activity
20172022
most citedEnhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting

1.1k citations · 1.4k across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2022★ 10 cited

Tensor Program Optimization with Probabilistic Programs

Junru Shao, Xiyou Zhou, Siyuan Feng +7

Automatic optimization for tensor programs becomes increasingly important as we deploy deep learning in various environments, and efficient optimization relies on a rich search spa…

cs.CL2020★ 4 cited

Logic2Text: High-Fidelity Natural Language Generation from Logical Forms

Zhiyu Chen, Wenhu Chen, Hanwen Zha +4

Previous works on Natural Language Generation (NLG) from structured data have primarily focused on surface-level descriptions of record sequences. However, for complex structured d…

cs.CL2020★ 15 cited

HULK: An Energy Efficiency Benchmark Platform for Responsible Natural Language Processing

Xiyou Zhou, Zhiyu Chen, Xiaoyong Jin +1

Computation-intensive pretrained models have been taking the lead of many natural language processing benchmarks such as GLUE. However, energy efficiency in the process of model tr…

cs.CL2019★ 238 cited

TabFact: A Large-scale Dataset for Table-based Fact Verification

Wenhu Chen, Hongmin Wang, Jianshu Chen +5

The problem of verifying whether a textual hypothesis holds based on the given evidence, also known as fact verification, plays an important role in the study of natural language u…

cs.LG2019★ 1.1k cited

Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting

Shiyang Li, Xiaoyong Jin, Yao Xuan +4

Time series forecasting is an important problem across many domains, including predictions of solar plant energy output, electricity consumption, and traffic jam situation. In this…

cs.CL2017

Verb Pattern: A Probabilistic Semantic Representation on Verbs

Wanyun Cui, Xiyou Zhou, Hangyu Lin +4

Verbs are important in semantic understanding of natural language. Traditional verb representations, such as FrameNet, PropBank, VerbNet, focus on verbs' roles. These roles are too…