Search Results for author: Tian Tian

Found 22 papers, 5 papers with code

A Robust ADMM-Based Optimization Algorithm For Underwater Acoustic Channel Estimation

no code implementations23 Aug 2023 Tian Tian, Agastya Raj, Bruno Missi Xavier, Ying Zhang, Feiyun Wu, Kunde Yang

Accurate estimation of the Underwater acoustic (UWA) is a key part of underwater communications, especially for coherent systems.

Doubly-Asynchronous Value Iteration: Making Value Iteration Asynchronous in Actions

no code implementations4 Jul 2022 Tian Tian, Kenny Young, Richard S. Sutton

However, Asynchronous VI still requires a maximization over the entire action space, making it impractical for domains with large action space.

Fair Classification via Domain Adaptation: A Dual Adversarial Learning Approach

no code implementations8 Jun 2022 Yueqing Liang, Canyu Chen, Tian Tian, Kai Shu

Though we lack the sensitive attribute for training a fair model in the target domain, there might exist a similar domain that has sensitive attributes.

Classification Decision Making +2

FINETUNA: Fine-tuning Accelerated Molecular Simulations

no code implementations2 May 2022 Joseph Musielewicz, Xiaoxiao Wang, Tian Tian, Zachary Ulissi

Finally, we demonstrate a technique for leveraging the interactive functionality built in to VASP to efficiently compute single point calculations within our online active learning framework without the significant startup costs.

Active Learning Transfer Learning

What Makes Good Contrastive Learning on Small-Scale Wearable-based Tasks?

1 code implementation12 Feb 2022 Hangwei Qian, Tian Tian, Chunyan Miao

Self-supervised learning establishes a new paradigm of learning representations with much fewer or even no label annotations.

Activity Recognition Contrastive Learning +1

Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations

no code implementations2 Jun 2021 Yingtao Luo, Qiang Liu, Yuntian Chen, WenBo Hu, Tian Tian, Jun Zhu

Especially, the discovery of PDEs with highly nonlinear coefficients from low-quality data remains largely under-addressed.

Density Estimation Model Optimization

Dynamic Window-level Granger Causality of Multi-channel Time Series

no code implementations14 Jun 2020 Zhiheng Zhang, Wen-Bo Hu, Tian Tian, Jun Zhu

In this paper, we present the dynamic window-level Granger causality method (DWGC) for multi-channel time series data.

Time Series Time Series Analysis

VFlow: More Expressive Generative Flows with Variational Data Augmentation

1 code implementation ICML 2020 Jianfei Chen, Cheng Lu, Biqi Chenli, Jun Zhu, Tian Tian

Generative flows are promising tractable models for density modeling that define probabilistic distributions with invertible transformations.

Ranked #27 on Image Generation on CIFAR-10 (bits/dimension metric)

Density Estimation Image Generation +2

MinAtar: An Atari-Inspired Testbed for Thorough and Reproducible Reinforcement Learning Experiments

3 code implementations7 Mar 2019 Kenny Young, Tian Tian

With the representation learning problem simplified, we can perform experiments with significantly less computational expense.

Atari Games reinforcement-learning +2

Semi-crowdsourced Clustering with Deep Generative Models

1 code implementation NeurIPS 2018 Yucen Luo, Tian Tian, Jiaxin Shi, Jun Zhu, Bo Zhang

We propose a new approach that includes a deep generative model (DGM) to characterize low-level features of the data, and a statistical relational model for noisy pairwise annotations on its subset.

Clustering Variational Inference

D\'etection des mots non-standards dans les tweets avec des r\'eseaux de neurones (Detecting non-standard words in tweets with neural networks)

no code implementations JEPTALNRECITAL 2017 Tian Tian, Isabelle Tellier, Marco Dinarelli, Pedro Cardoso

Dans cet article, nous proposons un mod{\`e}le pour d{\'e}tecter dans les textes g{\'e}n{\'e}r{\'e}s par des utilisateurs (en particulier les tweets), les mots non-standards {\`a} corriger.


Joint Embedding of Hierarchical Categories and Entities for Concept Categorization and Dataless Classification

no code implementations COLING 2016 Yuezhang Li, Ronghuo Zheng, Tian Tian, Zhiting Hu, Rahul Iyer, Katia Sycara

Due to the lack of structured knowledge applied in learning distributed representation of cate- gories, existing work cannot incorporate category hierarchies into entity information.

General Classification

Joint Embeddings of Hierarchical Categories and Entities

no code implementations12 May 2016 Yuezhang Li, Ronghuo Zheng, Tian Tian, Zhiting Hu, Rahul Iyer, Katia Sycara

Due to the lack of structured knowledge applied in learning distributed representation of categories, existing work cannot incorporate category hierarchies into entity information.~We propose a framework that embeds entities and categories into a semantic space by integrating structured knowledge and taxonomy hierarchy from large knowledge bases.

Machine Comprehension Based on Learning to Rank

no code implementations11 May 2016 Tian Tian, Yuezhang Li

Machine comprehension plays an essential role in NLP and has been widely explored with dataset like MCTest.

BIG-bench Machine Learning Learning-To-Rank +1

Jointly Modeling Topics and Intents with Global Order Structure

no code implementations7 Dec 2015 Bei Chen, Jun Zhu, Nan Yang, Tian Tian, Ming Zhou, Bo Zhang

Modeling document structure is of great importance for discourse analysis and related applications.

Max-Margin Majority Voting for Learning from Crowds

no code implementations NeurIPS 2015 Tian Tian, Jun Zhu

Learning-from-crowds aims to design proper aggregation strategies to infer the unknown true labels from the noisy labels provided by ordinary web workers.

Bayesian Inference

Etiquetage morpho-syntaxique de tweets avec des CRF

no code implementations JEPTALNRECITAL 2015 Tian Tian, Dinarelli Marco, Tellier Isabelle, Cardoso Pedro

Nous nous int{\'e}ressons dans cet article {\`a} l{'}apprentissage automatique d{'}un {\'e}tiqueteur mopho-syntaxique pour les tweets en anglais.

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