Haicang Zhou — accepted AI-conference papers

2024

Road Network Representation Learning with the Third Law of Geography

Haicang Zhou, Weiming Huang, Yile Chen, Tiantian He, Gao Cong, Yew-Soon Ong

NeurIPS 2024poster

Road network representation learning aims to learn compressed and effective vectorized representations for road segments that are applicable to numerous tasks. In this paper, we identify the limitations of existing methods, particularly their overemphasis on the distance effect as outlined in the Fi…

Cited by 5 Source ↗PDF ↗Scholar ↗

2022

HiTKG: Towards Goal-Oriented Conversations via Multi-Hierarchy Learning

Jinjie Ni, Vlad Pandelea, Tom Young, Haicang Zhou, Erik Cambria

AAAI 2022technical

Human conversations are guided by short-term and long-term goals. We study how to plan short-term goal sequences as coherently as humans do and naturally direct them to an assigned long-term goal in open-domain conversations. Goal sequences are a series of knowledge graph (KG) entity-relation connec…

Cited by 34 Source ↗PDF ↗Scholar ↗