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Qinbin Li

18 papers · 2018–2026 · 8 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 ↓ πŸ—ΊοΈ Taxonomy Completionist (38) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
🀝 Dynamic Duo (13) 🧬 Topic Evolution πŸ† Grand Slam πŸ† Keyword Champion (2) πŸ’Ž Century Club Β· Bronze πŸ”₯ Unstoppable Β· Bronze 🌈 Renaissance Researcher (5) πŸ—ƒοΈ Keyword Collector (97) πŸ“ˆ Trend Setter

Venues

AAAI (6) ICLR (2) ICML (2) IJCAI (2) JMLR (2) NeurIPS (2) ACL (1) CVPR (1)

Top co-authors

Bingsheng He (13) Dawn Song (6) Zeyi Wen (5) Yiqun Diao (2) Yuzhi Zhao (2) Jian Chen (2) Mengyang Wu (2) Jiashuai Shi (2) Bo Li (2) Zhaomin Wu (2)

Research topics

Machine Learning (14) Artificial Intelligence (12) Application Areas (12) Learning Types Β· Machine Learning (9) Core AI (6) Learning Paradigms Β· Artificial Intelligence (6) Learning Paradigms Β· Machine Learning (6) Core Methods (5) Deep Learning (3) Learning Types Β· Deep Learning (3) Optimization & Theory (3) Computer Vision (1) Mathematics & Optimization (1) Natural Language Processing (1) Security & Privacy (1)

Keywords

federated learning (7) gradient boosting decision tree (4) one-shot learning (2) multimodal large language model (2) gpu computing (2) privacy-preserving machine learning (2) parallel computing (2) label skew (2) ensemble learning (2) differential privacy (2) zero-shot learning (1) distributed learning (1) explainable ai (1) adversarial training (1) knowledge transfer (1) contrastive learning (1) instruction tuning (1) convex optimization (1) distributed computing (1) efficient computing (1)

Papers

AutoTool: Efficient Tool Selection for Large Language Model Agents AAAI 2026 VP-Bench: A Comprehensive Benchmark for Visual Prompting in Multimodal Large Language Models AAAI 2026 GuardAgent: Safeguard LLM Agents via Knowledge-Enabled Reasoning ICML 2025 ICM-Assistant: Instruction-tuning Multimodal Large Language Models for Rule-based Explainable Image Content Moderation AAAI 2025 MegaAgent: A Large-Scale Autonomous LLM-based Multi-Agent System Without Predefined SOPs ACL 2025 Boosting Alignment for Post-Unlearning Text-to-Image Generative Models NeurIPS 2024 Effective and Efficient Federated Tree Learning on Hybrid Data ICLR 2024 Exploiting Label Skews in Federated Learning with Model Concatenation AAAI 2024 Adversarial Collaborative Learning on Non-IID Features ICML 2023 Towards Addressing Label Skews in One-Shot Federated Learning ICLR 2023 A Coupled Design of Exploiting Record Similarity for Practical Vertical Federated Learning NeurIPS 2022 Challenges and Opportunities of Building Fast GBDT Systems IJCAI 2021 Model-Contrastive Federated Learning CVPR 2021 Practical One-Shot Federated Learning for Cross-Silo Setting IJCAI 2021 Practical Federated Gradient Boosting Decision Trees AAAI 2020 Privacy-Preserving Gradient Boosting Decision Trees AAAI 2020 ThunderGBM: Fast GBDTs and Random Forests on GPUs JMLR 2020 ThunderSVM: A Fast SVM Library on GPUs and CPUs JMLR 2018