: SIGIR 2026 Workshop on LLM-powered User Profiling for Search and Recommendation. | Hongzhi Yin, Wei Yuan, Yi Zhang, Joel Mackenzie, Quoc Viet Hung Nguyen, Wayne Xin Zhao, Yong Li, Lina Yao |
| 2026 | WSDM | Dual Conditional Diffusion for Sequential Recommendation. | Hongtao Huang, Chengkai Huang, Tong Yu, Xiaojun Chang, Wen Hu, Julian J. McAuley, Lina Yao |
| 2025 | AAAI | CollageNoter: Real-Time and Adaptive Collage Layout Design for Screenshot-Based E-Note-Taking. | Qiuyun Zhang, Bin Guo, Lina Yao, Xiaotian Qiao, Ying Zhang, Zhiwen Yu |
| 2025 | ACL | GUI Agents: A Survey. | Dang Nguyen, Jian Chen, Yu Wang, Gang Wu, Namyong Park, Zhengmian Hu, Hanjia Lyu, Junda Wu, Ryan Aponte, Yu Xia, Xintong Li, Jing Shi, Hongjie Chen, Viet Dac Lai, Zhouhang Xie, Sungchul Kim, Ruiyi Zhang, Tong Yu, Md. Mehrab Tanjim, Nesreen K. Ahmed, Puneet Mathur, Seunghyun Yoon, Lina Yao, Branislav Kveton, Jihyung Kil, Thien Huu Nguyen, Trung Bui, Tianyi Zhou, Ryan A. Rossi, Franck Dernoncourt |
| 2025 | ADC | Distributional Offline Reinforcement Learning for Recommender Systems. | Xiaocong Chen, Siyu Wang, Lina Yao |
| 2025 | CIKM | PKGRec: Personal Knowledge Graph Construction and Mining for Federated Recommendation Enhancement. | Haochen Yuan, Yang Zhang, Quan Z. Sheng, Lina Yao, Yipeng Zhou, Xiang He, Zhongjie Wang |
| 2025 | CIKM | Energy-Guided Diffusion Sampling for Long-Term User Behavior Prediction in Reinforcement Learning-based Recommendation. | Xiaocong Chen, Siyu Wang, Lina Yao |
| 2025 | CIKM | Maximum In-Support Return Modeling for Dynamic Recommendation with Language Model Prior. | Xiaocong Chen, Siyu Wang, Lina Yao |
| 2025 | CIKM | Addressing the Distortion of Community Representations in Anomaly Detection on Attributed Networks. | Enbo He, Yitong Hao, Yue Zhang, Guisheng Yin, Lina Yao |
| 2025 | CIKM | Flexiffusion: Training-Free Segment-Wise Neural Architecture Search for Efficient Diffusion Models. | Hongtao Huang, Xiaojun Chang, Lina Yao |
| 2025 | CIKM | ParaStyleTTS: Toward Efficient and Robust Paralinguistic Style Control for Expressive Text-to-Speech Generation. | Haowei Lou, Hye-young Paik, Wen Hu, Lina Yao |
| 2025 | CIKM | Achoio: A Skill-Aware Evaluation Management System for Text-To-Speech Research. | Haowei Lou, Hye-Young Paik, Basem Suleiman, Wen Hu, Lina Yao |
| 2025 | CIKM | Eliminating Sentiment Bias in Recommender Systems by Counterfactual Inference. | Le Pan, Yuanjiang Cao, Chengkai Huang, Wenjie Zhang, Lina Yao |
| 2025 | CIKM | MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning. | Lishan Yang, Wei Emma Zhang, Quan Z. Sheng, Lina Yao, Weitong Chen, Ali Shakeri |
| 2025 | COLING | Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models. | Chengkai Huang, Yu Xia, Rui Wang, Kaige Xie, Tong Yu, Julian J. McAuley, Lina Yao |
| 2025 | CVPR | Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning. | Huiyi Wang, Haodong Lu, Lina Yao, Dong Gong |
| 2025 | CVPR | Adapting Text-to-Image Generation with Feature Difference Instruction for Generic Image Restoration. | Chao Wang, Hehe Fan, Huichen Yang, Sarvnaz Karimi, Lina Yao, Yi Yang |
| 2025 | CVPR | Jailbreaking the Non-Transferable Barrier via Test-Time Data Disguising. | Yongli Xiang, Ziming Hong, Lina Yao, Dadong Wang, Tongliang Liu |
| 2025 | EMNLP | CoMMIT: Coordinated Multimodal Instruction Tuning. | Xintong Li, Junda Wu, Tong Yu, Rui Wang, Yu Wang, Xiang Chen, Jiuxiang Gu, Lina Yao, Julian J. McAuley, Jingbo Shang |
| 2025 | EMNLP | Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent. | Junda Wu, Yuxin Xiong, Xintong Li, Yu Xia, Ruoyu Wang, Yu Wang, Tong Yu, Sungchul Kim, Ryan A. Rossi, Lina Yao, Jingbo Shang, Julian J. McAuley |
| 2025 | EMNLP | SAND: Boosting LLM Agents with Self-Taught Action Deliberation. | Yu Xia, Yiran Shen, Junda Wu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Lina Yao, Julian J. McAuley |
| 2025 | ICDM | Beyond Parameters: Locally-Guided Knowledge Distillation for Decentralized Federated Learning. | Behnaz Soltani, Yipeng Zhou, Saqr Khalil Saeed Thabet, Elaf Alhazmi, Lina Yao, Quan Z. Sheng |
| 2025 | ICLR | Shot2Story: A New Benchmark for Comprehensive Understanding of Multi-shot Videos. | Mingfei Han, Linjie Yang, Xiaojun Chang, Lina Yao, Heng Wang |
| 2025 | ICLR | Mining your own secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models. | Saurav Jha, Shiqi Yang, Masato Ishii, Mengjie Zhao, Christian Simon, Muhammad Jehanzeb Mirza, Dong Gong, Lina Yao, Shusuke Takahashi, Yuki Mitsufuji |
