no code implementations • 18 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.
no code implementations • 14 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.
1 code implementation • 11 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.
no code implementations • 4 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.
no code implementations • 30 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.
1 code implementation • 30 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.
no code implementations • 26 May 2025 • Haiyang Sun, Shujie Hu, Shujie Liu, Lingwei Meng, Hui Wang, Bing Han, Yifan Yang, Yanqing Liu, Sheng Zhao, Yan Lu, Yanmin Qian
Zero-shot streaming text-to-speech is an important research topic in human-computer interaction.
no code implementations • 24 May 2025 • Jingran Xie, Xiang Li, Hui Wang, Yue Yu, Yang Xiang, Xixin Wu, Zhiyong Wu
These speech LLMs (SLLMs) typically use supervised fine-tuning to align speech with text-based LLMs.
no code implementations • 23 May 2025 • Zhihao Du, Changfeng Gao, Yuxuan Wang, Fan Yu, Tianyu Zhao, Hao Wang, Xiang Lv, Hui Wang, Chongjia Ni, Xian Shi, Keyu An, Guanrou Yang, Yabin Li, Yanni Chen, Zhifu Gao, Qian Chen, Yue Gu, Mengzhe Chen, Yafeng Chen, Shiliang Zhang, Wen Wang, Jieping Ye
Despite these advancements, CosyVoice 2 exhibits limitations in language coverage, domain diversity, data volume, text formats, and post-training techniques.
1 code implementation • 20 May 2025 • Yafeng Chen, Chong Deng, Hui Wang, Yiheng Jiang, Han Yin, Qian Chen, Wen Wang
Developing robust speaker verification (SV) systems without speaker labels has been a longstanding challenge.
no code implementations • 21 Apr 2025 • Jinghua Zhao, Yuhang Jia, Shiyao Wang, Jiaming Zhou, Hui Wang, Yong Qin
Incorporating visual modalities to assist Automatic Speech Recognition (ASR) tasks has led to significant improvements.
Audio-Visual Speech Recognition
Automatic Speech Recognition
+4
no code implementations • 18 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.
no code implementations • 15 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.
no code implementations • 14 Apr 2025 • Yifan Yang, Shujie Liu, Jinyu Li, Yuxuan Hu, Haibin Wu, Hui Wang, Jianwei Yu, Lingwei Meng, Haiyang Sun, Yanqing Liu, Yan Lu, Kai Yu, Xie Chen
Building on PAR, we propose PALLE, a two-stage TTS system that leverages PAR for initial generation followed by NAR refinement.
no code implementations • 27 Mar 2025 • Hui Wang
This study aims to develop a Gomoku AI system based on LLMs, simulating the human learning process of playing chess.
no code implementations • 26 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.
1 code implementation • 24 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.
no code implementations • 20 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.
1 code implementation • 3 Mar 2025 • Wenshuai Huo, Xiaocheng Feng, Yichong Huang, Chengpeng Fu, Baohang Li, Yangfan Ye, Zhirui Zhang, Dandan Tu, Duyu Tang, Yunfei Lu, Hui Wang, Bing Qin
Large language models (LLMs) have demonstrated significant progress in multilingual language understanding and generation.
no code implementations • 26 Feb 2025 • Jiaming Zhou, Yujie Guo, Shiwan Zhao, Haoqin Sun, Hui Wang, Jiabei He, Aobo Kong, Shiyao Wang, Xi Yang, Yequan Wang, Yonghua Lin, Yong Qin
Code-switching (CS), the alternation between two or more languages within a single conversation, presents significant challenges for automatic speech recognition (ASR) systems.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
1 code implementation • 25 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.
no code implementations • 19 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.
