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Longfei Li

22 papers · 2019–2026 · 7 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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+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (55) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ† Grand Slam 🀝 Dynamic Duo (15) ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze πŸš€ Conference Pioneer 🌈 Renaissance Researcher (7) πŸ—ƒοΈ Keyword Collector (119)

Venues

NeurIPS (7) AAAI (6) CVPR (2) ICLR (2) ICML (2) IJCAI (2) ACML (1)

Top co-authors

Jun Zhou (15) Qing Cui (8) Caizhi Tang (4) Peng Zhao (3) Chaochao Chen (3) Long-Fei Li (3) Xinyu Li (3) Zhi-Hua Zhou (3) Ya-Lin Zhang (3) Huiyuan Wang (2)

Research topics

Machine Learning (18) Artificial Intelligence (13) Core AI (11) Application Areas (9) Learning Types (9) Optimization & Theory (6) Core Methods (5) Deep Learning (4) Reinforcement Learning (3) Architectures (3) Data Science & Analytics (2) Knowledge & Reasoning (2) Mathematics & Optimization (2) Applications (2) Learning Paradigms (2)

Keywords

causal inference (7) heterogeneous treatment effect (3) reinforcement learning (3) graph neural network (3) domain adaptation (2) representation learning (2) dynamic regret (2) tree-based method (2) knowledge distillation (2) adversarial reward (2) linear mixture mdp (2) unmeasured confounding (2) recommender system (2) transductive learning (1) causal reasoning (1) transfer learning (1) multi-task learning (1) multi-source learning (1) domain generalization (1) contrastive learning (1)

Papers

SpatialTree: How Spatial Intelligence Branches Out in MLLMs CVPR 2026 StereoWorld: Geometry-Aware Monocular-to-Stereo Video Generation CVPR 2026 Controllable Unlearning for Image-to-Image Generative Models via Ξ΅-Constrained Optimization ICLR 2025 Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations AAAI 2024 Collaborative Refining for Learning from Inaccurate Labels NeurIPS 2024 LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs AAAI 2024 Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs NeurIPS 2024 Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation NeurIPS 2024 Self-cognitive Denoising in the Presence of Multiple Noisy Label Sources ICML 2024 Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction AAAI 2024 Ο€-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control AAAI 2024 Difference-in-Differences Meets Tree-based Methods: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding ICML 2023 Dynamic Regret of Adversarial Linear Mixture MDPs NeurIPS 2023 FAST: a Fused and Accurate Shrinkage Tree for Heterogeneous Treatment Effects Estimation NeurIPS 2023 Keep Skills in Mind: Understanding and Implementing Skills in Commonsense Question Answering IJCAI 2023 Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift NeurIPS 2023 Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding NeurIPS 2022 Robust Direct Learning for Causal Data Fusion ACML 2022 SAIL: Self-Augmented Graph Contrastive Learning AAAI 2022 Cross-Domain Recommendation: Challenges, Progress, and Prospects IJCAI 2021 Knowledge Consistency between Neural Networks and Beyond ICLR 2020 GeniePath: Graph Neural Networks with Adaptive Receptive Paths AAAI 2019