1 code implementation • ICML 2020 • Zhen Wang, Liu Liu, DaCheng Tao
In order to fill in these research gaps, we propose a novel deep neural network (DNN) based framework, Deep Streaming Label Learning (DSLL), to classify instances with newly emerged labels effectively.
1 code implementation • Findings (ACL) 2022 • Zhen Wang, Yating Yang, Zhou Xi, Bo Ma, Lei Wang, Rui Dong, Azmat Anwar
We also propose a stable semi-supervised method named stair learning (SL) that orderly distills knowledge from better models to weaker models.
no code implementations • NAACL (SUKI) 2022 • Lingbo Mo, Zhen Wang, Jie Zhao, Huan Sun
More fine-grained analyses on transfer behaviors reveal the types of transferred knowledge and transfer patterns.
no code implementations • 11 Mar 2023 • Zhen Wang, Jun Xiao, Lei Chen, Fei Gao, Jian Shao, Long Chen
Due to its simplicity, our ComPro can easily be extended to more complex combined control signals by concatenating these prompts.
no code implementations • 6 Mar 2023 • Zhen Wang, Rameswar Panda, Leonid Karlinsky, Rogerio Feris, Huan Sun, Yoon Kim
Prompt tuning, in which a base pretrained model is adapted to each task via conditioning on learned prompt vectors, has emerged as a promising approach for efficiently adapting large language models to multiple downstream tasks.
no code implementations • 10 Feb 2023 • Zhen Wang, Peide Zhu, Jie Yang
Controversy is widespread online.
no code implementations • 12 Jan 2023 • Chen Shen, Zhao Song, Lei Shi, Jun Tanimoto, Zhen Wang
In the finite population, although the exit option enables the coexistence of altruistic punishers, defectors, and exiters through cyclic dominance.
2 code implementations • 16 Dec 2022 • Yue Liu, Xihong Yang, Sihang Zhou, Xinwang Liu, Zhen Wang, Ke Liang, Wenxuan Tu, Liang Li, Jingcan Duan, Cancan Chen
Moreover, under the guidance of the carefully collected high-confidence clustering information, our proposed weight modulating function will first recognize the positive and negative samples and then dynamically up-weight the hard sample pairs while down-weighting the easy ones.
no code implementations • 8 Dec 2022 • Zhen Wang, Shijie Zhou, Jeong Joon Park, Despoina Paschalidou, Suya You, Gordon Wetzstein, Leonidas Guibas, Achuta Kadambi
One school of thought is to encode a latent vector for each point (point latents).
no code implementations • 30 Nov 2022 • De Cheng, Haichun Tai, Nannan Wang, Zhen Wang, Xinbo Gao
In this paper, we propose a Neighbour Consistency guided Pseudo Label Refinement (NCPLR) framework, which can be regarded as a transductive form of label propagation under the assumption that the prediction of each example should be similar to its nearest neighbours'.
no code implementations • 25 Nov 2022 • Zhen Wang, Zheng Feng, Yanjun Li, Bowen Li, Yongrui Wang, Chulin Sha, Min He, Xiaolin Li
BatmanNet features two tailored and complementary graph autoencoders to reconstruct the missing nodes and edges from a masked molecular graph.
1 code implementation • 30 Oct 2022 • Zhen Wang, Haotong Du, Quanming Yao, Xuelong Li
In particular, we develop a generalized framework to explore topological and temporal information in TKGs.
Neural Architecture Search
Temporal Knowledge Graph Completion
2 code implementations • 12 Oct 2022 • Janvijay Singh, Fan Bai, Zhen Wang
Cross-task knowledge transfer via multi-task learning has recently made remarkable progress in general NLP tasks.
