Zhiping Xiao

According to our database, Zhiping Xiao authored at least 56 papers between 2016 and 2025.

Collaborative distances:

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

2025

PolyCF: Towards Optimal Spectral Graph Filters for Collaborative Filtering.

Yifang Qin, Wei Ju, Yiyang Gu, Ziyue Qiao, Zhiping Xiao, Ming Zhang

ACM Trans. Inf. Syst., July, 2025

FMC: Formalization of Natural Language Mathematical Competition Problems.

Jiaxuan Xie, Chengwu Liu, Ye Yuan, Siqi Li, Zhiping Xiao, Ming Zhang

CoRR, July, 2025

Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation.

Junyu Luo, Yuhao Tang, Yiwei Fu, Xiao Luo, Zhizhuo Kou, Zhiping Xiao, Wei Ju, Wentao Zhang, Ming Zhang

CoRR, July, 2025

Dynamic Text Bundling Supervision for Zero-Shot Inference on Text-Attributed Graphs.

Yusheng Zhao, Qixin Zhang, Xiao Luo, Weizhi Zhang, Zhiping Xiao, Wei Ju, Philip S. Yu, Ming Zhang

CoRR, May, 2025

MARCO: Meta-Reflection with Cross-Referencing for Code Reasoning.

Yusheng Zhao, Xiao Luo, Weizhi Zhang, Wei Ju, Zhiping Xiao, Philip S. Yu, Ming Zhang

CoRR, May, 2025

Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness.

Yusheng Zhao, Junyu Luo, Xiao Luo, Weizhi Zhang, Zhiping Xiao, Wei Ju, Philip S. Yu, Ming Zhang

CoRR, April, 2025

Large Language Model Agent: A Survey on Methodology, Applications and Challenges.

Junyu Luo, Weizhi Zhang, Ye Yuan, Yusheng Zhao, Junwei Yang, Yiyang Gu, Bohan Wu, Binqi Chen, Ziyue Qiao, Qingqing Long, Rongcheng Tu, Xiao Luo, Wei Ju, Zhiping Xiao, Yifan Wang, Meng Xiao, Chenwu Liu, Jingyang Yuan, Shichang Zhang, Yiqiao Jin, Fan Zhang, Xian Wu, Hanqing Zhao, Dacheng Tao, Philip S. Yu, Ming Zhang

CoRR, March, 2025

A Social Dynamical System for Twitter Analysis.

Zhiping Xiao, Xinyu Wang, Yifang Qin, Zijie Huang, Mason A. Porter, Yizhou Sun

CoRR, March, 2025

Learning Knowledge-diverse Experts for Long-tailed Graph Classification.

Zhengyang Mao, Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Qingqing Long, Nan Yin, Xinwang Liu, Ming Zhang

ACM Trans. Knowl. Discov. Data, February, 2025

Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention.

Jingyang Yuan, Huazuo Gao, Damai Dai, Junyu Luo, Liang Zhao, Zhengyan Zhang, Zhenda Xie, Y. X. Wei, Lean Wang, Zhiping Xiao, Yuqing Wang, Chong Ruan, Ming Zhang, Wenfeng Liang, Wangding Zeng

CoRR, February, 2025

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models.

Kangjie Zheng, Junwei Yang, Siyue Liang, Bin Feng, Zequn Liu, Wei Ju, Zhiping Xiao, Ming Zhang

CoRR, January, 2025

Cross-Domain Diffusion With Progressive Alignment for Efficient Adaptive Retrieval.

Junyu Luo, Yusheng Zhao, Xiao Luo, Zhiping Xiao, Wei Ju, Li Shen, Dacheng Tao, Ming Zhang

IEEE Trans. Image Process., 2025

GMR-Rec: Graph mutual regularization learning for multi-domain recommendation.

Yifan Wang, Yangzi Yang, Shuai Li, Yutao Xie, Zhiping Xiao, Ming Zhang, Wei Ju

Inf. Sci., 2025

MATE: Masked optimal transport with dynamic selection for partial label graph learning.

Yiyang Gu, Binqi Chen, Zihao Chen, Ziyue Qiao, Xiao Luo, Junyu Luo, Zhiping Xiao, Wei Ju, Ming Zhang

Artif. Intell., 2025

Semi-supervised Fine-tuning for Large Language Models.

Junyu Luo, Xiao Luo, Xiusi Chen, Zhiping Xiao, Wei Ju, Ming Zhang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

How Do Large Language Models Perform in Dynamical System Modeling.

Xiao Luo, Binqi Chen, Haixin Wang, Zhiping Xiao, Ming Zhang, Yizhou Sun

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Future Matters for Present: Towards Effective Physical Simulation over Meshes.

