Publications
Selected papers from top-tier AI/ML conferences and journals.
Showing 223 of 223 publications
CachePrune: Neural-Based Attribution Defense Against Indirect Prompt Injection Attacks
Rui Wang, Junda Wu, Yu Xia, Tong Yu, Ruiyi Zhang, Ryan A. Rossi, Subrata Mitra, Lina Yao, Julian McAuley
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 McAuley, Jingbo Shang
MemWeaver: Weaving Hybrid Memories for Traceable Long-Horizon Agentic Reasoning
Juexiang Ye, Xue Li, Yang Xinyu, Chengkai Huang, Lanshun Nie, Lina Yao, Dechen Zhan
Advantage-Conditioned Flow Policy for Offline Reinforcement Learning in Recommendation
Xiaocong Chen, Siyu Wang, Lina Yao
RegionSLM: Region-aware Question Answering on Document Screenshots
Chao Wang, Hehe Fan, Huichen Yang, Sarvnaz Karimi, Lina Yao, Yi Yang
Purifying Multimodal Retrieval: Fragment-Level Evidence Selection for RAG
Xihang Wang, Zihan Wang, Chengkai Huang, Cao Liu, Ke Zeng, Quan Z. Sheng, Lina Yao
Factorized Latent Reasoning for LLM-based Recommendation
Tianqi Gao, Chengkai Huang, Zihan Wang, Cao Liu, Ke Zeng, Lina Yao
Unifying Stable Optimization and Reference Regularization in RLHF
Li He, Qiang Qu, He Zhao, Stephen Wan, Dadong Wang, Lina Yao, Tongliang Liu
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
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
Gaussian Mixture Flow Matching with Domain Alignment for Multi-Domain Sequential Recommendation
Xiaoxin Ye, Chengkai Huang, Hongtao Huang, Lina Yao
Dual conditional diffusion models for sequential recommendation
Hongtao Huang, Chengkai Huang, Tong Yu, Xiaojun Chang, Wen Hu, Lina Yao
Dual conditional diffusion models for sequential recommendation
Haowei Lou, Helen Paik, Wen Hu, Lina Yao
Listwise Preference Diffusion Optimization for User Behavior Trajectories Prediction
Hongtao Huang, Chengkai Huang, Junda Wu, Tong Yu, Julian McAuley, Lina Yao
Counterfactual Implicit Feedback Modeling
Haoxuan Li, Chuan Zhou, Lina Yao, Mingming Gong
SAND: Boosting LLM Agents with Self-Taught Action Deliberation
Yu Xia, Yiran Jenny Shen, Junda Wu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Lina Yao, Julian McAuley
Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent
Junda Wu, Yuxin Xiong, Xintong Li, Yu Xia, Yu Wang, Tong Yu, Sungchul Kim, Ryan A. Rossi, Lina Yao, Jingbo Shang, Julian McAuley
CoMMIT: Coordinated Multimodal Instruction Tuning
Xintong Li, Junda Wu, Tong Yu, Rui Wang, Yu Wang, Xiang Chen, Jiuxiang Gu, Lina Yao, Julian McAuley, Jingbo Shang
Addressing the Distortion of Community Representations in Anomaly Detection on Attributed Networks
Enbo He, Yitong Hao, Yue Zhang, Guisheng Yin, Lina Yao
Flexiffusion: Training-Free Segment-Wise Neural Architecture Search for Efficient Diffusion Models
Hongtao Huang, Xiaojun Chang, Lina Yao
Maximum In-Support Return Modeling for Dynamic Recommendation with Language Model Prior
Xiaocong Chen, Siyu Wang, Lina Yao
Energy-Guided Diffusion Sampling for Long-Term User Behavior Prediction in Reinforcement Learning-based Recommendation
Xiaocong Chen, Siyu Wang, Lina Yao
MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning
Lishan Yang, Wei Emma Zhang, Quan Z. Sheng, Lina Yao, Weitong Chen, Ali Shakeri
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
ParaStyleTTS: Toward Efficient and Robust Paralinguistic Style Control for Expressive Text-to-Speech Generation
Haowei Lou, Hye-young Paik, Wen Hu, Lina Yao
Causality-aligned Prompt Learning via Diffusion-based Counterfactual Generation
