Xiangyu Zhao

Orcid: 0000-0003-2926-4416

Affiliations:
  • City University of Hong Kong, Hong Kong, China


According to our database1, Xiangyu Zhao authored at least 131 papers between 2016 and 2024.

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Bibliography

2024
Task Assignment With Efficient Federated Preference Learning in Spatial Crowdsourcing.
IEEE Trans. Knowl. Data Eng., April, 2024

AutoAssign+: Automatic Shared Embedding Assignment in streaming recommendation.
Knowl. Inf. Syst., January, 2024

The 2nd Workshop on Recommendation with Generative Models.
CoRR, 2024

SSDRec: Self-Augmented Sequence Denoising for Sequential Recommendation.
CoRR, 2024

Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models.
CoRR, 2024

Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models.
CoRR, 2024

BiVRec: Bidirectional View-based Multimodal Sequential Recommendation.
CoRR, 2024

Adversarial Curriculum Graph Contrastive Learning with Pair-wise Augmentation.
CoRR, 2024

Large Language Model Distilling Medication Recommendation Model.
CoRR, 2024

EASRec: Elastic Architecture Search for Efficient Long-term Sequential Recommender Systems.
CoRR, 2024

Cumulative Distribution Function based General Temporal Point Processes.
CoRR, 2024

MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Adversarial Attacks for Black-Box Recommender Systems via Copying Transferable Cross-Domain User Profiles.
IEEE Trans. Knowl. Data Eng., December, 2023

Mitigating the performance sacrifice in DP-satisfied federated settings through graph contrastive learning.
Inf. Sci., November, 2023

Interaction-aware Drug Package Recommendation via Policy Gradient.
ACM Trans. Inf. Syst., January, 2023

Large Language Models for Generative Information Extraction: A Survey.
CoRR, 2023

Agent4Ranking: Semantic Robust Ranking via Personalized Query Rewriting Using Multi-agent LLM.
CoRR, 2023

A Unified Framework for Multi-Domain CTR Prediction via Large Language Models.
CoRR, 2023

Large Multimodal Model Compression via Efficient Pruning and Distillation at AntGroup.
CoRR, 2023

E4SRec: An Elegant Effective Efficient Extensible Solution of Large Language Models for Sequential Recommendation.
CoRR, 2023

On the Opportunities of Green Computing: A Survey.
CoRR, 2023

Adversarial Batch Inverse Reinforcement Learning: Learn to Reward from Imperfect Demonstration for Interactive Recommendation.
CoRR, 2023

A General Neural Causal Model for Interactive Recommendation.
CoRR, 2023

MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion.
CoRR, 2023

Embedding in Recommender Systems: A Survey.
CoRR, 2023

MOELoRA: An MOE-based Parameter Efficient Fine-Tuning Method for Multi-task Medical Applications.
CoRR, 2023

Enhancing Traffic Prediction with Learnable Filter Module.
CoRR, 2023

MLPST: MLP is All You Need for Spatio-Temporal Prediction.
CoRR, 2023

KuaiSim: A Comprehensive Simulator for Recommender Systems.
CoRR, 2023

Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting.
CoRR, 2023

Scenario-Aware Hierarchical Dynamic Network for Multi-Scenario Recommendation.
CoRR, 2023

OpenSiteRec: An Open Dataset for Site Recommendation.
CoRR, 2023

Tensorized Hypergraph Neural Networks.
CoRR, 2023

IFedRec: Item-Guided Federated Aggregation for Cold-Start.
CoRR, 2023

Diffusion Model for GPS Trajectory Generation.
CoRR, 2023

Multimodal Recommender Systems: A Survey.
CoRR, 2023

Multi-Task Deep Recommender Systems: A Survey.
CoRR, 2023

User Retention-oriented Recommendation with Decision Transformer.
Proceedings of the ACM Web Conference 2023, 2023

Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning.
Proceedings of the ACM Web Conference 2023, 2023

Multi-Task Recommendations with Reinforcement Learning.
Proceedings of the ACM Web Conference 2023, 2023

AutoDenoise: Automatic Data Instance Denoising for Recommendations.
Proceedings of the ACM Web Conference 2023, 2023

MMMLP: Multi-modal Multilayer Perceptron for Sequential Recommendations.
Proceedings of the ACM Web Conference 2023, 2023

AutoMLP: Automated MLP for Sequential Recommendations.
Proceedings of the ACM Web Conference 2023, 2023

IMF: Interactive Multimodal Fusion Model for Link Prediction.
Proceedings of the ACM Web Conference 2023, 2023


Denoising and Prompt-Tuning for Multi-Behavior Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

Exploration and Regularization of the Latent Action Space in Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

AutoGen: An Automated Dynamic Model Generation Framework for Recommender System.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

AutoML for Deep Recommender Systems: Fundamentals and Advances.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

PLATE: A Prompt-Enhanced Paradigm for Multi-Scenario Recommendations.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Single-shot Feature Selection for Multi-task Recommendations.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Continuous Input Embedding Size Search For Recommender Systems.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Towards Robust Knowledge Tracing Models via k-Sparse Attention.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

AutoTransfer: Instance Transfer for Cross-Domain Recommendations.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

AutoDPQ: Automated Differentiable Product Quantization for Embedding Compression.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

STRec: Sparse Transformer for Sequential Recommendations.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

