1 code implementation • Findings (EMNLP) 2021 • Yang Zhong, Jingfeng Yang, Wei Xu, Diyi Yang
Biases continue to be prevalent in modern text and media, especially subjective bias – a special type of bias that introduces improper attitudes or presents a statement with the presupposition of truth.
no code implementations • 21 May 2024 • Govind Ramesh, Yao Dou, Wei Xu
Research on jailbreaking has been valuable for testing and understanding the safety and security issues of large language models (LLMs).
no code implementations • 3 May 2024 • Chao Jiang, Wei Xu
Medical texts are notoriously challenging to read.
no code implementations • 26 Apr 2024 • Wei Xu, Jianlong Chen, Zhicheng Ding, Jinyin Wang
This paper explores the importance of text sentiment analysis and classification in the field of natural language processing, and proposes a new approach to sentiment analysis and classification based on the bidirectional gated recurrent units (GRUs) model.
no code implementations • 16 Apr 2024 • Yongming Huang, Xiaohu You, Hang Zhan, Shiwen He, Ningning Fu, Wei Xu
In this paper, we propose a solution, termed the pervasive multi-level (PML) native AI architecture, which integrates the concept of knowledge graph (KG) into the intelligent operational manipulations of mobile networks, resulting in the establishment of a wireless data KG.
1 code implementation • 11 Apr 2024 • Yi Sun, Hong Shen, Bingqing Li, Wei Xu, Pengcheng Zhu, Nan Hu, Chunming Zhao
The receiver design for multi-input multi-output (MIMO) ultra-reliable and low-latency communication (URLLC) systems can be a tough task due to the use of short channel codes and few pilot symbols.
no code implementations • 9 Apr 2024 • Wei Xu, Derek Freeman DeSantis, Xihaier Luo, Avish Parmar, Klaus Tan, Balu Nadiga, Yihui Ren, Shinjae Yoo
Learning a continuous and reliable representation of physical fields from sparse sampling is challenging and it affects diverse scientific disciplines.
1 code implementation • 25 Mar 2024 • Wei Xu, Junjie Luo, Qi Guo
We present CT-Bound, a fast boundary estimation method for noisy images using a hybrid Convolution and Transformer neural network.
no code implementations • 20 Mar 2024 • Yifan Wu, Jiawei Du, Ping Liu, Yuewei Lin, Wenqing Cheng, Wei Xu
Dataset distillation is an advanced technique aimed at compressing datasets into significantly smaller counterparts, while preserving formidable training performance.
no code implementations • 13 Mar 2024 • Rongwu Xu, Zehan Qi, Cunxiang Wang, Hongru Wang, Yue Zhang, Wei Xu
This survey provides an in-depth analysis of knowledge conflicts for large language models (LLMs), highlighting the complex challenges they encounter when blending contextual and parametric knowledge.
1 code implementation • 11 Mar 2024 • Jianxun Lian, Yuxuan Lei, Xu Huang, Jing Yao, Wei Xu, Xing Xie
This paper introduces RecAI, a practical toolkit designed to augment or even revolutionize recommender systems with the advanced capabilities of Large Language Models (LLMs).
1 code implementation • 3 Mar 2024 • Xin Zhou, Dingkang Liang, Wei Xu, Xingkui Zhu, Yihan Xu, Zhikang Zou, Xiang Bai
To achieve this goal, we freeze the parameters of the default pre-trained models and then propose the Dynamic Adapter, which generates a dynamic scale for each token, considering the token significance to the downstream task.
no code implementations • 2 Mar 2024 • Wei Xu, Yi Wan
The attention mechanism has gained significant recognition in the field of computer vision due to its ability to effectively enhance the performance of deep neural networks.
no code implementations • 19 Feb 2024 • Jonathan Zheng, Alan Ritter, Wei Xu
The performance of Large Language Models (LLMs) degrades from the temporal drift between data used for model training and newer text seen during inference.
1 code implementation • 18 Feb 2024 • Sebastian Antony Joseph, Lily Chen, Jan Trienes, Hannah Louisa Göke, Monika Coers, Wei Xu, Byron C Wallace, Junyi Jessy Li
But how factual are these summaries in a high-stakes domain like medicine?
1 code implementation • 16 Feb 2024 • Dingkang Liang, Xin Zhou, Wei Xu, Xingkui Zhu, Zhikang Zou, Xiaoqing Ye, Xiao Tan, Xiang Bai
Unlike traditional Transformers, PointMamba employs a linear complexity algorithm, presenting global modeling capacity while significantly reducing computational costs.
no code implementations • 15 Feb 2024 • Jiacheng Yao, Wei Xu, Zhaohui Yang, Xiaohu You, Mehdi Bennis, H. Vincent Poor
In this paper, we quantitatively compare these two effective communication schemes, i. e., digital and analog ones, for wireless federated learning (FL) over resource-constrained networks, highlighting their essential differences as well as their respective application scenarios.
no code implementations • 12 Feb 2024 • Wei Xu, An Liu, Yiting Zhang, Vincent Lau
In this work, we propose a message passing based Bayesian federated learning (BFL) framework to avoid these drawbacks. Specifically, we formulate the problem of deep neural network (DNN) learning and compression and as a sparse Bayesian inference problem, in which group sparse prior is employed to achieve structured model compression.
no code implementations • 10 Feb 2024 • Yuxin Ren, Qiya Yang, Yichun Wu, Wei Xu, Yalong Wang, Zhiqiang Zhang
The generator is of vital importance, and generative models are well-suited for the generator function.
no code implementations • 6 Feb 2024 • Anton Lavrouk, Ian Ligon, Tarek Naous, Jonathan Zheng, Alan Ritter, Wei Xu
The Stanceosaurus corpus (Zheng et al., 2022) was designed to provide high-quality, annotated, 5-way stance data extracted from Twitter, suitable for analyzing cross-cultural and cross-lingual misinformation.
1 code implementation • 5 Feb 2024 • Duong Minh Le, Yang Chen, Alan Ritter, Wei Xu
Therefore, it is common to exploit translation and label projection to further improve the performance by (1) translating training data that is available in a high-resource language (e. g., English) together with the gold labels into low-resource languages, and/or (2) translating test data in low-resource languages to a high-source language to run inference on, then projecting the predicted span-level labels back onto the original test data.
no code implementations • 4 Feb 2024 • Wuxuan Jiang, Xiangjun Song, Shenbai Hong, Haijun Zhang, Wenxin Liu, Bo Zhao, Wei Xu, Yi Li
Accuracy and efficiency remain challenges for multi-party computation (MPC) frameworks.
1 code implementation • 29 Jan 2024 • Jan Trienes, Sebastian Joseph, Jörg Schlötterer, Christin Seifert, Kyle Lo, Wei Xu, Byron C. Wallace, Junyi Jessy Li
Text simplification aims to make technical texts more accessible to laypeople but often results in deletion of information and vagueness.
no code implementations • 21 Jan 2024 • Xihaier Luo, Wei Xu, Yihui Ren, Shinjae Yoo, Balu Nadiga
Reliably reconstructing physical fields from sparse sensor data is a challenge that frequently arises in many scientific domains.
1 code implementation • 20 Jan 2024 • Haonan Yu, Wei Xu
Unsupervised video object learning seeks to decompose video scenes into structural object representations without any supervision from depth, optical flow, or segmentation.
