Haoyan Xu

According to our database, Haoyan Xu authored at least 35 papers between 2016 and 2026.

Collaborative distances:

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

2026

Multimodal Generative Engine Optimization: Rank Manipulation for Vision-Language Model Rankers.

Yixuan Du, Chenxiao Yu, Haoyan Xu, Ziyi Wang, Yue Zhao, Xiyang Hu

CoRR, January, 2026

CATP: Contextually Adaptive Token Pruning for Efficient and Enhanced Multimodal In-Context Learning.

Yanshu Li, Jianjiang Yang, Zhennan Shen, Ligong Han, Haoyan Xu, Ruixiang Tang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

SepPrune: Structured Pruning for Efficient Deep Speech Separation.

Yuqi Li, Kai Li, Xin Yin, Zhifei Yang, Zeyu Dong, Zhengtao Yao, Haoyan Xu, Yingli Tian, Yao Lu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

ChromouVQA: Benchmarking Vision-Language Models under Chromatic Camouflaged Images.

Yunfei Zhang, Yizhuo He, Yuanxun Shao, Zhengtao Yao, Haoyan Xu, Junhao Dong, Zhen Yao, Zhikang Dong

CoRR, December, 2025

TAGFN: A Text-Attributed Graph Dataset for Fake News Detection in the Age of LLMs.

Kay Liu, Yuwei Han, Haoyan Xu, Henry Peng Zou, Yue Zhao, Philip S. Yu

CoRR, November, 2025

LLM-Powered Text-Attributed Graph Anomaly Detection via Retrieval-Augmented Reasoning.

Haoyan Xu, Ruizhi Qian, Zhengtao Yao, Ziyi Liu, Li Li, Yuqi Li, Yanshu Li, Wenqing Zheng, Daniele Rosa, Daniel Barcklow, Senthil Kumar, Jieyu Zhao, Yue Zhao

CoRR, November, 2025

A Systematic Study of Model Extraction Attacks on Graph Foundation Models.

Haoyan Xu, Ruizhi Qian, Jiate Li, Yushun Dong, Minghao Lin, Hanson Yan, Zhengtao Yao, Qinghua Liu, Junhao Dong, Ruopeng Huang, Yue Zhao, Mengyuan Li

CoRR, November, 2025

JEPA-T: Joint-Embedding Predictive Architecture with Text Fusion for Image Generation.

Siheng Wang, Zhengtao Yao, Zhengdao Li, Junhao Dong, Yanshu Li, Yikai Li, Linshan Li, Haoyan Xu, Yijiang Li, Zhikang Dong, Huacan Wang, Jifeng Shen

CoRR, October, 2025

Can Molecular Foundation Models Know What They Don't Know? A Simple Remedy with Preference Optimization.

Langzhou He, Junyou Zhu, Fangxin Wang, Junhua Liu, Haoyan Xu, Yue Zhao, Philip S. Yu, Qitian Wu

CoRR, September, 2025

AMMKD: Adaptive Multimodal Multi-teacher Distillation for Lightweight Vision-Language Models.

Yuqi Li, Chuanguang Yang, Junhao Dong, Zhengtao Yao, Haoyan Xu, Zeyu Dong, Hansheng Zeng, Zhulin An, Yingli Tian

CoRR, September, 2025

Graph Synthetic Out-of-Distribution Exposure with Large Language Models.

Haoyan Xu, Zhengtao Yao, Ziyi Wang, Zhan Cheng, Xiyang Hu, Mengyuan Li, Yue Zhao

CoRR, April, 2025

GLIP-OOD: Zero-Shot Graph OOD Detection with Foundation Model.

Haoyan Xu, Zhengtao Yao, Xuzhi Zhang, Ziyi Wang, Langzhou He, Yushun Dong, Philip S. Yu, Mengyuan Li, Yue Zhao

CoRR, April, 2025

LEGO-Learn: Label-Efficient Graph Open-Set Learning.

Haoyan Xu, Kay Liu, Zhengtao Yao, Philip S. Yu, Mengyuan Li, Kaize Ding, Yue Zhao

Trans. Mach. Learn. Res., 2025

Few-Shot Graph Out-of-Distribution Detection with LLMs.

Haoyan Xu, Zhengtao Yao, Yushun Dong, Ziyi Wang, Ryan A. Rossi, Mengyuan Li, Yue Zhao

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

2024

A Highly Sensitive, Low Creep Hydrogel Sensor for Plant Growth Monitoring.

Haoyan Xu, Guangyao Zhang, Wensheng Wang, Chenrui Sun, Hanyu Wang, Han Wu, Zhuangzhi Sun

Sensors, October, 2024

LEGO-Learn: Label-Efficient Graph Open-Set Learning.