1 code implementation • 10 Oct 2022 • Guozheng Ma, Zhen Wang, Zhecheng Yuan, Xueqian Wang, Bo Yuan, DaCheng Tao
Visual reinforcement learning (RL), which makes decisions directly from high-dimensional visual inputs, has demonstrated significant potential in various domains.
no code implementations • 4 Oct 2022 • Batu Ozturkler, Nikolay Malkin, Zhen Wang, Nebojsa Jojic
We propose a two-stage probabilistic inference paradigm, ThinkSum, that reasons over sets of objects or facts in a structured manner.
1 code implementation • 1 Oct 2022 • Yiqun Duan, Zhen Wang, Yi Li, Jianhang Tang, Yu-Kai Wang, Chin-Teng Lin
Recently, various neural network approaches have been proposed to improve the accuracy of EEG signal recognition.
no code implementations • 30 Sep 2022 • Zhigang Su, Dawei Zhou, Decheng Liu, Nannan Wang, Zhen Wang, Xinbo Gao
Growing leakage and misuse of visual information raise security and privacy concerns, which promotes the development of information protection.
no code implementations • The Astrophysical Journal 2022 • Hao Shan, Jianping Yuan, Na Wang, Zhen Wang
In pulsar signal processing, two primary difficulties are (1) radio-frequency interference (RFI) mitigation and (2) information loss due to preprocessing and mitigation itself.
no code implementations • 7 Aug 2022 • Chang Yang, Ruiyu Wang, Xinrun Wang, Zhen Wang
However, there is not a unified formulation of the various schemes, as well as the comprehensive comparisons of methods across different schemes.
no code implementations • 25 Jul 2022 • Yajing Kong, Liu Liu, Zhen Wang, DaCheng Tao
Continual learning is a learning paradigm that learns tasks sequentially with resources constraints, in which the key challenge is stability-plasticity dilemma, i. e., it is uneasy to simultaneously have the stability to prevent catastrophic forgetting of old tasks and the plasticity to learn new tasks well.
no code implementations • 24 Jul 2022 • Zhen Wang, Liu Liu, Yajing Kong, Jiaxian Guo, DaCheng Tao
Based on the learnable focuses, we design a focal contrastive loss to rebalance contrastive learning between new and past classes and consolidate previously learned representations.
1 code implementation • 20 Jul 2022 • Zhen Wang, Long Chen, Wenbo Ma, Guangxing Han, Yulei Niu, Jian Shao, Jun Xiao
Given an image and a reference caption, the image caption editing task aims to correct the misalignment errors and generate a refined caption.
no code implementations • 11 Jul 2022 • Shijie Chen, Ziru Chen, Xiang Deng, Ashley Lewis, Lingbo Mo, Samuel Stevens, Zhen Wang, Xiang Yue, Tianshu Zhang, Yu Su, Huan Sun
We present TacoBot, a task-oriented dialogue system built for the inaugural Alexa Prize TaskBot Challenge, which assists users in completing multi-step cooking and home improvement tasks.
1 code implementation • 8 Jul 2022 • Zhen Wang, Yuan-Hai Shao
Under this mechanism, error-based learning machines improve their memorization abilities of training data without over-fitting.
no code implementations • 30 Jun 2022 • Zhen Wang
Question Answering (QA) is one of the most important natural language processing (NLP) tasks.
1 code implementation • 8 Jun 2022 • Zhen Wang, Weirui Kuang, Ce Zhang, Bolin Ding, Yaliang Li
Due to this uniqueness, existing HPO benchmarks no longer satisfy the need to compare HPO methods in the FL setting.
1 code implementation • 7 Jun 2022 • Liuyi Yao, Dawei Gao, Zhen Wang, Yuexiang Xie, Weirui Kuang, Daoyuan Chen, Haohui Wang, Chenhe Dong, Bolin Ding, Yaliang Li
To investigate the heterogeneity in federated learning in real-world scenarios, we generalize the classic federated learning to federated hetero-task learning, which emphasizes the inconsistency across the participants in federated learning in terms of both data distribution and learning tasks.
