Zulong Chen

Orcid: 0000-0003-0807-6889

According to our database1, Zulong Chen authored at least 33 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Collaboration or Competition: An Infomax-Based Period-Aware Transformer for Ticket-Grabbing Prediction.
IEEE Trans. Intell. Transp. Syst., December, 2024

Retrieval-style In-context Learning for Few-shot Hierarchical Text Classification.
Trans. Assoc. Comput. Linguistics, 2024

Think Thrice Before You Act: Progressive Thought Refinement in Large Language Models.
CoRR, 2024

Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation.
CoRR, 2024

AutoCrawler: A Progressive Understanding Web Agent for Web Crawler Generation.
CoRR, 2024

Character is Destiny: Can Large Language Models Simulate Persona-Driven Decisions in Role-Playing?
CoRR, 2024

Modeling User Viewing Flow using Large Language Models for Article Recommendation.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Dynamic Hotel Pricing at Online Travel Platforms: A Popularity and Competitiveness Aware Demand Learning Approach.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Mixed Distillation Helps Smaller Language Models Reason Better.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

AutoScraper: A Progressive Understanding Web Agent for Web Scraper Generation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Language Models-enhanced Semantic Topology Representation Learning For Temporal Knowledge Graph Extrapolation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

UID-Net: Enhancing Click-Through Rate Prediction in Trigger-Induced Recommendation Through User Interest Decomposition.
Proceedings of the Advanced Data Mining and Applications - 20th International Conference, 2024

2023
On the Vulnerability of Graph Learning-based Collaborative Filtering.
ACM Trans. Inf. Syst., October, 2023

Leveraging user itinerary to improve personalized deep matching at Fliggy.
VLDB J., September, 2023

Multitask Learning Using Feature Extraction Network for Smart Tourism Applications.
IEEE Internet Things J., 2023

MUSENET: Multi-Scenario Learning for Repeat-Aware Personalized Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Event-Aware Adaptive Clustering Uplift Network for Insurance Creative Ranking.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

PlanRanker: Towards Personalized Ranking of Train Transfer Plans.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022
Spatial-Temporal Deep Intention Destination Networks for Online Travel Planning.
IEEE Trans. Intell. Transp. Syst., 2022

Exploiting User Preferences for Multiscenarios in Query-Less Search.
IEEE Trans. Comput. Soc. Syst., 2022

Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced Recommendation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

When Online Meets Offline: Exploring Periodicity for Travel Destination Prediction.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

G2NET: A General Geography-Aware Representation Network for Hotel Search Ranking.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

ODNET: A Novel Personalized Origin-Destination Ranking Network for Flight Recommendation.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Cheaper Is Better: Exploring Price Competitiveness for Online Purchase Prediction.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Modeling Price Elasticity for Occupancy Prediction in Hotel Dynamic Pricing.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

SASNet: Stage-aware Sequential Matching for Online Travel Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Dual Channel Intent Evolution Network for Predicting Period-Aware Travel Intentions at Fliggy.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

SMINet: State-Aware Multi-Aspect Interests Representation Network for Cold-Start Users Recommendation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Itinerary-aware Personalized Deep Matching at Fliggy.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Hierarchically Modeling Micro and Macro Behaviors via Multi-Task Learning for Conversion Rate Prediction.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

SAR-Net: A Scenario-Aware Ranking Network for Personalized Fair Recommendation in Hundreds of Travel Scenarios.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
LHRM: A LBS Based Heterogeneous Relations Model for User Cold Start Recommendation in Online Travel Platform.
Proceedings of the Neural Information Processing - 27th International Conference, 2020


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