Shuai Zhang - RankMe

109 papers A* 27A 9C 1Misc 1Journal 58Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Efficient Table Retrieval and Understanding with Multimodal Large Language Models. EACL (Findings) Zhuoyan Xu, Haoyang Fang, Boran Han, Bonan Min, Bernie Wang, Cuixiong Hu, Shuai Zhang
2026	J	`jnl`	Efficient Table Retrieval and Understanding with Multimodal Large Language Models. CoRR Zhuoyan Xu, Haoyang Fang, Boran Han, Bonan Min, Bernie Wang, Cuixiong Hu, Shuai Zhang
2026	J	`jnl`	Hard Constraints Meet Soft Generation: Guaranteed Feasibility for LLM-based Combinatorial Optimization. CoRR Yang Liu, Chuan Zhou, Yancheng Chen, Shuai Zhang, Xixun Lin, Xiaoqing Wang
2026	J	`jnl`	MaxCode: A Max-Reward Reinforcement Learning Framework for Automated Code Optimization. CoRR Jiefu Ou, Sapana Chaudhary, Kaj Bostrom, Nathaniel Weir, Shuai Zhang, Huzefa Rangwala, George Karypis
2026	J	`jnl`	OPERA: Online Data Pruning for Efficient Retrieval Model Adaptation. CoRR Haoyang Fang, Shuai Zhang, Yifei Ma, Hengyi Wang, Cuixiong Hu, Katrin Kirchhoff, Bernie Wang, George Karypis
2026	J	`jnl`	SenTSR-Bench: Thinking with Injected Knowledge for Time-Series Reasoning. CoRR Zelin He, Boran Han, Xiyuan Zhang, Shuai Zhang, Haotian Lin, Qi Zhu, Haoyang Fang, Danielle C. Maddix, Abdul Fatir Ansari, Akash Chandrayan, Abhinav Pradhan, Yuyang Wang, Matthew Reimherr
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`	Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach. AISTATS Dheeraj Baby, Boran Han, Shuai Zhang, Cuixiong Hu, Bernie Wang, Yuxiang Wang
2025	J	`jnl`	Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach. CoRR Dheeraj Baby, Boran Han, Shuai Zhang, Cuixiong Hu, Yuyang Wang, Yuxiang Wang
2025	A*	`conf`	Conformal Anomaly Detection in Event Sequences. ICML Shuai Zhang, Chuan Zhou, Yang Liu, Peng Zhang, Xixun Lin, Shirui Pan
2025	A*	`conf`	Conformal Graph-level Out-of-distribution Detection with Adaptive Data Augmentation. WWW Xixun Lin, Yanan Cao, Nan Sun, Lixin Zou, Chuan Zhou, Peng Zhang, Shuai Zhang, Ge Zhang, Jia Wu
2025	J	`jnl`	CrEst: Credibility Estimation for Contexts in LLMs via Weak Supervision. CoRR Dyah Adila, Shuai Zhang, Boran Han, Bonan Min, Yuyang Wang
2025	J	`jnl`	Does Multimodality Lead to Better Time Series Forecasting? CoRR Xiyuan Zhang, Boran Han, Haoyang Fang, Abdul Fatir Ansari, Shuai Zhang, Danielle C. Maddix, Cuixiong Hu, Andrew Gordon Wilson, Michael W. Mahoney, Hao Wang, Yan Liu, Huzefa Rangwala, George Karypis, Bernie Wang
2025	J	`jnl`	Effectively Steer LLM To Follow Preference via Building Confident Directions. CoRR Bingqing Song, Boran Han, Shuai Zhang, Hao Wang, Haoyang Fang, Bonan Min, Yuyang Wang, Mingyi Hong
2025	J	`jnl`	Equivariant Hypergraph Diffusion for Crystal Structure Prediction. CoRR Yang Liu, Chuan Zhou, Shuai Zhang, Peng Zhang, Xixun Lin, Shirui Pan
2025	A*	`conf`	GENNEXT: The Next Generation of IR and Recommender Systems with Language Agents, Generative Models, and Conversational AI. SIGIR Yashar Deldjoo, Scott Sanner, Enrico Palumbo, Hugues Bouchard, Shuai Zhang, Pablo Castells, Julian J. McAuley