KuaiSim: A Comprehensive Simulator for Recommender Systems.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Doctor Specific Tag Recommendation for Online Medical Record Management.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Mitigating Action Hysteresis in Traffic Signal Control with Traffic Predictive Reinforcement Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Trustworthy Recommender Systems: Foundations and Frontiers.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

SC-Ques: A Sentence Completion Question Dataset for English as a Second Language Learners.
Proceedings of the Augmented Intelligence and Intelligent Tutoring Systems, 2023

Federated Knowledge Graph Completion via Latent Embedding Sharing and Tensor Factorization.
Proceedings of the IEEE International Conference on Data Mining, 2023

PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

MLPST: MLP is All You Need for Spatio-Temporal Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Counterfactual Adversarial Learning for Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Diffusion Augmentation for Sequential Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Towards Automatic ICD Coding via Knowledge Enhanced Multi-Task Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

HAMUR: Hyper Adapter for Multi-Domain Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

REST: Drug-Drug Interaction Prediction via Reinforced Student-Teacher Curriculum Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Assessing Student Performance with Multi-granularity Attention from Online Classroom Dialogue.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

AutoSTL: Automated Spatio-Temporal Multi-Task Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A Comprehensive Survey on Trustworthy Recommender Systems.
CoRR, 2022

Federated Graph Contrastive Learning.
CoRR, 2022

Automated Machine Learning for Deep Recommender Systems: A Survey.
CoRR, 2022

CBR: Context Bias aware Recommendation for Debiasing User Modeling and Click Prediction✱.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

AutoField: Automating Feature Selection in Deep Recommender Systems.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Rating Distribution Calibration for Selection Bias Mitigation in Recommendations.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022


DRL4IR: 3rd Workshop on Deep Reinforcement Learning for Information Retrieval.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Graph Trend Filtering Networks for Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

DDR: Dialogue Based Doctor Recommendation for Online Medical Service.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

AdaFS: Adaptive Feature Selection in Deep Recommender System.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Knowledge-enhanced Black-box Attacks for Recommendations.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

MLP4Rec: A Pure MLP Architecture for Sequential Recommendations.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Automated Self-Supervised Learning for Graphs.
Proceedings of the Tenth International Conference on Learning Representations, 2022

AutoAssign: Automatic Shared Embedding Assignment in Streaming Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2022

MAE4Rec: Storage-saving Transformer for Sequential Recommendations.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Hierarchical Item Inconsistency Signal Learning for Sequence Denoising in Sequential Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Gromov-Wasserstein Guided Representation Learning for Cross-Domain Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

PROPN: Personalized Probabilistic Strategic Parameter Optimization in Recommendations.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Multi-Type Urban Crime Prediction.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Progressive Cellular Architecture in Microscale Gas Chromatography for Broad Chemical Analyses.
Sensors, 2021

Graph Trend Networks for Recommendations.
CoRR, 2021

Data-Efficient Reinforcement Learning for Malaria Control.
CoRR, 2021

UserSim: User Simulation via Supervised GenerativeAdversarial Network.
Proceedings of the WWW '21: The Web Conference 2021, 2021

AutoDim: Field-aware Embedding Dimension Searchin Recommender Systems.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Towards Long-term Fairness in Recommendation.
Proceedings of the WSDM '21, 2021

DRL4IR: 2nd Workshop on Deep Reinforcement Learning for Information Retrieval.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

AutoLoss: Automated Loss Function Search in Recommendations.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations.
Proceedings of the IEEE International Conference on Data Mining, 2021

Attacking Black-box Recommendations via Copying Cross-domain User Profiles.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Memory-efficient Embedding for Recommendations.
CoRR, 2020

AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations.
CoRR, 2020

Exploring Spatio-Temporal and Cross-Type Correlations for Crime Prediction.
CoRR, 2020

Neural Interactive Collaborative Filtering.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Automated Embedding Size Search in Deep Recommender Systems.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Deep Reinforcement Learning for Information Retrieval: Fundamentals and Advances.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Jointly Learning to Recommend and Advertise.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Whole-Chain Recommendations.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Deep reinforcement learning for search, recommendation, and online advertising: a survey.
SIGWEB Newsl., 2019

Deep Reinforcement Learning for Online Advertising in Recommender Systems.
CoRR, 2019

Toward Simulating Environments in Reinforcement Learning Based Recommendations.
CoRR, 2019

Model-Based Reinforcement Learning for Whole-Chain Recommendations.
CoRR, 2019

Automatic Peak Integration and Baseline Correction for Micro-scale Gas Chromatographs Using Continuous Wavelet Transform.
Proceedings of the 2019 IEEE SENSORS, Montreal, QC, Canada, October 27-30, 2019, 2019

2018
Crime in Urban Areas: : A Data Mining Perspective.
SIGKDD Explor., 2018

Reinforcement Learning for Online Information Seeking.
CoRR, 2018

Deep Reinforcement Learning for List-wise Recommendations.
CoRR, 2018

Deep reinforcement learning for page-wise recommendations.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017
Incorporating Spatio-Temporal Smoothness for Air Quality Inference.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Exploring Transfer Learning for Crime Prediction.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Modeling Temporal-Spatial Correlations for Crime Prediction.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
CoSoLoRec: Joint Factor Model with Content, Social, Location for Heterogeneous Point-of-Interest Recommendation.
Proceedings of the Knowledge Science, Engineering and Management, 2016

Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Exploring the Choice Under Conflict for Social Event Participation.
Proceedings of the Database Systems for Advanced Applications, 2016


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