Search Results for author: Bin Liu

Found 159 papers, 56 papers with code

HiGraphDTI: Hierarchical Graph Representation Learning for Drug-Target Interaction Prediction

no code implementations16 Apr 2024 Bin Liu, Siqi Wu, Jin Wang, Xin Deng, Ao Zhou

Specifically, HiGraphDTI learns hierarchical drug representations from triple-level molecular graphs to thoroughly exploit chemical information embedded in atoms, motifs, and molecules.

Graph Representation Learning molecular representation

Struggle with Adversarial Defense? Try Diffusion

no code implementations12 Apr 2024 Yujie Li, Yanbin Wang, Haitao Xu, Bin Liu, Jianguo Sun, Zhenhao Guo, Wenrui Ma

Unlike data-driven classifiers, TMDC, guided by Bayesian principles, utilizes the conditional likelihood from diffusion models to determine the class probabilities of input images, thereby insulating against the influences of data shift and the limitations of adversarial training.

Adversarial Defense Adversarial Robustness

Multi-Label Adaptive Batch Selection by Highlighting Hard and Imbalanced Samples

no code implementations27 Mar 2024 Ao Zhou, Bin Liu, Jin Wang, Grigorios Tsoumakas

However, the intrinsic class imbalance in multi-label data may bias the model towards majority labels, since samples relevant to minority labels may be underrepresented in each mini-batch.

Self-supervised Contrastive Learning for Implicit Collaborative Filtering

no code implementations12 Mar 2024 Shipeng Song, Bin Liu, Fei Teng, Tianrui Li

Contrastive learning-based recommendation algorithms have significantly advanced the field of self-supervised recommendation, particularly with BPR as a representative ranking prediction task that dominates implicit collaborative filtering.

Collaborative Filtering Contrastive Learning +1

3D-aware Image Generation and Editing with Multi-modal Conditions

no code implementations11 Mar 2024 Bo Li, Yi-ke Li, Zhi-fen He, Bin Liu, Yun-Kun Lai

3D-consistent image generation from a single 2D semantic label is an important and challenging research topic in computer graphics and computer vision.

Attribute Disentanglement +2

MiM-ISTD: Mamba-in-Mamba for Efficient Infrared Small Target Detection

1 code implementation4 Mar 2024 Tianxiang Chen, Zhentao Tan, Tao Gong, Qi Chu, Yue Wu, Bin Liu, Jieping Ye, Nenghai Yu

Inspired by the recent basic model with linear complexity for long-distance modeling, called Mamba, we explore the potential of this state space model for ISTD task in terms of effectiveness and efficiency in the paper.


Learning Contrastive Feature Representations for Facial Action Unit Detection

1 code implementation9 Feb 2024 Ziqiao Shang, Bin Liu, Fei Teng, Tianrui Li

To address the challenge posed by noisy AU labels, we augment the supervised signal through the introduction of a self-supervised signal.

Action Unit Detection Binary Classification +2

Bootstrapping Audio-Visual Segmentation by Strengthening Audio Cues

no code implementations4 Feb 2024 Tianxiang Chen, Zhentao Tan, Tao Gong, Qi Chu, Yue Wu, Bin Liu, Le Lu, Jieping Ye, Nenghai Yu

This bidirectional interaction narrows the modality imbalance, facilitating more effective learning of integrated audio-visual representations.

Decoder Representation Learning

TCI-Former: Thermal Conduction-Inspired Transformer for Infrared Small Target Detection

no code implementations3 Feb 2024 Tianxiang Chen, Zhentao Tan, Qi Chu, Yue Wu, Bin Liu, Nenghai Yu

We abstract this process as the directional movement of feature map pixels to target areas through convolution, pooling and interactions with surrounding pixels, which can be analogous to the movement of thermal particles constrained by surrounding variables and particles.

WiOpen: A Robust Wi-Fi-based Open-set Gesture Recognition Framework

1 code implementation1 Feb 2024 Xiang Zhang, Jingyang Huang, Huan Yan, Peng Zhao, Guohang Zhuang, Zhi Liu, Bin Liu

This uncertainty, resulting from noise and domains, leads to widely scattered and irregular data distributions in collected Wi-Fi sensing data.

Gesture Recognition Uncertainty Quantification

HiCMAE: Hierarchical Contrastive Masked Autoencoder for Self-Supervised Audio-Visual Emotion Recognition

1 code implementation11 Jan 2024 Licai Sun, Zheng Lian, Bin Liu, JianHua Tao

Audio-Visual Emotion Recognition (AVER) has garnered increasing attention in recent years for its critical role in creating emotion-ware intelligent machines.

Contrastive Learning Dynamic Facial Expression Recognition +3

GPT-4V with Emotion: A Zero-shot Benchmark for Generalized Emotion Recognition

1 code implementation7 Dec 2023 Zheng Lian, Licai Sun, Haiyang Sun, Kang Chen, Zhuofan Wen, Hao Gu, Bin Liu, JianHua Tao

To bridge this gap, we present the quantitative evaluation results of GPT-4V on 21 benchmark datasets covering 6 tasks: visual sentiment analysis, tweet sentiment analysis, micro-expression recognition, facial emotion recognition, dynamic facial emotion recognition, and multimodal emotion recognition.

Facial Emotion Recognition Micro Expression Recognition +3

Towards More Unified In-context Visual Understanding

no code implementations5 Dec 2023 Dianmo Sheng, Dongdong Chen, Zhentao Tan, Qiankun Liu, Qi Chu, Jianmin Bao, Tao Gong, Bin Liu, Shengwei Xu, Nenghai Yu

Thanks to this design, the model is capable of handling in-context vision understanding tasks with multimodal output in a unified pipeline. Experimental results demonstrate that our model achieves competitive performance compared with specialized models and previous ICL baselines.

Decoder Image Captioning +2

Large Language Model as a Policy Teacher for Training Reinforcement Learning Agents

1 code implementation22 Nov 2023 ZiHao Zhou, Bin Hu, Chenyang Zhao, Pu Zhang, Bin Liu

By incorporating the guidance from the teacher agent, the student agent can distill the prior knowledge of the LLM into its own model.

Decision Making Language Modelling +2

Exploiting Modality-Specific Features For Multi-Modal Manipulation Detection And Grounding

no code implementations22 Sep 2023 Jiazhen Wang, Bin Liu, Changtao Miao, Zhiwei Zhao, Wanyi Zhuang, Qi Chu, Nenghai Yu

Existing methods for multi-modal manipulation detection and grounding primarily focus on fusing vision-language features to make predictions, while overlooking the importance of modality-specific features, leading to sub-optimal results.

