296 citations · 342 across the 6 of their papers we have counts for
6 papers
Finding Similar Exercises in Retrieval Manner
Tongwen Huang, Xihua Li, Chao Yi +2
When students make a mistake in an exercise, they can consolidate it by ``similar exercises'' which have the same concepts, purposes and methods. Commonly, for a certain subject an…
An Empirical Study of Finding Similar Exercises
Tongwen Huang, Xihua Li
Education artificial intelligence aims to profit tasks in the education domain such as intelligent test paper generation and consolidation exercises where the main technique behind…
BoostingBERT:Integrating Multi-Class Boosting into BERT for NLP Tasks
Tongwen Huang, Qingyun She, Junlin Zhang
As a pre-trained Transformer model, BERT (Bidirectional Encoder Representations from Transformers) has achieved ground-breaking performance on multiple NLP tasks. On the other hand…
GateNet: Gating-Enhanced Deep Network for Click-Through Rate Prediction
Tongwen Huang, Qingyun She, Zhiqiang Wang +1
Advertising and feed ranking are essential to many Internet companies such as Facebook. Among many real-world advertising and feed ranking systems, click through rate (CTR) predict…
FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction
Tongwen Huang, Zhiqi Zhang, Junlin Zhang
Advertising and feed ranking are essential to many Internet companies such as Facebook and Sina Weibo. Among many real-world advertising and feed ranking systems, click through rat…
FAT-DeepFFM: Field Attentive Deep Field-aware Factorization Machine
Junlin Zhang, Tongwen Huang, Zhiqi Zhang
Click through rate (CTR) estimation is a fundamental task in personalized advertising and recommender systems. Recent years have witnessed the success of both the deep learning bas…