Search Results for author: Tao Xie

Found 18 papers, 10 papers with code

OlaGPT: Empowering LLMs With Human-like Problem-Solving Abilities

1 code implementation23 May 2023 Yuanzhen Xie, Tao Xie, Mingxiong Lin, WenTao Wei, Chenglin Li, Beibei Kong, Lei Chen, Chengxiang Zhuo, Bo Hu, Zang Li

At present, most approaches focus on chains of thought (COT) and tool use, without considering the adoption and application of human cognitive frameworks.

Active Learning Decision Making +1

Reliability Assurance for Deep Neural Network Architectures Against Numerical Defects

1 code implementation13 Feb 2023 Linyi Li, Yuhao Zhang, Luyao Ren, Yingfei Xiong, Tao Xie

To assure high reliability against numerical defects, in this paper, we propose the RANUM approach including novel techniques for three reliability assurance tasks: detection of potential numerical defects, confirmation of potential-defect feasibility, and suggestion of defect fixes.

DeepMatcher: A Deep Transformer-based Network for Robust and Accurate Local Feature Matching

1 code implementation8 Jan 2023 Tao Xie, Kun Dai, Ke Wang, Ruifeng Li, Lijun Zhao

In this work, we propose DeepMatcher, a deep Transformer-based network built upon our investigation of local feature matching in detector-free methods.

Poly-PC: A Polyhedral Network for Multiple Point Cloud Tasks at Once

no code implementations CVPR 2023 Tao Xie, Shiguang Wang, Ke Wang, Linqi Yang, Zhiqiang Jiang, Xingcheng Zhang, Kun Dai, Ruifeng Li, Jian Cheng

In this work, we show that it is feasible to perform multiple tasks concurrently on point cloud with a straightforward yet effective multi-task network.

Incremental Learning Multi-Task Learning

MDL-NAS: A Joint Multi-Domain Learning Framework for Vision Transformer

no code implementations CVPR 2023 Shiguang Wang, Tao Xie, Jian Cheng, Xingcheng Zhang, Haijun Liu

Technically, MDL-NAS constructs a coarse-to-fine search space, where the coarse search space offers various optimal architectures for different tasks while the fine search space provides fine-grained parameter sharing to tackle the inherent obstacles of multi-domain learning.

Image Classification Incremental Learning

Double Sampling Randomized Smoothing

1 code implementation16 Jun 2022 Linyi Li, Jiawei Zhang, Tao Xie, Bo Li

To overcome this hurdle, we propose a Double Sampling Randomized Smoothing (DSRS) framework, which exploits the sampled probability from an additional smoothing distribution to tighten the robustness certification of the previous smoothed classifier.

On the Certified Robustness for Ensemble Models and Beyond

no code implementations ICLR 2022 Zhuolin Yang, Linyi Li, Xiaojun Xu, Bhavya Kailkhura, Tao Xie, Bo Li

Thus, to explore the conditions that guarantee to provide certifiably robust ensemble ML models, we first prove that diversified gradient and large confidence margin are sufficient and necessary conditions for certifiably robust ensemble models under the model-smoothness assumption.

SoK: Certified Robustness for Deep Neural Networks

2 code implementations9 Sep 2020 Linyi Li, Tao Xie, Bo Li

Great advances in deep neural networks (DNNs) have led to state-of-the-art performance on a wide range of tasks.

Autonomous Driving

Adversarial Attack on Large Scale Graph

1 code implementation8 Sep 2020 Jintang Li, Tao Xie, Liang Chen, Fenfang Xie, Xiangnan He, Zibin Zheng

Currently, most works on attacking GNNs are mainly using gradient information to guide the attack and achieve outstanding performance.

Adversarial Attack

Understanding Challenges in Deploying Deep Learning Based Software: An Empirical Study

no code implementations2 May 2020 Zhenpeng Chen, Yanbin Cao, Yuanqiang Liu, Haoyu Wang, Tao Xie, Xuanzhe Liu

Deep learning (DL) becomes increasingly pervasive, being used in a wide range of software applications.

Software Engineering

A Survey of Adversarial Learning on Graphs

2 code implementations10 Mar 2020 Liang Chen, Jintang Li, Jiaying Peng, Tao Xie, Zengxu Cao, Kun Xu, Xiangnan He, Zibin Zheng, Bingzhe Wu

To bridge this gap, we investigate and summarize the existing works on graph adversarial learning tasks systemically.

Graph Clustering Link Prediction +1

TSS: Transformation-Specific Smoothing for Robustness Certification

1 code implementation27 Feb 2020 Linyi Li, Maurice Weber, Xiaojun Xu, Luka Rimanic, Bhavya Kailkhura, Tao Xie, Ce Zhang, Bo Li

Moreover, to the best of our knowledge, TSS is the first approach that achieves nontrivial certified robustness on the large-scale ImageNet dataset.

MULDEF: Multi-model-based Defense Against Adversarial Examples for Neural Networks

no code implementations31 Aug 2018 Siwakorn Srisakaokul, Yuhao Zhang, Zexuan Zhong, Wei Yang, Tao Xie, Bo Li

In particular, given a target model, our framework includes multiple models (constructed from the target model) to form a model family.

Testing Untestable Neural Machine Translation: An Industrial Case

no code implementations6 Jul 2018 Wujie Zheng, Wenyu Wang, Dian Liu, Changrong Zhang, Qinsong Zeng, Yuetang Deng, Wei Yang, Pinjia He, Tao Xie

To fill the gap of lacking test oracle for in-vivo testing of an NMT system, in this paper, we propose a new approach for automatically identifying translation failures, without requiring reference translations for a translation task; our approach can directly serve as a test oracle for in-vivo testing.

Machine Translation NMT +1

Want a Good Answer? Ask a Good Question First!

no code implementations27 Nov 2013 Yuan Yao, Hanghang Tong, Tao Xie, Leman Akoglu, Feng Xu, Jian Lu

Community Question Answering (CQA) websites have become valuable repositories which host a massive volume of human knowledge.

Community Question Answering

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