Search Results for author: Hui Wang

Found 161 papers, 50 papers with code

SecFwT: Efficient Privacy-Preserving Fine-Tuning of Large Language Models Using Forward-Only Passes

no code implementations18 Jun 2025 Jinglong Luo, Zhuo Zhang, Yehong Zhang, Shiyu Liu, Ye Dong, Xun Zhou, Hui Wang, Yue Yu, Zenglin Xu

Large language models (LLMs) have transformed numerous fields, yet their adaptation to specialized tasks in privacy-sensitive domains, such as healthcare and finance, is constrained by the scarcity of accessible training data due to stringent privacy requirements.

Privacy Preserving

StreamMel: Real-Time Zero-shot Text-to-Speech via Interleaved Continuous Autoregressive Modeling

no code implementations14 Jun 2025 Hui Wang, Yifan Yang, Shujie Liu, Jinyu Li, Lingwei Meng, Yanqing Liu, Jiaming Zhou, Haoqin Sun, Yan Lu, Yong Qin

Recent advances in zero-shot text-to-speech (TTS) synthesis have achieved high-quality speech generation for unseen speakers, but most systems remain unsuitable for real-time applications because of their offline design.

text-to-speech Text to Speech

OmniDRCA: Parallel Speech-Text Foundation Model via Dual-Resolution Speech Representations and Contrastive Alignment

1 code implementation11 Jun 2025 Chao-Hong Tan, Qian Chen, Wen Wang, Chong Deng, Qinglin Zhang, Luyao Cheng, Hai Yu, Xin Zhang, Xiang Lv, Tianyu Zhao, Chong Zhang, Yukun Ma, Yafeng Chen, Hui Wang, Jiaqing Liu, Jieping Ye

This paper presents OmniDRCA, a parallel speech-text foundation model based on joint autoregressive modeling, featuring dual-resolution speech representations and contrastive cross-modal alignment.

cross-modal alignment Question Answering +2

STELLA: Towards Protein Function Prediction with Multimodal LLMs Integrating Sequence-Structure Representations

no code implementations4 Jun 2025 Hongwang Xiao, Wenjun Lin, Xi Chen, Hui Wang, Kai Chen, Jiashan Li, Yuancheng Sun, Sicheng Dai, Boya Wu, Qiwei Ye

Since protein sequences determine tertiary structures, which in turn govern functions, integrating sequence and structure information is essential for accurate prediction of protein functions.

Drug Discovery General Knowledge +2

A survey of using EHR as real-world evidence for discovering and validating new drug indications

no code implementations30 May 2025 Nabasmita Talukdar, Xiaodan Zhang, Shreya Paithankar, Hui Wang, Bin Chen

Electronic Health Records (EHRs) have been increasingly used as real-world evidence (RWE) to support the discovery and validation of new drug indications.

TC-GS: A Faster Gaussian Splatting Module Utilizing Tensor Cores

1 code implementation30 May 2025 Zimu Liao, Jifeng Ding, Rong Fu, Siwei Cui, Ruixuan Gong, Li Wang, Boni Hu, Yi Wang, Hengjie Li, Xingcheng Zhang, Hui Wang

3D Gaussian Splatting (3DGS) renders pixels by rasterizing Gaussian primitives, where conditional alpha-blending dominates the time cost in the rendering pipeline.

3DGS

From Large to Super-Tiny: End-to-End Optimization for Cost-Efficient LLMs

no code implementations18 Apr 2025 Jiliang Ni, Jiachen Pu, Zhongyi Yang, Kun Zhou, Hui Wang, Xiaoliang Xiao, Dakui Wang, Xin Li, Jingfeng Luo, Conggang Hu

In this paper, we introduce a three-stage cost-efficient end-to-end LLM deployment pipeline, comprising prototyping, knowledge transfer, and model compression, to effectively tackle the cost-performance dilemma in LLM-based frameworks.

Knowledge Distillation Model Compression +2

LightFormer: A lightweight and efficient decoder for remote sensing image segmentation

no code implementations15 Apr 2025 Sihang Chen, Lijun Yun, Ze Liu, Jianfeng Zhu, Jie Chen, Hui Wang, Yueping Nie

Deep learning techniques have achieved remarkable success in the semantic segmentation of remote sensing images and in land-use change detection.

Change Detection Decoder +2

LLM-Gomoku: A Large Language Model-Based System for Strategic Gomoku with Self-Play and Reinforcement Learning

no code implementations27 Mar 2025 Hui Wang

This study aims to develop a Gomoku AI system based on LLMs, simulating the human learning process of playing chess.

Decision Making Language Modeling +2

Deep Learning-Based Quantitative Assessment of Renal Chronicity Indices in Lupus Nephritis

no code implementations26 Mar 2025 Tianqi Tu, Hui Wang, Jiangbo Pei, Xiaojuan Yu, Aidong Men, Suxia Wang, Qingchao Chen, Ying Tan, Feng Yu, Minghui Zhao

Additionally, the DL pipeline enhanced prognostic accuracy, particularly in outcome prediction, when combined with clinical parameters and pathologist-assessed CIs Conclusions: The DL pipeline demonstrated accuracy and efficiency in assessing CI in LN, showing promise in improving interobserver agreement among pathologists.

RoCA: Robust Contrastive One-class Time Series Anomaly Detection with Contaminated Data

1 code implementation24 Mar 2025 Xudong Mou, Rui Wang, Bo Li, Tianyu Wo, Jie Sun, Hui Wang, Xudong Liu

It fuses the separated assumptions of one-class classification and contrastive learning in a single training process to characterize a more complete so-called normality.

Contrastive Learning One-Class Classification +2

SeniorTalk: A Chinese Conversation Dataset with Rich Annotations for Super-Aged Seniors

no code implementations20 Mar 2025 Yang Chen, Hui Wang, Shiyao Wang, Junyang Chen, Jiabei He, Jiaming Zhou, Xi Yang, Yequan Wang, Yonghua Lin, Yong Qin

While voice technologies increasingly serve aging populations, current systems exhibit significant performance gaps due to inadequate training data capturing elderly-specific vocal characteristics like presbyphonia and dialectal variations.

speaker-diarization Speaker Diarization +3

MA-GTS: A Multi-Agent Framework for Solving Complex Graph Problems in Real-World Applications

1 code implementation25 Feb 2025 Zike Yuan, Ming Liu, Hui Wang, Bing Qin

To address these challenges, we propose MA-GTS (Multi-Agent Graph Theory Solver), a multi-agent framework that decomposes these complex problems through agent collaboration.

NVR: Vector Runahead on NPUs for Sparse Memory Access

no code implementations19 Feb 2025 Hui Wang, Zhengpeng Zhao, Jing Wang, Yushu Du, Yuan Cheng, Bing Guo, He Xiao, Chenhao Ma, Xiaomeng Han, Dean You, Jiapeng Guan, Ran Wei, Dawei Yang, Zhe Jiang

In this paper, we present NPU Vector Runahead (NVR), a prefetching mechanism tailored for NPUs to address cache miss problems in sparse DNN workloads.