Emotion-Aware Prosodic Phrasing for Expressive Text-to-Speech

1 code implementation21 Sep 2023 Rui Liu, Bin Liu, Haizhou Li

Prosodic phrasing is crucial to the naturalness and intelligibility of end-to-end Text-to-Speech (TTS).

SoccerNet 2023 Challenges Results

2 code implementations12 Sep 2023 Anthony Cioppa, Silvio Giancola, Vladimir Somers, Floriane Magera, Xin Zhou, Hassan Mkhallati, Adrien Deliège, Jan Held, Carlos Hinojosa, Amir M. Mansourian, Pierre Miralles, Olivier Barnich, Christophe De Vleeschouwer, Alexandre Alahi, Bernard Ghanem, Marc Van Droogenbroeck, Abdullah Kamal, Adrien Maglo, Albert Clapés, Amr Abdelaziz, Artur Xarles, Astrid Orcesi, Atom Scott, Bin Liu, Byoungkwon Lim, Chen Chen, Fabian Deuser, Feng Yan, Fufu Yu, Gal Shitrit, Guanshuo Wang, Gyusik Choi, Hankyul Kim, Hao Guo, Hasby Fahrudin, Hidenari Koguchi, Håkan Ardö, Ibrahim Salah, Ido Yerushalmy, Iftikar Muhammad, Ikuma Uchida, Ishay Be'ery, Jaonary Rabarisoa, Jeongae Lee, Jiajun Fu, Jianqin Yin, Jinghang Xu, Jongho Nang, Julien Denize, Junjie Li, Junpei Zhang, Juntae Kim, Kamil Synowiec, Kenji Kobayashi, Kexin Zhang, Konrad Habel, Kota Nakajima, Licheng Jiao, Lin Ma, Lizhi Wang, Luping Wang, Menglong Li, Mengying Zhou, Mohamed Nasr, Mohamed Abdelwahed, Mykola Liashuha, Nikolay Falaleev, Norbert Oswald, Qiong Jia, Quoc-Cuong Pham, Ran Song, Romain Hérault, Rui Peng, Ruilong Chen, Ruixuan Liu, Ruslan Baikulov, Ryuto Fukushima, Sergio Escalera, Seungcheon Lee, Shimin Chen, Shouhong Ding, Taiga Someya, Thomas B. Moeslund, Tianjiao Li, Wei Shen, Wei zhang, Wei Li, Wei Dai, Weixin Luo, Wending Zhao, Wenjie Zhang, Xinquan Yang, Yanbiao Ma, Yeeun Joo, Yingsen Zeng, Yiyang Gan, Yongqiang Zhu, Yujie Zhong, Zheng Ruan, Zhiheng Li, Zhijian Huang, Ziyu Meng

More information on the tasks, challenges, and leaderboards are available on https://www. soccer-net. org.

Action Spotting Camera Calibration +3

Unsupervised Out-of-Distribution Detection by Restoring Lossy Inputs with Variational Autoencoder

1 code implementation5 Sep 2023 Zezhen Zeng, Bin Liu

Deep generative models have been demonstrated as problematic in the unsupervised out-of-distribution (OOD) detection task, where they tend to assign higher likelihoods to OOD samples.

Out-of-Distribution Detection Out of Distribution (OOD) Detection

Contrastive Learning of Temporal Distinctiveness for Survival Analysis in Electronic Health Records

no code implementations24 Aug 2023 Mohsen Nayebi Kerdabadi, Arya Hadizadeh Moghaddam, Bin Liu, Mei Liu, Zijun Yao

Therefore, in this paper, we propose a novel Ontology-aware Temporality-based Contrastive Survival (OTCSurv) analysis framework that utilizes survival durations from both censored and observed data to define temporal distinctiveness and construct negative sample pairs with adjustable hardness for contrastive learning.

Contrastive Learning Survival Analysis

Video Captioning with Aggregated Features Based on Dual Graphs and Gated Fusion

no code implementations13 Aug 2023 Yutao Jin, Bin Liu, Jing Wang

The application of video captioning models aims at translating the content of videos by using accurate natural language.

Video Captioning

Debiased Pairwise Learning from Positive-Unlabeled Implicit Feedback

1 code implementation29 Jul 2023 Bin Liu, Qin Luo, Bang Wang

Learning contrastive representations from pairwise comparisons has achieved remarkable success in various fields, such as natural language processing, computer vision, and information retrieval.

Collaborative Filtering Information Retrieval +1

Unveiling the Potential of Knowledge-Prompted ChatGPT for Enhancing Drug Trafficking Detection on Social Media

no code implementations7 Jul 2023 Chuanbo Hu, Bin Liu, Xin Li, Yanfang Ye

By integrating prior knowledge and the proposed prompts, ChatGPT can effectively identify and label drug trafficking activities on social networks, even in the presence of deceptive language and euphemisms used by drug dealers to evade detection.


MotionGPT: Finetuned LLMs Are General-Purpose Motion Generators

no code implementations19 Jun 2023 Yaqi Zhang, Di Huang, Bin Liu, Shixiang Tang, Yan Lu, Lu Chen, Lei Bai, Qi Chu, Nenghai Yu, Wanli Ouyang

Generating realistic human motion from given action descriptions has experienced significant advancements because of the emerging requirement of digital humans.

EVOPOSE: A Recursive Transformer For 3D Human Pose Estimation With Kinematic Structure Priors

no code implementations16 Jun 2023 Yaqi Zhang, Yan Lu, Bin Liu, Zhiwei Zhao, Qi Chu, Nenghai Yu

Transformer is popular in recent 3D human pose estimation, which utilizes long-term modeling to lift 2D keypoints into the 3D space.

3D Human Pose Estimation

Securing Visually-Aware Recommender Systems: An Adversarial Image Reconstruction and Detection Framework

no code implementations11 Jun 2023 Minglei Yin, Bin Liu, Neil Zhenqiang Gong, Xin Li

Our proposed method can simultaneously (1) secure VARS from adversarial attacks characterized by local perturbations by image reconstruction based on global vision transformers; and (2) accurately detect adversarial examples using a novel contrastive learning approach.

Contrastive Learning Image Reconstruction +1

Reducing Popularity Bias in Recommender Systems through AUC-Optimal Negative Sampling

1 code implementation2 Jun 2023 Bin Liu, Erjia Chen, Bang Wang

To achieve this win-win situation, we propose to intervene in model training through negative sampling thereby modifying model predictions.