Xinshu Li, Ruoyu Wang, Erdun Gao, Mingming Gong, Lina Yao
Compositional Zero-Shot Learning with Contextualized Cues and Adaptive Contrastive Training
Yun Li, Lina Yao, Zhe Liu
Weakly-supervised VLM-guided Partial Contrastive Learning for Visual Language Navigation
Ruoyu Wang, Tong Yu, Junda Wu, Yao Liu, Julian McAuley, Lina Yao
Efficient and Generalizable Environmental Understanding for Visual Navigation
Xiaocong Chen, Siyu Wang, Tong Yu, Lina Yao
Click, Type, Repeat: A Comprehensive Survey on GUI Agents
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, 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
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
ProtChatGPT: Towards Understanding Proteins with Hybrid Representation and Large Language Models
Chao Wang, Hehe Fan, Ruijie Quan, Lina Yao, Yi Yang
Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning
Huiyi Wang, Haodong Lu, Lina Yao, Dong Gong
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
Jailbreaking the Non-Transferable Barrier via Test-Time Data Disguising
Yongli Xiang, Ziming Hong, Lina Yao, Dadong Wang, Tongliang Liu
LightLLM: A Versatile Large Language Model for Predictive Light Sensing
Jiawei Hu, Hong Jia, Mahbub Hassan, Lina Yao, Brano Kusy, Wen Hu
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 McAuley
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, Minnan Luo, Qinghua Zheng
Shot2Story: A New Benchmark for Comprehensive Understanding of Multi-shot Videos
Mingfei Han, Linjie Yang, Xiaojun Chang, Lina Yao, Heng Wang
Policy-Guided Causal State Representation for Offline Reinforcement Learning Recommendation
Siyu Wang, Xiaocong Chen, Lina Yao
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
Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models
Chengkai Huang, Yu Xia, Rui Wang, Kaige Xie, Tong Yu, Julian McAuley, Lina Yao
CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models
Saurav Jha, Dong Gong, Lina Yao
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
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 Garcia, Eng Siong Chng, Lina Yao
Independence Constrained Disentangled Representation Learning from Epistemological Perspective
Ruoyu Wang, Lina Yao
Causality-Aware Transformer Networks for Robotic Navigation
Ruoyu Wang, Yao Liu, Yuanjiang Cao, Lina Yao
Improving Efficiency of Unsupervised Skill Discovery by Model Resetting Curriculum
Yuanjiang Cao, Yao Liu, Ruoyu Wang, Quan Z. Sheng, Lina Yao
In-Context Learning for Zero-shot Medical Report Generation
Rui Liu, Mingjie Li, Shen Zhao, Ling Chen, Xiaojun Chang, Lina Yao
On Causally Disentangled State Representation Learning for Reinforcement Learning based Recommender Systems
Siyu Wang, Xiaocong Chen, Lina Yao
Attacking Visually-aware Recommender Systems with Transferable and Imperceptible Adversarial Styles
Shiyi Yang, Chen Wang, Xiwei Xu, Liming Zhu, Lina Yao
DFLStar: A Decentralized Federated Learning Framework with Self-Knowledge Distillation and Participant Selection
Behnaz Soltani, Venus Haghighi, Yipeng Zhou, Quan Z. Sheng, Lina Yao
Multi-agent Traffic Prediction via Denoised Endpoint Distribution
Yao Liu, Ruoyu Wang, Yuanjiang Cao, Quan Z. Sheng, Lina Yao
Self-Distilled Disentangled Learning for Counterfactual Prediction
Xinshu Li, Mingming Gong, Lina Yao
Maximum-Entropy Regularized Decision Transformer with Reward Relabelling for Dynamic Recommendation
Xiaocong Chen, Siyu Wang, Lina Yao
Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning
Yuhao Wu, Jiangchao Yao, Bo Han, Lina Yao, Tongliang Liu
Identifiability of Cross-Domain Recommendation via Causal Subspace Disentanglement
Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao
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
Context-based and Diversity-driven Specificity in Compositional Zero-Shot Learning
Yun Li, Zhe Liu, Hang Chen, Lina Yao
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
Masked Distillation Advances Self-Supervised Transformer Architecture Search
Caixia Yan, Xiaojun Chang, Zhihui Li, Lina Yao, Minnan Luo, Qinghua Zheng
Learning with Mixture of Prototypes for Out-of-Distribution Detection
Haodong Lu, Dong Gong, Shuo Wang, Jason Xue, Lina Yao, Kristen Moore
Exploring Soft Prompt Initialization Strategy for Few-shot Continual Text Classification
Zhehao Zhang, Tong Yu, Handong Zhao, Kaige Xie, Lina Yao, Shuai Li
Distribution-conditioned Adversarial Variational Autoencoder for Valid Instrumental Variable Generation
Xinshu Li, Lina Yao
Design Graph Guided Element Importance-aware Layout generation with Multi-modality Cascade Transformer
Qiuyun Zhang, Bin Guo, Lina Yao, Hao Wang, Xiaotian Qiao, Ying Zhang, Zhiwen Yu
NPCL: Neural Processes for Uncertainty-Aware Continual Learning
Saurav Jha, Dong Gong, He Zhao, Lina Yao
Mask Propagation for Efficient Video Semantic Segmentation
Yuetian Weng, Mingfei Han, Haoyu He, Mingjie Li, Lina Yao, Xiaojun Chang, Bohan Zhuang
Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation
Jing Du, Zesheng Ye, Bin Guo, Zhiwe Yu, Lina Yao
Poisoning Recommender Systems with Model-Agnostic Profile Injection Attacks
Shiyi Yang, Chen Wang, Xiwei Xu, Liming Zhu, Lina Yao
Multi-level Attention Network with Weather Suppression for All-weather Action Detection in UAV Rescue Scenarios
Yao Liu, Binghao Li, Claude Summet, Lina Yao
ALDA: An Adaptive Layout Design Assistant for Diverse Posters Throughout the Design Process
Qiuyun Zhang, Bin Guo, Lina Yao, Han Wang, Ying Zhang, Zhiwen Yu
Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems
Guanglin Zhou, Chengkai Huang, Xiaocong Chen, Xiwei Xu, Chen Wang, Liming Zhu, Lina Yao
NP-SSL: A Modular and Extensible Self-supervised Learning Library with Neural Processes
Zesheng Ye, Jing Du, Yao Liu, Yihong Zhang, Lina Yao
Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning
Yun Li, Zhe Liu, Saurav Jha, Sally Cripps, Lina Yao
HTML: Hybrid Temporal-scale Multimodal Learning Framework for Referring Video Object Segmentation
Mingfei Han, Yali Wang, Zhihui Li, Lina Yao, Xiaojun Chang, Yu Qiao
DREAM: Decoupled Representation via Extraction Attention Module and Supervised Contrastive Learning for Cross-Domain Sequential Recommender
Xiaoxin Ye, Yun Li, Lina Yao
Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning
Siyu Wang, Xiaocong Chen, Dietmar Jannach, Lina Yao
Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation
Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao
Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation
Siyu Wang, Xiaocong Chen, Quan Z. Sheng, Yihong Zhang, Lina Yao
Biased or Debiased: Polarization-Aware Embedding Learning from Social Media Knowledge Graph
Yihong Zhang, Takahiro Hara, Lina Yao
Modeling Temporal Positive and Negative Excitation for Sequential Recommendation
Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao
PateGail: A Federated Mobility Trajectory Generator with Imitation Learning
