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)

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)

ProLLM: Protein Chain-of-Thoughts Enhanced LLM for Protein-Protein Interaction Prediction. - Mingyu Jin; Haochen Xue; Zhenting Wang; Boming Kang; Ruosong Ye; Kaixiong Zhou; Mengnan Du; Yongfeng Zhang (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)

Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities. - Wenyue Hua; Kaijie Zhu; Lingyao Li; Lizhou Fan; Mingyu Jin; Shuhang Lin; Haochen Xue; Zelong Li; Jindong Wang 001; Yongfeng Zhang (ACL (Findings), 2025)

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)

Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding. - Feilong Tang; Chengzhi Liu; Zhongxing Xu; Ming Hu; Zile Huang; Haochen Xue; Ziyang Chen 003; Zelin Peng; Zhiwei Yang; Sijin Zhou; Wenxue Li; Yulong Li; et al. (CVPR, 2025)

Advancing Low-Resource Machine Translation: A Unified Data Selection and Scoring Optimization Framework. - Zhixiang Lu; Peichen Ji; Yulong Li; Ding Sun; Chenyu Xue; Haochen Xue; Mian Zhou; Angelos Stefanidis; Jionglong Su; Zhengyong Jiang (ICIC (24), 2025)

Beyond Words: AuralLLM and SignMST-C for Precise Sign Language Production and Bidirectional Accessibility. - Yulong Li; Yuxuan Zhang; Feilong Tang; Mian Zhou; Zhixiang Lu; Haochen Xue; Yifang Wang 011; Kang Dang; Jionglong Su (CoRR, 2025)

LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph Foundation Models. - Xi Zhu; Haochen Xue; Ziwei Zhao; Wujiang Xu; Jingyuan Huang; Minghao Guo; Qifan Wang 001; Kaixiong Zhou; Yongfeng Zhang (CoRR, 2025)

MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset. - Zhaodong Wu; Qiaochu Zhao; Ming Hu; Yulong Li; Haochen Xue; Kang Dang; Zhengyong Jiang; Angelos Stefanidis; Qiufeng Wang; Imran Razzak; Zongyuan Ge; Junjun He; et al. (CoRR, 2025)

Rhythm of Opinion: A Hawkes-Graph Framework for Dynamic Propagation Analysis. - Yulong Li; Zhixiang Lu; Feilong Tang; Simin Lai; Ming Hu; Yuxuan Zhang; Haochen Xue; Zhaodong Wu; Imran Razzak; Qingxia Li; Jionglong Su (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)

TAGS: A Test-Time Generalist-Specialist Framework with Retrieval-Augmented Reasoning and Verification. - Jianghao Wu 007; Feilong Tang; Yulong Li; Ming Hu; Haochen Xue; Shoaib Jameel; Yutong Xie 001; Imran Razzak (CoRR, 2025)

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