| 2025 | ICLR | OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models. | Junda Wu, Xintong Li, Ruoyu Wang, Yu Xia, Yuxin Xiong, Jianing Wang, Tong Yu, Xiang Chen, Branislav Kveton, Lina Yao, Jingbo Shang, Julian J. McAuley |
| 2025 | ICML | Federated In-Context Learning: Iterative Refinement for Improved Answer Quality. | Ruhan Wang, Zhiyong Wang, Chengkai Huang, Rui Wang, Tong Yu, Lina Yao, John C. S. Lui, Dongruo Zhou |
| 2025 | IJCNN | SCGS: Interactive Scale-Controlled 3D Object Segmentation with Gaussian Splatting. | Yue Jin, Yilong Liu, Yuanyang Zhang, Tianchen Zhou, Lina Yao |
| 2025 | IROS | Diffusion Policies for Risk-Averse Behavior Modeling in Offline Reinforcement Learning. | Xiaocong Chen, Siyu Wang, Tong Yu, Lina Yao |
| 2025 | IROS | Weakly-supervised VLM-guided Partial Contrastive Learning for Visual Language Navigation. | Ruoyu Wang, Tong Yu, Junda Wu, Yao Liu, Julian J. McAuley, Lina Yao |
| 2025 | RecSys | A Tutorial on Agentic LLM for Recommender Systems. | Chengkai Huang, Junda Wu, Tong Yu, Julian J. McAuley, Lina Yao |
| 2025 | WWW | Policy-Guided Causal State Representation for Offline Reinforcement Learning Recommendation. | Siyu Wang, Xiaocong Chen, Lina Yao |
| 2025 | WWW | The 3rd Workshop on Personal Intelligence with Generative AI. | Yang Zhang, Wenjie Wang, Xinyu Lin, Fuli Feng, Hongzhi Yin, Wayne Xin Zhao, Lina Yao, Yang Song, Xiangnan He |
| 2025 | SIGIR | ProtChatGPT: Towards Understanding Proteins with Hybrid Representation and Large Language Models. | Chao Wang, Hehe Fan, Ruijie Quan, Lina Yao, Yi Yang |
| 2025 | RO-MAN | LatentSpeech: Latent Diffusion for Text-To-Speech Generation. | Haowei Lou, Hye-Young Paik, Pari Delir Haghighi, Sheng Li, Wen Hu, Lina Yao |
| 2025 | SENSYS | LightLLM: A Versatile Large Language Model for Predictive Light Sensing. | Jiawei Hu, Hong Jia, Mahbub Hassan, Lina Yao, Brano Kusy, Wen Hu |
| 2024 | AAAI | Distribution-Conditioned Adversarial Variational Autoencoder for Valid Instrumental Variable Generation. | Xinshu Li, Lina Yao |
| 2024 | CIKM | DFLStar: A Decentralized Federated Learning Framework with Self-Knowledge Distillation and Participant Selection. | Behnaz Soltani, Venus Haghighi, Yipeng Zhou, Quan Z. Sheng, Lina Yao |
| 2024 | CIKM | On Causally Disentangled State Representation Learning for Reinforcement Learning based Recommender Systems. | Siyu Wang, Xiaocong Chen, Lina Yao |
| 2024 | CIKM | Attacking Visually-aware Recommender Systems with Transferable and Imperceptible Adversarial Styles. | Shiyi Yang, Chen Wang, Xiwei Xu, Liming Zhu, Lina Yao |
| 2024 | CVPR | Context-Based and Diversity-Driven Specificity in Compositional Zero-Shot Learning. | Yun Li, Zhe Liu, Hang Chen, Lina Yao |
| 2024 | EMNLP | Speaking in Wavelet Domain: A Simple and Efficient Approach to Speed up Speech Diffusion Model. | Xiangyu Zhang, Daijiao Liu, Hexin Liu, Qiquan Zhang, Hanyu Meng, Leibny Paola Garca-Perera, Engsiong Chng, Lina Yao |
| 2024 | ICASSP | Exploring Soft Prompt Initialization Strategy for Few-Shot Continual Text Classification. | Zhehao Zhang, Tong Yu, Handong Zhao, Kaige Xie, Lina Yao, Shuai Li |
| 2024 | ICDM | TROPICAL: Transformer-Based Hypergraph Learning for Camouflaged Fraudster Detection. | Venus Haghighi, Behnaz Soltani, Nasrin Shabani, Jia Wu, Yang Zhang, Lina Yao, Quan Z. Sheng, Jian Yang |
| 2024 | ICLR | Learning with Mixture of Prototypes for Out-of-Distribution Detection. | Haodong Lu, Dong Gong, Shuo Wang, Jason Xue, Lina Yao, Kristen Moore |
| 2024 | ICLR | Masked Distillation Advances Self-Supervised Transformer Architecture Search. | Caixia Yan, Xiaojun Chang, Zhihui Li, Lina Yao, Minnan Luo, Qinghua Zheng |
| 2024 | ICML | Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning. | Yuhao Wu, Jiangchao Yao, Bo Han, Lina Yao, Tongliang Liu |
| 2024 | ICONIP | Independence Constrained Disentangled Representation Learning from Epistemological Perspective. | Ruoyu Wang, Lina Yao |
| 2024 | IROS | Multi-agent Traffic Prediction via Denoised Endpoint Distribution. | Yao Liu, Ruoyu Wang, Yuanjiang Cao, Quan Z. Sheng, Lina Yao |
| 2024 | ICSOC | LLM Enhanced Representation for Cold Start Service Recommendation. | Dunlei Rong, Lina Yao, Yinting Zheng, Shuang Yu, Xiaofei Xu, Mingyi Liu, Zhongjie Wang |
| 2024 | KDD | Maximum-Entropy Regularized Decision Transformer with Reward Relabelling for Dynamic Recommendation. | Xiaocong Chen, Siyu Wang, Lina Yao |
