Vincent Liu

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 61

Top Topics

Reinforcement Learning

Top Venues

Publications

Vincent Liu, James R. Wright, Martha White
Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning (Abstract Reprint). AAAI (2024)
Han Wang, Erfan Miahi, Martha White, Marlos C. Machado, Zaheer Abbas, Raksha Kumaraswamy, Vincent Liu, Adam White
Investigating the properties of neural network representations in reinforcement learning. Artif. Intell. 330 (2024)
Alex Ayoub, Kaiwen Wang, Vincent Liu, Samuel Robertson, James McInerney, Dawen Liang, Nathan Kallus, Csaba Szepesvári
Switching the Loss Reduces the Cost in Batch Reinforcement Learning. CoRR (2024)
Debarati Das, Karin de Langis, Anna Martin-Boyle, Jaehyung Kim, Minhwa Lee, Zae Myung Kim, Shirley Anugrah Hayati, Risako Owan, Bin Hu, Ritik Parkar, Ryan Koo, Jong Inn Park, Aahan Tyagi, Libby Ferland, Sanjali Roy, Vincent Liu, Dongyeop Kang
Under the Surface: Tracking the Artifactuality of LLM-Generated Data. CoRR (2024)
Zhuohan Li, Lianmin Zheng, Yinmin Zhong, Vincent Liu, Ying Sheng, Xin Jin, Yanping Huang, Zhifeng Chen, Hao Zhang, Joseph E. Gonzalez, Ion Stoica
AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving. OSDI (2023)
Zhuohan Li, Lianmin Zheng, Yinmin Zhong, Vincent Liu, Ying Sheng, Xin Jin, Yanping Huang, Zhifeng Chen, Hao Zhang, Joseph E. Gonzalez, Ion Stoica
AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving. CoRR (2023)
Vincent Liu, Prabhat Nagarajan, Andrew Patterson, Martha White
When is Offline Policy Selection Sample Efficient for Reinforcement Learning? CoRR (2023)
Vincent Liu, Yash Chandak, Philip S. Thomas, Martha White
Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments. CoRR (2023)
Vincent Liu, Han Wang, Ruo Yu Tao, Khurram Javed, Adam White, Martha White
Measuring and Mitigating Interference in Reinforcement Learning. CoLLAs (2023)
Vincent Liu, Han Wang, Ruo Yu Tao, Khurram Javed, Adam White, Martha White
Measuring and Mitigating Interference in Reinforcement Learning. CoRR (2023)
Vincent Liu, Yash Chandak, Philip S. Thomas, Martha White
Asymptotically Unbiased Off-Policy Policy Evaluation when Reusing Old Data in Nonstationary Environments. AISTATS (2023)
Vincent Liu, James R. Wright, Martha White
Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning. J. Artif. Intell. Res. 77 (2023)
Liangcheng Yu, John Sonchack, Vincent Liu
Cebinae: scalable in-network fairness augmentation. SIGCOMM (2022)
Nofel Yaseen, Liangcheng Yu, Caleb Stanford, Ryan Beckett, Vincent Liu
FP4: Line-rate Greybox Fuzz Testing for P4 Switches. CoRR (2022)
Han Wang, Archit Sakhadeo, Adam M. White, James Bell, Vincent Liu, Xutong Zhao, Puer Liu, Tadashi Kozuno, Alona Fyshe, Martha White
No More Pesky Hyperparameters: Offline Hyperparameter Tuning for RL. Trans. Mach. Learn. Res. 2022 (2022)
Liangcheng Yu, John Sonchack, Vincent Liu
OrbWeaver: Using IDLE Cycles in Programmable Networks for Opportunistic Coordination. NSDI (2022)
Vincent Liu, Chris Manzie, Peter M. Dower
Constraint Handling of an Airbreathing Hypersonic Vehicle via Predictive Reference Management. ACC (2022)
Han Wang, Archit Sakhadeo, Adam White, James Bell, Vincent Liu, Xutong Zhao, Puer Liu, Tadashi Kozuno, Alona Fyshe, Martha White
No More Pesky Hyperparameters: Offline Hyperparameter Tuning for RL. CoRR (2022)
Alex Tamkin, Gaurab Banerjee, Mohamed Owda, Vincent Liu, Shashank Rammoorthy, Noah D. Goodman
DABS 2.0: Improved Datasets and Algorithms for Universal Self-Supervision. NeurIPS (2022)
Han Wang, Erfan Miahi, Martha White, Marlos C. Machado, Zaheer Abbas, Raksha Kumaraswamy, Vincent Liu, Adam White
Investigating the Properties of Neural Network Representations in Reinforcement Learning. CoRR (2022)
Yiran Lei, Liangcheng Yu, Vincent Liu, Mingwei Xu
PrintQueue: performance diagnosis via queue measurement in the data plane. SIGCOMM (2022)
