Xiao Luo

Orcid: 0000-0001-9807-0725

Affiliations:

University of Wisconsin-Madison, WI, USA
University of California Los Angeles, Department of Computer Science, CA, USA (former)
Peking University, Beijing, China (former)

According to our database¹, Xiao Luo authored at least 196 papers between 2020 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

HGOOD-D: Hyperbolic Hierarchical Exploration for Graph Out-of-Distribution Detection.

[BibT_eX]

[DOI]

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

From Snapshots to Trajectories: Learning Single-Cell Gene Expression Dynamics via Conditional Flow Matching.

[BibT_eX]

[DOI]

CoRR, May, 2026

PG-LRF: Physiology-Guided Latent Rectified Flow for Electro-Hemodynamic PPG-to-ECG Generation.

[BibT_eX]

[DOI]

CoRR, May, 2026

Adapting Graph Models via Target Integrity Assessment and Source Distribution Hypothesis.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., April, 2026

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

[BibT_eX]

[DOI]

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

Easy Samples Are All You Need: Self-Evolving LLMs via Data-Efficient Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, April, 2026

A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and Solutions.

[BibT_eX]

[DOI]

CoRR, April, 2026

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

[BibT_eX]

[DOI]

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

Robust and Efficient Tool Orchestration via Layered Execution Structures with Reflective Correction.

[BibT_eX]

[DOI]

CoRR, February, 2026

SPOT: Spectral Optimal Transport for Graph Domain Generalization.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

CoRR, January, 2026

DeepEra: A Deep Evidence Reranking Agent for Scientific Retrieval-Augmented Generated Question Answering.

[BibT_eX]

[DOI]

CoRR, January, 2026

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

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2026

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

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2026

Embeddings from language models are good learners for single-cell data analysis.

[BibT_eX]

[DOI]

Patterns, 2026

Out-of-distribution generalization enhances protein function annotation for low-homology sequences.

[BibT_eX]

[DOI]

Briefings Bioinform., 2026

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

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

Graph Cross-Domain Continual Fine-Tuning via Orthogonal LoRA Routing with Contrastive Expert Specialization.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

CB-CV: A Cluster-Based Cross-Validation Benchmark for Multimodal Video Out-of-Distribution Detection.

[BibT_eX]

[DOI]

Ji Zhang

Xiao Luo

Hang Zhou

Proceedings of the 2026 International Conference on Multimedia Retrieval, 2026

DisCo: Diffusion-guided Unbiased Discriminative Learning for Unsupervised Graph Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Dual Data-centric Separation with Circular Mixup for Noise-resistant Time Series Learning.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and Solutions.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[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.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Accelerating Time Series Foundation Models with Speculative Decoding.

[BibT_eX]

[DOI]

CoRR, November, 2025

Simulator and Experience Enhanced Diffusion Model for Comprehensive ECG Generation.

[BibT_eX]

[DOI]

CoRR, November, 2025

Spatiotemporal Forecasting as Planning: A Model-Based Reinforcement Learning Approach with Generative World Models.

[BibT_eX]

[DOI]

CoRR, October, 2025

PRISM-Physics: Causal DAG-Based Process Evaluation for Physics Reasoning.

[BibT_eX]

[DOI]

CoRR, October, 2025

POLO: Preference-Guided Multi-Turn Reinforcement Learning for Lead Optimization.

[BibT_eX]

[DOI]

CoRR, September, 2025

SciRerankBench: Benchmarking Rerankers Towards Scientific Retrieval-Augmented Generated LLMs.

[BibT_eX]

[DOI]

CoRR, August, 2025

Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs.

[BibT_eX]

[DOI]

CoRR, July, 2025

From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents.

[BibT_eX]

[DOI]

CoRR, June, 2025

FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion.

[BibT_eX]

[DOI]

CoRR, June, 2025

Out-of-Distribution Graph Models Merging.

[BibT_eX]

[DOI]

CoRR, June, 2025

DisenSemi: Semi-Supervised Graph Classification via Disentangled Representation Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., May, 2025

FD-Bench: A Modular and Fair Benchmark for Data-driven Fluid Simulation.

[BibT_eX]

[DOI]

CoRR, May, 2025

MLLM-Guided VLM Fine-Tuning with Joint Inference for Zero-Shot Composed Image Retrieval.

