Vincent Liu
19 papers · 2013–2026 · 7 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.
Achievements
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πΊοΈ Taxonomy Completionist (31) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π Grand Slam
π
Trend Setter
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(111)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Conference Pioneer
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Renaissance Researcher
(6)
Top co-authors
Research topics
Machine Learning
(10)
Computer Science
(7)
Systems
(7)
Core Methods
(5)
Optimization & Theory
(5)
Reinforcement Learning
(4)
Application Areas
(4)
Learning Types
(4)
Methods Β· Reinforcement Learning
(4)
Deep Learning
(3)
Data Science & Analytics
(2)
Knowledge & Reasoning
(2)
Mathematics & Optimization
(2)
Applications
(2)
Methods Β· Data Science & Analytics
(2)
Keywords
fault tolerance
(2)
fitted q-iteration
(2)
online learning
(1)
domain adaptation
(1)
sparse representation
(1)
self-supervised learning
(1)
network monitoring
(1)
model parallelism
(1)
markov decision process
(1)
pattern recognition
(1)
transfer learning
(1)
batch reinforcement learning
(1)
performance evaluation
(1)
offline reinforcement learning
(1)
log loss
(1)
state representation learning
(1)
contextual bandit
(1)
recurrent neural network
(1)
benchmark dataset
(1)
reinforcement learning
(1)
Papers
CCEval: Accurately and Confidently Evaluating Performance Metrics of Congestion Control Algorithms for Datacenter Networks
NSDI 2026
Accelerating Design Space Exploration for LLM Training Systems with Multi-experiment Parallel Simulation
NSDI 2025
Enabling Silent Telemetry Data Transmission with InvisiFlow
NSDI 2025
Beaver: Practical Partial Snapshots for Distributed Cloud Services
OSDI 2024
Cloudcast: High-Throughput, Cost-Aware Overlay Multicast in the Cloud
NSDI 2024
Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning (Abstract Reprint)
AAAI 2024
MuCache: A General Framework for Caching in Microservice Graphs
NSDI 2024
Switching the Loss Reduces the Cost in Batch Reinforcement Learning
ICML 2024
AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving
OSDI 2023
Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments
AISTATS 2023
DABS 2.0: Improved Datasets and Algorithms for Universal Self-Supervision
NeurIPS 2022
OrbWeaver: Using IDLE Cycles in Programmable Networks for Opportunistic Coordination
NSDI 2022
Aragog: Scalable Runtime Verification of Shardable Networked Systems
OSDI 2020
Fault-tolerant and transactional stateful serverless workflows
OSDI 2020
tpprof: A Network Traffic Pattern Profiler
NSDI 2020
Training Recurrent Neural Networks Online by Learning Explicit State Variables
ICLR 2020
The Utility of Sparse Representations for Control in Reinforcement Learning
AAAI 2019
Designing Distributed Systems Using Approximate Synchrony in Data Center Networks
NSDI 2015
F10: A Fault-Tolerant Engineered Network
NSDI 2013