Search Results for author: Guan Wang

Found 27 papers, 4 papers with code

Training A Multi-stage Deep Classifier with Feedback Signals

no code implementations12 Nov 2023 Chao Xu, Yu Yang, Rongzhao Wang, Guan Wang, Bojia Lin

Multi-Stage Classifier (MSC) - several classifiers working sequentially in an arranged order and classification decision is partially made at each step - is widely used in industrial applications for various resource limitation reasons.

Binary Classification

OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

1 code implementation20 Sep 2023 Guan Wang, Sijie Cheng, Xianyuan Zhan, Xiangang Li, Sen Song, Yang Liu

Specifically, we consider the general SFT training data, consisting of a small amount of expert data mixed with a large proportion of sub-optimal data, without any preference labels.

AaKOS: Aspect-adaptive Knowledge-based Opinion Summarization

no code implementations26 May 2023 Guan Wang, Weihua Li, Edmund M-K. Lai, Quan Bai

In this paper, we propose an Aspect-adaptive Knowledge-based Opinion Summarization model for product reviews, which effectively captures the adaptive nature required for opinion summarization.

Text Generation Text Summarization

Instance-Variant Loss with Gaussian RBF Kernel for 3D Cross-modal Retriveal

no code implementations7 May 2023 Zhitao Liu, Zengyu Liu, Jiwei Wei, Guan Wang, Zhenjiang Du, Ning Xie, Heng Tao Shen

Hence, the performance of cross-modal retrieval methods heavily depends on the representational capacity of this embedding space.

Cross-Modal Retrieval Retrieval

KATSum: Knowledge-aware Abstractive Text Summarization

no code implementations6 Dec 2022 Guan Wang, Weihua Li, Edmund Lai, Jianhua Jiang

The results reveal that the proposed framework can effectively utilise the information from Knowledge Graph and significantly reduce the factual errors in the summary.

Abstractive Text Summarization

Continuous Prompt Tuning Based Textual Entailment Model for E-commerce Entity Typing

1 code implementation4 Nov 2022 Yibo Wang, Congying Xia, Guan Wang, Philip Yu

In order to handle new entities in product titles and address the special language styles problem of product titles in e-commerce domain, we propose our textual entailment model with continuous prompt tuning based hypotheses and fusion embeddings for e-commerce entity typing.

Entity Typing Natural Language Inference

Learning Consumer Preferences from Bundle Sales Data

no code implementations11 Sep 2022 Ningyuan Chen, Setareh Farajollahzadeh, Guan Wang

In this paper, we propose an approach to learn the distribution of consumers' valuations toward the products using bundle sales data.

Fast Subspace Identification Method Based on Containerised Cloud Workflow Processing System

no code implementations29 Dec 2021 Runze Gao, Yuanqing Xia, Guan Wang, Liwen Yang, Yufeng Zhan

Subspace identification (SID) has been widely used in system identification and control fields since it can estimate system models only relying on the input and output data by reliable numerical operations such as singular value decomposition (SVD).

Comparison between Time Shifting Deviation and Cross-correlation Methods

no code implementations15 Nov 2021 Zhongwang Pang, Guan Wang, Bo wang, Lijun Wang

It stands in clear contrast to the result of cross-correlation method, whose localization error is 70 m and the standard deviation is 208. 4 m. Compared with cross-correlation method, TSDEV has the same resistance to white noise, but has fewer boundary conditions and better suppression on linear drift or common noise, which leads to more precise TDE results.

Elastic Shape Analysis of Tree-like 3D Objects using Extended SRVF Representation

no code implementations17 Oct 2021 Guan Wang, Hamid Laga, Anuj Srivastava

We demonstrate the utility of this framework in comparing, matching, and computing geodesics between biological objects such as neurons and botanical trees.

Graph2Graph Learning with Conditional Autoregressive Models

no code implementations6 Jun 2021 Guan Wang, Francois Bernard Lauze, Aasa Feragen

For such tasks, the main requirement for intermediate representations of the data is to maintain the structure needed for output, i. e., keeping classes separated or maintaining the order indicated by the regressor.

Graph Classification Graph Learning

Truncation-Free Matching System for Display Advertising at Alibaba

no code implementations18 Feb 2021 Jin Li, Jie Liu, Shangzhou Li, Yao Xu, Ran Cao, Qi Li, Biye Jiang, Guan Wang, Han Zhu, Kun Gai, Xiaoqiang Zhu

When receiving a user request, matching system (i) finds the crowds that the user belongs to; (ii) retrieves all ads that have targeted those crowds.


Adaptive N-step Bootstrapping with Off-policy Data

no code implementations1 Jan 2021 Guan Wang, Dong Yan, Hang Su, Jun Zhu

In this work, we point out that the optimal value of n actually differs on each data point, while the fixed value n is a rough average of them.

Atari Games

DCAF: A Dynamic Computation Allocation Framework for Online Serving System

no code implementations17 Jun 2020 Biye Jiang, Pengye Zhang, Rihan Chen, Binding Dai, Xinchen Luo, Yin Yang, Guan Wang, Guorui Zhou, Xiaoqiang Zhu, Kun Gai

These stages usually allocate resource manually with specific computing power budgets, which requires the serving configuration to adapt accordingly.

Recommendation Systems Retrieval

Early Detection of Retinopathy of Prematurity (ROP) in Retinal Fundus Images Via Convolutional Neural Networks

no code implementations12 Jun 2020 Xin Guo, Yusuke Kikuchi, Guan Wang, Jinglin Yi, Qiong Zou, Rui Zhou

Retinopathy of prematurity (ROP) is an abnormal blood vessel development in the retina of a prematurely-born infant or an infant with low birth weight.


Kalibre: Knowledge-based Neural Surrogate Model Calibration for Data Center Digital Twins

no code implementations29 Jan 2020 Ruihang Wang, Xin Zhou, Linsen Dong, Yonggang Wen, Rui Tan, Li Chen, Guan Wang, Feng Zeng

However, in the context of CFD, each search step requires long-lasting CFD model's iterated solving, rendering these approaches impractical with increased model complexity.


Measure Contribution of Participants in Federated Learning

no code implementations17 Sep 2019 Guan Wang, Charlie Xiaoqian Dang, Ziye Zhou

Our methods open the door for research in model contribution and credit allocation in the context of federated machine learning.

BIG-bench Machine Learning Feature Importance +1

EnforceNet: Monocular Camera Localization in Large Scale Indoor Sparse LiDAR Point Cloud

no code implementations16 Jul 2019 Yu Chen, Guan Wang

Pose estimation is a fundamental building block for robotic applications such as autonomous vehicles, UAV, and large scale augmented reality.

Autonomous Vehicles Camera Localization +1

Cooperative Lane Changing via Deep Reinforcement Learning

no code implementations20 Jun 2019 Guan Wang, Jianming Hu, Zhiheng Li, Li Li

In this paper, we study how to learn an appropriate lane changing strategy for autonomous vehicles by using deep reinforcement learning.

Autonomous Vehicles reinforcement-learning +1

Interpret Federated Learning with Shapley Values

1 code implementation11 May 2019 Guan Wang

For host party to interpret a single prediction of vertical Federated Learning model, the interpretation results, namely the feature importance, are very likely to reveal the protected data from guest party.

Feature Importance Federated Learning

Interactive Learning from Policy-Dependent Human Feedback

no code implementations ICML 2017 James MacGlashan, Mark K. Ho, Robert Loftin, Bei Peng, Guan Wang, David Roberts, Matthew E. Taylor, Michael L. Littman

This paper investigates the problem of interactively learning behaviors communicated by a human teacher using positive and negative feedback.

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