Chong Zhang

43 papers A* 3A 1B 1C 1Journal 30Unranked 7
YearRankTypeTitle / Venue / Authors
2026 A* conf
SAGE: Sustainable Agent-Guided Expert-tuning for Culturally Attuned Translation in Low-Resource Southeast Asia.
WWW
Zhixiang Lu, Chong Zhang, Yulong Li, Angelos Stefanidis, Anh Nguyen, Imran Razzak, Jionglong Su, Zhengyong Jiang
2026 J jnl
SAGE: Sustainable Agent-Guided Expert-tuning for Culturally Attuned Translation in Low-Resource Southeast Asia.
CoRR
Zhixiang Lu, Chong Zhang, Yulong Li, Angelos Stefanidis, Anh Nguyen, Imran Razzak, Jionglong Su, Zhengyong Jiang
2026 J jnl
SkinCLIP-VL: Consistency-Aware Vision-Language Learning for Multimodal Skin Cancer Diagnosis.
CoRR
Zhixiang Lu, Shijie Xu, Kaicheng Yan, Xuyue Cai, Chong Zhang, Yulong Li, Angelos Stefanidis, Anh Nguyen, Jionglong Su
2026 J jnl
StealthMark: Harmless and Stealthy Ownership Verification for Medical Segmentation via Uncertainty-Guided Backdoors.
CoRR
Qinkai Yu, Chong Zhang, Gaojie Jin, Tianjin Huang, Wei Zhou, Wenhui Li, Xiaobo Jin, Bo Huang, Yitian Zhao, Guang Yang, Gregory Yoke Hong Lip, Yalin Zheng, Aline Villavicencio, Yanda Meng
2026 J jnl
StealthMark: Harmless and Stealthy Ownership Verification for Medical Segmentation via Uncertainty-Guided Backdoors.
IEEE Trans. Image Process.
Qinkai Yu, Chong Zhang, Gaojie Jin, Tianjin Huang, Wei Zhou, Wenhui Li, Xiaobo Jin, Bo Huang, Yitian Zhao, Guang Yang, Gregory Yoke Hong Lip, Yalin Zheng, Aline Villavicencio, Yanda Meng
2025 J jnl
AttackEval: How to Evaluate the Effectiveness of Jailbreak Attacking on Large Language Models.
SIGKDD Explor.
Dong Shu, Chong Zhang, Mingyu Jin, Zihao Zhou, Lingyao Li
2025 A* conf
Customized Retrieval-Augmented Generation with LLM for Debiasing Recommendation Unlearning.
ICDM
Haichao Zhang, Chong Zhang, Peiyu Hu, Shi Qiu, Jia Wang
2025 J jnl
Customized Retrieval-Augmented Generation with LLM for Debiasing Recommendation Unlearning.
CoRR
Haichao Zhang, Chong Zhang, Peiyu Hu, Shi Qiu, Jia Wang
2025 — conf
Dual Prototype Attentive Graph Network for Cross-Market Recommendation.
ICONIP (5)
Li Fan, Menglin Kong, Xiang-Yang Li, Chong Zhang, Chengtao Ji
2025 J jnl
Dual prototype attentive graph network for cross-market recommendation.
CoRR
Li Fan, Menglin Kong, Xiang-Yang Li, Chong Zhang, Chengtao Ji
2025 J jnl
Efficient and Stealthy Jailbreak Attacks via Adversarial Prompt Distillation from LLMs to SLMs.
CoRR
Xiang Li, Chong Zhang, Jia Wang, Fangyu Wu, Yushi Li, Xiaobo Jin
2025 — conf
Invisible Prompts, Visible Threats: Malicious Font Injection in External Resources for Large Language Models.
EMNLP (Findings)
Junjie Xiong, Changjia Zhu, Shuhang Lin, Chong Zhang, Yongfeng Zhang, Yao Liu, Lingyao Li
2025 J jnl
Invisible Prompts, Visible Threats: Malicious Font Injection in External Resources for Large Language Models.
