activity
20172022
most citedSimple and Deep Graph Convolutional Networks

402 citations · 590 across the 19 of their papers we have counts for

collaborators

31 papers

cs.CL2021

HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression

Chenhe Dong, Yaliang Li, Ying Shen +1

On many natural language processing tasks, large pre-trained language models (PLMs) have shown overwhelming performances compared with traditional neural network methods. Neverthel…

cs.CL2021

Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation

Yuexiang Xie, Fei Sun, Yang Deng +2

Despite significant progress has been achieved in text summarization, factual inconsistency in generated summaries still severely limits its practical applications. Among the key f…

cs.LG202120 cited

VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition

Yang Li, Yu Shen, Wentao Zhang +8

End-to-end AutoML has attracted intensive interests from both academia and industry, which automatically searches for ML pipelines in a space induced by feature engineering, algori…

cs.LG2021

Automated Graph Learning via Population Based Self-Tuning GCN

Ronghang Zhu, Zhiqiang Tao, Yaliang Li +1

Owing to the remarkable capability of extracting effective graph embeddings, graph convolutional network (GCN) and its variants have been successfully applied to a broad range of t…

cs.CL20212 cited

Differential Privacy for Text Analytics via Natural Text Sanitization

Xiang Yue, Minxin Du, Tianhao Wang +3

Texts convey sophisticated knowledge. However, texts also convey sensitive information. Despite the success of general-purpose language models and domain-specific mechanisms with d…

cs.IR20211 cited

Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning

Yang Deng, Yaliang Li, Fei Sun +2

Conversational recommender systems (CRS) enable the traditional recommender systems to explicitly acquire user preferences towards items and attributes through interactive conversa…