no code implementations • 8 Oct 2024 • Yuzhi Xu, Haowei Ni, Qinhui Gao, Chia-Hua Chang, Yanran Huo, Fanyu Zhao, Shiyu Hu, Wei Xia, Yike Zhang, Radu Grovu, Min He, John. Z. H. Zhang, Yuanqing Wang
Computational molecular design -- the endeavor to design molecules, with various missions, aided by machine learning and molecular dynamics approaches, has been widely applied to create valuable new molecular entities, from small molecule therapeutics to protein biologics.
no code implementations • 24 Sep 2024 • Fangfang Li, Quanxue Gao, Cheng Deng, Wei Xia
However, it combines the K-means clustering and dimensionality reduction processes for optimization, leading to limitations in the clustering effect due to the introduced hyperparameters and the initialization of clustering centers.
no code implementations • 15 Sep 2024 • Qingyao Li, Wei Xia, Kounianhua Du, Xinyi Dai, Ruiming Tang, Yasheng Wang, Yong Yu, Weinan Zhang
More importantly, we construct verbal feedback from fine-grained code execution feedback to refine erroneous thoughts during the search.
no code implementations • 9 Sep 2024 • Joymallya Chakraborty, Wei Xia, Anirban Majumder, Dan Ma, Walid Chaabene, Naveed Janvekar
Our benchmark encompasses a diverse set of tasks, including detecting spam emails, hate speech, misogynistic language, and more.
no code implementations • 8 Jul 2024 • Yifan Gao, Wei Xia, Wenkui Wang, Xin Gao
In this paper, we propose MBA-Net, a novel architecture that integrates the powerful segmentation capabilities of the Segment Anything Model (SAM) with domain-specific knowledge for accurate and robust ovarian tumor segmentation.
1 code implementation • 3 Jul 2024 • Xiangyang Li, Kuicai Dong, Yi Quan Lee, Wei Xia, Yichun Yin, Hao Zhang, Yong liu, Yasheng Wang, Ruiming Tang
Despite the substantial success of Information Retrieval (IR) in various NLP tasks, most IR systems predominantly handle queries and corpora in natural language, neglecting the domain of code retrieval.
Ranked #1 on Code Search on CoIR
no code implementations • 1 Jul 2024 • Lingyue Fu, Hao Guan, Kounianhua Du, Jianghao Lin, Wei Xia, Weinan Zhang, Ruiming Tang, Yasheng Wang, Yong Yu
Knowledge Tracing (KT) aims to determine whether students will respond correctly to the next question, which is a crucial task in intelligent tutoring systems (ITS).
no code implementations • 29 May 2024 • Peng Wang, Songshuo Lu, Yaohua Tang, Sijie Yan, Wei Xia, Yuanjun Xiong
It is based on a large language model (LLM) carefully aligned to be aware of a perception module, a motor function module, and the concept of a simple finite state machine (called neural FSM) with two states.
no code implementations • 21 May 2024 • Qingyao Li, Wei Xia, Kounianhua Du, Qiji Zhang, Weinan Zhang, Ruiming Tang, Yong Yu
However, integrating LLMs into concept recommendation presents two urgent challenges: 1) How to construct text for concepts that effectively incorporate the human knowledge system?
no code implementations • 3 May 2024 • Kounianhua Du, Jizheng Chen, Renting Rui, Huacan Chai, Lingyue Fu, Wei Xia, Yasheng Wang, Ruiming Tang, Yong Yu, Weinan Zhang
Despite the intelligence shown by the general large language models, their specificity in code generation can still be improved due to the syntactic gap and mismatched vocabulary existing among natural language and different programming languages.
no code implementations • 7 Jan 2024 • Wei Xia, Shaoguang Mao, Chanjing Zheng
The primary objective is to assess the capabilities and constraints of ChatGPT, a prominent representative of large language models, within the context of automated essay scoring.
