no code implementations • COLING 2022 • Jingyuan Wen, Yutian Luo, Nanyi Fei, Guoxing Yang, Zhiwu Lu, Hao Jiang, Jie Jiang, Zhao Cao
In few-shot text classification, a feasible paradigm for deploying VL-PTMs is to align the input samples and their category names via the text encoders.
no code implementations • 21 Feb 2023 • Xianjie Zhang, Pradeep Varakantham, Hao Jiang
Traditionally, both these challenges have been studied individually and using myopic approaches (considering only current requests), without considering the impact of current matching on addressing future requests.
no code implementations • 27 Jan 2023 • Hao Jiang, Tien Mai, Pradeep Varakantham
Constrained Reinforcement Learning has been employed to enforce safety constraints on policy through the use of expected cost constraints.
no code implementations • 4 Jan 2023 • Sagnik Majumder, Hao Jiang, Pierre Moulon, Ethan Henderson, Paul Calamia, Kristen Grauman, Vamsi Krishna Ithapu
Can conversational videos captured from multiple egocentric viewpoints reveal the map of a scene in a cost-efficient way?
1 code implementation • 2 Sep 2022 • Qian Cao, Xu Chen, Ruihua Song, Hao Jiang, Guang Yang, Zhao Cao
To model such human capabilities, in this paper, we define and solve a novel AI creation problem based on human experiences.
no code implementations • IEEE Internet Things J. 2022 • Qimei Chen, Kexin Yang, Hao Jiang, and Meikang Qiu
In this work, we introduce a CoMP based NR-U network, particularly for 6G enabled massive IoT scenarios.
no code implementations • 5 Jul 2022 • Pan Du, Jian-Yun Nie, Yutao Zhu, Hao Jiang, Lixin Zou, Xiaohui Yan
Beyond topical relevance, passage ranking for open-domain factoid question answering also requires a passage to contain an answer (answerability).
1 code implementation • Computational and Structural Biotechnology Journal 2022 • Chi Zhang, Hao Jiang, Weihuang Liu, Junyi Li, Shiming Tang, Mario Juhas, Yang Zhang.
Results To solve the out-of-focus issue in microscopy, we developed a Cycle Generative Adversarial Network (CycleGAN) based model and a multi-component weighted loss function.
1 code implementation • ACL 2022 • Jiawei Zhou, Xiaoguang Li, Lifeng Shang, Lan Luo, Ke Zhan, Enrui Hu, Xinyu Zhang, Hao Jiang, Zhao Cao, Fan Yu, Xin Jiang, Qun Liu, Lei Chen
To alleviate the data scarcity problem in training question answering systems, recent works propose additional intermediate pre-training for dense passage retrieval (DPR).
no code implementations • 3 Mar 2022 • Baoquan Zhang, Hao Jiang, Xutao Li, Shanshan Feng, Yunming Ye, Rui Ye
At last, a two-loop optimization mechanism is incorporated into our framework for a fast adaptation of the decision tree with few examples.
no code implementations • 28 Feb 2022 • Daniel Gao, Yantao Jia, Lei LI, Chengzhen Fu, Zhicheng Dou, Hao Jiang, Xinyu Zhang, Lei Chen, Zhao Cao
However, to figure out whether PLMs can be reliable knowledge sources and used as alternative knowledge bases (KBs), we need to further explore some critical features of PLMs.
no code implementations • 18 Feb 2022 • Majdi I. Radaideh, Hoang Tran, Lianshan Lin, Hao Jiang, Drew Winder, Sarma Gorti, Guannan Zhang, Justin Mach, Sarah Cousineau
Given that some of the calibrated parameters that show a good agreement with the experimental data can be nonphysical mercury properties, we need a more advanced two-phase flow model to capture bubble dynamics and mercury cavitation.
no code implementations • 10 Feb 2022 • Hao Jiang, Yanning Zhou, Yi Lin, Ronald CK Chan, Jiang Liu, Hao Chen
Computational cytology is a critical, rapid-developing, yet challenging topic in the field of medical image computing which analyzes the digitized cytology image by computer-aided technologies for cancer screening.
no code implementations • CVPR 2022 • Hao Jiang, Calvin Murdock, Vamsi Krishna Ithapu
We propose a novel end-to-end deep learning approach that is able to give robust voice activity detection and localization results.
