activity
20192026
most citedPICO: Pipeline Inference Framework for Versatile CNNs on Diverse Mobile Devices

16 citations · 39 across the 22 of their papers we have counts for

collaborators
Showing 2024Show all

7 papers · 1 filter

cs.CL2024

ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data

Chengsen Wang, Qi Qi, Jingyu Wang +5

Human experts typically integrate numerical and textual multimodal information to analyze time series. However, most traditional deep learning predictors rely solely on unimodal nu…

cs.LG2024★ 1 cited

Interdependency Matters: Graph Alignment for Multivariate Time Series Anomaly Detection

Yuanyi Wang, Haifeng Sun, Chengsen Wang +6

Anomaly detection in multivariate time series (MTS) is crucial for various applications in data mining and industry. Current industrial methods typically approach anomaly detection…

cs.LG2024★ 1 cited

Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective

Chengsen Wang, Qi Qi, Jingyu Wang +4

Time series forecasting has played a pivotal role across various industries, including finance, transportation, energy, healthcare, and climate. Due to the abundant seasonal inform…

cs.CL2024

OutlierTune: Efficient Channel-Wise Quantization for Large Language Models

Jinguang Wang, Yuexi Yin, Haifeng Sun +5

Quantizing the activations of large language models (LLMs) has been a significant challenge due to the presence of structured outliers. Most existing methods focus on the per-token…

cs.IR2024

Understanding and Guiding Weakly Supervised Entity Alignment with Potential Isomorphism Propagation

Yuanyi Wang, Wei Tang, Haifeng Sun +5

Weakly Supervised Entity Alignment (EA) is the task of identifying equivalent entities across diverse knowledge graphs (KGs) using only a limited number of seed alignments. Despite…

cs.IR2024

Towards Semantic Consistency: Dirichlet Energy Driven Robust Multi-Modal Entity Alignment

Yuanyi Wang, Haifeng Sun, Jiabo Wang +5

In Multi-Modal Knowledge Graphs (MMKGs), Multi-Modal Entity Alignment (MMEA) is crucial for identifying identical entities across diverse modal attributes. However, semantic incons…

cs.IR2024★ 1 cited

Gradient Flow of Energy: A General and Efficient Approach for Entity Alignment Decoding

Yuanyi Wang, Haifeng Sun, Jingyu Wang +3

Entity alignment (EA), a pivotal process in integrating multi-source Knowledge Graphs (KGs), seeks to identify equivalent entity pairs across these graphs. Most existing approaches…