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Author Information
Wen Sun (Cornell University)
Shixia Liu (Tsinghua University)
Shixia Liu is a professor at Tsinghua University. Her research interests include explainable machine learning, visual text analytics, and text mining. Before joining Tsinghua University, she worked as a lead researcher at Microsoft Research Asia and a research staff member and research manager at IBM China Research Lab. Shixia was elevated to an IEEE Fellow in 2021 and induced into IEEE Visualization Academy in 2020. She is an associate editor-in-chief of IEEE Transactions on Visualization and Computer Graphics and is an associate editor of IEEE Transactions on Big Data, Artificial Intelligence. She was one of the Papers Co-Chairs of IEEE VIS (VAST) 2016 and 2017 and is in the steering committee of IEEE VIS (2020-2023) and IEEE VDS (2020-2021).
More from the Same Authors
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2021 : Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage »
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2022 : Hybrid RL: Using both offline and online data can make RL efficient »
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2022 : Provable Benefits of Representational Transfer in Reinforcement Learning »
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2023 Poster: Offline Minimax Soft-Q-learning Under Realizability and Partial Coverage »
Masatoshi Uehara · Nathan Kallus · Jason Lee · Wen Sun -
2023 Poster: Teaching Cars to See in a Day: Unsupervised Object Discovery with Reward Fine-tuning »
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2023 Poster: Contextual Bandits and Imitation Learning with Preference-Based Active Queries »
Ayush Sekhari · Karthik Sridharan · Wen Sun · Runzhe Wu -
2023 Poster: The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement Learning »
Kaiwen Wang · Kevin Zhou · Runzhe Wu · Nathan Kallus · Wen Sun -
2023 Poster: Selective Sampling and Imitation Learning via Online Regression »
Ayush Sekhari · Karthik Sridharan · Wen Sun · Runzhe Wu -
2023 Poster: Future-Dependent Value-Based Off-Policy Evaluation in POMDPs »
Masatoshi Uehara · Haruka Kiyohara · Andrew Bennett · Victor Chernozhukov · Nan Jiang · Nathan Kallus · Chengchun Shi · Wen Sun -
2022 Poster: Provably Efficient Reinforcement Learning in Partially Observable Dynamical Systems »
Masatoshi Uehara · Ayush Sekhari · Jason Lee · Nathan Kallus · Wen Sun -
2021 : Representation Learning for Online and Offline RL in Low-rank MDPs »
Masatoshi Uehara · Xuezhou Zhang · Wen Sun -
2021 : Representation Learning for Online and Offline RL in Low-rank MDPs »
Masatoshi Uehara · Xuezhou Zhang · Wen Sun -
2021 : [IT1] Visual Analytics for Explainable Machine Learning »
Shixia Liu -
2021 : Speaker Introduction »
Wen Sun -
2021 Workshop: eXplainable AI approaches for debugging and diagnosis »
Roberto Capobianco · Biagio La Rosa · Leilani Gilpin · Wen Sun · Alice Xiang · Alexander Feldman