We stand with Ukraine

We stand with Ukraine

Zhiping Xiao

Orcid: 0000-0002-8583-4789

Affiliations:

University of Washington, Seattle, WA, USA
University of California, Los Angeles, CA, USA
Peking University, China (former)

According to our database¹, Zhiping Xiao authored at least 76 papers between 2016 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Links

Online presence:

On csauthors.net:

Bibliography

2026

Interests Burn-down Diffusion Process for Personalized Collaborative Filtering.

[DOI]

,

,

,

,

,

CoRR, May, 2026

Robust Cross Supervision With Target Mining for Source-Free Graph Domain Adaptation.

[DOI]

,

,

,

,

,

,

,

,

,

IEEE Trans. Knowl. Data Eng., April, 2026

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

[DOI]

,

,

,

,

,

,

,

,

,

,

,

,

IEEE Trans. Pattern Anal. Mach. Intell., March, 2026

TowerDNA: Fast and Accurate Graph Retrieval With Dividing, Contrasting and Alignment.

[DOI]

,

,

,

,

,

,

,

,

IEEE Trans. Knowl. Data Eng., February, 2026

SPOT: Spectral Optimal Transport for Graph Domain Generalization.

[DOI]

,

,

,

,

,

,

,

ACM Trans. Knowl. Discov. Data, January, 2026

Identifying and Correcting Label Noise for Robust GNNs via Influence Contradiction.

[DOI]

,

,

,

,

,

,

,

,

CoRR, January, 2026

DREAM: Dual-Standard Semantic Homogeneity with Dynamic Optimization for Graph Learning with Label Noise.

[DOI]

,

,

,

,

,

,

,

CoRR, January, 2026

DEER: Distribution Divergence-Based Graph Contrast for Partial Label Learning on Graphs.

[DOI]

,

,

,

,

,

,

,

,

,

,

IEEE Trans. Multim., 2026

ZipAct: Zipping Interaction History into a Compact State for Efficient LLM Agents.

[DOI]

,

,

,

,

,

Trans. Mach. Learn. Res., 2026

KEGOD: Kernel-enhanced Latent Substructure Learning for Graph Out-Of-Distribution Detection.

[DOI]

,

,

,

,

,

,

,

,

Proceedings of the ACM Web Conference 2026, 2026

Space-based Parameter Evolving with Lightweight Optimization for Graph Adaptation to Evolving Shifts.

[DOI]

,

,

,

,

,

,

Proceedings of the ACM Web Conference 2026, 2026

Long-Tailed Recognition of Evidential Experts for Graph-level Classification.

[DOI]

,

,

,

,

,

,

,

,

Proceedings of the ACM Web Conference 2026, 2026

SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models.

[DOI]

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

CogniTrust: Cognitive Memory-Driven Verifiable Supervision for Robust Hashing.

[DOI]

,

,

,

,

,

,

,

,

,

,

,

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

PolyCF: Towards Optimal Spectral Graph Filters for Collaborative Filtering.

[DOI]

,

,

,

,

,

ACM Trans. Inf. Syst., July, 2025

FMC: Formalization of Natural Language Mathematical Competition Problems.

[DOI]

,

,

,

,

,

CoRR, July, 2025

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

[DOI]

,

,

,

,

,

,

,

CoRR, May, 2025

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

[DOI]

,

,

,

,

,

,

CoRR, May, 2025

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

[DOI]

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

CoRR, March, 2025

A Social Dynamical System for Twitter Analysis.

[DOI]

,

,

,

,

Mason A. Porter

,

CoRR, March, 2025

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

[DOI]

,

,

,

,

,

,

,

,

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

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

[DOI]

,

,

,

,

,

,

,

,

,

,

,

,

,

,

CoRR, February, 2025

Learning Generalizable Contrastive Representations for Graph Zero-Shot Learning.

[DOI]

,

,

,

,

,

,

,

,

,

IEEE Trans. Multim., 2025

Hypergraph Consistency Learning With Relational Distillation.

[DOI]

,

,

,

,

,

,

,

,

IEEE Trans. Multim., 2025

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

[DOI]

,

,

,

,

,

,

,

IEEE Trans. Image Process., 2025

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

[DOI]

,

,

,

,

,

,

Inf. Sci., 2025

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

[DOI]

,

,

,

,

,

,

,

,

Artif. Intell., 2025

Dynamic Bundling with Large Language Models for Zero-Shot Inference on Text-Attributed Graphs.

[DOI]

,

,

,

,

,

,

,

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Semi-supervised Fine-tuning for Large Language Models.

[DOI]

,

,

,

,

,

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.

[DOI]

,

,

,

,

,

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

CODE: Towards Partial Label Graph Learning via Coupled Dual Separation.