2025	J	`jnl`	HetRL: Efficient Reinforcement Learning for LLMs in Heterogeneous Environments. CoRR Yongjun He, Shuai Zhang, Jiading Gai, Xiyuan Zhang, Boran Han, Bernie Wang, Huzefa Rangwala, George Karypis
2025	A*	`conf`	Heterogeneous Graph Anomaly Detection with Graph Wavelet Transformer. ICDM Xiaoou Zhang, Chuan Zhou, Yang Liu, Shuai Zhang, Peng Zhang, Yujia Zhu, Qingyun Liu
2025	J	`jnl`	Mitra: Mixed Synthetic Priors for Enhancing Tabular Foundation Models. CoRR Xiyuan Zhang, Danielle C. Maddix, Junming Yin, Nick Erickson, Abdul Fatir Ansari, Boran Han, Shuai Zhang, Leman Akoglu, Christos Faloutsos, Michael W. Mahoney, Cuixiong Hu, Huzefa Rangwala, George Karypis, Bernie Wang
2025	—	`conf`	PipeRAG: Fast Retrieval-Augmented Generation via Adaptive Pipeline Parallelism. KDD (1) Wenqi Jiang, Shuai Zhang, Boran Han, Jie Wang, Bernie Wang, Tim Kraska
2025	J	`jnl`	RHGNN: imposing relational inductive bias for heterogeneous graph neural network. Int. J. Mach. Learn. Cybern. Shichao Zhu, Shuai Zhang, Yang Liu, Chuan Zhou, Shirui Pan, Zhao Li, Hongyang Chen
2025	A*	`conf`	Sharpness-aware Zeroth-order Optimization for Graph Transformers. IJCAI Yang Liu, Chuan Zhou, Yuhan Lin, Shuai Zhang, Yang Gao, Zhao Li, Shirui Pan
2025	A*	`conf`	Toward Holistic Evaluation of Recommender Systems Powered by Generative Models. SIGIR Yashar Deldjoo, Nikhil Mehta, Maheswaran Sathiamoorthy, Shuai Zhang, Pablo Castells, Julian J. McAuley
2025	J	`jnl`	Toward Holistic Evaluation of Recommender Systems Powered by Generative Models. CoRR Yashar Deldjoo, Nikhil Mehta, Maheswaran Sathiamoorthy, Shuai Zhang, Pablo Castells, Julian J. McAuley
2025	J	`jnl`	Visual Instruction Tuning with Chain of Region-of-Interest. CoRR Yixin Chen, Shuai Zhang, Boran Han, Bernie Wang
2024	A*	`conf`	Bridging Remote Sensors with Multisensor Geospatial Foundation Models. CVPR Boran Han, Shuai Zhang, Xingjian Shi, Markus Reichstein
2024	J	`jnl`	Bridging Remote Sensors with Multisensor Geospatial Foundation Models. CoRR Boran Han, Shuai Zhang, Xingjian Shi, Markus Reichstein
2024	A*	`conf`	CL4CO: A Curriculum Training Framework for Graph-Based Neural Combinatorial Optimization. ICDM Yang Liu, Chuan Zhou, Peng Zhang, Zhao Li, Shuai Zhang, Xixun Lin, Xindong Wu
2024	—	`conf`	CaMML: Context-Aware Multimodal Learner for Large Models. ACL (1) Yixin Chen, Shuai Zhang, Boran Han, Tong He, Bo Li
2024	J	`jnl`	CaMML: Context-Aware Multimodal Learner for Large Models. CoRR Yixin Chen, Shuai Zhang, Boran Han, Tong He, Bo Li
2024	—	`conf`	CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem Solving. NAACL-HLT (Findings) Pei Chen, Shuai Zhang, Boran Han
2024	J	`jnl`	CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem Solving. CoRR Pei Chen, Boran Han, Shuai Zhang
2024	A	`conf`	Data Augmentation for Object Detection via Controllable Diffusion Models. WACV Haoyang Fang, Boran Han, Shuai Zhang, Su Zhou, Cuixiong Hu, Wenming Ye
2024	A*	`conf`	Discovering Bias in Latent Space: An Unsupervised Debiasing Approach. ICML Dyah Adila, Shuai Zhang, Boran Han, Bernie Wang
