Search Results for author: Chang Li

Found 39 papers, 7 papers with code

Probabilistic Feature Selection and Classification Vector Machine

no code implementations18 Sep 2016 Bingbing Jiang, Chang Li, Maarten de Rijke, Xin Yao, Huanhuan Chen

The proposed method, called probabilistic feature selection and classification vector machine (PFCVMLP ), is able to simultaneously select relevant features and samples for classification tasks.

Classification feature selection +1

BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback

no code implementations15 Jun 2018 Chang Li, Branislav Kveton, Tor Lattimore, Ilya Markov, Maarten de Rijke, Csaba Szepesvari, Masrour Zoghi

In this paper, we study the problem of safe online learning to re-rank, where user feedback is used to improve the quality of displayed lists.

Learning-To-Rank Re-Ranking +1

Incremental Sparse Bayesian Ordinal Regression

1 code implementation18 Jun 2018 Chang Li, Maarten de Rijke

Ordinal Regression (OR) aims to model the ordering information between different data categories, which is a crucial topic in multi-label learning.

Multi-Label Learning regression

MergeDTS: A Method for Effective Large-Scale Online Ranker Evaluation

1 code implementation11 Dec 2018 Chang Li, Ilya Markov, Maarten de Rijke, Masrour Zoghi

Our main finding is that for large-scale Condorcet ranker evaluation problems, MergeDTS outperforms the state-of-the-art dueling bandit algorithms.

Information Retrieval Online Ranker Evaluation +2

Cascading Non-Stationary Bandits: Online Learning to Rank in the Non-Stationary Cascade Model

no code implementations29 May 2019 Chang Li, Maarten de Rijke

We consider the problem of identifying the K most attractive items and propose cascading non-stationary bandits, an online learning variant of the cascading model, where a user browses a ranked list from top to bottom and clicks on the first attractive item.

Learning-To-Rank

Encoding Social Information with Graph Convolutional Networks forPolitical Perspective Detection in News Media

no code implementations ACL 2019 Chang Li, Dan Goldwasser

Identifying the political perspective shaping the way news events are discussed in the media is an important and challenging task.

Quantum Communication between Multiplexed Atomic Quantum Memories

no code implementations5 Sep 2019 Chang Li, Nan Jiang, Yukai Wu, Wei Chang, Yunfei Pu, Sheng Zhang, Lu-Ming Duan

The use of multiplexed atomic quantum memories (MAQM) can significantly enhance the efficiency to establish entanglement in a quantum network.

Quantum Physics

Cascading Hybrid Bandits: Online Learning to Rank for Relevance and Diversity

no code implementations1 Dec 2019 Chang Li, Haoyun Feng, Maarten de Rijke

Relevance ranking aims at building a ranked list sorted in decreasing order of item relevance, while result diversification focuses on generating a ranked list of items that covers a broad range of topics.

Learning-To-Rank Recommendation Systems

Intrinsic motivation in virtual assistant interaction for fostering spontaneous interactions

no code implementations13 Oct 2020 Chang Li, Hideyoshi Yanagisawa

A novel motivation model is proposed, in which intrinsic motivation is affected by two factors that derive from user interactions with virtual assistants: expectation of capability and uncertainty.

The Skill-Action Architecture: Learning Abstract Action Embeddings for Reinforcement Learning

no code implementations1 Jan 2021 Chang Li, Dongjin Song, DaCheng Tao

Derived from a novel discovery that the SMDP option framework has an MDP equivalence, SA hierarchically extracts skills (abstract actions) from primary actions and explicitly encodes these knowledge into skill context vectors (embedding vectors).

Hierarchical Reinforcement Learning reinforcement-learning +1

Human Action Recognition Based on Multi-scale Feature Maps from Depth Video Sequences

no code implementations19 Jan 2021 Chang Li, Qian Huang, Xing Li, Qianhan Wu

We employ depth motion images (DMI) as the templates to generate the multi-scale static representation of actions.

Action Classification Action Recognition +1

Experimental demonstration of memory-enhanced scaling for entanglement connection of quantum repeater segments

no code implementations21 Jan 2021 Yunfei Pu, Sheng Zhang, Yukai Wu, Nan Jiang, Wei Chang, Chang Li, Luming Duan

The experimental realization of entanglement connection of two quantum repeater segments with an efficient memory-enhanced scaling demonstrates a key advantage of the quantum repeater protocol, which makes a cornerstone towards future large-scale quantum networks.

Quantum Physics

Federated Unbiased Learning to Rank

no code implementations11 May 2021 Chang Li, Hua Ouyang

Unbiased Learning to Rank (ULTR) studies the problem of learning a ranking function based on biased user interactions.

Federated Learning Learning-To-Rank +1

Elastic Tactile Simulation Towards Tactile-Visual Perception

2 code implementations11 Aug 2021 Yikai Wang, Wenbing Huang, Bin Fang, Fuchun Sun, Chang Li

By contrast, EIP models the tactile sensor as a group of coordinated particles, and the elastic property is applied to regulate the deformation of particles during contact.

Optimizing Ranking Systems Online as Bandits

no code implementations12 Oct 2021 Chang Li

Optimizing ranking systems online means that the deployed system can serve user requests, e. g., queries in the web search, and optimize the ranking policy by learning from user interactions, e. g., clicks.