1 code implementation • 27 May 2022 • Runlin Lei, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei
Despite their extraordinary predictive accuracy, existing approaches, such as GCN and GPRGNN, are not robust in the face of homophily changes on test graphs, rendering these models vulnerable to graph structural attacks and with limited capacity in generalizing to graphs of varied homophily levels.
no code implementations • 24 May 2022 • Binwei Yao, Chao Shi, Likai Zou, Lingfeng Dai, Mengyue Wu, Lu Chen, Zhen Wang, Kai Yu
In a depression-diagnosis-directed clinical session, doctors initiate a conversation with ample emotional support that guides the patients to expose their symptoms based on clinical diagnosis criteria.
no code implementations • 16 May 2022 • Yang Liu, Xiaoqi Wang, Xi Wang, Zhen Wang, Jürgen Kurths
We assume that the state of a number of nodes in a network could be investigated if necessary, and study what configuration of those nodes could facilitate a better solution for the diffusion-source-localization (DSL) problem.
1 code implementation • 15 Apr 2022 • Linyi Yang, Zhen Wang, Yuxiang Wu, Jie Yang, Yue Zhang
Understanding causality is key to the success of NLP applications, especially in high-stakes domains.
1 code implementation • 12 Apr 2022 • Zhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou
The incredible development of federated learning (FL) has benefited various tasks in the domains of computer vision and natural language processing, and the existing frameworks such as TFF and FATE has made the deployment easy in real-world applications.
1 code implementation • 11 Apr 2022 • Yuexiang Xie, Zhen Wang, Dawei Gao, Daoyuan Chen, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou
Although remarkable progress has been made by existing federated learning (FL) platforms to provide infrastructures for development, these platforms may not well tackle the challenges brought by various types of heterogeneity, including the heterogeneity in participants' local data, resources, behaviors and learning goals.
no code implementations • 6 Apr 2022 • Tong Sang, Hongyao Tang, Yi Ma, Jianye Hao, Yan Zheng, Zhaopeng Meng, Boyan Li, Zhen Wang
In online adaptation phase, with the environment context inferred from few experiences collected in new environments, the policy is optimized by gradient ascent with respect to the PDVF.
no code implementations • 4 Apr 2022 • Wenhui Ren, Weikang Li, Shibo Xu, Ke Wang, Wenjie Jiang, Feitong Jin, Xuhao Zhu, Jiachen Chen, Zixuan Song, Pengfei Zhang, Hang Dong, Xu Zhang, Jinfeng Deng, Yu Gao, Chuanyu Zhang, Yaozu Wu, Bing Zhang, Qiujiang Guo, Hekang Li, Zhen Wang, Jacob Biamonte, Chao Song, Dong-Ling Deng, H. Wang
Our results reveal experimentally a crucial vulnerability aspect of quantum learning systems under adversarial scenarios and demonstrate an effective defense strategy against adversarial attacks, which provide a valuable guide for quantum artificial intelligence applications with both near-term and future quantum devices.
1 code implementation • 16 Mar 2022 • Pengyi Li, Hongyao Tang, Tianpei Yang, Xiaotian Hao, Tong Sang, Yan Zheng, Jianye Hao, Matthew E. Taylor, Wenyuan Tao, Zhen Wang, Fazl Barez
However, we reveal sub-optimal collaborative behaviors also emerge with strong correlations, and simply maximizing the MI can, surprisingly, hinder the learning towards better collaboration.
Multi-agent Reinforcement Learning
reinforcement-learning
+1
no code implementations • 10 Mar 2022 • Xiaotian Hao, Hangyu Mao, Weixun Wang, Yaodong Yang, Dong Li, Yan Zheng, Zhen Wang, Jianye Hao
To break this curse, we propose a unified agent permutation framework that exploits the permutation invariance (PI) and permutation equivariance (PE) inductive biases to reduce the multiagent state space.
no code implementations • 26 Feb 2022 • Jianhua Zhao, Haiye Liang, Shulan Li, Zhiji Yang, Zhen Wang
To address the two problems, we propose RBLDA for MTS data classification, where each of the two within-class matrices is regularized via one parameter.
