Na Li
45 papers · 2016–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (21) π Interdisciplinary Bridge π Renaissance Researcher (7) π£ Hot Topic Early Bird
π
Academic Marathon
(9)
πΊοΈ
Taxonomy Completionist
(21)
π§
Keyword Pioneer
π
Grand Slam
π
Keyword Champion
π
Triple Crown
ποΈ
Keyword Collector
(171)
β‘
Prolific Year
(6)
π
Conference Pioneer
π
Century Club
(42)
π₯
Unstoppable
(8)
π
Trend Setter
β
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
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