62 citations · 63 across the 7 of their papers we have counts for
7 papers
Semi-Supervised Text-Attributed Graph Distillation
Yurui Lai, Samir Moustafa, Renchi Yang +1
{\em Text-Attributed Graphs} (TAGs) have emerged as an expressive data model for integrating graph topology with rich textual semantics. Existing representation learning methods ov…
CAPER: Clause-Aligned Process Supervision for Text-to-SQL
Lujie Ban, Jiasheng Shi, Jinyang Li +3
Text-to-SQL systems are typically evaluated by query-level execution correctness, but this terminal signal provides little guidance about which intermediate SQL decision caused suc…
Understanding and Guiding Layer Placement in Parameter-Efficient Fine-Tuning of Large Language Models
Yichen Xu, Yuyang Liang, Shan Dai +3
As large language models (LLMs) continue to grow, the cost of full-parameter fine-tuning has made parameter-efficient fine-tuning (PEFT) the default strategy for downstream adaptat…
Rethinking Semi-Supervised Node Classification with Self-Supervised Graph Clustering
Songbo Wang, Renchi Yang, Yurui Lai +2
The emergence of graph neural networks (GNNs) has offered a powerful tool for semi-supervised node classification tasks. Subsequent studies have achieved further improvements throu…
Effective Clustering on Large Attributed Bipartite Graphs
Renchi Yang, Yidu Wu, Xiaoyang Lin +3
Attributed bipartite graphs (ABGs) are an expressive data model for describing the interactions between two sets of heterogeneous nodes that are associated with rich attributes, su…
Attention-Guided Progressive Neural Texture Fusion for High Dynamic Range Image Restoration
Jie Chen, Zaifeng Yang, Tsz Nam Chan +3
High Dynamic Range (HDR) imaging via multi-exposure fusion is an important task for most modern imaging platforms. In spite of recent developments in both hardware and algorithm in…
PolyFit: Polynomial-based Indexing Approach for Fast Approximate Range Aggregate Queries
Zhe Li, Tsz Nam Chan, Man Lung Yiu +1
Range aggregate queries find frequent application in data analytics. In some use cases, approximate results are preferred over accurate results if they can be computed rapidly and…