Search Results for author: Qi Qi

Found 19 papers, 4 papers with code

Attentional Biased Stochastic Gradient for Imbalanced Classification

no code implementations13 Dec 2020 Qi Qi, Yi Xu, Rong Jin, Wotao Yin, Tianbao Yang

In this paper, we present a simple yet effective method (ABSGD) for addressing the data imbalance issue in deep learning.

Classification General Classification +2

Traffic4cast 2020 -- Graph Ensemble Net and the Importance of Feature And Loss Function Design for Traffic Prediction

no code implementations3 Dec 2020 Qi Qi, Pak Hay Kwok

We also explored the use of Graph Neural Networks and introduced a novel ensemble GNN architecture which outperformed the GNN solution from last year.

Traffic Prediction

Advanced Graph and Sequence Neural Networks for Molecular Property Prediction and Drug Discovery

1 code implementation2 Dec 2020 Zhengyang Wang, Meng Liu, Youzhi Luo, Zhao Xu, Yaochen Xie, Limei Wang, Lei Cai, Qi Qi, Zhuoning Yuan, Tianbao Yang, Shuiwang Ji

Here we develop a suite of comprehensive machine learning methods and tools spanning different computational models, molecular representations, and loss functions for molecular property prediction and drug discovery.

Drug Discovery Molecular Property Prediction

Robust Unsupervised Video Anomaly Detection by Multi-Path Frame Prediction

no code implementations5 Nov 2020 Xuanzhao Wang, Zhengping Che, Bo Jiang, Ning Xiao, Ke Yang, Jian Tang, Jieping Ye, Jingyu Wang, Qi Qi

In this paper, we propose a novel and robust unsupervised video anomaly detection method by frame prediction with proper design which is more in line with the characteristics of surveillance videos.

Anomaly Detection

A Game-Theoretic Analysis of the Empirical Revenue Maximization Algorithm with Endogenous Sampling

no code implementations NeurIPS 2020 Xiaotie Deng, Ron Lavi, Tao Lin, Qi Qi, Wenwei Wang, Xiang Yan

The Empirical Revenue Maximization (ERM) is one of the most important price learning algorithms in auction design: as the literature shows it can learn approximately optimal reserve prices for revenue-maximizing auctioneers in both repeated auctions and uniform-price auctions.

Variance-Reduced Off-Policy Memory-Efficient Policy Search

no code implementations14 Sep 2020 Daoming Lyu, Qi Qi, Mohammad Ghavamzadeh, Hengshuai Yao, Tianbao Yang, Bo Liu

To achieve variance-reduced off-policy-stable policy optimization, we propose an algorithm family that is memory-efficient, stochastically variance-reduced, and capable of learning from off-policy samples.

Stochastic Optimization

AWR: Adaptive Weighting Regression for 3D Hand Pose Estimation

1 code implementation19 Jul 2020 Weiting Huang, Pengfei Ren, Jingyu Wang, Qi Qi, Haifeng Sun

In this paper, we propose an adaptive weighting regression (AWR) method to leverage the advantages of both detection-based and regression-based methods.

3D Hand Pose Estimation

Adversarial and Domain-Aware BERT for Cross-Domain Sentiment Analysis

no code implementations ACL 2020 Chunning Du, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao

To tackle these problems, we design a post-training procedure, which contains the target domain masked language model task and a novel domain-distinguish pre-training task.

Language Modelling Sentiment Analysis +1

An Online Method for Distributionally Deep Robust Optimization

no code implementations17 Jun 2020 Qi Qi, Zhishuai Guo, Yi Xu, Rong Jin, Tianbao Yang

The proposed online stochastic method resembles the practical stochastic Nesterovs method in several perspectives that are widely used for learning deep neural networks.

A Simple and Effective Framework for Pairwise Deep Metric Learning

1 code implementation ECCV 2020 Qi Qi, Yan Yan, Xiaoyu Wang, Tianbao Yang

To tackle this issue, we propose a simple and effective framework to sample pairs in a batch of data for updating the model.

Metric Learning

Capsule Network with Interactive Attention for Aspect-Level Sentiment Classification

no code implementations IJCNLP 2019 Chunning Du, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao, Tong Xu, Ming Liu

Aspect-level sentiment classification is a crucial task for sentiment analysis, which aims to identify the sentiment polarities of specific targets in their context.

Classification General Classification +1

Investigating Capsule Network and Semantic Feature on Hyperplanes for Text Classification

no code implementations IJCNLP 2019 Chunning Du, Haifeng Sun, Jingyu Wang, Qi Qi, Jianxin Liao, Chun Wang, Bing Ma

It has been demonstrated that multiple senses of a word actually reside in linear superposition within the word embedding so that specific senses can be extracted from the original word embedding.

Classification General Classification +1

OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks

1 code implementation CVPR 2019 Jiashi Li, Qi Qi, Jingyu Wang, Ce Ge, Yujian Li, Zhangzhang Yue, Haifeng Sun

Many channel pruning works utilize structured sparsity regularization to zero out all the weights in some channels and automatically obtain structure-sparse network in training stage.

Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence

no code implementations28 Nov 2018 Yi Xu, Qi Qi, Qihang Lin, Rong Jin, Tianbao Yang

In this paper, we propose new stochastic optimization algorithms and study their first-order convergence theories for solving a broad family of DC functions.

Stochastic Optimization

A Deep Tree-Structured Fusion Model for Single Image Deraining

no code implementations21 Nov 2018 Xueyang Fu, Qi Qi, Yue Huang, Xinghao Ding, Feng Wu, John Paisley

We propose a simple yet effective deep tree-structured fusion model based on feature aggregation for the deraining problem.

Single Image Deraining

Fewer is More: Image Segmentation Based Weakly Supervised Object Detection with Partial Aggregation

no code implementations BMVC 2018 Ce Ge, Jingyu Wang, Qi Qi, Haifeng Sun, Jianxin Liao

As most weakly supervised object detection methods are based on pre-generated proposals, they often show two false detections: (i) group multiple object instances with one bounding box, and (ii) focus on only parts rather than the whole objects.

Semantic Segmentation Weakly Supervised Object Detection

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