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Changping Meng
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2020 – today
- 2024
- [c8]Lina Lin, Changping Meng, Jennifer Brennan, Jean Pouget-Abadie, Ningren Han, Shuchao Bi, Yajun Peng:
Country-diverted experiments for mitigation of network effects. RecSys 2024: 765-767 - [c7]Bo Chang, Changping Meng, He Ma, Shuo Chang, Yang Gu, Yajun Peng, Jingchen Feng, Yaping Zhang, Shuchao Bi, Ed H. Chi, Minmin Chen:
Cluster Anchor Regularization to Alleviate Popularity Bias in Recommender Systems. WWW (Companion Volume) 2024: 151-160 - 2021
- [i2]Changping Meng, Muhao Chen, Jie Mao, Jennifer Neville:
ReadNet: A Hierarchical Transformer Framework for Web Article Readability Analysis. CoRR abs/2103.04083 (2021) - 2020
- [c6]Changping Meng, Muhao Chen, Jie Mao, Jennifer Neville:
ReadNet: A Hierarchical Transformer Framework for Web Article Readability Analysis. ECIR (1) 2020: 33-49
2010 – 2019
- 2019
- [c5]Muhao Chen, Changping Meng, Gang Huang, Carlo Zaniolo:
Learning to Differentiate Between Main-articles and Sub-articles in Wikipedia. IEEE BigData 2019: 1442-1449 - [c4]Changping Meng, Jiasen Yang, Bruno Ribeiro, Jennifer Neville:
HATS: A Hierarchical Sequence-Attention Framework for Inductive Set-of-Sets Embeddings. KDD 2019: 783-792 - 2018
- [c3]Changping Meng, S. Chandra Mouli, Bruno Ribeiro, Jennifer Neville:
Subgraph Pattern Neural Networks for High-Order Graph Evolution Prediction. AAAI 2018: 3778-3787 - [c2]Muhao Chen, Changping Meng, Gang Huang, Carlo Zaniolo:
Neural Article Pair Modeling for Wikipedia Sub-article Matching. ECML/PKDD (3) 2018: 3-19 - [i1]Muhao Chen, Changping Meng, Gang Huang, Carlo Zaniolo:
Neural Article Pair Modeling for Wikipedia Sub-article Matching. CoRR abs/1807.11689 (2018) - 2015
- [c1]Changping Meng, Reynold Cheng, Silviu Maniu, Pierre Senellart, Wangda Zhang:
Discovering Meta-Paths in Large Heterogeneous Information Networks. WWW 2015: 754-764 - 2014
- [b1]Changping Meng:
Discovering meta-paths in large knowledge bases. University of Hong Kong, Pokfulam, Hong Kong, 2014
Coauthor Index
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last updated on 2024-10-23 21:26 CEST by the dblp team
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