Jundong Li

LOKA: Conflict-Aware LLM Knowledge Update with Adaptive Knowledge Memory ACL 2026 Mind the Gap in Cultural Alignment: Task-Aware Culture Management for Large Language Models ACL 2026 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 BrainMAP: Learning Multiple Activation Pathways in Brain Networks AAAI 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 Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning AAAI 2025 MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning ICML 2025 Towards Global-level Mechanistic Interpretability: A Perspective of Modular Circuits of Large Language Models ICML 2025 Question-Aware Knowledge Graph Prompting for Enhancing Large Language Models ACL 2025 Harnessing Large Language Models for Disaster Management: A Survey ACL 2025 Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion ICML 2025 Invariant Shape Representation Learning for Image Classification WACV 2025 Interpreting Pretrained Language Models via Concept Bottlenecks (Extended Abstract) IJCAI 2025 ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data AAAI 2025 Learning from Diverse Reasoning Paths with Routing and Collaboration EMNLP 2025 Separate the Wheat from the Chaff: Winnowing Down Divergent Views in Retrieval Augmented Generation EMNLP 2025 AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction EMNLP 2025 LLM-based Conversational Recommendation Agents with Collaborative Verbalized Experience EMNLP 2025 Verification of Machine Unlearning is Fragile ICML 2024 Mixture of Demonstrations for In-Context Learning NIPS 2024 Efficient Prompt Optimization Through the Lens of Best Arm Identification NIPS 2024 Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation NAACL 2024 Knowledge Graph-Enhanced Large Language Models via Path Selection ACL 2024 FastGAS: Fast Graph-based Annotation Selection for In-Context Learning ACL 2024 Large Language Models for Data Annotation and Synthesis: A Survey EMNLP 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 Towards Certified Unlearning for Deep Neural Networks ICML 2024 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 Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance EMNLP 2023 Learning Causal Effects on Hypergraphs (Extended Abstract) IJCAI 2023 TwiBot-22: Towards Graph-Based Twitter Bot Detection NIPS 2022 Graph Few-shot Learning with Task-specific Structures NIPS 2022 FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs IJCAI 2022 KCD: Knowledge Walks and Textual Cues Enhanced Political Perspective Detection in News Media NAACL 2022 CLEAR: Generative Counterfactual Explanations on Graphs NIPS 2022 BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs NIPS 2022 Few-Shot Learning on Graphs IJCAI 2022 Multi-Cause Effect Estimation with Disentangled Confounder Representation IJCAI 2021 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 Tracking Disaster Footprints with Social Streaming Data AAAI 2020 InterSpot: Interactive Spammer Detection in Social Media IJCAI 2019 PI-Bully: Personalized Cyberbullying Detection with Peer Influence IJCAI 2019 ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks IJCAI 2018 INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process IJCAI 2018 Reconstruction-based Unsupervised Feature Selection: An Embedded Approach IJCAI 2017 Radar: Residual Analysis for Anomaly Detection in Attributed Networks IJCAI 2017 Multi-Label Informed Feature Selection IJCAI 2016