Search Results for author: Haimin Zhang

Found 17 papers, 4 papers with code

A Preliminary Exploration of GANs for Keyphrase Generation

no code implementations EMNLP 2020 Avinash Swaminathan, Haimin Zhang, Debanjan Mahata, Rakesh Gosangi, Rajiv Ratn Shah, Amanda Stent

We observed that our model achieves state-of-the-art performance in the generation of abstractive keyphrases and is comparable to the best performing extractive techniques.

Keyphrase Generation

An Efficient Multitask Neural Network for Face Alignment, Head Pose Estimation and Face Tracking

no code implementations13 Mar 2021 Jiahao Xia, Haimin Zhang, Shiping Wen, Shuo Yang, Min Xu

Moreover, we generate a cheap heatmap based on the face alignment result and fuse it with features to improve the performance of the other two tasks.

Face Alignment Face Detection +1

Improving Transformation-based Defenses against Adversarial Examples with First-order Perturbations

no code implementations8 Mar 2021 Haimin Zhang, Min Xu

Based on this observation, we propose a method for counteracting adversarial perturbations to improve adversarial robustness.

Adversarial Robustness

SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolutional Networks

1 code implementation20 Feb 2021 Haimin Zhang, Min Xu, Guoqiang Zhang, Kenta Niwa

We show that applying stochastic scaling at the gradient level is complementary to that applied at the feature level to improve the overall performance.

Graph Learning

An Annotated Dataset of Discourse Modes in Hindi Stories

no code implementations LREC 2020 Swapnil Dhanwal, Hritwik Dutta, Hitesh Nankani, Nilay Shrivastava, Yaman Kumar, Junyi Jessy Li, Debanjan Mahata, Rakesh Gosangi, Haimin Zhang, Rajiv Ratn Shah, Am Stent, a

In this paper, we present a new corpus consisting of sentences from Hindi short stories annotated for five different discourse modes argumentative, narrative, descriptive, dialogic and informative.

Keyphrase Extraction from Scholarly Articles as Sequence Labeling using Contextualized Embeddings

no code implementations19 Oct 2019 Dhruva Sahrawat, Debanjan Mahata, Mayank Kulkarni, Haimin Zhang, Rakesh Gosangi, Amanda Stent, Agniv Sharma, Yaman Kumar, Rajiv Ratn Shah, Roger Zimmermann

In this paper, we formulate keyphrase extraction from scholarly articles as a sequence labeling task solved using a BiLSTM-CRF, where the words in the input text are represented using deep contextualized embeddings.

Keyphrase Extraction Word Embeddings

Keyphrase Generation for Scientific Articles using GANs

1 code implementation24 Sep 2019 Avinash Swaminathan, Raj Kuwar Gupta, Haimin Zhang, Debanjan Mahata, Rakesh Gosangi, Rajiv Ratn Shah

In this paper, we present a keyphrase generation approach using conditional Generative Adversarial Networks (GAN).

Keyphrase Generation

Suggestion Mining from Online Reviews using ULMFiT

1 code implementation19 Apr 2019 Sarthak Anand, Debanjan Mahata, Kartik Aggarwal, Laiba Mehnaz, Simra Shahid, Haimin Zhang, Yaman Kumar, Rajiv Ratn Shah, Karan Uppal

In this paper we present our approach and the system description for Sub Task A of SemEval 2019 Task 9: Suggestion Mining from Online Reviews and Forums.

Classification General Classification +3

Identifying Offensive Posts and Targeted Offense from Twitter

no code implementations19 Apr 2019 Haimin Zhang, Debanjan Mahata, Simra Shahid, Laiba Mehnaz, Sarthak Anand, Yaman Singla, Rajiv Ratn Shah, Karan Uppal

In this paper we present our approach and the system description for Sub-task A and Sub Task B of SemEval 2019 Task 6: Identifying and Categorizing Offensive Language in Social Media.

Dual Pattern Learning Networks by Empirical Dual Prediction Risk Minimization

no code implementations11 Jun 2018 Haimin Zhang, Min Xu

This architecture forces the network to learn discriminative class-specific features by analyzing and comparing two input images.

Image Classification

Modelling Temporal Information Using Discrete Fourier Transform for Recognizing Emotions in User-generated Videos

no code implementations20 Mar 2016 Haimin Zhang, Min Xu

By this way, static image features extracted from a pre-trained deep CNN and temporal information represented by DFT features are jointly considered for video emotion recognition.

Emotion Classification Frame +1

Modelling Temporal Information Using Discrete Fourier Transform for Video Classification

no code implementations20 Mar 2016 Haimin Zhang

In this way, static image features extracted from a pre-trained deep CNN and temporal information represented by DFT features are jointly considered for video classification.

Action Recognition Classification +3

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