Ranked #1 on
Active Speaker Localization
on EasyCom
no code implementations • CVPR 2022 • Hao Jiang, Yadong Mu
To address it, this work explores a new solution for video summarization by transferring samples from a correlated task (i. e., video moment localization) equipped with abundant training data.
no code implementations • 18 Oct 2021 • Qimei Chen, Zehua You, Hao Jiang
Cooperative Intelligent Transport System (C-ITS) is a promising network to provide safety, efficiency, sustainability, and comfortable services for automated vehicles and road infrastructures by taking advantages from participants.
no code implementations • 14 Oct 2021 • Hao Jiang, Ke Zhan, Jianwei Qu, Yongkang Wu, Zhaoye Fei, Xinyu Zhang, Lei Chen, Zhicheng Dou, Xipeng Qiu, Zikai Guo, Ruofei Lai, Jiawen Wu, Enrui Hu, Yinxia Zhang, Yantao Jia, Fan Yu, Zhao Cao
To increase the number of activated experts without an increase in computational cost, we propose SAM (Switch and Mixture) routing, an efficient hierarchical routing mechanism that activates multiple experts in a same device (GPU).
3 code implementations • CVPR 2022 • Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Abrham Gebreselasie, Cristina Gonzalez, James Hillis, Xuhua Huang, Yifei HUANG, Wenqi Jia, Weslie Khoo, Jachym Kolar, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Ziwei Zhao, Yunyi Zhu, Pablo Arbelaez, David Crandall, Dima Damen, Giovanni Maria Farinella, Christian Fuegen, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik
We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite.
1 code implementation • NAACL 2022 • Xiangyang Liu, Tianxiang Sun, Junliang He, Jiawen Wu, Lingling Wu, Xinyu Zhang, Hao Jiang, Zhao Cao, Xuanjing Huang, Xipeng Qiu
ELUE is dedicated to depict the Pareto Frontier for various language understanding tasks, such that it can tell whether and how much a method achieves Pareto improvement.
no code implementations • 14 Sep 2021 • Ruizhi Pu, Xinyu Zhang, Ruofei Lai, Zikai Guo, Yinxia Zhang, Hao Jiang, Yongkang Wu, Yantao Jia, Zhicheng Dou, Zhao Cao
Finally, supervisory signal in rear compressor is computed based on condition probability and thus can control sample dynamic and further enhance the model performance.
1 code implementation • 24 Aug 2021 • Yutao Zhu, Jian-Yun Nie, Zhicheng Dou, Zhengyi Ma, Xinyu Zhang, Pan Du, Xiaochen Zuo, Hao Jiang
To learn a more robust representation of the user behavior sequence, we propose a method based on contrastive learning, which takes into account the possible variations in user's behavior sequences.
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.
no code implementations • 11 Aug 2021 • Xiaoxia Xu, Qimei Chen, Hao Jiang, Jun Huang
Our aim for the proposed coexistence network is to maximize the spectral efficiency while ensuring the strict NR-U delay requirement and the WiGig transmission performance in real time environments.
1 code implementation • 18 Jul 2021 • Yutao Zhu, Jian-Yun Nie, Kun Zhou, Pan Du, Hao Jiang, Zhicheng Dou
The final response is selected according to the predicted knowledge, the goal to achieve, and the context.
no code implementations • 15 Jul 2021 • Xiaoxia Xu, Qimei Chen, Xidong Mu, Yuanwei Liu, Hao Jiang
With the accelerated development of immersive applications and the explosive increment of internet-of-things (IoT) terminals, 6G would introduce terahertz (THz) massive multiple-input multiple-output non-orthogonal multiple access (MIMO-NOMA) technologies to meet the ultra-high-speed transmission and massive connectivity requirements.
1 code implementation • Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval 2021 • Xinyu Zhang, Ke Zhan, Enrui Hu, Chengzhen Fu, Lan Luo, Hao Jiang, Yantao Jia, Fan Yu, Zhicheng Dou, Zhao Cao, Lei Chen
Currently, the most popular method for open-domain Question Answering (QA) adopts "Retriever and Reader" pipeline, where the retriever extracts a list of candidate documents from a large set of documents followed by a ranker to rank the most relevant documents and the reader extracts answer from the candidates.