1 code implementation • 11 Jan 2024 • Zhen Tao, Dinghao Xi, Zhiyu Li, Liumin Tang, Wei Xu
Text style transfer is increasingly prominent in online entertainment and social media.
1 code implementation • 4 Jan 2024 • Jiacheng Wang, Ping Liu, Wei Xu
Existing text-to-image editing methods tend to excel either in rigid or non-rigid editing but encounter challenges when combining both, resulting in misaligned outputs with the provided text prompts.
no code implementations • 27 Dec 2023 • Lixiang Xu, Qingzhe Cui, Richang Hong, Wei Xu, Enhong Chen, Xin Yuan, Chenglong Li, Yuanyan Tang
The large model GMViT achieves excellent 3D classification and retrieval results on the benchmark datasets ModelNet, ShapeNetCore55, and MCB.
no code implementations • 14 Dec 2023 • Rongwu Xu, Brian S. Lin, Shujian Yang, Tianqi Zhang, Weiyan Shi, Tianwei Zhang, Zhixuan Fang, Wei Xu, Han Qiu
Therefore, in this study, we delve into LLMs' susceptibility to persuasive conversations, particularly on factual questions that they can answer correctly.
no code implementations • 14 Dec 2023 • Ulrich Horst, Wei Xu, Rouyi Zhang
We establish the weak convergence of the intensity of a nearly-unstable Hawkes process with heavy-tailed kernel.
no code implementations • 29 Nov 2023 • Zhenyu Tao, Wei Xu, Yongming Huang, XiaoYun Wang, Xiaohu You
Digital twin, which enables emulation, evaluation, and optimization of physical entities through synchronized digital replicas, has gained increasingly attention as a promising technology for intricate wireless networks.
no code implementations • 27 Nov 2023 • Wei Xu, Zaifeng Gao, Marvin Dainoff
This paper also presents a "three-layer" approach to facilitate the implementation of the framework.
no code implementations • 16 Nov 2023 • Yao Dou, Isadora Krsek, Tarek Naous, Anubha Kabra, Sauvik Das, Alan Ritter, Wei Xu
Motivated by the user feedback, we introduce the task of self-disclosure abstraction, which is paraphrasing disclosures into less specific terms while preserving their utility, e. g., "Im 16F" to "I'm a teenage girl".
no code implementations • 16 Nov 2023 • Jing Yao, Wei Xu, Jianxun Lian, Xiting Wang, Xiaoyuan Yi, Xing Xie
In this paper, we propose a general paradigm that augments LLMs with DOmain-specific KnowledgE to enhance their performance on practical applications, namely DOKE.
no code implementations • 12 Nov 2023 • Wei Xu, Zaifeng Gao
Human-centered AI (HCAI) is a design philosophy that advocates prioritizing humans in designing, developing, and deploying intelligent systems, aiming to maximize the benefits of AI to humans and avoid potential adverse impacts.
1 code implementation • 18 Oct 2023 • Shaoxiong Duan, Yining Shi, Wei Xu
We then introduce Attention Bias Calibration (ABC), a calibration stage that enables the model to automatically learn the proper attention biases, which we show to be connected to mechanisms in relative position encoding.
no code implementations • 11 Oct 2023 • Han Zhang, Xumeng Wen, Shun Zheng, Wei Xu, Jiang Bian
Despite considerable efforts in developing effective learning models for tabular data, current transferable tabular models remain in their infancy, limited by either the lack of support for direct instruction following in new tasks or the neglect of acquiring foundational knowledge and capabilities from diverse tabular datasets.
no code implementations • 8 Oct 2023 • Han Zhang, Yuqi Li, Shun Zheng, Ziheng Lu, Xiaofan Gui, Wei Xu, Jiang Bian
Here we introduce a universal deep learning approach that is capable of accommodating various aging conditions and facilitating effective learning under low-resource conditions by leveraging data from rich conditions.
no code implementations • 7 Oct 2023 • Zhenyu Tao, Wei Xu, Xiaohu You
The proliferation of diverse wireless services in 5G and beyond has led to the emergence of network slicing technologies.
no code implementations • 5 Oct 2023 • Yao Dou, Philippe Laban, Claire Gardent, Wei Xu
In this tutorial, we focus on text-to-text generation, a class of natural language generation (NLG) tasks, that takes a piece of text as input and then generates a revision that is improved according to some specific criteria (e. g., readability or linguistic styles), while largely retaining the original meaning and the length of the text.
no code implementations • 3 Oct 2023 • Yang Chen, Ethan Mendes, Sauvik Das, Wei Xu, Alan Ritter
While data leaks should be prevented, it is also crucial to examine the trade-off between the privacy protection and model utility of proposed approaches.
no code implementations • 31 Aug 2023 • Qi Gao, Wei Xu, Mowei Shen, Zaifeng Gao
To this end, we provide a review of leading SA theoretical models and a new framework for SA in the HAT context based on the key features and processes of HAT.
1 code implementation • 14 Aug 2023 • David Heineman, Yao Dou, Wei Xu
Additionally, we introduce a Python library to streamline the entire process from typology design and deployment to annotation processing.
no code implementations • 24 Jul 2023 • Yi Sun, Hong Shen, Wei Xu, Nan Hu, Chunming Zhao
Furthermore, a robust detection network RADMMNet is constructed by unfolding the ADMM iterations and employing both model-driven and data-driven philosophies.
no code implementations • 8 Jul 2023 • Wei Xu, Zaifeng Gao
Insights: AI has led to the emergence of a new form of human-machine relationship: human-AI teaming (HAT), a paradigmatic shift in human-AI systems; We must follow a human-centered AI (HCAI) approach when applying HAT as a new design paradigm; We propose a conceptual framework of human-AI joint cognitive systems (HAIJCS) to represent and implement HAT for developing effective human-AI teaming
no code implementations • 26 Jun 2023 • Yihan Hu, Kun Li, Pingyuan Liang, Jingyu Qian, Zhening Yang, Haichao Zhang, Wenxin Shao, Zhuangzhuang Ding, Wei Xu, Qiang Liu
This paper presents our 2nd place solution for the NuPlan Challenge 2023.
no code implementations • 5 Jun 2023 • Yao Tang, Guangxu Zhu, Wei Xu, Man Hon Cheung, Tat-Ming Lok, Shuguang Cui
Unmanned Aerial Vehicle (UAV)-mounted edge devices are particularly advantageous for FEEL due to their flexibility and mobility in efficient data collection.
no code implementations • 2 Jun 2023 • Lingfeng Sun, Haichao Zhang, Wei Xu, Masayoshi Tomizuka
In this work, we investigate the potential of improving multi-task training and also leveraging it for transferring in the reinforcement learning setting.
no code implementations • 30 May 2023 • Huahui Yi, Ziyuan Qin, Wei Xu, Miaotian Guo, Kun Wang, Shaoting Zhang, Kang Li, Qicheng Lao
To achieve this, we propose a Concept Embedding Search (ConES) approach by optimizing prompt embeddings -- without the need of the text encoder -- to capture the 'concept' of the image modality through a variety of task objectives.
1 code implementation • 26 May 2023 • Duong Minh Le, Ruohao Guo, Wei Xu, Alan Ritter
In this paper, we study the task of instructional dialogue and focus on the cooking domain.
1 code implementation • 25 May 2023 • Michael J. Ryan, Tarek Naous, Wei Xu
However, less work has been done on multilingual text simplification due to the lack of a diverse evaluation benchmark that covers complex-simple sentence pairs in many languages.