1 code implementation • 11 Feb 2022 • Jiwei Tian, Buhong Wang, Jing Li, Zhen Wang, Mete Ozay
To this end, we first propose a signal-specific method and a universal signal-agnostic method to attack power systems using generated adversarial examples.
no code implementations • 31 Jan 2022 • Peican Zhu, Xin Hou, Keke Tang, Zhen Wang, Feiping Nie
For feature engineering, feature selection seems to be an important research content in which is anticipated to select "excellent" features from candidate ones.
no code implementations • 11 Jan 2022 • Shoutong Wang, Jinglin Liu, Yi Ren, Zhen Wang, Changliang Xu, Zhou Zhao
However, they face several challenges: 1) the fixed-size speaker embedding is not powerful enough to capture full details of the target timbre; 2) single reference audio does not contain sufficient timbre information of the target speaker; 3) the pitch inconsistency between different speakers also leads to a degradation in the generated voice.
no code implementations • CVPR 2022 • Zhen Wang, Yunhao Ba, Pradyumna Chari, Oyku Deniz Bozkurt, Gianna Brown, Parth Patwa, Niranjan Vaddi, Laleh Jalilian, Achuta Kadambi
Accelerated by telemedicine, advances in Remote Photoplethysmography (rPPG) are beginning to offer a viable path toward non-contact physiological measurement.
no code implementations • CVPR 2022 • Zhen Wang, Liu Liu, Yiqun Duan, Yajing Kong, DaCheng Tao
Continual learning methods aim at training a neural network from sequential data with streaming labels, relieving catastrophic forgetting.
1 code implementation • 24 Nov 2021 • Yao Lu, Wen Yang, Yunzhe Zhang, Zuohui Chen, Jinyin Chen, Qi Xuan, Zhen Wang, Xiaoniu Yang
Specifically, we model the process of class separation of intermediate representations in pre-trained DNNs as the evolution of communities in dynamic graphs.
1 code implementation • 22 Nov 2021 • Zuohui Chen, Yao Lu, Jinxuan Hu, Wen Yang, Qi Xuan, Zhen Wang, Xiaoniu Yang
Understanding the black-box representations in Deep Neural Networks (DNN) is an essential problem in deep learning.
1 code implementation • ACL 2022 • Nikolay Malkin, Zhen Wang, Nebojsa Jojic
Long-range semantic coherence remains a challenge in automatic language generation and understanding.
no code implementations • ICLR 2022 • Yuexiang Xie, Zhen Wang, Yaliang Li, Ce Zhang, Jingren Zhou, Bolin Ding
However, our further studies uncover that the design of the loss function of Flooding can lead to a discrepancy between its objective and implementation, and cause the instability issue.
no code implementations • 29 Sep 2021 • Weirui Kuang, Zhen Wang, Yaliang Li, Zhewei Wei, Bolin Ding
We get rid of these obstacles by exploiting the complementary natures of GNN and Transformer, and trade the fine-grained long-range information for the efficiency of Transformer.
no code implementations • 14 Sep 2021 • Jianye Hao, Tianpei Yang, Hongyao Tang, Chenjia Bai, Jinyi Liu, Zhaopeng Meng, Peng Liu, Zhen Wang
In addition to algorithmic analysis, we provide a comprehensive and unified empirical comparison of different exploration methods for DRL on a set of commonly used benchmarks.
1 code implementation • ICLR 2022 • Boyan Li, Hongyao Tang, Yan Zheng, Jianye Hao, Pengyi Li, Zhen Wang, Zhaopeng Meng, Li Wang
Discrete-continuous hybrid action space is a natural setting in many practical problems, such as robot control and game AI.
1 code implementation • LREC 2022 • Zhen Wang, Xu Shan, Xiangxie Zhang, Jie Yang
Current news datasets merely focus on text features on the news and rarely leverage the feature of images, excluding numerous essential features for news classification.
