Lina Yao - RankMe

615 papers A* 94A 52B 20C 16Misc 13Journal 364Unranked 49

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey on Reinforcement Learning Methods for UAV Systems. ACM Comput. Surv. Hengsheng Chen, Yuanguo Lin, Mingjian Fu, Lina Yao, Quan Z. Sheng
2026	J	`jnl`	BrainVista: Modeling Naturalistic Brain Dynamics as Multimodal Next-Token Prediction. CoRR Xuanhua Yin, Runkai Zhao, Lina Yao, Tom Weidong Cai
2026	J	`jnl`	Chem4DLLM: 4D Multimodal LLMs for Chemical Dynamics Understanding. CoRR Xinyu Li, Zhen Zhang, Qi Chen, Anton van den Hengel, Lina Yao, Javen Qinfeng Shi
2026	J	`jnl`	Disentangling Political Bias in Social Media Data Through Multitask Embedding Learning. IEEE Trans. Comput. Soc. Syst. Yihong Zhang, Takahiro Hara, Lina Yao
2026	A*	`conf`	DrunkAgent: Stealthy Memory Corruption in LLM-Powered Recommender Agents. WWW Shiyi Yang, Zhibo Hu, Xinshu Li, Chen Wang, Tong Yu, Xiwei Xu, Liming Zhu, Lina Yao
2026	A	`conf`	Dual Conditional Diffusion for Sequential Recommendation. WSDM Hongtao Huang, Chengkai Huang, Tong Yu, Xiaojun Chang, Wen Hu, Julian J. McAuley, Lina Yao
2026	J	`jnl`	From Small to Large: In-Context Learning as a New Paradigm for Domain Generalization. Int. J. Comput. Vis. Guanglin Zhou, Zhongyi Han, Shaoan Xie, Shiming Chen, Biwei Huang, Liming Zhu, Xinbo Gao, Lina Yao, Salman H. Khan
2026	A*	`conf`	Gaussian Mixture Flow Matching with Domain Alignment for Multi-Domain Sequential Recommendation. WWW Xiaoxin Ye, Chengkai Huang, Hongtao Huang, Lina Yao
2026	J	`jnl`	Generative Chain of Behavior for User Trajectory Prediction. CoRR Chengkai Huang, Xiaodi Chen, Hongtao Huang, Quan Z. Sheng, Lina Yao
2026	J	`jnl`	Introduction to the Special Issue on Deep Reinforcement Learning for Recommender Systems. Trans. Recomm. Syst. Lianyong Qi, Shoujin Wang, Victor S. Sheng, Lina Yao
2026	J	`jnl`	Learning to Retrieve Navigable Candidates for Efficient Vision-and-Language Navigation. CoRR Shutian Gu, Chengkai Huang, Ruoyu Wang, Lina Yao
2026	A*	`conf`	ParaMETA: Towards Learning Disentangled Paralinguistic Speaking Styles Representations from Speech. AAAI Haowei Lou, Hye-Young Paik, Wen Hu, Lina Yao
2026	J	`jnl`	ParaMETA: Towards Learning Disentangled Paralinguistic Speaking Styles Representations from Speech. CoRR Haowei Lou, Hye-Young Paik, Wen Hu, Lina Yao
2026	A*	`conf`	PruneRAG: Confidence-Guided Query Decomposition Trees for Efficient Retrieval-Augmented Generation. WWW Shuguang Jiao, Xinyu Xiao, Yunfan Wei, Shuhan Qi, Chengkai Huang, Quan Z. Sheng, Lina Yao
2026	J	`jnl`	PruneRAG: Confidence-Guided Query Decomposition Trees for Efficient Retrieval-Augmented Generation. CoRR Shuguang Jiao, Xinyu Xiao, Yunfan Wei, Shuhan Qi, Chengkai Huang, Quan Z. Michael Sheng, Lina Yao
2026	J	`jnl`	SceneAlign: Aligning Multimodal Reasoning to Scene Graphs in Complex Visual Scenes. CoRR Chuhan Wang, Xintong Li, Jennifer Yuntong Zhang, Junda Wu, Chengkai Huang, Lina Yao, Julian J. McAuley, Jingbo Shang
2026	J	`jnl`	Self-supervised transformer architecture search via multi-level masked information fusion. Inf. Fusion Caixia Yan, Xiaojun Chang, Weizhan Zhang, Zhihui Li, Lina Yao, Minnan Luo, Feng Tian
2026	J	`jnl`	Suppressing Prior-Comparison Hallucinations in Radiology Report Generation via Semantically Decoupled Latent Steering. CoRR Ao Li, Rui Liu, Mingjie Li, Sheng Liu, Lei Wang, Xiaodan Liang, Lina Yao, Xiaojun Chang, Lei Xing
2026	J	`jnl`	Unifying Stable Optimization and Reference Regularization in RLHF. CoRR Li He, Qiang Qu, He Zhao, Stephen Wan, Dadong Wang, Lina Yao, Tongliang Liu
2026	J	`jnl`	Unlocking Prototype Potential: An Efficient Tuning Framework for Few-Shot Class-Incremental Learning. CoRR Shengqin Jiang, Xiaoran Feng, Yuankai Qi, Haokui Zhang, Renlong Hang, Qingshan Liu, Lina Yao, Quan Z. Sheng, Ming-Hsuan Yang
2026	J	`jnl`	WS-GRPO: Weakly-Supervised Group-Relative Policy Optimization for Rollout-Efficient Reasoning. CoRR Gagan Mundada, Zihan Huang, Rohan Surana, Sheldon Yu, Jennifer Yuntong Zhang, Xintong Li, Tong Yu, Lina Yao, Jingbo Shang, Julian J. McAuley, Xiaojun Wu
2025	J	`jnl`	A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms. CoRR Chengkai Huang, Hongtao Huang, Tong Yu, Kaige Xie, Junda Wu, Shuai Zhang, Julian J. McAuley, Dietmar Jannach, Lina Yao
2025	A	`conf`	A Tutorial on Agentic LLM for Recommender Systems. RecSys Chengkai Huang, Junda Wu, Tong Yu, Julian J. McAuley, Lina Yao
2025	A	`conf`	Achoio: A Skill-Aware Evaluation Management System for Text-To-Speech Research. CIKM Haowei Lou, Hye-Young Paik, Basem Suleiman, Wen Hu, Lina Yao
2025	A*	`conf`	Adapting Text-to-Image Generation with Feature Difference Instruction for Generic Image Restoration. CVPR Chao Wang, Hehe Fan, Huichen Yang, Sarvnaz Karimi, Lina Yao, Yi Yang
2025	A	`conf`	Addressing the Distortion of Community Representations in Anomaly Detection on Attributed Networks. CIKM Enbo He, Yitong Hao, Yue Zhang, Guisheng Yin, Lina Yao
2025	J	`jnl`	Beyond Negative Transfer: Disentangled Preference-Guided Diffusion for Cross-Domain Sequential Recommendation. CoRR Xiaoxin Ye, Chengkai Huang, Hongtao Huang, Lina Yao
2025	A*	`conf`	Beyond Parameters: Locally-Guided Knowledge Distillation for Decentralized Federated Learning. ICDM Behnaz Soltani, Yipeng Zhou, Saqr Khalil Saeed Thabet, Elaf Alhazmi, Lina Yao, Quan Z. Sheng
2025	J	`jnl`	Beyond pairwise relationships: a transformer-based hypergraph learning approach for fraud detection. Knowl. Inf. Syst. Venus Haghighi, Behnaz Soltani, Nasrin Shabani, Jia Wu, Yang Zhang, Lina Yao, Jian Yang, Quan Z. Sheng
2025	J	`jnl`	CachePrune: Neural-Based Attribution Defense Against Indirect Prompt Injection Attacks. CoRR Rui Wang, Junda Wu, Yu Xia, Tong Yu, Ruiyi Zhang, Ryan A. Rossi, Lina Yao, Julian J. McAuley
2025	A*	`conf`	Causality-aligned Prompt Learning via Diffusion-based Counterfactual Generation. ACM Multimedia Xinshu Li, Ruoyu Wang, Erdun Gao, Mingming Gong, Lina Yao
2025	J	`jnl`	Causality-aligned Prompt Learning via Diffusion-based Counterfactual Generation. CoRR Xinshu Li, Ruoyu Wang, Erdun Gao, Mingming Gong, Lina Yao
2025	A*	`conf`	CoMMIT: Coordinated Multimodal Instruction Tuning. EMNLP Xintong Li, Junda Wu, Tong Yu, Rui Wang, Yu Wang, Xiang Chen, Jiuxiang Gu, Lina Yao, Julian J. McAuley, Jingbo Shang
2025	A*	`conf`	CollageNoter: Real-Time and Adaptive Collage Layout Design for Screenshot-Based E-Note-Taking. AAAI Qiuyun Zhang, Bin Guo, Lina Yao, Xiaotian Qiao, Ying Zhang, Zhiwen Yu
2025	A*	`conf`	Compositional Zero-Shot Learning with Contextualized Cues and Adaptive Contrastive Training. ACM Multimedia Yun Li, Lina Yao, Zhe Liu
2025	J	`jnl`	Continual Learning on CLIP via Incremental Prompt Tuning with Intrinsic Textual Anchors. CoRR Haodong Lu, Xinyu Zhang, Kristen Moore, Minhui Xue, Lina Yao, Anton van den Hengel, Dong Gong
2025	J	`jnl`	Continual Learning on CLIP via Incremental Prompt Tuning with Intrinsic Textual Anchors. Trans. Mach. Learn. Res. Haodong Lu, Xinyu Zhang, Kristen Moore, Minhui Xue, Lina Yao, Anton van den Hengel, Dong Gong
2025	J	`jnl`	Counterfactual Inference for Eliminating Sentiment Bias in Recommender Systems. CoRR Le Pan, Yuanjiang Cao, Chengkai Huang, Wenjie Zhang, Lina Yao
2025	J	`jnl`	DICE: Dynamic In-Context Example Selection in LLM Agents via Efficient Knowledge Transfer. CoRR Ruoyu Wang, Junda Wu, Yu Xia, Tong Yu, Ryan A. Rossi, Julian J. McAuley, Lina Yao
2025	J	`jnl`	Deep Learning to Hash for Time-Aware QoS Prediction Based on VQ-VAE. IEEE Trans. Serv. Comput. Lingzhen Kong, Xiyuan Hu, Lianyong Qi, Xiaolong Xu, Yiwen Zhang, Lina Yao, Xuyun Zhang
2025	J	`jnl`	Deep learning meets bibliometrics: A survey of citation function classification. J. Informetrics Yang Zhang, Yufei Wang, Quan Z. Sheng, Lina Yao, Haihua Chen, Kai Wang, Adnan Mahmood, Wei Emma Zhang, Munazza Zaib, Subhash Sagar, Rongying Zhao
2025	J	`jnl`	Deep multimodal learning for time series analysis in social computing: a survey. Int. J. Multim. Inf. Retr. Chao Yang, Yakun Chen, Zihao Li, Xianzhi Wang, Kaize Shi, Lina Yao, Guandong Xu, Zhongwen Guo
2025	J	`jnl`	Design Graph Guided Element Importance-Aware Layout Generation With Multimodality Cascade Transformer. IEEE Trans. Hum. Mach. Syst. Qiuyun Zhang, Bin Guo, Lina Yao, Xiaotian Qiao, Hao Wang, Ying Zhang, Zhiwen Yu
2025	J	`jnl`	Diffusion Models for Computational Neuroimaging: A Survey. CoRR Haokai Zhao, Haowei Lou, Lina Yao, Wei Peng, Ehsan Adeli, Kilian M. Pohl, Yu Zhang
2025	A	`conf`	Diffusion Policies for Risk-Averse Behavior Modeling in Offline Reinforcement Learning. IROS Xiaocong Chen, Siyu Wang, Tong Yu, Lina Yao
2025	J	`jnl`	Direct Advantage Regression: Aligning LLMs with Online AI Reward. CoRR Li He, He Zhao, Stephen Wan, Dadong Wang, Lina Yao, Tongliang Liu
2025	J	`jnl`	Distilled mid-fusion transformer networks for multi-modal human activity recognition. Knowl. Based Syst. Jingcheng Li, Lina Yao, Binghao Li, Claude Sammut
2025	Misc	`conf`	Distributional Offline Reinforcement Learning for Recommender Systems. ADC Xiaocong Chen, Siyu Wang, Lina Yao
2025	J	`jnl`	Efficient and Generalizable Environmental Understanding for Visual Navigation. CoRR Ruoyu Wang, Xinshu Li, Chen Wang, Lina Yao
2025	A	`conf`	Eliminating Sentiment Bias in Recommender Systems by Counterfactual Inference. CIKM Le Pan, Yuanjiang Cao, Chengkai Huang, Wenjie Zhang, Lina Yao
2025	B	`conf`	Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models. COLING Chengkai Huang, Yu Xia, Rui Wang, Kaige Xie, Tong Yu, Julian J. McAuley, Lina Yao
2025	J	`jnl`	Enabling Harmonious Human-Machine Interaction with Visual-Context Augmented Dialogue System: A Review. ACM Trans. Inf. Syst. Hao Wang, Bin Guo, Yating Zeng, Mengqi Chen, Yasan Ding, Ying Zhang, Lina Yao, Zhiwen Yu
2025	A	`conf`	Energy-Guided Diffusion Sampling for Long-Term User Behavior Prediction in Reinforcement Learning-based Recommendation. CIKM Xiaocong Chen, Siyu Wang, Lina Yao
2025	J	`jnl`	Energy-Guided Diffusion Sampling for Long-Term User Behavior Prediction in Reinforcement Learning-based Recommendation. CoRR Xiaocong Chen, Siyu Wang, Lina Yao
2025	J	`jnl`	FedHMIR: Unified Framework for Federated Human-Machine Synergy in Personalization-Generalization Balancing Identity Recognition. IEEE Trans. Mob. Comput. Qingyang Li, Yuanjiang Cao, Qianru Wang, Lina Yao, Zhiwen Yu, Jiangtao Cui
2025	A*	`conf`	Federated In-Context Learning: Iterative Refinement for Improved Answer Quality. ICML Ruhan Wang, Zhiyong Wang, Chengkai Huang, Rui Wang, Tong Yu, Lina Yao, John C. S. Lui, Dongruo Zhou
2025	J	`jnl`	Federated In-Context Learning: Iterative Refinement for Improved Answer Quality. CoRR Ruhan Wang, Zhiyong Wang, Chengkai Huang, Rui Wang, Tong Yu, Lina Yao, John C. S. Lui, Dongruo Zhou
2025	A	`conf`	Flexiffusion: Training-Free Segment-Wise Neural Architecture Search for Efficient Diffusion Models. CIKM Hongtao Huang, Xiaojun Chang, Lina Yao
2025	J	`jnl`	From Data to Action: Charting A Data-Driven Path to Combat Antimicrobial Resistance. CoRR Qian Fu, Yuzhe Zhang, Yanfeng Shu, Ming Ding, Lina Yao, Chen Wang
2025	—	`conf`	GUI Agents: A Survey. ACL (Findings) 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	J	`jnl`	Gaussian Mixture Flow Matching with Domain Alignment for Multi-Domain Sequential Recommendation. CoRR Xiaoxin Ye, Chengkai Huang, Hongtao Huang, Lina Yao
2025	J	`jnl`	Generalized Multilingual Text-to-Speech Generation with Language-Aware Style Adaptation. CoRR Haowei Lou, Hye-Young Paik, Sheng Li, Wen Hu, Lina Yao
2025	J	`jnl`	Get the Agents Drunk: Memory Perturbations in Autonomous Agent-based Recommender Systems. CoRR Shiyi Yang, Zhibo Hu, Chen Wang, Tong Yu, Xiwei Xu, Liming Zhu, Lina Yao
2025	J	`jnl`	Graph and Sequential Neural Networks in Session-based Recommendation: A Survey. ACM Comput. Surv. Zihao Li, Chao Yang, Yakun Chen, Xianzhi Wang, Hongxu Chen, Guandong Xu, Lina Yao, Michael Sheng
2025	—	`conf`	Guardrail Guided Policy Optimisation: Learning Disentangled Safety Constraints. AI (2) Jaymari Chua, Chen Wang, Liming Zhu, Lina Yao
2025	J	`jnl`	HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization. IEEE Trans. Multim. Guanglin Zhou, Zhongyi Han, Shiming Chen, Biwei Huang, Liming Zhu, Tongliang Liu, Lina Yao, Kun Zhang
2025	J	`jnl`	HOT-GAN: Hilbert Optimal Transport for Generative Adversarial Network. IEEE Trans. Neural Networks Learn. Syst. Qian Li, Zhichao Wang, Haiyang Xia, Gang Li, Yanan Cao, Lina Yao, Guandong Xu
2025	J	`jnl`	Introduction to the Special Issue on Causality Representation Learning in LLMs-Driven Recommender Systems. ACM Trans. Inf. Syst. Lina Yao, Julian J. McAuley, Yongfeng Zhang, Kun Zhang
2025	A*	`conf`	Jailbreaking the Non-Transferable Barrier via Test-Time Data Disguising. CVPR Yongli Xiang, Ziming Hong, Lina Yao, Dadong Wang, Tongliang Liu
2025	J	`jnl`	Jailbreaking the Non-Transferable Barrier via Test-Time Data Disguising. CoRR Yongli Xiang, Ziming Hong, Lina Yao, Dadong Wang, Tongliang Liu
