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Haochen Xue

Goal-Guided Generative Prompt Injection Attack on Large Language Models
2024 · Chong Zhang, Mingyu Jin, et al. · Proceedings · 26
Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding
2025 · Feilong Tang, Chengzhi Liu, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 14
MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation
2025 · Haochen Xue, Feilong Tang, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 9
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Decoding the Flow: CauseMotion for Emotional Causality Analysis in Long-form Conversations
2025 · Yuxuan Zhang, Yulong Li, et al. · IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) · 8
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Multi-task Prompt Words Learning for Social Media Content Generation
2024 · Haochen Xue, Chong Zhang, et al. · International Joint Conference on Neural Networks (IJCNN) · 7
MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset
2025 · Zhaodong Wu, Qiaochu Zhao, et al. · Lecture notes in computer science · 4
Large Vision-Language Model Security: A Survey
2024 · Taowen Wang, Zheng Fang, et al. · Communications in computer and information science · 4
Advancing Low-Resource Machine Translation: A Unified Data Selection and Scoring Optimization Framework
2025 · Zhixiang Lu, Peichen Ji, et al. · Lecture notes in computer science · 3
LLM-Enhanced Feature Engineering for Multi-factor Electricity Price Predictions
2025 · Haochen Xue, Chenghao Liu, et al. · Communications in computer and information science · 3
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Image Blending Algorithm with Automatic Mask Generation
2023 · Haochen Xue, Mingyu Jin, et al. · Communications in computer and information science · 3
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Bridging the Projection Gap: Overcoming Projection Bias Through Parameterized Distance Learning
2024 · Chong Zhang, Mingyu Jin, et al. · Lecture notes in computer science · 2
Goal-guided Generative Prompt Injection Attack on Large Language Models
2024 · Zhang, Chong, Jin, Mingyu, et al. · arXiv (Cornell University) · 2
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A Simple and Effective Baseline for Attentional Generative Adversarial Networks
2023 · Jin, Mingyu, Zhang, Chong, et al. · arXiv (Cornell University) · 2
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Population-scale characterization of the oral microbiome and associations with metabolic health
2026 · Haochen Xue, Anastasia Godneva, et al. · Nature Communications · 1
TAGS: A Test-Time Generalist–Specialist Framework with Retrieval-Augmented Reasoning and Verification
2026 · Jianghao Wu, Feilong Tang, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 1
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Two-stage effective attentional generative adversarial network
2025 · Mingyu Jin, Qinkai Yu, et al. · Applied Intelligence · 1
Multi-task Prompt Words Learning for Social Media Content Generation
2024 · Xue, Haochen, Zhang, Chong, et al. · arXiv (Cornell University) · 1
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Population-scale dietary signatures of the oral microbiome
2026 · Kaiyu Liang, Haochen Xue, et al. · bioRxiv (Cold Spring Harbor Laboratory)
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Seeing, Maintaining, and Learning: The Evolution of Multimodal Agent Memory
2026 · Guo, Minghao, Jiao, Qingyue, et al. · arXiv (Cornell University)
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CNText2Sign and CNSign: Unified Chinese Sign Language Datasets for Bidirectional Accessibility
2026 · Yulong Li, Yuxuan Zhang, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
Rhythm of Opinion: Interpretable Hawkes-Graph Networks for Hierarchical Opinion Propagation
2026 · Yulong Li, Zhixiang Lu, et al. · International World Wide Web Conference (WWW)
Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development
2026 · Deng, Zhongying, Tang, Cheng, et al. · arXiv (Cornell University)
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ConFoThinking: Consolidated Focused Attention Driven Thinking for Visual Question Answering
2026 · Wu, Zhaodong, Xue, Haochen, et al. · arXiv (Cornell University)
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Adversarial Attacks and Defenses on Large Language Models: A Systematic Review
2026 · Ruobing Li, Jiayi Liu, et al.
LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph Foundation Models
2026 · Xi Zhu, Haochen Xue, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Works count: 26
Citation count: 91
H-index: 5
I10-index: 2
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