Huandong Wang, Changzheng Gao, Yuchen Wu, Depeng Jin, Lina Yao, Yong Li
Interest Dynamics Modeling using Generative Neural Processes for Sequential Recommendation
Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao
Exploiting Explicit and Implicit Item relationships for Session-based Recommendation
Zihao Li, Xianzhi Wang, Chao Yang, Lina Yao, Julian McAuley, Guandong Xu
Empowerment-driven Policy Gradient Learning with Counterfactual Augmentation in Recommender Systems
Xiaocong Chen, Lina Yao, Xiaojun Chang, Siyu Wang, Yong Li
Social Graph Transformer Networks for Pedestrian Trajectory Prediction in Complex Social Scenarios
Yao Liu, Lina Yao, Binghao Li, Xianzhi Wang, Claude Sammut
Multi-agent Transformer Networks for Multi-modal Human Activity Recognition
Jingcheng Li, Lina Yao, Binghao Li, Xianzhi Wang, Claude Sammut
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
Mitigating Multi-class Unintended Demographic Bias in Text Classification with Adversarial Learning
Le Pan, Lina Yao, Wenjie Zhang, Xianzhi Wang
Contrastive Graph Learning for Population-based fMRI Classification
Xuesong Wang, Lina Yao, Islem Rekik, Yu Zhang
Harnessing Confidence for Report Aggregation in Crowdsourcing Environments
Hadeel Alhosaini, Xianzhi Wang, Lina Yao, Zhong Yang, Farookh Hussain, Ee-Peng Lim
Locality-Sensitive State-Guided Experience Replay Optimization for Sparse-Reward in Online Recommendation
Xiaocong Chen, Lina Yao, Julian McAuley, Weili Guan, Xiaojun Chang, Xianzhi Wang
Socially-aware Dual Contrastive Learning for Cold-Start Recommendation
Jing Du, Zesheng Ye, Lina Yao, Bin Guo, Zhiwen Yu
Hierarchical Task-aware Multi-Head Attention Network
Jing Du, Lina Yao, Xianzhi Wang, Bin Guo, Zhiwen Yu
Transfer How Much: A Fine-Grained Measure of the Knowledge Transferability of User Behavior Sequences in Social Network
Nuo Li, Bin Guo, Yan Liu, Yasan Ding, En Xu, Lina Yao, Zhiwen Yu
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
Attentional Gated Res2Net for Multivariate Time Series Classification
Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Jing Jiang, Guandong Xu
Cycle-Balanced Representation Learning For Counterfactual Inference
Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu
Global Convolutional Neural Processes
Xuesong Wang, Lina Yao, Xianzhi Wang, Hye-young Paik, Sen Wang
MetaGB: A Gradient Boosting Framework for Efficient Task Adaptive Meta Learning
Manqing Dong, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu
Generative Inverse Deep Reinforcement Learning for Online Recommendation
Xiaocong Chen, Lina Yao, Xianzhi Wang, Aixin Sun, Xiwei Xu, Liming Zhu
NP-PROV: Neural Processes with Position-Relevant-Only Variances
Xuesong Wang, Lina Yao, Xianzhi Wang, Feiping Nie, Boualem Benatallah
RAU: An Interpretable Automatic Infection Diagnosis of COVID-19 Pneumonia with Residual Attention U-net
Xiaocong Chen, Lina Yao, Yu Zhang
Three Birds with One Stone: Multi-Task Temporal Action Detection via Recycling Temporal Annotations
Zhihui Li, Lina Yao
Task Aligned Generative Meta-learning for Zero-shot Learning
Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Guodong Long
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
Lei Bai, Lina Yao, Can Li, Xianzhi Wang, Can Wang
Non-local Self-attentive Autoencoder for Genetic Functionality Prediction
Yun Li, Zhe Liu, Lina Yao, Zihuai He
Exploring Missing Interactions: A Convolutional Generative Adversarial Network for Collaborative Filtering
