conftrace_

Haoyu Han

18 papers · 2023–2026 · 11 conferences · across top CS/AI conferences

Achievements

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+9 more ↓ 🐝 Cross-Pollinator (14) 🌍 Conference Polyglot (10) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (9)
🐝 Cross-Pollinator (14) 🤝 Dynamic Duo (10) 👥 Mega-Team (20) 🏆 Grand Slam 🏆 Keyword Champion (3) Prolific Year (5) The Questioner 💎 Century Club (17) 🗃️ Keyword Collector (79)

Conferences

NIPS (4) ACL (2) ICLR (2) ICML (2) RSS (2) AAAI (1) AACL (1) CVPR (1) EMNLP (1) IJCNLP (1) L4DC (1)

Papers

Graph2Video: Leveraging Video Models to Model Dynamic Graph Evolution AAAI 2026 On the Surprising Robustness of Sequential Convex Optimization for Contact-Implicit Motion Planning RSS 2025 Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation IJCNLP 2025 Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation AACL 2025 Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases ACL 2025 Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning ACL 2025 Language Guided Concept Bottleneck Models for Interpretable Continual Learning CVPR 2025 Building Rome with Convex Optimization RSS 2025 Empowering GraphRAG with Knowledge Filtering and Integration EMNLP 2025 Structural Fairness-aware Active Learning for Graph Neural Networks ICLR 2024 Mixture of Link Predictors on Graphs NIPS 2024 Label-free Node Classification on Graphs with Large Language Models (LLMs) ICLR 2024 On the nonsmooth geometry and neural approximation of the optimal value function of infinite-horizon pendulum swing-up L4DC 2024 Alternately Optimized Graph Neural Networks ICML 2023 Towards Label Position Bias in Graph Neural Networks NIPS 2023 Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation NIPS 2023 Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All? NIPS 2023 LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation ICML 2023