2 code implementations • 7 Jan 2024 • Quan Wang, Yiling Huang, Guanlong Zhao, Evan Clark, Wei Xia, Hank Liao
In this paper, we introduce DiarizationLM, a framework to leverage large language models (LLM) to post-process the outputs from a speaker diarization system.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3
no code implementations • 27 Dec 2023 • Qingyao Li, Lingyue Fu, Weiming Zhang, Xianyu Chen, Jingwei Yu, Wei Xia, Weinan Zhang, Ruiming Tang, Yong Yu
Solving the problems encountered by students poses a significant challenge for traditional deep learning models, as it requires not only a broad spectrum of subject knowledge but also the ability to understand what constitutes a student's individual difficulties.
1 code implementation • 11 Oct 2023 • Hangyu Wang, Ting Long, Liang Yin, Weinan Zhang, Wei Xia, Qichen Hong, Dingyin Xia, Ruiming Tang, Yong Yu
Besides, the students' response records contain valuable relational information between questions and knowledge concepts.
no code implementations • 15 Sep 2023 • Yiling Huang, Weiran Wang, Guanlong Zhao, Hank Liao, Wei Xia, Quan Wang
Whether it is the conventional modularized approach or the more recent end-to-end neural diarization (EEND), an additional automatic speech recognition (ASR) model and an orchestration algorithm are required to associate the speaker labels with recognized words.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4
no code implementations • 9 Sep 2023 • Yuanguo Lin, Hong Chen, Wei Xia, Fan Lin, Zongyue Wang, Yong liu
With the increasing complexity and diversity of educational data, Deep Learning techniques have shown significant advantages in addressing the challenges associated with analyzing and modeling this data.
no code implementations • 7 Jun 2023 • Xianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song, Weinan Zhang, Weiwen Liu, Menghui Zhu, Ruiming Tang, Kai Dong, Dingyin Xia, Yong Yu
Noticing that existing approaches fail to consider the correlations of concepts in the path, we propose a novel framework named Set-to-Sequence Ranking-based Concept-aware Learning Path Recommendation (SRC), which formulates the recommendation task under a set-to-sequence paradigm.
1 code implementation • 1 Jun 2023 • Yifan Gao, Wei Xia, Dingdu Hu, Wenkui Wang, Xin Gao
Upon further investigation, we discovered that the degradation in performance was related to the coupling effect of inevitable poor prompts and mask generation.
no code implementations • 12 May 2023 • Quanxue Gao, Qianqian Wang, Han Lu, Wei Xia, Xinbo Gao
Although numerous clustering algorithms have been developed, many existing methods still leverage k-means technique to detect clusters of data points.
no code implementations • 29 Mar 2023 • Jing Li, Quanxue Gao, Qianqian Wang, Wei Xia, Xinbo Gao
Multi-view clustering (MVC) based on non-negative matrix factorization (NMF) and its variants have received a huge amount of attention in recent years due to their advantages in clustering interpretability.
no code implementations • 27 Sep 2022 • Rahul Duggal, Hao Zhou, Shuo Yang, Jun Fang, Yuanjun Xiong, Wei Xia
With the shift towards on-device deep learning, ensuring a consistent behavior of an AI service across diverse compute platforms becomes tremendously important.
no code implementations • 4 Aug 2022 • Wei Xia, John H. L. Hansen
Second, a 2D-DCT based context model is proposed to improve model efficiency and examine the benefits of signal modeling.
1 code implementation • 12 May 2022 • Yue Zhao, Yantao Shen, Yuanjun Xiong, Shuo Yang, Wei Xia, Zhuowen Tu, Bernt Schiele, Stefano Soatto
Based on the observation, we present a method, called Ensemble Logit Difference Inhibition (ELODI), to train a classification system that achieves paragon performance in both error rate and NFR, at the inference cost of a single model.
