Haoyan Xu - RankMe

38 papers A* 4C 2Journal 30Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	CATP: Contextually Adaptive Token Pruning for Efficient and Enhanced Multimodal In-Context Learning. AAAI Yanshu Li, Jianjiang Yang, Zhennan Shen, Ligong Han, Haoyan Xu, Ruixiang Tang
2026	J	`jnl`	Multimodal Generative Engine Optimization: Rank Manipulation for Vision-Language Model Rankers. CoRR Yixuan Du, Chenxiao Yu, Haoyan Xu, Ziyi Wang, Yue Zhao, Xiyang Hu
2026	A*	`conf`	SepPrune: Structured Pruning for Efficient Deep Speech Separation. AAAI Yuqi Li, Kai Li, Xin Yin, Zhifei Yang, Zeyu Dong, Zhengtao Yao, Haoyan Xu, Yingli Tian, Yao Lu
2025	J	`jnl`	A Systematic Study of Model Extraction Attacks on Graph Foundation Models. CoRR Haoyan Xu, Ruizhi Qian, Jiate Li, Yushun Dong, Minghao Lin, Hanson Yan, Zhengtao Yao, Qinghua Liu, Junhao Dong, Ruopeng Huang, Yue Zhao, Mengyuan Li
2025	J	`jnl`	AMMKD: Adaptive Multimodal Multi-teacher Distillation for Lightweight Vision-Language Models. CoRR Yuqi Li, Chuanguang Yang, Junhao Dong, Zhengtao Yao, Haoyan Xu, Zeyu Dong, Hansheng Zeng, Zhulin An, Yingli Tian
2025	J	`jnl`	CATP: Contextually Adaptive Token Pruning for Efficient and Enhanced Multimodal In-Context Learning. CoRR Yanshu Li, Jianjiang Yang, Zhennan Shen, Ligong Han, Haoyan Xu, Ruixiang Tang
2025	J	`jnl`	Can Molecular Foundation Models Know What They Don't Know? A Simple Remedy with Preference Optimization. CoRR Langzhou He, Junyou Zhu, Fangxin Wang, Junhua Liu, Haoyan Xu, Yue Zhao, Philip S. Yu, Qitian Wu
2025	J	`jnl`	ChromouVQA: Benchmarking Vision-Language Models under Chromatic Camouflaged Images. CoRR Yunfei Zhang, Yizhuo He, Yuanxun Shao, Zhengtao Yao, Haoyan Xu, Junhao Dong, Zhen Yao, Zhikang Dong
2025	—	`conf`	Few-Shot Graph Out-of-Distribution Detection with LLMs. ECML/PKDD (4) Haoyan Xu, Zhengtao Yao, Yushun Dong, Ziyi Wang, Ryan A. Rossi, Mengyuan Li, Yue Zhao
2025	J	`jnl`	Few-Shot Graph Out-of-Distribution Detection with LLMs. CoRR Haoyan Xu, Zhengtao Yao, Yushun Dong, Ziyi Wang, Ryan A. Rossi, Mengyuan Li, Yue Zhao
2025	J	`jnl`	GLIP-OOD: Zero-Shot Graph OOD Detection with Foundation Model. CoRR Haoyan Xu, Zhengtao Yao, Xuzhi Zhang, Ziyi Wang, Langzhou He, Yushun Dong, Philip S. Yu, Mengyuan Li, Yue Zhao
2025	J	`jnl`	Graph Synthetic Out-of-Distribution Exposure with Large Language Models. CoRR Haoyan Xu, Zhengtao Yao, Ziyi Wang, Zhan Cheng, Xiyang Hu, Mengyuan Li, Yue Zhao
2025	J	`jnl`	JEPA-T: Joint-Embedding Predictive Architecture with Text Fusion for Image Generation. CoRR Siheng Wang, Zhengtao Yao, Zhengdao Li, Junhao Dong, Yanshu Li, Yikai Li, Linshan Li, Haoyan Xu, Yijiang Li, Zhikang Dong, Huacan Wang, Jifeng Shen
2025	J	`jnl`	LEGO-Learn: Label-Efficient Graph Open-Set Learning. Trans. Mach. Learn. Res. Haoyan Xu, Kay Liu, Zhengtao Yao, Philip S. Yu, Mengyuan Li, Kaize Ding, Yue Zhao
2025	J	`jnl`	LLM-Powered Text-Attributed Graph Anomaly Detection via Retrieval-Augmented Reasoning. CoRR 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
2025	J	`jnl`	TAGFN: A Text-Attributed Graph Dataset for Fake News Detection in the Age of LLMs. CoRR Kay Liu, Yuwei Han, Haoyan Xu, Henry Peng Zou, Yue Zhao, Philip S. Yu
2024	J	`jnl`	A Highly Sensitive, Low Creep Hydrogel Sensor for Plant Growth Monitoring. Sensors Haoyan Xu, Guangyao Zhang, Wensheng Wang, Chenrui Sun, Hanyu Wang, Han Wu, Zhuangzhi Sun
2024	J	`jnl`	LEGO-Learn: Label-Efficient Graph Open-Set Learning. CoRR Haoyan Xu, Kay Liu, Zhengtao Yao, Philip S. Yu, Kaize Ding, Yue Zhao
