output
20182026
most citedObservation of ballistic avalanche phenomena in nanoscale vertical InSe/BP heterostructures

230 citations

31 papers

cs.CL2026

TEAMMix: Taxonomy Enrichment Augmentation and Minority-augmented Mixing Strategy for LLM-enhanced Weak-Supervised Hierarchical Text Classification

Jian Zhang, Zhuohao Yang, Songlin Lei +6

Hierarchical Text Classification (HTC), as a critical text mining task, faces challenges such as complex label hierarchies and class imbalance. Existing methods based on large lang…

cs.IR2026

Self-Knowledge Retrieval Augmented Generation Framework for Patent Matching

Jian Zhang, Songlin Lei, Zhuohao Yang +6

Patent retrieval and matching based on large language models (LLMs) play a vital role in intellectual property protection. However, due to the complex structure of patent documents…

cs.CR2025

Correlated-Sequence Differential Privacy

Yifan Luo, Meng Zhang, Jin Xu +2

Data streams collected from multiple sources are rarely independent. Values evolve over time and influence one another across sequences. These correlations improve prediction in he…

cs.CV2025

UniSVG: A Unified Dataset for Vector Graphic Understanding and Generation with Multimodal Large Language Models

Jinke Li, Jiarui Yu, Chenxing Wei +5

Unlike bitmap images, scalable vector graphics (SVG) maintain quality when scaled, frequently employed in computer vision and artistic design in the representation of SVG code. In…

cond-mat.mtrl-sci2025★ 15 cited

Probing orbital magnetism of a kagome metal CsV3Sb5 by a tuning fork resonator

Hengrui Gui, Lin Yang, Xiaoyu Wang +13

The recently discovered kagome metal CsVSb exhibits a complex phase diagram that encompasses frustrated magnetism, topological charge density wave (CDW), and superconductiv…

cs.LG2025★ 19 cited

MoGERNN: An Inductive Traffic Predictor for Unobserved Locations

Qishen Zhou, Yifan Zhang, Michail A. Makridis +3

Given a partially observed road network, how can we predict the traffic state of interested unobserved locations? Traffic prediction is crucial for advanced traffic management syst…