Ranked #1 on Text Simplification on WikiLargeFR
no code implementations • 24 May 2023 • Ruohao Guo, Wei Xu, Alan Ritter
Style is used to convey authors' intentions and attitudes.
no code implementations • 23 May 2023 • Tarek Naous, Michael J. Ryan, Alan Ritter, Wei Xu
In this paper, we show that multilingual and Arabic monolingual LMs exhibit bias towards entities associated with Western culture.
no code implementations • 23 May 2023 • David Heineman, Yao Dou, Mounica Maddela, Wei Xu
Large language models (e. g., GPT-4) are uniquely capable of producing highly rated text simplification, yet current human evaluation methods fail to provide a clear understanding of systems' specific strengths and weaknesses.
1 code implementation • 23 May 2023 • Tarek Naous, Michael J. Ryan, Anton Lavrouk, Mohit Chandra, Wei Xu
We present a systematic study and comprehensive evaluation of large language models for automatic multilingual readability assessment.
1 code implementation • 21 May 2023 • Renliang Sun, Wei Xu, Xiaojun Wan
In this paper, we propose a new continued pre-training strategy to teach the pre-trained model to generate simple texts.
1 code implementation • 21 May 2023 • Sebastian Joseph, Kathryn Kazanas, Keziah Reina, Vishnesh J. Ramanathan, Wei Xu, Byron C. Wallace, Junyi Jessy Li
This work addresses this limitation via multilingual simplification, i. e., directly simplifying complex texts into simplified texts in multiple languages.
no code implementations • 12 May 2023 • Senthil Kumar Jagatheesaperumal, Zhaohui Yang, Qianqian Yang, Chongwen Huang, Wei Xu, Mohammad Shikh-Bahaei, Zhaoyang Zhang
To facilitate the deployment of digital twins in Metaverse, the paradigm with semantic awareness has been proposed as a means for enabling accurate and task-oriented information extraction with inherent intelligence.
no code implementations • 2 May 2023 • Junmo Kang, Wei Xu, Alan Ritter
Fine-tuning large models is highly effective, however, inference can be expensive and produces carbon emissions.
no code implementations • 30 Apr 2023 • Ziqing Yin, Renjie Xie, Wei Xu, Zhaohui Yang, Xiaohu You
The proposed SD-CsiNet projects the raw CSI onto a self-information matrix in the newly-defined self-information domain, extracts both temporal and spatial features of the self-information matrix, and then couples these two features for effective compression.
no code implementations • 25 Apr 2023 • Jiacheng Wang, Ping Liu, Jingen Liu, Wei Xu
To address these limitations, we propose a Text-guided Eyeglasses Manipulation method that allows for control of the eyeglasses shape and style based on a binary mask and text, respectively.
2 code implementations • CVPR 2023 • Dingkang Liang, Jiahao Xie, Zhikang Zou, Xiaoqing Ye, Wei Xu, Xiang Bai
To the best of our knowledge, CrowdCLIP is the first to investigate the vision language knowledge to solve the counting problem.
Ranked #1 on Cross-Part Crowd Counting on ShanghaiTech B
1 code implementation • 13 Mar 2023 • Jiahao Xie, Wei Xu, Dingkang Liang, Zhanyu Ma, Kongming Liang, Weidong Liu, Rui Wang, Ling Jin
As the proposed method requires SR labels, we further propose a Super-Resolution Crowd Counting dataset (SR-Crowd).
no code implementations • 12 Mar 2023 • Huahui Yi, Ziyuan Qin, Qicheng Lao, Wei Xu, Zekun Jiang, Dequan Wang, Shaoting Zhang, Kang Li
Therefore, in this work, we further explore the possibility of leveraging pre-trained VLMs as medical foundation models for building general-purpose medical AI, where we thoroughly investigate three machine-learning paradigms, i. e., domain/task-specialized learning, joint learning, and continual learning, for training the VLMs and evaluate their generalization performance on cross-domain and cross-task test sets.
no code implementations • 13 Feb 2023 • Wei Xu
The proposal of the "UX 3. 0" paradigm helps improve the existing UX methods and provides methodological support for the research and applications of UX in developing intelligent systems.
no code implementations • 25 Jan 2023 • Jiayuan Chen, Xiang Zhang, Yinfei Xu, Tianli Zhao, Renjie Xie, Wei Xu
Given the fixed point equation (FPE) derived from the variational inference on the Markov random fields, the deep GNNs, including JKNet, GCNII, DGCN, and the classical GNNs, such as GCN, GAT, and APPNP, can be regarded as different approximations of the FPE.
no code implementations • 3 Jan 2023 • Wei Xu
We then discuss how AI technology can be used to enhance HCI/UX design.
no code implementations • ICCV 2023 • Wenshuo Ma, Yidong Li, Xiaofeng Jia, Wei Xu
Visual Transformers (ViTs) and Convolutional Neural Networks (CNNs) are the two primary backbone structures extensively used in various vision tasks.
1 code implementation • 19 Dec 2022 • Mounica Maddela, Yao Dou, David Heineman, Wei Xu
Training learnable metrics using modern language models has recently emerged as a promising method for the automatic evaluation of machine translation.
1 code implementation • 19 Dec 2022 • Ethan Mendes, Yang Chen, Wei Xu, Alan Ritter
We present a human-in-the-loop evaluation framework for fact-checking novel misinformation claims and identifying social media messages that support them.
1 code implementation • 28 Nov 2022 • Yang Chen, Chao Jiang, Alan Ritter, Wei Xu
Translating training data into many languages has emerged as a practical solution for improving cross-lingual transfer.
Ranked #1 on Cross-Lingual NER on MasakhaNER2.0
no code implementations • 28 Oct 2022 • Jonathan Zheng, Ashutosh Baheti, Tarek Naous, Wei Xu, Alan Ritter
We present Stanceosaurus, a new corpus of 28, 033 tweets in English, Hindi, and Arabic annotated with stance towards 251 misinformation claims.
no code implementations • 26 Oct 2022 • Chao Jiang, Wei Xu, Samuel Stevens
We first introduce arXivEdits, a new annotated corpus of 751 full papers from arXiv with gold sentence alignment across their multiple versions of revision, as well as fine-grained span-level edits and their underlying intentions for 1, 000 sentence pairs.
1 code implementation • 21 Oct 2022 • Lingfeng Sun, Haichao Zhang, Wei Xu, Masayoshi Tomizuka
However, the gaps between contents and difficulties of different tasks bring us challenges on both which tasks should share the parameters and what parameters should be shared, as well as the optimization challenges due to parameter sharing.
no code implementations • 6 Oct 2022 • Yao Dou, Chao Jiang, Wei Xu
This paper addresses the quality issues in existing Twitter-based paraphrase datasets, and discusses the necessity of using two separate definitions of paraphrase for identification and generation tasks.
1 code implementation • 17 Aug 2022 • Pradyumna Tambwekar, Lakshita Dodeja, Nathan Vaska, Wei Xu, Matthew Gombolay
Leveraging a game environment, we collect a dataset of over 1000 examples, mapping language strategies to the corresponding goals and constraints, and show that our model, trained on this dataset, significantly outperforms human interpreters in inferring strategic intent (i. e., goals and constraints) from language (p < 0. 05).
no code implementations • 8 Aug 2022 • Haomiao Huo, Jindan Xu, Gege Su, Wei Xu, Ning Wang
By treating K as a variable that can be adjusted according to a fitting function of some learnable coefficients, an intelligent MIMO detection network based on deep neural networks (DNN) is proposed to reduce complexity of the detection algorithm with little performance degradation.