SpeHeatal: A Cluster-Enhanced Segmentation Method for Sperm Morphology Analysis

1 code implementation18 Feb 2025 Yi Shi, Yunkai Wang, Xupeng Tian, Tieyi Zhang, Bing Yao, Hui Wang, Yong Shao, Cencen Wang, Rong Zeng

The accurate assessment of sperm morphology is crucial in andrological diagnostics, where the segmentation of sperm images presents significant challenges.

Segmentation

One for All: A General Framework of LLMs-based Multi-Criteria Decision Making on Human Expert Level

no code implementations17 Feb 2025 Hui Wang, Fafa Zhang, Chaoxu Mu

The experimental results show that the accuracy rates for different applications improve significantly to around 95\%, and the performance difference is trivial between different models, indicating that LoRA-based fine-tuned LLMs exhibit significant and stable advantages in addressing MCDM tasks and can provide human-expert-level solutions to a wide range of MCDM challenges.

All Decision Making

TSS GAZ PTP: Towards Improving Gumbel AlphaZero with Two-stage Self-play for Multi-constrained Electric Vehicle Routing Problems

no code implementations17 Feb 2025 Hui Wang, Xufeng Zhang, XiaoYu Zhang, Zhenhuan Ding, Chaoxu Mu

Recently, Gumbel AlphaZero~(GAZ) was proposed to solve classic combinatorial optimization problems such as TSP and JSSP by creating a carefully designed competition model~(consisting of a learning player and a competitor player), which leverages the idea of self-play.

Combinatorial Optimization Deep Reinforcement Learning

FELLE: Autoregressive Speech Synthesis with Token-Wise Coarse-to-Fine Flow Matching

no code implementations16 Feb 2025 Hui Wang, Shujie Liu, Lingwei Meng, Jinyu Li, Yifan Yang, Shiwan Zhao, Haiyang Sun, Yanqing Liu, Haoqin Sun, Jiaming Zhou, Yan Lu, Yong Qin

To advance continuous-valued token modeling and temporal-coherence enforcement, we propose FELLE, an autoregressive model that integrates language modeling with token-wise flow matching.

Language Modeling Language Modelling +1

Pushing the Limits of BFP on Narrow Precision LLM Inference

no code implementations21 Jan 2025 Hui Wang, Yuan Cheng, Xiaomeng Han, Zhengpeng Zhao, Dawei Yang, Zhe Jiang

The substantial computational and memory demands of Large Language Models (LLMs) hinder their deployment.

Leveraging Chain of Thought towards Empathetic Spoken Dialogue without Corresponding Question-Answering Data

no code implementations19 Jan 2025 Jingran Xie, Shun Lei, Yue Yu, Yang Xiang, Hui Wang, Xixin Wu, Zhiyong Wu

Empathetic dialogue is crucial for natural human-computer interaction, allowing the dialogue system to respond in a more personalized and emotionally aware manner, improving user satisfaction and engagement.

Dialogue Generation Question Answering

Planarian Neural Networks: Evolutionary Patterns from Basic Bilateria Shaping Modern Artificial Neural Network Architectures

no code implementations8 Jan 2025 Ziyuan Huang, Mark Newman, Maria Vaida, Srikar Bellur, Roozbeh Sadeghian, Andrew Siu, Hui Wang, Kevin Huggins

This study examined the viability of enhancing the prediction accuracy of artificial neural networks (ANNs) in image classification tasks by developing ANNs with evolution patterns similar to those of biological neural networks.

image-classification Image Classification

Improving the Training of Data-Efficient GANs via Quality Aware Dynamic Discriminator Rejection Sampling

1 code implementation CVPR 2025 Zhaoyu Zhang, Yang Hua, Guanxiong Sun, Hui Wang, Seán McLoone

Specifically, QADDRS consists of two steps: (1) the sample quality aware step, which aims to obtain the sorted critic scores, i. e., the ordered discriminator outputs, on real/fake samples in the current training stage; (2) the dynamic rejection step that obtains dynamic rejection number N, where N is controlled by the overfitting degree of discriminator (D) during training.

Data Augmentation

Enhancing Multimodal Emotion Recognition through Multi-Granularity Cross-Modal Alignment

no code implementations30 Dec 2024 Xuechen Wang, Shiwan Zhao, Haoqin Sun, Hui Wang, Jiaming Zhou, Yong Qin

Multimodal emotion recognition (MER), leveraging speech and text, has emerged as a pivotal domain within human-computer interaction, demanding sophisticated methods for effective multimodal integration.

cross-modal alignment Multimodal Emotion Recognition

Ensuring Consistency for In-Image Translation

no code implementations24 Dec 2024 Chengpeng Fu, Xiaocheng Feng, Yichong Huang, Wenshuai Huo, Baohang Li, Zhirui Zhang, Yunfei Lu, Dandan Tu, Duyu Tang, Hui Wang, Bing Qin, Ting Liu

Subsequently, a diffusion model trained for style-consistent text-image generation ensures uniformity in text style within images and preserves background details.

Image Generation Large Language Model +2

Correcting Large Language Model Behavior via Influence Function

no code implementations21 Dec 2024 Han Zhang, Zhuo Zhang, Yi Zhang, Yuanzhao Zhai, Hanyang Peng, Yu Lei, Yue Yu, Hui Wang, Bin Liang, Lin Gui, Ruifeng Xu

Recent advancements in AI alignment techniques have significantly improved the alignment of large language models (LLMs) with static human preferences.

Language Modeling Language Modelling +2

Split Knowledge Distillation for Large Models in IoT: Architecture, Challenges, and Solutions

no code implementations17 Dec 2024 Zuguang Li, Wen Wu, Shaohua Wu, Qiaohua Lin, Yaping Sun, Hui Wang

Large models (LMs) have immense potential in Internet of Things (IoT) systems, enabling applications such as intelligent voice assistants, predictive maintenance, and healthcare monitoring.

Knowledge Distillation Management

CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference

no code implementations14 Dec 2024 Jinglong Luo, Guanzhong Chen, Yehong Zhang, Shiyu Liu, Hui Wang, Yue Yu, Xun Zhou, Yuan Qi, Zenglin Xu

With the growing deployment of pre-trained models like Transformers on cloud platforms, privacy concerns about model parameters and inference data are intensifying.

Privacy Preserving

CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models

1 code implementation13 Dec 2024 Zhihao Du, Yuxuan Wang, Qian Chen, Xian Shi, Xiang Lv, Tianyu Zhao, Zhifu Gao, Yexin Yang, Changfeng Gao, Hui Wang, Fan Yu, Huadai Liu, Zhengyan Sheng, Yue Gu, Chong Deng, Wen Wang, Shiliang Zhang, Zhijie Yan, Jingren Zhou

By training on a large-scale multilingual dataset, CosyVoice 2 achieves human-parity naturalness, minimal response latency, and virtually lossless synthesis quality in the streaming mode.

