Jianxin Li

Towards Long-window Anchoring in Vision-Language Model Distillation AAAI 2026 Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models AAAI 2026 Fine-Tuned LLMs Know They Don’t Know: A Parameter-Efficient Approach to Recovering Honesty AAAI 2026 Is the Information Bottleneck Robust Enough? Towards Label-Noise Resistant Information Bottleneck Learning AAAI 2026 Privacy Auditing of Multi-Domain Graph Pre-Trained Model Under Membership Inference Attacks AAAI 2026 Beyond Human Perception: Understanding Multi-Object World from Monocular View CVPR 2025 How Much Can Transfer? BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees ICML 2025 PINNsAgent: Automated PDE Surrogation with Large Language Models ICML 2025 Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence NAACL 2025 A Survey on Multi-View Knowledge Graph: Generation, Fusion, Applications and Future Directions IJCAI 2025 IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning ICLR 2025 ST-GCond: Self-supervised and Transferable Graph Dataset Condensation ICLR 2025 GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts AAAI 2025 Discrete Curvature Graph Information Bottleneck AAAI 2025 FLUE: Streamlined Uncertainty Estimation for Large Language Models AAAI 2025 DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models AAAI 2025 OmniArch: Building Foundation Model for Scientific Computing ICML 2025 FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers IJCAI 2025 Enhancing Transformers for Generalizable First-Order Logical Entailment ACL 2025 Towards Objective Fine-tuning: How LLMs’ Prior Knowledge Causes Potential Poor Calibration? ACL 2025 OS-GCL: A One-Shot Learner in Graph Contrastive Learning IJCAI 2025 Galaxy Walker: Geometry-aware VLMs For Galaxy-scale Understanding CVPR 2025 GC-Bench: An Open and Unified Benchmark for Graph Condensation NIPS 2024 Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning NIPS 2024 From Text to Trajectory: Exploring Complex Constraint Representation and Decomposition in Safe Reinforcement Learning NIPS 2024 Hyperbolic Geometric Latent Diffusion Model for Graph Generation ICML 2024 KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning ICML 2024 ReGCL: Rethinking Message Passing in Graph Contrastive Learning AAAI 2024 Decoding Global Preferences: Temporal and Cooperative Dependency Modeling in Multi-Agent Preference-Based Reinforcement Learning AAAI 2024 QUEST: Quadruple Multimodal Contrastive Learning with Constraints and Self-Penalization NIPS 2024 LLM-based Multi-Level Knowledge Generation for Few-shot Knowledge Graph Completion IJCAI 2024 Few-Shot Multimodal Named Entity Recognition Based on Mutlimodal Causal Intervention Graph COLING 2024 DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining EMNLP 2023 Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization NIPS 2023 Does Graph Distillation See Like Vision Dataset Counterpart? NIPS 2023 Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information AAAI 2023 Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction ACL 2023 Path Spuriousness-aware Reinforcement Learning for Multi-Hop Knowledge Graph Reasoning EACL 2023 Multi-Modal Knowledge Graph Transformer Framework for Multi-Modal Entity Alignment EMNLP 2023 LATENTLOGIC: Learning Logic Rules in Latent Space over Knowledge Graphs EMNLP 2023 Bipartite Graph Pre-training for Unsupervised Extractive Summarization with Graph Convolutional Auto-Encoders EMNLP 2023 Towards Long-delayed Sparsity: Learning a Better Transformer through Reward Redistribution IJCAI 2023 Temporal Knowledge Graph Completion: A Survey IJCAI 2023 MTTrans: Cross-Domain Object Detection with Mean Teacher Transformer ECCV 2022 MetaER-TTE: An Adaptive Meta-learning Model for En Route Travel Time Estimation IJCAI 2022 AutoST: Towards the Universal Modeling of Spatio-temporal Sequences NIPS 2022 Noise-injected Consistency Training and Entropy-constrained Pseudo Labeling for Semi-supervised Extractive Summarization COLING 2022 THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption ACL 2022 Graph Structure Learning with Variational Information Bottleneck AAAI 2022 Jump Self-attention: Capturing High-order Statistics in Transformers NIPS 2022 TextGTL: Graph-based Transductive Learning for Semi-supervised Text Classification via Structure-Sensitive Interpolation IJCAI 2021 Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks IJCAI 2021 Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting AAAI 2021 Pseudo-Label Guided Unsupervised Domain Adaptation of Contextual Embeddings EACL 2021 HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization NAACL 2021 Adversarial Directed Graph Embedding AAAI 2021 TransRHS: A Representation Learning Method for Knowledge Graphs with Relation Hierarchical Structure IJCAI 2020 Motif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification AAAI 2020 Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation COLING 2020 D2D-LSTM: LSTM-Based Path Prediction of Content Diffusion Tree in Device-to-Device Social Networks AAAI 2020 Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks IJCAI 2019 Aspect-Based Sentiment Classification with Attentive Neural Turing Machines IJCAI 2019 Uncovering Specific-Shape Graph Anomalies in Attributed Graphs AAAI 2019 Time-evolving Text Classification with Deep Neural Networks IJCAI 2018 Query-Driven Discovery of Anomalous Subgraphs in Attributed Graphs IJCAI 2017 Improving the Generalization Performance of Multi-class SVM via Angular Regularization IJCAI 2017 On the Representation and Embedding of Knowledge Bases beyond Binary Relations IJCAI 2016