CoRR
Junjie Xiong, Changjia Zhu, Shuhang Lin, Chong Zhang, Yongfeng Zhang, Yao Liu, Lingyao Li
2025 J jnl
LLM-Enhanced Feature Engineering for Multi-Factor Electricity Price Predictions.
CoRR
Haochen Xue, Chenghao Liu, Chong Zhang, Yuxuan Chen, Angxiao Zong, Zhaodong Wu, Yulong Li, Jiayi Liu, Kaiyu Liang, Zhixiang Lu, Ruobing Li, Jionglong Su
2025 — conf
MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation.
ACL (1)
Haochen Xue, Feilong Tang, Ming Hu, Yexin Liu, Qidong Huang, Yulong Li, Chengzhi Liu, Zhongxing Xu, Chong Zhang, Chun-Mei Feng, Yutong Xie, Imran Razzak, Zongyuan Ge, Jionglong Su, Junjun He, Yu Qiao
2025 J jnl
MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation.
CoRR
Haochen Xue, Feilong Tang, Ming Hu, Yexin Liu, Qidong Huang, Yulong Li, Chengzhi Liu, Zhongxing Xu, Chong Zhang, Chun-Mei Feng, Yutong Xie, Imran Razzak, Zongyuan Ge, Jionglong Su, Junjun He, Yu Qiao
2025 — conf
Performance is not All You Need: Sustainability Considerations for Algorithms.
PRCV (12)
Xiang Li, Chong Zhang, Hongpeng Wang, Shreyank Narayana Gowda, Yushi Li, Xiaobo Jin
2025 J jnl
Performance is not All You Need: Sustainability Considerations for Algorithms.
CoRR
Xiang Li, Chong Zhang, Hongpeng Wang, Shreyank Narayana Gowda, Yushi Li, Xiaobo Jin
2025 J jnl
Semantic-Preserving Adversarial Attacks on LLMs: An Adaptive Greedy Binary Search Approach.
CoRR
Chong Zhang, Xiang Li, Jia Wang, Shan Liang, Haochen Xue, Xiaobo Jin
2025 J jnl
Toward Equitable Access: Leveraging Crowdsourced Reviews to Investigate Public Perceptions of Health Resource Accessibility.
CoRR
Zhaoqian Xue, Guanhong Liu, Kai Wei, Chong Zhang, Qingcheng Zeng, Songhua Hu, Wenyue Hua, Lizhou Fan, Yongfeng Zhang, Lingyao Li
2025 J jnl
Two-stage effective attentional generative adversarial network.
Appl. Intell.
Mingyu Jin, Qinkai Yu, Chong Zhang, Haochen Xue, Shuliang Zhao
2025 — conf
Uncertainty-Aware Semantic Decoding for LLM-Based Sequential Recommendation.
APWeb-WAIM (3)
Chenke Yin, Li Fan, Jia Wang, Dongxiao Hu, Haichao Zhang, Chong Zhang, Yang Xiang
2025 J jnl
Uncertainty-Aware Semantic Decoding for LLM-Based Sequential Recommendation.
CoRR
Chenke Yin, Li Fan, Jia Wang, Dongxiao Hu, Haichao Zhang, Chong Zhang, Yang Xiang
2024 J jnl
AttackEval: How to Evaluate the Effectiveness of Jailbreak Attacking on Large Language Models.
CoRR
Dong Shu, Mingyu Jin, Suiyuan Zhu, Beichen Wang, Zihao Zhou, Chong Zhang, Yongfeng Zhang
2024 J jnl
Better Sampling, towards Better End-to-end Small Object Detection.
CoRR
Zile Huang, Chong Zhang, Mingyu Jin, Fangyu Wu, Chengzhi Liu, Xiaobo Jin
2024 — conf
Bridging the Projection Gap: Overcoming Projection Bias Through Parameterized Distance Learning.
ACCV (8)
Chong Zhang, Mingyu Jin, Qinkai Yu, Haochen Xue, Shreyank N. Gowda, Xiaobo Jin
2024 J jnl
Counterfactual Explainable Incremental Prompt Attack Analysis on Large Language Models.
