BrainBench: A Brain-Image Test Suite for Distributional Semantic Models. - Haoyan Xu; Brian Murphy; Alona Fyshe (EMNLP, 2016)

Decoding Music in the Human Brain Using EEG Data. - Chris Foster; Dhanush Dharmaretnam; Haoyan Xu; Alona Fyshe; George Tzanetakis (MMSP, 2018)

Lightweight EEG Classification Model Based on EEG-sensor with Few Channels. - Haoyan Xu; Xiaolong Xu 002 (CyberC, 2019)

Megrez: MOOC-Oriented EEG-Based Arousal of Brain Detection and Adjustment Scheme. - Haoyan Xu; Xiaolong Xu 002 (EDUCON, 2019)

Training neural networks to have brain-like representations improves object recognition performance. - Callie Federer; Haoyan Xu; Alona Fyshe; Joel Zylberberg (CoRR, 2019)

TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding. - Zhiping Xiao 001; Weiping Song; Haoyan Xu; Zhicheng Ren; Yizhou Sun (KDD, 2020)

Multivariate Time Series Forecasting Based on Causal Inference with Transfer Entropy and Graph Neural Network. - Haoyan Xu; Yida Huang; Ziheng Duan; Jie Feng 006; Pengyu Song (CoRR, 2020)

Hierarchical and Fast Graph Similarity Computation via Graph Coarsening and Deep Graph Learning. - Haoyan Xu; Runjian Chen; Yunsheng Bai; Jie Feng 006; Ziheng Duan; Ke Luo; Yizhou Sun; Wei Wang 010 (CoRR, 2020)

Graph Partitioning and Graph Neural Network based Hierarchical Graph Matching for Graph Similarity Computation. - Haoyan Xu; Ziheng Duan; Jie Feng 006; Runjian Chen; Yida Huang; Yueyang 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 006; Anni Ren; Qianru Zhang; Pengyu Song; Xiaoqian Wang 001 (CoRR, 2020)

Modeling Complex Spatial Patterns with Temporal Features via Heterogenous Graph Embedding Networks. - Yida Huang; Haoyan Xu; Ziheng Duan; Anni Ren; Jie Feng 006; Qianru Zhang; Xiaoqian Wang 001 (CoRR, 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 001; Yizhou Sun; Wei Wang 010 (CoRR, 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)

Dubhe: a deep-learning-based B5G coverage analysis method. - Haoyan Xu; Xiaolong Xu 002; Fu Xiao 001 (EURASIP J. Adv. Signal Process., 2021)

Graph partitioning and graph neural network based hierarchical graph matching for graph similarity computation. - Haoyan Xu; Ziheng Duan; Yueyang Wang; Jie Feng 006; Runjian Chen; Qianru Zhang; Zhongbin Xu (Neurocomputing, 2021)

AENEA: A novel autoencoder-based network embedding algorithm. - Xiaolong Xu 002; Haoyan Xu; Yang Wang; Jing Zhang (Peer-to-Peer Netw. Appl., 2021)

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 010 (Neural Networks, 2022)

MTHetGNN: A heterogeneous graph embedding framework for multivariate time series forecasting. - Yueyang Wang; Ziheng Duan; Yida Huang; Haoyan Xu; Jie Feng 006; Anni Ren (Pattern Recognit. Lett., 2022)

Hygeia: A Multilabel Deep Learning-Based Classification Method for Imbalanced Electrocardiogram Data. - Xiaolong Xu 002; Haoyan Xu; Liying Wang; Yuanyuan Zhang; Fu Xiao 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

LEGO-Learn: Label-Efficient Graph Open-Set Learning. - Haoyan Xu; Kay Liu; Zhengtao Yao; Philip S. Yu; Kaize Ding; Yue Zhao 016 (CoRR, 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, 2024)

LEGO-Learn: Label-Efficient Graph Open-Set Learning. - Haoyan Xu; Kay Liu; Zhengtao Yao; Philip S. Yu; Mengyuan Li; Kaize Ding; Yue Zhao 016 (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 016 (CoRR, 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 016 (CoRR, 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 016 (CoRR, 2025)

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 (CoRR, 2025)