Feng Yuan, Lina Yao, Boualem Benatallah
Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network
Can Li, Lei Bai, Wei Liu, Lina Yao, Travis S Waller
Spectrum-Guided Adversarial Disparity Learning
Zhe Liu, Lina Yao, Lei Bai, Xianzhi Wang, Can Wang
MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation
Manqing Dong, Feng Yuan, Lina Yao, Xiwei Xu, Liming Zhu
Grounding Visual Concepts for Multimedia Event Detection and Multimedia Event Captioning in Zero-shot Setting
Zhihui Li, Xiaojun Chang, Lina Yao, Shirui Pan, Zongyuan Ge, Huaxiang Zhang
Adversarial Attack and Detection on Reinforcement Learning based Recommendation System
Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Wei Emma Zhang
Adversarial Multi-view Networks for Activity Recognition
Lei Bai, Lina Yao, Xianzhi Wang, Salil S. Kanhere, Bin Guo, Zhiwen Yu
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
Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation
Xiaocong Chen, Chaoran Huang, Lina Yao, Xianzhi Wang, Wei Liu, Wenjie Zhang
Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation
Ye Tao, Can Wang, Lina Yao, Weimin Li, Yonghong Yu
Mobility Irregularity Detection with Smart Transit Card Data
Xuesong Wang, Lina Yao, Wei Liu, Can Li, Lei Bai, S. Travis Waller
Prototype Similarity Learning for Activity Recognition
Lei Bai, Lina Yao, Xianzhi Wang, Salil S. Kanhere, Yang Xiao
Adaptive Two-Dimensional Embedded Image Clustering
Zhihui Li, Lina Yao, Sen Wang, Salil S. Kanhere, Xue Li, Huaxiang Zhang
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
Shape-Oriented Convolution Neural Network for Point Cloud Analysis
Chaoyi Zhang, Yang Song, Lina Yao, Weidong Cai
One-Shot Learning for Long-Tail Visual Relation Detection
Weitao Wang, Meng Wang, Sen Wang, Guodong Long, Lina Yao, Guilin Qi, Yang Chen
Passenger Demographic Attributes Prediction for Human-centered Public Transport
Can Li, Lei Bai, Wei Liu, Lina Yao, S. Travis Waller
Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning
Xiang Zhang, Xiaocong Chen, Lina Yao, Chang Ge, Manqing Dong
Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals
Xiang Zhang, Xiaocong Chen, Manqing Dong, Huan Liu, Chang Ge, Lina Yao
Domain-Aware Unsupervised Cross-Dataset Person Re-Identification
Zhihui Li, Wenhe Liu, Xiaojun Chang, Lina Yao, Mahesh Prakash, Huaxiang Zhang
Reminder Care System: An Activity-Aware Cross-Device Recommendation System
May Altulyan, Chaoran Huang, Lina Yao, Xianzhi Wang, Salil S. Kanhere, Yuanjiang Cao
Expert2Vec: Distributed Expert Representation Learning in Question Answering Community
Xiaocong Chen, Chaoran Huang, Xiang Zhang, Xianzhi Wang, Wei Liu, Lina Yao
Know Your Mind: Adaptive Cognitive Activity Recognition with Reinforced Attentive Convolutional Neural Networks
Xiang Zhang, Lina Yao, Xianzhi Wang, Wenjie Zhang, Shuai Zhang, Yunhao Liu
Attentional Temporal Cues of Brainwaves with Spatial Embedding for Motion Intent Detection
Dalin Zhang, Kaixuan Chen, Debao Jian, Lina Yao, Sen Wang, Po Li
Collective Protection: Preventing Sensitive Inferences via Integrative Transformation
Dalin Zhang, Lina Yao, Kaixuan Chen, Guodong Long, Sen Wang
Learning to Hash for Efficient Search over Incomplete Knowledge Graphs
Meng Wang, Haomin Shen, Sen Wang, Lina Yao, Yinlin Jiang, Guilin Qi, Yang Chen
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
Multi-agent Attentional Activity Recognition
Kaixuan Chen, Lina Yao, Dalin Zhang, Bin Guo, Zhiwen Yu