1 code implementation • 18 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.
no code implementations • 17 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.
no code implementations • 17 Feb 2025 • Chaoxu Mu, Xufeng Zhang, Hui Wang
Heuristics have achieved great success in solv- ing combinatorial optimization problems (COPs).
no code implementations • 17 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.
no code implementations • 16 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.
no code implementations • 21 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.
no code implementations • 19 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.
no code implementations • 10 Jan 2025 • Qian Chen, Yafeng Chen, Yanni Chen, Mengzhe Chen, Yingda Chen, Chong Deng, Zhihao Du, Ruize Gao, Changfeng Gao, Zhifu Gao, Yabin Li, Xiang Lv, Jiaqing Liu, Haoneng Luo, Bin Ma, Chongjia Ni, Xian Shi, Jialong Tang, Hui Wang, Hao Wang, Wen Wang, Yuxuan Wang, Yunlan Xu, Fan Yu, Zhijie Yan, Yexin Yang, Baosong Yang, Xian Yang, Guanrou Yang, Tianyu Zhao, Qinglin Zhang, Shiliang Zhang, Nan Zhao, Pei Zhang, Chong Zhang, Jinren Zhou
Previous models for voice interactions are categorized as native and aligned.
no code implementations • 8 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.
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.
no code implementations • 30 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.
no code implementations • 24 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.
no code implementations • 21 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.
no code implementations • 20 Dec 2024 • Yifan Yang, Ziyang Ma, Shujie Liu, Jinyu Li, Hui Wang, Lingwei Meng, Haiyang Sun, Yuzhe Liang, Ruiyang Xu, Yuxuan Hu, Yan Lu, Rui Zhao, Xie Chen
This paper introduces Interleaved Speech-Text Language Model (IST-LM) for streaming zero-shot Text-to-Speech (TTS).
no code implementations • 17 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.
no code implementations • 14 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.
1 code implementation • 13 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.
no code implementations • 27 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.
no code implementations • 18 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.
1 code implementation • 5 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.
no code implementations • 14 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.
no code implementations • 11 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.
1 code implementation • 9 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.
no code implementations • 27 Sep 2024 • Yanyuan Qiao, Wenqi Lyu, Hui Wang, Zixu Wang, Zerui Li, Yuan Zhang, Mingkui Tan, Qi Wu
Vision-and-Language Navigation (VLN) tasks require an agent to follow textual instructions to navigate through 3D environments.
no code implementations • 27 Sep 2024 • Tianyang Zhong, Zhengliang Liu, Yi Pan, Yutong Zhang, Yifan Zhou, Shizhe Liang, Zihao Wu, Yanjun Lyu, Peng Shu, Xiaowei Yu, Chao Cao, Hanqi Jiang, Hanxu Chen, Yiwei Li, JunHao Chen, Huawen Hu, Yihen Liu, Huaqin Zhao, Shaochen Xu, Haixing Dai, Lin Zhao, Ruidong Zhang, Wei Zhao, Zhenyuan Yang, Jingyuan Chen, Peilong Wang, Wei Ruan, Hui Wang, Huan Zhao, Jing Zhang, Yiming Ren, Shihuan Qin, Tong Chen, Jiaxi Li, Arif Hassan Zidan, Afrar Jahin, Minheng Chen, Sichen Xia, Jason Holmes, Yan Zhuang, Jiaqi Wang, Bochen Xu, Weiran Xia, Jichao Yu, Kaibo Tang, Yaxuan Yang, Bolun Sun, Tao Yang, Guoyu Lu, Xianqiao Wang, Lilong Chai, He Li, Jin Lu, Lichao Sun, Xin Zhang, Bao Ge, Xintao Hu, Lian Zhang, Hua Zhou, Lu Zhang, Shu Zhang, Ninghao Liu, Bei Jiang, Linglong Kong, Zhen Xiang, Yudan Ren, Jun Liu, Xi Jiang, Yu Bao, Wei zhang, Xiang Li, Gang Li, Wei Liu, Dinggang Shen, Andrea Sikora, Xiaoming Zhai, Dajiang Zhu, Tianming Liu
-Impressive performance in chip design tasks, outperforming specialized models in areas such as EDA script generation and bug analysis.
no code implementations • 24 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.
no code implementations • 20 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.
1 code implementation • 20 Sep 2024 • Han Yin, Jisheng Bai, Yang Xiao, Hui Wang, Siqi Zheng, Yafeng Chen, Rohan Kumar Das, Chong Deng, Jianfeng Chen
To address this issue, we propose the text-queried SED (TQ-SED) framework.
1 code implementation • 26 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).
no code implementations • 23 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.
no code implementations • 22 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.
no code implementations • 22 Aug 2024 • Luyao Cheng, Hui Wang, Siqi Zheng, Yafeng Chen, Rongjie Huang, Qinglin Zhang, Qian Chen, Xihao Li
Then we introduce a joint pairwise constraint propagation algorithm to cluster speakers based on these visual and semantic constraints.
