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Jianxin Li

Beihang University, Beijing Advanced Innovation Center of Big data and Brain Computing, China

53 papers at tracked venues · 44 at CORE A* · active 2024–2026

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Venues

AAAI ×11NeurIPS ×9ICML ×5WWW ×5SIGKDD ×4IJCAI ×3ACL ×2ACM MM ×2CIKM ×2ICLR ×2SIGMOD ×2WSDM ×2CVPR ×1NAACL ×1SDM ×1SIGIR ×1

Frequent coauthors

Haonan Yuan
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Jiayi Luo
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Xingcheng Fu
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Tianyu Chen
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Qingyun Sun
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Jiawen Qin
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Zihao Guo
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Cheng Ji
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Mengyi Yan
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Qian Li
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Ziqi Yuan
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Lu Chen
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Papers

  1. Efficient Meta-subgraph Instance Search over Large Heterogeneous Information Networks
    SIGMOD 2026 ·
    Lu Chen
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  2. Fine-Tuned LLMs Know They Don't Know: A Parameter-Efficient Approach to Recovering Honesty
    AAAI 2026 ·
    Zeyu Shi
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  3. Graph Diffusion Evolution Model for Multi-Conditional Molecular Generation
    WWW 2026 ·
    Xingcheng Fu
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  4. GraphRAG-R1: Graph Retrieval-Augmented Generation with Process-Constrained Reinforcement Learning
    WWW 2026 ·
    Chuanyue Yu
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  5. Invariant Graph Transformer for Out-of-Distribution Generalization
    SIGKDD 2026 ·
    Tianyin Liao
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  6. Is the Information Bottleneck Robust Enough? Towards Label-Noise Resistant Information Bottleneck Learning
    AAAI 2026 ·
    Yi Huang
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  7. Learning Noise-Resilient and Transferable Graph-Text Alignment via Dynamic Quality Assessment
    SIGIR 2026 ·
    Yuhang Liu
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  8. Privacy Auditing of Multi-Domain Graph Pre-Trained Model Under Membership Inference Attacks
    AAAI 2026 ·
    Jiayi Luo
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  9. RAG-GFM: Overcoming In-Memory Bottlenecks in Graph Foundation Models via Retrieval-Augmented Generation
    WWW 2026 ·
    Haonan Yuan
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  10. Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models
    AAAI 2026 ·
    Jiayi Luo
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  11. Towards Long-window Anchoring in Vision-Language Model Distillation
    AAAI 2026 ·
    Haoyi Zhou
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  12. Vistar: Enhancing the Perception Capability of LLMs under Imprecise IMU-Text Alignment
    SIGKDD 2026 ·
    Yatong Chen
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  13. Adaptive Batch-Wise Sample Scheduling for Direct Preference Optimization
    NeurIPS 2025 ·
    Zixuan Huang
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  14. DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models
    AAAI 2025 ·
    Haonan Yuan
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  15. Discrete Curvature Graph Information Bottleneck
    AAAI 2025 ·
    Xingcheng Fu
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  16. Enhancing Transformers for Generalizable First-Order Logical Entailment
    ACL 2025 ·
    Tianshi Zheng
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  17. FLUE: Streamlined Uncertainty Estimation for Large Language Models
    AAAI 2025 ·
    Shiqi Gao
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  18. FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers
    IJCAI 2025 ·
    Tianyu Chen
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  19. Frontiers in Graph Machine Learning for the Large Model Era
    CIKM 2025 ·
    Qingyun Sun
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  20. GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-tuning
    NeurIPS 2025 ·
    Haonan Yuan
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  21. Galaxy Walker: Geometry-aware VLMs For Galaxy-scale Understanding
    CVPR 2025 ·
    Tianyu Chen
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  22. Graph Size-imbalanced Learning with Energy-guided Structural Smoothing
    WSDM 2025 ·
    Jiawen Qin
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  23. GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation
    NeurIPS 2025 ·
    Zihao Guo