In-Context Learning Quantization +1

Addressing bias in Recommender Systems: A Case Study on Data Debiasing Techniques in Mobile Games

no code implementations27 Nov 2024 Yixiong Wang, Maria Paskevich, Hui Wang

This case study aims to identify and categorize potential bias within datasets specific to model-based recommendations in mobile games, review debiasing techniques in the existing literature, and assess their effectiveness on real-world data gathered through implicit feedback.

Recommendation Systems

Transcending Language Boundaries: Harnessing LLMs for Low-Resource Language Translation

no code implementations18 Nov 2024 Peng Shu, JunHao Chen, Zhengliang Liu, Hui Wang, Zihao Wu, Tianyang Zhong, Yiwei Li, Huaqin Zhao, Hanqi Jiang, Yi Pan, Yifan Zhou, Constance Owl, Xiaoming Zhai, Ninghao Liu, Claudio Saunt, Tianming Liu

Our comparison with the zero-shot performance of GPT-4o and LLaMA 3. 1 405B, highlights the significant challenges these models face when translating into low-resource languages.

Retrieval Translation

Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent

1 code implementation5 Nov 2024 Yangning Li, Yinghui Li, Xinyu Wang, Yong Jiang, Zhen Zhang, Xinran Zheng, Hui Wang, Hai-Tao Zheng, Pengjun Xie, Philip S. Yu, Fei Huang, Jingren Zhou

To bridge the dataset gap, we first construct Dyn-VQA dataset, consisting of three types of "dynamic" questions, which require complex knowledge retrieval strategies variable in query, tool, and time: (1) Questions with rapidly changing answers.

Benchmarking Hallucination +4

Innovative Thinking, Infinite Humor: Humor Research of Large Language Models through Structured Thought Leaps

no code implementations14 Oct 2024 Han Wang, Yilin Zhao, Dian Li, Xiaohan Wang, Gang Liu, Xuguang Lan, Hui Wang

Humor is a culturally nuanced aspect of human language that presents challenges for understanding and generation, requiring participants to possess good creativity and strong associative thinking.

Math

A Systematic Assessment of OpenAI o1-Preview for Higher Order Thinking in Education

no code implementations11 Oct 2024 Ehsan Latif, Yifan Zhou, Shuchen Guo, Yizhu Gao, Lehong Shi, Matthew Nayaaba, Gyeonggeon Lee, Liang Zhang, Arne Bewersdorff, Luyang Fang, Xiantong Yang, Huaqin Zhao, Hanqi Jiang, Haoran Lu, Jiaxi Li, Jichao Yu, Weihang You, Zhengliang Liu, Vincent Shung Liu, Hui Wang, Zihao Wu, Jin Lu, Fei Dou, Ping Ma, Ninghao Liu, Tianming Liu, Xiaoming Zhai

This study evaluates OpenAI o1-preview's ability to perform higher-order cognitive tasks across 14 dimensions, including critical thinking, systems thinking, computational thinking, design thinking, metacognition, data literacy, creative thinking, abstract reasoning, quantitative reasoning, logical reasoning, analogical reasoning, and scientific reasoning.

Logical Reasoning

Chip-Tuning: Classify Before Language Models Say

1 code implementation9 Oct 2024 Fangwei Zhu, Dian Li, Jiajun Huang, Gang Liu, Hui Wang, Zhifang Sui

After selecting a chip for classification, all layers subsequent to the attached layer could be removed with marginal performance loss.

IRSC: A Zero-shot Evaluation Benchmark for Information Retrieval through Semantic Comprehension in Retrieval-Augmented Generation Scenarios

no code implementations24 Sep 2024 Hai Lin, Shaoxiong Zhan, Junyou Su, Haitao Zheng, Hui Wang

In Retrieval-Augmented Generation (RAG) tasks using Large Language Models (LLMs), the quality of retrieved information is critical to the final output.

Information Retrieval RAG +2

Trustworthy Hate Speech Detection Through Visual Augmentation

no code implementations20 Sep 2024 Ziyuan Yang, Ming Yan, Yingyu Chen, Hui Wang, Zexin Lu, Yi Zhang

The surge of hate speech on social media platforms poses a significant challenge, with hate speech detection~(HSD) becoming increasingly critical.

Hate Speech Detection

Video-CCAM: Enhancing Video-Language Understanding with Causal Cross-Attention Masks for Short and Long Videos

1 code implementation26 Aug 2024 Jiajun Fei, Dian Li, Zhidong Deng, Zekun Wang, Gang Liu, Hui Wang

To address these limitations, we apply cross-attention layers in the intermediate projector between the visual encoder and the large language model (LLM).

Large Language Model MVBench +1

Uncertainty-Aware Mean Opinion Score Prediction

no code implementations23 Aug 2024 Hui Wang, Shiwan Zhao, Jiaming Zhou, Xiguang Zheng, Haoqin Sun, Xuechen Wang, Yong Qin

Mean Opinion Score (MOS) prediction has made significant progress in specific domains.

Prediction

Dynamics of Meta-learning Representation in the Teacher-student Scenario

no code implementations22 Aug 2024 Hui Wang, Cho Tung Yip, Bo Li

Gradient-based meta-learning algorithms have gained popularity for their ability to train models on new tasks using limited data.

Meta-Learning

Blind Image Deconvolution by Generative-based Kernel Prior and Initializer via Latent Encoding

1 code implementation20 Jul 2024 Jiangtao Zhang, Zongsheng Yue, Hui Wang, Qian Zhao, Deyu Meng

To alleviate this issue and further improve their performance, we propose a new framework for BID that better considers the prior modeling and the initialization for blur kernels, leveraging a deep generative model.

Generative Adversarial Network Image Deconvolution

MetaTool: Facilitating Large Language Models to Master Tools with Meta-task Augmentation

no code implementations15 Jul 2024 Xiaohan Wang, Dian Li, Yilin Zhao, Sinbadliu, Hui Wang

Training on solution paths is also hindered by the high cost of expert annotations and generalizing to new tools.

Data Augmentation

CS3: Cascade SAM for Sperm Segmentation

1 code implementation4 Jul 2024 Yi Shi, Xu-Peng Tian, Yun-Kai Wang, Tie-Yi Zhang, Bin Yao, Hui Wang, Yong Shao, Cen-Cen Wang, Rong Zeng, De-Chuan Zhan

Automated sperm morphology analysis plays a crucial role in the assessment of male fertility, yet its efficacy is often compromised by the challenges in accurately segmenting sperm images.