Ranked #1 on
News Classification
on N15News
no code implementations • 9 Aug 2021 • Zhen Wang, Kaihua Xi, Aijie Cheng, Hai Xiang Lin, André C. M. Ran, Jan H. van Schuppen, Chenghui Zhang
The synchronization of power generators is an important condition for the proper functioning of a power system, in which the fluctuations in frequency and the phase angle differences between the generators are sufficiently small when subjected to stochastic disturbances.
no code implementations • SEMEVAL 2021 • Zhen Wang, Hongjie Fan, Junfei Liu
This paper describes the system submitted to SemEval 2021 Task 5: Toxic Spans Detection.
no code implementations • 10 Jun 2021 • Yunhao Ba, Zhen Wang, Kerim Doruk Karinca, Oyku Deniz Bozkurt, Achuta Kadambi
Camera-based remote photoplethysmography (rPPG) provides a non-contact way to measure physiological signals (e. g., heart rate) using facial videos.
no code implementations • 18 Apr 2021 • Zhen Wang, Xiangxie Zhang, Yicong Tan
Measuring sentence similarity is a key research area nowadays as it allows machines to better understand human languages.
1 code implementation • 17 Apr 2021 • Zhen Wang, Shan-Shan Wang, Lan Bai, Wen-Si Wang, Yuan-Hai Shao
In semi-supervised fuzzy clustering, this paper extends the traditional pairwise constraint (i. e., must-link or cannot-link) to fuzzy pairwise constraint.
no code implementations • 28 Jan 2021 • Zhen Wang, Cheryl Yang, Liwei Liu, Yiqiang Q. Zhao
The numerical scenarios illustrate the influence of parameters on the equilibrium strategy and socially optimal strategy under two information levels.
Probability 60K25, 91B50, 91A35
no code implementations • 6 Jan 2021 • Rong Wang, Yihang Lu, Qianrong Zhang, Feiping Nie, Zhen Wang, Xuelong Li
To alleviate this problem, we proposed a novel ensemble and random collaborative representation-based detector (ERCRD) for HAD, which comprises two closely related stages.
no code implementations • 1 Jan 2021 • Zhen Wang, Liu Liu, Yiqun Duan, DaCheng Tao
In this work, we formulate and study few-shot streaming label learning (FSLL), which models emerging new labels with only a few annotated examples by utilizing the knowledge learned from past labels.
no code implementations • 18 Dec 2020 • Jinyin Chen, Zhen Wang, Haibin Zheng, Jun Xiao, Zhaoyan Ming
This work proposes a generic evaluation metric ROBY, a novel attack-independent robustness measure based on the model's decision boundaries.
1 code implementation • 9 Dec 2020 • Qi Zhou, Haipeng Chen, Yitao Zheng, Zhen Wang
As one of the most powerful topic models, Latent Dirichlet Allocation (LDA) has been used in a vast range of tasks, including document understanding, information retrieval and peer-reviewer assignment.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Zhen Wang, Siwei Rao, Jie Zhang, Zhen Qin, Guangjian Tian, Jun Wang
However, question generation is actually a one-to-many problem, as it is possible to raise questions with different focuses on contexts and various means of expression.
no code implementations • 26 Oct 2020 • Linlin Hou, Ji Zhang, Ou wu, Ting Yu, Zhen Wang, Zhao Li, Jianliang Gao, Yingchun Ye, Rujing Yao
We finally apply our model on PAKDD papers published from 2009-2019 to mine insightful results from scientific papers published in a longer time span.
no code implementations • 23 Oct 2020 • Hanshuang Tong, Yun Zhou, Zhen Wang
Knowledge tracing is a fundamental task in the computer-aid educational system.
no code implementations • 23 Oct 2020 • Zhen Wang, Ben Teng, Yun Zhou, Hanshuang Tong, Guangtong Liu
We assume that the characteristics matrix of students' is composed of two parts: one is a low-rank matrix representing the common characteristics of students; the other is a sparse matrix representing individual characteristics of students.