1 code implementation • 9 Jul 2021 • Jacob Donley, Vladimir Tourbabin, Jung-Suk Lee, Mark Broyles, Hao Jiang, Jie Shen, Maja Pantic, Vamsi Krishna Ithapu, Ravish Mehra
In this work, we describe, evaluate and release a dataset that contains over 5 hours of multi-modal data useful for training and testing algorithms for the application of improving conversations for an AR glasses wearer.
Ranked #1 on
Speech Enhancement
on EasyCom
no code implementations • 28 May 2021 • Tianxiang Sun, Yunhua Zhou, Xiangyang Liu, Xinyu Zhang, Hao Jiang, Zhao Cao, Xuanjing Huang, Xipeng Qiu
In this paper, we show that a novel objective function for the training of the ensemble internal classifiers can be naturally induced from the perspective of ensemble learning and information theory.
no code implementations • 18 May 2021 • Hao Jiang, Yutao Zhu, Xinyu Zhang, Zhicheng Dou, Pan Du, Te Pi, Yantao Jia
Then we propose a dual encoder-decoder structure to model the generation of responses in both positive and negative side based on the changes of the user's emotion status in the conversation.
no code implementations • 14 Apr 2021 • Yanni Ren, Hangyu Deng, Hao Jiang, Jinglu Hu
A common shortfall of supervised learning for medical imaging is the greedy need for human annotations, which is often expensive and time-consuming to obtain.
no code implementations • ICCV 2021 • Hao Jiang, Vamsi Krishna Ithapu
Existing approaches either use a narrow field of view front facing camera that barely captures the wearer, or an extruded head-mounted top-down camera for maximal wearer visibility.
no code implementations • 22 Feb 2021 • Hao Jiang, Shuangkaisheng Bi, Linglong Dai, Hao Wang, Jiankun Zhang
However, the gradient vanishing and overfitting problems of GAN will result in the serious performance degradation of E2E learning of communication system.
1 code implementation • 11 Dec 2020 • Wenjie Wang, Ling-Yu Duan, Hao Jiang, Peiguang Jing, Xuemeng Song, Liqiang Nie
With the rising incidence of some diseases, such as obesity and diabetes, a healthy diet is arousing increasing attention.
no code implementations • 25 Jul 2020 • Haonan Jia, Xiao Zhang, Jun Xu, Wei Zeng, Hao Jiang, Xiaohui Yan, Ji-Rong Wen
Deep Q-learning algorithms often suffer from poor gradient estimations with an excessive variance, resulting in unstable training and poor sampling efficiency.
no code implementations • 13 Jul 2020 • Junyan Wu, Hao Jiang, Xiaowei Ding, Anudeep Konda, Jin Han, Yang Zhang, Qian Li
Skin conditions are reported the 4th leading cause of nonfatal disease burden worldwide.
no code implementations • 26 Mar 2020 • Quanzeng You, Hao Jiang
Our DMCT consists of 1) a fast and novel perspective-aware Deep GroudPoint Network, 2) a fusion procedure for ground-plane occupancy heatmap estimation, 3) a novel Deep Glimpse Network for person detection and 4) a fast and accurate online tracker.
no code implementations • 22 Mar 2020 • Xinyu Liu, Xiren Miao, Hao Jiang, Jing Chen
With the aim of providing a comprehensive overview for researchers who are interested in developing a deep-learning-based analysis system for power lines inspection data, this paper conducts a thorough review of the current literature and identifies the challenges for future research.
1 code implementation • 19 Dec 2019 • Jian Peng, Bo Tang, Hao Jiang, Zhuo Li, Yinjie Lei, Tao Lin, Haifeng Li
It is due to two facts: first, as the model learns more tasks, the intersection of the low-error parameter subspace satisfying for these tasks becomes smaller or even does not exist; second, when the model learns a new task, the cumulative error keeps increasing as the model tries to protect the parameter configuration of previous tasks from interference.
no code implementations • Remote Sensing (ISSN: 2072-4292), MDPI 2019 • Hongwei Zhao, Zhongxin Chen, Hao Jiang, Wenlong Jing, Liang Sun, Min Feng 6
First, we trained 1D CNNs, LSTM RNNs, and GRU RNNs based on the full images’ time series to attain three classifiers with optimal architectures and hyper-parameters.
