Search Results for author: Biao Li

Found 25 papers, 13 papers with code

Discrete Conditional Diffusion for Reranking in Recommendation

no code implementations14 Aug 2023 Xiao Lin, Xiaokai Chen, Chenyang Wang, Hantao Shu, Linfeng Song, Biao Li, Peng Jiang

To overcome these challenges, we propose a novel Discrete Conditional Diffusion Reranking (DCDR) framework for recommendation.

Recommendation Systems

Measuring Item Global Residual Value for Fair Recommendation

1 code implementation17 Jul 2023 Jiayin Wang, Weizhi Ma, Chumeng Jiang, Min Zhang, Yuan Zhang, Biao Li, Peng Jiang

In this paper, we call for a shift of attention from modeling user preferences to developing fair exposure mechanisms for items.

Recommendation Systems

Adaptive Contextual Biasing for Transducer Based Streaming Speech Recognition

no code implementations1 Jun 2023 Tianyi Xu, Zhanheng Yang, Kaixun Huang, Pengcheng Guo, Ao Zhang, Biao Li, Changru Chen, Chao Li, Lei Xie

By incorporating additional contextual information, deep biasing methods have emerged as a promising solution for speech recognition of personalized words.

speech-recognition Speech Recognition

FedFTN: Personalized Federated Learning with Deep Feature Transformation Network for Multi-institutional Low-count PET Denoising

1 code implementation2 Apr 2023 Bo Zhou, Huidong Xie, Qiong Liu, Xiongchao Chen, Xueqi Guo, Zhicheng Feng, Jun Hou, S. Kevin Zhou, Biao Li, Axel Rominger, Kuangyu Shi, James S. Duncan, Chi Liu

While previous federated learning (FL) algorithms enable multi-institution collaborative training without the need of aggregating local data, addressing the large domain shift in the application of multi-institutional low-count PET denoising remains a challenge and is still highly under-explored.

Denoising Personalized Federated Learning

Practice of the conformer enhanced AUDIO-VISUAL HUBERT on Mandarin and English

no code implementations28 Feb 2023 Xiaoming Ren, Chao Li, Shenjian Wang, Biao Li

Considering the bimodal nature of human speech perception, lips, and teeth movement has a pivotal role in automatic speech recognition.

Automatic Speech Recognition speech-recognition +1

Disentangled Causal Embedding With Contrastive Learning For Recommender System

1 code implementation7 Feb 2023 Weiqi Zhao, Dian Tang, Xin Chen, Dawei Lv, Daoli Ou, Biao Li, Peng Jiang, Kun Gai

Most previous studies neglect user's conformity and entangle interest with it, which may cause the recommender systems fail to provide satisfying results.

Contrastive Learning Recommendation Systems

Real-time Short Video Recommendation on Mobile Devices

no code implementations20 Aug 2022 Xudong Gong, Qinlin Feng, Yuan Zhang, Jiangling Qin, Weijie Ding, Biao Li, Peng Jiang, Kun Gai

However, as users continue to watch videos and feedback, the changing context leads the ranking of the server-side recommendation system inaccurate.

Recommendation Systems Re-Ranking

CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System

1 code implementation4 Apr 2022 Chongming Gao, Shiqi Wang, Shijun Li, Jiawei Chen, Xiangnan He, Wenqiang Lei, Biao Li, Yuan Zhang, Peng Jiang

The basic idea is to first learn a causal user model on historical data to capture the overexposure effect of items on user satisfaction.

Causal Inference counterfactual +2

A Dual Neighborhood Hypergraph Neural Network for Change Detection in VHR Remote Sensing Images

no code implementations27 Feb 2022 Junzheng Wu, Ruigang Fu, Qiang Liu, Weiping Ni, Kenan Cheng, Biao Li, Yuli Sun

To address this limitation, a dual neighborhood hypergraph neural network is proposed in this article, which combines the multiscale superpixel segmentation and hypergraph convolution to model and exploit the complex relationships.

Change Detection

KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems

3 code implementations22 Feb 2022 Chongming Gao, Shijun Li, Wenqiang Lei, Jiawei Chen, Biao Li, Peng Jiang, Xiangnan He, Jiaxin Mao, Tat-Seng Chua

The progress of recommender systems is hampered mainly by evaluation as it requires real-time interactions between humans and systems, which is too laborious and expensive.

Recommendation Systems User Simulation

LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm

1 code implementation29 Jan 2022 Meng Ai, Biao Li, Heyang Gong, Qingwei Yu, Shengjie Xue, Yuan Zhang, Yunzhou Zhang, Peng Jiang

The proposed approach is currently serving over hundreds of millions of users on the platform and achieves one of the most tremendous improvements over these months.

Distributed Computing Marketing

An Improved Discriminative Optimization for 3D Rigid Point Cloud Registration

no code implementations18 Apr 2021 Jia Wang, Ping Wang, Biao Li, Ruigang Fu, Junzheng Wu

The Discriminative Optimization (DO) algorithm has been proved much successful in 3D point cloud registration.

Point Cloud Registration

A Multiscale Graph Convolutional Network for Change Detection in Homogeneous and Heterogeneous Remote Sensing Images

no code implementations16 Feb 2021 Junzheng Wu, Biao Li, Yao Qin, Weiping Ni, Han Zhang, Yuli Sun

In this paper, a novel CD method based on the graph convolutional network (GCN) and multiscale object-based technique is proposed for both homogeneous and heterogeneous images.

Change Detection

A Learning-based Optimization Algorithm:Image Registration Optimizer Network

1 code implementation23 Nov 2020 Jia Wang, Ping Wang, Biao Li, Yinghui Gao, Siyi Zhao

As the search space of registration is usually non-convex, the optimization algorithm, which aims to search the best transformation parameters, is a challenging step.

