Na Li

45 papers · 2016–2026 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (7) 🌍 Conference Polyglot (11) 🐝 Cross-Pollinator (6) 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (9) 🗺️ Taxonomy Completionist (21) 🧭 Keyword Pioneer 🏆 Grand Slam 🏆 Keyword Champion 👑 Triple Crown 🗃️ Keyword Collector (171) ⚡ Prolific Year (6) 🚀 Conference Pioneer 💎 Century Club (42) 🔥 Unstoppable (8) 📈 Trend Setter ❓ The Questioner

Conferences

L4DC (10) NIPS (6) AAAI (4) AISTATS (4) ICLR (4) ICML (4) IJCAI (4) INTERSPEECH (4) EMNLP (3) ACL (1) MICCAI (1)

Top co-authors

Runyu Zhang (7) Bo Dai (7) Steven Schockaert (5) Zied Bouraoui (5) Yingying Li (5) Zhaolin Ren (5) Yujie Tang (4) Dong Yu (3) Dale Schuurmans (3) Yang Zheng (3)

Keywords

multi-agent reinforcement learning (4) policy optimization (3) entity typing (3) diffusion model (2) multi-agent system (2) networked system (2) concept embedding (2) dynamical system (2) coarse correlated equilibrium (2) speaker verification (2) regret bound (2) linear quadratic gaussian control (2) ontology completion (2) online optimal control (2) zeroth-order optimization (2) nash equilibrium (2) localized policy (2) preference alignment (1) attention mechanism (1) nonconvex optimization (1)

Papers

Adaptive Diffusion-based Augmentation for Recommendation AAAI 2026

LILAD: Learning In-context Lyapunov-stable Adaptive Dynamics Models AAAI 2026

Enhancing Stability and Fidelity for Zero-Shot TTS with a Multi-Level Evaluator AAAI 2026

3D Dynamic Prediction of Missing Teeth in Diverse Patterns via Centroid-prompted Diffusion Model MICCAI 2025

Efficient Duple Perturbation Robustness in Low-rank MDPs L4DC 2025

Scalable spectral representations for multiagent reinforcement learning in network MDPs AISTATS 2025

Efficient Online Reinforcement Learning for Diffusion Policy ICML 2025

Primal-Dual Spectral Representation for Off-policy Evaluation AISTATS 2025

Advancing Fairness in Precision Medicine: A Universal Framework for Optimal Treatment Estimation in Censored Data AISTATS 2025

Multi-agent coverage control with transient behavior consideration L4DC 2024

Enhancing Preference-based Linear Bandits via Human Response Time NIPS 2024

Modelling Commonsense Commonalities with Multi-Facet Concept Embeddings ACL 2024

CONTOR: Benchmarking Strategies for Completing Ontologies with Plausible Missing Rules EMNLP 2024

Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity ICLR 2024

Provable Memory Efficient Self-Play Algorithm for Model-free Reinforcement Learning ICLR 2024

Learning Low-dimensional Latent Dynamics from High-dimensional Observations: Non-asymptotics and Lower Bounds ICML 2024

LDM-SVC: Latent Diffusion Model Based Zero-Shot Any-to-Any Singing Voice Conversion with Singer Guidance INTERSPEECH 2024

MPC-inspired reinforcement learning for verifiable model-free control L4DC 2024

Online switching control with stability and regret guarantees L4DC 2023

Multi-Agent Reinforcement Learning with Reward Delays L4DC 2023

Escaping saddle points in zeroth-order optimization: the power of two-point estimators ICML 2023

Latent Variable Representation for Reinforcement Learning ICLR 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

On Controller Reduction in Linear Quadratic Gaussian Control with Performance Bounds L4DC 2023

Learning to Optimize with Stochastic Dominance Constraints AISTATS 2023

FedDAR: Federated Domain-Aware Representation Learning ICLR 2023

On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games NIPS 2022

Cross-Age Speaker Verification: Learning Age-Invariant Speaker Embeddings INTERSPEECH 2022

Policy Optimization for Markov Games: Unified Framework and Faster Convergence NIPS 2022

Improve Single-Point Zeroth-Order Optimization Using High-Pass and Low-Pass Filters ICML 2022

Online Optimal Control with Affine Constraints AAAI 2021

Modelling General Properties of Nouns by Selectively Averaging Contextualised Embeddings IJCAI 2021

Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems L4DC 2021

Analysis of the Optimization Landscape of Linear Quadratic Gaussian (LQG) Control L4DC 2021

Attention as Relation: Learning Supervised Multi-head Self-Attention for Relation Extraction IJCAI 2020

Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems L4DC 2020

Leveraging Predictions in Smoothed Online Convex Optimization via Gradient-based Algorithms NIPS 2020

Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward NIPS 2020

Investigating Robustness of Adversarial Samples Detection for Automatic Speaker Verification INTERSPEECH 2020

Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach L4DC 2020

Online Optimal Control with Linear Dynamics and Predictions: Algorithms and Regret Analysis NIPS 2019

Network Embedding with Dual Generation Tasks IJCAI 2019

Deep Discriminative Embeddings for Duration Robust Speaker Verification INTERSPEECH 2018

Incentivizing Reliability in Demand-Side Response IJCAI 2016