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  24. GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts
    AAAI 2025 ·
    Zihao Guo
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  25. How Much Can Transfer? BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees
    ICML 2025 ·
    Haonan Yuan
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  26. IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning
    ICLR 2025 ·
    Jiawen Qin
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  27. Improving Subgraph Matching by Combining Algorithms and Graph Neural Networks
    SIGKDD 2025 ·
    Shuyang Guo
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  28. Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence
    NAACL 2025 ·
    Qianren Mao
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  29. OS-GCL: A One-Shot Learner in Graph Contrastive Learning
    IJCAI 2025 ·
    Cheng Ji
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  30. OmniArch: Building Foundation Model for Scientific Computing
    ICML 2025 ·
    Tianyu Chen
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  31. PINNsAgent: Automated PDE Surrogation with Large Language Models
    ICML 2025 ·
    Qingpo Wuwu
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  32. Robust Graph Condensation via Classification Complexity Mitigation
    NeurIPS 2025 ·
    Jiayi Luo
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  33. Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification
    WWW 2025 ·
    Jiayi Luo
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  34. ST-GCond: Self-supervised and Transferable Graph Dataset Condensation
    ICLR 2025 ·
    Beining Yang
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  35. Toward a Unified Geometry Understanding : Riemannian Diffusion Framework for Graph Generation and Prediction
    NeurIPS 2025 ·
    Yisen Gao
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  36. Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration?
    ACL 2025 ·
    Ziming Wang
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  37. Decoding Global Preferences: Temporal and Cooperative Dependency Modeling in Multi-Agent Preference-Based Reinforcement Learning
    AAAI 2024 ·
    Tianchen Zhu
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  38. Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning
    NeurIPS 2024 ·
    Runhua Xu
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  39. Dynamic Graph Information Bottleneck
    WWW 2024 ·
    Haonan Yuan
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  40. Efficient Mixture of Experts based on Large Language Models for Low-Resource Data Preprocessing
    SIGKDD 2024 ·
    Mengyi Yan
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  41. From Text to Trajectory: Exploring Complex Constraint Representation and Decomposition in Safe Reinforcement Learning
    NeurIPS 2024 ·
    Pusen Dong
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  42. GC-Bench: An Open and Unified Benchmark for Graph Condensation
    NeurIPS 2024 ·
    Qingyun Sun
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  43. GIDCL: A Graph-Enhanced Interpretable Data Cleaning Framework with Large Language Models
    SIGMOD 2024 ·
    Mengyi Yan
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  44. Hyperbolic Geometric Latent Diffusion Model for Graph Generation
    ICML 2024 ·
    Xingcheng Fu
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  45. KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning
    ICML 2024 ·
    Junnan Liu
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  46. L-APPLE: Language-agnostic Prototype Prefix Learning for Cross-lingual Event Detection
    CIKM 2024 ·
    Ziqin Zhu
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  47. LLM-based Multi-Level Knowledge Generation for Few-shot Knowledge Graph Completion
    IJCAI 2024 ·
    Qian Li
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  48. Miko: Multimodal Intention Knowledge Distillation from Large Language Models for Social-Media Commonsense Discovery
    ACM MM 2024 ·
    Feihong Lu
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  49. Multi-Modal Inductive Framework for Text-Video Retrieval
    ACM MM 2024 ·
    Qian Li
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  50. MultiNetAD: Multiplex Network-Based Anomaly Access Detection Featuring Semantic Hierarchies
    SDM 2024 ·
    Ziqi Yuan
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  51. PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology Optimization
    WSDM 2024 ·
    Ziqi Yuan
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  52. QUEST: Quadruple Multimodal Contrastive Learning with Constraints and Self-Penalization
    NeurIPS 2024 ·
    Qi Song
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  53. ReGCL: Rethinking Message Passing in Graph Contrastive Learning
    AAAI 2024 ·
    Cheng Ji
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