The geographic flow of bank funding and access to credit: Branch networks, local synergies and competition

no code implementations3 Jul 2024 Victor Aguirregabiria, Robert Clark, Hui Wang

Geographic dispersion of depositors, borrowers, and banks may prevent funding from flowing to high loan demand areas, limiting credit access.

counterfactual

GraCoRe: Benchmarking Graph Comprehension and Complex Reasoning in Large Language Models

1 code implementation3 Jul 2024 Zike Yuan, Ming Liu, Hui Wang, Bing Qin

Evaluating the graph comprehension and reasoning abilities of Large Language Models (LLMs) is challenging and often incomplete.

Benchmarking

Self-Distillation Prototypes Network: Learning Robust Speaker Representations without Supervision

2 code implementations17 Jun 2024 Yafeng Chen, Siqi Zheng, Hui Wang, Luyao Cheng, Qian Chen, Shiliang Zhang, Wen Wang

SDPN assigns the representation of the augmented views of an utterance to the same prototypes as the representation of the original view, thereby enabling effective knowledge transfer between the views.

Diversity Representation Learning +2

Hacking Encrypted Wireless Power: Cyber-Security of Dynamic Charging

no code implementations17 Jun 2024 Hui Wang, Nima Tashakor, Wei Jiang, Wei Liu, C. Q. Jiang, Stefan M. Goetz

To stimulate the progress of energy encryption technology and point out security holes, this paper proposes a decryption method for the fundamental principle of encrypted frequency-varying wireless power transfer.

LAFMA: A Latent Flow Matching Model for Text-to-Audio Generation

1 code implementation12 Jun 2024 Wenhao Guan, Kaidi Wang, Wangjin Zhou, Yang Wang, Feng Deng, Hui Wang, Lin Li, Qingyang Hong, Yong Qin

And the effectiveness of the method is accompanied by the extensive number of sampling steps, leading to an extended synthesis time necessary for generating high-quality audio.

Audio Generation

Improving Zero-Shot Chinese-English Code-Switching ASR with kNN-CTC and Gated Monolingual Datastores

no code implementations6 Jun 2024 Jiaming Zhou, Shiwan Zhao, Hui Wang, Tian-Hao Zhang, Haoqin Sun, Xuechen Wang, Yong Qin

To address this, we propose a novel kNN-CTC-based code-switching ASR (CS-ASR) framework that employs dual monolingual datastores and a gated datastore selection mechanism to reduce noise interference.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

Deep Reinforcement Learning for 5*5 Multiplayer Go

no code implementations23 May 2024 Brahim Driss, Jérôme Arjonilla, Hui Wang, Abdallah Saffidine, Tristan Cazenave

In recent years, much progress has been made in computer Go and most of the results have been obtained thanks to search algorithms (Monte Carlo Tree Search) and Deep Reinforcement Learning (DRL).

Deep Reinforcement Learning Game of Go +1

A label-free and data-free training strategy for vasculature segmentation in serial sectioning OCT data

no code implementations22 May 2024 Etienne Chollet, Yael Balbastre, Caroline Magnain, Bruce Fischl, Hui Wang

Serial sectioning Optical Coherence Tomography (sOCT) is a high-throughput, label free microscopic imaging technique that is becoming increasingly popular to study post-mortem neurovasculature.

Segmentation

Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration

1 code implementation19 Apr 2024 Yichong Huang, Xiaocheng Feng, Baohang Li, Yang Xiang, Hui Wang, Bing Qin, Ting Liu

To address this challenge, DeePEn maps the probability distribution of each model from its own probability space to a universal relative space based on the relative representation theory, and performs aggregation.

Ensemble Learning

UltraWiki: Ultra-fine-grained Entity Set Expansion with Negative Seed Entities

1 code implementation7 Mar 2024 Yangning Li, Qingsong Lv, Tianyu Yu, Yinghui Li, Shulin Huang, Tingwei Lu, Xuming Hu, Wenhao Jiang, Hai-Tao Zheng, Hui Wang

To solve this issue, we first introduce negative seed entities in the inputs, which belong to the same fine-grained semantic class as the positive seed entities but differ in certain attributes.

Attribute Contrastive Learning +1

Mitigating Biases of Large Language Models in Stance Detection with Counterfactual Augmented Calibration

1 code implementation22 Feb 2024 Ang Li, Jingqian Zhao, Bin Liang, Lin Gui, Hui Wang, Xi Zeng, Xingwei Liang, Kam-Fai Wong, Ruifeng Xu

Therefore, in this paper, we propose a Counterfactual Augmented Calibration Network (FACTUAL), which a novel calibration network is devised to calibrate potential bias in the stance prediction of LLMs.

counterfactual Domain Generalization +1

COPR: Continual Human Preference Learning via Optimal Policy Regularization

no code implementations22 Feb 2024 Han Zhang, Lin Gui, Yu Lei, Yuanzhao Zhai, Yehong Zhang, Yulan He, Hui Wang, Yue Yu, Kam-Fai Wong, Bin Liang, Ruifeng Xu

Reinforcement Learning from Human Feedback (RLHF) is commonly utilized to improve the alignment of Large Language Models (LLMs) with human preferences.

Continual Learning

Small Object Detection by DETR via Information Augmentation and Adaptive Feature Fusion

no code implementations16 Jan 2024 Ji Huang, Hui Wang

This allows the model to adaptively fuse feature maps from different levels and effectively integrate feature information from different scales.

Object object-detection +2

CPPO: Continual Learning for Reinforcement Learning with Human Feedback

no code implementations Conference 2024 Han Zhang, Yu Lei, Lin Gui, Min Yang, Yulan He, Hui Wang, Ruifeng Xu

The approach of Reinforcement Learning from Human Feedback (RLHF) is widely used for enhancing pre-trained Language Models (LM), enabling them to better align with human preferences.

Continual Learning reinforcement-learning +1

Training and Serving System of Foundation Models: A Comprehensive Survey

no code implementations5 Jan 2024 Jiahang Zhou, Yanyu Chen, Zicong Hong, Wuhui Chen, Yue Yu, Tao Zhang, Hui Wang, Chuanfu Zhang, Zibin Zheng

Additionally, the paper summarizes the challenges and presents a perspective on the future development direction of foundation model systems.

Survey

SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC

1 code implementation1 Jan 2024 Jinglong Luo, Yehong Zhang, Zhuo Zhang, JiaQi Zhang, Xin Mu, Hui Wang, Yue Yu, Zenglin Xu

With the growing use of Transformer models hosted on cloud platforms to offer inference services, privacy concerns are escalating, especially concerning sensitive data like investment plans and bank account details.

Knowledge Distillation Privacy Preserving

Image Super-resolution Reconstruction Network based on Enhanced Swin Transformer via Alternating Aggregation of Local-Global Features

no code implementations30 Dec 2023 Yuming Huang, Yingpin Chen, Changhui Wu, Hanrong Xie, Binhui Song, Hui Wang

In the local feature aggregation stage, we introduce a shift convolution to realize the interaction between local spatial information and channel information.