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
DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns
Feng Yuan, Lina Yao, Boualem Benatallah
Quaternion Collaborative Filtering for Recommendation
Shuai Zhang, Lina Yao, Lucas Vinh Tran, Aston Zhang, Yi Tay
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph
Lu Liu, Tianyi Zhang, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang
Adversarial Variational Embedding for Robust Semi-supervised Learning
Xiang Zhang, Lina Yao, Feng Yuan
Adversarial Collaborative Neural Network for Robust Recommendation
Feng Yuan, Lina Yao, Boualem Benatallah
Adversarial Collaborative Auto-encoder for Top-N Recommendation
Feng Yuan, Lina Yao, Boualem Benatallah
Dual-stream Self-Attentive Random Forest for False Information Detection
Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Xiang Zhang, Quan Z. Sheng
Similarity-aware Deep Attentive Model for Clickbait Detection
Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Chaoran Huang
Passenger Demand Forecasting with Multi-task Convolutional Recurrent Neural Networks
Lei Bai, Lina Yao, Salil S. Kanhere, Zheng Yang, Jing Chu, Xianzhi Wang
Distributionally Robust Semi-supervised Learning for People-centric Sensing
Kaixuan Chen, Lina Yao, Dalin Zhang, Xiaojun Chang, Guodong Long, Sen Wang
Zero-Shot Object Detection with Textual Descriptions
Zhihui Li, Lina Yao, Xiaoqing Zhang, Xianzhi Wang, Salil S. Kanhere, Huaxiang Zhang
Holographic Factorization Machines for Recommendation
Yi Tay, Shuai Zhang, Anh Tuan Luu, Siu Cheung Hui, Lina Yao, Vinh Tran
Predicting Citywide Passenger Demand via Reinforcement Learning from Spatio-Temporal Dynamics
Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah, Flora Salim, Pari Delir Haghighi
Dynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care Unit
Weitong Chen, Sen Wang, Guodong Long, Lina Yao, Quan Zheng Sheng, Xue Li
Ready for Use: Subject-Independent Movement Intention Recognition via A Convolutional Attention Model
Dalin Zhang, Lina Yao, Kaixuan Chen, Sen Wang
DUAL: A Deep Unified Attention Model with Latent Relation Representations for Fake News Detection
Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Michael Sheng, Hao Huang
Data-Augmented Regression with Generative Convolutional Network
Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang
Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships
Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Manqing Dong
MindID: Person Identification from Brain Waves through Attention-based Recurrent Neural Network
Xiang Zhang, Lina Yao, Salil S. Kanhere, Yunhao Liu, Tao Gu, Kaixuan Chen
Automatic Device Classification from Network Traffic Streams of Internet of Things
Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Zheng Yang
NeuRec: On Nonlinear Transformation for Personalized Ranking
Shuai Zhang, Lina Yao, Aixin Sun, Sen Wang, Guodong Long, Manqing Dong
Multi-modality Sensor Data Classification with Selective Attention
Xiang Zhang, Lina Yao, Chaoran Huang, Sen Wang, Mingkui Tan, Guodong Long, Can Wang
Adversarially Regularized Graph Autoencoder
Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang
Interpretable Recurrent Convolutional Neural Networks with Parallel Attentions for Multi-Modality Activity Modeling
Kaixuan Chen, Lina Yao, Xianzhi Wang, Dalin Zhang, Tao Gu, Zhiwen Yu, Zheng Yang
Passenger Demand Prediction with Cellular Footprints
Jing Chu, Kun Qian, Xu Wang, Lina Yao, Fu Xiao, Jianbo Li, Xin Miao, Zheng Yang
