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20212024
most citedSelf-supervised Heterogeneous Graph Pre-training Based on Structural Clustering

24 citations · 27 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2024

SC2: Towards Enhancing Content Preservation and Style Consistency in Long Text Style Transfer

Jie Zhao, Ziyu Guan, Cai Xu +2

Text style transfer (TST) aims to vary the style polarity of text while preserving the semantic content. Although recent advancements have demonstrated remarkable progress in short…

cs.IR2024

TruthSR: Trustworthy Sequential Recommender Systems via User-generated Multimodal Content

Meng Yan, Haibin Huang, Ying Liu +5

Sequential recommender systems explore users' preferences and behavioral patterns from their historically generated data. Recently, researchers aim to improve sequential recommenda…

cs.LG2024★ 1 cited

Trusted Multi-view Learning under Noisy Supervision

Yilin Zhang, Cai Xu, Han Jiang +4

Multi-view learning methods often focus on improving decision accuracy while neglecting the decision uncertainty, which significantly restricts their applications in safety-critica…

cs.LG2024★ 2 cited

Reliable Conflictive Multi-View Learning

Cai Xu, Jiajun Si, Ziyu Guan +3

Multi-view learning aims to combine multiple features to achieve more comprehensive descriptions of data. Most previous works assume that multiple views are strictly aligned. Howev…

cs.CV2023

M3SOT: Multi-frame, Multi-field, Multi-space 3D Single Object Tracking

Jiaming Liu, Yue Wu, Maoguo Gong +3

3D Single Object Tracking (SOT) stands a forefront task of computer vision, proving essential for applications like autonomous driving. Sparse and occluded data in scene point clou…

cs.LG2022★ 24 cited

Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering

Yaming Yang, Ziyu Guan, Zhe Wang +4

Recent self-supervised pre-training methods on Heterogeneous Information Networks (HINs) have shown promising competitiveness over traditional semi-supervised Heterogeneous Graph N…

cs.AI2021

Multi-Agent Cooperative Bidding Games for Multi-Objective Optimization in e-Commercial Sponsored Search

Ziyu Guan, Hongchang Wu, Qingyu Cao +7

Bid optimization for online advertising from single advertiser's perspective has been thoroughly investigated in both academic research and industrial practice. However, existing w…