Zhu Sun
Orcid: 0000-0002-3350-7022
According to our database1,
Zhu Sun
authored at least 72 papers
between 2015 and 2024.
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Bibliography
2024
BERD+: A Generic Sequential Recommendation Framework by Eliminating Unreliable Data with Item- and Attribute-level Signals.
ACM Trans. Inf. Syst., March, 2024
Who Wants to Shop With You: Joint Product-Participant Recommendation for Group-Buying Service.
IEEE Trans. Neural Networks Learn. Syst., February, 2024
ACM Trans. Inf. Syst., January, 2024
A Multi-channel Next POI Recommendation Framework with Multi-granularity Check-in Signals.
ACM Trans. Inf. Syst., January, 2024
CoRR, 2024
Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation.
CoRR, 2024
2023
Conversation-Based Adaptive Relational Translation Method for Next POI Recommendation With Uncertain Check-Ins.
IEEE Trans. Neural Networks Learn. Syst., October, 2023
IEEE Trans. Neural Networks Learn. Syst., September, 2023
Attention Over Self-Attention: Intention-Aware Re-Ranking With Dynamic Transformer Encoders for Recommendation.
IEEE Trans. Knowl. Data Eng., August, 2023
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023
Path Planning Optimization With Multiple Pesticide and Power Loading Bases Using Several Unmanned Aerial Systems on Segmented Agricultural Fields.
IEEE Trans. Syst. Man Cybern. Syst., March, 2023
Purpose tendency-aware diversified strategy for effective session-based recommendation.
Electron. Commer. Res. Appl., January, 2023
Deriving Agricultural Field Boundaries for Crop Management from Satellite Images Using Semantic Feature Pyramid Network.
Remote. Sens., 2023
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions and Prospects.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Domain Disentanglement with Interpolative Data Augmentation for Dual-Target Cross-Domain Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
Disentangling Motives behind Item Consumption and Social Connection for Mutually-enhanced Joint Prediction.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
Meta-learning Enhanced Next POI Recommendation by Leveraging Check-ins from Auxiliary Cities.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023
Theoretically Guaranteed Bidirectional Data Rectification for Robust Sequential Recommendation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
2022
IEEE Trans. Knowl. Data Eng., 2022
IEEE Trans. Comput. Soc. Syst., 2022
A Multi-Channel Next POI Recommendation Framework with Multi-Granularity Check-in Signals.
CoRR, 2022
Attention over Self-attention: Intention-aware Re-ranking with Dynamic Transformer Encoders for Recommendation.
CoRR, 2022
Joint path planning and scheduling for vehicle-assisted multiple Unmanned Aerial Systems plant protection operation.
Comput. Electron. Agric., 2022
Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
2021
Minimalistic Attacks: How Little It Takes to Fool Deep Reinforcement Learning Policies.
IEEE Trans. Cogn. Dev. Syst., 2021
Electron. Commer. Res. Appl., 2021
Does Every Data Instance Matter? Enhancing Sequential Recommendation by Eliminating Unreliable Data.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
2020
Modeling hierarchical category transition for next POI recommendation with uncertain check-ins.
Inf. Sci., 2020
Neurocomputing, 2020
Defending Adversarial Attacks without Adversarial Attacks in Deep Reinforcement Learning.
CoRR, 2020
A hybrid algorithm based on MOSFLA and GA for multi-UAVs plant protection task assignment and sequencing optimization.
Appl. Soft Comput., 2020
Exploiting Deeply Supervised Inception Networks for Automatically Detecting Traffic Congestion on Freeway in China Using Ultra-Low Frame Rate Videos.
IEEE Access, 2020
A Practical Weather Detection Method Built in the Surveillance System Currently Used to Monitor the Large-Scale Freeway in China.
IEEE Access, 2020
Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
An Interactive Multi-Task Learning Framework for Next POI Recommendation with Uncertain Check-ins.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
An Attentional Recurrent Neural Network for Personalized Next Location Recommendation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Research commentary on recommendations with side information: A survey and research directions.
Electron. Commer. Res. Appl., 2019
Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy.
CoRR, 2019
Online spraying quality assessment system of plant protection unmanned aerial vehicle based on Android client.
Comput. Electron. Agric., 2019
Quantitative Assessment on Truck-Related Road Risk for the Safety Control via Truck Flow Estimation of Various Types.
IEEE Access, 2019
Modeling Heterogeneous Influences for Point-of-Interest Recommendation in Location-Based Social Networks.
Proceedings of the Web Engineering - 19th International Conference, 2019
Proceedings of the Web Engineering - 19th International Conference, 2019
2018
Inf. Sci., 2018
Regional Detection of Traffic Congestion Using in a Large-Scale Surveillance System via Deep Residual TrafficNet.
IEEE Access, 2018
Proceedings of the 12th ACM Conference on Recommender Systems, 2018
2017
Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017
Proceedings of the Adjunct Publication of the 25th Conference on User Modeling, 2017
Learning hierarchical category influence on both users and items for effective recommendation.
Proceedings of the Symposium on Applied Computing, 2017
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
MRLR: Multi-level Representation Learning for Personalized Ranking in Recommendation.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Exploiting both Vertical and Horizontal Dimensions of Feature Hierarchy for Effective Recommendation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Comput. Electron. Agric., 2016
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016
TBPR: Trinity Preference based Bayesian Personalized Ranking for Multivariate Implicit Feedback.
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016
Learning Hierarchical Feature Influence for Recommendation by Recursive Regularization.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016
2015
Proceedings of the User Modeling, Adaptation and Personalization, 2015
Proceedings of the User Modeling, Adaptation and Personalization, 2015
Proceedings of the Posters, Demos, Late-breaking Results and Workshop Proceedings of the 23rd Conference on User Modeling, Adaptation, and Personalization (UMAP 2015), Dublin, Ireland, June 29, 2015