2025	B	`conf`	LatentSpeech: Latent Diffusion for Text-To-Speech Generation. RO-MAN Haowei Lou, Hye-Young Paik, Pari Delir Haghighi, Sheng Li, Wen Hu, Lina Yao
2025	Misc	`conf`	LightLLM: A Versatile Large Language Model for Predictive Light Sensing. SenSys Jiawei Hu, Hong Jia, Mahbub Hassan, Lina Yao, Brano Kusy, Wen Hu
2025	J	`jnl`	Listwise Preference Diffusion Optimization for User Behavior Trajectories Prediction. CoRR Hongtao Huang, Chengkai Huang, Junda Wu, Tong Yu, Julian J. McAuley, Lina Yao
2025	J	`jnl`	Little By Little: Continual Learning via Self-Activated Sparse Mixture-of-Rank Adaptive Learning. CoRR Haodong Lu, Chongyang Zhao, Minhui Xue, Lina Yao, Kristen Moore, Dong Gong
2025	A	`conf`	MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning. CIKM Lishan Yang, Wei Emma Zhang, Quan Z. Sheng, Lina Yao, Weitong Chen, Ali Shakeri
2025	J	`jnl`	MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning. CoRR Lishan Yang, Wei Emma Zhang, Quan Z. Sheng, Lina Yao, Weitong Chen, Ali Shakeri
2025	A	`conf`	Maximum In-Support Return Modeling for Dynamic Recommendation with Language Model Prior. CIKM Xiaocong Chen, Siyu Wang, Lina Yao
2025	J	`jnl`	Maximum In-Support Return Modeling for Dynamic Recommendation with Language Model Prior. CoRR Xiaocong Chen, Siyu Wang, Lina Yao
2025	A*	`conf`	Mining your own secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models. ICLR Saurav Jha, Shiqi Yang, Masato Ishii, Mengjie Zhao, Christian Simon, Muhammad Jehanzeb Mirza, Dong Gong, Lina Yao, Shusuke Takahashi, Yuki Mitsufuji
2025	—	`conf`	Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent. EMNLP (Findings) 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	J	`jnl`	Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent. CoRR 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	A*	`conf`	OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models. ICLR 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	A	`conf`	PKGRec: Personal Knowledge Graph Construction and Mining for Federated Recommendation Enhancement. CIKM Haochen Yuan, Yang Zhang, Quan Z. Sheng, Lina Yao, Yipeng Zhou, Xiang He, Zhongjie Wang
2025	A	`conf`	ParaStyleTTS: Toward Efficient and Robust Paralinguistic Style Control for Expressive Text-to-Speech Generation. CIKM Haowei Lou, Hye-Young Paik, Wen Hu, Lina Yao
2025	J	`jnl`	ParaStyleTTS: Toward Efficient and Robust Paralinguistic Style Control for Expressive Text-to-Speech Generation. CoRR Haowei Lou, Hye-Young Paik, Wen Hu, Lina Yao
2025	J	`jnl`	Plug-and-Play Model-Agnostic Counterfactual Policy Synthesis for Deep Reinforcement Learning-Based Recommendation. IEEE Trans. Neural Networks Learn. Syst. Siyu Wang, Xiaocong Chen, Julian J. McAuley, Sally Cripps, Lina Yao
2025	J	`jnl`	Pluralistic Off-policy Evaluation and Alignment. CoRR Chengkai Huang, Junda Wu, Zhouhang Xie, Yu Xia, Rui Wang, Tong Yu, Subrata Mitra, Julian J. McAuley, Lina Yao
2025	A*	`conf`	Policy-Guided Causal State Representation for Offline Reinforcement Learning Recommendation. WWW Siyu Wang, Xiaocong Chen, Lina Yao
2025	J	`jnl`	Policy-Guided Causal State Representation for Offline Reinforcement Learning Recommendation. CoRR Siyu Wang, Xiaocong Chen, Lina Yao
2025	A*	`conf`	ProtChatGPT: Towards Understanding Proteins with Hybrid Representation and Large Language Models. SIGIR Chao Wang, Hehe Fan, Ruijie Quan, Lina Yao, Yi Yang
2025	J	`jnl`	Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning-Based Recommendation Systems. ACM Trans. Intell. Syst. Technol. Siyu Wang, Xiaocong Chen, Lina Yao
2025	J	`jnl`	Retrieval-Augmented Review Generation for Poisoning Recommender Systems. CoRR Shiyi Yang, Xinshu Li, Guanglin Zhou, Chen Wang, Xiwei Xu, LiMin Zhu, Lina Yao
2025	A*	`conf`	SAND: Boosting LLM Agents with Self-Taught Action Deliberation. EMNLP Yu Xia, Yiran Shen, Junda Wu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Lina Yao, Julian J. McAuley
2025	J	`jnl`	SAND: Boosting LLM Agents with Self-Taught Action Deliberation. CoRR Yu Xia, Yiran Shen, Junda Wu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Lina Yao, Julian J. McAuley
2025	B	`conf`	SCGS: Interactive Scale-Controlled 3D Object Segmentation with Gaussian Splatting. IJCNN Yue Jin, Yilong Liu, Yuanyang Zhang, Tianchen Zhou, Lina Yao
2025	A*	`conf`	Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning. CVPR Huiyi Wang, Haodong Lu, Lina Yao, Dong Gong
2025	J	`jnl`	Self-Supervised Cross-Modal Learning for Image-to-Point Cloud Registration. CoRR Xingmei Wang, Xiaoyu Hu, Chengkai Huang, Ziyan Zeng, Guohao Nie, Quan Z. Sheng, Lina Yao
2025	A*	`conf`	Shot2Story: A New Benchmark for Comprehensive Understanding of Multi-shot Videos. ICLR Mingfei Han, Linjie Yang, Xiaojun Chang, Lina Yao, Heng Wang
2025	J	`jnl`	Special Issue on Responsible Recommender Systems Part 2. ACM Trans. Intell. Syst. Technol. Lina Yao, Julian J. McAuley, Xianzhi Wang, Dietmar Jannach
2025	J	`jnl`	SpeechAgent: An End-to-End Mobile Infrastructure for Speech Impairment Assistance. CoRR Haowei Lou, Chengkai Huang, Hye-Young Paik, Yongquan Hu, Aaron Quigley, Wen Hu, Lina Yao
2025	J	`jnl`	Teaching Prompts to Coordinate: Hierarchical Layer-Grouped Prompt Tuning for Continual Learning. CoRR Shengqin Jiang, Tianqi Kong, Yuankai Qi, Haokui Zhang, Lina Yao, Quan Z. Sheng, Qingshan Liu, Ming-Hsuan Yang
2025	J	`jnl`	The 2nd Workshop on Human-Centered Recommender Systems. CoRR Kaike Zhang, Jiakai Tang, Du Su, Shuchang Liu, Julian J. McAuley, Lina Yao, Qi Cao, Yue Feng, Fei Sun
2025	—	`conf`	The 3rd Workshop on Personal Intelligence with Generative AI. WWW (Companion Volume) Yang Zhang, Wenjie Wang, Xinyu Lin, Fuli Feng, Hongzhi Yin, Wayne Xin Zhao, Lina Yao, Yang Song, Xiangnan He
2025	J	`jnl`	Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models. CoRR Chengkai Huang, Junda Wu, Yu Xia, Zixu Yu, Ruhan Wang, Tong Yu, Ruiyi Zhang, Ryan A. Rossi, Branislav Kveton, Dongruo Zhou, Julian J. McAuley, Lina Yao
2025	A	`conf`	Weakly-supervised VLM-guided Partial Contrastive Learning for Visual Language Navigation. IROS Ruoyu Wang, Tong Yu, Junda Wu, Yao Liu, Julian J. McAuley, Lina Yao
2025	J	`jnl`	Weakly-supervised VLM-guided Partial Contrastive Learning for Visual Language Navigation. CoRR Ruoyu Wang, Tong Yu, Junda Wu, Yao Liu, Julian J. McAuley, Lina Yao
2024	J	`jnl`	AI Safety in Generative AI Large Language Models: A Survey. CoRR Jaymari Chua, Yun Li, Shiyi Yang, Chen Wang, Lina Yao
2024	J	`jnl`	Accelerating one-shot neural architecture search via constructing a sparse search space. Knowl. Based Syst. Hongtao Huang, Xiaojun Chang, Lina Yao
2024	J	`jnl`	Adapting Large Multimodal Models to Distribution Shifts: The Role of In-Context Learning. CoRR Guanglin Zhou, Zhongyi Han, Shiming Chen, Biwei Huang, Liming Zhu, Salman Khan, Xinbo Gao, Lina Yao
2024	J	`jnl`	Adaptive Rank, Reduced Forgetting: Knowledge Retention in Continual Learning Vision-Language Models with Dynamic Rank-Selective LoRA. CoRR Haodong Lu, Chongyang Zhao, Minhui Xue, Lina Yao, Kristen Moore, Dong Gong
2024	J	`jnl`	Aligner-Guided Training Paradigm: Advancing Text-to-Speech Models with Aligner Guided Duration. CoRR Haowei Lou, Helen Paik, Wen Hu, Lina Yao
2024	A	`conf`	Attacking Visually-aware Recommender Systems with Transferable and Imperceptible Adversarial Styles. CIKM Shiyi Yang, Chen Wang, Xiwei Xu, Liming Zhu, Lina Yao
2024	J	`jnl`	Attention-Aware Social Graph Transformer Networks for Stochastic Trajectory Prediction. IEEE Trans. Knowl. Data Eng. Yao Liu, Binghao Li, Xianzhi Wang, Claude Sammut, Lina Yao
2024	J	`jnl`	Brain Network Diffusion-Driven fMRI Connectivity Augmentation for Enhanced Autism Spectrum Disorder Diagnosis. CoRR Haokai Zhao, Haowei Lou, Lina Yao, Yu Zhang
2024	A*	`conf`	CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models. NeurIPS Saurav Jha, Dong Gong, Lina Yao
2024	J	`jnl`	CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models. CoRR Saurav Jha, Dong Gong, Lina Yao
2024	J	`jnl`	Causal Graph Discovery with Retrieval-Augmented Generation based Large Language Models. CoRR Yuzhe Zhang, Yipeng Zhang, Yidong Gan, Lina Yao, Chen Wang
2024	J	`jnl`	Causality-Aware Transformer Networks for Robotic Navigation. CoRR Ruoyu Wang, Yao Liu, Yuanjiang Cao, Lina Yao
2024	J	`jnl`	CoMMIT: Coordinated Instruction Tuning for Multimodal Large Language Models. CoRR Junda Wu, Xintong Li, Tong Yu, Yu Wang, Xiang Chen, Jiuxiang Gu, Lina Yao, Jingbo Shang, Julian J. McAuley
2024	A*	`conf`	Context-Based and Diversity-Driven Specificity in Compositional Zero-Shot Learning. CVPR Yun Li, Zhe Liu, Hang Chen, Lina Yao
2024	J	`jnl`	Context-based and Diversity-driven Specificity in Compositional Zero-Shot Learning. CoRR Yun Li, Zhe Liu, Hang Chen, Lina Yao
2024	A	`conf`	DFLStar: A Decentralized Federated Learning Framework with Self-Knowledge Distillation and Participant Selection. CIKM Behnaz Soltani, Venus Haghighi, Yipeng Zhou, Quan Z. Sheng, Lina Yao
2024	—	`conf`	Deconfounded Causality-Aware Parameter-Efficient Fine-Tuning for Problem-Solving Improvement of LLMs. WISE (4) Ruoyu Wang, Xiaoxuan Li, Lina Yao
2024	J	`jnl`	Deconfounded Causality-aware Parameter-Efficient Fine-Tuning for Problem-Solving Improvement of LLMs. CoRR Ruoyu Wang, Xiaoxuan Li, Lina Yao
2024	A*	`conf`	Distribution-Conditioned Adversarial Variational Autoencoder for Valid Instrumental Variable Generation. AAAI Xinshu Li, Lina Yao
2024	J	`jnl`	Dual Conditional Diffusion Models for Sequential Recommendation. CoRR Hongtao Huang, Chengkai Huang, Xiaojun Chang, Wen Hu, Lina Yao
2024	J	`jnl`	Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation. CoRR Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao
2024	J	`jnl`	Dyformer: A dynamic transformer-based architecture for multivariate time series classification. Inf. Sci. Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Guandong Xu
2024	Misc	`conf`	Exploring Soft Prompt Initialization Strategy for Few-Shot Continual Text Classification. ICASSP Zhehao Zhang, Tong Yu, Handong Zhao, Kaige Xie, Lina Yao, Shuai Li
2024	J	`jnl`	Federated Large Language Models: Current Progress and Future Directions. CoRR Yuhang Yao, Jianyi Zhang, Junda Wu, Chengkai Huang, Yu Xia, Tong Yu, Ruiyi Zhang, Sungchul Kim, Ryan A. Rossi, Ang Li, Lina Yao, Julian J. McAuley, Yiran Chen, Carlee Joe-Wong
2024	J	`jnl`	Flexiffusion: Segment-wise Neural Architecture Search for Flexible Denoising Schedule. CoRR Hongtao Huang, Xiaojun Chang, Lina Yao
2024	J	`jnl`	Foundation Models for Recommender Systems: A Survey and New Perspectives. CoRR Chengkai Huang, Tong Yu, Kaige Xie, Shuai Zhang, Lina Yao, Julian J. McAuley
2024	J	`jnl`	GUI Agents: A Survey. CoRR 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, Thien Huu Nguyen, Trung Bui, Tianyi Zhou, Ryan A. Rossi, Franck Dernoncourt
2024	J	`jnl`	Generalizing truth discovery by incorporating multi-truth features. Computing Xiu Susie Fang, Xianzhi Wang, Quan Z. Sheng, Lina Yao
2024	J	`jnl`	Graph and Sequential Neural Networks in Session-based Recommendation: A Survey. CoRR Zihao Li, Chao Yang, Yakun Chen, Xianzhi Wang, Hongxu Chen, Guandong Xu, Lina Yao, Quan Z. Sheng
2024	J	`jnl`	Guided Image-to-Image Translation by Discriminator-Generator Communication. IEEE Trans. Multim. Yuanjiang Cao, Lina Yao, Le Pan, Quan Z. Sheng, Xiaojun Chang
2024	J	`jnl`	HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization. CoRR Guanglin Zhou, Zhongyi Han, Shiming Chen, Biwei Huang, Liming Zhu, Tongliang Liu, Lina Yao, Kun Zhang
2024	J	`jnl`	Hierarchical Constrained Variational Autoencoder for interaction-sparse recommendations. Inf. Process. Manag. Nuo Li, Bin Guo, Yan Liu, Yasan Ding, Lina Yao, Xiaopeng Fan, Zhiwen Yu
2024	A*	`conf`	Identifiability of Cross-Domain Recommendation via Causal Subspace Disentanglement. SIGIR Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao
2024	A*	`conf`	In-Context Learning for Zero-shot Medical Report Generation. ACM Multimedia Rui Liu, Mingjie Li, Shen Zhao, Ling Chen, Xiaojun Chang, Lina Yao
2024	J	`jnl`	Incentive Mechanism Design of Federated Learning for Recommendation Systems in MEC. IEEE Trans. Consumer Electron. Jiwei Huang, Bowen Ma, Ming Wang, Xiaokang Zhou, Lina Yao, Shoujin Wang, Lianyong Qi, Ying Chen
2024	—	`conf`	Independence Constrained Disentangled Representation Learning from Epistemological Perspective. ICONIP (1) Ruoyu Wang, Lina Yao
2024	J	`jnl`	Independence Constrained Disentangled Representation Learning from Epistemological Perspective. CoRR Ruoyu Wang, Lina Yao
2024	J	`jnl`	Joint Identifiability of Cross-Domain Recommendation via Hierarchical Subspace Disentanglement. CoRR Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao
2024	—	`conf`	LLM Enhanced Representation for Cold Start Service Recommendation. ICSOC (1) Dunlei Rong, Lina Yao, Yinting Zheng, Shuang Yu, Xiaofei Xu, Mingyi Liu, Zhongjie Wang
2024	J	`jnl`	LatentSpeech: Latent Diffusion for Text-To-Speech Generation. CoRR Haowei Lou, Helen Paik, Pari Delir Haghighi, Wen Hu, Lina Yao