| 2024 | KDD | Self-Distilled Disentangled Learning for Counterfactual Prediction. | Xinshu Li, Mingming Gong, Lina Yao |
| 2024 | NAACL | Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning. | Rui Wang, Tong Yu, Ruiyi Zhang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Junda Wu, Subrata Mitra, Lina Yao, Ricardo Henao |
| 2024 | WWW | MatchNAS: Optimizing Edge AI in Sparse-Label Data Contexts via Automating Deep Neural Network Porting for Mobile Deployment. | Hongtao Huang, Xiaojun Chang, Wen Hu, Lina Yao |
| 2024 | SIGIR | Identifiability of Cross-Domain Recommendation via Causal Subspace Disentanglement. | Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao |
| 2024 | WISE | Robust Graph Learning Against Camouflaged Malicious Actors. | Venus Haghighi, Nasrin Shabani, Behnaz Soltani, Lina Yao, Quan Z. Sheng, Jian Yang, Amin Beheshti |
| 2024 | WISE | Regularized Multi-LLMs Collaboration for Enhanced Score-Based Causal Discovery. | Xiaoxuan Li, Yao Liu, Ruoyu Wang, Lina Yao |
| 2024 | WISE | Deconfounded Causality-Aware Parameter-Efficient Fine-Tuning for Problem-Solving Improvement of LLMs. | Ruoyu Wang, Xiaoxuan Li, Lina Yao |
| 2023 | AAAI | PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning. | Huandong Wang, Changzheng Gao, Yuchen Wu, Depeng Jin, Lina Yao, Yong Li |
| 2023 | ADMA | From Time Series to Multi-modality: Classifying Multivariate Time Series via Both 1D and 2D Representations. | Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Guandong Xu |
| 2023 | CIKM | NP-SSL: A Modular and Extensible Self-supervised Learning Library with Neural Processes. | Zesheng Ye, Jing Du, Yao Liu, Yihong Zhang, Lina Yao |
| 2023 | CIKM | Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems. | Guanglin Zhou, Chengkai Huang, Xiaocong Chen, Xiwei Xu, Chen Wang, Liming Zhu, Lina Yao |
| 2023 | ICCV | HTML: Hybrid Temporal-scale Multimodal Learning Framework for Referring Video Object Segmentation. | Mingfei Han, Yali Wang, Zhihui Li, Lina Yao, Xiaojun Chang, Yu Qiao |
| 2023 | ICCV | Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning. | Yun Li, Zhe Liu, Saurav Jha, Lina Yao |
| 2023 | ICDM | Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation. | Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao |
| 2023 | ICDM | Review-Incorporated Model-Agnostic Profile Injection Attacks on Recommender Systems. | Shiyi Yang, Lina Yao, Chen Wang, Xiwei Xu, Liming Zhu |
| 2023 | ICONIP | Multi-level Attention Network with Weather Suppression for All-Weather Action Detection in UAV Rescue Scenarios. | Yao Liu, Binghao Li, Claude Sammut, Lina Yao |
| 2023 | IJCNN | Biased or Debiased: Polarization-aware Embedding Learning from Social Media Knowledge Graph. | Yihong Zhang, Takahiro Hara, Lina Yao |
| 2023 | Mobiquitous | Integrating Social Environment in Machine Learning Model for Debiased Recommendation. | Yihong Zhang, Lina Yao, Takahiro Hara |
| 2023 | RecSys | DREAM: Decoupled Representation via Extraction Attention Module and Supervised Contrastive Learning for Cross-Domain Sequential Recommender. | Xiaoxin Ye, Yun Li, Lina Yao |
| 2023 | WWW | Modeling Temporal Positive and Negative Excitation for Sequential Recommendation. | Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao |
| 2023 | SIGIR | Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation. | Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao |
| 2023 | SIGIR | Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning. | Siyu Wang, Xiaocong Chen, Dietmar Jannach, Lina Yao |
| 2023 | SIGIR | Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation. | Siyu Wang, Xiaocong Chen, Quan Z. Sheng, Yihong Zhang, Lina Yao |
| 2023 | WISE | Meta-learning for Estimating Multiple Treatment Effects with Imbalance. | Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu |
| 2023 | WSDM | IDNP: Interest Dynamics Modeling Using Generative Neural Processes for Sequential Recommendation. | Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao |
| 2023 | WSDM | Exploiting Explicit and Implicit Item relationships for Session-based Recommendation. | Zihao Li, Xianzhi Wang, Chao Yang, Lina Yao, Julian J. McAuley, Guandong Xu |
| 2022 | CIKM | Social Graph Transformer Networks for Pedestrian Trajectory Prediction in Complex Social Scenarios. | Yao Liu, Lina Yao, Binghao Li, Xianzhi Wang, Claude Sammut |
| 2022 | CIKM | Multi-agent Transformer Networks for Multimodal Human Activity Recognition. | Jingcheng Li, Lina Yao, Binghao Li, Xianzhi Wang, Claude Sammut |