1 code implementation • 20 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.
no code implementations • 15 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.
1 code implementation • 4 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.
no code implementations • 3 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.
1 code implementation • 3 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.
no code implementations • 1 Jul 2024 • Etienne Chollet, Yaël Balbastre, Chiara Mauri, Caroline Magnain, Bruce Fischl, Hui Wang
Microvascular anatomy is known to be involved in various neurological disorders.
no code implementations • 28 Jun 2024 • Anjali Rawal, Hui Wang, Youjia Zheng, Yu-Hsuan Lin, Shanu Sushmita
This paper analyzes datasets of varying text lengths: small, medium, and large.
2 code implementations • 17 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.
no code implementations • 17 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.
1 code implementation • 12 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.
no code implementations • 6 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
no code implementations • 4 Jun 2024 • Yafeng Chen, Siqi Zheng, Hui Wang, Luyao Cheng, Qian Chen, Shiliang Zhang, Junjie Li
Speaker verification systems experience significant performance degradation when tasked with short-duration trial recordings.
no code implementations • 23 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).
no code implementations • 22 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.
no code implementations • 5 May 2024 • Chengpeng Fu, Xiaocheng Feng, Yichong Huang, Wenshuai Huo, Baohang Li, Hui Wang, Bin Qin, Ting Liu
Leveraging large language models for machine translation has demonstrated promising results.
1 code implementation • 19 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.
2 code implementations • 29 Mar 2024 • Yafeng Chen, Siqi Zheng, Hui Wang, Luyao Cheng, Tinglong Zhu, Rongjie Huang, Chong Deng, Qian Chen, Shiliang Zhang, Wen Wang, Xihao Li
With 3D-Speaker-Toolkit, we establish a new benchmark for multimodal speaker analysis.
1 code implementation • 7 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.
1 code implementation • 22 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.
no code implementations • 22 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.
no code implementations • 16 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.
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.
no code implementations • 5 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.
1 code implementation • 1 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.
no code implementations • 30 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.
no code implementations • 19 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.
no code implementations • 10 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.
no code implementations • 8 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.
no code implementations • 24 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.
no code implementations • 19 Sep 2023 • Luyao Cheng, Siqi Zheng, Qinglin Zhang, Hui Wang, Yafeng Chen, Qian Chen, Shiliang Zhang
Speaker diarization has gained considerable attention within speech processing research community.
1 code implementation • 9 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.
no code implementations • 31 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.
no code implementations • 7 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.
2 code implementations • 5 Aug 2023 • Yafeng Chen, Siqi Zheng, Hui Wang, Luyao Cheng, Qian Chen, Chong Deng, Shiliang Zhang, Wen Wang
To mitigate this problem, we introduce a diversity regularization term to embeddings in SDPN.
no code implementations • 4 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).
no code implementations • 5 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.
2 code implementations • 27 Jun 2023 • Siqi Zheng, Luyao Cheng, Yafeng Chen, Hui Wang, Qian Chen
Disentangling uncorrelated information in speech utterances is a crucial research topic within speech community.
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.
Ranked #20 on
Visual Storytelling
on VIST
no code implementations • 26 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).
2 code implementations • 22 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.
no code implementations • 22 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.
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.
no code implementations • 26 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.
no code implementations • 16 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.
no code implementations • 13 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.
1 code implementation • 13 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.
no code implementations • 12 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%.
1 code implementation • 8 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.
no code implementations • 8 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.
1 code implementation • 23 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.
Ranked #2 on
Conditional Image Generation
on ImageNet 128x128
no code implementations • 22 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.
1 code implementation • 14 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.
no code implementations • 10 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).
no code implementations • 26 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.
1 code implementation • 19 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.
Ranked #7 on
Action Segmentation
on Breakfast
no code implementations • 29 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.
no code implementations • 7 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.
no code implementations • 2 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.
1 code implementation • 25 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.
1 code implementation • 25 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.
no code implementations • 10 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.