2024	J	`jnl`	Learn When (not) to Trust Language Models: A Privacy-Centric Adaptive Model-Aware Approach. CoRR Chengkai Huang, Rui Wang, Kaige Xie, Tong Yu, Lina Yao
2024	A*	`conf`	Learning with Mixture of Prototypes for Out-of-Distribution Detection. ICLR Haodong Lu, Dong Gong, Shuo Wang, Jason Xue, Lina Yao, Kristen Moore
2024	J	`jnl`	Learning with Mixture of Prototypes for Out-of-Distribution Detection. CoRR Haodong Lu, Dong Gong, Shuo Wang, Jason Xue, Lina Yao, Kristen Moore
2024	J	`jnl`	LightLLM: A Versatile Large Language Model for Predictive Light Sensing. CoRR Jiawei Hu, Hong Jia, Mahbub Hassan, Lina Yao, Brano Kusy, Wen Hu
2024	J	`jnl`	Limits of predictability in top-N recommendation. Inf. Process. Manag. En Xu, Kai Zhao, Zhiwen Yu, Ying Zhang, Bin Guo, Lina Yao
2024	A*	`conf`	Masked Distillation Advances Self-Supervised Transformer Architecture Search. ICLR Caixia Yan, Xiaojun Chang, Zhihui Li, Lina Yao, Minnan Luo, Qinghua Zheng
2024	A*	`conf`	MatchNAS: Optimizing Edge AI in Sparse-Label Data Contexts via Automating Deep Neural Network Porting for Mobile Deployment. WWW Hongtao Huang, Xiaojun Chang, Wen Hu, Lina Yao
2024	J	`jnl`	MatchNAS: Optimizing Edge AI in Sparse-Label Data Contexts via Automating Deep Neural Network Porting for Mobile Deployment. CoRR Hongtao Huang, Xiaojun Chang, Wen Hu, Lina Yao
2024	A*	`conf`	Maximum-Entropy Regularized Decision Transformer with Reward Relabelling for Dynamic Recommendation. KDD Xiaocong Chen, Siyu Wang, Lina Yao
2024	J	`jnl`	Maximum-Entropy Regularized Decision Transformer with Reward Relabelling for Dynamic Recommendation. CoRR Xiaocong Chen, Siyu Wang, Lina Yao
2024	J	`jnl`	Mining Your Own Secrets: Diffusion Classifier Scores for Continual Personalization of Text-to-Image Diffusion Models. CoRR Saurav Jha, Shiqi Yang, Masato Ishii, Mengjie Zhao, Christian Simon, Muhammad Jehanzeb Mirza, Dong Gong, Lina Yao, Shusuke Takahashi, Yuki Mitsufuji
2024	J	`jnl`	Modality aware contrastive learning for multimodal human activity recognition. Concurr. Comput. Pract. Exp. Sam Dixon, Lina Yao, Robert Davidson
2024	J	`jnl`	Modeling Pedestrian Intrinsic Uncertainty for Multimodal Stochastic Trajectory Prediction via Energy Plan Denoising. CoRR Yao Liu, Quan Z. Sheng, Lina Yao
2024	J	`jnl`	Modeling Temporal Positive and Negative Excitation for Sequential Recommendation. CoRR Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao
2024	A	`conf`	Multi-agent Traffic Prediction via Denoised Endpoint Distribution. IROS Yao Liu, Ruoyu Wang, Yuanjiang Cao, Quan Z. Sheng, Lina Yao
2024	J	`jnl`	Multi-agent Traffic Prediction via Denoised Endpoint Distribution. CoRR Yao Liu, Ruoyu Wang, Yuanjiang Cao, Quan Z. Sheng, Lina Yao
2024	J	`jnl`	Multi-view GCN for loan default risk prediction. Neural Comput. Appl. Zihao Li, Yakun Chen, Xianzhi Wang, Lina Yao, Guandong Xu
2024	J	`jnl`	OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models. CoRR 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
2024	A	`conf`	On Causally Disentangled State Representation Learning for Reinforcement Learning based Recommender Systems. CIKM Siyu Wang, Xiaocong Chen, Lina Yao
2024	J	`jnl`	On Causally Disentangled State Representation Learning for Reinforcement Learning based Recommender Systems. CoRR Siyu Wang, Xiaocong Chen, Lina Yao
2024	J	`jnl`	On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems. ACM Trans. Inf. Syst. Xiaocong Chen, Siyu Wang, Julian J. McAuley, Dietmar Jannach, Lina Yao
2024	J	`jnl`	PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning. CoRR Huandong Wang, Changzheng Gao, Yuchen Wu, Depeng Jin, Lina Yao, Yong Li
2024	—	`conf`	Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning. NAACL-HLT (Findings) Rui Wang, Tong Yu, Ruiyi Zhang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Junda Wu, Subrata Mitra, Lina Yao, Ricardo Henao
2024	—	`conf`	Regularized Multi-LLMs Collaboration for Enhanced Score-Based Causal Discovery. WISE (4) Xiaoxuan Li, Yao Liu, Ruoyu Wang, Lina Yao
2024	J	`jnl`	Regularized Multi-LLMs Collaboration for Enhanced Score-based Causal Discovery. CoRR Xiaoxuan Li, Yao Liu, Ruoyu Wang, Lina Yao
2024	J	`jnl`	Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning based Recommendation Systems. CoRR Siyu Wang, Xiaocong Chen, Lina Yao
2024	J	`jnl`	Rethink, Revisit, Revise: A Spiral Reinforced Self-Revised Network for Zero-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. Zhe Liu, Yun Li, Lina Yao, Julian J. McAuley, Sam Dixon
2024	J	`jnl`	Review-Incorporated Model-Agnostic Profile Injection Attacks on Recommender Systems. CoRR Shiyi Yang, Lina Yao, Chen Wang, Xiwei Xu, Liming Zhu
2024	—	`conf`	Robust Graph Learning Against Camouflaged Malicious Actors. WISE (2) Venus Haghighi, Nasrin Shabani, Behnaz Soltani, Lina Yao, Quan Z. Sheng, Jian Yang, Amin Beheshti
2024	J	`jnl`	SCALA: Sparsification-based Contrastive Learning for Anomaly Detection on Attributed Networks. CoRR Enbo He, Yitong Hao, Yue Zhang, Guisheng Yin, Lina Yao
2024	A*	`conf`	Self-Distilled Disentangled Learning for Counterfactual Prediction. KDD Xinshu Li, Mingming Gong, Lina Yao
2024	J	`jnl`	Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning. CoRR Huiyi Wang, Haodong Lu, Lina Yao, Dong Gong
2024	J	`jnl`	Self-supervised cross-modal visual retrieval from brain activities. Pattern Recognit. Zesheng Ye, Lina Yao, Yu Zhang, Sylvia Gustin
2024	J	`jnl`	Simple Primitives With Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. Zhe Liu, Yun Li, Lina Yao, Xiaojun Chang, Wei Fang, Xiaojun Wu, Abdulmotaleb El Saddik
2024	J	`jnl`	Special Issue on Responsible Recommender Systems Part 1. ACM Trans. Intell. Syst. Technol. Lina Yao, Julian J. McAuley, Xianzhi Wang, Dietmar Jannach
2024	—	`conf`	StyleSpeech: Parameter-efficient Fine Tuning for Pre-trained Controllable Text-to-Speech. MMAsia Haowei Lou, Hye-Young Paik, Wen Hu, Lina Yao
2024	J	`jnl`	StyleSpeech: Parameter-efficient Fine Tuning for Pre-trained Controllable Text-to-Speech. CoRR Haowei Lou, Helen Paik, Wen Hu, Lina Yao
2024	A*	`conf`	TROPICAL: Transformer-Based Hypergraph Learning for Camouflaged Fraudster Detection. ICDM Venus Haghighi, Behnaz Soltani, Nasrin Shabani, Jia Wu, Yang Zhang, Lina Yao, Quan Z. Sheng, Jian Yang
2024	J	`jnl`	To be forgotten or to be fair: unveiling fairness implications of machine unlearning methods. AI Ethics Dawen Zhang, Shidong Pan, Thong Hoang, Zhenchang Xing, Mark Staples, Xiwei Xu, Lina Yao, Qinghua Lu, Liming Zhu
2024	J	`jnl`	Towards Robust Cross-Domain Recommendation with Joint Identifiability of User Preference. CoRR Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Jia Wu, Jian Yang, Michael Sheng, Lina Yao
2024	J	`jnl`	Two-stream Multi-level Dynamic Point Transformer for Two-person Interaction Recognition. ACM Trans. Multim. Comput. Commun. Appl. Yao Liu, Gangfeng Cui, Jiahui Luo, Xiaojun Chang, Lina Yao
2024	J	`jnl`	Uncertainty-aware Distributional Offline Reinforcement Learning. CoRR Xiaocong Chen, Siyu Wang, Tong Yu, Lina Yao
2024	J	`jnl`	Uncertainty-aware pedestrian trajectory prediction via distributional diffusion. Knowl. Based Syst. Yao Liu, Zesheng Ye, Rui Wang, Binghao Li, Quan Z. Sheng, Lina Yao
2024	A*	`conf`	Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning. ICML Yuhao Wu, Jiangchao Yao, Bo Han, Lina Yao, Tongliang Liu
2024	J	`jnl`	Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning. CoRR Yuhao Wu, Jiangchao Yao, Bo Han, Lina Yao, Tongliang Liu
2024	J	`jnl`	Visual Prompting in Multimodal Large Language Models: A Survey. CoRR Junda Wu, Zhehao Zhang, Yu Xia, Xintong Li, Zhaoyang Xia, Aaron Chang, Tong Yu, Sungchul Kim, Ryan A. Rossi, Ruiyi Zhang, Subrata Mitra, Dimitris N. Metaxas, Lina Yao, Jingbo Shang, Julian J. McAuley
2024	J	`jnl`	XRL-SHAP-Cache: an explainable reinforcement learning approach for intelligent edge service caching in content delivery networks. Sci. China Inf. Sci. Xiaolong Xu, Fan Wu, Muhammad Bilal, Xiaoyu Xia, Wanchun Dou, Lina Yao, Weiyi Zhong
2023	J	`jnl`	A blockchain framework data integrity enhanced recommender system. Comput. Intell. May S. Altulyan, Lina Yao, Salil S. Kanhere, Chaoran Huang
2023	A*	`conf`	ALDA: An Adaptive Layout Design Assistant for Diverse Posters throughout the Design Process. ACM Multimedia Qiuyun Zhang, Bin Guo, Lina Yao, Han Wang, Ying Zhang, Zhiwen Yu
2023	J	`jnl`	Adversarial dual autoencoders for trust-aware recommendation. Neural Comput. Appl. Manqing Dong, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu
2023	J	`jnl`	Adversarially Contrastive Estimation of Conditional Neural Processes. CoRR Zesheng Ye, Jing Du, Lina Yao
2023	J	`jnl`	Attention-aware Social Graph Transformer Networks for Stochastic Trajectory Prediction. CoRR Yao Liu, Binghao Li, Xianzhi Wang, Claude Sammut, Lina Yao
2023	J	`jnl`	Attentional Gated Res2Net for Multivariate Time Series Classification. Neural Process. Lett. Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Jing Jiang, Guandong Xu
2023	J	`jnl`	Attribute-Modulated Generative Meta Learning for Zero-Shot Learning. IEEE Trans. Multim. Yun Li, Zhe Liu, Lina Yao, Xiaojun Chang
2023	B	`conf`	Biased or Debiased: Polarization-aware Embedding Learning from Social Media Knowledge Graph. IJCNN Yihong Zhang, Takahiro Hara, Lina Yao
2023	A*	`conf`	Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning. SIGIR Siyu Wang, Xiaocong Chen, Dietmar Jannach, Lina Yao
2023	J	`jnl`	Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning. CoRR Siyu Wang, Xiaocong Chen, Dietmar Jannach, Lina Yao
2023	A*	`conf`	Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation. SIGIR Siyu Wang, Xiaocong Chen, Quan Z. Sheng, Yihong Zhang, Lina Yao
2023	J	`jnl`	Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation. CoRR Siyu Wang, Xiaocong Chen, Quan Z. Sheng, Yihong Zhang, Lina Yao
2023	A	`conf`	Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems. CIKM Guanglin Zhou, Chengkai Huang, Xiaocong Chen, Xiwei Xu, Chen Wang, Liming Zhu, Lina Yao
2023	J	`jnl`	Cure-GNN: A Robust Curvature-Enhanced Graph Neural Network Against Adversarial Attacks. IEEE Trans. Dependable Secur. Comput. Yang Xiao, Zhuolin Xing, Alex X. Liu, Lei Bai, Qingqi Pei, Lina Yao
2023	A	`conf`	DREAM: Decoupled Representation via Extraction Attention Module and Supervised Contrastive Learning for Cross-Domain Sequential Recommender. RecSys Xiaoxin Ye, Yun Li, Lina Yao
2023	J	`jnl`	Deep reinforcement learning in recommender systems: A survey and new perspectives. Knowl. Based Syst. Xiaocong Chen, Lina Yao, Julian J. McAuley, Guanglin Zhou, Xianzhi Wang
2023	J	`jnl`	Disentangled and Side-Aware Unsupervised Domain Adaptation for Cross-Dataset Subjective Tinnitus Diagnosis. IEEE J. Biomed. Health Informatics Yun Li, Zhe Liu, Lina Yao, Jessica J. M. Monaghan, David McAlpine
2023	J	`jnl`	Distilled Mid-Fusion Transformer Networks for Multi-Modal Human Activity Recognition. CoRR Jingcheng Li, Lina Yao, Binghao Li, Claude Sammut
2023	A*	`conf`	Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning. ICCV Yun Li, Zhe Liu, Saurav Jha, Lina Yao
2023	J	`jnl`	Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning. CoRR Yun Li, Zhe Liu, Saurav Jha, Sally Cripps, Lina Yao
2023	A*	`conf`	Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation. ICDM Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao
2023	J	`jnl`	Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation. CoRR Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao
2023	J	`jnl`	Diversity-Boosted Generalization-Specialization Balancing for Zero-Shot Learning. IEEE Trans. Multim. Yun Li, Zhe Liu, Xiaojun Chang, Julian J. McAuley, Lina Yao
2023	A*	`conf`	Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation. SIGIR Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao
2023	A	`conf`	Exploiting Explicit and Implicit Item relationships for Session-based Recommendation. WSDM Zihao Li, Xianzhi Wang, Chao Yang, Lina Yao, Julian J. McAuley, Guandong Xu
2023	—	`conf`	From Time Series to Multi-modality: Classifying Multivariate Time Series via Both 1D and 2D Representations. ADMA (1) Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Guandong Xu
2023	J	`jnl`	Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference. IEEE Trans. Knowl. Data Eng. Xiaocong Chen, Lina Yao, Xianzhi Wang, Aixin Sun, Quan Z. Sheng
2023	J	`jnl`	Gradient Boosted Neural Decision Forest. IEEE Trans. Serv. Comput. Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Quan Z. Sheng
2023	J	`jnl`	Guided Image-to-Image Translation by Discriminator-Generator Communication. CoRR Yuanjiang Cao, Lina Yao, Le Pan, Quan Z. Sheng, Xiaojun Chang
2023	A*	`conf`	HTML: Hybrid Temporal-scale Multimodal Learning Framework for Referring Video Object Segmentation. ICCV Mingfei Han, Yali Wang, Zhihui Li, Lina Yao, Xiaojun Chang, Yu Qiao
2023	J	`jnl`	How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation. CoRR Zhongyi Han, Guanglin Zhou, Rundong He, Jindong Wang, Tailin Wu, Yilong Yin, Salman H. Khan, Lina Yao, Tongliang Liu, Kun Zhang