CoRR
Dong Shu, Mingyu Jin, Tianle Chen, Chong Zhang, Yongfeng Zhang
2024 A* conf
Goal-Guided Generative Prompt Injection Attack on Large Language Models.
ICDM
Chong Zhang, Mingyu Jin, Qinkai Yu, Chengzhi Liu, Haochen Xue, Xiaobo Jin
2024 J jnl
Goal-guided Generative Prompt Injection Attack on Large Language Models.
CoRR
Chong Zhang, Mingyu Jin, Qinkai Yu, Chengzhi Liu, Haochen Xue, Xiaobo Jin
2024 J jnl
Health-LLM: Personalized Retrieval-Augmented Disease Prediction System.
CoRR
Mingyu Jin, Qinkai Yu, Dong Shu, Chong Zhang, Lizhou Fan, Wenyue Hua, Suiyuan Zhu, Yanda Meng, Zhenting Wang, Mengnan Du, Yongfeng Zhang
2024 C conf
Knowledge Graph Large Language Model (KG-LLM) for Link Prediction.
ACML
Dong Shu, Tianle Chen, Mingyu Jin, Chong Zhang, Mengnan Du, Yongfeng Zhang
2024 J jnl
Knowledge Graph Large Language Model (KG-LLM) for Link Prediction.
CoRR
Dong Shu, Tianle Chen, Mingyu Jin, Yiting Zhang, Chong Zhang, Mengnan Du, Yongfeng Zhang
2024 B conf
Multi-task Prompt Words Learning for Social Media Content Generation.
IJCNN
Haochen Xue, Chong Zhang, Chenzhi Liu, Fangyu Wu, Xiaobo Jin
2024 J jnl
Multi-task Prompt Words Learning for Social Media Content Generation.
CoRR
Haochen Xue, Chong Zhang, Chengzhi Liu, Fangyu Wu, Xiaobo Jin
2024 A conf
Target-driven Attack for Large Language Models.
ECAI
Chong Zhang, Mingyu Jin, Dong Shu, Taowen Wang, Dongfang Liu, Xiaobo Jin
2024 J jnl
Target-driven Attack for Large Language Models.
CoRR
Chong Zhang, Mingyu Jin, Dong Shu, Taowen Wang, Dongfang Liu, Xiaobo Jin
2024 J jnl
Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities.
CoRR
Mingyu Jin, Hua Tang, Chong Zhang, Qinkai Yu, Chengzhi Liu, Suiyuan Zhu, Yongfeng Zhang, Mengnan Du
2024 J jnl
Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities.
SIGKDD Explor.
Hua Tang, Chong Zhang, Mingyu Jin, Qinkai Yu, Zhenting Wang, Xiaobo Jin, Yongfeng Zhang, Mengnan Du
2024 J jnl
When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments.
CoRR
Chong Zhang, Xinyi Liu, Mingyu Jin, Zhongmou Zhang, Lingyao Li, Zhenting Wang, Wenyue Hua, Dong Shu, Suiyuan Zhu, Xiaobo Jin, Sujian Li, Mengnan Du, Yongfeng Zhang
2023 J jnl
A Simple and Effective Baseline for Attentional Generative Adversarial Networks.
CoRR
Mingyu Jin, Chong Zhang, Qinkai Yu, Haochen Xue, Xiaobo Jin, Xi Yang
2023 J jnl
Automatic Image Blending Algorithm Based on SAM and DINO.
CoRR
Haochen Xue, Mingyu Jin, Chong Zhang, Yuxuan Huang, Qian Weng, Xiaobo Jin
2023 — conf
Image Blending Algorithm with Automatic Mask Generation.
ICONIP (8)
Haochen Xue, Mingyu Jin, Chong Zhang, Yuxuan Huang, Qian Weng, Xiaobo Jin
2023 J jnl
Metric Learning for Projections Bias of Generalized Zero-shot Learning.
CoRR
Chong Zhang, Mingyu Jin, Qinkai Yu, Haochen Xue, Xiaobo Jin