Skip to content
Log in
Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

Author

Jingjing Li

h-index 26 View on Semantic Scholar

We have 5 of 88 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Sep 2026

Do More With Less: Capacity-Aware Selective Hashing for Continual Cross-Modal Retrieval.

Although cross-modal hashing enables efficient large-scale retrieval by encoding multimodal data into compact binary representations, its fixed code length and binary nature impose a fundamental capacity constraint that hinders continual adaptation to growing data streams and emerging semantic concepts. Existing contin...

Wen-Hao Liu, Tian-Shi Wang, Feng-Ling Li et al. · 0 citations
Nov 2026

CFANet: Channel-Frequency Adaptive Network for Long-Term Time Series Forecasting

Frequency domain modeling methods have emerged as a promising research direction for long-term series forecasting, owing to their natural advantages in capturing global dependencies and reducing computational complexity. However, existing methods overlook the heterogeneity and dynamic characteristics of frequency prope...

Xu Luo, Xin-Zheng Niu, Hao-Lin Wang et al. · 0 citations
2026

Trustworthy and Temporally Robust Web Attack Detection for Autonomous Edge Network Security

Trustworthy security at the network edge demands fine-grained and temporally robust web attack detection to support autonomous threat response under the latency and communication constraints of distributed networked systems. Existing data-driven methods fail to deliver high-performance attack type classification as the...

Jin-Cheng Deng, Bin-Rang Liu, Zhi-Fei Liao et al. · 0 citations
Aug 2026

Triplet Decomposition and Extensions: A General Framework for Parameter-Efficient Fine-Tuning.

This work unify these approaches under a Triplet Matrix Decomposition framework and reveals that frequency-domain methods can surpass low-rank approaches when optimal frequency components are selected, and this advantage stems from orthogonal transformation matrices and flexible basis vector combinations.

Zhekai Du, Yinjie Min, Dan Zhang et al. · 0 citations
Open access Jul 2026

Learning ordinality-aware multimodal representations for composite materials design

This work builds ORDER, a multimodal framework linking microstructures and descriptors with preserved property trends, aiding prediction, retrieval, and microstructure generation and consistently outperforms alignment-oriented and property-aware baselines across property prediction, cross-modal retrieval, and microstru...

Xinyao Li, Hangwei Qian, Jingjing Li et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.