[BibT_eX]

[DOI]

CoRR, May, 2025

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

[BibT_eX]

[DOI]

CoRR, May, 2025

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

[BibT_eX]

[DOI]

CoRR, May, 2025

Towards Artificial Intelligence Research Assistant for Expert-Involved Learning.

[BibT_eX]

[DOI]

CoRR, May, 2025

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

[BibT_eX]

[DOI]

CoRR, March, 2025

Iterative Feature Space Optimization through Incremental Adaptive Evaluation.

[BibT_eX]

[DOI]

CoRR, January, 2025

DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2025

Graph Fourier Neural ODEs: Modeling Spatial-temporal Multi-scales in Molecular Dynamics.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2025

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

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2025

MHGC: Multi-scale hard sample mining for contrastive deep graph clustering.

[BibT_eX]

[DOI]

Inf. Process. Manag., 2025

GPS: graph contrastive learning via multi-scale augmented views from adversarial pooling.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2025

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

[BibT_eX]

[DOI]

Artif. Intell., 2025

Learning Resistant Binary Descriptors Against Noise for Efficient Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

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

[BibT_eX]

[DOI]

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

Flow Field Reconstruction with Sensor Placement Policy Learning.

[BibT_eX]

[DOI]

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

SPAZER: Spatial-Semantic Progressive Reasoning Agent for Zero-shot 3D Visual Grounding.

[BibT_eX]

[DOI]

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

Fourier Clouds: Fast Bias Correction for Imbalanced Semi-Supervised Learning.

[BibT_eX]

[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.

[BibT_eX]

[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.

[BibT_eX]

[DOI]

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

Marrying LLMs with Dynamic Forecasting: A Graph Mixture-of-expert Perspective.

[BibT_eX]

[DOI]

Dapeng Jiang

Xiao Luo

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

DATE: Dual Prompt Learning with Information Bottleneck for Graph Out-of-Distribution Generalization.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

NeuBM: Mitigating Model Bias in Graph Neural Networks Through Neutral Input Calibration.

[BibT_eX]

[DOI]

Jiawei Gu

Ziyue Qiao

Xiao Luo

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

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

[BibT_eX]

[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.

[BibT_eX]

[DOI]

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

Rethink GraphODE Generalization within Coupled Dynamical System.

[BibT_eX]

[DOI]

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

GCAL: Adapting Graph Models to Evolving Domain Shifts.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Towards Continuous Reuse of Graph Models via Holistic Memory Diversification.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

[BibT_eX]

[DOI]

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

Protein Large Language Models: A Comprehensive Survey.

[BibT_eX]

[DOI]

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

LEAF: Large Language Diffusion Model for Time Series Forecasting.

[BibT_eX]

[DOI]

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

How Do Large Language Models Perform on PDE Discovery: A Coarse-to-fine Perspective.

[BibT_eX]

[DOI]

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

A Survey of RAG-Reasoning Systems in Large Language Models.

[BibT_eX]

[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.

[BibT_eX]

[DOI]

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

Adaptive Context-Infused Performance Evaluator for Iterative Feature Space Optimization.

[BibT_eX]

[DOI]

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Conditional Neural ODE for Longitudinal Parkinson's Disease Progression Forecasting.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Embracing Large Language Models in Traffic Flow Forecasting.

[BibT_eX]

[DOI]

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

scRAG: Hybrid Retrieval-Augmented Generation for LLM-based Cross-Tissue Single-Cell Annotation.

[BibT_eX]

[DOI]

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

Identifying Cellular Niches in Spatial Transcriptomics: An Investigation into the Capabilities of Large Language Models.

[BibT_eX]

[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.

[BibT_eX]

[DOI]

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

MARK: Multi-agent Collaboration with Ranking Guidance for Text-attributed Graph Clustering.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[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.

[BibT_eX]

[DOI]

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

Attention Bootstrapping for Multi-Modal Test-Time Adaptation.

[BibT_eX]

[DOI]

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

DREAM: Decoupled Discriminative Learning with Bigraph-aware Alignment for Semi-supervised 2D-3D Cross-modal Retrieval.