2023	A	`conf`	IDNP: Interest Dynamics Modeling Using Generative Neural Processes for Sequential Recommendation. WSDM Jing Du, Zesheng Ye, Bin Guo, Zhiwen Yu, Lina Yao
2023	—	`conf`	Integrating Social Environment in Machine Learning Model for Debiased Recommendation. MobiQuitous (2) Yihong Zhang, Lina Yao, Takahiro Hara
2023	J	`jnl`	Interdependence analysis on heterogeneous data via behavior interior dimensions. Knowl. Based Syst. Can Wang, Chi-Hung Chi, Lina Yao, Alan Wee-Chung Liew, Hong Shen
2023	J	`jnl`	Intrinsically motivated reinforcement learning based recommendation with counterfactual data augmentation. World Wide Web (WWW) Xiaocong Chen, Siyu Wang, Lianyong Qi, Yong Li, Lina Yao
2023	J	`jnl`	Item trend learning for sequential recommendation system using gated graph neural network. Neural Comput. Appl. Ye Tao, Can Wang, Lina Yao, Weimin Li, Yonghong Yu
2023	J	`jnl`	Limits of Predictability in Top-N Recommendation. CoRR En Xu, Zhiwen Yu, Ying Zhang, Bin Guo, Lina Yao
2023	A*	`conf`	Mask Propagation for Efficient Video Semantic Segmentation. NeurIPS Yuetian Weng, Mingfei Han, Haoyu He, Mingjie Li, Lina Yao, Xiaojun Chang, Bohan Zhuang
2023	J	`jnl`	Mask Propagation for Efficient Video Semantic Segmentation. CoRR Yuetian Weng, Mingfei Han, Haoyu He, Mingjie Li, Lina Yao, Xiaojun Chang, Bohan Zhuang
2023	B	`conf`	Meta-learning for Estimating Multiple Treatment Effects with Imbalance. WISE Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu
2023	A*	`conf`	Modeling Temporal Positive and Negative Excitation for Sequential Recommendation. WWW Chengkai Huang, Shoujin Wang, Xianzhi Wang, Lina Yao
2023	J	`jnl`	Modeling Within-Basket Auxiliary Item Recommendation with Matchability and Ubiquity. ACM Trans. Intell. Syst. Technol. En Xu, Zhiwen Yu, Zhuo Sun, Bin Guo, Lina Yao
2023	—	`conf`	Multi-level Attention Network with Weather Suppression for All-Weather Action Detection in UAV Rescue Scenarios. ICONIP (9) Yao Liu, Binghao Li, Claude Sammut, Lina Yao
2023	A	`conf`	NP-SSL: A Modular and Extensible Self-supervised Learning Library with Neural Processes. CIKM Zesheng Ye, Jing Du, Yao Liu, Yihong Zhang, Lina Yao
2023	A*	`conf`	NPCL: Neural Processes for Uncertainty-Aware Continual Learning. NeurIPS Saurav Jha, Dong Gong, He Zhao, Lina Yao
2023	J	`jnl`	NPCL: Neural Processes for Uncertainty-Aware Continual Learning. CoRR Saurav Jha, Dong Gong, He Zhao, Lina Yao
2023	J	`jnl`	On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems. CoRR Xiaocong Chen, Siyu Wang, Julian J. McAuley, Dietmar Jannach, Lina Yao
2023	J	`jnl`	On the Opportunity of Causal Deep Generative Models: A Survey and Future Directions. CoRR Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu, Kun Zhang
2023	A*	`conf`	PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning. AAAI Huandong Wang, Changzheng Gao, Yuchen Wu, Depeng Jin, Lina Yao, Yong Li
2023	J	`jnl`	Quantifying predictability of sequential recommendation via logical constraints. Frontiers Comput. Sci. En Xu, Zhiwen Yu, Nuo Li, Helei Cui, Lina Yao, Bin Guo
2023	J	`jnl`	Reinforcement Learning for Generative AI: A Survey. CoRR Yuanjiang Cao, Quan Z. Sheng, Julian J. McAuley, Lina Yao
2023	A*	`conf`	Review-Incorporated Model-Agnostic Profile Injection Attacks on Recommender Systems. ICDM Shiyi Yang, Lina Yao, Chen Wang, Xiwei Xu, Liming Zhu
2023	J	`jnl`	TN-ZSTAD: Transferable Network for Zero-Shot Temporal Activity Detection. IEEE Trans. Pattern Anal. Mach. Intell. Lingling Zhang, Xiaojun Chang, Jun Liu, Minnan Luo, Zhihui Li, Lina Yao, Alex Hauptmann
2023	J	`jnl`	To Be Forgotten or To Be Fair: Unveiling Fairness Implications of Machine Unlearning Methods. CoRR Dawen Zhang, Shidong Pan, Thong Hoang, Zhenchang Xing, Mark Staples, Xiwei Xu, Lina Yao, Qinghua Lu, Liming Zhu
2023	J	`jnl`	Two-stream Multi-level Dynamic Point Transformer for Two-person Interaction Recognition. CoRR Yao Liu, Gangfeng Cui, Jiahui Luo, Lina Yao, Xiaojun Chang
2023	J	`jnl`	Uncertainty Estimation With Neural Processes for Meta-Continual Learning. IEEE Trans. Neural Networks Learn. Syst. Xuesong Wang, Lina Yao, Xianzhi Wang, Hye-Young Paik, Sen Wang
2023	J	`jnl`	Uncertainty-Aware Pedestrian Trajectory Prediction via Distributional Diffusion. CoRR Yao Liu, Zesheng Ye, Binghao Li, Lina Yao
2023	J	`jnl`	When Large Language Models Meet Citation: A Survey. CoRR Yang Zhang, Yufei Wang, Kai Wang, Quan Z. Sheng, Lina Yao, Adnan Mahmood, Wei Emma Zhang, Rongying Zhao
2023	J	`jnl`	When Object Detection Meets Knowledge Distillation: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. Zhihui Li, Pengfei Xu, Xiaojun Chang, Luyao Yang, Yuanyuan Zhang, Lina Yao, Xiaojiang Chen
2023	J	`jnl`	Zero-Shot Camouflaged Object Detection. IEEE Trans. Image Process. Haoran Li, Chun-Mei Feng, Yong Xu, Tao Zhou, Lina Yao, Xiaojun Chang
2022	J	`jnl`	A Bibliometric Analysis and Review on Reinforcement Learning for Transportation Applications. CoRR Can Li, Lei Bai, Lina Yao, S. Travis Waller, Wei Liu
2022	J	`jnl`	A Multilevel Collective Framework for Internet of Things Digital Forensic Investigation. Computer Usama Salama, Lina Yao, Hye-Young Paik
2022	J	`jnl`	A Survey on Participant Selection for Federated Learning in Mobile Networks. CoRR Behnaz Soltani, Venus Haghighi, Adnan Mahmood, Quan Z. Sheng, Lina Yao
2022	J	`jnl`	A Survey on Recommender Systems for Internet of Things: Techniques, Applications and Future Directions. Comput. J. May S. Altulyan, Lina Yao, Xianzhi Wang, Chaoran Huang, Salil S. Kanhere, Quan Z. Sheng
2022	J	`jnl`	A survey for trust-aware recommender systems: A deep learning perspective. Knowl. Based Syst. Manqing Dong, Feng Yuan, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu
2022	—	`conf`	A survey on participant selection for federated learning in mobile networks. MobiArch Behnaz Soltani, Venus Haghighi, Adnan Mahmood, Quan Z. Sheng, Lina Yao
2022	—	`ed.`	Advanced Data Mining and Applications - 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28-30, 2022, Proceedings, Part I ADMA (1) Weitong Chen, Lina Yao, Taotao Cai, Shirui Pan, Tao Shen, Xue Li
2022	—	`ed.`	Advanced Data Mining and Applications - 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28-30, 2022, Proceedings, Part II ADMA (2) Weitong Chen, Lina Yao, Taotao Cai, Shirui Pan, Tao Shen, Xue Li
2022	J	`jnl`	Adversarial Robustness of Deep Reinforcement Learning Based Dynamic Recommender Systems. Frontiers Big Data Siyu Wang, Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Quan Z. Sheng
2022	J	`jnl`	Agglomerative Neural Networks for Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Feiping Nie
2022	J	`jnl`	An Entropy-Guided Reinforced Partial Convolutional Network for Zero-Shot Learning. IEEE Trans. Circuits Syst. Video Technol. Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Julian J. McAuley, Xiaojun Chang
2022	Misc	`conf`	An Explanation Module for Deep Neural Networks Facing Multivariate Time Series Classification. AI Chao Yang, Xianzhi Wang, Lina Yao, Jing Jiang, Guandong Xu
2022	J	`jnl`	AskMe: joint individual-level and community-level behavior interaction for question recommendation. World Wide Web Nuo Li, Bin Guo, Yan Liu, Lina Yao, Jiaqi Liu, Zhiwen Yu
2022	Misc	`conf`	Attentional Gated Res2net for Multivariate Time Series Classification. ICASSP Chao Yang, Xianzhi Wang, Lina Yao, Guodong Long, Jing Jiang, Guandong Xu
2022	J	`jnl`	Balancing Generalization and Specialization in Zero-shot Learning. CoRR Yun Li, Zhe Liu, Lina Yao, Xiaojun Chang
2022	—	`conf`	Caching Hierarchical Skylines for Efficient Service Composition on Service Graphs. SCC Hadeel Alhosaini, Xianzhi Wang, Lina Yao, Yakun Chen, Guandong Xu
2022	A*	`conf`	Contrastive Conditional Neural Processes. CVPR Zesheng Ye, Lina Yao
2022	J	`jnl`	Contrastive Conditional Neural Processes. CoRR Zesheng Ye, Lina Yao
2022	—	`conf`	Contrastive Functional Connectivity Graph Learning for Population-based fMRI Classification. MICCAI (1) Xuesong Wang, Lina Yao, Islem Rekik, Yu Zhang
2022	J	`jnl`	Contrastive Graph Learning for Population-based fMRI Classification. CoRR Xuesong Wang, Lina Yao, Islem Rekik, Yu Zhang
2022	A*	`conf`	Contrastive Individual Treatment Effects Estimation. ICDM Xinshu Li, Lina Yao
2022	A	`conf`	Cycle-Balanced Representation Learning For Counterfactual Inference. SDM Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu
2022	—	`ch.`	Deep Learning for Recommender Systems. Recommender Systems Handbook Shuai Zhang, Yi Tay, Lina Yao, Aixin Sun, Ce Zhang
2022	J	`jnl`	Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges, and Opportunities. ACM Comput. Surv. Kaixuan Chen, Dalin Zhang, Lina Yao, Bin Guo, Zhiwen Yu, Yunhao Liu
2022	J	`jnl`	Deep Reinforcement Learning for Dynamic Recommendation with Model-agnostic Counterfactual Policy Synthesis. CoRR Siyu Wang, Xiaocong Chen, Lina Yao, Julian J. McAuley
2022	Misc	`conf`	Deep Reinforcement Learning for Dynamic Things of Interest Recommendation in Intelligent Ambient Environment. AI May S. Altulyan, Chaoran Huang, Lina Yao, Xianzhi Wang, Salil S. Kanhere
2022	J	`jnl`	Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey. CoRR Dalin Zhang, Kaixuan Chen, Yan Zhao, Bin Yang, Lina Yao, Christian S. Jensen
2022	J	`jnl`	Disentangled and Side-aware Unsupervised Domain Adaptation for Cross-dataset Subjective Tinnitus Diagnosis. CoRR Zhe Liu, Yun Li, Lina Yao, Jessica J. M. Monaghan, David McAlpine
2022	A*	`conf`	Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition. CVPR Mingfei Han, David Junhao Zhang, Yali Wang, Rui Yan, Lina Yao, Xiaojun Chang, Yu Qiao
2022	J	`jnl`	Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition. CoRR Mingfei Han, David Junhao Zhang, Yali Wang, Rui Yan, Lina Yao, Xiaojun Chang, Yu Qiao
2022	J	`jnl`	EAGCN: An Efficient Adaptive Graph Convolutional Network for Item Recommendation in Social Internet of Things. IEEE Internet Things J. Bin Wu, Lihong Zhong, Lina Yao, Yangdong Ye
2022	A*	`conf`	Empowerment-driven Policy Gradient Learning with Counterfactual Augmentation in Recommender Systems. ICDM Xiaocong Chen, Lina Yao, Xiaojun Chang, Siyu Wang
2022	J	`jnl`	Enabling Harmonious Human-Machine Interaction with Visual-Context Augmented Dialogue System: A Review. CoRR Hao Wang, Bin Guo, Yating Zeng, Yasan Ding, Chen Qiu, Ying Zhang, Lina Yao, Zhiwen Yu
2022	J	`jnl`	Face to purchase: Predicting consumer choices with structured facial and behavioral traits embedding. Knowl. Based Syst. Zhe Liu, Xianzhi Wang, Yun Li, Lina Yao, Jake An, Lei Bai, Ee-Peng Lim
2022	J	`jnl`	Generative adversarial U-Net for domain-free few-shot medical diagnosis. Pattern Recognit. Lett. Xiaocong Chen, Yun Li, Lina Yao, Ehsan Adeli, Yu Zhang, Xianzhi Wang
2022	J	`jnl`	Graph Neural Network for Robust Public Transit Demand Prediction. IEEE Trans. Intell. Transp. Syst. Can Li, Lei Bai, Wei Liu, Lina Yao, S. Travis Waller
2022	B	`conf`	Graph Neural Network with Self-attention and Multi-task Learning for Credit Default Risk Prediction. WISE Zihao Li, Xianzhi Wang, Lina Yao, Yakun Chen, Guandong Xu, Ee-Peng Lim
2022	—	`conf`	Harnessing Confidence for Report Aggregation in Crowdsourcing Environments. SCC Hadeel Alhosaini, Xianzhi Wang, Lina Yao, Zhong Yang, Farookh Khadeer Hussain, Ee-Peng Lim
2022	A*	`conf`	Hierarchical Task-aware Multi-Head Attention Network. SIGIR Jing Du, Lina Yao, Xianzhi Wang, Bin Guo, Zhiwen Yu
2022	J	`jnl`	IDNP: Interest Dynamics Modeling using Generative Neural Processes for Sequential Recommendation. CoRR Jing Du, Zesheng Ye, Lina Yao, Bin Guo, Zhiwen Yu
2022	J	`jnl`	Intent-Aware Interactive Internet of Things for Enhanced Collaborative Ambient Intelligence. IEEE Internet Comput. Chaoran Huang, Lina Yao, Xianzhi Wang, Quan Z. Sheng, Schahram Dustdar, Zhongjie Wang, Xiaofei Xu
2022	J	`jnl`	Interpolation graph convolutional network for 3D point cloud analysis. Int. J. Intell. Syst. Yao Liu, Lina Yao, Binghao Li, Claude Sammut, Xiaojun Chang
2022	J	`jnl`	Interventional Recommendation with Contrastive Counterfactual Learning for Better Understanding User Preferences. CoRR Guanglin Zhou, Chengkai Huang, Xiaocong Chen, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu
2022	J	`jnl`	Intrinsically Motivated Reinforcement Learning based Recommendation with Counterfactual Data Augmentation. CoRR Xiaocong Chen, Siyu Wang, Lina Yao, Lianyong Qi, Yong Li
2022	J	`jnl`	Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple Imbalanced Treatment Effects. CoRR Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu
2022	A*	`conf`	Locality-Sensitive State-Guided Experience Replay Optimization for Sparse Rewards in Online Recommendation. SIGIR Xiaocong Chen, Lina Yao, Julian J. McAuley, Weili Guan, Xiaojun Chang, Xianzhi Wang
2022	B	`conf`	Mitigating Multi-class Unintended Demographic Bias in Text Classification with Adversarial Learning. WISE Le Pan, Lina Yao, Wenjie Zhang, Xianzhi Wang
2022	J	`jnl`	Model-agnostic Counterfactual Synthesis Policy for Interactive Recommendation. CoRR Siyu Wang, Xiaocong Chen, Lina Yao