Xiao Luo, Junyu Luo, Huiyu Jiang, Hang Zhou, Zhiping Xiao, Wei Ju, Carl Ji Yang, Ming Zhang, Yizhou Sun

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision.

Kangjie Zheng, Siyue Liang, Junwei Yang, Bin Feng, Zequn Liu, Wei Ju, Zhiping Xiao, Ming Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Embracing Large Language Models in Traffic Flow Forecasting.

Yusheng Zhao, Xiao Luo, Haomin Wen, Zhiping Xiao, Wei Ju, Ming Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention.

Jingyang Yuan, Huazuo Gao, Damai Dai, Junyu Luo, Liang Zhao, Zhengyan Zhang, Zhenda Xie, Yuxing Wei, Lean Wang, Zhiping Xiao, Yuqing Wang, Chong Ruan, Ming Zhang, Wenfeng Liang, Wangding Zeng

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

A Survey on Efficient Large Language Model Training: From Data-centric Perspectives.

Junyu Luo, Bohan Wu, Xiao Luo, Zhiping Xiao, Yiqiao Jin, Rong-Cheng Tu, Nan Yin, Yifan Wang, Jingyang Yuan, Wei Ju, Ming Zhang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation.

Junyu Luo, Zhizhuo Kou, Liming Yang, Xiao Luo, Jinsheng Huang, Zhiping Xiao, Jingshu Peng, Chengzhong Liu, Jiaming Ji, Xuanzhe Liu, Sirui Han, Ming Zhang, Yike Guo

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs.

Yusheng Zhao, Changhu Wang, Xiao Luo, Junyu Luo, Wei Ju, Zhiping Xiao, Ming Zhang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Attention Bootstrapping for Multi-Modal Test-Time Adaptation.

Yusheng Zhao, Junyu Luo, Xiao Luo, Jinsheng Huang, Jingyang Yuan, Zhiping Xiao, Ming Zhang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

GeoMamba: Towards Multi-granular POI Recommendation with Geographical State Space Model.

Yifang Qin, Jiaxuan Xie, Zhiping Xiao, Ming Zhang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation.

Hourun Li, Yifan Wang, Zhiping Xiao, Jia Yang, Changling Zhou, Ming Zhang, Wei Ju

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Cluster-guided Contrastive Class-imbalanced Graph Classification.

Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Jianhao Shen, Ziyue Qiao, Ming Zhang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

GALA: Graph Diffusion-Based Alignment With Jigsaw for Source-Free Domain Adaptation.

Junyu Luo, Yiyang Gu, Xiao Luo, Wei Ju, Zhiping Xiao, Yusheng Zhao, Jingyang Yuan, Ming Zhang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Ideology Analysis for Social-Media Users via Multi-Modal Data Mining

Zhiping Xiao

PhD thesis, 2024

Focus on informative graphs! Semi-supervised active learning for graph-level classification.

Wei Ju, Zhengyang Mao, Ziyue Qiao, Yifang Qin, Siyu Yi, Zhiping Xiao, Xiao Luo, Yanjie Fu, Ming Zhang

Pattern Recognit., 2024

A Comprehensive Survey on Deep Graph Representation Learning.

Wei Ju, Zheng Fang, Yiyang Gu, Zequn Liu, Qingqing Long, Ziyue Qiao, Yifang Qin, Jianhao Shen, Fang Sun, Zhiping Xiao, Junwei Yang, Jingyang Yuan, Yusheng Zhao, Yifan Wang, Xiao Luo, Ming Zhang

Neural Networks, 2024

Poisoning medical knowledge using large language models.

Junwei Yang, Hanwen Xu, Srbuhi Mirzoyan, Tong Chen, Zixuan Liu, Zequn Liu, Wei Ju, Luchen Liu, Zhiping Xiao, Ming Zhang, Sheng Wang

Nat. Mac. Intell., 2024

A bioactivity foundation model using pairwise meta-learning.

Bin Feng, Zequn Liu, Nan-Lan Huang, Zhiping Xiao, Haomiao Zhang, Srbuhi Mirzoyan, Hanwen Xu, Jiaran Hao, Yinghui Xu, Ming Zhang, Sheng Wang

Nat. Mac. Intell., 2024

COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting.

Wei Ju, Yusheng Zhao, Yifang Qin, Siyu Yi, Jingyang Yuan, Zhiping Xiao, Xiao Luo, Xiting Yan, Ming Zhang

Inf. Fusion, 2024

DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation.

Hourun Li, Yifan Wang, Zhiping Xiao, Jia Yang, Changling Zhou, Ming Zhang, Wei Ju

CoRR, 2024

RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response.

Junyu Luo, Xiao Luo, Kaize Ding, Jingyang Yuan, Zhiping Xiao, Ming Zhang

CoRR, 2024

SemiEvol: Semi-supervised Fine-tuning for LLM Adaptation.

