Mingxuan Ju
13 papers · 2021–2026 · 6 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
Jump to papers ↓+8 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (29) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π± Topic Pioneer
π§¬
Topic Evolution
π
Grand Slam
ποΈ
Keyword Collector
(65)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Renaissance Researcher
(7)
π
Trend Setter
π
Century Club Β· Bronze
Top co-authors
Research topics
Deep Learning
(10)
Machine Learning
(9)
Architectures
(8)
Artificial Intelligence
(7)
Core AI
(7)
Core Methods
(6)
Learning Types Β· Machine Learning
(5)
Learning Types Β· Deep Learning
(4)
Application Areas
(2)
Computer Science
(1)
Computer Vision
(1)
Data Science & Analytics
(1)
Knowledge & Reasoning
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Keywords
graph neural network
(8)
representation learning
(2)
large language model
(2)
adversarial attack
(2)
open-domain question answering
(2)
self-supervised learning
(2)
knowledge distillation
(1)
graph representation learning
(1)
adversarial learning
(1)
task generalization
(1)
graph representation
(1)
heterogeneous information network
(1)
markov decision process
(1)
mutual information maximization
(1)
entity embedding
(1)
language modeling
(1)
black-box attack
(1)
information retrieval
(1)
knowledge graph
(1)
graph topology
(1)
Papers
Hierarchical Token Prepending: Enhancing Information Flow in Decoder-based LLM Embeddings
ACL 2026
MemRec: Collaborative Memory-Augmented Agentic Recommender System
ACL 2026
Threshold Differential Attention for Sink-Free, Ultra-Sparse, and Non-Dispersive Language Modeling
ACL 2026
Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning
ICML 2025
From Coarse to Fine: Enable Comprehensive Graph Self-supervised Learning with Multi-granular Semantic Ensemble
ICML 2024
Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization
ICLR 2023
Generate rather than Retrieve: Large Language Models are Strong Context Generators
ICLR 2023
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation
NeurIPS 2023
Let Graph Be the Go Board: Gradient-Free Node Injection Attack for Graph Neural Networks via Reinforcement Learning
AAAI 2023
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization
ICLR 2023
Adaptive Kernel Graph Neural Network
AAAI 2022
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering
EMNLP 2022
Disentangled Representation Learning in Heterogeneous Information Network for Large-scale Android Malware Detection in the COVID-19 Era and Beyond
AAAI 2021