2024	J	`jnl`	Discovering Bias in Latent Space: An Unsupervised Debiasing Approach. CoRR Dyah Adila, Shuai Zhang, Boran Han, Yuyang Wang
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	A*	`conf`	Neural Jump-Diffusion Temporal Point Processes. ICML Shuai Zhang, Chuan Zhou, Yang Aron Liu, Peng Zhang, Xixun Lin, Zhi-Ming Ma
2024	J	`jnl`	PipeRAG: Fast Retrieval-Augmented Generation via Algorithm-System Co-design. CoRR Wenqi Jiang, Shuai Zhang, Boran Han, Jie Wang, Bernie Wang, Tim Kraska
2024	A	`conf`	The 1st International Workshop on Risks, Opportunities, and Evaluation of Generative Models in Recommendation (ROEGEN). RecSys Yashar Deldjoo, Julian J. McAuley, Scott Sanner, Pablo Castells, Shuai Zhang, Enrico Palumbo
2024	A*	`conf`	Transferring Knowledge From Large Foundation Models to Small Downstream Models. ICML Shikai Qiu, Boran Han, Danielle C. Maddix, Shuai Zhang, Bernie Wang, Andrew Gordon Wilson
2024	J	`jnl`	Transferring Knowledge from Large Foundation Models to Small Downstream Models. CoRR Shikai Qiu, Boran Han, Danielle C. Maddix, Shuai Zhang, Yuyang Wang, Andrew Gordon Wilson
2024	A*	`conf`	Unraveling the Gradient Descent Dynamics of Transformers. NeurIPS Bingqing Song, Boran Han, Shuai Zhang, Jie Ding, Mingyi Hong
2024	J	`jnl`	Unraveling the Gradient Descent Dynamics of Transformers. CoRR Bingqing Song, Boran Han, Shuai Zhang, Jie Ding, Mingyi Hong
2023	A	`conf`	Co-design Hardware and Algorithm for Vector Search. SC Wenqi Jiang, Shigang Li, Yu Zhu, Johannes de Fine Licht, Zhenhao He, Runbin Shi, Cédric Renggli, Shuai Zhang, Theodoros Rekatsinas, Torsten Hoefler, Gustavo Alonso
2023	J	`jnl`	Co-design Hardware and Algorithm for Vector Search. CoRR Wenqi Jiang, Shigang Li, Yu Zhu, Johannes de Fine Licht, Zhenhao He, Runbin Shi, Cédric Renggli, Shuai Zhang, Theodoros Rekatsinas, Torsten Hoefler, Gustavo Alonso
2023	A*	`conf`	Data-Informed Geometric Space Selection. NeurIPS Shuai Zhang, Wenqi Jiang
2023	A*	`conf`	Decision-focused Graph Neural Networks for Graph Learning and Optimization. ICDM Yang Liu, Chuan Zhou, Peng Zhang, Shuai Zhang, Xiaoou Zhang, Zhao Li, Hongyang Chen
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`	Lightweight In-Context Tuning for Multimodal Unified Models. CoRR Yixin Chen, Shuai Zhang, Boran Han, Jiaya Jia
2023	J	`jnl`	MLOps Spanning Whole Machine Learning Life Cycle: A Survey. CoRR Zhengxin Fang, Yi Yuan, Jingyu Zhang, Yue Liu, Yuechen Mu, Qinghua Lu, Xiwei Xu, Jeff Wang, Chen Wang, Shuai Zhang, Shiping Chen
2023	A*	`conf`	Multiple Hypothesis Testing for Anomaly Detection in Multi-type Event Sequences. ICDM Shuai Zhang, Chuan Zhou, Peng Zhang, Yang Liu, Zhao Li, Hongyang Chen
2022	—	`ch.`	Deep Learning for Recommender Systems. Recommender Systems Handbook Shuai Zhang, Yi Tay, Lina Yao, Aixin Sun, Ce Zhang
2022	J	`jnl`	Modelling graph dynamics in fraud detection with "Attention". CoRR Susie Xi Rao, Clémence Lanfranchi, Shuai Zhang, Zhichao Han, Zitao Zhang, Wei Min, Mo Cheng, Yinan Shan, Yang Zhao, Ce Zhang
2022	J	`jnl`	NetNMSP: Nonoverlapping maximal sequential pattern mining. Appl. Intell. Yan Li, Shuai Zhang, Lei Guo, Jing Liu, Youxi Wu, Xindong Wu