Fairness Recommendation Systems

Multi-spectral Class Center Network for Face Manipulation Detection and Localization

1 code implementation18 May 2023 Changtao Miao, Qi Chu, Zhentao Tan, Zhenchao Jin, Wanyi Zhuang, Yue Wu, Bin Liu, Honggang Hu, Nenghai Yu

Next, a novel Multi-Spectral Class Center Network (MSCCNet) is proposed for face manipulation detection and localization.

Face Swapping

Restormer-Plus for Real World Image Deraining: the Runner-up Solution to the GT-RAIN Challenge (CVPR 2023 UG2+ Track 3)

1 code implementation9 May 2023 Chaochao Zheng, Luping Wang, Bin Liu

It consists of four main modules: the single-image de-raining module (Restormer-X), the median filtering module, the weighted averaging module, and the post-processing module.

Rain Removal SSIM

Use the Detection Transformer as a Data Augmenter

1 code implementation10 Apr 2023 Luping Wang, Bin Liu

In contrast, DeMix elaborately selects a semantically rich patch, located by a pre-trained DETR.

Data Augmentation Image Classification +2

On Context Distribution Shift in Task Representation Learning for Offline Meta RL

1 code implementation1 Apr 2023 Chenyang Zhao, ZiHao Zhou, Bin Liu

Offline Meta Reinforcement Learning (OMRL) aims to learn transferable knowledge from offline datasets to enhance the learning process for new target tasks.

Continuous Control Meta Reinforcement Learning +3

Futures Quantitative Investment with Heterogeneous Continual Graph Neural Network

no code implementations29 Mar 2023 Min Hu, Zhizhong Tan, Bin Liu, Guosheng Yin

This study aims to address the challenges of futures price prediction in high-frequency trading (HFT) by proposing a continuous learning factor predictor based on graph neural networks.

Change Point Detection Decision Making +1

Towards Commonsense Knowledge based Fuzzy Systems for Supporting Size-Related Fine-Grained Object Detection

1 code implementation16 Mar 2023 Pu Zhang, Tianhua Chen, Bin Liu

To achieve accurate fine-grained detection, one needs to employ a large enough model and a vast amount of data annotations.

Edge-computing object-detection +1

Toward NeuroDM: Where Computational Neuroscience Meets Data Mining

no code implementations7 Mar 2023 Xin Li, Bin Liu, Shuo Wang

At the intersection of computational neuroscience (CN) and data mining (DM), we advocate a holistic view toward their rich connections.

Pose-Controllable 3D Facial Animation Synthesis using Hierarchical Audio-Vertex Attention

no code implementations24 Feb 2023 Bin Liu, Xiaolin Wei, Bo Li, Junjie Cao, Yu-Kun Lai

In this paper, a novel pose-controllable 3D facial animation synthesis method is proposed by utilizing hierarchical audio-vertex attention.

Attribute Face Model

3D Colored Shape Reconstruction from a Single RGB Image through Diffusion

no code implementations11 Feb 2023 Bo Li, Xiaolin Wei, Fengwei Chen, Bin Liu

In shape prediction module, the reference RGB image is first encoded into a high-level shape feature and then the shape feature is utilized as a condition to predict the reverse geometric noise in diffusion model.

3D Reconstruction 3D Shape Generation +1

A Reduction-based Framework for Sequential Decision Making with Delayed Feedback

no code implementations NeurIPS 2023 Yunchang Yang, Han Zhong, Tianhao Wu, Bin Liu, LiWei Wang, Simon S. Du

We study stochastic delayed feedback in general multi-agent sequential decision making, which includes bandits, single-agent Markov decision processes (MDPs), and Markov games (MGs).

Decision Making

Bayesian Self-Supervised Contrastive Learning

1 code implementation27 Jan 2023 Bin Liu, Bang Wang, Tianrui Li

Recent years have witnessed many successful applications of contrastive learning in diverse domains, yet its self-supervised version still remains many exciting challenges.

Contrastive Learning

MnTTS2: An Open-Source Multi-Speaker Mongolian Text-to-Speech Synthesis Dataset

1 code implementation11 Dec 2022 Kailin Liang, Bin Liu, Yifan Hu, Rui Liu, Feilong Bao, Guanglai Gao

Text-to-Speech (TTS) synthesis for low-resource languages is an attractive research issue in academia and industry nowadays.

Speech Synthesis Text-To-Speech Synthesis

Fine-Grained Selective Similarity Integration for Drug-Target Interaction Prediction

1 code implementation1 Dec 2022 Bin Liu, Jin Wang, Kaiwei Sun, Grigorios Tsoumakas

Recently, with the availability of abundant heterogeneous biological information from diverse data sources, computational methods have been able to leverage multiple drug and target similarities to boost the performance of DTI prediction.

IRNet: Iterative Refinement Network for Noisy Partial Label Learning

1 code implementation9 Nov 2022 Zheng Lian, Mingyu Xu, Lan Chen, Licai Sun, Bin Liu, JianHua Tao

In this paper, we relax this assumption and focus on a more general problem, noisy PLL, where the ground-truth label may not exist in the candidate set.

Data Augmentation Partial Label Learning +1

SML:Enhance the Network Smoothness with Skip Meta Logit for CTR Prediction

no code implementations9 Oct 2022 Wenlong Deng, Lang Lang, Zhen Liu, Bin Liu

In light of the smoothness property brought by skip connections in ResNet, this paper proposed the Skip Logit to introduce the skip connection mechanism that fits arbitrary DNN dimensions and embraces similar properties to ResNet.

Click-Through Rate Prediction Learning-To-Rank

Learning by Consuming: Optimal Pricing with Endogenous Information Provision

no code implementations3 Sep 2022 Huiyi Guo, wei he, Bin Liu

We study the revenue-maximizing mechanism when a buyer's value evolves endogenously because of learning-by-consuming.

Q-Net: Query-Informed Few-Shot Medical Image Segmentation

1 code implementation24 Aug 2022 Qianqian Shen, Yanan Li, Jiyong Jin, Bin Liu

Deep learning has achieved tremendous success in computer vision, while medical image segmentation (MIS) remains a challenge, due to the scarcity of data annotations.

Anomaly Detection Image Segmentation +3

Efficient Multimodal Transformer with Dual-Level Feature Restoration for Robust Multimodal Sentiment Analysis

1 code implementation16 Aug 2022 Licai Sun, Zheng Lian, Bin Liu, JianHua Tao

With the proliferation of user-generated online videos, Multimodal Sentiment Analysis (MSA) has attracted increasing attention recently.

