← Authors

Jundong Li

55 papers · 2016–2025 · 9 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (12) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (9) 🌈 Renaissance Researcher (9) πŸ—ΊοΈ Taxonomy Completionist (18) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (23) πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ† Grand Slam πŸ‘₯ Mega-Team (22) πŸ”¬ Deep Specialist (14) πŸ† Keyword Champion (2) ⚑ Prolific Year (7) πŸ”₯ Unstoppable (10) πŸ—ƒοΈ Keyword Collector (214) πŸ’Ž Century Club (55)

Conferences

IJCAI (14) EMNLP (11) ICLR (6) NIPS (6) AAAI (5) ACL (5) ICML (5) NAACL (2) WACV (1)

Top co-authors

Song Wang (23) Huan Liu (15) Yushun Dong (13) Zihan Chen (11) Zhen Tan (10) Chen Chen (9) Zhenyu Lei (8) Cong Shen (7) Yinhan He (7) Yaochen Zhu (7)

Keywords

graph neural network (15) large language model (11) few-shot learning (6) knowledge graph (5) causal inference (5) in-context learning (4) retrieval-augmented generation (4) node classification (4) anomaly detection (3) unsupervised learning (3) attributed network (3) social media analysis (3) text classification (3) knowledge distillation (3) transfer learning (2) pretrained language model (2) node representation (2) social media (2) mixture of expert (2) information extraction (2)

Papers

Towards Global-level Mechanistic Interpretability: A Perspective of Modular Circuits of Large Language Models ICML 2025
Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion ICML 2025
Interpreting Pretrained Language Models via Concept Bottlenecks (Extended Abstract) IJCAI 2025
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning AAAI 2025
Question-Aware Knowledge Graph Prompting for Enhancing Large Language Models ACL 2025
Harnessing Large Language Models for Disaster Management: A Survey ACL 2025
Learning from Diverse Reasoning Paths with Routing and Collaboration EMNLP 2025
AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction EMNLP 2025
Separate the Wheat from the Chaff: Winnowing Down Divergent Views in Retrieval Augmented Generation EMNLP 2025
LLM-based Conversational Recommendation Agents with Collaborative Verbalized Experience EMNLP 2025
From Cross-Task Examples to In-Task Prompts: A Graph-Based Pseudo-Labeling Framework for In-context Learning EMNLP 2025
CoRAG: Enhancing Hybrid Retrieval-Augmented Generation through a Cooperative Retriever Architecture EMNLP 2025
Reasoning of Large Language Models over Knowledge Graphs with Super-Relations ICLR 2025
CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models ICLR 2025
Causal Effect Estimation with Mixed Latent Confounders and Post-treatment Variables ICLR 2025
Edge Prompt Tuning for Graph Neural Networks ICLR 2025
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective ICLR 2025
MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning ICML 2025
Invariant Shape Representation Learning for Image Classification WACV 2025
ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data AAAI 2025
BrainMAP: Learning Multiple Activation Pathways in Brain Networks AAAI 2025
Towards Certified Unlearning for Deep Neural Networks ICML 2024
Verification of Machine Unlearning is Fragile ICML 2024
Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation NAACL 2024
Large Language Models for Data Annotation and Synthesis: A Survey EMNLP 2024
Mixture of Demonstrations for In-Context Learning NIPS 2024
Glue pizza and eat rocks - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models EMNLP 2024
Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective on Molecule Graphs EMNLP 2024
Adversarial Attacks on Fairness of Graph Neural Networks ICLR 2024
Efficient Prompt Optimization Through the Lens of Best Arm Identification NIPS 2024
Knowledge Graph-Enhanced Large Language Models via Path Selection ACL 2024
FastGAS: Fast Graph-based Annotation Selection for In-Context Learning ACL 2024
Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance EMNLP 2023
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution AAAI 2023
BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency ACL 2023
Learning Causal Effects on Hypergraphs (Extended Abstract) IJCAI 2023
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs IJCAI 2022
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs NIPS 2022
TwiBot-22: Towards Graph-Based Twitter Bot Detection NIPS 2022
Graph Few-shot Learning with Task-specific Structures NIPS 2022
CLEAR: Generative Counterfactual Explanations on Graphs NIPS 2022
Few-Shot Learning on Graphs IJCAI 2022
KCD: Knowledge Walks and Textual Cues Enhanced Political Perspective Detection in News Media NAACL 2022
Multi-Cause Effect Estimation with Disentangled Confounder Representation IJCAI 2021
Tracking Disaster Footprints with Social Streaming Data AAAI 2020
Be More with Less: Hypergraph Attention Networks for Inductive Text Classification EMNLP 2020
Inductive Anomaly Detection on Attributed Networks IJCAI 2020
IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data IJCAI 2020
PI-Bully: Personalized Cyberbullying Detection with Peer Influence IJCAI 2019
InterSpot: Interactive Spammer Detection in Social Media IJCAI 2019
INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process IJCAI 2018
ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks IJCAI 2018
Radar: Residual Analysis for Anomaly Detection in Attributed Networks IJCAI 2017
Reconstruction-based Unsupervised Feature Selection: An Embedded Approach IJCAI 2017
Multi-Label Informed Feature Selection IJCAI 2016