Ming Li
180 papers · 2010–2026 · 20 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 37 separate collaboration groups - the largest holds only 21% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Ming Li?
12 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Lu Bai, Lixin Cui, Feilong Cao
30 papers
· 2020–2026
· AAAI, ICML, IJCAI
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Heterophily-aware Contrastive Learning for Heterophilic Hypergraphs
AAAI 2026
High-Pass Matters: Theoretical Insights and Sheaflet-Based Design for Hypergraph Neural Networks
AAAI 2026
HyperAim: Hypergraph Contrastive Learning with Adaptive Multi-frequency Filters
AAAI 2026
HyperGOOD: Towards Out-of-Distribution Detection in Hypergraphs
AAAI 2026
HyperNoRA: Hyperedge Prediction via Node-Level Relation-Aware Self-Supervised Hypergraph Learning
AAAI 2026
Multi-Granular Graph Learning with Fine-Grained Behavioral Pattern Awareness for Session-Based Recommendation
AAAI 2026
Permutation Equivariant Framelet-based Hypergraph Neural Networks
AAAI 2026
SSHPool: The Separated Subgraph-based Hierarchical Pooling
AAAI 2026
Self-Supervised Hypergraph Learning with Substructure Awareness for Hyperedge Prediction
AAAI 2026
AKBR: Learning Adaptive Kernel-based Representations for Graph Classification
IJCAI 2025
All Roads Lead to Rome: Exploring Edge Distribution Shifts for Heterophilic Graph Learning
IJCAI 2025
An End-to-End Simple Clustering Hierarchical Pooling Operation for Graph Learning Based on Top-K Node Selection
IJCAI 2025
DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification
AAAI 2025
DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classification
IJCAI 2025
Deep Hypergraph Neural Networks with Tight Framelets
AAAI 2025
ENAHPool: The Edge-Node Attention-based Hierarchical Pooling for Graph Neural Networks
ICML 2025
EduLLM: Leveraging Large Language Models and Framelet-Based Signed Hypergraph Neural Networks for Student Performance Prediction
ICML 2025
Exploring the Over-smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-based Viewpoint
IJCAI 2025
HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks for Graph Classification
IJCAI 2025
HyperNear: Unnoticeable Node Injection Attacks on Hypergraph Neural Networks
ICML 2025
MATCH: Modality-Calibrated Hypergraph Fusion Network for Conversational Emotion Recognition
IJCAI 2025
ML-GOOD: Towards Multi-Label Graph Out-Of-Distribution Detection
AAAI 2025
When Hypergraph Meets Heterophily: New Benchmark Datasets and Baseline
AAAI 2025
HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning
NeurIPS 2024
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing
ICML 2024
QBMK: Quantum-based Matching Kernels for Un-attributed Graphs
ICML 2024
How Powerful are Shallow Neural Networks with Bandlimited Random Weights?
ICML 2023
How Framelets Enhance Graph Neural Networks
ICML 2021
Haar Graph Pooling
ICML 2020
Path Integral Based Convolution and Pooling for Graph Neural Networks
NeurIPS 2020
25 papers whose co-authors appear nowhere else under this name
Amplifying Discrepancies: Exploiting Macro and Micro Inconsistencies for Image Manipulation Localization
AAAI 2026
AnomalyPainter: Vision-Language-Diffusion Synergy for Realistic and Diverse Unseen Industrial Anomaly Synthesis
AAAI 2026
CP-FREEZER: Latency Attacks Against Vehicular Cooperative Perception
AAAI 2026
I²B-LPO: Latent Policy Optimization via Iterative Information Bottleneck
ACL 2026
ADFormer: Aggregation Differential Transformer for Passenger Demand Forecasting
IJCAI 2025
ProJudge: A Multi-Modal Multi-Discipline Benchmark and Instruction-Tuning Dataset for MLLM-based Process Judges
ICCV 2025
Slice-and-Pack: Tailoring Deep Models for Customized Requirements
AAAI 2025
Test-Time Graph Neural Dataset Search With Generative Projection
ICML 2025
Text2World: Benchmarking Large Language Models for Symbolic World Model Generation
ACL 2025
Long-range Brain Graph Transformer
NeurIPS 2024
Revolutionize the Oceanic Drone RGB Imagery With Pioneering Sun Glint Detection and Removal Techniques
WACV 2024
Class Balanced Adaptive Pseudo Labeling for Federated Semi-Supervised Learning
CVPR 2023
Semi-supervised News Discourse Profiling with Contrastive Learning
IJCNLP 2023
Stability and Generalization of lp-Regularized Stochastic Learning for GCN
IJCAI 2023
Pyramid Attention For Source Code Summarization
NeurIPS 2022
Self-Supervised Geometric Features Discovery via Interpretable Attention for Vehicle Re-Identification and Beyond
ICCV 2021
Towards Generating Summaries for Lexically Confusing Code through Code Erosion
IJCAI 2021
Find Me if You Can: Deep Software Clone Detection by Exploiting the Contest between the Plagiarist and the Detector
AAAI 2019
An End-to-End Deep Learning Framework for Speech Emotion Recognition of Atypical Individuals
Interspeech 2018
Generating Thematic Chinese Poetry using Conditional Variational Autoencoders with Hybrid Decoders
IJCAI 2018
Positive and Unlabeled Learning for Detecting Software Functional Clones with Adversarial Training
IJCAI 2018
An Audio Based Piano Performance Evaluation Method Using Deep Neural Network Based Acoustic Modeling
Interspeech 2017
Supervised Deep Features for Software Functional Clone Detection by Exploiting Lexical and Syntactical Information in Source Code
IJCAI 2017
Entity Disambiguation by Knowledge and Text Jointly Embedding
CoNLL 2016
Measuring the Non-compositionality of Multiword Expressions
COLING 2010