Zhiping Xiao
25 papers · 2024–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π Interdisciplinary Bridge Β· Gold πΊοΈ Taxonomy Completionist (65) π Conference Polyglot Β· Silver π¬ Deep Specialist (11) π€ Dynamic Duo (25)
π
Grand Slam
ποΈ
Keyword Collector
(146)
β‘
Prolific Year Β· Prolific
π
Renaissance Researcher
(8)
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(21)
Deep Learning
(20)
Artificial Intelligence
(18)
Core AI
(15)
Architectures
(13)
Learning Types Β· Machine Learning
(13)
Application Areas
(10)
Core Methods
(7)
Learning Types Β· Deep Learning
(7)
Learning Paradigms
(5)
Models
(5)
Data Science & Analytics
(4)
Applications
(4)
Optimization & Theory
(3)
Natural Language Processing
(2)
Keywords
graph neural network
(10)
large language model
(6)
self-supervised learning
(3)
graph classification
(2)
adversarial learning
(2)
contrastive learning
(2)
distribution shift
(2)
domain shift
(2)
attention mechanism
(2)
multimodal large language model
(2)
variational inference
(2)
domain adaptation
(2)
test-time adaptation
(2)
entropy minimization
(1)
semi-supervised learning
(1)
spectral clustering
(1)
prompt engineering
(1)
domain generalization
(1)
benchmark evaluation
(1)
source-free domain adaptation
(1)
Papers
CogniTrust: Cognitive Memory-Driven Verifiable Supervision for Robust Hashing
AAAI 2026
SciCustom: A Framework for Custom Evaluation of Scientific Capabilities in Large Language Models
ACL 2026
A Survey on Efficient Large Language Model Training: From Data-centric Perspectives
ACL 2025
Attention Bootstrapping for Multi-Modal Test-Time Adaptation
AAAI 2025
Cluster-guided Contrastive Class-imbalanced Graph Classification
AAAI 2025
DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning
ICML 2025
DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation
AAAI 2025
Embracing Large Language Models in Traffic Flow Forecasting
ACL 2025
ExLM: Rethinking the Impact of $\texttt[MASK]$ Tokens in Masked Language Models
ICML 2025
FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation
ACL 2025
GeoMamba: Towards Multi-granular POI Recommendation with Geographical State Space Model
AAAI 2025
HEAL: Hybrid Enhancement with LLM-based Agents for Text-attributed Hypergraph Self-supervised Representation Learning
EMNLP 2025
How Do Large Language Models Perform in Dynamical System Modeling
NAACL 2025
Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness
EMNLP 2025
Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention
ACL 2025
Semi-supervised Fine-tuning for Large Language Models
NAACL 2025
SMI-Editor: Edit-based SMILES Language Model with Fragment-level Supervision
ICLR 2025
Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation
ICML 2025
Test-time Adaptation on Graphs via Adaptive Subgraph-based Selection and Regularized Prototypes
ICML 2025
TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs
AAAI 2025
A Survey of Data-Efficient Graph Learning
IJCAI 2024
EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics
NeurIPS 2024
Hypergraph-enhanced Dual Semi-supervised Graph Classification
ICML 2024
PGODE: Towards High-quality System Dynamics Modeling
ICML 2024
Rank and Align: Towards Effective Source-free Graph Domain Adaptation
IJCAI 2024