Qizhen Zhang, Philip A. Bernstein, Daniel S. Berger, Badrish Chandramouli, Vincent Liu, Boon Thau Loo
CompuCache: Remote Computable Caching using Spot VMs. CIDR (2022)
Qizhen Zhang, Xinyi Chen, Sidharth Sankhe, Zhilei Zheng, Ke Zhong, Sebastian Angel, Ang Chen, Vincent Liu, Boon Thau Loo
Optimizing Data-intensive Systems in Disaggregated Data Centers with TELEPORT. SIGMOD Conference (2022)
Qizhen Zhang, Jiacheng Wu, Ang Chen, Vincent Liu, Boon Thau Loo
Templating Shuffles. CoRR (2022)
Qizhen Zhang, Kelvin K. W. Ng, Charles W. Kazer, Shen Yan, João Sedoc, Vincent Liu
MimicNet: fast performance estimates for data center networks with machine learning. SIGCOMM (2021)
Nofel Yaseen, Behnaz Arzani, Krishna Chintalapudi, Vaishnavi Ranganathan, Felipe Vieira Frujeri, Kevin Hsieh, Daniel S. Berger, Vincent Liu, Srikanth Kandula
Towards a Cost vs. Quality Sweet Spot for Monitoring Networks. CoRR (2021)
Nofel Yaseen, Behnaz Arzani, Krishna Chintalapudi, Vaishnavi Ranganathan, Felipe Vieira Frujeri, Kevin Hsieh, Daniel S. Berger, Vincent Liu, Srikanth Kandula
Towards a Cost vs. Quality Sweet Spot for Monitoring Networks. HotNets (2021)
Alex Tamkin, Vincent Liu, Rongfei Lu, Daniel Fein, Colin Schultz, Noah D. Goodman
DABS: a Domain-Agnostic Benchmark for Self-Supervised Learning. NeurIPS Datasets and Benchmarks (2021)
Alex Tamkin, Vincent Liu, Rongfei Lu, Daniel Fein, Colin Schultz, Noah D. Goodman
DABS: A Domain-Agnostic Benchmark for Self-Supervised Learning. CoRR (2021)
Vincent Liu, James Wright, Martha White
Exploiting Action Impact Regularity and Partially Known Models for Offline Reinforcement Learning. CoRR (2021)
Vincent Liu, Margreta Kuijper
Linear System Security: Detection and Correction of Adversarial Attacks on a Quanser AERO System. ECC (2021)
Jiaqi Gao, Nofel Yaseen, Robert MacDavid, Felipe Vieira Frujeri, Vincent Liu, Ricardo Bianchini, Ramaswamy Aditya, Xiaohang Wang, Henry Lee, David A. Maltz, Minlan Yu, Behnaz Arzani
Scouts: Improving the Diagnosis Process Through Domain-customized Incident Routing. SIGCOMM (2020)
Nofel Yaseen, Behnaz Arzani, Ryan Beckett, Selim Ciraci, Vincent Liu
Aragog: Scalable Runtime Verification of Shardable Networked Systems. OSDI (2020)
Liangcheng Yu, John Sonchack, Vincent Liu
Mantis: Reactive Programmable Switches. SIGCOMM (2020)
Vincent Liu, Adam White, Hengshuai Yao, Martha White
Towards a practical measure of interference for reinforcement learning. CoRR (2020)
Nofel Yaseen, John Sonchack, Vincent Liu
tpprof: A Network Traffic Pattern Profiler. NSDI (2020)
Qizhen Zhang, Yifan Cai, Xinyi Chen, Sebastian Angel, Ang Chen, Vincent Liu, Boon Thau Loo
Understanding the Effect of Data Center Resource Disaggregation on Production DBMSs. Proc. VLDB Endow. 13 (9) (2020)
Somjit Nath, Vincent Liu, Alan Chan, Xin Li, Adam White, Martha White
Training Recurrent Neural Networks Online by Learning Explicit State Variables. ICLR (2020)
Haoran Zhang, Adney Cardoza, Peter Baile Chen, Sebastian Angel, Vincent Liu
Fault-tolerant and transactional stateful serverless workflows. OSDI (2020)
Haoran Zhang, Adney Cardoza, Peter Baile Chen, Sebastian Angel, Vincent Liu
Fault-tolerant and Transactional Stateful Serverless Workflows (extended version). CoRR (2020)
Qizhen Zhang, Yifan Cai, Sebastian Angel, Vincent Liu, Ang Chen, Boon Thau Loo
Rethinking Data Management Systems for Disaggregated Data Centers. CIDR (2020)
Henri Maxime Demoulin, Isaac Pedisich, Nikos Vasilakis, Vincent Liu, Boon Thau Loo, Linh Thi Xuan Phan
Detecting Asymmetric Application-layer Denial-of-Service Attacks In-Flight with Finelame. USENIX Annual Technical Conference (2019)
Brendan Bennett, Wesley Chung, Muhammad Zaheer, Vincent Liu
Incrementally Learning Functions of the Return. CoRR (2019)
Vincent Liu, Ademi Adeniji, Nathaniel Lee, Jason Zhao, Mario Srouji
Recurrent Control Nets for Deep Reinforcement Learning. CoRR (2019)
