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More Than Just Attention: Learning Cross-Modal Attentions with Contrastive Constraints


May 20, 2021
Yuxiao Chen, Jianbo Yuan, Long Zhao, Rui Luo, Larry Davis, Dimitris N. Metaxas


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Affordance-Based Mobile Robot Navigation Among Movable Obstacles


Feb 09, 2021
Maozhen Wang, Rui Luo, Aykut Ozgun Onol, Taskin Padir

* IROS 2020 

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Echo Chambers and Segregation in Social Networks: Markov Bridge Models and Estimation


Dec 25, 2020
Rui Luo, Buddhika Nettasinghe, Vikram Krishnamurthy


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Learning to Infer User Hidden States for Online Sequential Advertising


Sep 03, 2020
Zhaoqing Peng, Junqi Jin, Lan Luo, Yaodong Yang, Rui Luo, Jun Wang, Weinan Zhang, Haiyang Xu, Miao Xu, Chuan Yu, Tiejian Luo, Han Li, Jian Xu, Kun Gai

* to be published in CIKM 2020 

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A weakly supervised adaptive triplet loss for deep metric learning


Sep 27, 2019
Xiaonan Zhao, Huan Qi, Rui Luo, Larry Davis

* 4 pages, ICCV Fashion Workshop 

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Wasserstein Robust Reinforcement Learning


Sep 16, 2019
Mohammed Amin Abdullah, Hang Ren, Haitham Bou Ammar, Vladimir Milenkovic, Rui Luo, Mingtian Zhang, Jun Wang


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Automatic Radiology Report Generation based on Multi-view Image Fusion and Medical Concept Enrichment


Jul 23, 2019
Jianbo Yuan, Haofu Liao, Rui Luo, Jiebo Luo

* MICCAI 2019 

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Replica-exchange Nosé-Hoover dynamics for Bayesian learning on large datasets


Jun 11, 2019
Rui Luo, Qiang Zhang, Yaodong Yang, Jun Wang


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Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning


Jan 26, 2019
Ying Wen, Yaodong Yang, Rui Luo, Jun Wang, Wei Pan

* ICLR 2019 

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Parallel-tempered Stochastic Gradient Hamiltonian Monte Carlo for Approximate Multimodal Posterior Sampling


Dec 07, 2018
Rui Luo, Qiang Zhang, Yuanyuan Liu


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Benchmarking Deep Sequential Models on Volatility Predictions for Financial Time Series


Nov 08, 2018
Qiang Zhang, Rui Luo, Yaodong Yang, Yuanyuan Liu

* NIPS 2018, Workshop on Challenges and Opportunities for AI in Financial Services 

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Mean Field Multi-Agent Reinforcement Learning


Jul 19, 2018
Yaodong Yang, Rui Luo, Minne Li, Ming Zhou, Weinan Zhang, Jun Wang

* ICML 2018 (Full paper + Long talk) 

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Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning


May 28, 2018
Rui Luo, Yaodong Yang, Jianhong Wang, Zhanxing Zhu, Jun Wang


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A Neural Stochastic Volatility Model


Nov 30, 2017
Rui Luo, Weinan Zhang, Xiaojun Xu, Jun Wang


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Learning text representation using recurrent convolutional neural network with highway layers


Aug 02, 2016
Ying Wen, Weinan Zhang, Rui Luo, Jun Wang

* Neu-IR '16 SIGIR Workshop on Neural Information Retrieval 

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