Fuzzy Integral Optimization with Deep Q-Network for EEG-based Intention Recognition
Dalin Zhang, Lina Yao, Sen Wang, Kaixuan Chen, Zheng Yang, Boualem Benatallah
EEG-based Motion Intention Recognition via Multi-task RNNs
Weitong Chen, Sen Wang, Xiang Zhang, Lina Yao, Lin Yue, Buyue Qian, Xue Li
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
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
Multi-rate Gated Recurrent Convolutional Networks for Video-Based Pedestrian Re-Identification
Zhihui Li, Lina Yao, Feiping Nie, Dingwen Zhang, Min Xu
Trace Ratio Optimization with Feature Correlation for Mining Multiclass Discriminant Analysis
Forough R. Boroujeni, Sen Wang, Zhihui Li, Nicholas West, Bella Stantic, Lina Yao, Guodong Long
Intent Recognition in Smart Living Through Deep Recurrent Neural Networks
Xiang Zhang, Lina Yao, Chaoran Huang, Quan Zheng Sheng, Xianzhi Wang
Hybrid Collaborative Recommendation via Semi-AutoEncoder
Shuai Zhang, Lina Yao, Xiwei Xu, Sen Wang, Liming Zhu
Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis
Xiang Zhang, Lina Yao, Dalin Zhang, Xianzhi Wang, Quan Z. Sheng, Tao Gu
Gait Optimization for Multiple Humanoid Robots Based on Parallel Multi-swarm Particle Swarm Algorithm
Chunguang Li, Rongyi He, Lina Yao, Chongben Tao
Interpolating the Missing Values for Multi-Dimensional Spatio-Temporal Sensory Data: A Tensor SVD Approach
Peipei Xu, Wenjie Ruan, Quan Z. Sheng, Tao Gu, Lina Yao
SourceVote: Fusing Multi-Valued Data via Inter-Source Agreements
Xiu Susie Fang, Quan Z. Sheng, Xianzhi Wang, Lina Yao, Anne H.H. Ngu
Calling for Response: Automatically Distinguishing Situation-aware Tweets During Crises
Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah
Fault Detection and Localization in Distributed Systems using Recurrent Convolutional Neural Networks
Guangyang Qi, Lina Yao, Anton Uzunov
A Kernel-based Approach to Developing Adaptable and Reusable Sensor Retrieval Systems for the Web of Things
Nguyen Khoi Tran, Quan Z. Sheng, M. Ali Babar, Lina Yao
AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders
Shuai Zhang, Lina Yao, Xiwei Xu
Fall Detection using Smartwatch Sensor Data with Accessor Architecture
Anne Ngu, Yeahuay Wu, Andrew Polican, Habil Zare, Lina Yao
Software Expert Recommendation via Knowledge Domain Embeddings in Stack Overflow
Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Quan Z. Sheng
Multi-Level Privacy-Preserving Access Control as a Service for Ambient Assisted Living
Usama Salama, Lina Yao, Xianzhi Wang, Helen Paik, Amin Beheshti
Learning-based SPARQL Query Performance Modeling and Predication
Wei Emma Zhang, Quan Z. Sheng, Kerry L. Taylor, Yongrui Qin, Lina Yao
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
Empowering Truth Discovery with Multi-Truth Prediction
Xianzhi Wang, Quan Z. Sheng, Lina Yao, Xue Li, Xiu Susie Fang, Xiaofei Xu, Boualem Benatallah
Efficient Orthogonal Non-negative Matrix Factorization over Stiefel Manifold
Wei Emma Zhang, Mingkui Tan, Quan Z. Sheng, Lina Yao, Qinfeng Shi
Context as a Service: Realizing Internet of Things-Aware Processes for the Independent Living of the Elderly
Lina Yao, Boualem Benatallah, Xianzhi Wang, Khoi Nguyen Tran, Qinghua Lu
Uncovering Locally Discriminative Structure for Feature Analysis
Sen Wang, Feiping Nie, Xiaojun Chang, Xue Li, Quan Z. Sheng, Lina Yao
Learning from Less for Better: Semi-Supervised Activity Recognition via Shared Structure Discovery