1 code implementation • 4 Aug 2022 • Renjie Xie, Wei Xu, Jiabao Yu, Aiqun Hu, Derrick Wing Kwan Ng, A. Lee Swindlehurst
Deep learning (DL) applied to a device's radio-frequency fingerprint~(RFF) has attracted significant attention in physical-layer authentication due to its extraordinary classification performance.
no code implementations • 8 Jun 2022 • Hongzhi Zhu, Yongliang Guo, Wei Xu, Xiaohu You
In this paper, a new semi-supervised deep multiple-input multiple-output (MIMO) detection approach using a cycle-consistent generative adversarial network (CycleGAN) is proposed for communication systems without any prior knowledge of underlying channel distributions.
1 code implementation • 7 Jun 2022 • Hao Fu, Guotai Wang, Wenhui Lei, Wei Xu, Qianfei Zhao, Shichuan Zhang, Kang Li, Shaoting Zhang
Accurate segmentation of Anatomical brain Barriers to Cancer spread (ABCs) plays an important role for automatic delineation of Clinical Target Volume (CTV) of brain tumors in radiotherapy.
no code implementations • 15 Mar 2022 • Yurong Qian, Jindan Xu, Shuhan Zhu, Wei Xu, Lisheng Fan, George K. Karagiannidis
In this paper, we consider a multiuser mobile edge computing (MEC) system, where a mixed-integer offloading strategy is used to assist the resource assignment for task offloading.
no code implementations • 13 Mar 2022 • Han Zhang, Zihao Zhang, Wenhao Zheng, Wei Xu
A major challenge in image segmentation is classifying object boundaries.
1 code implementation • 26 Feb 2022 • Dingkang Liang, Wei Xu, Xiang Bai
Crowd localization, predicting head positions, is a more practical and high-level task than simply counting.
no code implementations • 23 Feb 2022 • Xihaier Luo, Balasubramanya T. Nadiga, Yihui Ren, Ji Hwan Park, Wei Xu, Shinjae Yoo
Since model bias and associated initialization shock are serious shortcomings that reduce prediction skills in state-of-the-art decadal climate prediction efforts, we pursue a complementary machine-learning-based approach to climate prediction.
no code implementations • 13 Feb 2022 • Qinxun Bai, Steven Rosenberg, Wei Xu
While natural gradients have been widely studied from both theoretical and empirical perspectives, we argue that some fundamental theoretical issues regarding the existence of gradients in infinite dimensional function spaces remain underexplored.
1 code implementation • 28 Jan 2022 • Haonan Yu, Wei Xu, Haichao Zhang
On 12 Safety Gym tasks and 2 safe racing tasks, SEditor obtains much a higher overall safety-weighted-utility (SWU) score than the baselines, and demonstrates outstanding utility performance with constraint violation rates as low as once per 2k time steps, even in obstacle-dense environments.
2 code implementations • 28 Jan 2022 • Haonan Yu, Haichao Zhang, Wei Xu
On the other hand, our large-scale empirical study shows that using entropy regularization alone in policy improvement, leads to comparable or even better performance and robustness than using it in both policy improvement and policy evaluation.
1 code implementation • ICLR 2022 • Haichao Zhang, Wei Xu, Haonan Yu
GPM can therefore leverage its generated multi-step plans for temporally coordinated exploration towards high value regions, which is potentially more effective than a sequence of actions generated by perturbing each action at single step level, whose consistent movement decays exponentially with the number of exploration steps.
no code implementations • 8 Nov 2021 • Wei Xu
With the help of the concept and framework, the paper analyzes the human factors issues in the ecosystem of autonomous vehicle co-driving and proposes an initial human factors solution.
no code implementations • 9 Oct 2021 • Seth Pate, Wei Xu, ZiYi Yang, Maxwell Love, Siddarth Ganguri, Lawson L. S. Wong
To enable robots to instruct humans in collaborations, we identify several aspects of language processing that are not commonly studied in this context.
no code implementations • 29 Sep 2021 • Le Zhao, Wei Xu
In practice, discounted episodic return from the training experience or discounted goal return from hindsight relabeling can serve as the value lower bound when the environment is deterministic.
1 code implementation • EMNLP 2021 • Fan Bai, Alan Ritter, Wei Xu
Our experiments suggest task-specific data annotation should be part of an economical strategy when adapting an NLP model to a new domain.
1 code implementation • EMNLP 2021 • Joongwon Kim, Mounica Maddela, Reno Kriz, Wei Xu, Chris Callison-Burch
We categorize examples in our corpus, and use these categories in a novel model that allows us to target specific regions of the input sentence to be split and edited.
no code implementations • 27 Aug 2021 • Wei Xu, Xihaier Luo, Yihui Ren, Ji Hwan Park, Shinjae Yoo, Balasubramanya T. Nadiga
From the perspective of climate dynamics, these findings suggest a dominant role for local processes and a negligible role for remote teleconnections at the spatial and temporal scales we consider.
1 code implementation • 20 Aug 2021 • Zhengyi Ma, Zhicheng Dou, Wei Xu, Xinyu Zhang, Hao Jiang, Zhao Cao, Ji-Rong Wen
In this paper, we propose to leverage the large-scale hyperlinks and anchor texts to pre-train the language model for ad-hoc retrieval.
1 code implementation • 10 Aug 2021 • Renjie Xie, Wei Xu, Yanzhi Chen, Jiabao Yu, Aiqun Hu, Derrick Wing Kwan Ng, A. Lee Swindlehurst
To enable the discrimination of RFF from both known and unknown devices, we propose a new end-to-end deep learning framework for extracting RFFs from raw received signals.
1 code implementation • 19 Jul 2021 • Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, QinGhua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Ali Al-Ali, Amr Mohamed, Bakour Imene, Bin Dong, Binyu Zhang, Bouchali Hadia Nesma, Chenfeng Xu, Chenzhen Duan, Ciro Castiello, Corrado Mencar, Dingkang Liang, Florian Krüger, Gennaro Vessio, Giovanna Castellano, Jieru Wang, Junyu Gao, Khalid Abualsaud, Laihui Ding, Lei Zhao, Marco Cianciotta, Muhammad Saqib, Noor Almaadeed, Omar Elharrouss, Pei Lyu, Qi Wang, Shidong Liu, Shuang Qiu, Siyang Pan, Somaya Al-Maadeed, Sultan Daud Khan, Tamer Khattab, Tao Han, Thomas Golda, Wei Xu, Xiang Bai, Xiaoqing Xu, Xuelong Li, Yanyun Zhao, Ye Tian, Yingnan Lin, Yongchao Xu, Yuehan Yao, Zhenyu Xu, Zhijian Zhao, Zhipeng Luo, Zhiwei Wei, Zhiyuan Zhao
Crowd counting on the drone platform is an interesting topic in computer vision, which brings new challenges such as small object inference, background clutter and wide viewpoint.