| 2022 | CVPR | Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition. | Mingfei Han, David Junhao Zhang, Yali Wang, Rui Yan, Lina Yao, Xiaojun Chang, Yu Qiao |
| 2022 | CVPR | Contrastive Conditional Neural Processes. | Zesheng Ye, Lina Yao |
| 2022 | ICASSP | Attentional Gated Res2net for Multivariate Time Series Classification. | Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Jing Jiang, Guandong Xu |
| 2022 | ICDM | Empowerment-driven Policy Gradient Learning with Counterfactual Augmentation in Recommender Systems. | Xiaocong Chen, Lina Yao, Xiaojun Chang, Siyu Wang |
| 2022 | ICDM | Contrastive Individual Treatment Effects Estimation. | Xinshu Li, Lina Yao |
| 2022 | INDIN | Fault diagnosis for bilinear stochastic distribution systems with actuator fault. | Bo Cao, Lina Yao |
| 2022 | MICCAI | Contrastive Functional Connectivity Graph Learning for Population-based fMRI Classification. | Xuesong Wang, Lina Yao, Islem Rekik, Yu Zhang |
| 2022 | SIGIR | Locality-Sensitive State-Guided Experience Replay Optimization for Sparse Rewards in Online Recommendation. | Xiaocong Chen, Lina Yao, Julian J. McAuley, Weili Guan, Xiaojun Chang, Xianzhi Wang |
| 2022 | SIGIR | Socially-aware Dual Contrastive Learning for Cold-Start Recommendation. | Jing Du, Zesheng Ye, Lina Yao, Bin Guo, Zhiwen Yu |
| 2022 | SIGIR | Hierarchical Task-aware Multi-Head Attention Network. | Jing Du, Lina Yao, Xianzhi Wang, Bin Guo, Zhiwen Yu |
| 2022 | WISE | Graph Neural Network with Self-attention and Multi-task Learning for Credit Default Risk Prediction. | Zihao Li, Xianzhi Wang, Lina Yao, Yakun Chen, Guandong Xu, Ee-Peng Lim |
| 2022 | WISE | Mitigating Multi-class Unintended Demographic Bias in Text Classification with Adversarial Learning. | Le Pan, Lina Yao, Wenjie Zhang, Xianzhi Wang |
| 2022 | SDM | Cycle-Balanced Representation Learning For Counterfactual Inference. | Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu |
| 2021 | AAAI | Task Aligned Generative Meta-learning for Zero-shot Learning. | Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Guodong Long |
| 2021 | ADC | Contextual Bandit Learning for Activity-Aware Things-of-Interest Recommendation in an Assisted Living Environment. | May S. Altulyan, Chaoran Huang, Lina Yao, Xianzhi Wang, Salil S. Kanhere |
| 2021 | ADC | Deep Multi-view Spatio-Temporal Network for Urban Crime Prediction. | Usama Salama, Xiaocong Chen, Lina Yao, Hye-Young Paik, Xianzhi Wang |
| 2021 | ADC | Intention Recognition from Spatio-Temporal Representation of EEG Signals. | Lin Yue, Dongyuan Tian, Jing Jiang, Lina Yao, Weitong Chen, Xiaowei Zhao |
| 2021 | AusDM | HFM++: An Enhanced Holographic Factorization Machine for Recommendation. | Zhengxin Fang, Mingcheng Qu, Shuai Zhang, Jingyu Zhang, Yi Yuan, Lina Yao, Shiping Chen |
| 2021 | CIKM | Generative Inverse Deep Reinforcement Learning for Online Recommendation. | Xiaocong Chen, Lina Yao, Aixin Sun, Xianzhi Wang, Xiwei Xu, Liming Zhu |
| 2021 | CVPR | Three Birds with One Stone: Multi-Task Temporal Action Detection via Recycling Temporal Annotations. | Zhihui Li, Lina Yao |
| 2021 | EWSN | Condor: Mobile Golf Swing Tracking via Sensor Fusion using Conditional Generative Adversarial Networks. | Hong Jia, Jun Liu, Yuezhong Wu, Tomasz Bednarz, Lina Yao, Wen Hu |
| 2021 | ICDM | Global Convolutional Neural Processes. | Xuesong Wang, Lina Yao, Xianzhi Wang, Hye-Young Paik, Sen Wang |
| 2021 | ICDM | MetaGB: A Gradient Boosting Framework for Efficient Task Adaptive Meta Learning. | Manqing Dong, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu |
| 2021 | WISE | RAU: An Interpretable Automatic Infection Diagnosis of COVID-19 Pneumonia with Residual Attention U-Net. | Xiaocong Chen, Lina Yao, Yu Zhang |
| 2021 | WISE | NP-PROV: Neural Processes with Position-Relevant-Only Variances. | Xuesong Wang, Lina Yao, Xianzhi Wang, Feiping Nie, Boualem Benatallah |
| 2020 | AAAI | Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction. | Yang Li, Guodong Long, Tao Shen, Tianyi Zhou, Lina Yao, Huan Huo, Jing Jiang |
| 2020 | AAAI | Adaptive Two-Dimensional Embedded Image Clustering. | Zhihui Li, Lina Yao, Sen Wang, Salil S. Kanhere, Xue Li, Huaxiang Zhang |
| 2020 | AAAI | One-Shot Learning for Long-Tail Visual Relation Detection. | Weitao Wang, Meng Wang, Sen Wang, Guodong Long, Lina Yao, Guilin Qi, Yang Chen |
| 2020 | AAAI | Shape-Oriented Convolution Neural Network for Point Cloud Analysis. | Chaoyi Zhang, Yang Song, Lina Yao, Weidong Cai |
