Haochen Xue

According to our database, Haochen Xue authored at least 21 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

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

Chong Zhang, Xiang Li, Jia Wang, Shan Liang, Haochen Xue, Xiaobo Jin

CoRR, June, 2025

Two-stage effective attentional generative adversarial network.

Mingyu Jin, Qinkai Yu, Chong Zhang, Haochen Xue, Shuliang Zhao

Appl. Intell., June, 2025

TAGS: A Test-Time Generalist-Specialist Framework with Retrieval-Augmented Reasoning and Verification.

Jianghao Wu, Feilong Tang, Yulong Li, Ming Hu, Haochen Xue, Shoaib Jameel, Yutong Xie, Imran Razzak

CoRR, May, 2025

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

Haochen Xue, Chenghao Liu, Chong Zhang, Yuxuan Chen, Angxiao Zong, Zhaodong Wu, Yulong Li, Jiayi Liu, Kaiyu Liang, Zhixiang Lu, Ruobing Li, Jionglong Su

CoRR, May, 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, April, 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, Yu Qiao, Zhong Zheng, Feilong Tang, Jionglong Su

CoRR, March, 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, Kaixiong Zhou, Yongfeng Zhang

CoRR, March, 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, Kang Dang, Jionglong Su

CoRR, January, 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

Proceedings of the Advanced Intelligent Computing Technology and Applications, 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, Zelin Peng, Zhiwei Yang, Sijin Zhou, Wenxue Li, Yulong Li, Wenxuan Song, Shiyan Su, Wei Feng, Jionglong Su, Mingquan Lin, Yifan Peng, Xuelian Cheng, Imran Razzak, Zongyuan Ge

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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, Chun-Mei Feng, Yutong Xie, Imran Razzak, Zongyuan Ge, Jionglong Su, Junjun He, Yu Qiao

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

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, Yongfeng Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

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

Haochen Xue, Chong Zhang, Chengzhi Liu, Fangyu Wu, Xiaobo Jin

CoRR, 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, Chenzhi Liu, Fangyu Wu, Xiaobo Jin

Proceedings of the International Joint Conference on Neural Networks, 2024

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

Chong Zhang, Mingyu Jin, Qinkai Yu, Chengzhi Liu, Haochen Xue, Xiaobo Jin

Proceedings of the IEEE International Conference on Data Mining, 2024

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

Chong Zhang, Mingyu Jin, Qinkai Yu, Haochen Xue, Shreyank N. Gowda, Xiaobo Jin

Proceedings of the Computer Vision - ACCV 2024, 2024

2023

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

Chong Zhang, Mingyu Jin, Qinkai Yu, Haochen Xue, Xiaobo Jin

CoRR, 2023

A Simple and Effective Baseline for Attentional Generative Adversarial Networks.

Mingyu Jin, Chong Zhang, Qinkai Yu, Haochen Xue, Xiaobo Jin, Xi Yang

CoRR, 2023

Automatic Image Blending Algorithm Based on SAM and DINO.

Haochen Xue, Mingyu Jin, Chong Zhang, Yuxuan Huang, Qian Weng, Xiaobo Jin

CoRR, 2023

Image Blending Algorithm with Automatic Mask Generation.

Haochen Xue, Mingyu Jin, Chong Zhang, Yuxuan Huang, Qian Weng, Xiaobo Jin

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