2023	J	`jnl`	Hygeia: A Multilabel Deep Learning-Based Classification Method for Imbalanced Electrocardiogram Data. IEEE ACM Trans. Comput. Biol. Bioinform. Xiaolong Xu, Haoyan Xu, Liying Wang, Yuanyuan Zhang, Fu Xiao
2022	J	`jnl`	MTHetGNN: A heterogeneous graph embedding framework for multivariate time series forecasting. Pattern Recognit. Lett. Yueyang Wang, Ziheng Duan, Yida Huang, Haoyan Xu, Jie Feng, Anni Ren
2022	J	`jnl`	Multivariate time-series classification with hierarchical variational graph pooling. Neural Networks Ziheng Duan, Haoyan Xu, Yueyang Wang, Yida Huang, Anni Ren, Zhongbin Xu, Yizhou Sun, Wei Wang
2021	J	`jnl`	AENEA: A novel autoencoder-based network embedding algorithm. Peer-to-Peer Netw. Appl. Xiaolong Xu, Haoyan Xu, Yang Wang, Jing Zhang
2021	J	`jnl`	Dubhe: a deep-learning-based B5G coverage analysis method. EURASIP J. Adv. Signal Process. Haoyan Xu, Xiaolong Xu, Fu Xiao
2021	J	`jnl`	Graph partitioning and graph neural network based hierarchical graph matching for graph similarity computation. Neurocomputing Haoyan Xu, Ziheng Duan, Yueyang Wang, Jie Feng, Runjian Chen, Qianru Zhang, Zhongbin Xu
2020	J	`jnl`	Graph Partitioning and Graph Neural Network based Hierarchical Graph Matching for Graph Similarity Computation. CoRR Haoyan Xu, Ziheng Duan, Jie Feng, Runjian Chen, Yida Huang, Yueyang Wang
2020	J	`jnl`	Hierarchical and Fast Graph Similarity Computation via Graph Coarsening and Deep Graph Learning. CoRR Haoyan Xu, Runjian Chen, Yunsheng Bai, Jie Feng, Ziheng Duan, Ke Luo, Yizhou Sun, Wei Wang
2020	J	`jnl`	Improved object recognition using neural networks trained to mimic the brain's statistical properties. Neural Networks Callie Federer, Haoyan Xu, Alona Fyshe, Joel Zylberberg
2020	J	`jnl`	Modeling Complex Spatial Patterns with Temporal Features via Heterogenous Graph Embedding Networks. CoRR Yida Huang, Haoyan Xu, Ziheng Duan, Anni Ren, Jie Feng, Qianru Zhang, Xiaoqian Wang
2020	J	`jnl`	Multivariate Time Series Classification with Hierarchical Variational Graph Pooling. CoRR Haoyan Xu, Ziheng Duan, Yunsheng Bai, Yida Huang, Anni Ren, Qianru Yu, Qianru Zhang, Yueyang Wang, Xiaoqian Wang, Yizhou Sun, Wei Wang
2020	J	`jnl`	Multivariate Time Series Forecasting Based on Causal Inference with Transfer Entropy and Graph Neural Network. CoRR Haoyan Xu, Yida Huang, Ziheng Duan, Jie Feng, Pengyu Song
2020	J	`jnl`	Parallel Extraction of Long-term Trends and Short-term Fluctuation Framework for Multivariate Time Series Forecasting. CoRR Haoyan Xu, Ziheng Duan, Yida Huang, Jie Feng, Anni Ren, Qianru Zhang, Pengyu Song, Xiaoqian Wang
2020	A*	`conf`	TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding. KDD Zhiping Xiao, Weiping Song, Haoyan Xu, Zhicheng Ren, Yizhou Sun
2020	J	`jnl`	TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding. CoRR Zhiping Xiao, Weiping Song, Haoyan Xu, Zhicheng Ren, Yizhou Sun
2019	—	`conf`	Lightweight EEG Classification Model Based on EEG-sensor with Few Channels. CyberC Haoyan Xu, Xiaolong Xu
2019	C	`conf`	Megrez: MOOC-Oriented EEG-Based Arousal of Brain Detection and Adjustment Scheme. EDUCON Haoyan Xu, Xiaolong Xu
2019	J	`jnl`	Training neural networks to have brain-like representations improves object recognition performance. CoRR Callie Federer, Haoyan Xu, Alona Fyshe, Joel Zylberberg
2018	C	`conf`	Decoding Music in the Human Brain Using EEG Data. MMSP Chris Foster, Dhanush Dharmaretnam, Haoyan Xu, Alona Fyshe, George Tzanetakis
2016	A*	`conf`	BrainBench: A Brain-Image Test Suite for Distributional Semantic Models. EMNLP Haoyan Xu, Brian Murphy, Alona Fyshe