conftrace_
← Authors

Yijun Tian

24 papers · 2022–2026 · 10 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+10 more ↓ 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (9) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (12)
🐝 Cross-Pollinator (12) πŸ—ΊοΈ Taxonomy Completionist (38) πŸ‘‘ Triple Crown πŸ† Grand Slam 🀝 Dynamic Duo (11) πŸ”₯ Unstoppable (5) πŸ—ƒοΈ Keyword Collector (87) πŸ“ˆ Trend Setter ⚑ Prolific Year (7) πŸ’Ž Century Club (19)

Conferences

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

Top co-authors

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

Keywords

graph neural network (8) large language model (4) retrieval-augmented generation (3) reinforcement learning (3) representation learning (3) knowledge distillation (2) information retrieval (2) adversarial attack (2) learned sparse retrieval (2) heterogeneous graph neural network (2) model quantization (2) node classification (2) causal language model (2) knowledge editing (1) adversarial learning (1) graph representation learning (1) self-supervised learning (1) link prediction (1) collaborative filtering (1) adaptive learning (1)

Papers

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