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Gang Zhou
Institution:
PLA Information Engineering University
Observed institution:
PLA Information Engineering University
ORCID:
0009-0007-4180-0986
Observed ORCID:
0009-0007-4180-0986
OpenAlex ID:
A5140944347
Adaptive multi-format synergistic table understanding framework for large language models
2026
·
Fengjuan Zhang
, Gang Zhou
, et al.
·
Journal of King Saud University - Computer and Information Sciences
PDF
SynAlign: cross-curvature synergistic Euclidean–hyperbolic entity alignment for knowledge graphs
2026
·
Teng Fu
, Gang Zhou
, et al.
·
Journal of King Saud University - Computer and Information Sciences
PDF
Exploration-and-Thinking: Agentic Reasoning over Knowledge Graphs via an LLM-RL Synergized Framework
2026
·
Yi Xia
, Gang Zhou
, et al.
·
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Outlier-Aware and Task-Oriented Quantization-Based Low-Rank Adaptation of Large Language Models
2026
·
Chao Zhang
, Gang Zhou
, et al.
·
Lecture notes in computer science
Efficient multi-tenant LoRA serving via SGMV-specific operator autotuning
2026
·
Chao Zhang
, Gang Zhou
, et al.
·
Journal of King Saud University - Computer and Information Sciences
Visual Table Understanding: Methods, Challenges and Future Directions
2026
·
Fengjuan Zhang
, Zhufeng Li
, et al.
·
International Symposium on Computer Applications and Information Systems (ISCAIS)
Learnable Relational Knowledge Distillation For Language Model Compression
2026
·
Feng Hu
, Kai Zhang
, et al.
·
Lecture notes in computer science
SDIC: Distributed Image Compression with Structured Global Context Modeling
2026
·
Junwei Zhou
, JIAXIN LI
, et al.
·
SSRN Electronic Journal
TriRank: A Cognitive-Inspired Three-Layer Adaptive Reranking Framework
2025
·
Bo Wang
, Gang Zhou
, et al.
·
International Conference on Artificial Intelligence and Intelligent Information Processing (AIIIP)
DFV-RAG: Dual-Perspective Fast Verification for Retrieval-Augmented Generation
2025
·
Bo Wang
, Gang Zhou
, et al.
·
International Conference on Artificial Intelligence and Automation Control (AIAC)
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Works count:
10
Citation count:
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