1 code implementation • ACL 2021 • Wuwei Lan, Chao Jiang, Wei Xu
Monolingual word alignment is important for studying fine-grained editing operations (i. e., deletion, addition, and substitution) in text-to-text generation tasks, such as paraphrase generation, text simplification, neutralizing biased language, etc.
no code implementations • 12 May 2021 • Wei Xu, Marvin J. Dainoff, Liezhong Ge, Zaifeng Gao
We propose alternative methods that can help overcome these limitations and effectively help HCI professionals apply the HCAI approach to the development of AI systems.
no code implementations • 9 May 2021 • Guangyan Zhou, Wei Xu
The concept of super solution is a special type of generalized solutions with certain degree of robustness and stability.
1 code implementation • 19 Apr 2021 • Dingkang Liang, Xiwu Chen, Wei Xu, Yu Zhou, Xiang Bai
Current weakly-supervised counting methods adopt the CNN to regress a total count of the crowd by an image-to-count paradigm.
2 code implementations • NeurIPS 2021 • Haonan Yu, Wei Xu, Haichao Zhang
TAAC has two important features: a) persistent exploration, and b) a new compare-through Q operator for multi-step TD backup, specially tailored to the action repetition scenario.
2 code implementations • ICLR 2021 • Rui Zhao, Yang Gao, Pieter Abbeel, Volker Tresp, Wei Xu
Reinforcement learning has been shown to be highly successful at many challenging tasks.
no code implementations • 1 Mar 2021 • Neale Ratzlaff, Qinxun Bai, Li Fuxin, Wei Xu
Recently, particle-based variational inference (ParVI) methods have gained interest because they can avoid arbitrary parametric assumptions that are common in variational inference.
1 code implementation • 24 Feb 2021 • Jiarong Lin, Chunran Zheng, Wei Xu, Fu Zhang
Our proposed framework is composed of two parts: the filter-based odometry and factor graph optimization.
Robotics
3 code implementations • 16 Feb 2021 • Dingkang Liang, Wei Xu, Yingying Zhu, Yu Zhou
Most regression-based methods utilize convolution neural networks (CNN) to regress a density map, which can not accurately locate the instance in the extremely dense scene, attributed to two crucial reasons: 1) the density map consists of a series of blurry Gaussian blobs, 2) severe overlaps exist in the dense region of the density map.
no code implementations • ACL (GEM) 2021 • Sebastian Gehrmann, Tosin Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, Aremu Anuoluwapo, Antoine Bosselut, Khyathi Raghavi Chandu, Miruna Clinciu, Dipanjan Das, Kaustubh D. Dhole, Wanyu Du, Esin Durmus, Ondřej Dušek, Chris Emezue, Varun Gangal, Cristina Garbacea, Tatsunori Hashimoto, Yufang Hou, Yacine Jernite, Harsh Jhamtani, Yangfeng Ji, Shailza Jolly, Mihir Kale, Dhruv Kumar, Faisal Ladhak, Aman Madaan, Mounica Maddela, Khyati Mahajan, Saad Mahamood, Bodhisattwa Prasad Majumder, Pedro Henrique Martins, Angelina McMillan-Major, Simon Mille, Emiel van Miltenburg, Moin Nadeem, Shashi Narayan, Vitaly Nikolaev, Rubungo Andre Niyongabo, Salomey Osei, Ankur Parikh, Laura Perez-Beltrachini, Niranjan Ramesh Rao, Vikas Raunak, Juan Diego Rodriguez, Sashank Santhanam, João Sedoc, Thibault Sellam, Samira Shaikh, Anastasia Shimorina, Marco Antonio Sobrevilla Cabezudo, Hendrik Strobelt, Nishant Subramani, Wei Xu, Diyi Yang, Akhila Yerukola, Jiawei Zhou
We introduce GEM, a living benchmark for natural language Generation (NLG), its Evaluation, and Metrics.
Ranked #1 on Extreme Summarization on GEM-XSum
Abstractive Text Summarization Cross-Lingual Abstractive Summarization +5
1 code implementation • ICLR 2021 • Jesse Zhang, Haonan Yu, Wei Xu
We propose a hierarchical reinforcement learning method, HIDIO, that can learn task-agnostic options in a self-supervised manner while jointly learning to utilize them to solve sparse-reward tasks.
Hierarchical Reinforcement Learning reinforcement-learning +1
1 code implementation • 15 Dec 2020 • Han Zhang, Wenhao Zheng, Charley Chen, Kevin Gao, Yao Hu, Ling Huang, Wei Xu
Meanwhile, such applications usually require modeling the intrinsic clusters in high-dimensional data, which usually displays heterogeneous statistical patterns as the patterns of different clusters may appear in different dimensions.
1 code implementation • 15 Dec 2020 • Lu Chen, Jiao Sun, Wei Xu
In both letter-level and word-level attacks, our experiments show that in addition to natural appearance, FAWA achieves a 100% attack success rate with 60% less perturbations and 78% fewer iterations on average.
Optical Character Recognition Optical Character Recognition (OCR)
no code implementations • 15 Dec 2020 • Wei Xu, Dingkang Liang, Yixiao Zheng, Zhanyu Ma
In this paper, we propose a simple yet efficient counting network based on point-level annotations.
2 code implementations • 13 Dec 2020 • Wenhui Lei, Wei Xu, Ran Gu, Hao Fu, Shaoting Zhang, Guotai Wang
To address this problem, we present a one-shot framework for organ and landmark localization in volumetric medical images, which does not need any annotation during the training stage and could be employed to locate any landmarks or organs in test images given a support (reference) image during the inference stage.
1 code implementation • EMNLP (WNUT) 2020 • Jeniya Tabassum, Sydney Lee, Wei Xu, Alan Ritter
This paper presents the results of the wet lab information extraction task at WNUT 2020.
Ranked #1 on Relation Extraction on WNUT 2020
no code implementations • NAACL 2021 • Mounica Maddela, Fernando Alva-Manchego, Wei Xu
Text Simplification improves the readability of sentences through several rewriting transformations, such as lexical paraphrasing, deletion, and splitting.
no code implementations • 18 Oct 2020 • Yifan Luo, Jindan Xu, Wei Xu, Kezhi Wang
Federated learning (FL) in a bandwidth-limited network with energy-limited user equipments (UEs) is under-explored.
3 code implementations • 16 Oct 2020 • Wei Xu, Fu Zhang
To lower the computation load in the presence of large number of measurements, we present a new formula to compute the Kalman gain.
Robotics
no code implementations • 15 Oct 2020 • Siyu Dai, Wei Xu, Andreas Hofmann, Brian Williams
In order to provide adaptive and user-friendly solutions to robotic manipulation, it is important that the agent can learn to accomplish tasks even if they are only provided with very sparse instruction signals.
no code implementations • 12 Oct 2020 • Wei Xu, Dongjiao He, Yixi Cai, Fu Zhang
It is shown that this new paradigm is much simpler and more natural than existing methods based on quaternion parameterizations.
no code implementations • 24 Sep 2020 • Zhaohui Yang, Wei Xu, Chongwen Huang, Jianfeng Shi, Mohammad Shikh-Bahaei
To solve this problem, a dual method is proposed, where the dual problem is obtained as a semidefinite programming problem.
no code implementations • 23 Sep 2020 • Liang Wang, Kezhi Wang, Cunhua Pan, Wei Xu, Nauman Aslam, Lajos Hanzo
An unmanned aerial vehicle (UAV)-aided mobile edge computing (MEC) framework is proposed, where several UAVs having different trajectories fly over the target area and support the user equipments (UEs) on the ground.