2022	A	`conf`	Multi-agent Transformer Networks for Multimodal Human Activity Recognition. CIKM Jingcheng Li, Lina Yao, Binghao Li, Xianzhi Wang, Claude Sammut
2022	J	`jnl`	Passenger Demand Prediction With Cellular Footprints. IEEE Trans. Mob. Comput. Jing Chu, Xu Wang, Kun Qian, Lina Yao, Fu Xiao, Jianbo Li, Zheng Yang
2022	J	`jnl`	Preventing Sensitive Information Leakage From Mobile Sensor Signals via Integrative Transformation. IEEE Trans. Mob. Comput. Dalin Zhang, Lina Yao, Kaixuan Chen, Zheng Yang, Xin Gao, Yunhao Liu
2022	J	`jnl`	RLTIR: Activity-Based Interactive Person Identification via Reinforcement Learning Tree. IEEE Internet Things J. Qingyang Li, Zhiwen Yu, Lina Yao, Bin Guo
2022	J	`jnl`	See What You See: Self-supervised Cross-modal Retrieval of Visual Stimuli from Brain Activity. CoRR Zesheng Ye, Lina Yao, Yu Zhang, Sylvia Gustin
2022	A	`ed.`	Service-Oriented Computing - 20th International Conference, ICSOC 2022, Seville, Spain, November 29 - December 2, 2022, Proceedings ICSOC Javier Troya, Brahim Medjahed, Mario Piattini, Lina Yao, Pablo Fernández, Antonio Ruiz-Cortés
2022	J	`jnl`	Side-aware Meta-Learning for Cross-Dataset Listener Diagnosis with Subjective Tinnitus. CoRR Yun Li, Zhe Liu, Lina Yao, Molly Lucas, Jessica J. M. Monaghan, Yu Zhang
2022	J	`jnl`	Simple Primitives with Feasibility- and Contextuality-Dependence for Open-World Compositional Zero-shot Learning. CoRR Zhe Liu, Yun Li, Lina Yao, Xiaojun Chang, Wei Fang, Xiaojun Wu, Yi Yang
2022	A	`conf`	Social Graph Transformer Networks for Pedestrian Trajectory Prediction in Complex Social Scenarios. CIKM Yao Liu, Lina Yao, Binghao Li, Xianzhi Wang, Claude Sammut
2022	A*	`conf`	Socially-aware Dual Contrastive Learning for Cold-Start Recommendation. SIGIR Jing Du, Zesheng Ye, Lina Yao, Bin Guo, Zhiwen Yu
2022	J	`jnl`	The Neural Process Family: Survey, Applications and Perspectives. CoRR Saurav Jha, Dong Gong, Xuesong Wang, Richard E. Turner, Lina Yao
2022	J	`jnl`	Towards Explanation for Unsupervised Graph-Level Representation Learning. CoRR Qinghua Zheng, Jihong Wang, Minnan Luo, Yaoliang Yu, Jundong Li, Lina Yao, Xiaojun Chang
2022	J	`jnl`	Transfer how much: a fine-grained measure of the knowledge transferability of user behavior sequences in social network. Data Min. Knowl. Discov. Nuo Li, Bin Guo, Yan Liu, Yasan Ding, En Xu, Lina Yao, Zhiwen Yu
2022	J	`jnl`	Unsupervised Knowledge Adaptation for Passenger Demand Forecasting. CoRR Can Li, Lei Bai, Wei Liu, Lina Yao, S. Travis Waller
2021	J	`jnl`	A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions. CoRR Xiaocong Chen, Lina Yao, Julian J. McAuley, Guanglin Zhou, Xianzhi Wang
2021	J	`jnl`	Adversarial Robustness of Deep Reinforcement Learning based Dynamic Recommender Systems. CoRR Siyu Wang, Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Quan Z. Sheng
2021	J	`jnl`	An Entropy-guided Reinforced Partial Convolutional Network for Zero-Shot Learning. CoRR Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Julian J. McAuley, Xiaojun Chang
2021	J	`jnl`	An Internet of Things Service Roadmap. CoRR Athman Bouguettaya, Quan Z. Sheng, Boualem Benatallah, Azadeh Ghari Neiat, Sajib Mistry, Aditya Ghose, Surya Nepal, Lina Yao
2021	J	`jnl`	An internet of things service roadmap. Commun. ACM Athman Bouguettaya, Quan Z. Sheng, Boualem Benatallah, Azadeh Ghari Neiat, Sajib Mistry, Aditya Ghose, Surya Nepal, Lina Yao
2021	J	`jnl`	AskMe: Joint Individual-level and Community-level Behavior Interaction for Question Recommendation. CoRR Nuo Li, Bin Guo, Yan Liu, Lina Yao, Jiaqi Liu, Zhiwen Yu
2021	J	`jnl`	Attribute-Modulated Generative Meta Learning for Zero-Shot Classification. CoRR Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Can Wang
2021	—	`conf`	Cognitive Augmentation in Processes. Next-Gen Digital Services Moshe Chai Barukh, Shayan Zamanirad, Marcos Báez, Amin Beheshti, Boualem Benatallah, Fabio Casati, Lina Yao, Quan Z. Sheng, Francesco Schiliro
2021	B	`conf`	Condor: Mobile Golf Swing Tracking via Sensor Fusion using Conditional Generative Adversarial Networks. EWSN Hong Jia, Jun Liu, Yuezhong Wu, Tomasz Bednarz, Lina Yao, Wen Hu
2021	J	`jnl`	Context-Induced Activity Monitoring for On-Demand Things-of-Interest Recommendation in an Ambient Intelligent Environment. Future Internet May S. Altulyan, Lina Yao, Chaoran Huang, Xianzhi Wang, Salil S. Kanhere
2021	Misc	`conf`	Contextual Bandit Learning for Activity-Aware Things-of-Interest Recommendation in an Assisted Living Environment. ADC May S. Altulyan, Chaoran Huang, Lina Yao, Xianzhi Wang, Salil S. Kanhere
2021	J	`jnl`	Cycle-Balanced Representation Learning For Counterfactual Inference. CoRR Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu
2021	—	`book`	Deep Learning for EEG-Based Brain-Computer Interfaces - Representations, Algorithms and Applications Deep Learning for EEG-Based Brain-Computer Interfaces Xiang Zhang, Lina Yao
2021	Misc	`conf`	Deep Multi-view Spatio-Temporal Network for Urban Crime Prediction. ADC Usama Salama, Xiaocong Chen, Lina Yao, Hye-Young Paik, Xianzhi Wang
2021	J	`jnl`	Deep spatial-temporal sequence modeling for multi-step passenger demand prediction. Future Gener. Comput. Syst. Lei Bai, Lina Yao, Xianzhi Wang, Can Li, Xiang Zhang
2021	J	`jnl`	DeepDepict: Enabling Information Rich, Personalized Product Description Generation With the Deep Multiple Pointer Generator Network. ACM Trans. Knowl. Discov. Data Shaoyang Hao, Bin Guo, Hao Wang, Yunji Liang, Lina Yao, Qianru Wang, Zhiwen Yu
2021	J	`jnl`	Efficient search over incomplete knowledge graphs in binarized embedding space. Future Gener. Comput. Syst. Meng Wang, Weitong Chen, Sen Wang, Yinlin Jiang, Lina Yao, Guilin Qi
2021	J	`jnl`	Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference. CoRR Xiaocong Chen, Lina Yao, Xianzhi Wang, Aixin Sun, Wenjie Zhang, Quan Z. Sheng
2021	J	`jnl`	Generative Adversarial U-Net for Domain-free Medical Image Augmentation. CoRR Xiaocong Chen, Yun Li, Lina Yao, Ehsan Adeli, Yu Zhang
2021	A	`conf`	Generative Inverse Deep Reinforcement Learning for Online Recommendation. CIKM Xiaocong Chen, Lina Yao, Aixin Sun, Xianzhi Wang, Xiwei Xu, Liming Zhu
2021	A*	`conf`	Global Convolutional Neural Processes. ICDM Xuesong Wang, Lina Yao, Xianzhi Wang, Hye-Young Paik, Sen Wang
2021	J	`jnl`	Global Convolutional Neural Processes. CoRR Xuesong Wang, Lina Yao, Xianzhi Wang, Hye-Young Paik, Sen Wang
2021	Misc	`conf`	HFM++: An Enhanced Holographic Factorization Machine for Recommendation. AusDM Zhengxin Fang, Mingcheng Qu, Shuai Zhang, Jingyu Zhang, Yi Yuan, Lina Yao, Shiping Chen
2021	Misc	`conf`	Intention Recognition from Spatio-Temporal Representation of EEG Signals. ADC Lin Yue, Dongyuan Tian, Jing Jiang, Lina Yao, Weitong Chen, Xiaowei Zhao
2021	J	`jnl`	Learning to Recommend With Multiple Cascading Behaviors. IEEE Trans. Knowl. Data Eng. Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, Lina Yao, Yang Song, Depeng Jin
2021	J	`jnl`	Locality-Sensitive Experience Replay for Online Recommendation. CoRR Xiaocong Chen, Lina Yao, Xianzhi Wang, Julian J. McAuley
2021	J	`jnl`	Mashup Recommendation by Regularizing Matrix Factorization with API Co-Invocations. IEEE Trans. Serv. Comput. Lina Yao, Xianzhi Wang, Quan Z. Sheng, Boualem Benatallah, Chaoran Huang
2021	A*	`conf`	MetaGB: A Gradient Boosting Framework for Efficient Task Adaptive Meta Learning. ICDM Manqing Dong, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu
2021	J	`jnl`	Momentum contrastive learning for few-shot COVID-19 diagnosis from chest CT images. Pattern Recognit. Xiaocong Chen, Lina Yao, Tao Zhou, Jinming Dong, Yu Zhang
2021	J	`jnl`	MutualRec: Joint friend and item recommendations with mutualistic attentional graph neural networks. J. Netw. Comput. Appl. Yang Xiao, Qingqi Pei, Tingting Xiao, Lina Yao, Huan Liu
2021	—	`conf`	NP-PROV: Neural Processes with Position-Relevant-Only Variances. WISE (1) Xuesong Wang, Lina Yao, Xianzhi Wang, Feiping Nie, Boualem Benatallah
2021	J	`jnl`	On-Device Lumbar-Pelvic Movement Detection Using Dual-IMU: A DNN-Based Approach. IEEE Access Yuxin Zhang, Pari Delir Haghighi, Frada Burstein, Lina Yao, Flavia M. Cicuttini
2021	—	`conf`	RAU: An Interpretable Automatic Infection Diagnosis of COVID-19 Pneumonia with Residual Attention U-Net. WISE (2) Xiaocong Chen, Lina Yao, Yu Zhang
2021	J	`jnl`	RLTIR: Activity-based Interactive Person Identification based on Reinforcement Learning Tree. CoRR Qingyang Li, Zhiwen Yu, Lina Yao, Bin Guo
2021	J	`jnl`	Rethink, Revisit, Revise: A Spiral Reinforced Self-Revised Network for Zero-Shot Learning. CoRR Zhe Liu, Yun Li, Lina Yao, Julian J. McAuley, Sam Dixon
2021	A*	`conf`	Task Aligned Generative Meta-learning for Zero-shot Learning. AAAI Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Guodong Long
2021	J	`jnl`	Task Aligned Generative Meta-learning for Zero-shot Learning. CoRR Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Guodong Long
2021	J	`jnl`	The Future of False Information Detection on Social Media: New Perspectives and Trends. ACM Comput. Surv. Bin Guo, Yasan Ding, Lina Yao, Yunji Liang, Zhiwen Yu
2021	A*	`conf`	Three Birds with One Stone: Multi-Task Temporal Action Detection via Recycling Temporal Annotations. CVPR Zhihui Li, Lina Yao
2021	J	`jnl`	Unsupervised Cross-View Feature Selection on incomplete data. Knowl. Based Syst. Yuanyuan Xu, Yu Yin, Jun Wang, Jinmao Wei, Jian Liu, Lina Yao, Wenjie Zhang
2021	J	`jnl`	Unsupervised Person Re-Identification: A Systematic Survey of Challenges and Solutions. CoRR Xiangtan Lin, Pengzhen Ren, Chung-Hsing Yeh, Lina Yao, Andy Song, Xiaojun Chang
2021	J	`jnl`	VID: Human identification through vein patterns captured from commodity depth cameras. IET Biom. Syed W. Shah, Salil S. Kanhere, Jin Zhang, Lina Yao
2020	J	`jnl`	A Multi-view CNN-based Acoustic Classification System for Automatic Animal Species Identification. CoRR Weitao Xu, Xiang Zhang, Lina Yao, Wanli Xue, Bo Wei
2020	J	`jnl`	A Semisupervised Recurrent Convolutional Attention Model for Human Activity Recognition. IEEE Trans. Neural Networks Learn. Syst. Kaixuan Chen, Lina Yao, Dalin Zhang, Xianzhi Wang, Xiaojun Chang, Feiping Nie
2020	J	`jnl`	A multi-view CNN-based acoustic classification system for automatic animal species identification. Ad Hoc Networks Weitao Xu, Xiang Zhang, Lina Yao, Wanli Xue, Bo Wei
2020	J	`jnl`	A unified framework for data integrity protection in people-centric smart cities. Multim. Tools Appl. May S. Altulyan, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Chaoran Huang
2020	J	`jnl`	AMRNN: attended multi-task recurrent neural networks for dynamic illness severity prediction. World Wide Web Weitong Chen, Guodong Long, Lina Yao, Quan Z. Sheng
2020	—	`conf`	Active Object Estimation for Human-Robot Collaborative Tasks. ICONIP (2) Chaoran Huang, Lina Yao
2020	A*	`conf`	Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting. NeurIPS Lei Bai, Lina Yao, Can Li, Xianzhi Wang, Can Wang
2020	J	`jnl`	Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting. CoRR Lei Bai, Lina Yao, Can Li, Xianzhi Wang, Can Wang
2020	A*	`conf`	Adaptive Two-Dimensional Embedded Image Clustering. AAAI Zhihui Li, Lina Yao, Sen Wang, Salil S. Kanhere, Xue Li, Huaxiang Zhang
2020	A*	`conf`	Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems. SIGIR Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Wei Emma Zhang
2020	J	`jnl`	Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems. CoRR Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Wei Emma Zhang
2020	J	`jnl`	Adversarial Multi-view Networks for Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Lei Bai, Lina Yao, Xianzhi Wang, Salil S. Kanhere, Bin Guo, Zhiwen Yu
2020	J	`jnl`	Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection. IEEE J. Biomed. Health Informatics Xiang Zhang, Lina Yao, Manqing Dong, Zhe Liu, Yu Zhang, Yong Li
2020	J	`jnl`	Agglomerative Neural Networks for Multi-view Clustering. CoRR Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Feiping Nie
2020	J	`jnl`	An enhanced probabilistic fairness-aware group recommendation by incorporating social activeness. J. Netw. Comput. Appl. Yang Xiao, Qingqi Pei, Lina Yao, Shui Yu, Lei Bai, Xianzhi Wang
2020	B	`conf`	Are You A Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction. IJCNN Zhe Liu, Lina Yao, Xianzhi Wang, Lei Bai, Jake An
2020	J	`jnl`	Are You A Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction. CoRR Zhe Liu, Lina Yao, Xianzhi Wang, Lei Bai, Jake An
2020	J	`jnl`	Correction to: Special issue on recommender system. CCF Trans. Pervasive Comput. Interact. Bin Guo, Xing Xie, Lina Yao, Yong Li, Xia Hu
2020	J	`jnl`	Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems. CoRR Dai Hoang Tran, Quan Z. Sheng, Wei Emma Zhang, Salma Abdalla Hamad, Munazza Zaib, Nguyen Hoang Tran, Lina Yao, Nguyen Lu Dang Khoa
2020	J	`jnl`	Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities. CoRR Kaixuan Chen, Dalin Zhang, Lina Yao, Bin Guo, Zhiwen Yu, Yunhao Liu