Qizhen Zhang, Akash Acharya, Hongzhi Chen, Simran Arora, Ang Chen, Vincent Liu, Boon Thau Loo
Optimizing Declarative Graph Queries at Large Scale. SIGMOD Conference (2019)
Vincent Liu, Raksha Kumaraswamy, Lei Le, Martha White
The Utility of Sparse Representations for Control in Reinforcement Learning. AAAI (2019)
Henri Maxime Demoulin, Nikos Vasilakis, John Sonchack, Isaac Pedisich, Vincent Liu, Boon Thau Loo, Linh Thi Xuan Phan, Jonathan M. Smith, Irene Zhang
TMC: Pay-as-you-Go Distributed Communication. APNet (2019)
Wen-Hao Chen, Chin-Chi Hsu, Yi-An Lai, Vincent Liu, Mi-Yen Yeh, Shou-De Lin
Attribute-Aware Recommender System Based on Collaborative Filtering: Survey and Classification. Frontiers Big Data 2 (2019)
Sonja Nowotschin, Manu Setty, Ying-Yi Kuo, Vincent Liu, Vidur Garg, Roshan Sharma, Claire S. Simon, Nestor Saiz, Rui Gardner, Stéphane C. Boutet, Deanna M. Church, Pamela A. Hoodless, Anna-Katerina Hadjantonakis, Dana Pe'er
The emergent landscape of the mouse gut endoderm at single-cell resolution. Nat. 569 (7756) (2019)
Charles W. Kazer, João Sedoc, Kelvin K. W. Ng, Vincent Liu, Lyle H. Ungar
Fast Network Simulation Through Approximation or: How Blind Men Can Describe Elephants. HotNets (2018)
Vincent Liu, Raksha Kumaraswamy, Lei Le, Martha White
The Utility of Sparse Representations for Control in Reinforcement Learning. CoRR (2018)
Wen-Hao Chen, Chin-Chi Hsu, Yi-An Lai, Vincent Liu, Mi-Yen Yeh, Shou-De Lin
Attribute-aware Collaborative Filtering: Survey and Classification. CoRR (2018)
Nofel Yaseen, John Sonchack, Vincent Liu
Synchronized network snapshots. SIGCOMM (2018)
Qiao Zhang, Danyang Zhuo, Vincent Liu, Petr Lapukhov, Simon Peter, Arvind Krishnamurthy, Thomas E. Anderson
Volur: Concurrent Edge/Core Route Control in Data Center Networks. CoRR (2018)
Qiao Zhang, Vincent Liu, Hongyi Zeng, Arvind Krishnamurthy
High-resolution measurement of data center microbursts. Internet Measurement Conference (2017)
Qizhen Zhang, Tengyuan Ye, Meryem Essaidi, Shivani Agarwal, Vincent Liu, Boon Thau Loo
Predicting Startup Crowdfunding Success through Longitudinal Social Engagement Analysis. CIKM (2017)
Danyang Zhuo, Qiao Zhang, Xin Yang, Vincent Liu
Canaries in the Network. HotNets (2016)
Danyang Zhuo, Qiao Zhang, Vincent Liu, Arvind Krishnamurthy, Thomas E. Anderson
Rack-level Congestion Control. HotNets (2016)
Patricia Kipnis, Benjamin J. Turk, David A. Wulf, Juan Carlos LaGuardia, Vincent Liu, Matthew M. Churpek, Santiago Romero-Brufau, Gabriel J. Escobar
Development and validation of an electronic medical record-based alert score for detection of inpatient deterioration outside the ICU. J. Biomed. Informatics 64 (2016)
Dan R. K. Ports, Jialin Li, Vincent Liu, Naveen Kr. Sharma, Arvind Krishnamurthy
Designing Distributed Systems Using Approximate Synchrony in Data Center Networks. NSDI (2015)
Vincent Liu, Danyang Zhuo, Simon Peter, Arvind Krishnamurthy, Thomas E. Anderson
Subways: a case for redundant, inexpensive data center edge links. CoNEXT (2015)
Vincent Liu, Vamsi Talla, Shyamnath Gollakota
Enabling instantaneous feedback with full-duplex backscatter. MobiCom (2014)
Vincent Liu, Mark P. Clark, Mark Mendoza, Ramin Saket, Marla N. Gardner, Benjamin J. Turk, Gabriel J. Escobar
Automated identification of pneumonia in chest radiograph reports in critically ill patients. BMC Medical Informatics Decis. Mak. 13 (2013)
Vincent Liu, Daniel Halperin, Arvind Krishnamurthy, Thomas E. Anderson
F10: A Fault-Tolerant Engineered Network. NSDI (2013)
Vincent Liu, Aaron N. Parks, Vamsi Talla, Shyamnath Gollakota, David Wetherall, Joshua R. Smith
Ambient backscatter: wireless communication out of thin air. SIGCOMM (2013)
Seungyeop Han, Vincent Liu, Qifan Pu, Simon Peter, Thomas E. Anderson, Arvind Krishnamurthy, David Wetherall
Expressive privacy control with pseudonyms. SIGCOMM (2013)
Vincent Liu, Seungyeop Han, Arvind Krishnamurthy, Thomas E. Anderson
Tor instead of IP. HotNets (2011)