conftrace_

Longfei Li

20 papers · 2019–2025 · 6 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+10 more ↓ 🌍 Conference Polyglot (6) πŸƒ Academic Marathon (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (13)
🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (8) πŸ—ΊοΈ Taxonomy Completionist (45) πŸ† Grand Slam 🀝 Dynamic Duo (15) πŸ—ƒοΈ Keyword Collector (92) ⚑ Prolific Year (8) πŸ’Ž Century Club (20) πŸ”₯ Unstoppable (7) πŸš€ Conference Pioneer

Conferences

NIPS (7) AAAI (6) ICLR (2) ICML (2) IJCAI (2) ACML (1)

Papers

Controllable Unlearning for Image-to-Image Generative Models via $\epsilon$-Constrained Optimization ICLR 2025 Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations AAAI 2024 LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs AAAI 2024 Ο€-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control AAAI 2024 Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction AAAI 2024 Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation NIPS 2024 Collaborative Refining for Learning from Inaccurate Labels NIPS 2024 Self-cognitive Denoising in the Presence of Multiple Noisy Label Sources ICML 2024 Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs NIPS 2024 Keep Skills in Mind: Understanding and Implementing Skills in Commonsense Question Answering IJCAI 2023 FAST: a Fused and Accurate Shrinkage Tree for Heterogeneous Treatment Effects Estimation NIPS 2023 Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift NIPS 2023 Dynamic Regret of Adversarial Linear Mixture MDPs NIPS 2023 Difference-in-Differences Meets Tree-based Methods: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding ICML 2023 SAIL: Self-Augmented Graph Contrastive Learning AAAI 2022 Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding NIPS 2022 Robust Direct Learning for Causal Data Fusion ACML 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