Image Registration

Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs

3 code implementations5 Aug 2020 Ruigang Fu, Qingyong Hu, Xiaohu Dong, Yulan Guo, Yinghui Gao, Biao Li

To have a better understanding and usage of Convolution Neural Networks (CNNs), the visualization and interpretation of CNNs has attracted increasing attention in recent years.

Image Generation

s-LWSR: Super Lightweight Super-Resolution Network

1 code implementation24 Sep 2019 Biao Li, Jiabin Liu, Bo Wang, Zhiquan Qi, Yong Shi

Deep learning (DL) architectures for superresolution (SR) normally contain tremendous parameters, which has been regarded as the crucial advantage for obtaining satisfying performance.


Position Focused Attention Network for Image-Text Matching

1 code implementation23 Jul 2019 Yaxiong Wang, Hao Yang, Xueming Qian, Lin Ma, Jing Lu, Biao Li, Xin Fan

Then, an attention mechanism is proposed to model the relations between the image region and blocks and generate the valuable position feature, which will be further utilized to enhance the region expression and model a more reliable relationship between the visual image and the textual sentence.

Image-text matching Position +3

Cross-Domain Collaborative Learning via Cluster Canonical Correlation Analysis and Random Walker for Hyperspectral Image Classification

no code implementations29 Aug 2018 Yao Qin, Lorenzo Bruzzone, Biao Li, Yuanxin Ye

To be specific, the proposed CDCL method is an iterative process of three main stages, i. e. twice of RW-based pseudolabeling and cross domain learning via C-CCA.

Domain Adaptation General Classification +1

Tensor Alignment Based Domain Adaptation for Hyperspectral Image Classification

no code implementations29 Aug 2018 Yao Qin, Lorenzo Bruzzone, Biao Li

Then we consider the subspace invariance between two domains as projection matrices and original tensors are projected as core tensors with lower dimensions into the invariant tensor subspace by applying Tucker decomposition.

Classification Domain Adaptation +3

An expanded evaluation of protein function prediction methods shows an improvement in accuracy

1 code implementation3 Jan 2016 Yuxiang Jiang, Tal Ronnen Oron, Wyatt T Clark, Asma R Bankapur, Daniel D'Andrea, Rosalba Lepore, Christopher S Funk, Indika Kahanda, Karin M Verspoor, Asa Ben-Hur, Emily Koo, Duncan Penfold-Brown, Dennis Shasha, Noah Youngs, Richard Bonneau, Alexandra Lin, Sayed ME Sahraeian, Pier Luigi Martelli, Giuseppe Profiti, Rita Casadio, Renzhi Cao, Zhaolong Zhong, Jianlin Cheng, Adrian Altenhoff, Nives Skunca, Christophe Dessimoz, Tunca Dogan, Kai Hakala, Suwisa Kaewphan, Farrokh Mehryary, Tapio Salakoski, Filip Ginter, Hai Fang, Ben Smithers, Matt Oates, Julian Gough, Petri Törönen, Patrik Koskinen, Liisa Holm, Ching-Tai Chen, Wen-Lian Hsu, Kevin Bryson, Domenico Cozzetto, Federico Minneci, David T Jones, Samuel Chapman, Dukka B K. C., Ishita K Khan, Daisuke Kihara, Dan Ofer, Nadav Rappoport, Amos Stern, Elena Cibrian-Uhalte, Paul Denny, Rebecca E Foulger, Reija Hieta, Duncan Legge, Ruth C Lovering, Michele Magrane, Anna N Melidoni, Prudence Mutowo-Meullenet, Klemens Pichler, Aleksandra Shypitsyna, Biao Li, Pooya Zakeri, Sarah ElShal, Léon-Charles Tranchevent, Sayoni Das, Natalie L Dawson, David Lee, Jonathan G Lees, Ian Sillitoe, Prajwal Bhat, Tamás Nepusz, Alfonso E Romero, Rajkumar Sasidharan, Haixuan Yang, Alberto Paccanaro, Jesse Gillis, Adriana E Sedeño-Cortés, Paul Pavlidis, Shou Feng, Juan M Cejuela, Tatyana Goldberg, Tobias Hamp, Lothar Richter, Asaf Salamov, Toni Gabaldon, Marina Marcet-Houben, Fran Supek, Qingtian Gong, Wei Ning, Yuanpeng Zhou, Weidong Tian, Marco Falda, Paolo Fontana, Enrico Lavezzo, Stefano Toppo, Carlo Ferrari, Manuel Giollo, Damiano Piovesan, Silvio Tosatto, Angela del Pozo, José M Fernández, Paolo Maietta, Alfonso Valencia, Michael L Tress, Alfredo Benso, Stefano Di Carlo, Gianfranco Politano, Alessandro Savino, Hafeez Ur Rehman, Matteo Re, Marco Mesiti, Giorgio Valentini, Joachim W Bargsten, Aalt DJ van Dijk, Branislava Gemovic, Sanja Glisic, Vladmir Perovic, Veljko Veljkovic, Nevena Veljkovic, Danillo C Almeida-e-Silva, Ricardo ZN Vencio, Malvika Sharan, Jörg Vogel, Lakesh Kansakar, Shanshan Zhang, Slobodan Vucetic, Zheng Wang, Michael JE Sternberg, Mark N Wass, Rachael P Huntley, Maria J Martin, Claire O'Donovan, Peter N. Robinson, Yves Moreau, Anna Tramontano, Patricia C Babbitt, Steven E Brenner, Michal Linial, Christine A Orengo, Burkhard Rost, Casey S Greene, Sean D Mooney, Iddo Friedberg, Predrag Radivojac

To review progress in the field, the analysis also compared the best methods participating in CAFA1 to those of CAFA2.

Quantitative Methods

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