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20212025
most citedBeyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

40 citations · 126 across the 23 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.LG2023

POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning

Junxiang Wang, Guangji Bai, Wei Cheng +3

Time series domain adaptation stands as a pivotal and intricate challenge with diverse applications, including but not limited to human activity recognition, sleep stage classifica…

cs.LG2023★ 3 cited

Saliency-Guided Hidden Associative Replay for Continual Learning

Guangji Bai, Qilong Zhao, Xiaoyang Jiang +2

Continual Learning is a burgeoning domain in next-generation AI, focusing on training neural networks over a sequence of tasks akin to human learning. While CL provides an edge ove…

cs.CV2023★ 8 cited

Saliency-Bench: A Comprehensive Benchmark for Evaluating Visual Explanations

Yifei Zhang, James Song, Siyi Gu +4

Explainable AI (XAI) has gained significant attention for providing insights into the decision-making processes of deep learning models, particularly for image classification tasks…

cs.CV2023★ 16 cited

Visual Attention Prompted Prediction and Learning

Yifei Zhang, Siyi Gu, Bo Pan +4

Visual explanation (attention)-guided learning uses not only labels but also explanations to guide model reasoning process. While visual attention-guided learning has shown promisi…

cs.LG2023

Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction

Guangji Bai, Ziyang Yu, Zheng Chai +2

Despite the recent success of Graph Neural Networks (GNNs), it remains challenging to train GNNs on large-scale graphs due to neighbor explosions. As a remedy, distributed computin…

cs.LG2023★ 1 cited

Domain Generalization Deep Graph Transformation

Shiyu Wang, Guangji Bai, Qingyang Zhu +2

Graph transformation that predicts graph transition from one mode to another is an important and common problem. Despite much progress in developing advanced graph transformation t…

cs.AI2023★ 7 cited

Knowledge-enhanced Neural Machine Reasoning: A Review

Tanmoy Chowdhury, Chen Ling, Xuchao Zhang +5

Knowledge-enhanced neural machine reasoning has garnered significant attention as a cutting-edge yet challenging research area with numerous practical applications. Over the past f…