no code implementations • 3 Feb 2025 • Zilong Wang, Zhiyang Dou, YuAn Liu, Cheng Lin, Xiao Dong, Yunhui Guo, Chenxu Zhang, Xin Li, Wenping Wang, Xiaohu Guo
In this paper, we present WonderHuman to reconstruct dynamic human avatars from a monocular video for high-fidelity novel view synthesis.
no code implementations • 13 Jan 2025 • Sen Peng, Weixing Xie, Zilong Wang, Xiaohu Guo, Zhonggui Chen, Baorong Yang, Xiao Dong
We introduce RMAvatar, a novel human avatar representation with Gaussian splatting embedded on mesh to learn clothed avatar from a monocular video.
no code implementations • 7 Jan 2025 • Xudong Liao, Yijun Sun, Han Tian, Xinchen Wan, Yilun Jin, Zilong Wang, Zhenghang Ren, Xinyang Huang, Wenxue Li, Kin Fai Tse, Zhizhen Zhong, Guyue Liu, Ying Zhang, Xiaofeng Ye, Yiming Zhang, Kai Chen
Mixture-of-Expert (MoE) models outperform conventional models by selectively activating different subnets, named \emph{experts}, on a per-token basis.
no code implementations • 25 Oct 2024 • Zilong Wang, Nan Chen, Luna K. Qiu, Ling Yue, Geli Guo, Yang Ou, Shiqi Jiang, Yuqing Yang, Lili Qiu
In recent years, the rapid aging of the global population has led to an increase in cognitive disorders, such as Alzheimer's disease, presenting significant public health challenges.
1 code implementation • 17 Oct 2024 • Ruohan Wang, Zilong Wang, Ziyang Song, David Buckeridge, Yue Li
Specifically, MixEHR-Nest detects multiple subtopics from each phenotype topic, whose prior is guided by the expert-curated phenotype concepts such as Phenotype Codes (PheCodes) or Clinical Classification Software (CCS) codes.
no code implementations • 9 Oct 2024 • Junjie Chen, Qian Chen, Jian Lou, XiaoYu Zhang, Kai Wu, Zilong Wang
Machine unlearning (MU) is becoming a promising paradigm to achieve the "right to be forgotten", where the training trace of any chosen data points could be eliminated, while maintaining the model utility on general testing samples after unlearning.
1 code implementation • 7 Oct 2024 • Si-An Chen, Lesly Miculicich, Julian Martin Eisenschlos, Zifeng Wang, Zilong Wang, Yanfei Chen, Yasuhisa Fujii, Hsuan-Tien Lin, Chen-Yu Lee, Tomas Pfister
Recent advancements in language models (LMs) have notably enhanced their ability to reason with tabular data, primarily through program-aided mechanisms that manipulate and analyze tables.
no code implementations • 23 Sep 2024 • Siyun Zhao, Yuqing Yang, Zilong Wang, Zhiyuan He, Luna K. Qiu, Lili Qiu
In this survey, we propose a RAG task categorization method, classifying user queries into four levels based on the type of external data required and primary focus of the task: explicit fact queries, implicit fact queries, interpretable rationale queries, and hidden rationale queries.
no code implementations • 20 Sep 2024 • Zilong Wang, Cheng Zhang, Changwei Zhang, Yongming Huang
In this letter, the maximization of resistible jamming power is studied for multi-user downlink millimeter-wave cell-free multiple-input-multiple-output (CF-MIMO) systems.
no code implementations • 7 Aug 2024 • Jiahao Zhang, Zilong Wang, Ruofan Wang, Xingjun Ma, Yu-Gang Jiang
As Large Language Models (LLMs) are increasingly being deployed in safety-critical applications, their vulnerability to potential jailbreaks -- malicious prompts that can disable the safety mechanism of LLMs -- has attracted growing research attention.
1 code implementation • 26 Jul 2024 • Zilong Wang, Yuedong Cui, Li Zhong, Zimin Zhang, Da Yin, Bill Yuchen Lin, Jingbo Shang
Office automation significantly enhances human productivity by automatically finishing routine tasks in the workflow.
no code implementations • 11 Jul 2024 • Zilong Wang, Zifeng Wang, Long Le, Huaixiu Steven Zheng, Swaroop Mishra, Vincent Perot, Yuwei Zhang, Anush Mattapalli, Ankur Taly, Jingbo Shang, Chen-Yu Lee, Tomas Pfister
Retrieval augmented generation (RAG) combines the generative abilities of large language models (LLMs) with external knowledge sources to provide more accurate and up-to-date responses.