no code implementations • 27 Jul 2019 • Tao Sun, Roberto Barrio, Marcos Rodriguez, Hao Jiang
In image processing, Total Variation (TV) regularization models are commonly used to recover blurred images.
no code implementations • 23 Jul 2019 • Tao Sun, Dongsheng Li, Zhe Quan, Hao Jiang, Shengguo Li, Yong Dou
In this paper, we answer a question: can the nonconvex heavy-ball algorithms with random initialization avoid saddle points?
no code implementations • 5 Mar 2019 • Hao Jiang, Quanzeng You
Different from the traditional multiple view approaches, which find key points in 2D and then triangulate to recover the 3D locations, our method directly processes the dynamic 3D data that involve both clutter and crowd.
no code implementations • 9 Feb 2019 • Tao Sun, Dongsheng Li, Hao Jiang, Zhe Quan
In this paper, we consider a class of nonconvex problems with linear constraints appearing frequently in the area of image processing.
no code implementations • 2 Dec 2018 • Liang Yang, Hao Jiang, Jizhong Xiao, Zhouyuan Huo
To provide a possible solution to this problem, this paper proposes a camera system with both ego-downward and third-static view to perform localization and tracking in a learning approach.
no code implementations • 5 Nov 2018 • Tao Sun, Penghang Yin, Dongsheng Li, Chun Huang, Lei Guan, Hao Jiang
For objective functions satisfying a relaxed strongly convex condition, the linear convergence is established under weaker assumptions on the step size and inertial parameter than made in the existing literature.
no code implementations • 11 Sep 2018 • Chengyao Qian, Ting Liu, Hao Jiang, Zhe Wang, Pengfei Wang, Mingxin Guan, Biao Sun
This report summarises our method and validation results for the ISIC Challenge 2018 - Skin Lesion Analysis Towards Melanoma Detection - Task 1: Lesion Segmentation.
no code implementations • 6 Jun 2018 • Quanzeng You, Hao Jiang
In this paper, we propose a real-time action recognition method, Action4D, which gives reliable and accurate results in the real-world settings.
1 code implementation • 30 May 2018 • Can Li, Zhongrui Wang, Mingyi Rao, Daniel Belkin, Wenhao Song, Hao Jiang, Peng Yan, Yunning Li, Peng Lin, Miao Hu, Ning Ge, John Paul Strachan, Mark Barnell, Qing Wu, R. Stanley Williams, J. Joshua Yang, Qiangfei Xia
Recent breakthroughs in recurrent deep neural networks with long short-term memory (LSTM) units has led to major advances in artificial intelligence.
Emerging Technologies Applied Physics
no code implementations • 31 Jan 2018 • Qiuhua Liu, Min Fu, Xinqi Gong, Hao Jiang
Meanwhile, we adopt DSC loss and Jaccard loss functions to train our DDSP ConNet.
no code implementations • 12 Sep 2017 • Tao Sun, Hao Jiang, Li-Zhi Cheng, Wei Zhu
In fact, a lot of classical inexact nonconvex and nonsmooth algorithms allow these three conditions.
no code implementations • 1 Sep 2017 • Tao Sun, Hao Jiang, Lizhi Cheng, Wei Zhu
The traditional alternating direction method of multipliers encounters troubles in both mathematics and computations in solving the nonconvex and nonsmooth subproblem.
no code implementations • 16 May 2017 • Hao Jiang
In view of the fact that biological characteristics have excellent independent distinguishing characteristics, biometric identification technology involves almost all the relevant areas of human distinction.
no code implementations • CVPR 2017 • Hao Jiang, Kristen Grauman
In addition, we demonstrate its impact on a proxemics recognition task, which demands a precise representation of "whose body part is where" in crowded images.
no code implementations • CVPR 2017 • Hao Jiang, Kristen Grauman
We propose to infer the "invisible pose" of a person behind the egocentric camera.
no code implementations • CVPR 2015 • Hao Jiang
We study the new problem of matching regions between a pair of RGBD images given a large set of overlapping region proposals.
no code implementations • CVPR 2013 • Hao Jiang, Jianxiong Xiao
We propose a novel linear method to match cuboids in indoor scenes using RGBD images from Kinect.