Zhimeng Jiang
16 papers · 2022–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (7) π Cross-Pollinator (12)
πΊοΈ
Taxonomy Completionist
(34)
π
Conference Polyglot
(7)
π
Grand Slam
π€
Dynamic Duo
(10)
π
Century Club
(16)
β‘
Prolific Year
(5)
Conferences
ICML (7)
ICLR (3)
EMNLP (2)
AAAI (1)
ACL (1)
IJCAI (1)
NIPS (1)
Top co-authors
Keywords
graph neural network
(4)
large language model
(3)
graph classification
(2)
data augmentation
(1)
model merging
(1)
model editing
(1)
graph generation
(1)
gradient descent
(1)
adaptive filtering
(1)
node prediction
(1)
backdoor attack
(1)
deep neural network
(1)
memory efficiency
(1)
model training
(1)
foundation model
(1)
bias mitigation
(1)
low-rank adaptation
(1)
node classification
(1)
retrieval-augmented generation
(1)
message passing
(1)
Papers
Understanding and Mitigating Memorization in Diffusion Models for Tabular Data
ICML 2025
Enhancing Foundation Models in Transaction Understanding with LLM-based Sentence Embeddings
EMNLP 2025
LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem
EMNLP 2025
On Explaining Equivariant Graph Networks via Improved Relevance Propagation
ICML 2025
MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation
ACL 2025
Gradient Rewiring for Editable Graph Neural Network Training
NIPS 2024
LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning
ICML 2024
GNNs Also Deserve Editing, and They Need It More Than Once
ICML 2024
Chasing Fairness in Graphs: A GNN Architecture Perspective
AAAI 2024
Probabilistic Masked Attention Networks for Explainable Sequential Recommendation
IJCAI 2023
Learning Fair Graph Representations via Automated Data Augmentations
ICLR 2023
Graph Mixup with Soft Alignments
ICML 2023
DIVISION: Memory Efficient Training via Dual Activation Precision
ICML 2023
G-Mixup: Graph Data Augmentation for Graph Classification
ICML 2022
Generalized Demographic Parity for Group Fairness
ICLR 2022
An Information Fusion Approach to Learning with Instance-Dependent Label Noise
ICLR 2022