activity
20202023
most citedLargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting

22 citations · 65 across the 14 of their papers we have counts for

collaborators

15 papers

cs.CL2023

Primacy Effect of ChatGPT

Yiwei Wang, Yujun Cai, Muhao Chen +2

Instruction-tuned large language models (LLMs), such as ChatGPT, have led to promising zero-shot performance in discriminative natural language understanding (NLU) tasks. This invo…

cs.LG2023★ 22 cited

LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting

Xu Liu, Yutong Xia, Yuxuan Liang +7

Road traffic forecasting plays a critical role in smart city initiatives and has experienced significant advancements thanks to the power of deep learning in capturing non-linear p…

cs.CL2023

How Fragile is Relation Extraction under Entity Replacements?

Yiwei Wang, Bryan Hooi, Fei Wang +6

Relation extraction (RE) aims to extract the relations between entity names from the textual context. In principle, textual context determines the ground-truth relation and the RE…

eess.SP2022★ 3 cited

AirFormer: Predicting Nationwide Air Quality in China with Transformers

Yuxuan Liang, Yutong Xia, Songyu Ke +5

Air pollution is a crucial issue affecting human health and livelihoods, as well as one of the barriers to economic and social growth. Forecasting air quality has become an increas…

cs.SI2022★ 1 cited

Flashlight: Scalable Link Prediction with Effective Decoders

Yiwei Wang, Bryan Hooi, Yozen Liu +3

Link prediction (LP) has been recognized as an important task in graph learning with its broad practical applications. A typical application of LP is to retrieve the top scoring ne…

cs.CL2022★ 1 cited

GRAPHCACHE: Message Passing as Caching for Sentence-Level Relation Extraction

Yiwei Wang, Muhao Chen, Wenxuan Zhou +3

Entity types and textual context are essential properties for sentence-level relation extraction (RE). Existing work only encodes these properties within individual instances, whic…