1 code implementation • CVPR 2022 • Feng Cheng, Mingze Xu, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Li, Wei Xia
We propose a memory efficient method, named Stochastic Backpropagation (SBP), for training deep neural networks on videos.
no code implementations • CVPR 2022 • Jiarui Cai, Mingze Xu, Wei Li, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto
We propose an online tracking algorithm that performs the object detection and data association under a common framework, capable of linking objects after a long time span.
no code implementations • CVPR 2022 • De'Aira Bryant, Siqi Deng, Nashlie Sephus, Wei Xia, Pietro Perona
Humans can perceive multiple expressions, each one with varying intensity, in the picture of a face.
no code implementations • 26 Oct 2021 • Chen Geng, Meng Chen, Ruoyu Di, Dongdong Wang, Liqin Yang, Wei Xia, Yuxin Li, Daoying Geng
Conclusions:Compared with the results of our previous studies and other studies, the method in this paper achieves a very competitive sensitivity with less training data and maintains a low false positive rate. As the only method currently using 3D U-Net for aneurysm detection, it proves the feasibility and superior performance of this network in aneurysm detection, and also explores the potential of the channel attention mechanism in this task.
no code implementations • 15 Oct 2021 • Wei Xia, Quanxue Gao, Ming Yang, Xinbo Gao
Thus, for the OOS nodes, SCAGC can directly calculate their clustering labels.
no code implementations • ICLR 2022 • Haoran Sun, Hanjun Dai, Wei Xia, Arun Ramamurthy
Energy-based Model (EBM) offers a powerful approach for modeling discrete structure, but both inference and learning of EBM are hard as it involves sampling from discrete distributions.
no code implementations • 23 Sep 2021 • Szu-Jui Chen, Wei Xia, John H. L. Hansen
With additional techniques such as pronunciation and silence probability modeling, plus multi-style training, we achieve a +5. 42% and +3. 18% relative WER improvement for the development and evaluation sets of the Fearless Steps Corpus.
1 code implementation • 23 Sep 2021 • Wei Xia, Han Lu, Quan Wang, Anshuman Tripathi, Yiling Huang, Ignacio Lopez Moreno, Hasim Sak
In this paper, we present a novel speaker diarization system for streaming on-device applications.
no code implementations • 15 Aug 2021 • Quanxue Gao, Wei Xia, Xinbo Gao, Xiangdong Zhang, Qin Li, DaCheng Tao
Despite the impressive clustering performance and efficiency in characterizing both the relationship between data and cluster structure, existing graph-based multi-view clustering methods still have the following drawbacks.
2 code implementations • NeurIPS 2021 • Mingze Xu, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Xia, Zhuowen Tu, Stefano Soatto
We present Long Short-term TRansformer (LSTR), a temporal modeling algorithm for online action detection, which employs a long- and short-term memory mechanism to model prolonged sequence data.
Ranked #3 on Online Action Detection on TVSeries
no code implementations • 6 Jul 2021 • Wei Li, Yuanjun Xiong, Shuo Yang, Mingze Xu, Yongxin Wang, Wei Xia
We design a new instance-to-track matching objective to learn appearance embedding that compares a candidate detection to the embedding of the tracks persisted in the tracker.
3 code implementations • ICCV 2021 • Yifan Xing, Tong He, Tianjun Xiao, Yongxin Wang, Yuanjun Xiong, Wei Xia, David Wipf, Zheng Zhang, Stefano Soatto
Our hierarchical GNN uses a novel approach to merge connected components predicted at each level of the hierarchy to form a new graph at the next level.
no code implementations • 8 Jun 2021 • Siqi Deng, Yuanjun Xiong, Meng Wang, Wei Xia, Stefano Soatto
The common implementation of face recognition systems as a cascade of a detection stage and a recognition or verification stage can cause problems beyond failures of the detector.
no code implementations • CVPR 2021 • Rahul Duggal, Hao Zhou, Shuo Yang, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto
Existing systems use the same embedding model to compute representations (embeddings) for the query and gallery images.
1 code implementation • 25 Feb 2021 • Yuanhan Zhang, Zhenfei Yin, Jing Shao, Ziwei Liu, Shuo Yang, Yuanjun Xiong, Wei Xia, Yan Xu, Man Luo, Jian Liu, Jianshu Li, Zhijun Chen, Mingyu Guo, Hui Li, Junfu Liu, Pengfei Gao, Tianqi Hong, Hao Han, Shijie Liu, Xinhua Chen, Di Qiu, Cheng Zhen, Dashuang Liang, Yufeng Jin, Zhanlong Hao
It is the largest face anti-spoofing dataset in terms of the numbers of the data and the subjects.