[BibT_eX]

[DOI]

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

2024

Redundancy-Free Self-Supervised Relational Learning for Graph Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., December, 2024

Look Into Gradients: Learning Compact Hash Codes for Out-of-Distribution Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2024

HOPE: A Hierarchical Perspective for Semi-Supervised 2D-3D Cross-Modal Retrieval.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

SPORT: A Subgraph Perspective on Graph Classification with Label Noise.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, November, 2024

Learning Graph ODE for Continuous-Time Sequential Recommendation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., July, 2024

HARR: Learning Discriminative and High-Quality Hash Codes for Image Retrieval.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., May, 2024

DIOR: Learning to Hash With Label Noise Via Dual Partition and Contrastive Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., April, 2024

Messages are Never Propagated Alone: Collaborative Hypergraph Neural Network for Time-Series Forecasting.

[BibT_eX]

[DOI]

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

Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., March, 2024

A Diffusion Model for POI Recommendation.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., March, 2024

Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, February, 2024

CLEAR: Cluster-Enhanced Contrast for Self-Supervised Graph Representation Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., January, 2024

Towards Semi-Supervised Universal Graph Classification.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., January, 2024

Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, January, 2024

Discrepancy and Structure-Based Contrast for Test-Time Adaptive Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

FATE: Learning Effective Binary Descriptors With Group Fairness.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2024

ROSE: Relational and Prototypical Structure Learning for Universal Domain Adaptive Hashing.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2024

Information filtering and interpolating for semi-supervised graph domain adaptation.

[BibT_eX]

[DOI]

Pattern Recognit., 2024

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

[BibT_eX]

[DOI]

Pattern Recognit., 2024

A Comprehensive Survey on Deep Graph Representation Learning.

[BibT_eX]

[DOI]

Neural Networks, 2024

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

[BibT_eX]

[DOI]

Inf. Fusion, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Graph Fourier Neural ODEs: Bridging Spatial and Temporal Multiscales in Molecular Dynamics.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2024

Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey.

[BibT_eX]

[DOI]

CoRR, 2024

A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability.

[BibT_eX]

[DOI]

CoRR, 2024

Towards Graph Contrastive Learning: A Survey and Beyond.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

COMAE: COMprehensive Attribute Exploration for Zero-shot Hashing.

[BibT_eX]

[DOI]

CoRR, 2024

An Evaluation of Large Language Models in Bioinformatics Research.

[BibT_eX]

[DOI]

Hengchuang Yin

Zhonghui Gu

Fanhao Wang

Yiparemu Abuduhaibaier

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

A Survey on Graph Neural Networks in Intelligent Transportation Systems.

[BibT_eX]

[DOI]

CoRR, 2024

Fast Inference of Removal-Based Node Influence.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

Semi-supervised Knowledge Transfer Across Multi-omic Single-cell Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

PURE: Prompt Evolution with Graph ODE for Out-of-distribution Fluid Dynamics Modeling.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

DEMO: A Statistical Perspective for Efficient Image-Text Matching.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

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

[BibT_eX]

[DOI]

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

Prometheus: Out-of-distribution Fluid Dynamics Modeling with Disentangled Graph ODE.

[BibT_eX]

[DOI]

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

Hypergraph-enhanced Dual Semi-supervised Graph Classification.

[BibT_eX]

[DOI]

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

PGODE: Towards High-quality System Dynamics Modeling.

[BibT_eX]

[DOI]

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

DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Multi- View Teacher with Curriculum Data Fusion for Robust Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Large Language Models Can Be Contextual Privacy Protection Learners.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Geneverse: A Collection of Open-source Multimodal Large Language Models for Genomic and Proteomic Research.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Fine-grained Prototypical Voting with Heterogeneous Mixup for Semi-supervised 2D-3D Cross-modal Retrieval.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

PIXEL: Prompt-based Zero-shot Hashing via Visual and Textual Semantic Alignment.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

LION: Implicit Vision Prompt Tuning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

OMG: Towards Effective Graph Classification Against Label Noise.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2023

Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, December, 2023

A Survey on Deep Hashing Methods.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, January, 2023

Unsupervised graph-level representation learning with hierarchical contrasts.

