Chong Zhang

Orcid: 0009-0003-2020-6989

Affiliations:

University of Liverpool, School of Advanced Technology, Liverpool, UK
Xi'an Jiaotong-Liverpool University, School of Advanced Technology, Suzhou, China

According to our database¹, Chong Zhang authored at least 25 papers between 2023 and 2025.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

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Bibliography

2025

AttackEval: How to Evaluate the Effectiveness of Jailbreak Attacking on Large Language Models.

[BibT_eX]

[DOI]

SIGKDD Explor., June, 2025

Semantic-Preserving Adversarial Attacks on LLMs: An Adaptive Greedy Binary Search Approach.

[BibT_eX]

[DOI]

CoRR, June, 2025

Efficient and Stealthy Jailbreak Attacks via Adversarial Prompt Distillation from LLMs to SLMs.

[BibT_eX]

[DOI]

CoRR, June, 2025

Two-stage effective attentional generative adversarial network.

[BibT_eX]

[DOI]

Appl. Intell., June, 2025

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions.

[BibT_eX]

[DOI]

CoRR, May, 2025

Toward Equitable Access: Leveraging Crowdsourced Reviews to Investigate Public Perceptions of Health Resource Accessibility.

[BibT_eX]

[DOI]

CoRR, February, 2025

MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities.

[BibT_eX]

[DOI]

SIGKDD Explor., December, 2024

When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments.

[BibT_eX]

[DOI]

CoRR, 2024

Counterfactual Explainable Incremental Prompt Attack Analysis on Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Multi-task Prompt Words Learning for Social Media Content Generation.

[BibT_eX]

[DOI]

CoRR, 2024

Better Sampling, towards Better End-to-end Small Object Detection.

[BibT_eX]

[DOI]

CoRR, 2024

Knowledge Graph Large Language Model (KG-LLM) for Link Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities.

[BibT_eX]

[DOI]

CoRR, 2024

Health-LLM: Personalized Retrieval-Augmented Disease Prediction System.

[BibT_eX]

[DOI]

CoRR, 2024

AttackEval: How to Evaluate the Effectiveness of Jailbreak Attacking on Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Multi-task Prompt Words Learning for Social Media Content Generation.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

Goal-Guided Generative Prompt Injection Attack on Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2024

Target-driven Attack for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Knowledge Graph Large Language Model (KG-LLM) for Link Prediction.

[BibT_eX]

[DOI]

Proceedings of the Asian Conference on Machine Learning, 2024

Bridging the Projection Gap: Overcoming Projection Bias Through Parameterized Distance Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2024, 2024

2023

Metric Learning for Projections Bias of Generalized Zero-shot Learning.

[BibT_eX]

[DOI]

CoRR, 2023

A Simple and Effective Baseline for Attentional Generative Adversarial Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Automatic Image Blending Algorithm Based on SAM and DINO.

[BibT_eX]

[DOI]

CoRR, 2023

Image Blending Algorithm with Automatic Mask Generation.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Chong Zhang

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