Multimodal Sentiment Analysis Representation Learning

Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification

no code implementations1 Aug 2022 Xulin Li, Yan Lu, Bin Liu, Yating Liu, Guojun Yin, Qi Chu, Jinyang Huang, Feng Zhu, Rui Zhao, Nenghai Yu

But we find existing graph-based methods in the visible-infrared person re-identification task (VI-ReID) suffer from bad generalization because of two issues: 1) train-test modality balance gap, which is a property of VI-ReID task.

counterfactual Person Re-Identification

Intelligent decision-making method of TBM operating parameters based on multiple constraints and objective optimization

no code implementations31 Jul 2022 Bin Liu, Jiwen Wang, Ruirui Wang, Yaxu Wang, Guangzu Zhao

This method is verified in the field of the Second Water Source Channel of Hangzhou, China, resulting in the average penetration rate increased by 11. 3%, and the total cost decreased by 10. 0%, which proves the practicability and effectiveness of the developed decision-making model.

Decision Making

Two-Aspect Information Fusion Model For ABAW4 Multi-task Challenge

no code implementations23 Jul 2022 Haiyang Sun, Zheng Lian, Bin Liu, JianHua Tao, Licai Sun, Cong Cai

In this paper, we propose the solution to the Multi-Task Learning (MTL) Challenge of the 4th Affective Behavior Analysis in-the-wild (ABAW) competition.

Multi-Task Learning Vocal Bursts Valence Prediction

Towards Intrinsic Common Discriminative Features Learning for Face Forgery Detection using Adversarial Learning

no code implementations8 Jul 2022 Wanyi Zhuang, Qi Chu, Haojie Yuan, Changtao Miao, Bin Liu, Nenghai Yu

Existing face forgery detection methods usually treat face forgery detection as a binary classification problem and adopt deep convolution neural networks to learn discriminative features.

Binary Classification Classification +1

Adversarial Ensemble Training by Jointly Learning Label Dependencies and Member Models

1 code implementation29 Jun 2022 Lele Wang, Bin Liu

In this paper, we propose a novel adversarial en-semble training approach that jointly learns the label dependencies and member models.

Adversarial Robustness

Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning

no code implementations30 May 2022 Chengfei Lv, Chaoyue Niu, Renjie Gu, Xiaotang Jiang, Zhaode Wang, Bin Liu, Ziqi Wu, Qiulin Yao, Congyu Huang, Panos Huang, Tao Huang, Hui Shu, Jinde Song, Bin Zou, Peng Lan, Guohuan Xu, Fei Wu, Shaojie Tang, Fan Wu, Guihai Chen

Walle consists of a deployment platform, distributing ML tasks to billion-scale devices in time; a data pipeline, efficiently preparing task input; and a compute container, providing a cross-platform and high-performance execution environment, while facilitating daily task iteration.

Emergence of Double-slit Interference by Representing Visual Space in Artificial Neural Networks

no code implementations20 May 2022 Xiuxiu Bai, Zhe Liu, Yao Gao, Bin Liu, Yongqiang Hao

Artificial neural networks have realized incredible successes at image recognition, but the underlying mechanism of visual space representation remains a huge mystery.

BBDM: Image-to-image Translation with Brownian Bridge Diffusion Models

1 code implementation CVPR 2023 Bo Li, Kaitao Xue, Bin Liu, Yu-Kun Lai

In this paper, a novel image-to-image translation method based on the Brownian Bridge Diffusion Model (BBDM) is proposed, which models image-to-image translation as a stochastic Brownian bridge process, and learns the translation between two domains directly through the bidirectional diffusion process rather than a conditional generation process.

Image-to-Image Translation Translation

Real-time Online Multi-Object Tracking in Compressed Domain

no code implementations5 Apr 2022 Qiankun Liu, Bin Liu, Yue Wu, Weihai Li, Nenghai Yu

Recent online Multi-Object Tracking (MOT) methods have achieved desirable tracking performance.

Multi-Object Tracking Object +1

Bayesian Negative Sampling for Recommendation

1 code implementation2 Apr 2022 Bin Liu, Bang Wang

Although previous studies have proposed some approaches to sample informative instances, few has been done to discriminating false negative from true negative for unbiased negative sampling.

Collaborative Filtering Contrastive Learning +1

i-Razor: A Differentiable Neural Input Razor for Feature Selection and Dimension Search in DNN-Based Recommender Systems

1 code implementation1 Apr 2022 Yao Yao, Bin Liu, Haoxun He, Dakui Sheng, Ke Wang, Li Xiao, Huanhuan Cao

Noisy features and inappropriate embedding dimension assignments can deteriorate the performance of recommender systems and introduce unnecessary complexity in model training and online serving.

Click-Through Rate Prediction Feature Engineering +3

GCNet: Graph Completion Network for Incomplete Multimodal Learning in Conversation

1 code implementation4 Mar 2022 Zheng Lian, Lan Chen, Licai Sun, Bin Liu, JianHua Tao

To this end, we propose a novel framework for incomplete multimodal learning in conversations, called "Graph Complete Network (GCNet)", filling the gap of existing works.

WSLRec: Weakly Supervised Learning for Neural Sequential Recommendation Models

no code implementations28 Feb 2022 Jingwei Zhuo, Bin Liu, Xiang Li, Han Zhu, Xiaoqiang Zhu

Motivated by the observation that model-free methods like behavioral retargeting (BR) and item-based collaborative filtering (ItemCF) hit different parts of the user-item relevance compared to neural sequential recommendation models, we propose a novel model-agnostic training approach called WSLRec, which adopts a three-stage framework: pre-training, top-$k$ mining, and fine-tuning.

Collaborative Filtering Sequential Recommendation +1

PFGE: Parsimonious Fast Geometric Ensembling of DNNs

1 code implementation14 Feb 2022 Hao Guo, Jiyong Jin, Bin Liu

Ensemble methods are commonly used to enhance the generalization performance of machine learning models.

Multiple Similarity Drug-Target Interaction Prediction with Random Walks and Matrix Factorization

1 code implementation24 Jan 2022 Bin Liu, Dimitrios Papadopoulos, Fragkiskos D. Malliaros, Grigorios Tsoumakas, Apostolos N. Papadopoulos

Moreover, the validation of highly ranked non-interacting pairs also demonstrates the potential of MDMF2A to discover novel DTIs.

Online Multi-Object Tracking with Unsupervised Re-Identification Learning and Occlusion Estimation

no code implementations4 Jan 2022 Qiankun Liu, Dongdong Chen, Qi Chu, Lu Yuan, Bin Liu, Lei Zhang, Nenghai Yu

In addition, such practice of re-identification still can not track those highly occluded objects when they are missed by the detector.