| 2020 | CIKM | Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network. | Can Li, Lei Bai, Wei Liu, Lina Yao, S. Travis Waller |
| 2020 | CIKM | Non-local Self-attentive Autoencoder for Genetic Functionality Prediction. | Yun Li, Zhe Liu, Lina Yao, Zihuai He |
| 2020 | CIKM | Exploring Missing Interactions: A Convolutional Generative Adversarial Network for Collaborative Filtering. | Feng Yuan, Lina Yao, Boualem Benatallah |
| 2020 | ICONIP | Active Object Estimation for Human-Robot Collaborative Tasks. | Chaoran Huang, Lina Yao |
| 2020 | IJCAI | Zero-Shot Object Detection via Learning an Embedding from Semantic Space to Visual Space. | Licheng Zhang, Xianzhi Wang, Lina Yao, Lin Wu, Feng Zheng |
| 2020 | IJCNN | Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation. | Xiaocong Chen, Chaoran Huang, Lina Yao, Xianzhi Wang, Wei Liu, Wenjie Zhang |
| 2020 | IJCNN | Are You A Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction. | Zhe Liu, Lina Yao, Xianzhi Wang, Lei Bai, Jake An |
| 2020 | IJCNN | TRec: Sequential Recommender Based On Latent Item Trend Information. | Ye Tao, Can Wang, Lina Yao, Weimin Li, Yonghong Yu |
| 2020 | IJCNN | Zero-Shot Object Detection with Textual Descriptions Using Convolutional Neural Networks. | Licheng Zhang, Xianzhi Wang, Lina Yao, Feng Zheng |
| 2020 | KDD | MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation. | Manqing Dong, Feng Yuan, Lina Yao, Xiwei Xu, Liming Zhu |
| 2020 | KDD | Grounding Visual Concepts for Zero-Shot Event Detection and Event Captioning. | Zhihui Li, Xiaojun Chang, Lina Yao, Shirui Pan, Zongyuan Ge, Huaxiang Zhang |
| 2020 | KDD | Spectrum-Guided Adversarial Disparity Learning. | Zhe Liu, Lina Yao, Lei Bai, Xianzhi Wang, Can Wang |
| 2020 | PAKDD | Prototype Similarity Learning for Activity Recognition. | Lei Bai, Lina Yao, Xianzhi Wang, Salil S. Kanhere, Yang Xiao |
| 2020 | PAKDD | Mobility Irregularity Detection with Smart Transit Card Data. | Xuesong Wang, Lina Yao, Wei Liu, Can Li, Lei Bai, S. Travis Waller |
| 2020 | SIGIR | Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems. | Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Wei Emma Zhang |
| 2019 | AAAI | Distributionally Robust Semi-Supervised Learning for People-Centric Sensing. | Kaixuan Chen, Lina Yao, Dalin Zhang, Xiaojun Chang, Guodong Long, Sen Wang |
| 2019 | AAAI | Zero-Shot Object Detection with Textual Descriptions. | Zhihui Li, Lina Yao, Xiaoqin Zhang, Xianzhi Wang, Salil S. Kanhere, Huaxiang Zhang |
| 2019 | AAAI | Holographic Factorization Machines for Recommendation. | Yi Tay, Shuai Zhang, Anh Tuan Luu, Siu Cheung Hui, Lina Yao, Tran Dang Quang Vinh |
| 2019 | ADMA | Reminder Care System: An Activity-Aware Cross-Device Recommendation System. | May S. Altulyan, Chaoran Huang, Lina Yao, Xianzhi Wang, Salil S. Kanhere, Yuanjiang Cao |
| 2019 | ADMA | Expert2Vec: Distributed Expert Representation Learning in Question Answering Community. | Xiaocong Chen, Chaoran Huang, Xiang Zhang, Xianzhi Wang, Wei Liu, Lina Yao |
| 2019 | ADMA | Domain-Aware Unsupervised Cross-dataset Person Re-identification. | Zhihui Li, Wenhe Liu, Xiaojun Chang, Lina Yao, Mahesh Prakash, Huaxiang Zhang |
| 2019 | CIKM | Spatio-Temporal Graph Convolutional and Recurrent Networks for Citywide Passenger Demand Prediction. | Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Wei Liu, Zheng Yang |
| 2019 | ICDM | Learning to Hash for Efficient Search Over Incomplete Knowledge Graphs. | Meng Wang, Haomin Shen, Sen Wang, Lina Yao, Yinlin Jiang, Guilin Qi, Yang Chen |
| 2019 | ICDM | Learning Attentional Temporal Cues of Brainwaves with Spatial Embedding for Motion Intent Detection. | Dalin Zhang, Kaixuan Chen, Debao Jian, Lina Yao, Sen Wang, Po Li |
| 2019 | ICDM | Know Your Mind: Adaptive Cognitive Activity Recognition with Reinforced CNN. | Xiang Zhang, Lina Yao, Xianzhi Wang, Wenjie Zhang, Shuai Zhang, Yunhao Liu |
| 2019 | ICDM | Collective Protection: Preventing Sensitive Inferences via Integrative Transformation. | Dalin Zhang, Lina Yao, Kaixuan Chen, Guodong Long, Sen Wang |
| 2019 | ICONIP | Passenger Demographic Attributes Prediction for Human-Centered Public Transport. | Can Li, Lei Bai, Wei Liu, Lina Yao, S. Travis Waller |
| 2019 | ICONIP | Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning. | Xiang Zhang, Xiaocong Chen, Lina Yao, Chang Ge, Manqing Dong |
| 2019 | IJCAI | DeepRec: An Open-source Toolkit for Deep Learning based Recommendation. | Shuai Zhang, Yi Tay, Lina Yao, Bin Wu, Aixin Sun |