2022	J	`jnl`	Neural Methods for Logical Reasoning Over Knowledge Graphs. CoRR Alfonso Amayuelas, Shuai Zhang, Susie Xi Rao, Ce Zhang
2022	A*	`conf`	Neural Methods for Logical Reasoning over Knowledge Graphs. ICLR Alfonso Amayuelas, Shuai Zhang, Susie Xi Rao, Ce Zhang
2021	C	`conf`	Attributed Heterogeneous Graph Neural Network for Malicious Domain Detection. CSCWD Shuai Zhang, Zhou Zhou, Da Li, Youbing Zhong, Qingyun Liu, Wei Yang, Shu Li
2021	A*	`conf`	Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n Parameters. ICLR Aston Zhang, Yi Tay, Shuai Zhang, Alvin Chan, Anh Tuan Luu, Siu Cheung Hui, Jie Fu
2021	J	`jnl`	Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n Parameters. CoRR Aston Zhang, Yi Tay, Shuai Zhang, Alvin Chan, Anh Tuan Luu, Siu Cheung Hui, Jie Fu
2021	A*	`conf`	DeGNN: Improving Graph Neural Networks with Graph Decomposition. KDD Xupeng Miao, Nezihe Merve Gürel, Wentao Zhang, Zhichao Han, Bo Li, Wei Min, Susie Xi Rao, Hansheng Ren, Yinan Shan, Yingxia Shao, Yujie Wang, Fan Wu, Hui Xue, Yaming Yang, Zitao Zhang, Yang Zhao, Shuai Zhang, Yujing Wang, Bin Cui, Ce Zhang
2021	A	`conf`	Ease.ML: A Lifecycle Management System for Machine Learning. CIDR Leonel Aguilar Melgar, David Dao, Shaoduo Gan, Nezihe Merve Gürel, Nora Hollenstein, Jiawei Jiang, Bojan Karlas, Thomas Lemmin, Tian Li, Yang Li, Susie Xi Rao, Johannes Rausch, Cédric Renggli, Luka Rimanic, Maurice Weber, Shuai Zhang, Zhikuan Zhao, Kevin Schawinski, Wentao Wu, Ce Zhang
2021	A*	`conf`	FleetRec: Large-Scale Recommendation Inference on Hybrid GPU-FPGA Clusters. KDD Wenqi Jiang, Zhenhao He, Shuai Zhang, Kai Zeng, Liang Feng, Jiansong Zhang, Tongxuan Liu, Yong Li, Jingren Zhou, Ce Zhang, Gustavo Alonso
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	—	`conf`	Knowledge Router: Learning Disentangled Representations for Knowledge Graphs. NAACL-HLT Shuai Zhang, Xi Rao, Yi Tay, Ce Zhang
2021	A	`conf`	Learning User Representations with Hypercuboids for Recommender Systems. WSDM Shuai Zhang, Huoyu Liu, Aston Zhang, Yue Hu, Ce Zhang, Yumeng Li, Tanchao Zhu, Shaojian He, Wenwu Ou
2021	—	`conf`	MicroRec: Efficient Recommendation Inference by Hardware and Data Structure Solutions. MLSys Wenqi Jiang, Zhenhao He, Shuai Zhang, Thomas B. Preußer, Kai Zeng, Liang Feng, Jiansong Zhang, Tongxuan Liu, Yong Li, Jingren Zhou, Ce Zhang, Gustavo Alonso
2021	—	`conf`	On Orthogonality Constraints for Transformers. ACL/IJCNLP (2) Aston Zhang, Alvin Chan, Yi Tay, Jie Fu, Shuohang Wang, Shuai Zhang, Huajie Shao, Shuochao Yao, Roy Ka-Wei Lee
2021	A*	`conf`	Self-Instantiated Recurrent Units with Dynamic Soft Recursion. NeurIPS Aston Zhang, Yi Tay, Yikang Shen, Alvin Chan, Shuai Zhang
2021	J	`jnl`	Switch Spaces: Learning Product Spaces with Sparse Gating. CoRR Shuai Zhang, Yi Tay, Wenqi Jiang, Da-Cheng Juan, Ce Zhang
2021	J	`jnl`	xFraud: Explainable Fraud Transaction Detection. Proc. VLDB Endow. Susie Xi Rao, Shuai Zhang, Zhichao Han, Zitao Zhang, Wei Min, Zhiyao Chen, Yinan Shan, Yang Zhao, Ce Zhang
