Mingxuan Ju
13 papers · 2021–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Renaissance Researcher (7) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (18) π§ Keyword Pioneer
π
Conference Polyglot
(5)
π
Grand Slam
π
Century Club
(10)
β‘
Prolific Year
(5)
π₯
Unstoppable
(5)
Conferences
AAAI (3)
ACL (3)
ICLR (3)
ICML (2)
EMNLP (1)
NIPS (1)
Top co-authors
Keywords
graph neural network
(5)
representation learning
(2)
adversarial learning
(1)
question answering
(1)
information retrieval
(1)
language modeling
(1)
markov decision process
(1)
text embedding
(1)
graph topology
(1)
knowledge graph
(1)
adversarial attack
(1)
black-box attack
(1)
entity embedding
(1)
disentangled representation
(1)
node classification
(1)
heterogeneous information network
(1)
degree bia
(1)
node injection
(1)
graph convolution
(1)
graph representation learning
(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
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization
ICLR 2023
Let Graph Be the Go Board: Gradient-Free Node Injection Attack for Graph Neural Networks via Reinforcement Learning
AAAI 2023
Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization
ICLR 2023
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation
NIPS 2023
Generate rather than Retrieve: Large Language Models are Strong Context Generators
ICLR 2023
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering
EMNLP 2022
Adaptive Kernel Graph Neural Network
AAAI 2022
Disentangled Representation Learning in Heterogeneous Information Network for Large-scale Android Malware Detection in the COVID-19 Era and Beyond
AAAI 2021