2 code implementations • 20 Jun 2024 • Chen Liu, Ke Xu, Liangbo L. Shen, Guillaume Huguet, Zilong Wang, Alexander Tong, Danilo Bzdok, Jay Stewart, Jay C. Wang, Lucian V. Del Priore, Smita Krishnaswamy
We validate ImageFlowNet on three longitudinal medical image datasets depicting progression in geographic atrophy, multiple sclerosis, and glioblastoma, demonstrating its ability to effectively forecast disease progression and outperform existing methods.
no code implementations • 17 Apr 2024 • Zhiyuan He, Huiqiang Jiang, Zilong Wang, Yuqing Yang, Luna Qiu, Lili Qiu
Position engineering thus represents a promising new strategy for exploiting the capabilities of large language models.
no code implementations • 1 Apr 2024 • Zilong Wang, Xufang Luo, Xinyang Jiang, Dongsheng Li, Lili Qiu
This study proposes a novel evaluation framework using large language models (LLMs) to compare radiology reports for assessment.
1 code implementation • 30 Mar 2024 • Letian Peng, Zilong Wang, Feng Yao, Zihan Wang, Jingbo Shang
We construct the distillation dataset via sampling sentences from language model pre-training datasets (e. g., OpenWebText in our implementation) and prompting an LLM to identify the typed spans of "important information".
no code implementations • 30 Mar 2024 • Alex Nguyen, Zilong Wang, Jingbo Shang, Dheeraj Mekala
The application of natural language processing models to PDF documents is pivotal for various business applications yet the challenge of training models for this purpose persists in businesses due to specific hurdles.
1 code implementation • 25 Feb 2024 • Li Zhong, Zilong Wang, Jingbo Shang
Large language models (LLMs) are leading significant progress in code generation.
Ranked #1 on
Code Generation
on HumanEval
1 code implementation • 15 Feb 2024 • Letian Peng, Yuwei Zhang, Zilong Wang, Jayanth Srinivasa, Gaowen Liu, Zihan Wang, Jingbo Shang
This work aims to build a text embedder that can capture characteristics of texts specified by user instructions.
no code implementations • 13 Feb 2024 • Xiaoqiang Liu, Yubin Wang, Zicheng Huang, Boming Xu, Yilin Zeng, Xinqi Chen, Zilong Wang, Enning Yang, Xiaoxuan Lei, Yisen Huang, Xiaobo Liu
This study aims to assess the accuracy and consistency of ChatGPT in using the Boston Bowel Preparation Scale (BBPS) for colonoscopy assessment.
1 code implementation • 9 Jan 2024 • Zilong Wang, Hao Zhang, Chun-Liang Li, Julian Martin Eisenschlos, Vincent Perot, Zifeng Wang, Lesly Miculicich, Yasuhisa Fujii, Jingbo Shang, Chen-Yu Lee, Tomas Pfister
We propose the Chain-of-Table framework, where tabular data is explicitly used in the reasoning chain as a proxy for intermediate thoughts.
Ranked #4 on
Table-based Fact Verification
on TabFact
no code implementations • 27 Dec 2023 • Jingqi Niu, Qinji Yu, Shiwen Dong, Zilong Wang, Kang Dang, Xiaowei Ding
Detecting anomalies in fundus images through unsupervised methods is a challenging task due to the similarity between normal and abnormal tissues, as well as their indistinct boundaries.
1 code implementation • 7 Dec 2023 • Zhaowei She, Zilong Wang, Jagpreet Chhatwal, Turgay Ayer
Furthermore, we conducted a case study based on outbreak case data from the state of Colorado and showed that the timely detection of outbreaks could have been improved by up to 224% using TLGRF when compared to the decisions made by Colorado's Department of Health and Environment (CDPHE).
1 code implementation • 7 Nov 2023 • Wenjun Peng, Guiyang Li, Yue Jiang, Zilong Wang, Dan Ou, Xiaoyi Zeng, Derong Xu, Tong Xu, Enhong Chen
In the realm of e-commerce search, the significance of semantic matching cannot be overstated, as it directly impacts both user experience and company revenue.
