Jianxin Li

67 papers · 2016–2026 · 12 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (14) 🧭 Keyword Pioneer 🌍 Conference Polyglot (12) 🏃 Academic Marathon (9) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (11) 🏆 Keyword Champion (3) 🔬 Deep Specialist (15) 🤝 Dynamic Duo (17) 🏆 Grand Slam 🔥 Unstoppable (10) 🗃️ Keyword Collector (284) 💎 Century Club (62) ❓ The Questioner (3) ⚡ Prolific Year (10) 🚀 Conference Pioneer

Conferences

AAAI (18) IJCAI (16) NIPS (8) ICML (5) ACL (4) EMNLP (4) COLING (3) CVPR (2) EACL (2) ICLR (2) NAACL (2) ECCV (1)

Top co-authors

Qingyun Sun (20) Haoyi Zhou (19) Xingcheng Fu (18) Hao Peng (16) Cheng Ji (12) Haonan Yuan (9) Tianyu Chen (8) Qian Li (7) Qianren Mao (7) Philip S. Yu (6)

Research topics

Keywords

graph neural network (14) representation learning (10) knowledge graph (6) text classification (5) graph representation learning (4) large language model (4) graph embedding (4) semi-supervised learning (4) knowledge distillation (4) extractive summarization (3) message passing (3) self-supervised learning (3) attention mechanism (3) variational inference (3) graph structure learning (3) causal inference (2) out-of-distribution generalization (2) link prediction (2) graph classification (2) sequence modeling (2)

Papers

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