Ranked #7 on Multi-Object Tracking on MOT16 (using extra training data)

Multi-Object Tracking Object +2

Stochastic Weight Averaging Revisited

1 code implementation3 Jan 2022 Hao Guo, Jiyong Jin, Bin Liu

PSWA outperforms its backbone SGD remarkably, providing experimental evidences for the existence of global geometric structures.

Detecting and Identifying Optical Signal Attacks on Autonomous Driving Systems

no code implementations20 Oct 2021 Jindi Zhang, Yifan Zhang, Kejie Lu, JianPing Wang, Kui Wu, Xiaohua Jia, Bin Liu

In our study, we use real data sets and the state-of-the-art machine learning model to evaluate our attack detection scheme and the results confirm the effectiveness of our detection method.

Autonomous Driving object-detection +1

Unsupervised Finetuning

no code implementations18 Oct 2021 Suichan Li, Dongdong Chen, Yinpeng Chen, Lu Yuan, Lei Zhang, Qi Chu, Bin Liu, Nenghai Yu

This problem is more challenging than the supervised counterpart, as the low data density in the small-scale target data is not friendly for unsupervised learning, leading to the damage of the pretrained representation and poor representation in the target domain.

Asymmetric Graph Representation Learning

no code implementations14 Oct 2021 Zhuo Tan, Bin Liu, Guosheng Yin

We define an incoming embedding and an outgoing embedding for each node to model its sending and receiving features respectively.

Graph Representation Learning

ISNet: Integrate Image-Level and Semantic-Level Context for Semantic Segmentation

1 code implementation ICCV 2021 Zhenchao Jin, Bin Liu, Qi Chu, Nenghai Yu

Third, we compute the similarities between each pixel representation and the image-level contextual information, the semantic-level contextual information, respectively.

Image Segmentation Semantic Segmentation

Consistent Relative Confidence and Label-Free Model Selection for Convolutional Neural Networks

no code implementations26 Aug 2021 Bin Liu

Current model selection methods all require access to a batch of labeled data for computing a pre-specified performance metric, such as the cross-entropy loss, the classification error rate and the negative log-likelihood.

Image Classification Model Selection

Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach

no code implementations19 Aug 2021 Chuanbo Hu, Minglei Yin, Bin Liu, Xin Li, Yanfang Ye

Accordingly, accurate detection of illicit drug trafficking events (IDTEs) from social media has become even more challenging.


Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion

no code implementations18 Aug 2021 Chuanbo Hu, Minglei Yin, Bin Liu, Xin Li, Yanfang Ye

Unlike existing methods that focus on posting-based detection, we propose to tackle the problem of illicit drug dealer identification by constructing a large-scale multimodal dataset named Identifying Drug Dealers on Instagram (IDDIG).

Community Detection

Escaping the Gradient Vanishing: Periodic Alternatives of Softmax in Attention Mechanism

1 code implementation16 Aug 2021 Shulun Wang, Bin Liu, Feng Liu

Softmax is widely used in neural networks for multiclass classification, gate structure and attention mechanisms.

Abnormal Behavior Detection Based on Target Analysis

no code implementations29 Jul 2021 Luchuan Song, Bin Liu, Huihui Zhu, Qi Chu, Nenghai Yu

To this end, we propose a multivariate fusion method that analyzes each target through three branches: object, action and motion.


Cascaded Residual Density Network for Crowd Counting

no code implementations29 Jul 2021 Kun Zhao, Luchuan Song, Bin Liu, Qi Chu, Nenghai Yu

Crowd counting is a challenging task due to the issues such as scale variation and perspective variation in real crowd scenes.

Crowd Counting

Improve Unsupervised Pretraining for Few-label Transfer

no code implementations ICCV 2021 Suichan Li, Dongdong Chen, Yinpeng Chen, Lu Yuan, Lei Zhang, Qi Chu, Bin Liu, Nenghai Yu

Unsupervised pretraining has achieved great success and many recent works have shown unsupervised pretraining can achieve comparable or even slightly better transfer performance than supervised pretraining on downstream target datasets.

Clustering Contrastive Learning

Robust Dynamic Multi-Modal Data Fusion: A Model Uncertainty Perspective

1 code implementation13 May 2021 Bin Liu

Then the problem of concern is formalized as a task of nonlinear non-Gaussian state filtering under model uncertainty, which is addressed by a dynamic model averaging (DMA) based particle filter (PF) algorithm.

Optimizing Area Under the Curve Measures via Matrix Factorization for Predicting Drug-Target Interaction with Multiple Similarities

1 code implementation1 May 2021 Bin Liu, Grigorios Tsoumakas

In drug discovery, identifying drug-target interactions (DTIs) via experimental approaches is a tedious and expensive procedure.

Drug Discovery

Intelligent Decision Method for Main Control Parameters of Tunnel Boring Machine based on Multi-Objective Optimization of Excavation Efficiency and Cost

no code implementations29 Apr 2021 Bin Liu, Yaxu Wang, Guangzu Zhao, Bin Yang, Ruirui Wang, Dexiang Huang, Bin Xiang

Therefore, this paper proposes an intelligent decision method for the main control parameters of the TBM based on the multi-objective optimization of excavation efficiency and cost.

"Weak AI" is Likely to Never Become "Strong AI", So What is its Greatest Value for us?

no code implementations29 Mar 2021 Bin Liu

AI has surpassed humans across a variety of tasks such as image classification, playing games (e. g., go, "Starcraft" and poker), and protein structure prediction.

Image Classification Protein Structure Prediction +1

Diverse Semantic Image Synthesis via Probability Distribution Modeling

1 code implementation CVPR 2021 Zhentao Tan, Menglei Chai, Dongdong Chen, Jing Liao, Qi Chu, Bin Liu, Gang Hua, Nenghai Yu

In this paper, we propose a novel diverse semantic image synthesis framework from the perspective of semantic class distributions, which naturally supports diverse generation at semantic or even instance level.

Image-to-Image Translation

Bayesian adversarial multi-node bandit for optimal smart grid protection against cyber attacks

no code implementations20 Feb 2021 Jianyu Xu, Bin Liu, Huadong Mo, Daoyi Dong

The cybersecurity of smart grids has become one of key problems in developing reliable modern power and energy systems.

A Random Algorithm for Profit Maximization with Multiple Adoptions in Online Social Networks

no code implementations15 Jan 2021 Tiantian Chen, Bin Liu, Wenjing Liu, Qizhi Fang, Jing Yuan, Weili Wu

Through "word of mouth" effects, information or product adoption could spread from some influential individuals to millions of users in social networks.