2020	—	`conf`	BPA: The Optimal Placement of Interdependent VNFs in Many-Core System. CollaborateCom (2) Youbing Zhong, Zhou Zhou, Xuan Liu, Da Li, Meijun Guo, Shuai Zhang, Qingyun Liu, Li Guo
2020	A	`conf`	HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems. WSDM Lucas Vinh Tran, Yi Tay, Shuai Zhang, Gao Cong, Xiaoli Li
2020	J	`jnl`	Learning User Representations with Hypercuboids for Recommender Systems. CoRR Shuai Zhang, Huoyu Liu, Aston Zhang, Yue Hu, Ce Zhang, Yumeng Li, Tanchao Zhu, Shaojian He, Wenwu Ou
2020	J	`jnl`	MicroRec: Accelerating Deep Recommendation Systems to Microseconds by Hardware and Data Structure Solutions. CoRR Wenqi Jiang, Zhenhao He, Shuai Zhang, Thomas B. Preußer, Kai Zeng, Liang Feng, Jiansong Zhang, Tongxuan Liu, Yong Li, Jingren Zhou, Ce Zhang, Gustavo Alonso
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`	Suspicious Massive Registration Detection via Dynamic Heterogeneous Graph Neural Networks. CoRR Susie Xi Rao, Shuai Zhang, Zhichao Han, Zitao Zhang, Wei Min, Mo Cheng, Yinan Shan, Yang Zhao, Ce Zhang
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	J	`jnl`	xFraud: Explainable Fraud Transaction Detection on Heterogeneous Graphs. CoRR Susie Xi Rao, Shuai Zhang, Zhichao Han, Zitao Zhang, Wei Min, Zhiyao Chen, Yinan Shan, Yang Zhao, Ce Zhang
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	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	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`	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	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	—	`conf`	Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks. ACL (1) Yi Tay, Aston Zhang, Anh Tuan Luu, Jinfeng Rao, Shuai Zhang, Shuohang Wang, Jie Fu, Siu Cheung Hui
2019	J	`jnl`	Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks. CoRR Yi Tay, Aston Zhang, Luu Anh Tuan, Jinfeng Rao, Shuai Zhang, Shuohang Wang, Jie Fu, Siu Cheung Hui
2019	—	`—`	Personalized recommendation: neural architectures and beyond. Shuai 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
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`	Data-Augmented Regression with Generative Convolutional Network. WISE (2) Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang, Xiang Zhang
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	J	`jnl`	GrCAN: Gradient Boost Convolutional Autoencoder with Neural Decision Forest. CoRR Manqing Dong, Lina Yao, Xianzhi Wang, Boualem Benatallah, Shuai Zhang
2018	J	`jnl`	Hyperbolic Recommender Systems. CoRR Tran Dang Quang Vinh, Yi Tay, Shuai Zhang, Gao Cong, Xiao-Li Li
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	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`	Position and Distance: Recommendation beyond Matrix Factorization. CoRR Shuai Zhang, Lina Yao, Chaoran Huang, Xiwei Xu, Liming Zhu
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	J	`jnl`	Deep Learning based Recommender System: A Survey and New Perspectives. CoRR Shuai Zhang, Lina Yao, Aixin Sun
2017	J	`jnl`	Dynamic Intention-Aware Recommendation System. CoRR Shuai Zhang, Lina Yao
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