1 code implementation • 12 Oct 2020 • Zhen Wang, Qiansheng Wang, Chengguo Lv, Xue Cao, Guohong Fu
Although stance detection has made great progress in the past few years, it is still facing the problem of unseen targets.
1 code implementation • 10 Oct 2020 • Qiansheng Wang, Yuxin Liu, Chengguo Lv, Zhen Wang, Guohong Fu
Open-domain response generation is the task of generating sensible and informative re-sponses to the source sentence.
no code implementations • 29 Jul 2020 • Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei. Lin, Jingren Zhou
Then we instantiate this search strategy by optimizing both a dedicated graph neural network (GNN) and the adjacency tensor associated with the defined feature graph.
no code implementations • 13 Jun 2020 • Hanshuang Tong, Zhen Wang, Yun Zhou, Shiwei Tong, Wenyuan Han, Qi Liu
To solve the above problems, we propose a hierarchical graph knowledge tracing model called HGKT to explore the latent hierarchical relations between exercises.
1 code implementation • CVPR 2020 • Zhen Wang, Guosheng Hu, Qinghua Hu
Label noise may significantly degrade the performance of Deep Neural Networks (DNNs).
1 code implementation • ACL 2020 • Zhen Wang, Jennifer Lee, Simon Lin, Huan Sun
Nowadays, the interpretability of machine learning models is becoming increasingly important, especially in the medical domain.
1 code implementation • 28 Feb 2020 • Daixin Wang, Jianbin Lin, Peng Cui, Quanhui Jia, Zhen Wang, Yanming Fang, Quan Yu, Jun Zhou, Shuang Yang, Yuan Qi
Additionally, among the network, only very few of the users are labelled, which also poses a great challenge for only utilizing labeled data to achieve a satisfied performance on fraud detection.
1 code implementation • 23 Feb 2020 • Wei Ye, Zhen Wang, Rachel Redberg, Ambuj Singh
At the heart of Tree++ is a graph kernel called the path-pattern graph kernel.
no code implementations • 17 Feb 2020 • Lan Bai, Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Nai-Yang Deng
In this paper, we propose a Multiple Flat Projections Clustering (MFPC) to deal with cross-manifold clustering problems.
no code implementations • 4 Feb 2020 • Yuting Hu, Zhen Wang, Ghassan AlRegib
In this paper, we present an efficient and distinctive local descriptor, namely block intensity and gradient difference (BIGD).
1 code implementation • 13 Jan 2020 • Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei. Lin, Jingren Zhou
Motivated by the necessity and benefits of task-oriented BERT compression, we propose a novel compression method, AdaBERT, that leverages differentiable Neural Architecture Search to automatically compress BERT into task-adaptive small models for specific tasks.
no code implementations • 18 Oct 2019 • Manirupa Das, Zhen Wang, Evan Jaffe, Madhuja Chattopadhyay, Eric Fosler-Lussier, Rajiv Ramnath
Online customer reviews on large-scale e-commerce websites, represent a rich and varied source of opinion data, often providing subjective qualitative assessments of product usage that can help potential customers to discover features that meet their personal needs and preferences.
1 code implementation • 17 Sep 2019 • Hui Hu, Yijun Liu, Zhen Wang, Chao Lan
In this paper, we propose a distributed fair learning framework for protecting the privacy of demographic data.
1 code implementation • 21 Jun 2019 • Zhen Wang, Xiang Yue, Soheil Moosavinasab, Yungui Huang, Simon Lin, Huan Sun
To solve the problem, we propose a new framework SurfCon that leverages two important types of information in the privacy-aware clinical data, i. e., the surface form information, and the global context information for synonym discovery.
4 code implementations • 12 Jun 2019 • Xiang Yue, Zhen Wang, Jingong Huang, Srinivasan Parthasarathy, Soheil Moosavinasab, Yungui Huang, Simon M. Lin, Wen Zhang, Ping Zhang, Huan Sun
Our experimental results demonstrate that the recent graph embedding methods achieve promising results and deserve more attention in the future biomedical graph analysis.
