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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 Hide ▲
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