[DOI]

,

,

,

,

,

,

,

,

,

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

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

[DOI]

,

,

,

,

,

,

,

,

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

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

[DOI]

,

,

,

,

,

,

,

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Test-time Adaptation on Graphs via Adaptive Subgraph-based Selection and Regularized Prototypes.

[DOI]

,

,

,

,

,

,

Proceedings of the Forty-second International Conference on Machine Learning, 2025

DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning.

[DOI]

,

,

,

,

,

,

,

,

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

[DOI]

,

,

,

,

,

,

,

,

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

[DOI]

,

,

,

,

,

,

,

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

[DOI]

,

,

,

,

,

,

,

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

HEAL: Hybrid Enhancement with LLM-based Agents for Text-attributed Hypergraph Self-supervised Representation Learning.

[DOI]

,

,

,

,

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

Embracing Large Language Models in Traffic Flow Forecasting.

[DOI]

,

,

,

,

,

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

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

[DOI]

,

,

,

,

,

,

,

,

,

,

,

,

,

,

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.

[DOI]

,

,

,

,

,

,

,

,

,

,

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.

[DOI]

,

,

,

,

,

,

,

,

,

,

,

,

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.

[DOI]

,

,

,

,

,

,

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Attention Bootstrapping for Multi-Modal Test-Time Adaptation.

[DOI]

,

,

,

,

,

,

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

[DOI]

,

,

,

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

[DOI]

,

,

,

,

,

,

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Cluster-guided Contrastive Class-imbalanced Graph Classification.

[DOI]

,

,

,

,

,

,

,

,

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

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

[DOI]

,

,

,

,

,

,

,

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

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

[DOI]

PhD thesis, 2024

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

[DOI]

,

,

,

,

,

,

,

,

Pattern Recognit., 2024

A Comprehensive Survey on Deep Graph Representation Learning.

[DOI]

,

,

,

,

,

,

,

,

,

,

,

,

,

,

,

Neural Networks, 2024

Poisoning medical knowledge using large language models.

[DOI]

,

,

Srbuhi Mirzoyan

,

,

,

,

,

,

,

,

Nat. Mac. Intell., 2024

A bioactivity foundation model using pairwise meta-learning.

[DOI]

,

,

,

,

,

Srbuhi Mirzoyan

,

,

,

,

,

Nat. Mac. Intell., 2024

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

[DOI]

,

,

,

,

,

,

,

,

Inf. Fusion, 2024

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

[DOI]

,

,

,

,

,

CoRR, 2024

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

[DOI]

,

,

,

,

,

CoRR, 2024

Towards Graph Contrastive Learning: A Survey and Beyond.

[DOI]

,

,

,

,

,

,

,

,

,

,

,

,

CoRR, 2024

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

[DOI]

,

,

,

,

,

,

,

,

,

,

,

,

,

CoRR, 2024

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

[DOI]

,

,

,

,

,

CoRR, 2024

A Survey on Graph Neural Networks in Intelligent Transportation Systems.

[DOI]

,

,

,

,

,

,

,

,

,

CoRR, 2024

Fast Inference of Removal-Based Node Influence.

[DOI]

,

,

,

Proceedings of the ACM on Web Conference 2024, 2024

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

[DOI]

,

,

,

,

,

,

,

,

Proceedings of the Advances in Neural Information Processing Systems 37: 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.

[DOI]

,

,

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.

[DOI]

,

,

,

,

,

,

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

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

[DOI]

,

,

,

,

,

,

,

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

Hypergraph-enhanced Dual Semi-supervised Graph Classification.

[DOI]

,

,

,

,

,

,

,

,

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

PGODE: Towards High-quality System Dynamics Modeling.

[DOI]

,

,

,

,

,

,

,

,

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

2023

Detecting political biases of named entities and hashtags on Twitter.

[DOI]

,

,

,

,

,

Mason A. Porter

,

EPJ Data Sci., December, 2023

A Comprehensive Survey on Deep Graph Representation Learning.

[DOI]

,

,

,

,

,

,

,

,

,

,

,

,

,

,

CoRR, 2023

2020

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

[DOI]

,

,

,

,

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.

[DOI]

,

,

,

Laurent Charlin

,

,

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

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

[DOI]

,

,

,

,

,

,

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

2018

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

[DOI]

,

,

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.

[DOI]

,

,

,

,

,

Proceedings of the IEEE 83rd Vehicular Technology Conference, 2016

Game Development for Computer Science Education.

[DOI]

,

,

Durell Bouchard

,

Michael K. Bradshaw

,

Víctor A. Bucheli

,

Laurence D. Merkle

,

Michael James Scott

,

Elizabeth Sweedyk

,

Jesus Ángel Velázquez-Iturbide

,

,

Proceedings of the 2016 ITiCSE Working Group Reports, 2016

Loading...