| 2019 | IJCAI | Quaternion Collaborative Filtering for Recommendation. | Shuai Zhang, Lina Yao, Lucas Vinh Tran, Aston Zhang, Yi Tay |
| 2019 | IJCAI | STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting. | Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Quan Z. Sheng |
| 2019 | IJCAI | Multi-agent Attentional Activity Recognition. | Kaixuan Chen, Lina Yao, Dalin Zhang, Bin Guo, Zhiwen Yu |
| 2019 | IJCAI | Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph. | Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang |
| 2019 | IJCAI | DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns. | Feng Yuan, Lina Yao, Boualem Benatallah |
| 2019 | IJCNN | Dual-stream Self-Attentive Random Forest for False Information Detection. | Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Xiang Zhang, Quan Z. Sheng |
| 2019 | IJCNN | Adversarial Collaborative Auto-encoder for Top-N Recommendation. | Feng Yuan, Lina Yao, Boualem Benatallah |
| 2019 | KDD | Adversarial Variational Embedding for Robust Semi-supervised Learning. | Xiang Zhang, Lina Yao, Feng Yuan |
| 2019 | PAKDD | Passenger Demand Forecasting with Multi-Task Convolutional Recurrent Neural Networks. | Lei Bai, Lina Yao, Salil S. Kanhere, Zheng Yang, Jing Chu, Xianzhi Wang |
| 2019 | PAKDD | Similarity-Aware Deep Attentive Model for Clickbait Detection. | Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Chaoran Huang |
| 2019 | SIGIR | Adversarial Collaborative Neural Network for Robust Recommendation. | Feng Yuan, Lina Yao, Boualem Benatallah |
| 2019 | SENSYS | Mobile golf swing tracking using deep learning with data fusion: poster abstract. | Hong Jia, Yuezhong Wu, Jun Liu, Lina Yao, Wen Hu |
| 2018 | AAAI | Trace Ratio Optimization With Feature Correlation Mining for Multiclass Discriminant Analysis. | Forough Rezaei Boroujeni, Sen Wang, Zhihui Li, Nicholas West, Bela Stantic, Lina Yao, Guodong Long |
| 2018 | AAAI | Multi-Rate Gated Recurrent Convolutional Networks for Video-Based Pedestrian Re-Identification. | Zhihui Li, Lina Yao, Feiping Nie, Dingwen Zhang, Min Xu |
| 2018 | AAAI | Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface. | Dalin Zhang, Lina Yao, Xiang Zhang, Sen Wang, Weitong Chen, Robert Boots, Boualem Benatallah |
| 2018 | CIKM | Ready for Use: Subject-Independent Movement Intention Recognition via a Convolutional Attention Model. | Dalin Zhang, Lina Yao, Kaixuan Chen, Sen Wang |
| 2018 | ICBC | A Simulation Approach for Studying Behavior and Quality of Blockchain Networks. | Bozhi Wang, Shiping Chen, Lina Yao, Bin Liu, Xiwei Xu, Liming Zhu |
| 2018 | ICDM | Dynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care Unit. | Weitong Chen, Sen Wang, Guodong Long, Lina Yao, Quan Z. Sheng, Xue Li |
| 2018 | IJCAI | Adversarially Regularized Graph Autoencoder for Graph Embedding. | Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang |
| 2018 | IJCAI | Multi-modality Sensor Data Classification with Selective Attention. | Xiang Zhang, Lina Yao, Chaoran Huang, Sen Wang, Mingkui Tan, Guodong Long, Can Wang |
| 2018 | IJCAI | NeuRec: On Nonlinear Transformation for Personalized Ranking. | Shuai Zhang, Lina Yao, Aixin Sun, Sen Wang, Guodong Long, Manqing Dong |
| 2018 | IJCNN | Interpretable Parallel Recurrent Neural Networks with Convolutional Attentions for Multi-Modality Activity Modeling. | Kaixuan Chen, Lina Yao, Xianzhi Wang, Dalin Zhang, Tao Gu, Zhiwen Yu, Zheng Yang |
| 2018 | ICSOC | Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships. | Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Manqing Dong |
| 2018 | IECON | Industry 4.0, How to Integrate Legacy Devices: A Cloud IoT Approach. | Marcosiris A. O. Pessoa, Marcos A. Pisching, Lina Yao, Fabrcio Junqueira, Paulo E. Miyagi, Boualem Benatallah |
| 2018 | LCN | Automatic Device Classification from Network Traffic Streams of Internet of Things. | Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Zheng Yang |
| 2018 | Mobiquitous | Predicting Citywide Passenger Demand via Reinforcement Learning from Spatio-Temporal Dynamics. | Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah, Flora D. Salim, Pari Delir Haghighi |
| 2018 | PAKDD | Mining POI Alias from Microblog Conversations. | Yihong Zhang, Lina Yao |
| 2018 | PAKDD | Fuzzy Integral Optimization with Deep Q-Network for EEG-Based Intention Recognition. | Dalin Zhang, Lina Yao, Sen Wang, Kaixuan Chen, Zheng Yang, Boualem Benatallah |