Social and Information Networks

Data Poisoning Attacks to Deep Learning Based Recommender Systems

no code implementations7 Jan 2021 Hai Huang, Jiaming Mu, Neil Zhenqiang Gong, Qi Li, Bin Liu, Mingwei Xu

Specifically, we formulate our attack as an optimization problem, such that the injected ratings would maximize the number of normal users to whom the target items are recommended.

Data Poisoning Recommendation Systems

Drug-Target Interaction Prediction via an Ensemble of Weighted Nearest Neighbors with Interaction Recovery

1 code implementation22 Dec 2020 Bin Liu, Konstantinos Pliakos, Celine Vens, Grigorios Tsoumakas

In addition, WkNNIR exploits local imbalance to promote the influence of more reliable similarities on the interaction recovery and prediction processes.

Drug Discovery

Learning distributed sentence vectors with bi-directional 3D convolutions

no code implementations COLING 2020 Bin Liu, Liang Wang, Guosheng Yin

Similar to the Bi-LSTM, these n-gram detectors learn both forward and backward distributional semantic knowledge from the sentence tensor.

Sentence Sentence Embedding +1

Deep Time Delay Neural Network for Speech Enhancement with Full Data Learning

no code implementations11 Nov 2020 Cunhang Fan, Bin Liu, JianHua Tao, Jiangyan Yi, Zhengqi Wen, Leichao Song

This paper proposes a deep time delay neural network (TDNN) for speech enhancement with full data learning.

Speech Enhancement

Gated Recurrent Fusion with Joint Training Framework for Robust End-to-End Speech Recognition

no code implementations9 Nov 2020 Cunhang Fan, Jiangyan Yi, JianHua Tao, Zhengkun Tian, Bin Liu, Zhengqi Wen

The joint training framework for speech enhancement and recognition methods have obtained quite good performances for robust end-to-end automatic speech recognition (ASR).

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Enhanced Lidov-Kozai migration and the formation of the transiting giant planet WD1856+534b

no code implementations8 Oct 2020 Christopher E. O'Connor, Bin Liu, Dong Lai

By requiring that perturbations from the companion stars be able to overcome short-range forces and excite the planet's eccentricity to $e \simeq 1$, we obtain an absolute limit of $a_{1} \gtrsim 8 \, {\rm AU} \, (a_{3} / 1500 \, {\rm AU})^{6/7}$ for the planet's semi-major axis just before migration (where $a_{3}$ is the semi-major axis of the 'outer' orbit).

Earth and Planetary Astrophysics Solar and Stellar Astrophysics

Quantum droplets in two-dimensional optical lattices

no code implementations15 Sep 2020 Yiyin Zheng, Shantong Chen, Zhipeng Huang, Shixuan Dai, Bin Liu, Yongyao Li, Shurong Wang

We study the stability of zero-vorticity and vortex lattice quantum droplets (LQDs), which are described by a two-dimensional (2D) Gross-Pitaevskii (GP) equation with a periodic potential and Lee-Huang-Yang (LHY) term.

Pattern Formation and Solitons Quantum Physics

A Deep Learning Approach to Quasar Continuum Prediction

1 code implementation8 Jun 2020 Bin Liu, Rongmon Bordoloi

We apply iQNet and predict the continua of $\sim$3200 SDSS-DR16 quasar spectra at higher redshift ($2< z \leq 5$) and measure the redshift evolution of mean transmitted flux ($< F >$) in the Ly-$\alpha$ forest region.

Astrophysics of Galaxies

Multi-Label Sampling based on Local Label Imbalance

1 code implementation7 May 2020 Bin Liu, Konstantinos Blekas, Grigorios Tsoumakas

Experimental results on 13 multi-label datasets demonstrate the effectiveness of the proposed measure and sampling approaches for a variety of evaluation metrics, particularly in the case of an ensemble of classifiers trained on repeated samples of the original data.

Multi-Label Learning

Simultaneous Denoising and Dereverberation Using Deep Embedding Features

no code implementations6 Apr 2020 Cunhang Fan, Jian-Hua Tao, Bin Liu, Jiangyan Yi, Zhengqi Wen

In this paper, we propose a joint training method for simultaneous speech denoising and dereverberation using deep embedding features, which is based on the deep clustering (DC).

Clustering Deep Clustering +4

Density-Aware Graph for Deep Semi-Supervised Visual Recognition

no code implementations CVPR 2020 Suichan Li, Bin Liu, Dong-Dong Chen, Qi Chu, Lu Yuan, Nenghai Yu

Motivated by these limitations, this paper proposes to solve the SSL problem by building a novel density-aware graph, based on which the neighborhood information can be easily leveraged and the feature learning and label propagation can also be trained in an end-to-end way.

Pseudo Label

AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction

4 code implementations25 Mar 2020 Bin Liu, Chenxu Zhu, Guilin Li, Wei-Nan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu

By implementing a regularized optimizer over the architecture parameters, the model can automatically identify and remove the redundant feature interactions during the training process of the model.

Click-Through Rate Prediction Recommendation Systems

Deep Attention Fusion Feature for Speech Separation with End-to-End Post-filter Method

no code implementations17 Mar 2020 Cunhang Fan, Jian-Hua Tao, Bin Liu, Jiangyan Yi, Zhengqi Wen, Xuefei Liu

Secondly, to pay more attention to the outputs of the pre-separation stage, an attention module is applied to acquire deep attention fusion features, which are extracted by computing the similarity between the mixture and the pre-separated speech.

Deep Attention Speech Separation

Cross-modality Person re-identification with Shared-Specific Feature Transfer

no code implementations CVPR 2020 Yan Lu, Yue Wu, Bin Liu, Tianzhu Zhang, Baopu Li, Qi Chu, Nenghai Yu

In this paper, we tackle the above limitation by proposing a novel cross-modality shared-specific feature transfer algorithm (termed cm-SSFT) to explore the potential of both the modality-shared information and the modality-specific characteristics to boost the re-identification performance.

Cross-Modality Person Re-identification Person Re-Identification

Uncovering Insurance Fraud Conspiracy with Network Learning

no code implementations27 Feb 2020 Chen Liang, Ziqi Liu, Bin Liu, Jun Zhou, Xiaolong Li, Shuang Yang, Yuan Qi

In order to detect and prevent fraudulent insurance claims, we developed a novel data-driven procedure to identify groups of organized fraudsters, one of the major contributions to financial losses, by learning network information.