2020	J	`jnl`	DeepKey: A Multimodal Biometric Authentication System via Deep Decoding Gaits and Brainwaves. ACM Trans. Intell. Syst. Technol. Xiang Zhang, Lina Yao, Chaoran Huang, Tao Gu, Zheng Yang, Yunhao Liu
2020	J	`jnl`	Dual-stream generative adversarial networks for distributionally robust zero-shot learning. Inf. Sci. Huan Liu, Lina Yao, Qinghua Zheng, Minnan Luo, Hongke Zhao, Yanzhang Lyu
2020	J	`jnl`	Electronic Skin Wearable Sensors for Detecting Lumbar-Pelvic Movements. Sensors Yuxin Zhang, Pari Delir Haghighi, Frada Burstein, Lim Wei Yap, Wenlong Cheng, Lina Yao, Flavia M. Cicuttini
2020	A	`conf`	Exploring Missing Interactions: A Convolutional Generative Adversarial Network for Collaborative Filtering. CIKM Feng Yuan, Lina Yao, Boualem Benatallah
2020	J	`jnl`	Face to Purchase: Predicting Consumer Choices with Structured Facial and Behavioral Traits Embedding. CoRR Zhe Liu, Xianzhi Wang, Lina Yao, Jake An, Lei Bai, Ee-Peng Lim
2020	J	`jnl`	Generative Inverse Deep Reinforcement Learning for Online Recommendation. CoRR Xiaocong Chen, Lina Yao, Aixin Sun, Xianzhi Wang, Xiwei Xu, Liming Zhu
2020	A*	`conf`	Grounding Visual Concepts for Zero-Shot Event Detection and Event Captioning. KDD Zhihui Li, Xiaojun Chang, Lina Yao, Shirui Pan, Zongyuan Ge, Huaxiang Zhang
2020	A	`conf`	Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network. CIKM Can Li, Lei Bai, Wei Liu, Lina Yao, S. Travis Waller
2020	J	`jnl`	Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network. CoRR Can Li, Lei Bai, Wei Liu, Lina Yao, S. Travis Waller
2020	B	`conf`	Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation. IJCNN Xiaocong Chen, Chaoran Huang, Lina Yao, Xianzhi Wang, Wei Liu, Wenjie Zhang
2020	J	`jnl`	Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation. CoRR Xiaocong Chen, Chaoran Huang, Lina Yao, Xianzhi Wang, Wei Liu, Wenjie Zhang
2020	A*	`conf`	MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation. KDD Manqing Dong, Feng Yuan, Lina Yao, Xiwei Xu, Liming Zhu
2020	J	`jnl`	MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation. CoRR Manqing Dong, Feng Yuan, Lina Yao, Xiwei Xu, Liming Zhu
2020	J	`jnl`	MGNN: Mutualistic Graph Neural Network for Joint Friend and Item Recommendation. IEEE Intell. Syst. Yang Xiao, Lina Yao, Qingqi Pei, Xianzhi Wang, Jian Yang, Quan Z. Sheng
2020	J	`jnl`	Making Sense of Spatio-Temporal Preserving Representations for EEG-Based Human Intention Recognition. IEEE Trans. Cybern. Dalin Zhang, Lina Yao, Kaixuan Chen, Sen Wang, Xiaojun Chang, Yunhao Liu
2020	J	`jnl`	Memory transformation networks for weakly supervised visual classification. Knowl. Based Syst. Huan Liu, Qinghua Zheng, Minnan Luo, Xiaojun Chang, Caixia Yan, Lina Yao
2020	—	`conf`	Mobility Irregularity Detection with Smart Transit Card Data. PAKDD (1) Xuesong Wang, Lina Yao, Wei Liu, Can Li, Lei Bai, S. Travis Waller
2020	J	`jnl`	Momentum Contrastive Learning for Few-Shot COVID-19 Diagnosis from Chest CT Images. CoRR Xiaocong Chen, Lina Yao, Tao Zhou, Jinming Dong, Yu Zhang
2020	J	`jnl`	Motor Imagery Classification via Temporal Attention Cues of Graph Embedded EEG Signals. IEEE J. Biomed. Health Informatics Dalin Zhang, Kaixuan Chen, Debao Jian, Lina Yao
2020	J	`jnl`	NP-PROV: Neural Processes with Position-Relevant-Only Variances. CoRR Xuesong Wang, Lina Yao, Xianzhi Wang, Feiping Nie
2020	A	`conf`	Non-local Self-attentive Autoencoder for Genetic Functionality Prediction. CIKM Yun Li, Zhe Liu, Lina Yao, Zihuai He
2020	A*	`conf`	One-Shot Learning for Long-Tail Visual Relation Detection. AAAI Weitao Wang, Meng Wang, Sen Wang, Guodong Long, Lina Yao, Guilin Qi, Yang Chen
2020	J	`jnl`	Opinion fraud detection via neural autoencoder decision forest. Pattern Recognit. Lett. Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Chaoran Huang, Xiaodong Ning
2020	—	`conf`	Prototype Similarity Learning for Activity Recognition. PAKDD (1) Lei Bai, Lina Yao, Xianzhi Wang, Salil S. Kanhere, Yang Xiao
2020	J	`jnl`	Rating prediction via generative convolutional neural networks based regression. Pattern Recognit. Lett. Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah, Manqing Dong, Shuai Zhang
2020	J	`jnl`	RecRisk: An enhanced recommendation model with multi-facet risk control. Expert Syst. Appl. Yang Xiao, Qingqi Pei, Lina Yao, Xianzhi Wang
2020	J	`jnl`	Recommender Systems for the Internet of Things: A Survey. CoRR May S. Altulyan, Lina Yao, Xianzhi Wang, Chaoran Huang, Salil S. Kanhere, Quan Z. Sheng
2020	J	`jnl`	Reliability analysis for blockchain oracles. Comput. Electr. Eng. Sin Kuang Lo, Xiwei Xu, Mark Staples, Lina Yao
2020	J	`jnl`	Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images. CoRR Xiaocong Chen, Lina Yao, Yu Zhang
2020	A*	`conf`	Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction. AAAI Yang Li, Guodong Long, Tao Shen, Tianyi Zhou, Lina Yao, Huan Huo, Jing Jiang
2020	A*	`conf`	Shape-Oriented Convolution Neural Network for Point Cloud Analysis. AAAI Chaoyi Zhang, Yang Song, Lina Yao, Weidong Cai
2020	J	`jnl`	Shape-Oriented Convolution Neural Network for Point Cloud Analysis. CoRR Chaoyi Zhang, Yang Song, Lina Yao, Weidong Cai
2020	J	`jnl`	Software expert discovery via knowledge domain embeddings in a collaborative network. Pattern Recognit. Lett. Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Xiang Zhang
2020	A*	`conf`	Spectrum-Guided Adversarial Disparity Learning. KDD Zhe Liu, Lina Yao, Lei Bai, Xianzhi Wang, Can Wang
2020	J	`jnl`	Spectrum-Guided Adversarial Disparity Learning. CoRR Zhe Liu, Lina Yao, Lei Bai, Xianzhi Wang, Can Wang
2020	B	`conf`	TRec: Sequential Recommender Based On Latent Item Trend Information. IJCNN Ye Tao, Can Wang, Lina Yao, Weimin Li, Yonghong Yu
2020	J	`jnl`	TRec: Sequential Recommender Based On Latent Item Trend Information. CoRR Ye Tao, Can Wang, Lina Yao, Weimin Li, Yonghong Yu
2020	J	`jnl`	Trust in Recommender Systems: A Deep Learning Perspective. CoRR Manqing Dong, Feng Yuan, Lina Yao, Xianzhi Wang, Xiwei Xu, Liming Zhu
2020	J	`jnl`	Unraveling Metric Vector Spaces With Factorization for Recommendation. IEEE Trans. Ind. Informatics Shuai Zhang, Lina Yao, Bin Wu, Xiwei Xu, Xiang Zhang, Liming Zhu
2020	A*	`conf`	Zero-Shot Object Detection via Learning an Embedding from Semantic Space to Visual Space. IJCAI Licheng Zhang, Xianzhi Wang, Lina Yao, Lin Wu, Feng Zheng
2020	B	`conf`	Zero-Shot Object Detection with Textual Descriptions Using Convolutional Neural Networks. IJCNN Licheng Zhang, Xianzhi Wang, Lina Yao, Feng Zheng
2019	J	`jnl`	A Convolutional Recurrent Attention Model for Subject-Independent EEG Signal Analysis. IEEE Signal Process. Lett. Dalin Zhang, Lina Yao, Kaixuan Chen, Jessica Monaghan
2019	J	`jnl`	A Survey on Deep Learning based Brain Computer Interface: Recent Advances and New Frontiers. CoRR Xiang Zhang, Lina Yao, Xianzhi Wang, Jessica Monaghan, David McAlpine
2019	J	`jnl`	A reliable reputation computation framework for online items in E-commerce. J. Netw. Comput. Appl. Lichuan Ma, Qingqi Pei, Yong Xiang, Lina Yao, Shui Yu
2019	B	`conf`	Adversarial Collaborative Auto-encoder for Top-N Recommendation. IJCNN Feng Yuan, Lina Yao, Boualem Benatallah
2019	A*	`conf`	Adversarial Collaborative Neural Network for Robust Recommendation. SIGIR Feng Yuan, Lina Yao, Boualem Benatallah
2019	J	`jnl`	Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection. CoRR Xiang Zhang, Lina Yao, Manqing Dong, Zhe Liu, Yu Zhang, Yong Li
2019	A*	`conf`	Adversarial Variational Embedding for Robust Semi-supervised Learning. KDD Xiang Zhang, Lina Yao, Feng Yuan
2019	J	`jnl`	Adversarial Variational Embedding for Robust Semi-supervised Learning. CoRR Xiang Zhang, Lina Yao, Feng Yuan
2019	A*	`conf`	Collective Protection: Preventing Sensitive Inferences via Integrative Transformation. ICDM Dalin Zhang, Lina Yao, Kaixuan Chen, Guodong Long, Sen Wang
2019	A*	`conf`	DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns. IJCAI Feng Yuan, Lina Yao, Boualem Benatallah
2019	J	`jnl`	DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns. CoRR Feng Yuan, Lina Yao, Boualem Benatallah
2019	J	`jnl`	Deep Learning Based Recommender System: A Survey and New Perspectives. ACM Comput. Surv. Shuai Zhang, Lina Yao, Aixin Sun, Yi Tay
2019	—	`conf`	Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning. ICONIP (4) Xiang Zhang, Xiaocong Chen, Lina Yao, Chang Ge, Manqing Dong
2019	J	`jnl`	Deep Neural Network Hyperparameter Optimization with Orthogonal Array Tuning. CoRR Xiang Zhang, Xiaocong Chen, Lina Yao, Chang Ge, Manqing Dong
2019	A*	`conf`	DeepRec: An Open-source Toolkit for Deep Learning based Recommendation. IJCAI Shuai Zhang, Yi Tay, Lina Yao, Bin Wu, Aixin Sun
2019	J	`jnl`	DeepRec: An Open-source Toolkit for Deep Learning based Recommendation. CoRR Shuai Zhang, Yi Tay, Lina Yao, Bin Wu, Aixin Sun
2019	J	`jnl`	DeepStore: An Interaction-Aware Wide&Deep Model for Store Site Recommendation With Attentional Spatial Embeddings. IEEE Internet Things J. Yan Liu, Bin Guo, Nuo Li, Jing Zhang, Jingmin Chen, Daqing Zhang, Yinxiao Liu, Zhiwen Yu, Sizhe Zhang, Lina Yao
2019	A*	`conf`	Distributionally Robust Semi-Supervised Learning for People-Centric Sensing. AAAI Kaixuan Chen, Lina Yao, Dalin Zhang, Xiaojun Chang, Guodong Long, Sen Wang
2019	C	`conf`	Domain-Aware Unsupervised Cross-dataset Person Re-identification. ADMA Zhihui Li, Wenhe Liu, Xiaojun Chang, Lina Yao, Mahesh Prakash, Huaxiang Zhang
2019	B	`conf`	Dual-stream Self-Attentive Random Forest for False Information Detection. IJCNN Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Xiang Zhang, Quan Z. Sheng
2019	C	`conf`	Expert2Vec: Distributed Expert Representation Learning in Question Answering Community. ADMA Xiaocong Chen, Chaoran Huang, Xiang Zhang, Xianzhi Wang, Wei Liu, Lina Yao
2019	A*	`conf`	Holographic Factorization Machines for Recommendation. AAAI Yi Tay, Shuai Zhang, Anh Tuan Luu, Siu Cheung Hui, Lina Yao, Tran Dang Quang Vinh
2019	J	`jnl`	Inferring User Profile Attributes From Multidimensional Mobile Phone Sensory Data. IEEE Internet Things J. Zhiwen Yu, En Xu, He Du, Bin Guo, Lina Yao
2019	J	`jnl`	Internet of Things Meets Brain-Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity. IEEE Internet Things J. Xiang Zhang, Lina Yao, Shuai Zhang, Salil S. Kanhere, Michael Sheng, Yunhao Liu
2019	J	`jnl`	Internet of things search engine. Commun. ACM Nguyen Khoi Tran, Quan Z. Sheng, Muhammad Ali Babar, Lina Yao, Wei Emma Zhang, Schahram Dustdar
2019	A*	`conf`	Know Your Mind: Adaptive Cognitive Activity Recognition with Reinforced CNN. ICDM Xiang Zhang, Lina Yao, Xianzhi Wang, Wenjie Zhang, Shuai Zhang, Yunhao Liu
2019	A*	`conf`	Learning Attentional Temporal Cues of Brainwaves with Spatial Embedding for Motion Intent Detection. ICDM Dalin Zhang, Kaixuan Chen, Debao Jian, Lina Yao, Sen Wang, Po Li
2019	A*	`conf`	Learning to Hash for Efficient Search Over Incomplete Knowledge Graphs. ICDM Meng Wang, Haomin Shen, Sen Wang, Lina Yao, Yinlin Jiang, Guilin Qi, Yang Chen
2019	Misc	`conf`	Mobile golf swing tracking using deep learning with data fusion: poster abstract. SenSys Hong Jia, Yuezhong Wu, Jun Liu, Lina Yao, Wen Hu
2019	A*	`conf`	Multi-agent Attentional Activity Recognition. IJCAI Kaixuan Chen, Lina Yao, Dalin Zhang, Bin Guo, Zhiwen Yu
2019	J	`jnl`	Multi-agent Attentional Activity Recognition. CoRR Kaixuan Chen, Lina Yao, Dalin Zhang, Bin Guo, Zhiwen Yu
2019	J	`jnl`	Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals. Aust. J. Intell. Inf. Process. Syst. Xiang Zhang, Xiaocong Chen, Manqing Dong, Huan Liu, Chang Ge, Lina Yao
2019	J	`jnl`	Multi-task Generative Adversarial Learning on Geometrical Shape Reconstruction from EEG Brain Signals. CoRR Xiang Zhang, Xiaocong Chen, Manqing Dong, Huan Liu, Chang Ge, Lina Yao
2019	J	`jnl`	Novel Artificial Bee Colony Algorithms for QoS-Aware Service Selection. IEEE Trans. Serv. Comput. Xianzhi Wang, Xiaofei Xu, Quan Z. Sheng, Zhongjie Wang, Lina Yao
2019	—	`conf`	Passenger Demand Forecasting with Multi-Task Convolutional Recurrent Neural Networks. PAKDD (2) Lei Bai, Lina Yao, Salil S. Kanhere, Zheng Yang, Jing Chu, Xianzhi Wang
2019	—	`conf`	Passenger Demographic Attributes Prediction for Human-Centered Public Transport. ICONIP (4) Can Li, Lei Bai, Wei Liu, Lina Yao, S. Travis Waller
2019	A*	`conf`	Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph. IJCAI Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang
2019	J	`jnl`	Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph. CoRR Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang
2019	A*	`conf`	Quaternion Collaborative Filtering for Recommendation. IJCAI Shuai Zhang, Lina Yao, Lucas Vinh Tran, Aston Zhang, Yi Tay
2019	J	`jnl`	Quaternion Collaborative Filtering for Recommendation. CoRR Shuai Zhang, Lina Yao, Lucas Vinh Tran, Aston Zhang, Yi Tay
2019	J	`jnl`	Quaternion Knowledge Graph Embedding. CoRR Shuai Zhang, Yi Tay, Lina Yao, Qi Liu
2019	A*	`conf`	Quaternion Knowledge Graph Embeddings. NeurIPS Shuai Zhang, Yi Tay, Lina Yao, Qi Liu