Image Super-Resolution

EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection

no code implementations19 Dec 2023 Xin Mu, Yu Wang, Zhengan Huang, Junzuo Lai, Yehong Zhang, Hui Wang, Yue Yu

In the rapidly growing digital economy, protecting intellectual property (IP) associated with digital products has become increasingly important.

Multimodality of AI for Education: Towards Artificial General Intelligence

no code implementations10 Dec 2023 Gyeong-Geon Lee, Lehong Shi, Ehsan Latif, Yizhu Gao, Arne Bewersdorff, Matthew Nyaaba, Shuchen Guo, Zihao Wu, Zhengliang Liu, Hui Wang, Gengchen Mai, Tiaming Liu, Xiaoming Zhai

This paper presents a comprehensive examination of how multimodal artificial intelligence (AI) approaches are paving the way towards the realization of Artificial General Intelligence (AGI) in educational contexts.

Generative AI in Higher Education: Seeing ChatGPT Through Universities' Policies, Resources, and Guidelines

no code implementations8 Dec 2023 Hui Wang, Anh Dang, Zihao Wu, Son Mac

In order to respond to higher educators' needs, this study aims to explore how universities and educators respond and adapt to the development of GenAI in their academic contexts by analyzing academic policies and guidelines established by top-ranked U. S. universities regarding the use of GenAI, especially ChatGPT.

Articles

COPR: Continual Learning Human Preference through Optimal Policy Regularization

no code implementations24 Oct 2023 Han Zhang, Lin Gui, Yuanzhao Zhai, Hui Wang, Yu Lei, Ruifeng Xu

The technique of Reinforcement Learning from Human Feedback (RLHF) is a commonly employed method to improve pre-trained Language Models (LM), enhancing their ability to conform to human preferences.

Continual Learning reinforcement-learning +1

SHAPE: A Sample-adaptive Hierarchical Prediction Network for Medication Recommendation

1 code implementation9 Sep 2023 Sicen Liu, Xiaolong Wang, Jingcheng Du, Yongshuai Hou, Xianbing Zhao, Hui Xu, Hui Wang, Yang Xiang, Buzhou Tang

Effectively medication recommendation with complex multimorbidity conditions is a critical task in healthcare.

RAMP: Retrieval-Augmented MOS Prediction via Confidence-based Dynamic Weighting

no code implementations31 Aug 2023 Hui Wang, Shiwan Zhao, Xiguang Zheng, Yong Qin

Automatic Mean Opinion Score (MOS) prediction is crucial to evaluate the perceptual quality of the synthetic speech.

Decoder Retrieval +1

Intelligence-Endogenous Management Platform for Computing and Network Convergence

no code implementations7 Aug 2023 Zicong Hong, Xiaoyu Qiu, Jian Lin, Wuhui Chen, Yue Yu, Hui Wang, Song Guo, Wen Gao

Therefore, in this article, we present the concept of an intelligence-endogenous management platform for CNCs called \emph{CNC brain} based on artificial intelligence technologies.

Deep Reinforcement Learning Management +1

Model Provenance via Model DNA

no code implementations4 Aug 2023 Xin Mu, Yu Wang, Yehong Zhang, JiaQi Zhang, Hui Wang, Yang Xiang, Yue Yu

Understanding the life cycle of the machine learning (ML) model is an intriguing area of research (e. g., understanding where the model comes from, how it is trained, and how it is used).

model Representation Learning

Personalized Federated Learning via Amortized Bayesian Meta-Learning

no code implementations5 Jul 2023 Shiyu Liu, Shaogao Lv, Dun Zeng, Zenglin Xu, Hui Wang, Yue Yu

Federated learning is a decentralized and privacy-preserving technique that enables multiple clients to collaborate with a server to learn a global model without exposing their private data.

Meta-Learning Personalized Federated Learning +2

AOG-LSTM: An adaptive attention neural network for visual storytelling

no code implementations Neurocomputing 2023 Hanqing Liu, Jiacheng Yang, Chia-Hao Chang, Wei Wang, Hai-Tao Zheng, Yong Jiang, Hui Wang, Rui Xie, and Wei Wu

Moreover, the existing method of alleviating error accumulation based on replacing reference words does not take into account the different effects of each word.

Decoder Visual Storytelling

Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing

no code implementations26 Jun 2023 Jinglong Luo, Yehong Zhang, JiaQi Zhang, Shuang Qin, Hui Wang, Yue Yu, Zenglin Xu

In contrast to existing studies that protect the data privacy of GPR via homomorphic encryption, differential privacy, or federated learning, our proposed method is more practical and can be used to preserve the data privacy of both the model inputs and outputs for various data-sharing scenarios (e. g., horizontally/vertically-partitioned data).

Federated Learning GPR +2

An Enhanced Res2Net with Local and Global Feature Fusion for Speaker Verification

2 code implementations22 May 2023 Yafeng Chen, Siqi Zheng, Hui Wang, Luyao Cheng, Qian Chen, Jiajun Qi

This paper proposes a novel architecture called Enhanced Res2Net (ERes2Net), which incorporates both local and global feature fusion techniques to improve the performance.

Speaker Verification

Exploring Speaker-Related Information in Spoken Language Understanding for Better Speaker Diarization

no code implementations22 May 2023 Luyao Cheng, Siqi Zheng, Zhang Qinglin, Hui Wang, Yafeng Chen, Qian Chen

In this paper, we propose methods to extract speaker-related information from semantic content in multi-party meetings, which, as we will show, can further benefit speaker diarization.

speaker-diarization Speaker Diarization +1

A novel parameter decoupling approach of personalized federated learning for image analysis

no code implementations IET computer vision 2023 Ruizheng Su, Xiongwen Pang, Hui Wang

To address the problem of the statistical heterogeneity in image analysis, PCCFED, a personalised federated learning method utilizing the strategy of parameter decoupling is proposed.

Personalized Federated Learning

Towards Tackling MaxSAT by Combining Nested Monte Carlo with Local Search

no code implementations26 Feb 2023 Hui Wang, Abdallah Saffidine, Tristan Cazenave

First, a nesting of the tree search inspired by the Nested Monte Carlo Search algorithm is effective on most instance types in the benchmark.

The most probable dynamics of receptor-ligand binding on cell membrane

no code implementations16 Feb 2023 Xi Chen, Hui Wang, Jinqiao Duan

We consider the dynamics of a receptor binding to a ligand on the cell membrane, where the receptor and ligand perform different motions and are thus modeled by stochastic differential equations with Gaussian noise or non-Gaussian noise.