1 code implementation • 3 Nov 2023 • Letian Peng, Zilong Wang, Hang Liu, Zihan Wang, Jingbo Shang
With the rapid development of the internet, online social media welcomes people with different backgrounds through its diverse content.
no code implementations • 13 Oct 2023 • Qian Chen, Zilong Wang, Jiaqi Hu, Haonan Yan, Jianying Zhou, Xiaodong Lin
Federated learning (FL) is becoming a major driving force behind machine learning as a service, where customers (clients) collaboratively benefit from shared local updates under the orchestration of the service provider (server).
no code implementations • 19 Sep 2023 • Vincent Perot, Kai Kang, Florian Luisier, Guolong Su, Xiaoyu Sun, Ramya Sree Boppana, Zilong Wang, Zifeng Wang, Jiaqi Mu, Hao Zhang, Chen-Yu Lee, Nan Hua
The main obstacles to adopting LLMs for this task include the absence of layout encoding within LLMs, which is critical for high quality extraction, and the lack of a grounding mechanism to localize the predicted entities within the document.
1 code implementation • 20 Aug 2023 • Li Zhong, Zilong Wang
Existing code evaluation benchmark and datasets focus on crafting small tasks such as programming questions in coding interviews, which however deviates from the problem that developers would ask LLM for real-world coding help.
1 code implementation • 24 May 2023 • Prashant Krishnan, Zilong Wang, Yangkun Wang, Jingbo Shang
Recent advances of incorporating layout information, typically bounding box coordinates, into pre-trained language models have achieved significant performance in entity recognition from document images.
no code implementations • 23 May 2023 • Zilong Wang, Jingbo Shang
In this paper, we propose a new approach, ReXMiner, for zero-shot relation extraction in web mining.
no code implementations • 6 May 2023 • Zilong Wang, Thomas R. Shultz, Ardvan S. Nobandegani
Recent empirical work has shown that human children are adept at learning and reasoning with probabilities.
no code implementations • 10 Apr 2023 • Xiaoyang Zheng, Fuyu Lv, Zilong Wang, Qingwen Liu, Xiaoyi Zeng
E-commerce search engines comprise a retrieval phase and a ranking phase, where the first one returns a candidate product set given user queries.
no code implementations • 8 Apr 2023 • Xiaonan Nie, Xupeng Miao, Zilong Wang, Zichao Yang, Jilong Xue, Lingxiao Ma, Gang Cao, Bin Cui
We first present an empirical analysis on the problems and opportunities of training MoE models, which motivates us to overcome the routing imbalance and fluctuation problems by a dynamic expert management and device placement mechanism.
no code implementations • 14 Feb 2023 • Sifan Song, Jinfeng Wang, Zilong Wang, Hongxing Wang, Jionglong Su, Xiaowei Ding, Kang Dang
Accurate fovea localization is essential for analyzing retinal diseases to prevent irreversible vision loss.
no code implementations • 30 Jan 2023 • Xiaoyang Zheng, Zilong Wang, Ke Xu, Sen Li, Tao Zhuang, Qingwen Liu, Xiaoyi Zeng
Given a user query, the retrieval phase returns a subset of candidate products for the following ranking phase.
no code implementations • 27 Jan 2023 • Liu Zhang, Jinyu Lu, Zilong Wang, Chao Li
Inspired by this framework, we develop the Inception neural network that is compatible with the round function of Simeck to improve the accuracy of the neural distinguishers, thus improving the accuracy of (9-12)-round neural distinguishers for Simeck32/64.
1 code implementation • ICCV 2023 • Yulin Jin, XiaoYu Zhang, Jian Lou, Xu Ma, Zilong Wang, Xiaofeng Chen
The experimental evaluations manifest the superiority of SAT over other state-of-the-art AT mechanisms in defending against adversarial attacks against both output and intermediate layers.
no code implementations • 5 Dec 2022 • Zhangjian Ji, Zilong Wang, Ming Zhang, Yapeng Chen, Yuhua Qian
Recently, human pose estimation mainly focuses on how to design a more effective and better deep network structure as human features extractor, and most designed feature extraction networks only introduce the position of each anatomical keypoint to guide their training process.
