Discovering meta-paths in large knowledge bases. - Changping Meng (2014)

Discovering Meta-Paths in Large Heterogeneous Information Networks. - Changping Meng; Reynold Cheng; Silviu Maniu; Pierre Senellart; Wangda Zhang (WWW, 2015)

Subgraph Pattern Neural Networks for High-Order Graph Evolution Prediction. - Changping Meng; S. Chandra Mouli; Bruno Ribeiro 001; Jennifer Neville (AAAI, 2018)

Neural Article Pair Modeling for Wikipedia Sub-article Matching. - Muhao Chen 001; Changping Meng; Gang Huang; Carlo Zaniolo (ECML/PKDD (3), 2018)

Learning to Differentiate Between Main-articles and Sub-articles in Wikipedia. - Muhao Chen 001; Changping Meng; Gang Huang; Carlo Zaniolo (IEEE BigData, 2019)

HATS: A Hierarchical Sequence-Attention Framework for Inductive Set-of-Sets Embeddings. - Changping Meng; Jiasen Yang; Bruno Ribeiro 001; Jennifer Neville (KDD, 2019)

ReadNet: A Hierarchical Transformer Framework for Web Article Readability Analysis. - Changping Meng; Muhao Chen 001; Jie Mao; Jennifer Neville (ECIR (1), 2020)

Country-diverted experiments for mitigation of network effects. - Lina Lin; Changping Meng; Jennifer Brennan; Jean Pouget-Abadie; Ningren Han; Shuchao Bi; Yajun Peng (RecSys, 2024)

Cluster Anchor Regularization to Alleviate Popularity Bias in Recommender Systems. - Bo Chang 002; Changping Meng; He Ma; Shuo Chang; Yang Gu; Yajun Peng; Jingchen Feng; Yaping Zhang; Shuchao Bi; Ed H. Chi; Minmin Chen (WWW (Companion Volume), 2024)

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 (WWW, 2025)