most citedFIGRET: Fine-Grained Robustness-Enhanced Traffic Engineering

36 citations · 62 across the 6 of their papers we have counts for

collaborators

6 papers

cs.IR2026

GRAND-HC: Graph-Refined Author Name Disambiguation

Yuanhao Sun, Zhouyang Jin, Yi Xu +5

From-Scratch Name Disambiguation (SND) groups papers sharing an ambiguous name into clusters of distinct real-world authors. Existing methods suffer from two critical limitations:…

cs.CV2026

HAP: Head-Adaptive Visual Token Pruning via Cross-Modal Alignment

Yuanhao Sun, Huawei Ji, Yuan Jin +3

Recent Vision-Language Models encode high-resolution images into long visual token sequences, incurring prohibitive prefill costs. To compress them, existing methods score each vis…

cs.CV2026

ENCORE: Entropy-Guided Cropping and Attention Regularization for Robust Vision--Language Understanding

Yuanhao Sun, Huawei Ji, Jiaxin Ding +2

Vision-Language Models (VLMs) perform well on diverse vision-language tasks, but transformer-based visual encoders split images into fixed-resolution sub-images, compromising objec…

cs.CR2024★ 2 cited

Curator Attack: When Blackbox Differential Privacy Auditing Loses Its Power

Shiming Wang, Liyao Xiang, Bowei Cheng +3

A surge in data-driven applications enhances everyday life but also raises serious concerns about private information leakage. Hence many privacy auditing tools are emerging for ch…

cs.NI2024★ 36 cited

FIGRET: Fine-Grained Robustness-Enhanced Traffic Engineering

Ximeng Liu, Shizhen Zhao, Yong Cui +1

Traffic Engineering (TE) is critical for improving network performance and reliability. A key challenge in TE is the management of sudden traffic bursts. Existing TE schemes either…

cs.CV2024★ 24 cited

PNAS-MOT: Multi-Modal Object Tracking with Pareto Neural Architecture Search

Chensheng Peng, Zhaoyu Zeng, Jinling Gao +5

Multiple object tracking is a critical task in autonomous driving. Existing works primarily focus on the heuristic design of neural networks to obtain high accuracy. As tracking ac…