Jiaquan Zhang

Orcid: 0000-0001-9179-9425

According to our database1, Jiaquan Zhang authored at least 33 papers between 2016 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Autoregression-Free Neural Operators for Time-Dependent PDEs.
CoRR, May, 2026

From Similarity to Structure: Training-free LLM Context Compression with Hybrid Graph Priors.
CoRR, April, 2026

CAP-CoT: Cycle Adversarial Prompt for Improving Chain of Thoughts in LLM Reasoning.
CoRR, April, 2026

Small Language Model Helps Resolve Semantic Ambiguity of LLM Prompt.
CoRR, April, 2026

Agent-GWO: Collaborative Agents for Dynamic Prompt Optimization in Large Language Models.
CoRR, April, 2026

Weak-Link Optimization for Multi-Agent Reasoning and Collaboration.
CoRR, April, 2026

Hidden in Plain Sight: Visual-to-Symbolic Analytical Solution Inference from Field Visualizations.
CoRR, April, 2026

Bias Redistribution in Visual Machine Unlearning: Does Forgetting One Group Harm Another?
CoRR, April, 2026

TDA-RC: Task-Driven Alignment for Knowledge-Based Reasoning Chains in Large Language Models.
CoRR, April, 2026

Efficient and Interpretable Multi-Agent LLM Routing via Ant Colony Optimization.
CoRR, March, 2026

AI-for-Science Low-code Platform with Bayesian Adversarial Multi-Agent Framework.
CoRR, March, 2026

Optimizing Soft Prompt Tuning via Structural Evolution.
CoRR, February, 2026

Geometric Neural Operators via Lie Group-Constrained Latent Dynamics.
CoRR, February, 2026

Rethinking Input Domains in Physics-Informed Neural Networks via Geometric Compactification Mappings.
CoRR, February, 2026

Text summarization via global structure awareness.
CoRR, February, 2026

Learning Global Hypothesis Space for Enhancing Synergistic Reasoning Chain.
CoRR, February, 2026

LLaVA-FA: Learning Fourier Approximation for Compressing Large Multimodal Models.
CoRR, February, 2026

Lightweight LLM Agent Memory with Small Language Models.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Topological Federated Clustering via Gravitational Potential Fields Under Local Differential Privacy.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Fast SAM2 with Text-Driven Token Pruning.
CoRR, December, 2025

Understanding Chain-of-Thought in Large Language Models via Topological Data Analysis.
CoRR, December, 2025

Syzygy of Thoughts: Improving LLM CoT with the Minimal Free Resolution.
CoRR, April, 2025

2024
Alleviating educational inequality in math with the aid of online shadow education- the impact of equal access and equal quality mechanisms.
Educ. Inf. Technol., June, 2024

Separation Is for Better Reunion: Data Lake Storage at Huawei.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

SSCPDT: A Secure Decision Tree Classification Scheme for Telemedicine Diagnosis.
Proceedings of the 17th International Congress on Image and Signal Processing, 2024

Improved YOLOv8n Model Applied in Defect Detection for Transmission Line Insulators.
Proceedings of the 17th International Congress on Image and Signal Processing, 2024

Federated Deep Learning Multiple Households Energy Consumption Forecasting Considering Data Privacy-Preserving.
Proceedings of the 17th International Congress on Image and Signal Processing, 2024

2022
CPFinder: Finding an unknown caller's profession from anonymized mobile phone data.
Digit. Commun. Networks, 2022

Self-adaptive Multi-scale Aggregation Network for Stereo Matching.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

2021
User identification and community exploration via mining big personal data in online platforms.
PhD thesis, 2021

A Data-Driven Analysis of K-12 Students' Participation and Learning Performance on an Online Supplementary Learning Platform.
Proceedings of the 30th International Conference on Computer Communications and Networks, 2021

2020
Identifying unfamiliar callers' professions from privacy-preserving mobile phone data.
Proceedings of the 16th International Conference on Mobility, Sensing and Networking, 2020

2016
Resilience of epidemics on networks.
CoRR, 2016


  Loading...