2 code implementations • 18 Feb 2021 • Liming Jiang, Zhengkui Guo, Wayne Wu, Zhaoyang Liu, Ziwei Liu, Chen Change Loy, Shuo Yang, Yuanjun Xiong, Wei Xia, Baoying Chen, Peiyu Zhuang, Sili Li, Shen Chen, Taiping Yao, Shouhong Ding, Jilin Li, Feiyue Huang, Liujuan Cao, Rongrong Ji, Changlei Lu, Ganchao Tan
This paper reports methods and results in the DeeperForensics Challenge 2020 on real-world face forgery detection.
no code implementations • 21 Jan 2021 • Shaofeng Duan, Yun Cheng, Wei Xia, Yuanyuan Yang, Fengfeng Qi, Tianwei Tang, Yanfeng Guo, Dong Qian, Dao Xiang, Jie Zhang, Wentao Zhang
Exotic phenomenon can be achieved in quantum materials by confining electronic states into two dimensions.
Strongly Correlated Electrons Materials Science Superconductivity
1 code implementation • ICCV 2021 • Tianchen Zhao, Xiang Xu, Mingze Xu, Hui Ding, Yuanjun Xiong, Wei Xia
We propose a new method to detect deepfake images using the cue of the source feature inconsistency within the forged images.
1 code implementation • 13 Dec 2020 • Wei Xia, Chunlei Zhang, Chao Weng, Meng Yu, Dong Yu
First, we examine a simple contrastive learning approach (SimCLR) with a momentum contrastive (MoCo) learning framework, where the MoCo speaker embedding system utilizes a queue to maintain a large set of negative examples.
no code implementations • 12 Dec 2020 • Mufan Sang, Wei Xia, John H. L. Hansen
Despite speaker verification has achieved significant performance improvement with the development of deep neural networks, domain mismatch is still a challenging problem in this field.
no code implementations • CVPR 2021 • Sijie Yan, Yuanjun Xiong, Kaustav Kundu, Shuo Yang, Siqi Deng, Meng Wang, Wei Xia, Stefano Soatto
Reducing inconsistencies in the behavior of different versions of an AI system can be as important in practice as reducing its overall error.
1 code implementation • 30 Oct 2020 • Wei Li, Yuanjun Xiong, Shuo Yang, Siqi Deng, Wei Xia
We combine this scheme with SSD detectors by proposing a novel tracking anchor assignment module.
no code implementations • 3 Oct 2020 • Yifan Xing, Yuanjun Xiong, Wei Xia
Data augmentation has been highly effective in narrowing the data gap and reducing the cost for human annotation, especially for tasks where ground truth labels are difficult and expensive to acquire.
no code implementations • 21 Sep 2020 • Mufan Sang, Wei Xia, John H. L. Hansen
In forensic applications, it is very common that only small naturalistic datasets consisting of short utterances in complex or unknown acoustic environments are available.
no code implementations • 5 Sep 2020 • Zhenyu Wang, Wei Xia, John H. L. Hansen
Forensic audio analysis for speaker verification offers unique challenges due to location/scenario uncertainty and diversity mismatch between reference and naturalistic field recordings.
no code implementations • 2 Sep 2020 • Wei Xia, John H. L. Hansen
In this study, we propose the global context guided channel and time-frequency transformations to model the long-range, non-local time-frequency dependencies and channel variances in speaker representations.
no code implementations • 5 Aug 2020 • Tianyu Cui, Gang Xiong, Gaopeng Gou, Junzheng Shi, Wei Xia
Fast IPv6 scanning is challenging in the field of network measurement as it requires exploring the whole IPv6 address space but limited by current computational power.
no code implementations • 17 Jul 2020 • Vinay Kothapally, Wei Xia, Shahram Ghorbani, John H. L. Hansen, Wei Xue, Jing Huang
The reliability of using fully convolutional networks (FCNs) has been successfully demonstrated by recent studies in many speech applications.