| 2018 | PERCOM | Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals. | Xiang Zhang, Lina Yao, Quan Z. Sheng, Salil S. Kanhere, Tao Gu, Dalin Zhang |
| 2018 | WISE | DUAL: A Deep Unified Attention Model with Latent Relation Representations for Fake News Detection. | Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Quan Z. Sheng, Hao Huang |
| 2018 | WISE | Data-Augmented Regression with Generative Convolutional Network. | Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Xiang Zhang |
| 2018 | SDM | EEG-based Motion Intention Recognition via Multi-task RNNs. | Weitong Chen, Sen Wang, Xiang Zhang, Lina Yao, Lin Yue, Buyue Qian, Xue Li |
| 2018 | SECON | Passenger Demand Prediction with Cellular Footprints. | Jing Chu, Kun Qian, Xu Wang, Lina Yao, Fu Xiao, Jianbo Li, Xin Miao, Zheng Yang |
| 2017 | ADMA | Calling for Response: Automatically Distinguishing Situation-Aware Tweets During Crises. | Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah |
| 2017 | ADMA | Fault Detection and Localization in Distributed Systems Using Recurrent Convolutional Neural Networks. | Guangyang Qi, Lina Yao, Anton V. Uzunov |
| 2017 | ER | SourceVote: Fusing Multi-valued Data via Inter-source Agreements. | Xiu Susie Fang, Quan Z. Sheng, Xianzhi Wang, Mahmoud Barhamgi, Lina Yao, Anne H. H. Ngu |
| 2017 | ICONIP | Intent Recognition in Smart Living Through Deep Recurrent Neural Networks. | Xiang Zhang, Lina Yao, Chaoran Huang, Quan Z. Sheng, Xianzhi Wang |
| 2017 | ICONIP | Hybrid Collaborative Recommendation via Semi-AutoEncoder. | Shuai Zhang, Lina Yao, Xiwei Xu, Sen Wang, Liming Zhu |
| 2017 | ICWS | Expert as a Service: Software Expert Recommendation via Knowledge Domain Embeddings in Stack Overflow. | Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Quan Z. Sheng |
| 2017 | ICWS | Multi-Level Privacy-Preserving Access Control as a Service for Personal Healthcare Monitoring. | Usama Salama, Lina Yao, Xianzhi Wang, Hye-Young Paik, Amin Beheshti |
| 2017 | Mobiquitous | Gait Optimization for Multiple Humanoid Robots Based on Parallel Multi-swarm Particle Swarm Algorithm. | Chunguang Li, Rongyi He, Lina Yao, Chongben Tao |
| 2017 | Mobiquitous | Interpolating the Missing Values for Multi-Dimensional Spatial-Temporal Sensor Data: A Tensor SVD Approach. | Peipei Xu, Wenjie Ruan, Quan Z. Sheng, Tao Gu, Lina Yao |
| 2017 | Mobiquitous | Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis. | Xiang Zhang, Lina Yao, Dalin Zhang, Xianzhi Wang, Quan Z. Sheng, Tao Gu |
| 2017 | SIGIR | AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders. | Shuai Zhang, Lina Yao, Xiwei Xu |
| 2017 | WISE | A Kernel-Based Approach to Developing Adaptable and Reusable Sensor Retrieval Systems for the Web of Things. | Nguyen Khoi Tran, Quan Z. Sheng, Muhammad Ali Babar, Lina Yao |
| 2016 | ADMA | Recognizing Daily Living Activity Using Embedded Sensors in Smartphones: A Data-Driven Approach. | Wenjie Ruan, Leon Chea, Quan Z. Sheng, Lina Yao |
| 2016 | BigData | Identification as a Service: Large-Scale Cloud Service Discovery over the World Wide Web. | Abdullah Alfazi, Quan Z. Sheng, Wei Emma Zhang, Lina Yao, Talal H. Noor |
| 2016 | CIKM | Truth Discovery via Exploiting Implications from Multi-Source Data. | Xianzhi Wang, Quan Z. Sheng, Lina Yao, Xue Li, Xiu Susie Fang, Xiaofei Xu, Boualem Benatallah |
| 2016 | CIKM | Empowering Truth Discovery with Multi-Truth Prediction. | Xianzhi Wang, Quan Z. Sheng, Lina Yao, Xue Li, Xiu Susie Fang, Xiaofei Xu, Boualem Benatallah |
| 2016 | CIKM | Efficient Orthogonal Non-negative Matrix Factorization over Stiefel Manifold. | Wei Emma Zhang, Mingkui Tan, Quan Z. Sheng, Lina Yao, Qinfeng Shi |
| 2016 | DEXA | Approximate Semantic Matching over Linked Data Streams. | Yongrui Qin, Lina Yao, Quan Z. Sheng |
| 2016 | ICSOC | Context as a Service: Realizing Internet of Things-Aware Processes for the Independent Living of the Elderly. | Lina Yao, Boualem Benatallah, Xianzhi Wang, Nguyen Khoi Tran, Qinghua Lu |
| 2016 | ICWS | PLMwsp: Probabilistic Latent Model for Web Service QoS Prediction. | Bobaker Mohamed A. Madi, Quan Z. Sheng, Lina Yao, Yongrui Qin, Xianzhi Wang |
| 2016 | PERCOM | PreventDark: Automatically detecting and preventing problematic use of smartphones in darkness. | Wenjie Ruan, Quan Z. Sheng, Lina Yao, Nguyen Khoi Tran, Yu Chieh Yang |
| 2016 | PERCOM | HOI-Loc: Towards unobstructive human localization with probabilistic multi-sensor fusion. | Wenjie Ruan, Quan Z. Sheng, Lina Yao, Lei Yang, Tao Gu |
