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← Authors

Qinbin Li

18 papers · 2018–2026 · 8 conferences · across top CS/AI conferences

Achievements

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+9 more ↓ πŸƒ Academic Marathon (7) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (8) 🐝 Cross-Pollinator (14)
🌍 Conference Polyglot (8) πŸƒ Academic Marathon (7) πŸ—ΊοΈ Taxonomy Completionist (39) 🀝 Dynamic Duo (13) πŸ† Grand Slam πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (6) πŸ—ƒοΈ Keyword Collector (84) πŸ’Ž Century Club (16)

Conferences

AAAI (6) ICLR (2) ICML (2) IJCAI (2) JMLR (2) NIPS (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

Differential Privacy (1)

Keywords

federated learning (5) gradient boosting decision tree (4) multimodal large language model (2) parallel computing (2) privacy-preserving machine learning (2) gpu computing (2) differential privacy (2) ensemble learning (2) zero-shot learning (1) distributed learning (1) contrastive learning (1) explainable ai (1) adversarial training (1) text-to-image generation (1) knowledge transfer (1) model alignment (1) convex optimization (1) instruction tuning (1) distributed computing (1) efficient computing (1)

Papers

VP-Bench: A Comprehensive Benchmark for Visual Prompting in Multimodal Large Language Models AAAI 2026 AutoTool: Efficient Tool Selection for Large Language Model Agents AAAI 2026 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 GuardAgent: Safeguard LLM Agents via Knowledge-Enabled Reasoning ICML 2025 Effective and Efficient Federated Tree Learning on Hybrid Data ICLR 2024 Boosting Alignment for Post-Unlearning Text-to-Image Generative Models NIPS 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 NIPS 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 ThunderGBM: Fast GBDTs and Random Forests on GPUs JMLR 2020 Practical Federated Gradient Boosting Decision Trees AAAI 2020 Privacy-Preserving Gradient Boosting Decision Trees AAAI 2020 ThunderSVM: A Fast SVM Library on GPUs and CPUs JMLR 2018