activity
20162026
most citedLabel Information Enhanced Fraud Detection against Low Homophily in Graphs

48 citations · 168 across the 20 of their papers we have counts for

collaborators

22 papers

cs.CL2026

Kimi K3: Open Frontier Intelligence

Kimi Team, Tongtong Bai, Yifan Bai +398

We introduce Kimi K3, a 2.8T parameter Mixture-of-Experts model with 104 billion activated parameters, native vision capabilities, and a 1-million-token context window. Kimi K3 is…

cs.CL2025

MatryoshkaThinking: Recursive Test-Time Scaling Enables Efficient Reasoning

Hongwei Chen, Yishu Lei, Dan Zhang +10

Test-time scaling has emerged as a promising paradigm in language modeling, wherein additional computational resources are allocated during inference to enhance model performance.…

cs.IR2024

HGAMN: Heterogeneous Graph Attention Matching Network for Multilingual POI Retrieval at Baidu Maps

Jizhou Huang, Haifeng Wang, Yibo Sun +4

The increasing interest in international travel has raised the demand of retrieving point of interests in multiple languages. This is even superior to find local venues such as res…

cs.LG2023★ 1 cited

Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials

Mingguo He, Zhewei Wei, Shikun Feng +4

Heterogeneous Graph Neural Networks (HGNNs) have gained significant popularity in various heterogeneous graph learning tasks. However, most existing HGNNs rely on spatial domain-ba…

cs.AI2023★ 48 cited

Label Information Enhanced Fraud Detection against Low Homophily in Graphs

Yuchen Wang, Jinghui Zhang, Zhengjie Huang +9

Node classification is a substantial problem in graph-based fraud detection. Many existing works adopt Graph Neural Networks (GNNs) to enhance fraud detectors. While promising, cur…

cs.IR2023

Layout-aware Webpage Quality Assessment

Anfeng Cheng, Yiding Liu, Weibin Li +6

Identifying high-quality webpages is fundamental for real-world search engines, which can fulfil users' information need with the less cognitive burden. Early studies of \emph{webp…