Haochen Xue

According to our database, Haochen Xue authored at least 32 papers between 2023 and 2026.

Collaborative distances:

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

2026

Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development.

Zhongying Deng, Cheng Tang, Ziyan Huang, Jiashi Lin, Ying Chen, Junzhi Ning, Chenglong Ma, Jiyao Liu, Wei Li, Yinghao Zhu, Shujian Gao, Yanyan Huang, Sibo Ju, Yanzhou Su, Pengcheng Chen, Wenhao Tang, Tianbin Li, Haoyu Wang, Yuanfeng Ji, Hui Sun, Shaobo Min, Liang Peng, Feilong Tang, Haochen Xue, Rulin Zhou, Chaoyang Zhang, Wenjie Li, Shaohao Rui, Weijie Ma, Xingyue Zhao, Yibin Wang, Kun Yuan, Zhaohui Lu, Shujun Wang, Jinjie Wei, Lihao Liu, Dingkang Yang, Lin Wang, Yulong Li, Haolin Yang, Yiqing Shen, Lequan Yu, Xiaowei Hu, Yun Gu, Yicheng Wu, Benyou Wang, Minghui Zhang, Angelica I. Avilés-Rivero, Qi Gao, Hongming Shan, Xiaoyu Ren, Fang Yan, Hongyu Zhou, Haodong Duan, Maosong Cao, Shanshan Wang, Bin Fu, Xiaomeng Li, Zhi Hou, Chunfeng Song, Lei Bai, Yuan Cheng, Yuandong Pu, Xiang Li, Wenhai Wang, Hao Chen, Jiaxin Zhuang, Songyang Zhang, Huiguang He, Mengzhang Li, Bohan Zhuang, Zhian Bai, Rongshan Yu, Liansheng Wang, Yukun Zhou, Xiaosong Wang, Xin Guo, Guanbin Li, Xiangru Lin, Dakai Jin, Mianxin Liu, Wenlong Zhang, Qi Qin, Conghui He, Yuqiang Li, Ye Luo, Nanqing Dong, Jie Xu, Wenqi Shao, Bo Zhang, Qiujuan Yan, Yihao Liu, Jun Ma, Zhi Lu, Yuewen Cao, Zongwei Zhou, Jianming Liang, Shixiang Tang, Qi Duan, et al.

CoRR, March, 2026

ConFoThinking: Consolidated Focused Attention Driven Thinking for Visual Question Answering.

Zhaodong Wu, Haochen Xue, Qi Cao, Wenqi Mo, Yu Pei, Wenqi Xu, Jionglong Su, Yang Liu

CoRR, March, 2026

RAGRouter-Bench: A Dataset and Benchmark for Adaptive RAG Routing.

Ziqi Wang, Xi Zhu, Shuhang Lin, Haochen Xue, Minghao Guo, Yongfeng Zhang

CoRR, February, 2026

Rhythm of Opinion: Interpretable Hawkes-Graph Networks for Hierarchical Opinion Propagation.

Yulong Li, Zhixiang Lu, Peixin Guo, Simin Lai, Yuxuan Zhang, Haochen Xue, Xiwei Liu, Yichen Li, Zhaodong Wu, Feilong Tang, Mian Zhou, Chong Li, Imran Razzak, Qingxia Li, Jionglong Su

Proceedings of the ACM Web Conference 2026, 2026

CNText2Sign and CNSign: Unified Chinese Sign Language Datasets for Bidirectional Accessibility.

Yulong Li, Yuxuan Zhang, Feilong Tang, Ming Hu, Zhixiang Lu, Haochen Xue, Jianghao Wu, Rui Chen, Mian Zhou, Kang Dang, Chong Li, Yifang Wang, Imran Razzak, Jionglong Su

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

FedCD: Towards Consolidated Distillation for Heterogeneous Federated Learning.

Yichen Li, Hang Su, Huifa Li, Haolin Yang, Xinlin Zhuang, Haochen Xue, Haozhao Wang, Imran Razzak

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Phenome-Wide Multi-Omics Integration Uncovers Distinct Archetypes of Human Aging.

Huifa Li, Feilong Tang, Haochen Xue, Yulong Li, Xinlin Zhuang, Bin Zhang, Eran Segal, Imran Razzak

CoRR, October, 2025

scAGC: Learning Adaptive Cell Graphs with Contrastive Guidance for Single-Cell Clustering.

Huifa Li, Jie Fu, Xinlin Zhuang, Haolin Yang, Xinpeng Ling, Tong Cheng, Haochen Xue, Imran Razzak, Zhili Chen

CoRR, August, 2025

Towards Efficient Medical Reasoning with Minimal Fine-Tuning Data.

Xinlin Zhuang, Feilong Tang, Haolin Yang, Ming Hu, Huifa Li, Haochen Xue, Yichen Li, Junjun He, Zongyuan Ge, Ying Qian, Imran Razzak

CoRR, August, 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

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

Genesis: A Large-Scale Benchmark for Multimodal Large Language Model in Emotional Causality Analysis.

Yulong Li, Yuxuan Zhang, Rui Chen, Feilong Tang, Zhixiang Lu, Ming Hu, Jianghao Wu, Haochen Xue, Mian Zhou, Chong Li, Jionglong Su, Imran Razzak

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset.

Zhaodong Wu, Qiaochu Zhao, Ming Hu, Yulong Li, Haochen Xue, Zhengyong Jiang, Angelos Stefanidis, Qiufeng Wang, Imran Razzak, Zongyuan Ge, Junjun He, Yu Qiao, Zhong Zheng, Feilong Tang, Kang Dang, Jionglong Su

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 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

Decoding the Flow: CauseMotion for Emotional Causality Analysis in Long-form Conversations.

Yuxuan Zhang, Yulong Li, Feilong Tang, Zichen Yu, Ming Hu, Zhixiang Lu, Haochen Xue, Zhaodong Wu, Kang Dang, Imran Razzak, Jionglong Su

Proceedings of the IEEE International Conference on Advanced Visual and Signal-Based Systems, 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