Semantic Feature Integration network for Fine-grained Visual Classification

no code implementations13 Feb 2023 Hui Wang, Yueyang Li, Haichi Luo

By eliminating unnecessary features and reconstructing the semantic relations among discriminative features, our SFI-Net has achieved satisfying performance.

Classification Fine-Grained Image Classification

Robust Split Federated Learning for U-shaped Medical Image Networks

1 code implementation13 Dec 2022 Ziyuan Yang, Yingyu Chen, Huijie Huangfu, Maosong Ran, Hui Wang, Xiaoxiao Li, Yi Zhang

To achieve this goal, in this paper, we propose Robust Split Federated Learning (RoS-FL) for U-shaped medical image networks, which is a novel hybrid learning paradigm of FL and SL.

Federated Learning

Integrated optimization of train timetables rescheduling and response vehicles on a disrupted metro line

no code implementations12 Dec 2022 Hui Wang, Jialin Liu, Feng Li, Hao Ji, Bin Jia, Ziyou Gao

Numerical cases of Beijing Metro Line 9 verify the efficiency and effectiveness of our proposed model, and results show that: (1) when occurring a disruption event during peak hours, the impact on the normal timetable is greater, and passengers in the direction with fewer train services are more affected; (2) if passengers stranded at the terminal stations of disruption area are not transported in time, they will rapidly increase at a speed of more than 300 passengers per minute; (3) compared with the fixed shortest path, using the response vehicles reduces the total travel time about 7%.

Pushing the limits of self-supervised speaker verification using regularized distillation framework

1 code implementation8 Nov 2022 Yafeng Chen, Siqi Zheng, Hui Wang, Luyao Cheng, Qian Chen

A range of experiments conducted on the VoxCeleb datasets demonstrate the superiority of the regularized DINO framework in speaker verification.

Data Augmentation Diversity +2

A Secure and Efficient Multi-Object Grasping Detection Approach for Robotic Arms

no code implementations8 Sep 2022 Hui Wang, Jieren Cheng, Yichen Xu, Sirui Ni, Zaijia Yang, Jiangpeng Li

However, with wide applications of deep learning in robotic arms, there are new challenges such as the allocation of grasping computing power and the growing demand for security.

Decoder Deep Learning +1

Entropy-driven Sampling and Training Scheme for Conditional Diffusion Generation

1 code implementation23 Jun 2022 Shengming Li, Guangcong Zheng, Hui Wang, Taiping Yao, Yang Chen, Shoudong Ding, Xi Li

Denoising Diffusion Probabilistic Model (DDPM) is able to make flexible conditional image generation from prior noise to real data, by introducing an independent noise-aware classifier to provide conditional gradient guidance at each time step of denoising process.

Conditional Image Generation Denoising

Motion Gait: Gait Recognition via Motion Excitation

no code implementations22 Jun 2022 Yunpeng Zhang, Zhengyou Wang, Shanna Zhuang, Hui Wang

Gait recognition, which can realize long-distance and contactless identification, is an important biometric technology.

Gait Recognition

Exploring evolution-aware & -free protein language models as protein function predictors

1 code implementation14 Jun 2022 Mingyang Hu, Fajie Yuan, Kevin K. Yang, Fusong Ju, Jin Su, Hui Wang, Fei Yang, Qiuyang Ding

Large-scale Protein Language Models (PLMs) have improved performance in protein prediction tasks, ranging from 3D structure prediction to various function predictions.

Multiple Sequence Alignment Prediction

Feature-aware Diversified Re-ranking with Disentangled Representations for Relevant Recommendation

no code implementations10 Jun 2022 Zihan Lin, Hui Wang, Jingshu Mao, Wayne Xin Zhao, Cheng Wang, Peng Jiang, Ji-Rong Wen

Relevant recommendation is a special recommendation scenario which provides relevant items when users express interests on one target item (e. g., click, like and purchase).

Disentanglement Diversity +1

Encoded Gradients Aggregation against Gradient Leakage in Federated Learning

no code implementations26 May 2022 Dun Zeng, Shiyu Liu, Siqi Liang, Zonghang Li, Hui Wang, Irwin King, Zenglin Xu

However, privacy information could be leaked from uploaded gradients and be exposed to malicious attackers or an honest-but-curious server.

Federated Learning

Cross-Enhancement Transformer for Action Segmentation

1 code implementation19 May 2022 Jiahui Wang, Zhenyou Wang, Shanna Zhuang, Hui Wang

Temporal convolutions have been the paradigm of choice in action segmentation, which enhances long-term receptive fields by increasing convolution layers.

Action Segmentation Decoder +1

CATNet: Cross-event Attention-based Time-aware Network for Medical Event Prediction

no code implementations29 Apr 2022 Sicen Liu, Xiaolong Wang, Yang Xiang, Hui Xu, Hui Wang, Buzhou Tang

It is a time-aware, event-aware and task-adaptive method with the following advantages: 1) modeling heterogeneous information and temporal information in a unified way and considering temporal irregular characteristics locally and globally respectively, 2) taking full advantage of correlations among different types of events via cross-event attention.

Time Series Analysis

Unsupervised Quantized Prosody Representation for Controllable Speech Synthesis

no code implementations7 Apr 2022 Yutian Wang, Yuankun Xie, Kun Zhao, Hui Wang, Qin Zhang

In this paper, we propose a novel prosody disentangle method for prosodic Text-to-Speech (TTS) model, which introduces the vector quantization (VQ) method to the auxiliary prosody encoder to obtain the decomposed prosody representations in an unsupervised manner.

Quantization Speech Synthesis +2

Graph-based Approximate NN Search: A Revisit

no code implementations2 Apr 2022 Hui Wang, Yong Wang, Wan-Lei Zhao

For the graph construction, a two-stage graph diversification scheme is proposed, which makes a good trade-off between the efficiency and reachability for the search procedure that builds upon it.

graph construction Information Retrieval +1

Multimodal data matters: language model pre-training over structured and unstructured electronic health records

1 code implementation25 Jan 2022 Sicen Liu, Xiaolong Wang, Yongshuai Hou, Ge Li, Hui Wang, Hui Xu, Yang Xiang, Buzhou Tang

As two important textual modalities in electronic health records (EHR), both structured data (clinical codes) and unstructured data (clinical narratives) have recently been increasingly applied to the healthcare domain.

Decision Making Language Modeling +2

PowerGear: Early-Stage Power Estimation in FPGA HLS via Heterogeneous Edge-Centric GNNs

1 code implementation25 Jan 2022 Zhe Lin, Zike Yuan, Jieru Zhao, Wei zhang, Hui Wang, Yonghong Tian

Specifically, in the graph construction flow, we introduce buffer insertion, datapath merging, graph trimming and feature annotation techniques to transform HLS designs into graph-structured data, which encode both intra-operation micro-architectures and inter-operation interconnects annotated with switching activities.

graph construction Graph Learning +2

A Survey on Neural-symbolic Learning Systems

no code implementations10 Nov 2021 Dongran Yu, Bo Yang, Dayou Liu, Hui Wang, Shirui Pan

In recent years, neural systems have demonstrated highly effective learning ability and superior perception intelligence.

