Search Results for author: TingTing Liang

Found 11 papers, 7 papers with code

PILL: Plug Into LLM with Adapter Expert and Attention Gate

1 code implementation3 Nov 2023 Fangyuan Zhang, TingTing Liang, Zhengyuan Wu, Yuyu Yin

Recently, significant progress has been made in the development of Vision Language Models (VLMs), expanding the capabilities of LLMs and enabling them to execute more diverse instructions.

All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding Paradigm

no code implementations7 Sep 2023 Jiangshu Du, Congying Xia, Wenpeng Yin, TingTing Liang, Philip S. Yu

In intent detection tasks, leveraging meaningful semantic information from intent labels can be particularly beneficial for few-shot scenarios.

Domain Generalization Intent Detection

Spectral Adversarial Training for Robust Graph Neural Network

1 code implementation20 Nov 2022 Jintang Li, Jiaying Peng, Liang Chen, Zibin Zheng, TingTing Liang, Qing Ling

In this work, we seek to address these challenges and propose Spectral Adversarial Training (SAT), a simple yet effective adversarial training approach for GNNs.

FlowNAS: Neural Architecture Search for Optical Flow Estimation

1 code implementation4 Jul 2022 Zhiwei Lin, TingTing Liang, Taihong Xiao, Yongtao Wang, Zhi Tang, Ming-Hsuan Yang

To address this issue, we propose a neural architecture search method named FlowNAS to automatically find the better encoder architecture for flow estimation task.

Image Classification Neural Architecture Search +1

Multifaceted Improvements for Conversational Open-Domain Question Answering

no code implementations1 Apr 2022 TingTing Liang, Yixuan Jiang, Congying Xia, Ziqiang Zhao, Yuyu Yin, Philip S. Yu

Recently, conversational OpenQA is proposed to address these issues with the abundant contextual information in the conversation.

Open-Domain Question Answering Retrieval

CBNet: A Composite Backbone Network Architecture for Object Detection

5 code implementations1 Jul 2021 TingTing Liang, Xiaojie Chu, Yudong Liu, Yongtao Wang, Zhi Tang, Wei Chu, Jingdong Chen, Haibin Ling

With multi-scale testing, we push the current best single model result to a new record of 60. 1% box AP and 52. 3% mask AP without using extra training data.

Ranked #6 on Object Detection on COCO-O (using extra training data)

Instance Segmentation Object +2

OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection

1 code implementation CVPR 2021 TingTing Liang, Yongtao Wang, Zhi Tang, Guosheng Hu, Haibin Ling

Encouraged by the success, we propose a novel One-Shot Path Aggregation Network Architecture Search (OPANAS) algorithm, which significantly improves both searching efficiency and detection accuracy.

Neural Architecture Search object-detection +1

Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks

no code implementations COLING 2020 Lichao Sun, Congying Xia, Wenpeng Yin, TingTing Liang, Philip S. Yu, Lifang He

Our studies show that mixup is a domain-independent data augmentation technique to pre-trained language models, resulting in significant performance improvement for transformer-based models.

Data Augmentation Image Classification

MixTConv: Mixed Temporal Convolutional Kernels for Efficient Action Recogntion

no code implementations19 Jan 2020 Kaiyu Shan, Yongtao Wang, Zhuoying Wang, TingTing Liang, Zhi Tang, Ying Chen, Yangyan Li

To efficiently extract spatiotemporal features of video for action recognition, most state-of-the-art methods integrate 1D temporal convolution into a conventional 2D CNN backbone.

Action Recognition

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