activity
20092022
most citedOptimization and Analysis of Distributed Averaging with Short Node Memory

113 citations · 598 across the 33 of their papers we have counts for

collaborators

38 papers

cs.LG2022

Multi-relation Message Passing for Multi-label Text Classification

Muberra Ozmen, Hao Zhang, Pengyun Wang +1

A well-known challenge associated with the multi-label classification problem is modelling dependencies between labels. Most attempts at modelling label dependencies focus on co-oc…

eess.IV2022

Spectral image clustering on dual-energy CT scans using functional regression mixtures

Segolene Brivet, Faicel Chamroukhi, Mark Coates +2

Dual-energy computed tomography (DECT) is an advanced CT scanning technique enabling material characterization not possible with conventional CT scans. It allows the reconstruction…

cs.LG2021

Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction

Amur Ghose, Vincent Zhang, Yingxue Zhang +3

Presently with technology node scaling, an accurate prediction model at early design stages can significantly reduce the design cycle. Especially during logic synthesis, predicting…

stat.ML2021★ 3 cited

RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting

Soumyasundar Pal, Liheng Ma, Yingxue Zhang +1

Spatio-temporal forecasting has numerous applications in analyzing wireless, traffic, and financial networks. Many classical statistical models often fall short in handling the com…

cs.AI2021★ 1 cited

TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion

Jiapeng Wu, Yishi Xu, Yingxue Zhang +3

Reasoning in a temporal knowledge graph (TKG) is a critical task for information retrieval and semantic search. It is particularly challenging when the TKG is updated frequently. T…

cs.IR2021★ 2 cited

Knowledge-Enhanced Top-K Recommendation in Poincaré Ball

Chen Ma, Liheng Ma, Yingxue Zhang +3

Personalized recommender systems are increasingly important as more content and services become available and users struggle to identify what might interest them. Thanks to the abi…