| 2016 | SAC | SECF: improving SPARQL querying performance with proactive fetching and caching. | Wei Emma Zhang, Quan Z. Sheng, Yongrui Qin, Lina Yao, Ali Shemshadi, Kerry L. Taylor |
| 2016 | WISE | Learning-Based SPARQL Query Performance Prediction. | Wei Emma Zhang, Quan Z. Sheng, Kerry L. Taylor, Yongrui Qin, Lina Yao |
| 2016 | WoWMoM | Device-free indoor localization and tracking through Human-Object Interactions. | Wenjie Ruan, Quan Z. Sheng, Lina Yao, Tao Gu, Michele Ruta, Longfei Shangguan |
| 2015 | CIKM | Approximate Truth Discovery via Problem Scale Reduction. | Xianzhi Wang, Quan Z. Sheng, Xiu Susie Fang, Xue Li, Xiaofei Xu, Lina Yao |
| 2015 | CIKM | An Integrated Bayesian Approach for Effective Multi-Truth Discovery. | Xianzhi Wang, Quan Z. Sheng, Xiu Susie Fang, Lina Yao, Xiaofei Xu, Xue Li |
| 2015 | ICDM | Freedom: Online Activity Recognition via Dictionary-Based Sparse Representation of RFID Sensing Data. | Lina Yao, Quan Z. Sheng, Xue Li, Sen Wang, Tao Gu, Wenjie Ruan, Wan Zou |
| 2015 | ICPADS | Unobtrusive Posture Recognition via Online Learning of Multi-dimensional RFID Received Signal Strength. | Lina Yao, Quan Z. Sheng, Wenjie Ruan, Xue Li, Sen Wang, Zhi Yang |
| 2015 | ICWS | Service Recommendation for Mashup Composition with Implicit Correlation Regularization. | Lina Yao, Xianzhi Wang, Quan Z. Sheng, Wenjie Ruan, Wei Zhang |
| 2015 | Mobiquitous | TagFall: Towards Unobstructive Fine-Grained Fall Detection based on UHF Passive RFID Tags. | Wenjie Ruan, Lina Yao, Quan Z. Sheng, Nickolas J. G. Falkner, Xue Li, Tao Gu |
| 2015 | SIGIR | Context-aware Point-of-Interest Recommendation Using Tensor Factorization with Social Regularization. | Lina Yao, Quan Z. Sheng, Yongrui Qin, Xianzhi Wang, Ali Shemshadi, Qi He |
| 2015 | WISE | ECS: A Framework for Diversified and Relevant Search in the Internet of Things. | Ali Shemshadi, Lina Yao, Yongrui Qin, Quan Z. Sheng, Yihong Zhang |
| 2014 | CIKM | Exploring Tag-Free RFID-Based Passive Localization and Tracking via Learning-Based Probabilistic Approaches. | Lina Yao, Wenjie Ruan, Quan Z. Sheng, Xue Li, Nickolas J. G. Falkner |
| 2014 | CIKM | Keeping You in the Loop: Enabling Web-based Things Management in the Internet of Things. | Lina Yao, Quan Z. Sheng, Anne H. H. Ngu, Byron J. Gao |
| 2014 | Mobiquitous | TagTrack: device-free localization and tracking using passive RFID tags. | Wenjie Ruan, Lina Yao, Quan Z. Sheng, Nickolas J. G. Falkner, Xue Li |
| 2014 | Mobiquitous | ThingsNavi: finding most-related things via multi-dimensional modeling of human-thing interactions. | Lina Yao, Quan Z. Sheng, Nickolas J. G. Falkner, Anne H. H. Ngu |
| 2014 | SIGIR | ServiceXplorer: a similarity-based web service search engine. | Anne H. H. Ngu, Jiangang Ma, Quan Z. Sheng, Lina Yao, Scott Julian |
| 2014 | SIGIR | Exploring recommendations in internet of things. | Lina Yao, Quan Z. Sheng, Anne H. H. Ngu, Helen Ashman, Xue Li |
| 2014 | WISE | Keyword Search over Web Documents Based on Earth Mover's Distance. | Jiangang Ma, Quan Z. Sheng, Lina Yao, Yong Xu, Ali Shemshadi |
| 2013 | ANT | The 3 | Lina Yao, Sujith Samuel Mathew, Michele Ruta |
| 2013 | ICDM | A Model for Discovering Correlations of Ubiquitous Things. | Lina Yao, Quan Z. Sheng, Byron J. Gao, Anne H. H. Ngu, Xue Li |
| 2013 | ICWS | Recommending Web Services via Combining Collaborative Filtering with Content-Based Features. | Lina Yao, Quan Z. Sheng, Aviv Segev, Jian Yu |
| 2013 | WWW | Correlation discovery in web of things. | Lina Yao, Quan Z. Sheng |
| 2012 | CIKM | Exploiting latent relevance for relational learning of ubiquitous things. | Lina Yao, Quan Z. Sheng |
| 2012 | CIKM | A tag-centric discriminative model for web objects classification. | Lina Yao, Quan Z. Sheng |
| 2012 | EDBT | PeerTrack: a platform for tracking and tracing objects in large-scale traceability networks. | Yanbo Wu, Quan Z. Sheng, Damith Chinthana Ranasinghe, Lina Yao |
| 2012 | WISE | Towards a User-Centric Social Approach to Web Services Composition, Execution, and Monitoring. | Zakaria Maamar, Noura Faci, Quan Z. Sheng, Lina Yao |
| 2011 | ICSOC | A Propagation Model for Integrating Web of Things and Social Networks. | Lina Yao |
| 2011 | ICSOC | Particle Filtering Based Availability Prediction for Web Services. | Lina Yao, Quan Z. Sheng |
| 2007 | ICNC | A Novel Multi-object Trade-Off Mechanism Model Based on Process Management in Software Project. | Lina Yao |