Haoyan Xu, Kay Liu, Zhengtao Yao, Philip S. Yu, Kaize Ding, Yue Zhao

CoRR, 2024

2023

Hygeia: A Multilabel Deep Learning-Based Classification Method for Imbalanced Electrocardiogram Data.

Xiaolong Xu, Haoyan Xu, Liying Wang, Yuanyuan Zhang, Fu Xiao

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

2022

MTHetGNN: A heterogeneous graph embedding framework for multivariate time series forecasting.

Yueyang Wang, Ziheng Duan, Yida Huang, Haoyan Xu, Jie Feng, Anni Ren

Pattern Recognit. Lett., 2022

Multivariate time-series classification with hierarchical variational graph pooling.

Ziheng Duan, Haoyan Xu, Yueyang Wang, Yida Huang, Anni Ren, Zhongbin Xu, Yizhou Sun, Wei Wang

Neural Networks, 2022

2021

AENEA: A novel autoencoder-based network embedding algorithm.

Xiaolong Xu, Haoyan Xu, Yang Wang, Jing Zhang

Peer-to-Peer Netw. Appl., 2021

Graph partitioning and graph neural network based hierarchical graph matching for graph similarity computation.

Haoyan Xu, Ziheng Duan, Yueyang Wang, Jie Feng, Runjian Chen, Qianru Zhang, Zhongbin Xu

Neurocomputing, 2021

Dubhe: a deep-learning-based B5G coverage analysis method.

Haoyan Xu, Xiaolong Xu, Fu Xiao

EURASIP J. Adv. Signal Process., 2021

2020

Improved object recognition using neural networks trained to mimic the brain's statistical properties.

Callie Federer, Haoyan Xu, Alona Fyshe, Joel Zylberberg

Neural Networks, 2020

Multivariate Time Series Classification with Hierarchical Variational Graph Pooling.

Haoyan Xu, Ziheng Duan, Yunsheng Bai, Yida Huang, Anni Ren, Qianru Yu, Qianru Zhang, Yueyang Wang, Xiaoqian Wang, Yizhou Sun, Wei Wang

CoRR, 2020

Modeling Complex Spatial Patterns with Temporal Features via Heterogenous Graph Embedding Networks.

Yida Huang, Haoyan Xu, Ziheng Duan, Anni Ren, Jie Feng, Qianru Zhang, Xiaoqian Wang

CoRR, 2020

Parallel Extraction of Long-term Trends and Short-term Fluctuation Framework for Multivariate Time Series Forecasting.

Haoyan Xu, Ziheng Duan, Yida Huang, Jie Feng, Anni Ren, Qianru Zhang, Pengyu Song, Xiaoqian Wang

CoRR, 2020

Graph Partitioning and Graph Neural Network based Hierarchical Graph Matching for Graph Similarity Computation.

Haoyan Xu, Ziheng Duan, Jie Feng, Runjian Chen, Yida Huang, Yueyang Wang

CoRR, 2020

Hierarchical and Fast Graph Similarity Computation via Graph Coarsening and Deep Graph Learning.

Haoyan Xu, Runjian Chen, Yunsheng Bai, Jie Feng, Ziheng Duan, Ke Luo, Yizhou Sun, Wei Wang

CoRR, 2020

Multivariate Time Series Forecasting Based on Causal Inference with Transfer Entropy and Graph Neural Network.

Haoyan Xu, Yida Huang, Ziheng Duan, Jie Feng, Pengyu Song

CoRR, 2020

TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding.

Zhiping Xiao, Weiping Song, Haoyan Xu, Zhicheng Ren, Yizhou Sun

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Training neural networks to have brain-like representations improves object recognition performance.

Callie Federer, Haoyan Xu, Alona Fyshe, Joel Zylberberg

CoRR, 2019

Megrez: MOOC-Oriented EEG-Based Arousal of Brain Detection and Adjustment Scheme.

Haoyan Xu, Xiaolong Xu

Proceedings of the IEEE Global Engineering Education Conference, 2019

Lightweight EEG Classification Model Based on EEG-sensor with Few Channels.

Haoyan Xu, Xiaolong Xu

Proceedings of the 2019 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2019

2018

Decoding Music in the Human Brain Using EEG Data.

Chris Foster, Dhanush Dharmaretnam, Haoyan Xu, Alona Fyshe, George Tzanetakis

Proceedings of the 20th IEEE International Workshop on Multimedia Signal Processing, 2018

2016

BrainBench: A Brain-Image Test Suite for Distributional Semantic Models.

Haoyan Xu, Brian Murphy, Alona Fyshe

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016