Survey

Meter-Range Wireless Motor Drive for Pipeline Transportation

no code implementations26 Oct 2021 Wei Liu, K. T. Chau, Hui Wang, Tengbo Yang

This paper proposes and implements a meter-range wireless motor drive (WMD) system for promising applications of underground pipeline transportations or in-pipe robots.

Dual-branch Attention-In-Attention Transformer for single-channel speech enhancement

1 code implementation13 Oct 2021 Guochen Yu, Andong Li, Chengshi Zheng, Yinuo Guo, Yutian Wang, Hui Wang

Curriculum learning begins to thrive in the speech enhancement area, which decouples the original spectrum estimation task into multiple easier sub-tasks to achieve better performance.

Speech Enhancement

A Two-stage Complex Network using Cycle-consistent Generative Adversarial Networks for Speech Enhancement

no code implementations5 Sep 2021 Guochen Yu, Yutian Wang, Hui Wang, Qin Zhang, Chengshi Zheng

After that, the second stage is applied to further suppress the residual noise components and estimate the clean phase by a complex spectral mapping network, which is a pure complex-valued network composed of complex 2D convolution/deconvolution and complex temporal-frequency attention blocks.

Denoising Speech Enhancement

FedLab: A Flexible Federated Learning Framework

1 code implementation24 Jul 2021 Dun Zeng, Siqi Liang, Xiangjing Hu, Hui Wang, Zenglin Xu

Federated learning (FL) is a machine learning field in which researchers try to facilitate model learning process among multiparty without violating privacy protection regulations.

Federated Learning

Progressive Class-based Expansion Learning For Image Classification

no code implementations28 Jun 2021 Hui Wang, Hanbin Zhao, Xi Li

In this paper, we propose a novel image process scheme called class-based expansion learning for image classification, which aims at improving the supervision-stimulation frequency for the samples of the confusing classes.

Classification image-classification +1

Curriculum Pre-Training Heterogeneous Subgraph Transformer for Top-$N$ Recommendation

no code implementations12 Jun 2021 Hui Wang, Kun Zhou, Wayne Xin Zhao, Jingyuan Wang, Ji-Rong Wen

Due to the flexibility in modelling data heterogeneity, heterogeneous information network (HIN) has been adopted to characterize complex and heterogeneous auxiliary data in top-$N$ recommender systems, called \emph{HIN-based recommendation}.

Recommendation Systems

A Deep Variational Bayesian Framework for Blind Image Deblurring

no code implementations5 Jun 2021 Hui Wang, Zongsheng Yue, Qian Zhao, Deyu Meng

Under this framework, the posterior of the latent clean image and blur kernel can be jointly estimated in an amortized inference fashion with DNNs, and the involved inference DNNs can be trained by fully considering the physical blur model, together with the supervision of data driven priors for the clean image and blur kernel, which is naturally led to by the evidence lower bound objective.

Image Deblurring Variational Inference

Adaptive Warm-Start MCTS in AlphaZero-like Deep Reinforcement Learning

no code implementations13 May 2021 Hui Wang, Mike Preuss, Aske Plaat

AlphaZero has achieved impressive performance in deep reinforcement learning by utilizing an architecture that combines search and training of a neural network in self-play.

Board Games Deep Reinforcement Learning +2

Blockchain-Based Decentralized Energy Management Platform for Residential Distributed Energy Resources in A Virtual Power Plant

no code implementations1 May 2021 Qing Yang, Hao Wang, Taotao Wang, Shengli Zhang, Xiaoxiao Wu, Hui Wang

In this paper, we develop a blockchain-based VPP energy management platform to facilitate a rich set of transactive energy activities among residential users with renewables, energy storage, and flexible loads in a VPP.

energy trading Management +1

Unsupervised Domain Adaptation for Image Classification via Structure-Conditioned Adversarial Learning

no code implementations4 Mar 2021 Hui Wang, Jian Tian, Songyuan Li, Hanbin Zhao, Qi Tian, Fei Wu, Xi Li

Unsupervised domain adaptation (UDA) typically carries out knowledge transfer from a label-rich source domain to an unlabeled target domain by adversarial learning.

General Classification image-classification +3

RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms

1 code implementation3 Nov 2020 Wayne Xin Zhao, Shanlei Mu, Yupeng Hou, Zihan Lin, Yushuo Chen, Xingyu Pan, Kaiyuan Li, Yujie Lu, Hui Wang, Changxin Tian, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang, Ji-Rong Wen

In this library, we implement 73 recommendation models on 28 benchmark datasets, covering the categories of general recommendation, sequential recommendation, context-aware recommendation and knowledge-based recommendation.

Collaborative Filtering Sequential Recommendation

Lyapunov-guided Deep Reinforcement Learning for Stable Online Computation Offloading in Mobile-Edge Computing Networks

1 code implementation3 Oct 2020 Suzhi Bi, Liang Huang, Hui Wang, Ying-Jun Angela Zhang

In particular, we aim to design an online computation offloading algorithm to maximize the network data processing capability subject to the long-term data queue stability and average power constraints.

Edge-computing Networking and Internet Architecture

Leveraging Historical Interaction Data for Improving Conversational Recommender System

no code implementations19 Aug 2020 Kun Zhou, Wayne Xin Zhao, Hui Wang, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Ji-Rong Wen

Most of the existing CRS methods focus on learning effective preference representations for users from conversation data alone.

Attribute Recommendation Systems

S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization

2 code implementations18 Aug 2020 Kun Zhou, Hui Wang, Wayne Xin Zhao, Yutao Zhu, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Ji-Rong Wen

To tackle this problem, we propose the model S^3-Rec, which stands for Self-Supervised learning for Sequential Recommendation, based on the self-attentive neural architecture.

Attribute Self-Supervised Learning +1

Memory Efficient Class-Incremental Learning for Image Classification

no code implementations4 Aug 2020 Hanbin Zhao, Hui Wang, Yongjian Fu, Fei Wu, Xi Li

To cope with the forgetting problem, many CIL methods transfer the knowledge of old classes by preserving some exemplar samples into the size-constrained memory buffer.

Classification class-incremental learning +6

What and Where: Learn to Plug Adapters via NAS for Multi-Domain Learning

no code implementations24 Jul 2020 Hanbin Zhao, Hao Zeng, Xin Qin, Yongjian Fu, Hui Wang, Bourahla Omar, Xi Li

As an important and challenging problem, multi-domain learning (MDL) typically seeks for a set of effective lightweight domain-specific adapter modules plugged into a common domain-agnostic network.

