Changping Meng

According to our database, Changping Meng authored at least 12 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Reducing Symbiosis Bias through Better A/B Tests of Recommendation Algorithms.

Jennifer Brennan, Yahu Cong, Yiwei Yu, Lina Lin, Yajun Peng, Changping Meng, Ningren Han, Jean Pouget-Abadie, David M. Holtz

Proceedings of the ACM on Web Conference 2025, 2025

Balancing Fine-tuning and RAG: A Hybrid Strategy for Dynamic LLM Recommendation Updates.

Changping Meng, Hongyi Ling, Jianling Wang, Yifan Liu, Shuzhou Zhang, Dapeng Hong, Mingyan Gao, Onkar Dalal, Ed H. Chi, Lichan Hong, Haokai Lu, Ningren Han

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

LLM-Powered Nuanced Video Attribute Annotation for Enhanced Recommendations.

Boyuan Long, Yueqi Wang, Hiloni Mehta, Mick Zomnir, Omkar Pathak, Changping Meng, Ruolin Jia, Yajun Peng, Dapeng Hong, Xia Wu, Mingyan Gao, Onkar Dalal, Ningren Han

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 2025

2024

Cluster Anchor Regularization to Alleviate Popularity Bias in Recommender Systems.

Bo Chang, Changping Meng, He Ma, Shuo Chang, Yang Gu, Yajun Peng, Jingchen Feng, Yaping Zhang, Shuchao Bi, Ed H. Chi, Minmin Chen

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Country-diverted experiments for mitigation of network effects.

Lina Lin, Changping Meng, Jennifer Brennan, Jean Pouget-Abadie, Ningren Han, Shuchao Bi, Yajun Peng

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2020

ReadNet: A Hierarchical Transformer Framework for Web Article Readability Analysis.

Changping Meng, Muhao Chen, Jie Mao, Jennifer Neville

Proceedings of the Advances in Information Retrieval, 2020

2019

HATS: A Hierarchical Sequence-Attention Framework for Inductive Set-of-Sets Embeddings.

Changping Meng, Jiasen Yang, Bruno Ribeiro, Jennifer Neville

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Learning to Differentiate Between Main-articles and Sub-articles in Wikipedia.

Muhao Chen, Changping Meng, Gang Huang, Carlo Zaniolo

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Neural Article Pair Modeling for Wikipedia Sub-article Matching.

Muhao Chen, Changping Meng, Gang Huang, Carlo Zaniolo

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Subgraph Pattern Neural Networks for High-Order Graph Evolution Prediction.

Changping Meng, S. Chandra Mouli, Bruno Ribeiro, Jennifer Neville

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2015

Discovering Meta-Paths in Large Heterogeneous Information Networks.

Changping Meng, Reynold Cheng, Silviu Maniu, Pierre Senellart, Wangda Zhang

Proceedings of the 24th International Conference on World Wide Web, 2015

2014

Discovering meta-paths in large knowledge bases.

Changping Meng

PhD thesis, 2014