Lina Yao, Feiping Nie, Quan Z. Sheng, Tao Gu, Xue Li, Sen Wang
Approximate Semantic Matching Over Linked Data Streams
Yongrui Qin, Lina Yao, Quan Z. Sheng
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
PLMwsp: A Probabilistic Latent Model for Web Service QoS Prediction
Bobaker M. A. Madi, Quan Z. Sheng, Lina Yao, Yongrui Qin, Xianzhi Wang
Device-Free Indoor Localization and Tracking through Human-Object Interactions
Wenjie Ruan, Quan Z. Sheng, Lina Yao, Tao Gu, Longfei Shangguan
HOI-Loc: Towards Unobstructive Human Localization with Probabilistic Multi-Sensor Fusion
Wenjie Ruan, Quan Z. Sheng, Lina Yao, Lei Yang, Tao Gu
PreventDark: Automatically Detecting and Preventing Problematic Use of Smartphones in Darkness
Wenjie Ruan, Quan Z. Sheng, Lina Yao, Khoi Nguyen Tran, Yu Chieh Yang
Device-Free 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, Wan Zou
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
ECS: A Framework for Diversified and Relevant Searching for the Internet of Things
Ali Shemshadi, Lina Yao, Yongrui Qin, Quan Z. Sheng
An Integrated Bayesian Approach for Multi-Truth Discovery
Xianzhi Wang, Quan Z. Sheng, Xiu Fang, Lina Yao, Xiaofei Xu, Xue Li
Approximate Truth Discovery via Problem Scale Reduction
Xianzhi Wang, Quan Z. Sheng, Xiu Fang, Xue Li, Xiaofei Xu, Lina Yao
Unsupervised Feature Analysis with Class Margin Optimization
Sen Wang, Feiping Nie, Xiaojun Chang, Lina Yao, Xue Li, Quan Z. Sheng
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
RF-Care: Device-Free Posture Recognition for Elderly People Using Passive RFID Tag Array
Lina Yao, Quan Z. Sheng, Wenjie Ruan, Tao Gu, Xue Li, Nickolas J.G. Falkner, Zhi Yang
TagFall: Towards Device-Free, Fine-Grained Fall Detection based on UHF Passive RFID Tags
Wenjie Ruan, Lina Yao, Quan Z. Sheng, Nickolas J.G. Falkner, Xue Li
Service Recommendation for Mashup Composition with Implicit Correlation Regularization
Lina Yao, Xianzhi Wang, Quan Z. Sheng, Wenjie Ruan, Wei Zhang
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
TagTrack: Device-free Localization and Tracking Using Passive RFID Tags
Wenjie Ruan, Lina Yao, Quan Z. Sheng, Xue Li, Nickolas J.G. Falkner
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 Gao
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
Exploring Recommendations in Internet of Things
Lina Yao, Quan Z. Sheng, Anne H.H. Ngu, Helen Ashman, Xue Li
ServiceXplorer: A Similarity-based Web Service Search Engine
Anne H.H. Ngu, Jiangang Ma, Quan Z. Sheng, Lina Yao, Scott Julian
Keyword Search over Web Documents based on Earth Mover's Distance
Jiangang Ma, Quan Z. Sheng, Lina Yao, Yong Xu, Ali Shemshadi
A Model for Discovering Correlations of Ubiquitous Things
Lina Yao, Quan Z. Sheng, Byron Gao, Anne H.H. Ngu, Xue Li
Recommending Web Services via Combining Collaborative Filtering with Content-based Features
Lina Yao, Quan Z. Sheng, Aviv Segev, Jian Yu
Towards a User-Centric Social Approach to Web Services Composition, Execution, and Monitoring
Zakaria Maamar, Noura Faci, Quan Z. Sheng, Lina Yao
Exploiting Latent Relevance for Relational Learning of Ubiquitous Things
Lina Yao, Quan Z. Sheng
PeerTrack: A Platform for Tracking and Tracing Objects in Large-Scale Traceability Networks
Yanbo Wu, Quan Z. Sheng, Damith Ranasinghe, Lina Yao
Particle Filtering based Availability Prediction for Web Services
Lina Yao, Quan Z. Sheng
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