Xi Liu
22 papers · 2015–2025 · 15 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (10) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (15) π Cross-Pollinator (9)
π
Cross-Pollinator
(9)
π
Renaissance Researcher
(9)
πΊοΈ
Taxonomy Completionist
(44)
π
Grand Slam
π§¬
Topic Evolution
β‘
Prolific Year
(5)
π
Conference Pioneer
ποΈ
Keyword Collector
(91)
π
Century Club
(22)
π₯
Unstoppable
(8)
Conferences
ICML (3)
NIPS (3)
ICCV (2)
ICLR (2)
MICCAI (2)
AAAI (1)
ACL (1)
AISTATS (1)
COLING (1)
CVPR (1)
IJCAI (1)
INTERSPEECH (1)
L4DC (1)
NSDI (1)
UAI (1)
Top co-authors
Keywords
regret bound
(4)
reinforcement learning
(3)
multi-armed bandit
(3)
reward-biased maximum likelihood estimation
(2)
maximum likelihood estimation
(2)
linear bandit
(2)
ensemble learning
(1)
multi-modal learning
(1)
policy optimization
(1)
incremental learning
(1)
global convergence
(1)
neural rendering
(1)
constrained optimization
(1)
speech enhancement
(1)
image generation
(1)
early exit
(1)
markov decision process
(1)
video generation
(1)
diffusion process
(1)
tensor decomposition
(1)
Papers
The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit
ACL 2025
Latent Radiance Fields with 3D-aware 2D Representations
ICLR 2025
ARIG: Autoregressive Interactive Head Generation for Real-time Conversations
ICCV 2025
EEG-DINO: Learning EEG Foundation Models via Hierarchical Self-Distillation
MICCAI 2025
LUCIDA: Low-dose Universal-tissue CT Image Domain Adaptation For Medical Segmentation
MICCAI 2024
DNN-based monaural speech enhancement using alternate analysis windows for phase and magnitude modification
INTERSPEECH 2024
3DGS-Enhancer: Enhancing Unbounded 3D Gaussian Splatting with View-consistent 2D Diffusion Priors
NIPS 2024
CustomListener: Text-guided Responsive Interaction for User-friendly Listening Head Generation
CVPR 2024
Wukong: Towards a Scaling Law for Large-Scale Recommendation
ICML 2024
Q-Pensieve: Boosting Sample Efficiency of Multi-Objective RL Through Memory Sharing of Q-Snapshots
ICLR 2023
Coordinate Ascent for Off-Policy RL with Global Convergence Guarantees
AISTATS 2023
AccFlow: Backward Accumulation for Long-Range Optical Flow
ICCV 2023
PingAnTech at SMM4H task1: Multiple pre-trained model approaches for Adverse Drug Reactions
COLING 2022
Learning from Few Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales
NIPS 2022
Escaping from zero gradient: Revisiting action-constrained reinforcement learning via Frank-Wolfe policy optimization
UAI 2021
Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits
AAAI 2021
Reward Biased Maximum Likelihood Estimation for Reinforcement Learning
L4DC 2021
Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization
NIPS 2021
Exploration Through Reward Biasing: Reward-Biased Maximum Likelihood Estimation for Stochastic Multi-Armed Bandits
ICML 2020
Stay With Me: Lifetime Maximization Through Heteroscedastic Linear Bandits With Reneging
ICML 2019
MUSCAT: Multi-Scale Spatio-Temporal Learning with Application to Climate Modeling
IJCAI 2018
C3: Internet-Scale Control Plane for Video Quality Optimization
NSDI 2015