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20232026
most citedTUCKET: A Tensor Time Series Data Structure for Efficient and Accurate Factor Analysis over Time Ranges

4 citations · 11 across the 27 of their papers we have counts for

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cs.LG2026

ALERT: Zero-shot LLM Jailbreak Detection via Internal Discrepancy Amplification

Xiao Lin, Philip Li, Zhichen Zeng +6

Despite rich safety alignment strategies, large language models (LLMs) remain highly susceptible to jailbreak attacks, which compromise safety guardrails and pose serious security…

cs.LG2025

Geometric-disentangelment Unlearning

Duo Zhou, Yuji Zhang, Tianxin Wei +9

Large language models (LLMs) can internalize private or harmful content, motivating unlearning that removes a forget set while preserving retaining knowledge. However, forgetting u…

cs.LG2025

Hierarchical LoRA MoE for Efficient CTR Model Scaling

Zhichen Zeng, Mengyue Hang, Xiaolong Liu +11

Deep models have driven significant advances in click-through rate (CTR) prediction. While vertical scaling via layer stacking improves model expressiveness, the layer-by-layer seq…

cs.LG2025★ 2 cited

Flow Matching Meets Biology and Life Science: A Survey

Zihao Li, Zhichen Zeng, Xiao Lin +9

Over the past decade, advances in generative modeling, such as generative adversarial networks, masked autoencoders, and diffusion models, have significantly transformed biological…

cs.LG2025

Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting

Zhining Liu, Ze Yang, Xiao Lin +6

Time-series forecasting plays a critical role in many real-world applications. Although increasingly powerful models have been developed and achieved superior results on benchmark…

cs.LG2025

Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics

Zhichen Zeng, Ruizhong Qiu, Wenxuan Bao +6

Graph neural networks, despite their impressive performance, are highly vulnerable to distribution shifts on graphs. Existing graph domain adaptation (graph DA) methods often impli…