Image Blending Algorithm with Automatic Mask Generation. - Haochen Xue; Mingyu Jin; Chong Zhang 006; Yuxuan Huang; Qian Weng; Xiaobo Jin (ICONIP (8), 2023)

Automatic Image Blending Algorithm Based on SAM and DINO. - Haochen Xue; Mingyu Jin; Chong Zhang 006; Yuxuan Huang; Qian Weng; Xiaobo Jin (CoRR, 2023)

A Simple and Effective Baseline for Attentional Generative Adversarial Networks. - Mingyu Jin; Chong Zhang 006; Qinkai Yu; Haochen Xue; Xiaobo Jin; Xi Yang (CoRR, 2023)

Metric Learning for Projections Bias of Generalized Zero-shot Learning. - Chong Zhang 006; Mingyu Jin; Qinkai Yu; Haochen Xue; Xiaobo Jin (CoRR, 2023)

Bridging the Projection Gap: Overcoming Projection Bias Through Parameterized Distance Learning. - Chong Zhang 006; Mingyu Jin; Qinkai Yu; Haochen Xue; Shreyank N. Gowda; Xiaobo Jin (ACCV (8), 2024)

Knowledge Graph Large Language Model (KG-LLM) for Link Prediction. - Dong Shu; Tianle Chen; Mingyu Jin; Chong Zhang 006; Mengnan Du; Yongfeng Zhang (ACML, 2024)

Target-driven Attack for Large Language Models. - Chong Zhang 006; Mingyu Jin; Dong Shu; Taowen Wang; Dongfang Liu; Xiaobo Jin (ECAI, 2024)

Goal-Guided Generative Prompt Injection Attack on Large Language Models. - Chong Zhang 006; Mingyu Jin; Qinkai Yu; Chengzhi Liu; Haochen Xue; Xiaobo Jin (ICDM, 2024)

Multi-task Prompt Words Learning for Social Media Content Generation. - Haochen Xue; Chong Zhang 006; Chenzhi Liu; Fangyu Wu 001; Xiaobo Jin (IJCNN, 2024)

AttackEval: How to Evaluate the Effectiveness of Jailbreak Attacking on Large Language Models. - Dong Shu; Mingyu Jin; Suiyuan Zhu; Beichen Wang; Zihao Zhou; Chong Zhang 006; Yongfeng Zhang (CoRR, 2024)

Health-LLM: Personalized Retrieval-Augmented Disease Prediction System. - Mingyu Jin; Qinkai Yu; Dong Shu; Chong Zhang 006; Lizhou Fan; Wenyue Hua; Suiyuan Zhu; Yanda Meng; Zhenting Wang; Mengnan Du; Yongfeng Zhang; Yanda Meng (CoRR, 2024)

Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities. - Mingyu Jin; Hua Tang; Chong Zhang 006; Qinkai Yu; Chengzhi Liu; Suiyuan Zhu; Yongfeng Zhang; Mengnan Du (CoRR, 2024)

Knowledge Graph Large Language Model (KG-LLM) for Link Prediction. - Dong Shu; Tianle Chen; Mingyu Jin; Yiting Zhang; Chong Zhang 006; Mengnan Du; Yongfeng Zhang (CoRR, 2024)

Better Sampling, towards Better End-to-end Small Object Detection. - Zile Huang; Chong Zhang 006; Mingyu Jin; Fangyu Wu 001; Chengzhi Liu; Xiaobo Jin (CoRR, 2024)

Multi-task Prompt Words Learning for Social Media Content Generation. - Haochen Xue; Chong Zhang 006; Chengzhi Liu; Fangyu Wu 001; Xiaobo Jin (CoRR, 2024)

Counterfactual Explainable Incremental Prompt Attack Analysis on Large Language Models. - Dong Shu; Mingyu Jin; Tianle Chen; Chong Zhang 006; Yongfeng Zhang (CoRR, 2024)

When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments. - Chong Zhang 006; Xinyi Liu; Mingyu Jin; Zhongmou Zhang; Lingyao Li; Zhenting Wang; Wenyue Hua; Dong Shu; Suiyuan Zhu; Xiaobo Jin; Sujian Li; Mengnan Du; et al. (CoRR, 2024)

Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities. - Hua Tang; Chong Zhang 006; Mingyu Jin; Qinkai Yu; Zhenting Wang; Xiaobo Jin; Yongfeng Zhang; Mengnan Du (SIGKDD Explor., 2024)

MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation. - Haochen Xue; Feilong Tang; Ming Hu; Yexin Liu; Qidong Huang; Yulong Li; Chengzhi Liu; Zhongxing Xu; Chong Zhang 006; Chun-Mei Feng; Yutong Xie 001; Imran Razzak; et al. (ACL (1), 2025)

Toward Equitable Access: Leveraging Crowdsourced Reviews to Investigate Public Perceptions of Health Resource Accessibility. - Zhaoqian Xue; Guanhong Liu; Kai Wei; Chong Zhang 006; Qingcheng Zeng; Songhua Hu; Wenyue Hua; Lizhou Fan; Yongfeng Zhang; Lingyao Li (CoRR, 2025)

LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions. - Haochen Xue; Chenghao Liu; Chong Zhang 006; Yuxuan Chen; Angxiao Zong; Zhaodong Wu; Yulong Li; Jiayi Liu; Kaiyu Liang; Zhixiang Lu; Ruobing Li; Jionglong Su (CoRR, 2025)

Two-stage effective attentional generative adversarial network. - Mingyu Jin; Qinkai Yu; Chong Zhang 006; Haochen Xue; Shuliang Zhao (Appl. Intell., 2025)

Efficient and Stealthy Jailbreak Attacks via Adversarial Prompt Distillation from LLMs to SLMs. - Xiang Li; Chong Zhang 006; Jia Wang; Fangyu Wu 001; Yushi Li; Xiaobo Jin (CoRR, 2025)

Semantic-Preserving Adversarial Attacks on LLMs: An Adaptive Greedy Binary Search Approach. - Chong Zhang 006; Xiang Li; Jia Wang; Shan Liang; Haochen Xue; Xiaobo Jin (CoRR, 2025)

AttackEval: How to Evaluate the Effectiveness of Jailbreak Attacking on Large Language Models. - Dong Shu; Chong Zhang 006; Mingyu Jin; Zihao Zhou; Lingyao Li (SIGKDD Explor., 2025)