no code implementations • 3 Sep 2020 • Xinyi Huang, Suphanut Jamonnak, Ye Zhao, Boyu Wang, Minh Hoai, Kevin Yager, Wei Xu
Existing interactive visualization tools for deep learning are mostly applied to the training, debugging, and refinement of neural network models working on natural images.
no code implementations • 17 Aug 2020 • Yuyao Sun, Wei Xu, Lisheng Fan, Geoffrey Ye Li, George K. Karagiannidis
Accurate channel state information (CSI) feedback plays a vital role in improving the performance gain of massive multiple-input multiple-output (m-MIMO) systems, where the dilemma is excessive CSI overhead versus limited feedback bandwith.
no code implementations • 22 Jul 2020 • Zhangjie Peng, Tianshu Li, Cunhua Pan, Hong Ren, Wei Xu, Marco Di Renzo
Simulation results verify the correctness of the obtained results and show that the proposed GA method has almost the same performance as the globally optimal solution.
no code implementations • 20 Jul 2020 • Hong Ren, Cunhua Pan, Kezhi Wang, Wei Xu, Maged Elkashlan, Arumugam Nallanathan
This letter considers an unmanned aerial vehicle (UAV)-enabled relay communication system for delivering latency-critical messages with ultra-high reliability, where the relay is operating under amplifier-and-forward (AF) mode.
no code implementations • 11 Jun 2020 • Zeyun Tang, Yongliang Shen, Xinyin Ma, Wei Xu, Jiale Yu, Weiming Lu
Meanwhile, we propose Gated-RGCN to accumulate evidence on the path-based reasoning graph, which contains a new question-aware gating mechanism to regulate the usefulness of information propagating across documents and add question information during reasoning.
2 code implementations • COLING 2022 • Shi Zong, Ashutosh Baheti, Wei Xu, Alan Ritter
In this paper, we present a manually annotated corpus of 10, 000 tweets containing public reports of five COVID-19 events, including positive and negative tests, deaths, denied access to testing, claimed cures and preventions.
no code implementations • 21 May 2020 • Hang Li, Chen Ma, Wei Xu, Xue Liu
Building compact convolutional neural networks (CNNs) with reliable performance is a critical but challenging task, especially when deploying them in real-world applications.
1 code implementation • ACL 2020 • Chao Jiang, Mounica Maddela, Wuwei Lan, Yang Zhong, Wei Xu
The success of a text simplification system heavily depends on the quality and quantity of complex-simple sentence pairs in the training corpus, which are extracted by aligning sentences between parallel articles.
Ranked #1 on Text Simplification on Newsela
2 code implementations • ACL 2020 • Jeniya Tabassum, Mounica Maddela, Wei Xu, Alan Ritter
We also present the SoftNER model which achieves an overall 79. 10 F$_1$ score for code and named entity recognition on StackOverflow data.
no code implementations • 1 May 2020 • Zhaohui Yang, Mingzhe Chen, Walid Saad, Wei Xu, Mohammad Shikh-Bahaei, H. Vincent Poor, Shuguang Cui
In this network, multiple RISs are spatially distributed to serve wireless users and the energy efficiency of the network is maximized by dynamically controlling the on-off status of each RIS as well as optimizing the reflection coefficients matrix of the RISs.
1 code implementation • EMNLP 2020 • Wuwei Lan, Yang Chen, Wei Xu, Alan Ritter
Multilingual pre-trained Transformers, such as mBERT (Devlin et al., 2019) and XLM-RoBERTa (Conneau et al., 2020a), have been shown to enable the effective cross-lingual zero-shot transfer.
1 code implementation • Findings (ACL) 2021 • Jie Zhou, Shengding Hu, Xin Lv, Cheng Yang, Zhiyuan Liu, Wei Xu, Jie Jiang, Juanzi Li, Maosong Sun
Based on the datasets, we propose novel tasks such as multi-hop knowledge abstraction (MKA), multi-hop knowledge concretization (MKC) and then design a comprehensive benchmark.
no code implementations • 29 Mar 2020 • Konstantin Shestopaloff, Mei Dong, Fan Gao, Wei Xu
The performance of the model is assessed using simulations and applied to a human microbiome study, with results compared against a number of existing machine learning and distance-based approaches.
1 code implementation • AKBC 2020 • Zhengbao Jiang, Jun Araki, Donghan Yu, Ruohong Zhang, Wei Xu, Yiming Yang, Graham Neubig
We propose several methods that incorporate both structured and textual information to represent relations for this task.
no code implementations • 11 Feb 2020 • Feibo Jiang, Kezhi Wang, Li Dong, Cunhua Pan, Wei Xu, Kun Yang
By taking full advantage of Computing, Communication and Caching (3C) resources at the network edge, Mobile Edge Computing (MEC) is envisioned as one of the key enablers for the next generation networks.
no code implementations • 8 Feb 2020 • Lu Chen, Wei Xu
Optical character recognition (OCR) is widely applied in real applications serving as a key preprocessing tool.
Optical Character Recognition Optical Character Recognition (OCR)
no code implementations • 5 Feb 2020 • Rui Zhao, Yang Gao, Pieter Abbeel, Volker Tresp, Wei Xu
In reinforcement learning, an agent learns to reach a set of goals by means of an external reward signal.
no code implementations • 17 Jan 2020 • Heyi Li, Yuewei Lin, Klaus Mueller, Wei Xu
Using the Galaxy Zoo dataset we demonstrate that our method clearly reveals attention areas of the Discriminator when differentiating generated galaxy images from ground truth images.
no code implementations • 23 Nov 2019 • Yang Zhong, Chao Jiang, Wei Xu, Junyi Jessy Li
We inspect various document and discourse factors associated with sentence deletion, using a new manually annotated sentence alignment corpus we collected.
no code implementations • ICML 2020 • Neale Ratzlaff, Qinxun Bai, Li Fuxin, Wei Xu
Each random draw from our generative model is a neural network that instantiates the dynamic function, hence multiple draws would approximate the posterior, and the variance in the future prediction based on this posterior is used as an intrinsic reward for exploration.
3 code implementations • ACL 2020 • Zhengbao Jiang, Wei Xu, Jun Araki, Graham Neubig
Natural language processing covers a wide variety of tasks predicting syntax, semantics, and information content, and usually each type of output is generated with specially designed architectures.
Ranked #1 on Relation Extraction on WLPC
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +8
no code implementations • 10 Nov 2019 • Liang Wang, Kezhi Wang, Cunhua Pan, Wei Xu, Nauman Aslam, Arumugam Nallanathan
In this paper, we consider a platform of flying mobile edge computing (F-MEC), where unmanned aerial vehicles (UAVs) serve as equipment providing computation resource, and they enable task offloading from user equipment (UE).
no code implementations • 10 Oct 2019 • Xinyi Huang, Suphanut Jamonnak, Ye Zhao, Boyu Wang, Minh Hoai, Kevin Yager, Wei Xu
This extended abstract presents a visualization system, which is designed for domain scientists to visually understand their deep learning model of extracting multiple attributes in x-ray scattering images.
no code implementations • 8 Oct 2019 • Soumyabrata Dev, Hossein Javidnia, Murhaf Hossari, Matthew Nicholson, Killian McCabe, Atul Nautiyal, Clare Conran, Jian Tang, Wei Xu, François Pitié
Virtual advertising is an important and promising feature in the area of online advertising.
