Lan Xu

Orcid: 0000-0003-0743-1965

Affiliations:
  • Tencent Advertising, Shanghai, China


According to our database1, Lan Xu authored at least 9 papers between 2019 and 2024.

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

Timeline

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Bibliography

2024
Follow the LIBRA: Guiding Fair Policy for Unified Impression Allocation via Adversarial Rewarding.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Utilizing Non-click Samples via Semi-supervised Learning for Conversion Rate Prediction.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Know in <i>AdVance: </i> Linear-Complexity Forecasting of Ad Campaign Performance with Evolving User Interest.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

FedMix: Boosting with Data Mixture for Vertical Federated Learning.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023
CLOCK: Online Temporal Hierarchical Framework for Multi-scale Multi-granularity Forecasting of User Impression.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
CONFLUX: A Request-level Fusion Framework for Impression Allocation via Cascade Distillation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

A Unified Guaranteed Impression Allocation Framework for Online Display Advertising.
Proceedings of the IEEE International Conference on Data Mining, 2022

2020
A Request-level Guaranteed Delivery Advertising Planning: Forecasting and Allocation.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019
Large-scale User Visits Understanding and Forecasting with Deep Spatial-Temporal Tensor Factorization Framework.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019


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