Jian Peng - Dissemin

Papers authored by Jian Peng

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2019 Zhizhou Ren, Kefan Dong, Yuan Zhou, Qiang Liu, Jian Peng

Exploration via Hindsight Goal Generation

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Yang Liu, Yunan Luo, Yuanyi Zhong, Xi Chen, Qiang Liu, Jian Peng

Sequence Modeling of Temporal Credit Assignment for Episodic Reinforcement Learning

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Iou-Jen Liu, Jian Peng

, Alexander G. Schwing

Knowledge Flow: Improve Upon Your Teachers

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Wei-Ye Zhao, Jian Peng

Stochastic Variance Reduction for Deep Q-learning

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This paper is made freely available by the publisher.

2018 Sheng Wang, Jianzhu Ma

, Wei Zhang, John Paul Shen, Justin Huang, Jian Peng

, Trey Ideker

Typing tumors using pathways selected by somatic evolution

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This paper was not found in any repository, but could be made available legally by the author.

Yunan Luo

, Kaiyu Guan

, Jian Peng

STAIR: A generic and fully-automated method to fuse multiple sources of optical satellite data to generate a high-resolution, daily and cloud-/gap-free surface reflectance product

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Hyunghoon Cho, Bonnie Berger, Jian Peng

Generalizable and Scalable Visualization of Single-Cell Data Using Neural Networks

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Jiaqi Guan, Yang Liu, Qiang Liu, Jian Peng

Energy-efficient Amortized Inference with Cascaded Deep Classifiers

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Jinglin Chen, Jian Peng

, Qiang Liu

Efficient Localized Inference for Large Graphical Models

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Yaping Cai, Kaiyu Guan

, Jian Peng

, Shaowen Wang, Christopher Seifert, Brian Wardlow, Zhan Li

A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach

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Liyuan Liu, Jingbo Shang, Xiang Ren, Frank Fangzheng Xu, Huan Gui, Jian Peng

, Jiawei Han

Empower Sequence Labeling with Task-Aware Neural Language Model

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Yunan Luo

, Jianzhu Ma

, Yang Liu, Qing Ye, Trey Ideker, Jian Peng

Deciphering signaling specificity with interpretable deep neural networks

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Guangxiang Zhu

, Wenxuan Deng, Hailin Hu, Rui Ma, Sai Zhang, Jinglin Yang, Jian Peng

, Tommy Kaplan, Jianyang Zeng

Reconstructing spatial organizations of chromosomes through manifold learning

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Yihan Gao, Chao Zhang, Jian Peng

, Aditya Parameswaran

The Importance of Norm Regularization in Linear Graph Embedding: Theoretical Analysis and Empirical Demonstration

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Yang Liu, Perry Palmedo, Qing Ye, Bonnie Berger, Jian Peng

Enhancing Evolutionary Couplings with Deep Convolutional Neural Networks

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Yi Chen, Jinglin Chen, Jing Dong, Jian Peng

, Zhaoran Wang

Accelerating nonconvex learning via replica exchange Langevin diffusion

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Tianbing Xu, Qiang Liu, Liang Zhao, Jian Peng

Learning to explore via meta-policy gradient

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Tanmay Gangwani, Qiang Liu, Jian Peng

Learning self-imitating diverse policies

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Liyuan Liu, Xiang Ren, Jingbo Shang, Xiaotao Gu, Jian Peng

, Jiawei Han

Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling

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Yihao Feng, Hao Liu, Jian Peng

, Qiang Liu

Shrinkage-based Bias-Variance Trade-off for Deep Reinforcement Learning

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Papers authored by Jian Peng