1 code implementation • ECCV 2020 • Guha Balakrishnan, Yuanjun Xiong, Wei Xia, Pietro Perona
To address this problem we develop an experimental method for measuring algorithmic bias of face analysis algorithms, which manipulates directly the attributes of interest, e. g., gender and skin tone, in order to reveal causal links between attribute variation and performance change.
no code implementations • 11 Jun 2020 • Xiang Xu, Yuanjun Xiong, Wei Xia
In this paper, we focus on improving the online face liveness detection system to enhance the security of the downstream face recognition system.
Ranked #4 on Face Anti-Spoofing on SiW (Protocol 3)
3 code implementations • CVPR 2020 • Yantao Shen, Yuanjun Xiong, Wei Xia, Stefano Soatto
Backward compatibility is critical to quickly deploy new embedding models that leverage ever-growing large-scale training datasets and improvements in deep learning architectures and training methods.
no code implementations • 5 Aug 2019 • Wei Xia, Jing Huang, John H. L. Hansen
Speaker verification systems often degrade significantly when there is a language mismatch between training and testing data.
no code implementations • 4 Aug 2019 • Wei Xia, Kazuhito Koishida
In this study, we introduce a convolutional time-frequency-channel "Squeeze and Excitation" (tfc-SE) module to explicitly model inter-dependencies between the time-frequency domain and multiple channels.
1 code implementation • 24 Jul 2019 • Chenglong Li, Wei Xia, Yan Yan, Bin Luo, Jin Tang
These advantages of thermal infrared cameras make the segmentation of semantic objects in day and night.
1 code implementation • 17 Jun 2019 • Clint P. George, Wei Xia, George Michailidis
The usability study on some real-world corpora illustrates the superiority of cLDA to explore the underlying topics automatically but also model their connections and variations across multiple collections.
no code implementations • 19 Feb 2019 • Chen Change Loy, Dahua Lin, Wanli Ouyang, Yuanjun Xiong, Shuo Yang, Qingqiu Huang, Dongzhan Zhou, Wei Xia, Quanquan Li, Ping Luo, Junjie Yan, Jian-Feng Wang, Zuoxin Li, Ye Yuan, Boxun Li, Shuai Shao, Gang Yu, Fangyun Wei, Xiang Ming, Dong Chen, Shifeng Zhang, Cheng Chi, Zhen Lei, Stan Z. Li, Hongkai Zhang, Bingpeng Ma, Hong Chang, Shiguang Shan, Xilin Chen, Wu Liu, Boyan Zhou, Huaxiong Li, Peng Cheng, Tao Mei, Artem Kukharenko, Artem Vasenin, Nikolay Sergievskiy, Hua Yang, Liangqi Li, Qiling Xu, Yuan Hong, Lin Chen, Mingjun Sun, Yirong Mao, Shiying Luo, Yongjun Li, Ruiping Wang, Qiaokang Xie, Ziyang Wu, Lei Lu, Yiheng Liu, Wengang Zhou
This paper presents a review of the 2018 WIDER Challenge on Face and Pedestrian.
no code implementations • 10 May 2018 • Wei Xia, Roland H. C. Yap
However, choosing or designing a good search heuristic is non-trivial and is often a manual process.
no code implementations • 6 May 2018 • Ruiwei Wang, Wei Xia, Roland H. C. Yap
We evaluate our correlation heuristics with well known heuristics, namely, dom/wdeg, impact-based search and activity-based search.
no code implementations • 22 Jun 2014 • Yunchao Wei, Wei Xia, Junshi Huang, Bingbing Ni, Jian Dong, Yao Zhao, Shuicheng Yan
Convolutional Neural Network (CNN) has demonstrated promising performance in single-label image classification tasks.
no code implementations • CVPR 2013 • Jian Dong, Wei Xia, Qiang Chen, Jianshi Feng, Zhongyang Huang, Shuicheng Yan
In this paper, we introduce a subcategory-aware object classification framework to boost category level object classification performance.