Search Results for author: Hao Fu

Found 14 papers, 2 papers with code

Stylistic Retrieval-based Dialogue System with Unparallel Training Data

no code implementations12 Sep 2021 Hao Fu, Yan Wang, Ruihua Song, Tianran Hu, Jianyun Nie

The ability of a dialog system to express consistent language style during conversations has a direct, positive impact on its usability and on user satisfaction.

Chatbot Data Augmentation +1

Denoising User-aware Memory Network for Recommendation

no code implementations12 Jul 2021 Zhi Bian, Shaojun Zhou, Hao Fu, Qihong Yang, Zhenqi Sun, Junjie Tang, Guiquan Liu, Kaikui Liu, Xiaolong Li

Specifically, the framework: (i) proposes a feature purification module based on orthogonal mapping, which use the representation of explicit feedback to purify the representation of implicit feedback, and effectively denoise the implicit feedback; (ii) designs a user memory network to model the long-term interests in a fine-grained way by improving the memory network, which is ignored by the existing methods; and (iii) develops a preference-aware interactive representation component to fuse the long-term and short-term interests of users based on gating to understand the evolution of unbiased preferences of users.

Denoising

LRC-BERT: Latent-representation Contrastive Knowledge Distillation for Natural Language Understanding

no code implementations14 Dec 2020 Hao Fu, Shaojun Zhou, Qihong Yang, Junjie Tang, Guiquan Liu, Kaikui Liu, Xiaolong Li

In this work, we propose a knowledge distillation method LRC-BERT based on contrastive learning to fit the output of the intermediate layer from the angular distance aspect, which is not considered by the existing distillation methods.

Contrastive Learning Knowledge Distillation +2

Contrastive Learning of Relative Position Regression for One-Shot Object Localization in 3D Medical Images

1 code implementation13 Dec 2020 Wenhui Lei, Wei Xu, Ran Gu, Hao Fu, Shaoting Zhang, Guotai Wang

To address this problem, we present a one-shot framework for organ and landmark localization in volumetric medical images, which does not need any annotation during the training stage and could be employed to locate any landmarks or organs in test images given a support (reference) image during the inference stage.

Contrastive Learning Object Localization +1

Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly Detection

no code implementations4 Nov 2020 Hao Fu, Akshaj Kumar Veldanda, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami

This paper proposes a new defense against neural network backdooring attacks that are maliciously trained to mispredict in the presence of attacker-chosen triggers.

Anomaly Detection Data Augmentation

"Love is as Complex as Math": Metaphor Generation System for Social Chatbot

no code implementations3 Jan 2020 Danning Zheng, Ruihua Song, Tianran Hu, Hao Fu, Jin Zhou

By embedding the framework into a chatbot system, we then enables the chatbot to communicate with users using figurative language.

Chatbot

Non-imaging single-pixel sensing with optimized binary modulation

no code implementations25 Sep 2019 Hao Fu, Liheng Bian, Jun Zhang

The conventional high-level sensing techniques require high-fidelity images as input to extract target features, which are produced by either complex imaging hardware or high-complexity reconstruction algorithms.

General Classification Image Classification

Thinkey: A Scalable Blockchain Architecture

no code implementations9 Apr 2019 Shan Chen, Weiguo Dai, Yuanxi Dai, Hao Fu, Yang Gao, Jianqi Guo, Haoqing He, Yuhong Liu

This paper presents Thinkey, an efficient, secure, infinitely scalable and decentralized blockchain architecture.

Cryptography and Security

Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing

2 code implementations NAACL 2019 Hao Fu, Chunyuan Li, Xiaodong Liu, Jianfeng Gao, Asli Celikyilmaz, Lawrence Carin

Variational autoencoders (VAEs) with an auto-regressive decoder have been applied for many natural language processing (NLP) tasks.

Language Modelling

Incorporating Topic Aspects for Online Comment Convincingness Evaluation

no code implementations WS 2018 Yunfan Gu, Zhongyu Wei, Maoran Xu, Hao Fu, Yang Liu, Xuanjing Huang

In this paper, we propose to incorporate topic aspects information for online comments convincingness evaluation.

Argument Mining

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