no code implementations • 27 Nov 2022 • Zilong Wang, Jiuxiang Gu, Chris Tensmeyer, Nikolaos Barmpalios, Ani Nenkova, Tong Sun, Jingbo Shang, Vlad I. Morariu
In contrast, region-level models attempt to encode regions corresponding to paragraphs or text blocks into a single embedding, but they perform worse with additional word-level features.
no code implementations • 15 Nov 2022 • Zilong Wang, Yichao Zhou, Wei Wei, Chen-Yu Lee, Sandeep Tata
Understanding visually-rich business documents to extract structured data and automate business workflows has been receiving attention both in academia and industry.
no code implementations • 13 Oct 2022 • Thomas R. Shultz, Ardavan S. Nobandegani, Zilong Wang
We propose a relatively simple computational neural-network model of number comparison.
2 code implementations • 7 Jun 2022 • Changho Hwang, Wei Cui, Yifan Xiong, Ziyue Yang, Ze Liu, Han Hu, Zilong Wang, Rafael Salas, Jithin Jose, Prabhat Ram, Joe Chau, Peng Cheng, Fan Yang, Mao Yang, Yongqiang Xiong
On efficiency, Flex accelerates SwinV2-MoE, achieving up to 1. 55x and 2. 11x speedup in training and inference over Fairseq, respectively.
1 code implementation • 24 May 2022 • Zihan Wang, Kewen Zhao, Zilong Wang, Jingbo Shang
Fine-tuning pre-trained language models has recently become a common practice in building NLP models for various tasks, especially few-shot tasks.
1 code implementation • Findings (ACL) 2022 • Zilong Wang, Jingbo Shang
To overcome the data limitation, we propose to leverage the label surface names to better inform the model of the target entity type semantics and also embed the labels into the spatial embedding space to capture the spatial correspondence between regions and labels.
no code implementations • 28 Feb 2022 • Qiping Fang, Zilong Wang
In this paper, a simple construction of interference-free zero correlation zone (IF-ZCZ) sequence sets is proposed by well designed finite Zak transform lattice tessellation.
no code implementations • 19 Oct 2021 • Sifan Song, Kang Dang, Qinji Yu, Zilong Wang, Frans Coenen, Jionglong Su, Xiaowei Ding
The fovea is an important anatomical landmark of the retina.
1 code implementation • EMNLP 2021 • Zilong Wang, Yiheng Xu, Lei Cui, Jingbo Shang, Furu Wei
Reading order detection is the cornerstone to understanding visually-rich documents (e. g., receipts and forms).
Ranked #2 on
Reading Order Detection
on ReadingBank
Document Layout Analysis
Optical Character Recognition (OCR)
+1
no code implementations • 10 May 2021 • Zilong Wang, Mingjie Zhan, Houxing Ren, Zhaohui Hou, Yuwei Wu, Xingyan Zhang, Ding Liang
Forms are a common type of document in real life and carry rich information through textual contents and the organizational structure.
no code implementations • 1 Dec 2020 • Alfonso Ortega, Julian Fierrez, Aythami Morales, Zilong Wang, Tony Ribeiro
Machine learning methods are growing in relevance for biometrics and personal information processing in domains such as forensics, e-health, recruitment, and e-learning.
BIG-bench Machine Learning
Explainable Artificial Intelligence (XAI)
+1
1 code implementation • 31 Oct 2020 • Zhaowei She, Zilong Wang, Turgay Ayer, Asmae Toumi, Jagpreet Chhatwal
Rapid and accurate detection of community outbreaks is critical to address the threat of resurgent waves of COVID-19.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Zilong Wang, Mingjie Zhan, Xuebo Liu, Ding Liang
The table detection and handcrafted features in previous works cannot apply to all forms because of their requirements on formats.
1 code implementation • EMNLP 2020 • Jie Huang, Zilong Wang, Kevin Chen-Chuan Chang, Wen-mei Hwu, JinJun Xiong
We introduce and study semantic capacity of terms.
no code implementations • 7 Sep 2020 • Zilong Wang, Zhaohong Wan, Xiaojun Wan
Enlightened by recent success of Transformer in the area of machine translation, we propose a new fusion method, TransModality, to address the task of multimodal sentiment analysis.
Ranked #1 on
Multimodal Sentiment Analysis
on CMU-MOSI
(F1-score (Weighted) metric)