1 code implementation • 25 Sep 2019 • Rui Zhao, Volker Tresp, Wei Xu
Our results show that the mutual information between the context states and the states of interest can be an effective ingredient for overcoming challenges in robotic manipulation tasks with sparse rewards.
no code implementations • 25 Sep 2019 • Haichao Zhang, Wei Xu
We propose a simple approach for adversarial training.
no code implementations • 24 Sep 2019 • Chao Lu, Wei Xu, Shi Jin, Kezhi Wang
Quantized channel state information (CSI) plays a critical role in precoding design which helps reap the merits of multiple-input multiple-output (MIMO) technology.
Information Theory Signal Processing Information Theory
3 code implementations • ICCV 2019 • Gang Xu, Zhigang Song, Zhuo Sun, Calvin Ku, Zhe Yang, Cancheng Liu, Shuhao Wang, Jianpeng Ma, Wei Xu
In this research, we propose CAMEL, a weakly supervised learning framework for histopathology image segmentation using only image-level labels.
no code implementations • 6 Jun 2019 • Wei Xu, Haowei Gu, Fu Zhang
Both the feedback controller and the iterative learning feed-forward controller are based on the aircraft acceleration model, which is directly measurable by the onboard accelerometer.
Systems and Control
1 code implementation • ACL 2019 • Mounica Maddela, Wei Xu, Daniel Preoţiuc-Pietro
Hashtags are often employed on social media and beyond to add metadata to a textual utterance with the goal of increasing discoverability, aiding search, or providing additional semantics.
no code implementations • 6 May 2019 • Soumyabrata Dev, Murhaf Hossari, Matthew Nicholson, Killian McCabe, Atul Nautiyal, Clare Conran, Jian Tang, Wei Xu, François Pitié
Such techniques involve replacing an existing advertisement in a video frame, with a new advertisement.
no code implementations • 16 Apr 2019 • Soumyabrata Dev, Murhaf Hossari, Matthew Nicholson, Killian McCabe, Atul Nautiyal, Clare Conran, Jian Tang, Wei Xu, François Pitié
The rapid increase in the number of online videos provides the marketing and advertising agents ample opportunities to reach out to their audience.
2 code implementations • IJCNLP 2019 • Shun Zheng, Wei Cao, Wei Xu, Jiang Bian
Most existing event extraction (EE) methods merely extract event arguments within the sentence scope.
Ranked #4 on Document-level Event Extraction on ChFinAnn
no code implementations • 29 Mar 2019 • Liang Zhao, Wei Xu
In this paper we present our scientific discovery that good representation can be learned via continuous attention during the interaction between Unsupervised Learning(UL) and Reinforcement Learning(RL) modules driven by intrinsic motivation.
no code implementations • 21 Mar 2019 • Soumyabrata Dev, Murhaf Hossari, Matthew Nicholson, Killian McCabe, Atul Nautiyal, Clare Conran, Jian Tang, Wei Xu, François Pitié
With the advent of faster internet services and growth of multimedia content, we observe a massive growth in the number of online videos.
no code implementations • 9 Nov 2018 • Murhaf Hossari, Soumyabrata Dev, Matthew Nicholson, Killian McCabe, Atul Nautiyal, Clare Conran, Jian Tang, Wei Xu, François Pitié
Online video advertising gives content providers the ability to deliver compelling content, reach a growing audience, and generate additional revenue from online media.
1 code implementation • 9 Nov 2018 • Liping Li, Wei Xu, Tianyi Chen, Georgios B. Giannakis, Qing Ling
In this paper, we propose a class of robust stochastic subgradient methods for distributed learning from heterogeneous datasets at presence of an unknown number of Byzantine workers.
1 code implementation • ACL 2019 • Shun Zheng, Xu Han, Yankai Lin, Peilin Yu, Lu Chen, Ling Huang, Zhiyuan Liu, Wei Xu
To demonstrate the effectiveness of DIAG-NRE, we apply it to two real-world datasets and present both significant and interpretable improvements over state-of-the-art methods.
no code implementations • 2 Nov 2018 • Yuanpeng Li, Yi Yang, Jian-Yu Wang, Wei Xu
Therefore, toaccelerate this research, we propose a newzero-shot transfer VQA(ZST-VQA)dataset by reorganizing the existing VQA v1. 0 dataset in the way that duringtraining, some words appear only in one module (i. e. questions) but not in theother (i. e. answers).
1 code implementation • 14 Oct 2018 • Chenxu Luo, Zhenheng Yang, Peng Wang, Yang Wang, Wei Xu, Ram Nevatia, Alan Yuille
Performance on the five tasks of depth estimation, optical flow estimation, odometry, moving object segmentation and scene flow estimation shows that our approach outperforms other SoTA methods.
1 code implementation • EMNLP 2018 • Mounica Maddela, Wei Xu
Current lexical simplification approaches rely heavily on heuristics and corpus level features that do not always align with human judgment.
1 code implementation • 8 Oct 2018 • Yang Wang, Zhenheng Yang, Peng Wang, Yi Yang, Chenxu Luo, Wei Xu
Then the whole scene is decomposed into moving foreground and static background by compar- ing the estimated optical flow and rigid flow derived from the depth and ego-motion.
no code implementations • 5 Aug 2018 • Han Shen, Lichao Huang, Chang Huang, Wei Xu
The separation of the task requires to define a hand-crafted training goal in affinity learning stage and a hand-crafted cost function of data association stage, which prevents the tracking goals from learning directly from the feature.
no code implementations • 27 Jun 2018 • Zhenheng Yang, Peng Wang, Yang Wang, Wei Xu, Ram Nevatia
The four types of information, i. e. 2D flow, camera pose, segment mask and depth maps, are integrated into a differentiable holistic 3D motion parser (HMP), where per-pixel 3D motion for rigid background and moving objects are recovered.
1 code implementation • COLING 2018 • Wuwei Lan, Wei Xu
In this paper, we analyze several neural network designs (and their variations) for sentence pair modeling and compare their performance extensively across eight datasets, including paraphrase identification, semantic textual similarity, natural language inference, and question answering tasks.
Ranked #1 on Paraphrase Identification on 2017_test set
1 code implementation • 22 May 2018 • Haonan Yu, Xiaochen Lian, Haichao Zhang, Wei Xu
Recently there has been a rising interest in training agents, embodied in virtual environments, to perform language-directed tasks by deep reinforcement learning.
1 code implementation • NAACL 2018 • Wuwei Lan, Wei Xu
Sentence pair modeling is critical for many NLP tasks, such as paraphrase identification, semantic textual similarity, and natural language inference.
1 code implementation • CVPR 2018 • Peng Wang, Ruigang Yang, Binbin Cao, Wei Xu, Yuanqing Lin
The uniqueness of our design is a sensor fusion scheme which integrates camera videos, motion sensors (GPS/IMU), and a 3D semantic map in order to achieve robustness and efficiency of the system.
1 code implementation • 10 May 2018 • Chenxing Li, Peilun Li, Dong Zhou, Wei Xu, Fan Long
The Conflux consensus protocol represents relationships between blocks as a direct acyclic graph and achieves consensus on a total order of the blocks.
Distributed, Parallel, and Cluster Computing
no code implementations • NAACL 2018 • Chaitanya Kulkarni, Wei Xu, Alan Ritter, Raghu Machiraju
We make our annotated Wet Lab Protocol Corpus available to the research community.
