Yexiang Xue

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Purdue University ∙ cornell university

PhD candidate in the Department of Computer Science at Cornell University, Research Intern at Microsoft year 2013

Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo Approach

Generating natural language under complex constraints is a principled fo...
11/24/2020 ∙ by Maosen Zhang, et al. ∙ 0 ∙ share

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AdaWISH: Faster Discrete Integration via Adaptive Quantiles

Discrete integration in a high dimensional space of n variables poses fu...
10/13/2019 ∙ by Fan Ding, et al. ∙ 15 ∙ share

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DESK: A Robotic Activity Dataset for Dexterous Surgical Skills Transfer to Medical Robots

Datasets are an essential component for training effective machine learn...
03/03/2019 ∙ by Naveen Madapana, et al. ∙ 0 ∙ share

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Imitation Refinement

Many real-world tasks involve identifying patterns from data satisfying ...
05/07/2018 ∙ by Junwen Bai, et al. ∙ 0 ∙ share

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End-to-End Learning for the Deep Multivariate Probit Model

The multivariate probit model (MVP) is a popular classic model for study...
03/22/2018 ∙ by Di Chen, et al. ∙ 0 ∙ share

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Scalable Relaxations of Sparse Packing Constraints: Optimal Biocontrol in Predator-Prey Network

Cascades represent rapid changes in networks. A cascading phenomenon of ...
11/18/2017 ∙ by Johan Bjorck, et al. ∙ 0 ∙ share

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Multi-Entity Dependence Learning with Rich Context via Conditional Variational Auto-encoder

Multi-Entity Dependence Learning (MEDL) explores conditional correlation...
09/17/2017 ∙ by Luming Tang, et al. ∙ 0 ∙ share

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XOR-Sampling for Network Design with Correlated Stochastic Events

Many network optimization problems can be formulated as stochastic netwo...
05/23/2017 ∙ by Xiaojian Wu, et al. ∙ 0 ∙ share

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Solving Marginal MAP Problems with NP Oracles and Parity Constraints

Arising from many applications at the intersection of decision making an...
10/08/2016 ∙ by Yexiang Xue, et al. ∙ 0 ∙ share

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Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery

High-Throughput materials discovery involves the rapid synthesis, measur...
10/03/2016 ∙ by Yexiang Xue, et al. ∙ 0 ∙ share

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Deep Multi-Species Embedding

Understanding how species are distributed across landscapes over time is...
09/28/2016 ∙ by Di Chen, et al. ∙ 0 ∙ share

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Variable Elimination in the Fourier Domain

The ability to represent complex high dimensional probability distributi...
08/17/2015 ∙ by Yexiang Xue, et al. ∙ 0 ∙ share

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Yexiang Xue

Featured Co-authors

Stefano Ermon

Lei Li

Ashish Sabharwal

Nan Jiang

Zhiyuan Li

Di Chen

Bart Selman

Carla P. Gomes

Ronan Le Bras

Carla Gomes

Shuo Chen

Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo Approach

AdaWISH: Faster Discrete Integration via Adaptive Quantiles

DESK: A Robotic Activity Dataset for Dexterous Surgical Skills Transfer to Medical Robots

Imitation Refinement

End-to-End Learning for the Deep Multivariate Probit Model

Scalable Relaxations of Sparse Packing Constraints: Optimal Biocontrol in Predator-Prey Network

Multi-Entity Dependence Learning with Rich Context via Conditional Variational Auto-encoder

XOR-Sampling for Network Design with Correlated Stochastic Events

Solving Marginal MAP Problems with NP Oracles and Parity Constraints

Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery

Deep Multi-Species Embedding

Variable Elimination in the Fourier Domain