2019	J	`jnl`	Recommendations on the Internet of Things: Requirements, Challenges, and Directions. IEEE Internet Comput. Lina Yao, Xianzhi Wang, Quan Z. Sheng, Schahram Dustdar, Shuai Zhang
2019	C	`conf`	Reminder Care System: An Activity-Aware Cross-Device Recommendation System. ADMA May S. Altulyan, Chaoran Huang, Lina Yao, Xianzhi Wang, Salil S. Kanhere, Yuanjiang Cao
2019	A*	`conf`	STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting. IJCAI Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Quan Z. Sheng
2019	J	`jnl`	STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting. CoRR Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Quan Z. Sheng
2019	J	`jnl`	Self-Attention Enhanced Selective Gate with Entity-Aware Embedding for Distantly Supervised Relation Extraction. CoRR Yang Li, Guodong Long, Tao Shen, Tianyi Zhou, Lina Yao, Huan Huo, Jing Jiang
2019	—	`conf`	Similarity-Aware Deep Attentive Model for Clickbait Detection. PAKDD (2) Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Chaoran Huang
2019	J	`jnl`	Source-Aware Crisis-Relevant Tweet Identification and Key Information Summarization. ACM Trans. Internet Techn. Xiaodong Ning, Lina Yao, Boualem Benatallah, Yihong Zhang, Quan Z. Sheng, Salil S. Kanhere
2019	A	`conf`	Spatio-Temporal Graph Convolutional and Recurrent Networks for Citywide Passenger Demand Prediction. CIKM Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Wei Liu, Zheng Yang
2019	J	`jnl`	Special issue on recommender system. CCF Trans. Pervasive Comput. Interact. Bin Guo, Xing Xie, Lina Yao, Yong Li, Cecilia Mascolo, Xia Hu
2019	J	`jnl`	The Future of Misinformation Detection: New Perspectives and Trends. CoRR Bin Guo, Yasan Ding, Lina Yao, Yunji Liang, Zhiwen Yu
2019	A*	`conf`	Zero-Shot Object Detection with Textual Descriptions. AAAI Zhihui Li, Lina Yao, Xiaoqin Zhang, Xianzhi Wang, Salil S. Kanhere, Huaxiang Zhang
2019	J	`jnl`	Zero-shot event detection via event-adaptive concept relevance mining. Pattern Recognit. Zhihui Li, Lina Yao, Xiaojun Chang, Kun Zhan, Jiande Sun, Huaxiang Zhang
2018	J	`jnl`	A Learning-Based Framework for Improving Querying on Web Interfaces of Curated Knowledge Bases. ACM Trans. Internet Techn. Wei Emma Zhang, Quan Z. Sheng, Lina Yao, Kerry Taylor, Ali Shemshadi, Yongrui Qin
2018	C	`conf`	A Simulation Approach for Studying Behavior and Quality of Blockchain Networks. ICBC Bozhi Wang, Shiping Chen, Lina Yao, Bin Liu, Xiwei Xu, Liming Zhu
2018	J	`jnl`	A Survey on Expert Recommendation in Community Question Answering. CoRR Xianzhi Wang, Chaoran Huang, Lina Yao, Boualem Benatallah, Manqing Dong
2018	J	`jnl`	A Survey on Expert Recommendation in Community Question Answering. J. Comput. Sci. Technol. Xianzhi Wang, Chaoran Huang, Lina Yao, Boualem Benatallah, Manqing Dong
2018	J	`jnl`	A sensor-based wrist pulse signal processing and lung cancer recognition. J. Biomed. Informatics Zhichao Zhang, Yuan Zhang, Lina Yao, Houbing Song, Anton Kos
2018	J	`jnl`	Adversarial Collaborative Auto-encoder for Top-N Recommendation. CoRR Feng Yuan, Lina Yao, Boualem Benatallah
2018	A*	`conf`	Adversarially Regularized Graph Autoencoder for Graph Embedding. IJCAI Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang
2018	J	`jnl`	Adversarially Regularized Graph Autoencoder. CoRR Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang
2018	J	`jnl`	An Internet of Things Based Multi-Level Privacy-Preserving Access Control for Smart Living. Informatics Usama Salama, Lina Yao, Hye-Young Paik
2018	B	`conf`	Automatic Device Classification from Network Traffic Streams of Internet of Things. LCN Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Zheng Yang
2018	J	`jnl`	Automatic Device Classification from Network Traffic Streams of Internet of Things. CoRR Lei Bai, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Zheng Yang
2018	J	`jnl`	Brain2Object: Printing Your Mind from Brain Signals with Spatial Correlation Embedding. CoRR Xiang Zhang, Lina Yao, Chaoran Huang, Salil S. Kanhere, Dalin Zhang
2018	A*	`conf`	Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-based Intention Recognition for Brain Computer Interface. AAAI Dalin Zhang, Lina Yao, Xiang Zhang, Sen Wang, Weitong Chen, Robert Boots, Boualem Benatallah
2018	J	`jnl`	Collaborative Location Recommendation by Integrating Multi-dimensional Contextual Information. ACM Trans. Internet Techn. Lina Yao, Quan Z. Sheng, Xianzhi Wang, Wei Emma Zhang, Yongrui Qin
2018	J	`jnl`	Collaborative text categorization via exploiting sparse coefficients. World Wide Web Lina Yao, Quan Z. Sheng, Xianzhi Wang, Shengrui Wang, Xue Li, Sen Wang
2018	J	`jnl`	Compressive Representation for Device-Free Activity Recognition with Passive RFID Signal Strength. IEEE Trans. Mob. Comput. Lina Yao, Quan Z. Sheng, Xue Li, Tao Gu, Mingkui Tan, Xianzhi Wang, Sen Wang, Wenjie Ruan
2018	A*	`conf`	Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals. PerCom Xiang Zhang, Lina Yao, Quan Z. Sheng, Salil S. Kanhere, Tao Gu, Dalin Zhang
2018	A	`conf`	Coupled Linear and Deep Nonlinear Method for Meetup Service Recommendation. ICWS Shuai Zhang, Lina Yao, Xiaodong Ning, Chaoran Huang, Xiwei Xu, Shiyan Ou
2018	—	`conf`	DUAL: A Deep Unified Attention Model with Latent Relation Representations for Fake News Detection. WISE (1) Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Quan Z. Sheng, Hao Huang
2018	—	`conf`	Data-Augmented Regression with Generative Convolutional Network. WISE (2) Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Xiang Zhang
2018	J	`jnl`	Device-free human localization and tracking with UHF passive RFID tags: A data-driven approach. J. Netw. Comput. Appl. Wenjie Ruan, Quan Z. Sheng, Lina Yao, Xue Li, Nickolas J. G. Falkner, Lei Yang
2018	J	`jnl`	Distributionally Robust Semi-Supervised Learning for People-Centric Sensing. CoRR Kaixuan Chen, Lina Yao, Dalin Zhang, Xiaojun Chang, Guodong Long, Sen Wang
2018	A*	`conf`	Dynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care Unit. ICDM Weitong Chen, Sen Wang, Guodong Long, Lina Yao, Quan Z. Sheng, Xue Li
2018	A	`conf`	EEG-based Motion Intention Recognition via Multi-task RNNs. SDM Weitong Chen, Sen Wang, Xiang Zhang, Lina Yao, Lin Yue, Buyue Qian, Xue Li
2018	A	`conf`	Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships. ICSOC Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Manqing Dong
2018	J	`jnl`	Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships. CoRR Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Manqing Dong
2018	—	`conf`	Fuzzy Integral Optimization with Deep Q-Network for EEG-Based Intention Recognition. PAKDD (1) Dalin Zhang, Lina Yao, Sen Wang, Kaixuan Chen, Zheng Yang, Boualem Benatallah
2018	J	`jnl`	GrCAN: Gradient Boost Convolutional Autoencoder with Neural Decision Forest. CoRR Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang
2018	C	`conf`	Industry 4.0, How to Integrate Legacy Devices: A Cloud IoT Approach. IECON Marcosiris A. O. Pessoa, Marcos A. Pisching, Lina Yao, Fabrício Junqueira, Paulo E. Miyagi, Boualem Benatallah
2018	J	`jnl`	Internet of Things Meets Brain-Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity. CoRR Xiang Zhang, Lina Yao, Shuai Zhang, Salil S. Kanhere, Quan Z. Sheng, Yunhao Liu
2018	J	`jnl`	Internet of Things Search Engine: Concepts, Classification, and Open Issues. CoRR Nguyen Khoi Tran, Quan Z. Sheng, Muhammad Ali Babar, Lina Yao, Wei Emma Zhang, Schahram Dustdar
2018	B	`conf`	Interpretable Parallel Recurrent Neural Networks with Convolutional Attentions for Multi-Modality Activity Modeling. IJCNN Kaixuan Chen, Lina Yao, Xianzhi Wang, Dalin Zhang, Tao Gu, Zhiwen Yu, Zheng Yang
2018	J	`jnl`	Interpretable Parallel Recurrent Neural Networks with Convolutional Attentions for Multi-Modality Activity Modeling. CoRR Kaixuan Chen, Lina Yao, Xianzhi Wang, Dalin Zhang, Tao Gu, Zhiwen Yu, Zheng Yang
2018	J	`jnl`	Know Your Mind: Adaptive Brain Signal Classification with Reinforced Attentive Convolutional Neural Networks. CoRR Xiang Zhang, Lina Yao, Xianzhi Wang, Wenjie Zhang, Zheng Yang, Yunhao Liu
2018	J	`jnl`	Learning-based SPARQL query performance modeling and prediction. World Wide Web Wei Emma Zhang, Quan Z. Sheng, Yongrui Qin, Kerry Taylor, Lina Yao
2018	J	`jnl`	MindID: Person Identification from Brain Waves through Attention-based Recurrent Neural Network. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Xiang Zhang, Lina Yao, Salil S. Kanhere, Yunhao Liu, Tao Gu, Kaixuan Chen
2018	—	`conf`	Mining POI Alias from Microblog Conversations. PAKDD (1) Yihong Zhang, Lina Yao
2018	A*	`conf`	Multi-Rate Gated Recurrent Convolutional Networks for Video-Based Pedestrian Re-Identification. AAAI Zhihui Li, Lina Yao, Feiping Nie, Dingwen Zhang, Min Xu
2018	A*	`conf`	Multi-modality Sensor Data Classification with Selective Attention. IJCAI Xiang Zhang, Lina Yao, Chaoran Huang, Sen Wang, Mingkui Tan, Guodong Long, Can Wang
2018	J	`jnl`	Multi-modality Sensor Data Classification with Selective Attention. CoRR Xiang Zhang, Lina Yao, Chaoran Huang, Sen Wang, Mingkui Tan, Guodong Long, Can Wang
2018	A*	`conf`	NeuRec: On Nonlinear Transformation for Personalized Ranking. IJCAI Shuai Zhang, Lina Yao, Aixin Sun, Sen Wang, Guodong Long, Manqing Dong
2018	J	`jnl`	NeuRec: On Nonlinear Transformation for Personalized Ranking. CoRR Shuai Zhang, Lina Yao, Aixin Sun, Sen Wang, Guodong Long, Manqing Dong
2018	J	`jnl`	Next Item Recommendation with Self-Attention. CoRR Shuai Zhang, Yi Tay, Lina Yao, Aixin Sun
2018	J	`jnl`	Opinion Fraud Detection via Neural Autoencoder Decision Forest. CoRR Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Chaoran Huang, Xiaodong Ning
2018	B	`conf`	Passenger Demand Prediction with Cellular Footprints. SECON Jing Chu, Kun Qian, Xu Wang, Lina Yao, Fu Xiao, Jianbo Li, Xin Miao, Zheng Yang
2018	J	`jnl`	Position and Distance: Recommendation beyond Matrix Factorization. CoRR Shuai Zhang, Lina Yao, Chaoran Huang, Xiwei Xu, Liming Zhu
2018	C	`conf`	Predicting Citywide Passenger Demand via Reinforcement Learning from Spatio-Temporal Dynamics. MobiQuitous Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah, Flora D. Salim, Pari Delir Haghighi
2018	A	`conf`	Ready for Use: Subject-Independent Movement Intention Recognition via a Convolutional Attention Model. CIKM Dalin Zhang, Lina Yao, Kaixuan Chen, Sen Wang
2018	J	`jnl`	Software Expert Discovery via Knowledge Domain Embeddings in a Collaborative Network. CoRR Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Xiang Zhang
2018	A*	`conf`	Trace Ratio Optimization With Feature Correlation Mining for Multiclass Discriminant Analysis. AAAI Forough Rezaei Boroujeni, Sen Wang, Zhihui Li, Nicholas West, Bela Stantic, Lina Yao, Guodong Long
2018	J	`jnl`	WITS: an IoT-endowed computational framework for activity recognition in personalized smart homes. Computing Lina Yao, Quan Z. Sheng, Boualem Benatallah, Schahram Dustdar, Xianzhi Wang, Ali Shemshadi, Salil S. Kanhere
2017	—	`conf`	A Kernel-Based Approach to Developing Adaptable and Reusable Sensor Retrieval Systems for the Web of Things. WISE (1) Nguyen Khoi Tran, Quan Z. Sheng, Muhammad Ali Babar, Lina Yao
2017	A*	`conf`	AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders. SIGIR Shuai Zhang, Lina Yao, Xiwei Xu
2017	J	`jnl`	AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders. CoRR Shuai Zhang, Lina Yao, Xiwei Xu
2017	—	`ch.`	Building Entity Graphs for the Web of Things Management. Managing the Web of Things Lina Yao, Quan Z. Sheng, Anne H. H. Ngu, Xue Li, Boualem Benatallah, Xianzhi Wang
2017	C	`conf`	Calling for Response: Automatically Distinguishing Situation-Aware Tweets During Crises. ADMA Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah
2017	J	`jnl`	Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals. CoRR Xiang Zhang, Lina Yao, Quan Z. Sheng, Salil S. Kanhere, Tao Gu, Dalin Zhang
2017	J	`jnl`	Deep Learning based Recommender System: A Survey and New Perspectives. CoRR Shuai Zhang, Lina Yao, Aixin Sun
2017	J	`jnl`	DeepKey: An EEG and Gait Based Dual-Authentication System. CoRR Xiang Zhang, Lina Yao, Kaixuan Chen, Xianzhi Wang, Quan Z. Sheng, Tao Gu
2017	J	`jnl`	Dynamic Intention-Aware Recommendation System. CoRR Shuai Zhang, Lina Yao
2017	J	`jnl`	EEG-based Intention Recognition from Spatio-Temporal Representations via Cascade and Parallel Convolutional Recurrent Neural Networks. CoRR Dalin Zhang, Lina Yao, Xiang Zhang, Sen Wang, Weitong Chen, Robert Boots
2017	J	`jnl`	Efficient computation of distance labeling for decremental updates in large dynamic graphs. World Wide Web Yongrui Qin, Quan Z. Sheng, Nickolas J. G. Falkner, Lina Yao, Simon Parkinson
2017	J	`jnl`	Enhancing Mind Controlled Smart Living Through Recurrent Neural Networks. CoRR Xiang Zhang, Lina Yao, Chaoran Huang, Quan Z. Sheng, Xianzhi Wang
2017	A	`conf`	Expert as a Service: Software Expert Recommendation via Knowledge Domain Embeddings in Stack Overflow. ICWS Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Quan Z. Sheng