Neural Architecture Search

Tackling Morpion Solitaire with AlphaZero-likeRanked Reward Reinforcement Learning

no code implementations14 Jun 2020 Hui Wang, Mike Preuss, Michael Emmerich, Aske Plaat

A later algorithm, Nested Rollout Policy Adaptation, was able to find a new record of 82 steps, albeit with large computational resources.

Game of Go reinforcement-learning +4

Warm-Start AlphaZero Self-Play Search Enhancements

no code implementations26 Apr 2020 Hui Wang, Mike Preuss, Aske Plaat

Recently, AlphaZero has achieved landmark results in deep reinforcement learning, by providing a single self-play architecture that learned three different games at super human level.

Board Games Deep Reinforcement Learning +1

Iterative Context-Aware Graph Inference for Visual Dialog

1 code implementation CVPR 2020 Dan Guo, Hui Wang, Hanwang Zhang, Zheng-Jun Zha, Meng Wang

Visual dialog is a challenging task that requires the comprehension of the semantic dependencies among implicit visual and textual contexts.

Graph Attention Graph Embedding +2

Analysis of Hyper-Parameters for Small Games: Iterations or Epochs in Self-Play?

no code implementations12 Mar 2020 Hui Wang, Michael Emmerich, Mike Preuss, Aske Plaat

A secondary result of our experiments concerns the choice of optimization goals, for which we also provide recommendations.

Reinforcement Learning

A Group Norm Regularized Factorization Model for Subspace Segmentation

no code implementations8 Jan 2020 Xishun Wang, Zhouwang Yang, Xingye Yue, Hui Wang

Subspace segmentation assumes that data comes from the union of different subspaces and the purpose of segmentation is to partition the data into the corresponding subspace.

Clustering Graph Clustering +1

Residual Block-based Multi-Label Classification and Localization Network with Integral Regression for Vertebrae Labeling

no code implementations1 Jan 2020 Chunli Qin, Demin Yao, Han Zhuang, Hui Wang, Yonghong Shi, Zhijian Song

Accurate identification and localization of the vertebrae in CT scans is a critical and standard preprocessing step for clinical spinal diagnosis and treatment.

General Classification Multi-Label Classification +2

Composing Knowledge Graph Embeddings via Word Embeddings

no code implementations9 Sep 2019 Lianbo Ma, Peng Sun, Zhiwei Lin, Hui Wang

As $(\mathbf{h},\mathbf{r},\mathbf{t})$ is learned from the existing facts within a knowledge graph, these representations can not be used to detect unknown facts (if the entities or relations never occur in the knowledge graph).

Knowledge Graph Completion Knowledge Graph Embedding +3

On the Merge of k-NN Graph

1 code implementation2 Aug 2019 Wan-Lei Zhao, Hui Wang, Peng-Cheng Lin, Chong-Wah Ngo

Unfortunately, a closely related issue of how to merge two existing k-NN graphs has been overlooked.

graph construction Information Retrieval +1

Neural Machine Reading Comprehension: Methods and Trends

no code implementations2 Jul 2019 Shanshan Liu, Xin Zhang, Sheng Zhang, Hui Wang, Weiming Zhang

Machine reading comprehension (MRC), which requires a machine to answer questions based on a given context, has attracted increasing attention with the incorporation of various deep-learning techniques over the past few years.

Machine Reading Comprehension Survey

Hyper-Parameter Sweep on AlphaZero General

1 code implementation19 Mar 2019 Hui Wang, Michael Emmerich, Mike Preuss, Aske Plaat

Therefore, in this paper, we choose 12 parameters in AlphaZero and evaluate how these parameters contribute to training.

Game of Go

Democratisation of Usable Machine Learning in Computer Vision

no code implementations18 Feb 2019 Raymond Bond, Ansgar Koene, Alan Dix, Jennifer Boger, Maurice D. Mulvenna, Mykola Galushka, Bethany Waterhouse Bradley, Fiona Browne, Hui Wang, Alexander Wong

Many industries are now investing heavily in data science and automation to replace manual tasks and/or to help with decision making, especially in the realm of leveraging computer vision to automate many monitoring, inspection, and surveillance tasks.

BIG-bench Machine Learning Decision Making

Most Probable Evolution Trajectories in a Genetic Regulatory System Excited by Stable Lévy Noise

no code implementations9 Oct 2018 Xiujun Cheng, Hui Wang, Xiao Wang, Jinqiao Duan, Xiaofan Li

We especially examine those most probable trajectories from low concentration state to high concentration state (i. e., the likely transcription regime) for certain parameters, in order to gain insights into the transcription processes and the tipping time for the transcription likely to occur.

Approximation by filter functions

no code implementations20 Jun 2018 Ivo Düntsch, Günther Gediga, Hui Wang

In this exploratory article, we draw attention to the common formal ground among various estimators such as the belief functions of evidence theory and their relatives, approximation quality of rough set theory, and contextual probability.

Minimum Margin Loss for Deep Face Recognition

no code implementations17 May 2018 Xin Wei, Hui Wang, Bryan Scotney, Huan Wan

Face recognition has achieved great progress owing to the fast development of the deep neural network in the past a few years.

Face Recognition

Approximate k-NN Graph Construction: a Generic Online Approach

no code implementations9 Apr 2018 Wan-Lei Zhao, Hui Wang, Chong-Wah Ngo

On the one hand, the approximate k-nearest neighbor graph construction is treated as a search task.

graph construction Information Retrieval +1

Aspect-level Sentiment Classification with HEAT (HiErarchical ATtention) Network

no code implementations CIKM 2017 Jiajun Cheng, Shenglin Zhao, Jiani Zhang, Irwin King, Xin Zhang, Hui Wang

However, the prior work only attends to the sentiment information and ignores the aspect-related information in the text, which may cause mismatching between the sentiment words and the aspects when an unrelated sentiment word is semantically meaningful for the given aspect.

Classification Sentence +2

Concordance and the Smallest Covering Set of Preference Orderings

1 code implementation15 Sep 2016 Zhiwei Lin, Hui Wang, Cees H. Elzinga

Preference orderings are orderings of a set of items according to the preferences (of judges).

Decision Making Marketing

A machine learning method for the large-scale evaluation of urban visual environment

no code implementations11 Aug 2016 Lun Liu, Hui Wang, Chunyang Wu

Given the size of modern cities in the urbanising age, it is beyond the perceptual capacity of most people to develop a good knowledge about the beauty and ugliness of the city at every street corner.

BIG-bench Machine Learning Cultural Vocal Bursts Intensity Prediction

Information-theoretic Interestingness Measures for Cross-Ontology Data Mining

no code implementations29 Apr 2015 Prashanti Manda, Fiona McCarthy, Bindu Nanduri, Hui Wang, Susan M. Bridges

Development of efficient data mining methods and metrics to mine and assess the quality of the mined relationships has not kept pace with the growth of annotation data.

Anatomy

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