[BibT_eX]

[DOI]

Neural Networks, January, 2023

Zero-shot Node Classification with Graph Contrastive Embedding Network.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

RIGNN: A Rationale Perspective for Semi-supervised Open-world Graph Classification.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Toward Effective Domain Adaptive Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

Few-shot Molecular Property Prediction via Hierarchically Structured Learning on Relation Graphs.

[BibT_eX]

[DOI]

Neural Networks, 2023

Graph ODE with Factorized Prototypes for Modeling Complicated Interacting Dynamics.

[BibT_eX]

[DOI]

CoRR, 2023

TANGO: Time-Reversal Latent GraphODE for Multi-Agent Dynamical Systems.

[BibT_eX]

[DOI]

CoRR, 2023

Large Language Models Can Be Good Privacy Protection Learners.

[BibT_eX]

[DOI]

CoRR, 2023

PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

Mode Approximation Makes Good Multimodal Prompts.

[BibT_eX]

[DOI]

CoRR, 2023

A Comprehensive Survey on Deep Graph Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2023

LION: Implicit Vision Prompt Tuning.

[BibT_eX]

[DOI]

CoRR, 2023

Hierarchical graph transformer with contrastive learning for protein function prediction.

[BibT_eX]

[DOI]

Bioinform., 2023

DANCE: Learning A Domain Adaptive Framework for Deep Hashing.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Parameter-efficient Tuning of Large-scale Multimodal Foundation Model.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ALEX: Towards Effective Graph Transfer Learning with Noisy Labels.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Semi-supervised Domain Adaptation in Graph Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

HOPE: High-order Graph ODE For Modeling Interacting Dynamics.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Prototypical Mixing and Retrieval-based Refinement for Label Noise-resistant Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning on Graphs under Label Noise.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

GLCC: A General Framework for Graph-Level Clustering.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Improve Deep Unsupervised Hashing via Structural and Intrinsic Similarity Learning.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2022

GHNN: Graph Harmonic Neural Networks for semi-supervised graph-level classification.

[BibT_eX]

[DOI]

Neural Networks, 2022

Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DEAL: An Unsupervised Domain Adaptive Framework for Graph-level Classification.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

HEART: Towards Effective Hash Codes under Label Noise.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Improved Deep Unsupervised Hashing via Prototypical Learning.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Pursuing Knowledge Consistency: Supervised Hierarchical Contrastive Learning for Facial Action Unit Recognition.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Adaptive Harmony Learning and Optimization for Attributed Graph Clustering.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

Improved Deep Unsupervised Hashing with Fine-grained Semantic Similarity Mining for Multi-Label Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

TGNN: A Joint Semi-supervised Framework for Graph-level Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Kernel-based Substructure Exploration for Next POI Recommendation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

Dynamic Hypergraph Convolutional Network.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

DualGraph: Improving Semi-supervised Graph Classification via Dual Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Attention-based Adversarial Partial Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

DHWP: Learning High-Quality Short Hash Codes Via Weight Pruning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation.

[BibT_eX]

[DOI]

CoRR, 2021

A Statistical Approach to Mining Semantic Similarity for Deep Unsupervised Hashing.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

ARGO: Modeling Heterogeneity in E-commerce Recommendation.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

CIMON: Towards High-quality Hash Codes.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

An Interpretation of Convolutional Neural Networks for Motif Finding from the View of Probability.

[BibT_eX]

[DOI]

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Concordant Contrastive Learning for Semi-supervised Node Classification on Graph.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Deep Supervised Hashing by Classification for Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Average Mean Functions Based EM Algorithm for Mixtures of Gaussian Processes.

[BibT_eX]

[DOI]

Tao Li

Xiao Luo

Jinwen Ma

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Deep Unsupervised Hashing by Global and Local Consistency.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Deep Unsupervised Hashing by Distilled Smooth Guidance.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

DNA-GCN: Graph Convolutional Networks for Predicting DNA-Protein Binding.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2021

Composition-Enhanced Graph Collaborative Filtering for Multi-behavior Recommendation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

CIMON: Towards High-quality Hash Codes.

[BibT_eX]

[DOI]

CoRR, 2020

A Survey on Deep Hashing Methods.

[BibT_eX]

[DOI]

CoRR, 2020

Expectation pooling: an effective and interpretable pooling method for predicting DNA-protein binding.

[BibT_eX]

[DOI]

Bioinform., 2020

Xiao Luo

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