Junyu Luo, Xiao Luo, Xiusi Chen, Zhiping Xiao, Wei Ju, Ming Zhang

CoRR, 2024

Towards Graph Contrastive Learning: A Survey and Beyond.

Wei Ju, Yifan Wang, Yifang Qin, Zhengyang Mao, Zhiping Xiao, Junyu Luo, Junwei Yang, Yiyang Gu, Dongjie Wang, Qingqing Long, Siyu Yi, Xiao Luo, Ming Zhang

CoRR, 2024

A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges.

Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Zhengyang Mao, Hourun Li, Yiyang Gu, Yifang Qin, Nan Yin, Senzhang Wang, Xinwang Liu, Xiao Luo, Philip S. Yu, Ming Zhang

CoRR, 2024

PolyCF: Towards the Optimal Spectral Graph Filters for Collaborative Filtering.

Yifang Qin, Wei Ju, Xiao Luo, Yiyang Gu, Zhiping Xiao, Ming Zhang

CoRR, 2024

A Survey on Graph Neural Networks in Intelligent Transportation Systems.

Hourun Li, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Zhiping Xiao, Jiaqi Feng, Yiyang Gu, Wei Ju, Xiao Luo, Ming Zhang

CoRR, 2024

Fast Inference of Removal-Based Node Influence.

Weikai Li, Zhiping Xiao, Xiao Luo, Yizhou Sun

Proceedings of the ACM on Web Conference 2024, 2024

EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics.

Jingyang Yuan, Gongbo Sun, Zhiping Xiao, Hang Zhou, Xiao Luo, Junyu Luo, Yusheng Zhao, Wei Ju, Ming Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Do We Trust What They Say or What They Do? A Multimodal User Embedding Provides Personalized Explanations.

Zhicheng Ren, Zhiping Xiao, Yizhou Sun

Proceedings of the 1st Workshop on Multimodal Search and Recommendations (MMSR 2024) co-located with 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024), 2024

A Survey of Data-Efficient Graph Learning.

Wei Ju, Siyu Yi, Yifan Wang, Qingqing Long, Junyu Luo, Zhiping Xiao, Ming Zhang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Rank and Align: Towards Effective Source-free Graph Domain Adaptation.

Junyu Luo, Zhiping Xiao, Yifan Wang, Xiao Luo, Jingyang Yuan, Wei Ju, Langechuan Liu, Ming Zhang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Hypergraph-enhanced Dual Semi-supervised Graph Classification.

Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Yifan Wang, Xiao Luo, Ming Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

PGODE: Towards High-quality System Dynamics Modeling.

Xiao Luo, Yiyang Gu, Huiyu Jiang, Hang Zhou, Jinsheng Huang, Wei Ju, Zhiping Xiao, Ming Zhang, Yizhou Sun

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Detecting political biases of named entities and hashtags on Twitter.

Zhiping Xiao, Jeffrey Zhu, Yining Wang, Pei Zhou, Wen Hong Lam, Mason A. Porter, Yizhou Sun

EPJ Data Sci., December, 2023

A Comprehensive Survey on Deep Graph Representation Learning.

Wei Ju, Zheng Fang, Yiyang Gu, Zequn Liu, Qingqing Long, Ziyue Qiao, Yifang Qin, Jianhao Shen, Fang Sun, Zhiping Xiao, Junwei Yang, Jingyang Yuan, Yusheng Zhao, Xiao Luo, Ming Zhang

CoRR, 2023

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

Session-Based Social Recommendation via Dynamic Graph Attention Networks.

Weiping Song, Zhiping Xiao, Yifan Wang, Laurent Charlin, Ming Zhang, Jian Tang

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks.

Weiping Song, Chence Shi, Zhiping Xiao, Zhijian Duan, Yewen Xu, Ming Zhang, Jian Tang

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

AutoQuiz: A Personalized, Adaptive, Test Practice System (Abstract Only).

Zhiping Xiao, Siqi Li, Zachary A. Pardos

Proceedings of the 49th ACM Technical Symposium on Computer Science Education, 2018

2016

Skolem Sequence Based Self-Adaptive Broadcast Protocol in Cognitive Radio Networks.

Lin Chen, Zhiping Xiao, Kaigui Bian, Shuyu Shi, Rui Li, Yusheng Ji

Proceedings of the IEEE 83rd Vehicular Technology Conference, 2016

Game Development for Computer Science Education.

Chris Johnson, Monica McGill, Durell Bouchard, Michael K. Bradshaw, Víctor A. Bucheli, Laurence D. Merkle, Michael James Scott, Elizabeth Sweedyk, Jesus Ángel Velázquez-Iturbide, Zhiping Xiao, Ming Zhang

Proceedings of the 2016 ITiCSE Working Group Reports, 2016