no code implementations • COLING 2022 • BoWen Zhang, Xu Huang, Zhichao Huang, Hu Huang, Baoquan Zhang, Xianghua Fu, Liwen Jing
SILTN is interpretable because it is a neurosymbolic formalism and a computational model that supports learning and reasoning about data with a differentiable first-order logic language (FOL).
no code implementations • 11 Apr 2024 • Xu Huang, Weiwen Liu, Xiaolong Chen, Xingmei Wang, Defu Lian, Yasheng Wang, Ruiming Tang, Enhong Chen
Concretely, WESE involves decoupling the exploration and exploitation process, employing a cost-effective weak agent to perform exploration tasks for global knowledge.
1 code implementation • 23 Mar 2024 • Daijun Ding, Li Dong, Zhichao Huang, Guangning Xu, Xu Huang, Bo Liu, Liwen Jing, BoWen Zhang
To address these issues, we propose an encoder-decoder data augmentation (EDDA) framework.
1 code implementation • 11 Mar 2024 • Jianxun Lian, Yuxuan Lei, Xu Huang, Jing Yao, Wei Xu, Xing Xie
This paper introduces RecAI, a practical toolkit designed to augment or even revolutionize recommender systems with the advanced capabilities of Large Language Models (LLMs).
no code implementations • 5 Feb 2024 • Xu Huang, Weiwen Liu, Xiaolong Chen, Xingmei Wang, Hao Wang, Defu Lian, Yasheng Wang, Ruiming Tang, Enhong Chen
As Large Language Models (LLMs) have shown significant intelligence, the progress to leverage LLMs as planning modules of autonomous agents has attracted more attention.
no code implementations • 18 Jan 2024 • Yichao Du, Zhirui Zhang, Linan Yue, Xu Huang, Yuqing Zhang, Tong Xu, Linli Xu, Enhong Chen
To protect privacy and meet legal regulations, federated learning (FL) has gained significant attention for training speech-to-text (S2T) systems, including automatic speech recognition (ASR) and speech translation (ST).
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
1 code implementation • 12 Jan 2024 • Xu Huang, Zhirui Zhang, Xiang Geng, Yichao Du, Jiajun Chen, ShuJian Huang
Large Language Models (LLMs) have achieved remarkable results in the machine translation evaluation task, yet there remains a gap in knowledge regarding how they utilize the provided data to conduct evaluations.
no code implementations • 3 Jan 2024 • Daijun Ding, Rong Chen, Liwen Jing, BoWen Zhang, Xu Huang, Li Dong, Xiaowen Zhao, Ge Song
In this paper, we propose a Multi-Perspective Prompt-Tuning (MPPT) model for CTSD that uses the analysis perspective as a bridge to transfer knowledge.
no code implementations • 18 Nov 2023 • Yuxuan Lei, Jianxun Lian, Jing Yao, Xu Huang, Defu Lian, Xing Xie
Behavior alignment operates in the language space, representing user preferences and item information as text to learn the recommendation model's behavior; intention alignment works in the latent space of the recommendation model, using user and item representations to understand the model's behavior; hybrid alignment combines both language and latent spaces for alignment training.
no code implementations • 20 Oct 2023 • Xu Huang, Jianxun Lian, Hao Wang, Defu Lian, Xing Xie
Recommendation systems effectively guide users in locating their desired information within extensive content repositories.
1 code implementation • 17 Oct 2023 • Xu Huang, Zhirui Zhang, Ruize Gao, Yichao Du, Lemao Liu, Gouping Huang, Shuming Shi, Jiajun Chen, ShuJian Huang
We present IMTLab, an open-source end-to-end interactive machine translation (IMT) system platform that enables researchers to quickly build IMT systems with state-of-the-art models, perform an end-to-end evaluation, and diagnose the weakness of systems.
1 code implementation • 31 Aug 2023 • Xu Huang, Jianxun Lian, Yuxuan Lei, Jing Yao, Defu Lian, Xing Xie
In this paper, we bridge the gap between recommender models and LLMs, combining their respective strengths to create a versatile and interactive recommender system.
no code implementations • 31 Jul 2023 • Jin Chen, Zheng Liu, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, Defu Lian, Enhong Chen
The advent of large language models marks a revolutionary breakthrough in artificial intelligence.
1 code implementation • 28 Jun 2022 • Xu Huang, Defu Lian, Jin Chen, Zheng Liu, Xing Xie, Enhong Chen
Deep recommender systems (DRS) are intensively applied in modern web services.
no code implementations • 21 Feb 2022 • Yongjun Zhang, Siyuan Zou, Xinyi Liu, Xu Huang, Yi Wan, Yongxiang Yao
Next, we propose a riverbed enhancement function to optimize the cost volume of the LiDAR projection points and their homogeneous pixels to improve the matching robustness.
1 code implementation • 13 Sep 2021 • Jin Chen, Defu Lian, Binbin Jin, Xu Huang, Kai Zheng, Enhong Chen
Variational AutoEncoder (VAE) has been extended as a representative nonlinear method for collaborative filtering.
no code implementations • 1 Jul 2021 • Xiao Ling, Xu Huang, Rongjun Qin
Bundle adjustment (BA) is a technique for refining sensor orientations of satellite images, while adjustment accuracy is correlated with feature matching results.
no code implementations • 1 Jul 2021 • Changlin Xiao, Rongjun Qin, Xiao Xie, Xu Huang
Individual tree detection and crown delineation (ITDD) are critical in forest inventory management and remote sensing based forest surveys are largely carried out through satellite images.
no code implementations • 27 Jun 2021 • Rongjun Qin, Xu Huang
Nowadays the image-based methods backboned by the recently developed advanced dense image matching algorithms and geo-referencing paradigms, are becoming the dominant approaches, due to its high flexibility, availability and low cost.
1 code implementation • 23 Nov 2020 • Yuewen Zhu, Chunran Zheng, Chongjian Yuan, Xu Huang, Xiaoping Hong
In this paper we propose CamVox by adapting Livox lidars into visual SLAM (ORB-SLAM2) by exploring the lidars' unique features.
Robotics
no code implementations • 22 May 2019 • Xu Huang, Rong-Jun Qin
Given enough multi-view image corresponding points (also called tie points) and ground control points (GCP), bundle adjustment for high-resolution satellite images is used to refine the orientations or most often used geometric parameters Rational Polynomial Coefficients (RPC) of each satellite image in a unified geodetic framework, which is very critical in many photogrammetry and computer vision applications.
no code implementations • 22 May 2019 • Xiaohu Lu, Rong-Jun Qin, Xu Huang
Nowadays dense stereo matching has become one of the dominant tools in 3D reconstruction of urban regions for its low cost and high flexibility in generating dense 3D points.
no code implementations • 22 May 2019 • Bihe Chen, Rongjun Qin, Xu Huang, Shuang Song, Xiaohu Lu
Stereo dense image matching can be categorized to low-level feature based matching and deep feature based matching according to their matching cost metrics.