Fraud Detection Graph Learning

Concise and Effective Network for 3D Human Modeling from Orthogonal Silhouettes

1 code implementation25 Dec 2019 Bin Liu, Xiuping Liu, Zhi-Xin Yang, Charlie C. L. Wang

In this paper, we revisit the problem of 3D human modeling from two orthogonal silhouettes of individuals (i. e., front and side views).

GPRInvNet: Deep Learning-Based Ground Penetrating Radar Data Inversion for Tunnel Lining

no code implementations12 Dec 2019 Bin Liu, Yuxiao Ren, Hanchi Liu, Hui Xu, Zhengfang Wang, Anthony G. Cohn, Peng Jiang

The results have demonstrated that the GPRInvNet is capable of effectively reconstructing complex tunnel lining defects with clear boundaries.

GPR Time Series Analysis

Text classification with pixel embedding

no code implementations11 Nov 2019 Bin Liu, Guosheng Yin, Wenbin Du

The first two dimensions of the convolutional kernel size equal the size of the word image and the last dimension of the kernel size is $n$.

General Classification Sentence +2

Dynamic Ensemble Modeling Approach to Nonstationary Neural Decoding in Brain-Computer Interfaces

1 code implementation NeurIPS 2019 Yu Qi, Bin Liu, Yueming Wang, Gang Pan

Brain-computer interfaces (BCIs) have enabled prosthetic device control by decoding motor movements from neural activities.

Conversational Emotion Analysis via Attention Mechanisms

no code implementations24 Oct 2019 Zheng Lian, Jian-Hua Tao, Bin Liu, Jian Huang

Different from the emotion recognition in individual utterances, we propose a multimodal learning framework using relation and dependencies among the utterances for conversational emotion analysis.

Emotion Recognition

Domain adversarial learning for emotion recognition

no code implementations24 Oct 2019 Zheng Lian, Jian-Hua Tao, Bin Liu, Jian Huang

The secondary task is to learn a common representation where speaker identities can not be distinguished.

Emotion Recognition

Normal Estimation for 3D Point Clouds via Local Plane Constraint and Multi-scale Selection

no code implementations18 Oct 2019 Jun Zhou, Hua Huang, Bin Liu, Xiuping Liu

Then we use multi-task optimization to train the normal estimation and local plane classification tasks simultaneously. Also, to integrate the advantages of multi-scale results, a scale selection strategy is adopted, which is a data-driven approach for selecting the optimal scale around each point and encourages subnetwork specialization.

Sequential Learning for Dirichlet Process Mixtures

no code implementations pproximateinference AABI Symposium 2019 Chunlin Ji, Bin Liu, Yingkai Jiang, Ke Deng

We propose an evidence upper bound (EUBO) to act as the surrogate loss, and fit a DP mixture to the given data by minimizing the EUBO, which is equivalent to minimizing the KL-divergence between the target distribution and the DP mixture.

Variational Inference

Discriminative Learning for Monaural Speech Separation Using Deep Embedding Features

no code implementations23 Jul 2019 Cunhang Fan, Bin Liu, Jian-Hua Tao, Jiangyan Yi, Zhengqi Wen

Firstly, a DC network is trained to extract deep embedding features, which contain each source's information and have an advantage in discriminating each target speakers.

Clustering Deep Clustering +1

Synthetic Oversampling of Multi-Label Data based on Local Label Distribution

2 code implementations2 May 2019 Bin Liu, Grigorios Tsoumakas

Class-imbalance is an inherent characteristic of multi-label data which affects the prediction accuracy of most multi-label learning methods.

Multi-Label Learning

A Large Scale Urban Surveillance Video Dataset for Multiple-Object Tracking and Behavior Analysis

no code implementations26 Apr 2019 Guojun Yin, Bin Liu, Huihui Zhu, Tao Gong, Nenghai Yu

Multiple-object tracking and behavior analysis have been the essential parts of surveillance video analysis for public security and urban management.

Management Multiple Object Tracking +1

Deep Learning Inversion of Electrical Resistivity Data

no code implementations10 Apr 2019 Bin Liu, Qian Guo, Shucai Li, Benchao Liu, Yuxiao Ren, Yonghao Pang, Xu Guo, Lanbo Liu, Peng Jiang

According to the comprehensive qualitative analysis and quantitative comparison, ERSInvNet with tier feature map, smooth constraints, and depth weighting function together achieve the best performance.

Model Selection

Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction

6 code implementations9 Apr 2019 Bin Liu, Ruiming Tang, Yingzhi Chen, Jinkai Yu, Huifeng Guo, Yuzhou Zhang

Easy-to-use, Modular and Extendible package of deep-learning based CTR models. DeepFM, DeepInterestNetwork(DIN), DeepInterestEvolutionNetwork(DIEN), DeepCrossNetwork(DCN), AttentionalFactorizationMachine(AFM), Neural Factorization Machine(NFM), AutoInt, Deep Session Interest Network(DSIN)

Click-Through Rate Prediction Recommendation Systems

Context and Attribute Grounded Dense Captioning

no code implementations CVPR 2019 Guojun Yin, Lu Sheng, Bin Liu, Nenghai Yu, Xiaogang Wang, Jing Shao

Dense captioning aims at simultaneously localizing semantic regions and describing these regions-of-interest (ROIs) with short phrases or sentences in natural language.

Attribute Dense Captioning

Harnessing Low-Fidelity Data to Accelerate Bayesian Optimization via Posterior Regularization

no code implementations11 Feb 2019 Bin Liu

Bayesian optimization (BO) is a powerful paradigm for derivative-free global optimization of a black-box objective function (BOF) that is expensive to evaluate.

Bayesian Optimization

Deep Triplet Quantization

1 code implementation1 Feb 2019 Bin Liu, Yue Cao, Mingsheng Long, Jian-Min Wang, Jingdong Wang

We propose Deep Triplet Quantization (DTQ), a novel approach to learning deep quantization models from the similarity triplets.

Deep Hashing Image Retrieval +1

Deep-Learning Inversion of Seismic Data

no code implementations23 Jan 2019 Shucai Li, Bin Liu, Yuxiao Ren, Yangkang Chen, Senlin Yang, Yunhai Wang, Peng Jiang

We propose a new method to tackle the mapping challenge from time-series data to spatial image in the field of seismic exploration, i. e., reconstructing the velocity model directly from seismic data by deep neural networks (DNNs).

Seismic Inversion Time Series Analysis

Deep Metric Transfer for Label Propagation with Limited Annotated Data

1 code implementation20 Dec 2018 Bin Liu, Zhirong Wu, Han Hu, Stephen Lin

In this paper, we propose a generic framework that utilizes unlabeled data to aid generalization for all three tasks.

