Xi Liu

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 39

Top Topics

Transportation Systems

Reinforcement Learning

Maximum Likelihood Estimation

Top Venues

Publications

Wei Hung, Bo-Kai Huang, Ping-Chun Hsieh, Xi Liu
Q-Pensieve: Boosting Sample Efficiency of Multi-Objective RL Through Memory Sharing of Q-Snapshots. ICLR (2023)
Hsin-En Su, Yen-Ju Chen, Ping-Chun Hsieh, Xi Liu
Coordinate Ascent for Off-Policy RL with Global Convergence Guarantees. AISTATS (2023)
Wei Hung, Bo-Kai Huang, Ping-Chun Hsieh, Xi Liu
Q-Pensieve: Boosting Sample Efficiency of Multi-Objective RL Through Memory Sharing of Q-Snapshots. CoRR (2022)
Tao Liu, P. R. Kumar, Ruida Zhou, Xi Liu
Learning from Few Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales. NeurIPS (2022)
Hsin-En Su, Yen-Ju Chen, Ping-Chun Hsieh, Xi Liu
Coordinate Ascent for Off-Policy RL with Global Convergence Guarantees. CoRR (2022)
Bing-Jing Hsieh, Ping-Chun Hsieh, Xi Liu
Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization. NeurIPS (2021)
Yu-Heng Hung, Ping-Chun Hsieh, Xi Liu, P. R. Kumar
Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits. AAAI (2021)
Bing-Jing Hsieh, Ping-Chun Hsieh, Xi Liu
Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization. CoRR (2021)
Jyun-Li Lin, Wei Hung, Shang-Hsuan Yang, Ping-Chun Hsieh, Xi Liu
Escaping from zero gradient: Revisiting action-constrained reinforcement learning via Frank-Wolfe policy optimization. UAI (2021)
Tao Liu, P. R. Kumar, Xi Liu
Learning from Small Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales. CoRR (2021)
Jyun-Li Lin, Wei Hung, Shang-Hsuan Yang, Ping-Chun Hsieh, Xi Liu
Escaping from Zero Gradient: Revisiting Action-Constrained Reinforcement Learning via Frank-Wolfe Policy Optimization. CoRR (2021)
Akshay Mete, Rahul Singh, Xi Liu, P. R. Kumar
Reward Biased Maximum Likelihood Estimation for Reinforcement Learning. L4DC (2021)
Ping-Chun Hsieh, Xi Liu, I-Hong Hou
Fresher content or smoother playback?: a brownian-approximation framework for scheduling real-time wireless video streams. MobiHoc (2020)
Hanzi Mao, Xi Liu, Nick Duffield, Hao Yuan, Shuiwang Ji, Binayak P. Mohanty
Context-aware Deep Representation Learning for Geo-spatiotemporal Analysis. ICDM (2020)
Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang
Micro- and macro-level churn analysis of large-scale mobile games. Knowl. Inf. Syst. 62 (4) (2020)
Yu-Heng Hung, Ping-Chun Hsieh, Xi Liu, P. R. Kumar
Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits. CoRR (2020)
Xi Liu, Li Li, Ping-Chun Hsieh, Muhe Xie, Yong Ge, Rui Chen
Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning. CoRR (2020)
Xi Liu, Ping-Chun Hsieh, Yu-Heng Hung, Anirban Bhattacharya, P. R. Kumar
Exploration Through Reward Biasing: Reward-Biased Maximum Likelihood Estimation for Stochastic Multi-Armed Bandits. ICML (2020)
Ping-Chun Hsieh, Xi Liu, I-Hong Hou
Fresher Content or Smoother Playback? A Brownian-Approximation Framework for Real-Time Video Delivery in Wireless Networks. CoRR (2019)
Xidao Wen, Yu-Ru Lin, Xi Liu, Peter Brusilovsky, Jordan Barria-Pineda
Iterative Discriminant Tensor Factorization for Behavior Comparison in Massive Open Online Courses. WWW (2019)
Xi Liu, Ping-Chun Hsieh, Nick Duffield, Rui Chen, Muhe Xie, Xidao Wen
Real-Time Streaming Graph Embedding Through Local Actions. WWW (Companion Volume) (2019)
Ping-Chun Hsieh, Xi Liu, Anirban Bhattacharya, P. R. Kumar
Stay With Me: Lifetime Maximization Through Heteroscedastic Linear Bandits With Reneging. ICML (2019)
Xianshan Qu, Li Li, Xi Liu, Rui Chen, Yong Ge, Soo-Hyun Choi
A Dynamic Neural Network Model for Click-Through Rate Prediction in Real-Time Bidding. IEEE BigData (2019)
Arman Hasanzadeh, Xi Liu, Nick Duffield, Krishna R. Narayanan
Piecewise Stationary Modeling of Random Processes Over Graphs With an Application to Traffic Prediction. IEEE BigData (2019)
Xidao Wen, Konstantinos Pelechrinis, Yu-Ru Lin, Xi Liu, Yongsu Ahn, Nan Cao
FacIt: Factorizing Tensors into Interpretable and Scrutinizable Patterns. IEEE VIS (Short Papers) (2019)
Xi Liu, Ping-Chun Hsieh, Anirban Bhattacharya, P. R. Kumar
Bandit Learning Through Biased Maximum Likelihood Estimation. CoRR (2019)
Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang
Micro- and Macro-Level Churn Analysis of Large-Scale Mobile Games. CoRR (2019)
Xi Liu, Ke Ma, P. R. Kumar
Towards Provably Safe Mixed Transportation Systems with Human-driven and Automated Vehicles. CoRR (2018)
Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang
A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games. ICDM (2018)
Xi Liu, Ping-Chun Hsieh, Nick Duffield, Rui Chen, Muhe Xie, Xidao Wen
Streaming Network Embedding through Local Actions. CoRR (2018)
Ping-Chun Hsieh, Xi Liu, Anirban Bhattacharya, P. R. Kumar
Heteroscedastic Bandits with Reneging. CoRR (2018)
Xi Liu, Ping-Chun Hsieh, P. R. Kumar
Safe Intersection Management for Mixed Transportation Systems with Human-Driven and Autonomous Vehicles. CoRR (2018)
Xi Liu, Ping-Chun Hsieh, P. R. Kumar
Safe Intersection Management for Mixed Transportation Systems with Human-Driven and Autonomous Vehicles. Allerton (2018)
Xi Liu, Muhe Xie, Xidao Wen, Rui Chen, Yong Ge, Nick Duffield, Na Wang
A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games. CoRR (2018)
Ping-Chun Hsieh, Xi Liu, Jian Jiao, I-Hong Hou, Yunlong Zhang, P. R. Kumar
Throughput-Optimal Scheduling for Multi-Hop Networked Transportation Systems With Switch-Over Delay. MobiHoc (2017)
Ping-Chun Hsieh, I-Hong Hou, Xi Liu
Delay-Optimal Scheduling for Queueing Systems with Switching Overhead. CoRR (2017)
Ping-Chun Hsieh, Xi Liu, Jian Jiao, I-Hong Hou, Yunlong Zhang, P. R. Kumar
Throughput-Optimal Scheduling for Multi-Hop Networked Transportation Systems With Switch-Over Delay. CoRR (2017)
Xi Liu, P. R. Kumar
Towards safety of transportation systems with a mixture of automated and human-driven vehicles. COMSNETS (2016)
Xi Liu, Ke Ma, P. R. Kumar
Towards provably safe mixed transportation systems with human-driven and automated vehicles. CDC (2015)