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Wei Jin

30 papers · 2010–2026 · 11 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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+12 more ↓ πŸ—ΊοΈ Taxonomy Completionist (46) 🌍 Conference Polyglot Β· Gold πŸƒ Academic Marathon Β· Full πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ‘₯ Mega-Team Β· Squad 🀝 Dynamic Duo (12) πŸ”¬ Deep Specialist (11) πŸ† Keyword Champion (3) πŸ—ƒοΈ Keyword Collector (115) πŸ’Ž Century Club Β· Bronze ❓ The Questioner πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive 🌈 Renaissance Researcher (5)

Venues

ICLR (7) AAAI (4) ACL (4) NeurIPS (4) ICML (3) NAACL (3) COLING (1) IJCAI (1) IJCNLP (1) JMLR (1) MICCAI (1)

Top co-authors

Jiliang Tang (12) Neil Shah (5) Yao Ma (5) Haoyu Han (4) Haitao Mao (4) Zhikai Chen (4) Hongzhi Wen (3) Hui LIU (3) Xiaorui Liu (3) Jiayuan Ding (3)

Research topics

Machine Learning (23) Deep Learning (15) Architectures (12) Core Methods (12) Artificial Intelligence (9) Application Areas (9) Core AI (8) Learning Types Β· Machine Learning (7) Natural Language Processing (4) Data Science & Analytics (3) Mathematics & Optimization (3) Applications (3) Learning Types Β· Deep Learning (3) Mathematics (3) Knowledge & Reasoning (2)

Keywords

graph neural network (11) large language model (4) domain adaptation (4) node classification (3) graph condensation (3) message passing (3) adversarial robustness (2) adversarial attack (2) session-based recommendation (2) distribution shift (2) transfer learning (1) curriculum learning (1) model robustness (1) self-supervised learning (1) graph learning (1) few-shot learning (1) zero-shot learning (1) causal discovery (1) multilingual nlp (1) decision making (1)

Papers

STReasoner: Empowering LLMs for Spatio-Temporal Reasoning in Time Series via Spatial-Aware Reinforcement Learning ACL 2026 ADEPT-SQL: A High-performance Text-to-SQL Application for Real-World Enterprise-Level Databases ACL 2025 Analytical-Chemistry-Informed Transformer for Infrared Spectra Modeling AAAI 2025 Directed Cyclic Graphs for Simultaneous Discovery of Time-Lagged and Instantaneous Causality from Longitudinal Data Using Instrumental Variables JMLR 2025 EARTH: Epidemiology-Aware Neural ODE with Continuous Disease Transmission Graph ICML 2025 Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation IJCNLP 2025 Incorporating Rather Than Eliminating: Achieving Fairness for Skin Disease Diagnosis Through Group-Specific Experts MICCAI 2025 Precedence-Constrained Winter Value for Effective Graph Data Valuation ICLR 2025 STRUX: An LLM for Decision-Making with Structured Explanations NAACL 2025 Threshold Filtering Packing for Supervised Fine-Tuning: Training Related Samples within Packs NAACL 2025 A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation IJCAI 2024 CellPLM: Pre-training of Cell Language Model Beyond Single Cells ICLR 2024 Deep Learning on Graphs: A Data-Centric Exploration AAAI 2024 Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models ACL 2024 Label-free Node Classification on Graphs with Large Language Models (LLMs) ICLR 2024 Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching ICML 2024 Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights NeurIPS 2024 ACCD: An Adaptive Clustering-Based Collusion Detector in Crowdsourcing (Student Abstract) AAAI 2023 Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation NeurIPS 2023 Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? NeurIPS 2023 Empowering Graph Representation Learning with Test-Time Graph Transformation ICLR 2023 Automated Self-Supervised Learning for Graphs ICLR 2022 From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness ICLR 2022 Graph Condensation for Graph Neural Networks ICLR 2022 DeepRobust: a Platform for Adversarial Attacks and Defenses AAAI 2021 Elastic Graph Neural Networks ICML 2021 Graph Neural Networks with Adaptive Residual NeurIPS 2021 The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification ACL 2021 Incorporating Emoji Descriptions Improves Tweet Classification NAACL 2019 HCAMiner: Mining Concept Associations for Knowledge Discovery through Concept Chain Queries COLING 2010