Metric Learning Object Recognition +1

Real-Time Anomaly Detection With HMOF Feature

no code implementations12 Dec 2018 Huihui Zhu, Bin Liu, Guojun Yin, Yan Lu, Weihai Li, Nenghai Yu

Most existing methods are computation consuming, which cannot satisfy the real-time requirement.

Anomaly Detection Clustering +1

What and Where: A Context-based Recommendation System for Object Insertion

no code implementations24 Nov 2018 Song-Hai Zhang, Zhengping Zhou, Bin Liu, Xin Dong, Dun Liang, Peter Hall, Shi-Min Hu

In this work, we propose a novel topic consisting of two dual tasks: 1) given a scene, recommend objects to insert, 2) given an object category, retrieve suitable background scenes.


A Very Brief and Critical Discussion on AutoML

no code implementations9 Nov 2018 Bin Liu

This contribution presents a very brief and critical discussion on automated machine learning (AutoML), which is categorized here into two classes, referred to as narrow AutoML and generalized AutoML, respectively.


Cross-Modal Hamming Hashing

no code implementations ECCV 2018 Yue Cao , Bin Liu, Mingsheng Long, Jian-Min Wang

Extensive experiments demonstrate that CMHH can generate highly concentrated hash codes and achieve state-of-the-art cross-modal retrieval performance for both hash lookups and linear scan scenarios on three benchmark datasets, NUS-WIDE, MIRFlickr-25K, and IAPR TC-12.

Cross-Modal Retrieval Retrieval

A Particle Filter based Multi-Objective Optimization Algorithm: PFOPS

no code implementations28 Aug 2018 Bin Liu, Yaochu Jin

To this end, we make an effort to extend the scope of application of the PFO paradigm to multi-objective optimization (MOO) cases.

Particle Filtering Methods for Stochastic Optimization with Application to Large-Scale Empirical Risk Minimization

no code implementations23 Jul 2018 Bin Liu

There is a recent interest in developing statistical filtering methods for stochastic optimization (FSO) by leveraging a probabilistic perspective of incremental proximity methods (IPMs).

Binary Classification Scheduling +1

Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition

no code implementations ECCV 2018 Guojun Yin, Lu Sheng, Bin Liu, Nenghai Yu, Xiaogang Wang, Jing Shao, Chen Change Loy

We show that by encouraging deep message propagation and interactions between local object features and global predicate features, one can achieve compelling performance in recognizing complex relationships without using any linguistic priors.


HashGAN: Deep Learning to Hash With Pair Conditional Wasserstein GAN

no code implementations CVPR 2018 Yue Cao, Bin Liu, Mingsheng Long, Jian-Min Wang

The main idea is to augment the training data with nearly real images synthesized from a new Pair Conditional Wasserstein GAN (PC-WGAN) conditioned on the pairwise similarity information.

Image Retrieval Representation Learning +1

Deep Cauchy Hashing for Hamming Space Retrieval

no code implementations CVPR 2018 Yue Cao, Mingsheng Long, Bin Liu, Jian-Min Wang

Due to its computation efficiency and retrieval quality, hashing has been widely applied to approximate nearest neighbor search for large-scale image retrieval, while deep hashing further improves the retrieval quality by end-to-end representation learning and hash coding.

Deep Hashing Image Retrieval +1

Boosting Noise Robustness of Acoustic Model via Deep Adversarial Training

no code implementations2 May 2018 Bin Liu, Shuai Nie, Yaping Zhang, Dengfeng Ke, Shan Liang, Wenju Liu1

In realistic environments, speech is usually interfered by various noise and reverberation, which dramatically degrades the performance of automatic speech recognition (ASR) systems.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Simultaneous Modeling of Multiple Complications for Risk Profiling in Diabetes Care

no code implementations19 Feb 2018 Bin Liu, Ying Li, Soumya Ghosh, Zhaonan Sun, Kenney Ng, Jianying Hu

The proposed method is favorable for healthcare applications because in additional to improved prediction performance, relationships among the different risks and risk factors are also identified.

Multi-Task Learning

Two Birds with One Stone: Transforming and Generating Facial Images with Iterative GAN

no code implementations16 Nov 2017 Dan Ma, Bin Liu, Zhao Kang, Jiayu Zhou, Jianke Zhu, Zenglin Xu

Generating high fidelity identity-preserving faces with different facial attributes has a wide range of applications.

Image Generation

Maximum Likelihood Estimation based on Random Subspace EDA: Application to Extrasolar Planet Detection

no code implementations18 Apr 2017 Bin Liu, Ke-Jia Chen

A population based searching method, called estimation of distribution algorithm (EDA), is adopted to explore the model parameter space starting from a batch of random locations.

Tensor Decomposition via Variational Auto-Encoder

no code implementations3 Nov 2016 Bin Liu, Zenglin Xu, Yingming Li

Another assumption of these methods is that a predefined rank should be known.

Tensor Decomposition

Student's t Distribution based Estimation of Distribution Algorithms for Derivative-free Global Optimization

no code implementations12 Aug 2016 Bin Liu, Shi Cheng, Yuhui Shi

Observing that the Student's t distribution has heavier and longer tails than the Gaussian, which may be beneficial for exploring the solution space, we propose a novel EDA algorithm termed ESTDA, in which the Student's t distribution, rather than Gaussian, is employed.

Evolutionary Algorithms

Vision-based Traffic Flow Prediction using Dynamic Texture Model and Gaussian Process

no code implementations14 Jul 2016 Bin Liu, Hao Ji, Yi Dai

The proposed method consists of three elemental operators, that are dynamic texture model based motion segmentation, feature extraction and Gaussian process (GP) regression.

Motion Segmentation regression +1

Ternary Weight Networks

5 code implementations16 May 2016 Fengfu Li, Bin Liu, Xiaoxing Wang, Bo Zhang, Junchi Yan

We present a memory and computation efficient ternary weight networks (TWNs) - with weights constrained to +1, 0 and -1.

Model Compression object-detection +1

Robust video object tracking via Bayesian model averaging based feature fusion

no code implementations2 Apr 2016 Yi Dai, Bin Liu

In this article, we are concerned with tracking an object of interest in video stream.

Object Video Object Tracking

Robust video object tracking using particle filter with likelihood based feature fusion and adaptive template updating

no code implementations28 Sep 2015 Yi Dai, Bin Liu

In this solution, the bootstrap particle filter (PF) is initialized by an object detector, which models the time-evolving background of the video signal by an adaptive Gaussian mixture.

Object Video Object Tracking

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