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Na Li

45 papers · 2016–2026 · 11 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.

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+12 more ↓ πŸ—ΊοΈ Taxonomy Completionist (75) 🌍 Conference Polyglot Β· Gold πŸƒ Academic Marathon Β· Half πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ”¬ Deep Specialist (10) πŸ† Keyword Champion πŸ‘‘ Triple Crown πŸ† Grand Slam πŸš€ Conference Pioneer πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze 🌈 Renaissance Researcher (9) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (215)

Papers

Adaptive Diffusion-based Augmentation for Recommendation AAAI 2026 Enhancing Stability and Fidelity for Zero-Shot TTS with a Multi-Level Evaluator AAAI 2026 LILAD: Learning In-context Lyapunov-stable Adaptive Dynamics Models AAAI 2026 3D Dynamic Prediction of Missing Teeth in Diverse Patterns via Centroid-prompted Diffusion Model MICCAI 2025 Advancing Fairness in Precision Medicine: A Universal Framework for Optimal Treatment Estimation in Censored Data AISTATS 2025 Efficient Duple Perturbation Robustness in Low-rank MDPs L4DC 2025 Efficient Online Reinforcement Learning for Diffusion Policy ICML 2025 Primal-Dual Spectral Representation for Off-policy Evaluation AISTATS 2025 Scalable spectral representations for multiagent reinforcement learning in network MDPs AISTATS 2025 CONTOR: Benchmarking Strategies for Completing Ontologies with Plausible Missing Rules EMNLP 2024 Enhancing Preference-based Linear Bandits via Human Response Time NeurIPS 2024 LDM-SVC: Latent Diffusion Model Based Zero-Shot Any-to-Any Singing Voice Conversion with Singer Guidance Interspeech 2024 Learning Low-dimensional Latent Dynamics from High-dimensional Observations: Non-asymptotics and Lower Bounds ICML 2024 Modelling Commonsense Commonalities with Multi-Facet Concept Embeddings ACL 2024 MPC-inspired reinforcement learning for verifiable model-free control L4DC 2024 Multi-agent coverage control with transient behavior consideration L4DC 2024 Provable Memory Efficient Self-Play Algorithm for Model-free Reinforcement Learning ICLR 2024 Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity ICLR 2024 Escaping saddle points in zeroth-order optimization: the power of two-point estimators ICML 2023 FedDAR: Federated Domain-Aware Representation Learning ICLR 2023 Latent Variable Representation for Reinforcement Learning ICLR 2023 Learning to Optimize with Stochastic Dominance Constraints AISTATS 2023 Multi-Agent Reinforcement Learning with Reward Delays L4DC 2023 On Controller Reduction in Linear Quadratic Gaussian Control with Performance Bounds L4DC 2023 Online switching control with stability and regret guarantees L4DC 2023 Ultra-Fine Entity Typing with Prior Knowledge about Labels: A Simple Clustering Based Strategy EMNLP 2023 What do Deck Chairs and Sun Hats Have in Common? Uncovering Shared Properties in Large Concept Vocabularies EMNLP 2023 Cross-Age Speaker Verification: Learning Age-Invariant Speaker Embeddings Interspeech 2022 Improve Single-Point Zeroth-Order Optimization Using High-Pass and Low-Pass Filters ICML 2022 On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games NeurIPS 2022 Policy Optimization for Markov Games: Unified Framework and Faster Convergence NeurIPS 2022 Analysis of the Optimization Landscape of Linear Quadratic Gaussian (LQG) Control L4DC 2021 Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings IJCAI 2021 Online Optimal Control with Affine Constraints AAAI 2021 Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems L4DC 2021 Attention as Relation: Learning Supervised Multi-head Self-Attention for Relation Extraction IJCAI 2020 Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach L4DC 2020 Investigating Robustness of Adversarial Samples Detection for Automatic Speaker Verification Interspeech 2020 Leveraging Predictions in Smoothed Online Convex Optimization via Gradient-based Algorithms NeurIPS 2020 Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward NeurIPS 2020 Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems L4DC 2020 Network Embedding with Dual Generation Tasks IJCAI 2019 Online Optimal Control with Linear Dynamics and Predictions: Algorithms and Regret Analysis NeurIPS 2019 Deep Discriminative Embeddings for Duration Robust Speaker Verification Interspeech 2018 Incentivizing Reliability in Demand-Side Response IJCAI 2016