1 code implementation • ACL 2018 • Haichao Zhang, Haonan Yu, Wei Xu
Building intelligent agents that can communicate with and learn from humans in natural language is of great value.
1 code implementation • CVPR 2018 • Zhenheng Yang, Peng Wang, Yang Wang, Wei Xu, Ram Nevatia
In our framework, the predicted depths, normals and edges are forced to be consistent all the time.
2 code implementations • ICLR 2018 • Haonan Yu, Haichao Zhang, Wei Xu
We build a virtual agent for learning language in a 2D maze-like world.
no code implementations • 4 Jan 2018 • Yi Zhang, Houjun Huang, Haifeng Zhang, Liao Ni, Wei Xu, Nasir Uddin Ahmed, Md. Shakil Ahmed, Yilun Jin, Yingjie Chen, Jingxuan Wen, Wenxin Li
The development of finger vein recognition algorithms heavily depends on large-scale real-world data sets.
no code implementations • CVPR 2018 • Yang Wang, Yi Yang, Zhenheng Yang, Liang Zhao, Peng Wang, Wei Xu
Especially on KITTI dataset where abundant unlabeled samples exist, our unsupervised method outperforms its counterpart trained with supervised learning.
no code implementations • 10 Nov 2017 • Zhenheng Yang, Peng Wang, Wei Xu, Liang Zhao, Ramakant Nevatia
Learning to reconstruct depths in a single image by watching unlabeled videos via deep convolutional network (DCN) is attracting significant attention in recent years.
1 code implementation • 27 Sep 2017 • Xingyi Cheng, Ruiqing Zhang, Jie zhou, Wei Xu
Several pioneering approaches have been proposed based on traffic observations of the target location as well as its adjacent regions, but they obtain somewhat limited accuracy due to a lack of mining road topology.
no code implementations • WS 2017 • Wei Xu
As natural language processing research is growing and largely driven by the availability of data, we expanded research from news and small-scale dialog corpora to web and social media.
no code implementations • EMNLP 2017 • Wuwei Lan, Siyu Qiu, Hua He, Wei Xu
The main advantage of our method is its simplicity, as it gets rid of the classifier or human in the loop needed to select data before annotation and subsequent application of paraphrase identification algorithms in the previous work.
1 code implementation • 28 May 2017 • Haichao Zhang, Haonan Yu, Wei Xu
One of the long-term goals of artificial intelligence is to build an agent that can communicate intelligently with human in natural language.
no code implementations • 24 May 2017 • Liang Zhao, Yang Wang, Yi Yang, Wei Xu
This paper presents two unsupervised learning layers (UL layers) for label-free video analysis: one for fully connected layers, and the other for convolutional ones.
1 code implementation • 30 Mar 2017 • Zhichao Li, Yi Yang, Xiao Liu, Feng Zhou, Shilei Wen, Wei Xu
We propose a dynamic computational time model to accelerate the average processing time for recurrent visual attention (RAM).
no code implementations • 28 Mar 2017 • Haonan Yu, Haichao Zhang, Wei Xu
We believe that our results provide some preliminary insights on how to train an agent with similar abilities in a 3D environment.
no code implementations • 8 Dec 2016 • Wenchao Du, Pascal Poupart, Wei Xu
We investigate the task of inferring conversational dependencies between messages in one-on-one online chat, which has become one of the most popular forms of customer service.
no code implementations • WS 2016 • Benjamin Strauss, Bethany Toma, Alan Ritter, Marie-Catherine de Marneffe, Wei Xu
This paper presents the results of the Twitter Named Entity Recognition shared task associated with W-NUT 2016: a named entity tagging task with 10 teams participating.
no code implementations • 24 Nov 2016 • Shengyong Ding, Junyu Wu, Wei Xu, Hongyang Chao
In this paper, we propose a method to automatically and incrementally construct datasets from massive weakly labeled data of the target domain which are readily available on the Internet under the help of a pretrained face model.
no code implementations • 24 Nov 2016 • Junyu Wu, Shengyong Ding, Wei Xu, Hongyang Chao
However, we observe that directly feeding the hallucinated facial images into recog- nition models can even degrade the recognition performance despite the much better visualization quality.
no code implementations • 15 Nov 2016 • Yong Cheng, Yang Liu, Qian Yang, Maosong Sun, Wei Xu
While recent neural machine translation approaches have delivered state-of-the-art performance for resource-rich language pairs, they suffer from the data scarcity problem for resource-scarce language pairs.
1 code implementation • 9 Aug 2016 • Jeniya Tabassum, Alan Ritter, Wei Xu
We describe TweeTIME, a temporal tagger for recognizing and normalizing time expressions in Twitter.
3 code implementations • 21 Jul 2016 • Peng Li, Wei Li, Zhengyan He, Xuguang Wang, Ying Cao, Jie zhou, Wei Xu
While question answering (QA) with neural network, i. e. neural QA, has achieved promising results in recent years, lacking of large scale real-word QA dataset is still a challenge for developing and evaluating neural QA system.
no code implementations • ACL 2016 • Yong Cheng, Wei Xu, Zhongjun He, wei he, Hua Wu, Maosong Sun, Yang Liu
While end-to-end neural machine translation (NMT) has made remarkable progress recently, NMT systems only rely on parallel corpora for parameter estimation.
1 code implementation • TACL 2016 • Jie Zhou, Ying Cao, Xuguang Wang, Peng Li, Wei Xu
On the WMT'14 English-to-French task, we achieve BLEU=37. 7 with a single attention model, which outperforms the corresponding single shallow model by 6. 2 BLEU points.
Ranked #37 on Machine Translation on WMT2014 English-French
no code implementations • ACL 2016 • Zihang Dai, Lei LI, Wei Xu
We propose CFO, a Conditional Focused neural-network-based approach to answering factoid questions with knowledge bases.
1 code implementation • CVPR 2016 • Jiang Wang, Yi Yang, Junhua Mao, Zhiheng Huang, Chang Huang, Wei Xu
While deep convolutional neural networks (CNNs) have shown a great success in single-label image classification, it is important to note that real world images generally contain multiple labels, which could correspond to different objects, scenes, actions and attributes in an image.
no code implementations • 13 Apr 2016 • Shun Zheng, Jialei Wang, Fen Xia, Wei Xu, Tong Zhang
In modern large-scale machine learning applications, the training data are often partitioned and stored on multiple machines.
1 code implementation • TACL 2016 • Wei Xu, Courtney Napoles, Ellie Pavlick, Quanze Chen, Chris Callison-Burch
Most recent sentence simplification systems use basic machine translation models to learn lexical and syntactic paraphrases from a manually simplified parallel corpus.
Ranked #8 on Text Simplification on TurkCorpus
no code implementations • NeurIPS 2015 • Haoyuan Gao, Junhua Mao, Jie zhou, Zhiheng Huang, Lei Wang, Wei Xu
The quality of the generated answers of our mQA model on this dataset is evaluated by human judges through a Turing Test.
no code implementations • ICCV 2015 • Chunshui Cao, Xian-Ming Liu, Yi Yang, Yinan Yu, Jiang Wang, Zilei Wang, Yongzhen Huang, Liang Wang, Chang Huang, Wei Xu, Deva Ramanan, Thomas S. Huang
While feedforward deep convolutional neural networks (CNNs) have been a great success in computer vision, it is important to remember that the human visual contex contains generally more feedback connections than foward connections.