Learning-To-Rank Online Ranker Evaluation +2

Toward Open-World Electroencephalogram Decoding Via Deep Learning: A Comprehensive Survey

no code implementations8 Dec 2021 Xun Chen, Chang Li, Aiping Liu, Martin J. McKeown, Ruobing Qian, Z. Jane Wang

Electroencephalogram (EEG) decoding aims to identify the perceptual, semantic, and cognitive content of neural processing based on non-invasively measured brain activity.

EEG Eeg Decoding

Coverage Optimization of Camera Network for Continuous Deformable Object

no code implementations16 Mar 2022 Chang Li, Xi Chen, Li Chai

To reduce the computational complexity, some feature points are carefully selected representing the continuous deformation process, and the visual coverage for the deformable object is transferred to cover the specific feature points.

Object

Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities

1 code implementation15 Apr 2022 Chuang Liu, Yibing Zhan, Jia Wu, Chang Li, Bo Du, Wenbin Hu, Tongliang Liu, DaCheng Tao

Graph neural networks have emerged as a leading architecture for many graph-level tasks, such as graph classification and graph generation.

Graph Classification Graph Generation

EEG-based Emotion Recognition via Efficient Convolutional Neural Network and Contrastive Learning

no code implementations IEEE Sensors Journal 2022 Chang Li, Xuejuan Lin, Yu Liu, Rencheng Song, Juan Cheng, Xun Chen

To achieve a simple and effective model with supervised learning, we propose an efficient CNN and contrastive learning (ECNN-C) method for EEG-based emotion recognition.

Contrastive Learning EEG +2

SOM-Net: Unrolling the Subspace-based Optimization for Solving Full-wave Inverse Scattering Problems

no code implementations8 Sep 2022 Yu Liu, Hao Zhao, Rencheng Song, Xudong Chen, Chang Li, Xun Chen

The final output of the SOM-Net is the full predicted induced current, from which the scattered field and the permittivity image can also be deduced analytically.

Rolling Shutter Correction

New $\sqrt{n}$-consistent, numerically stable higher-order influence function estimators

no code implementations16 Feb 2023 Lin Liu, Chang Li

Higher-Order Influence Functions (HOIFs) provide a unified theory for constructing rate-optimal estimators for a large class of low-dimensional (smooth) statistical functionals/parameters (and sometimes even infinite-dimensional functions) that arise in substantive fields including epidemiology, economics, and the social sciences.

Epidemiology

An Intelligent Remote Sensing Image Quality Inspection System

no code implementations22 Jul 2023 Yijiong Yu, Tao Wang, Kang Ran, Chang Li, Hao Wu

Due to the inevitable presence of quality problems, quality inspection of remote sensing images is indeed an indispensable step between the acquisition and the application of them.

Image Classification Semantic Segmentation

BRFL: A Blockchain-based Byzantine-Robust Federated Learning Model

no code implementations20 Oct 2023 Yang Li, Chunhe Xia, Chang Li, Tianbo Wang

With the increasing importance of machine learning, the privacy and security of training data have become critical.

Federated Learning

An Improved Artificial Fish Swarm Algorithm for Solving the Problem of Investigation Path Planning

no code implementations20 Oct 2023 Qian Huang, Weiwen Qian, Chang Li, Xuan Ding

Our objective is to minimize costs, and to achieve this, we propose a chaotic artificial fish swarm algorithm based on multiple population differential evolution (DE-CAFSA).

Decision Making Traveling Salesman Problem

Graph Representation Learning for Infrared and Visible Image Fusion

no code implementations1 Nov 2023 Jing Li, Lu Bai, Bin Yang, Chang Li, Lingfei Ma, Edwin R. Hancock

Then, GCNs are performed on the concatenate intra-modal NLss features of infrared and visible images, which can explore the cross-domain NLss of inter-modal to reconstruct the fused image.

Graph Representation Learning Infrared And Visible Image Fusion

FM-OV3D: Foundation Model-based Cross-modal Knowledge Blending for Open-Vocabulary 3D Detection

no code implementations22 Dec 2023 Dongmei Zhang, Chang Li, Ray Zhang, Shenghao Xie, Wei Xue, Xiaodong Xie, Shanghang Zhang

In this work, we propose FM-OV3D, a method of Foundation Model-based Cross-modal Knowledge Blending for Open-Vocabulary 3D Detection, which improves the open-vocabulary localization and recognition abilities of 3D model by blending knowledge from multiple pre-trained foundation models, achieving true open-vocabulary without facing constraints from original 3D datasets.

3D Object Detection 3D Open-Vocabulary Object Detection +2

Dual-modal Prior Semantic Guided Infrared and Visible Image Fusion for Intelligent Transportation System

no code implementations24 Mar 2024 Jing Li, Lu Bai, Bin Yang, Chang Li, Lingfei Ma, Lixin Cui, Edwin R. Hancock

Therefore, we propose a novel prior semantic guided image fusion method based on the dual-modality strategy, improving the performance of IVF in ITS.

Infrared And Visible Image Fusion Semantic Segmentation

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