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Yijun Tian

23 papers · 2022–2026 · 9 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+9 more ↓ 🐣 Hot Topic Early Bird 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (42) 🀝 Dynamic Duo (11)
🀝 Dynamic Duo (11) πŸ‘‘ Triple Crown πŸ”¬ Deep Specialist (10) 🌈 Renaissance Researcher (5) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (110)

Venues

AAAI (5) ICLR (4) IJCAI (4) ACL (3) ICML (3) EACL (1) EMNLP (1) IJCNLP (1) NeurIPS (1)

Top co-authors

Chuxu Zhang (11) Nitesh V. Chawla (7) Chunhui Zhang (5) Zhichun Guo (5) Nitesh V Chawla (4) Xiangliang Zhang (4) Zhichao Xu (4) Zheyuan Liu (4) Yawei Wang (3) Lin Lee Cheong (3)

Research topics

Machine Learning (21) Deep Learning (16) Architectures (11) Learning Types Β· Machine Learning (11) Artificial Intelligence (10) Application Areas (8) Core AI (8) Core Methods (7) Learning Types Β· Deep Learning (6) Natural Language Processing (5) Applications (3) Learning Paradigms (3) Resources & Methods (3) Optimization & Theory (2) Techniques (2)

Keywords

graph neural network (11) adversarial attack (4) representation learning (4) large language model (4) reinforcement learning (3) knowledge distillation (3) retrieval-augmented generation (3) mixture of expert (2) multi-layer perceptron (2) protein-protein interaction (2) graph contrastive learning (2) node classification (2) heterogeneous graph neural network (2) graph representation learning (1) link prediction (1) self-supervised learning (1) collaborative filtering (1) model quantization (1) graph classification (1) multimodal learning (1)

Papers

Adaptive and Context-rich Generative Self-supervised Learning on Graphs AAAI 2026 ALDEN: Reinforcement Learning for Active Navigation and Evidence Gathering in Long Documents ACL 2026 Pareto-Based Heterogeneous Knowledge Distillation for MLPs on Graphs AAAI 2026 Reinforcement Learning for Self-Improving Agent with Skill Library ACL 2026 SALT: Step-level Advantage Assignment for Long-horizon Agents via Trajectory Graph EACL 2026 CSPLADE: Learned Sparse Retrieval with Causal Language Models IJCNLP 2025 Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning EMNLP 2024 Graph Neural Prompting with Large Language Models AAAI 2024 G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering NeurIPS 2024 Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning ICML 2024 MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding ICLR 2024 Mitigating Emergent Robustness Degradation while Scaling Graph Learning ICLR 2024 S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning ICML 2024 Towards Safer Large Language Models through Machine Unlearning ACL 2024 Boosting Graph Neural Networks via Adaptive Knowledge Distillation AAAI 2023 Character As Pixels: A Controllable Prompt Adversarial Attacking Framework for Black-Box Text Guided Image Generation Models IJCAI 2023 Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization ICLR 2023 Graph-based Molecular Representation Learning IJCAI 2023 Heterogeneous Graph Masked Autoencoders AAAI 2023 Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency ICLR 2023 When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations ICML 2023 Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks IJCAI 2022 RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation IJCAI 2022