1 code implementation • CIKM '21: Proceedings of the 30th ACM International Conference on Information & Knowledge Management 2021 • Hui Wang, Wan-Lei Zhao, Xiangxiang Zeng, Jianye Yang
In this paper, NN-Descent has been redesigned to adapt to the GPU architecture.
no code implementations • 26 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.
1 code implementation • 13 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.
no code implementations • 5 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.
1 code implementation • 24 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.
no code implementations • 28 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.
no code implementations • 12 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}.
no code implementations • 5 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.
no code implementations • 13 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.
no code implementations • 1 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.
5 code implementations • 26 Apr 2021 • Wei Zeng, Xiaozhe Ren, Teng Su, Hui Wang, Yi Liao, Zhiwei Wang, Xin Jiang, ZhenZhang Yang, Kaisheng Wang, Xiaoda Zhang, Chen Li, Ziyan Gong, Yifan Yao, Xinjing Huang, Jun Wang, Jianfeng Yu, Qi Guo, Yue Yu, Yan Zhang, Jin Wang, Hengtao Tao, Dasen Yan, Zexuan Yi, Fang Peng, Fangqing Jiang, Han Zhang, Lingfeng Deng, Yehong Zhang, Zhe Lin, Chao Zhang, Shaojie Zhang, Mingyue Guo, Shanzhi Gu, Gaojun Fan, YaoWei Wang, Xuefeng Jin, Qun Liu, Yonghong Tian
To enhance the generalization ability of PanGu-$\alpha$, we collect 1. 1TB high-quality Chinese data from a wide range of domains to pretrain the model.
Ranked #1 on
Reading Comprehension (One-Shot)
on DuReader
Cloze (multi-choices) (Few-Shot)
Cloze (multi-choices) (One-Shot)
+19
1 code implementation • 29 Mar 2021 • Hui Wang, Wan-Lei Zhao, Xiangxiang Zeng
NN-Descent was proposed as an effective solution for the graph construction problem.
no code implementations • 4 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.
1 code implementation • 3 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.
1 code implementation • 3 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
no code implementations • 19 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.
2 code implementations • 18 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.
no code implementations • 4 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.
no code implementations • 24 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.
no code implementations • 14 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.
2 code implementations • 21 May 2020 • Ruiyang Ren, Zhao-Yang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, Ji-Rong Wen
Recently, deep learning has made significant progress in the task of sequential recommendation.
no code implementations • 26 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.
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.
Ranked #12 on
Visual Dialog
on VisDial v0.9 val
no code implementations • 12 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.
no code implementations • 8 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.
no code implementations • 1 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.
no code implementations • 9 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).
1 code implementation • 2 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.
no code implementations • 2 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.
1 code implementation • 30 May 2019 • Zhengui Xue, Zhiwei Lin, Hui Wang, Sally McClean
Existing studies are insufficient in assessing the overall consensus of a ranking set.
1 code implementation • 19 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.
no code implementations • 18 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.
1 code implementation • 14 Oct 2018 • Hui Wang, Michael Emmerich, Aske Plaat
For small games, simple classical table-based Q-learning might still be the algorithm of choice.
no code implementations • 9 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.
no code implementations • 6 Aug 2018 • Bin Chen, Wei Guo, Bin Li, Rober K. F. Teng, Mingjun Dai, Jianping Luo, Hui Wang
An automatic classification method has been studied to effectively detect and recognize Electrocardiogram (ECG).
no code implementations • 20 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.
no code implementations • 17 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.
no code implementations • 9 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.
2 code implementations • 16 Feb 2018 • Hui Wang, Michael Emmerich, Aske Plaat
GGP problems can be solved by reinforcement learning.
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.
no code implementations • SEMEVAL 2017 • Sheng Zhang, Jiajun Cheng, Hui Wang, Xin Zhang, Pei Li, Zhaoyun Ding
We describes deep neural networks frameworks in this paper to address the community question answering (cQA) ranking task (SemEval-2017 task 3).
no code implementations • 19 May 2017 • Qin Zhang, Hui Wang, Junyu Dong, Guoqiang Zhong, Xin Sun
We formulate the SST prediction problem as a time series regression problem.
1 code implementation • 15 Sep 2016 • Zhiwei Lin, Hui Wang, Cees H. Elzinga
Preference orderings are orderings of a set of items according to the preferences (of judges).
no code implementations • 11 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
no code implementations • 29 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.