2017	—	`conf`	Fall Detection Using Smartwatch Sensor Data with Accessor Architecture. ICSH Anne H. H. Ngu, Yeahuay Wu, Habil Zare, Andrew Polican, Brock Yarbrough, Lina Yao
2017	C	`conf`	Fault Detection and Localization in Distributed Systems Using Recurrent Convolutional Neural Networks. ADMA Guangyang Qi, Lina Yao, Anton V. Uzunov
2017	J	`jnl`	Fullie and Wiselie: A Dual-Stream Recurrent Convolutional Attention Model for Activity Recognition. CoRR Kaixuan Chen, Lina Yao, Tao Gu, Zhiwen Yu, Xianzhi Wang, Dalin Zhang
2017	C	`conf`	Gait Optimization for Multiple Humanoid Robots Based on Parallel Multi-swarm Particle Swarm Algorithm. MobiQuitous Chunguang Li, Rongyi He, Lina Yao, Chongben Tao
2017	—	`conf`	Hybrid Collaborative Recommendation via Semi-AutoEncoder. ICONIP (1) Shuai Zhang, Lina Yao, Xiwei Xu, Sen Wang, Liming Zhu
2017	J	`jnl`	Hybrid Collaborative Recommendation via Semi-AutoEncoder. CoRR Shuai Zhang, Lina Yao, Xiwei Xu, Sen Wang, Liming Zhu
2017	—	`conf`	Intent Recognition in Smart Living Through Deep Recurrent Neural Networks. ICONIP (2) Xiang Zhang, Lina Yao, Chaoran Huang, Quan Z. Sheng, Xianzhi Wang
2017	C	`conf`	Interpolating the Missing Values for Multi-Dimensional Spatial-Temporal Sensor Data: A Tensor SVD Approach. MobiQuitous Peipei Xu, Wenjie Ruan, Quan Z. Sheng, Tao Gu, Lina Yao
2017	J	`jnl`	Learning Multiple Diagnosis Codes for ICU Patients with Local Disease Correlation Mining. ACM Trans. Knowl. Discov. Data Sen Wang, Xue Li, Xiaojun Chang, Lina Yao, Quan Z. Sheng, Guodong Long
2017	—	`book`	Managing the Web of Things: Linking the Real World to the Web Michael Sheng, Yongrui Qin, Lina Yao, Boualem Benatallah
2017	J	`jnl`	MindID: Person Identification from Brain Waves through Attention-based Recurrent Neural Network. CoRR Xiang Zhang, Lina Yao, Salil S. Kanhere, Yunhao Liu, Tao Gu, Kaixuan Chen
2017	A	`conf`	Multi-Level Privacy-Preserving Access Control as a Service for Personal Healthcare Monitoring. ICWS Usama Salama, Lina Yao, Xianzhi Wang, Hye-Young Paik, Amin Beheshti
2017	C	`conf`	Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis. MobiQuitous Xiang Zhang, Lina Yao, Dalin Zhang, Xianzhi Wang, Quan Z. Sheng, Tao Gu
2017	J	`jnl`	Multi-Person Brain Activity Recognition via Comprehensive EEG Signal Analysis. CoRR Xiang Zhang, Lina Yao, Dalin Zhang, Xianzhi Wang, Quan Z. Sheng, Tao Gu
2017	—	`ch.`	Preface. Managing the Web of Things Quan Z. Sheng, Yongrui Qin, Lina Yao, Boualem Benatallah
2017	J	`jnl`	Searching for the internet of things: where it is and what it looks like. Pers. Ubiquitous Comput. Ali Shemshadi, Quan Z. Sheng, Yongrui Qin, Aixin Sun, Wei Emma Zhang, Lina Yao
2017	J	`jnl`	Searching the Web of Things: State of the Art, Challenges, and Solutions. ACM Comput. Surv. Nguyen Khoi Tran, Quan Z. Sheng, Muhammad Ali Babar, Lina Yao
2017	A	`conf`	SourceVote: Fusing Multi-valued Data via Inter-source Agreements. ER Xiu Susie Fang, Quan Z. Sheng, Xianzhi Wang, Mahmoud Barhamgi, Lina Yao, Anne H. H. Ngu
2017	J	`jnl`	Unveiling Correlations via Mining Human-Thing Interactions in the Web of Things. ACM Trans. Intell. Syst. Technol. Lina Yao, Quan Z. Sheng, Anne H. H. Ngu, Xue Li, Boualem Benattalah
2016	—	`conf`	Approximate Semantic Matching over Linked Data Streams. DEXA (2) Yongrui Qin, Lina Yao, Quan Z. Sheng
2016	J	`jnl`	CloudArmor: Supporting Reputation-Based Trust Management for Cloud Services. IEEE Trans. Parallel Distributed Syst. Talal H. Noor, Quan Z. Sheng, Lina Yao, Schahram Dustdar, Anne H. H. Ngu
2016	A	`conf`	Context as a Service: Realizing Internet of Things-Aware Processes for the Independent Living of the Elderly. ICSOC Lina Yao, Boualem Benatallah, Xianzhi Wang, Nguyen Khoi Tran, Qinghua Lu
2016	C	`conf`	Device-free indoor localization and tracking through Human-Object Interactions. WoWMoM Wenjie Ruan, Quan Z. Sheng, Lina Yao, Tao Gu, Michele Ruta, Longfei Shangguan
2016	J	`jnl`	Diagnosis Code Assignment Using Sparsity-Based Disease Correlation Embedding. IEEE Trans. Knowl. Data Eng. Sen Wang, Xiaojun Chang, Xue Li, Guodong Long, Lina Yao, Quan Z. Sheng
2016	A	`conf`	Efficient Orthogonal Non-negative Matrix Factorization over Stiefel Manifold. CIKM Wei Emma Zhang, Mingkui Tan, Quan Z. Sheng, Lina Yao, Qinfeng Shi
2016	A	`conf`	Empowering Truth Discovery with Multi-Truth Prediction. CIKM Xianzhi Wang, Quan Z. Sheng, Lina Yao, Xue Li, Xiu Susie Fang, Xiaofei Xu, Boualem Benatallah
2016	—	`conf`	HOI-Loc: Towards unobstructive human localization with probabilistic multi-sensor fusion. PerCom Workshops Wenjie Ruan, Quan Z. Sheng, Lina Yao, Lei Yang, Tao Gu
2016	—	`conf`	Identification as a Service: Large-Scale Cloud Service Discovery over the World Wide Web. BigData Congress Abdullah Alfazi, Quan Z. Sheng, Wei Emma Zhang, Lina Yao, Talal H. Noor
2016	Misc	`conf`	Learning from less for better: semi-supervised activity recognition via shared structure discovery. UbiComp Lina Yao, Feiping Nie, Quan Z. Sheng, Tao Gu, Xue Li, Sen Wang
2016	—	`conf`	Learning-Based SPARQL Query Performance Prediction. WISE (1) Wei Emma Zhang, Quan Z. Sheng, Kerry L. Taylor, Yongrui Qin, Lina Yao
2016	J	`jnl`	Multi-label classification via learning a unified object-label graph with sparse representation. World Wide Web Lina Yao, Quan Z. Sheng, Anne H. H. Ngu, Byron J. Gao, Xue Li, Sen Wang
2016	A	`conf`	PLMwsp: Probabilistic Latent Model for Web Service QoS Prediction. ICWS Bobaker Mohamed A. Madi, Quan Z. Sheng, Lina Yao, Yongrui Qin, Xianzhi Wang
2016	—	`conf`	PreventDark: Automatically detecting and preventing problematic use of smartphones in darkness. PerCom Workshops Wenjie Ruan, Quan Z. Sheng, Lina Yao, Nguyen Khoi Tran, Yu Chieh Yang
2016	C	`conf`	Recognizing Daily Living Activity Using Embedded Sensors in Smartphones: A Data-Driven Approach. ADMA Wenjie Ruan, Leon Chea, Quan Z. Sheng, Lina Yao
2016	Misc	`conf`	SECF: improving SPARQL querying performance with proactive fetching and caching. SAC Wei Emma Zhang, Quan Z. Sheng, Yongrui Qin, Lina Yao, Ali Shemshadi, Kerry L. Taylor
2016	J	`jnl`	Searching for the Internet of Things on the Web: Where It Is and What It Looks Like. CoRR Ali Shemshadi, Quan Z. Sheng, Wei Emma Zhang, Aixin Sun, Yongrui Qin, Lina Yao
2016	J	`jnl`	Things of Interest Recommendation by Leveraging Heterogeneous Relations in the Internet of Things. ACM Trans. Internet Techn. Lina Yao, Quan Z. Sheng, Anne H. H. Ngu, Xue Li
2016	A	`conf`	Truth Discovery via Exploiting Implications from Multi-Source Data. CIKM Xianzhi Wang, Quan Z. Sheng, Lina Yao, Xue Li, Xiu Susie Fang, Xiaofei Xu, Boualem Benatallah
2016	—	`conf`	Uncovering Locally Discriminative Structure for Feature Analysis. ECML/PKDD (1) Sen Wang, Feiping Nie, Xiaojun Chang, Xue Li, Quan Z. Sheng, Lina Yao
2016	J	`jnl`	Uncovering Locally Discriminative Structure for Feature Analysis. CoRR Sen Wang, Feiping Nie, Xiaojun Chang, Xue Li, Quan Z. Sheng, Lina Yao
2015	J	`jnl`	A simulation method for social networks. Soc. Netw. Anal. Min. Rui Zeng, Quan Z. Sheng, Lina Yao
2015	A	`conf`	An Integrated Bayesian Approach for Effective Multi-Truth Discovery. CIKM Xianzhi Wang, Quan Z. Sheng, Xiu Susie Fang, Lina Yao, Xiaofei Xu, Xue Li
2015	A	`conf`	Approximate Truth Discovery via Problem Scale Reduction. CIKM Xianzhi Wang, Quan Z. Sheng, Xiu Susie Fang, Xue Li, Xiaofei Xu, Lina Yao
2015	A*	`conf`	Context-aware Point-of-Interest Recommendation Using Tensor Factorization with Social Regularization. SIGIR Lina Yao, Quan Z. Sheng, Yongrui Qin, Xianzhi Wang, Ali Shemshadi, Qi He
2015	—	`conf`	ECS: A Framework for Diversified and Relevant Search in the Internet of Things. WISE (1) Ali Shemshadi, Lina Yao, Yongrui Qin, Quan Z. Sheng, Yihong Zhang
2015	A*	`conf`	Freedom: Online Activity Recognition via Dictionary-Based Sparse Representation of RFID Sensing Data. ICDM Lina Yao, Quan Z. Sheng, Xue Li, Sen Wang, Tao Gu, Wenjie Ruan, Wan Zou
2015	J	`jnl`	Guest Editorial: Big Data Analytics and the Web. IEEE Trans. Big Data Quan Z. Sheng, Athanasios V. Vasilakos, Qi Yu, Lina Yao
2015	J	`jnl`	RF-Care: Device-Free Posture Recognition for Elderly People Using A Passive RFID Tag Array. EAI Endorsed Trans. Ambient Syst. Lina Yao, Quan Z. Sheng, Wenjie Ruan, Tao Gu, Xue Li, Nick Falkner, Zhi Yang
2015	A	`conf`	Service Recommendation for Mashup Composition with Implicit Correlation Regularization. ICWS Lina Yao, Xianzhi Wang, Quan Z. Sheng, Wenjie Ruan, Wei Zhang
2015	C	`conf`	TagFall: Towards Unobstructive Fine-Grained Fall Detection based on UHF Passive RFID Tags. MobiQuitous Wenjie Ruan, Lina Yao, Quan Z. Sheng, Nickolas J. G. Falkner, Xue Li, Tao Gu
2015	J	`jnl`	Unified Collaborative and Content-Based Web Service Recommendation. IEEE Trans. Serv. Comput. Lina Yao, Quan Z. Sheng, Anne H. H. Ngu, Jian Yu, Aviv Segev
2015	B	`conf`	Unobtrusive Posture Recognition via Online Learning of Multi-dimensional RFID Received Signal Strength. ICPADS Lina Yao, Quan Z. Sheng, Wenjie Ruan, Xue Li, Sen Wang, Zhi Yang
2015	—	`conf`	Unsupervised Feature Analysis with Class Margin Optimization. ECML/PKDD (1) Sen Wang, Feiping Nie, Xiaojun Chang, Lina Yao, Xue Li, Quan Z. Sheng
2015	J	`jnl`	Unsupervised Feature Analysis with Class Margin Optimization. CoRR Sen Wang, Feiping Nie, Xiaojun Chang, Lina Yao, Xue Li, Quan Z. Sheng
2015	J	`jnl`	Unveiling Contextual Similarity of Things via Mining Human-Thing Interactions in the Internet of Things. CoRR Lina Yao, Quan Z. Sheng, Anne H. H. Ngu, Byron J. Gao, Boualem Benatallah, Xue Li
2015	J	`jnl`	Up in the Air: When Homes Meet the Web of Things. CoRR Lina Yao, Quan Z. Sheng, Boualem Benatallah, Schahram Dustdar, Ali Shemshadi, Xianzhi Wang, Anne H. H. Ngu
2015	J	`jnl`	Web-Based Management of the Internet of Things. IEEE Internet Comput. Lina Yao, Quan Z. Sheng, Schahram Dustdar
2014	J	`jnl`	Behavior modeling and automated verification of Web services. Inf. Sci. Quan Z. Sheng, Zakaria Maamar, Lina Yao, Claudia Szabo, Scott Bourne
2014	J	`jnl`	Commitments to Regulate Social Web Services Operation. IEEE Trans. Serv. Comput. Zakaria Maamar, Noura Faci, Khouloud Boukadi, Quan Z. Sheng, Lina Yao
2014	A	`conf`	Exploring Tag-Free RFID-Based Passive Localization and Tracking via Learning-Based Probabilistic Approaches. CIKM Lina Yao, Wenjie Ruan, Quan Z. Sheng, Xue Li, Nickolas J. G. Falkner
2014	A*	`conf`	Exploring recommendations in internet of things. SIGIR Lina Yao, Quan Z. Sheng, Anne H. H. Ngu, Helen Ashman, Xue Li
2014	A	`conf`	Keeping You in the Loop: Enabling Web-based Things Management in the Internet of Things. CIKM Lina Yao, Quan Z. Sheng, Anne H. H. Ngu, Byron J. Gao
2014	—	`conf`	Keyword Search over Web Documents Based on Earth Mover's Distance. WISE (1) Jiangang Ma, Quan Z. Sheng, Lina Yao, Yong Xu, Ali Shemshadi
2014	A*	`conf`	ServiceXplorer: a similarity-based web service search engine. SIGIR Anne H. H. Ngu, Jiangang Ma, Quan Z. Sheng, Lina Yao, Scott Julian
2014	C	`conf`	TagTrack: device-free localization and tracking using passive RFID tags. MobiQuitous Wenjie Ruan, Lina Yao, Quan Z. Sheng, Nickolas J. G. Falkner, Xue Li
2014	C	`conf`	ThingsNavi: finding most-related things via multi-dimensional modeling of human-thing interactions. MobiQuitous Lina Yao, Quan Z. Sheng, Nickolas J. G. Falkner, Anne H. H. Ngu
2013	A*	`conf`	A Model for Discovering Correlations of Ubiquitous Things. ICDM Lina Yao, Quan Z. Sheng, Byron J. Gao, Anne H. H. Ngu, Xue Li
2013	—	`conf`	A Practical Simulation Method for Social Networks. AWC Rui Zeng, Quan Z. Sheng, Lina Yao, Tianwei Xu, Dong Xie
2013	—	`conf`	Correlation discovery in web of things. WWW (Companion Volume) Lina Yao, Quan Z. Sheng
2013	A	`conf`	Recommending Web Services via Combining Collaborative Filtering with Content-Based Features. ICWS Lina Yao, Quan Z. Sheng, Aviv Segev, Jian Yu
2013	—	`conf`	The 3 ANT/SEIT Lina Yao, Sujith Samuel Mathew, Michele Ruta
2012	J	`jnl`	A synergy between context-aware policies and AOP to achieve highly adaptable Web services. Serv. Oriented Comput. Appl. Hamdi Yahyaoui, Azzam Mourad, Mohammed Almulla, Lina Yao, Quan Z. Sheng
2012	A	`conf`	A tag-centric discriminative model for web objects classification. CIKM Lina Yao, Quan Z. Sheng
2012	J	`jnl`	Achieving High Availability of Web Services Based on A Particle Filtering Approach. Int. J. Next Gener. Comput. Lina Yao, Quan Z. Sheng, Zakaria Maamar
2012	A	`conf`	Exploiting latent relevance for relational learning of ubiquitous things. CIKM Lina Yao, Quan Z. Sheng
2012	B	`conf`	PeerTrack: a platform for tracking and tracing objects in large-scale traceability networks. EDBT Yanbo Wu, Quan Z. Sheng, Damith Chinthana Ranasinghe, Lina Yao
2012	B	`conf`	Towards a User-Centric Social Approach to Web Services Composition, Execution, and Monitoring. WISE Zakaria Maamar, Noura Faci, Quan Z. Sheng, Lina Yao
2011	—	`conf`	A Propagation Model for Integrating Web of Things and Social Networks. ICSOC Workshops Lina Yao
2011	A	`conf`	Particle Filtering Based Availability Prediction for Web Services. ICSOC Lina Yao, Quan Z. Sheng