1 code implementation • 11 Mar 2019 • Ke Sun, Piotr Koniusz, Zhen Wang
We try to minimize the loss wrt the perturbed $G+\Delta{G}$ while making $\Delta{G}$ to be effective in terms of the Fisher information of the neural network.
1 code implementation • 7 Feb 2019 • Łukasz Kidziński, Carmichael Ong, Sharada Prasanna Mohanty, Jennifer Hicks, Sean F. Carroll, Bo Zhou, Hongsheng Zeng, Fan Wang, Rongzhong Lian, Hao Tian, Wojciech Jaśkowski, Garrett Andersen, Odd Rune Lykkebø, Nihat Engin Toklu, Pranav Shyam, Rupesh Kumar Srivastava, Sergey Kolesnikov, Oleksii Hrinchuk, Anton Pechenko, Mattias Ljungström, Zhen Wang, Xu Hu, Zehong Hu, Minghui Qiu, Jun Huang, Aleksei Shpilman, Ivan Sosin, Oleg Svidchenko, Aleksandra Malysheva, Daniel Kudenko, Lance Rane, Aditya Bhatt, Zhengfei Wang, Penghui Qi, Zeyang Yu, Peng Peng, Quan Yuan, Wenxin Li, Yunsheng Tian, Ruihan Yang, Pingchuan Ma, Shauharda Khadka, Somdeb Majumdar, Zach Dwiel, Yinyin Liu, Evren Tumer, Jeremy Watson, Marcel Salathé, Sergey Levine, Scott Delp
In the NeurIPS 2018 Artificial Intelligence for Prosthetics challenge, participants were tasked with building a controller for a musculoskeletal model with a goal of matching a given time-varying velocity vector.
no code implementations • 30 Jan 2019 • Zhiling Long, Yazeed Alaudah, Muhammad Ali Qureshi, Motaz Al Farraj, Zhen Wang, Asjad Amin, Mohamed Deriche, Ghassan AlRegib
It is our hope that this comparative study will help acquaint the seismic interpretation community with the many available powerful image texture analysis techniques, providing more alternative attributes for their seismic exploration.
no code implementations • 26 Jan 2019 • Zhen Wang, Yuan-Hai Shao, Lan Bai, Chun-Na Li, Li-Ming Liu
In this paper, we propose a general model for plane-based clustering.
no code implementations • 19 Dec 2018 • Zhiling Long, Yazeed Alaudah, Muhammad Ali Qureshi, Yuting Hu, Zhen Wang, Motaz Alfarraj, Ghassan AlRegib, Asjad Amin, Mohamed Deriche, Suhail Al-Dharrab, Haibin Di
We focus on spatial attributes in this study and examine them in a new application for seismic interpretation, i. e., seismic volume labeling.
no code implementations • 10 Dec 2018 • Zhen Wang, Xu Chen, Chun-Na Li, Yuan-Hai Shao
Traditional plane-based clustering methods measure the cost of within-cluster and between-cluster by quadratic, linear or some other unbounded functions, which may amplify the impact of cost.
no code implementations • 6 Nov 2018 • Chun-Na Li, Yuan-Hai Shao, Zhen Wang, Nai-Yang Deng
In this paper, we propose a novel linear discriminant analysis criterion via the Bhattacharyya error bound estimation based on a novel L1-norm (L1BLDA) and L2-norm (L2BLDA).
no code implementations • ACL 2018 • Zhen Wang, Jiachen Liu, Xinyan Xiao, Yajuan Lyu, Tian Wu
While sophisticated neural-based techniques have been developed in reading comprehension, most approaches model the answer in an independent manner, ignoring its relations with other answer candidates.
no code implementations • 3 Mar 2018 • Hongwei Ge, Mingde Zhao, Liang Sun, Zhen Wang, Guozhen Tan, Qiang Zhang, C. L. Philip Chen
This paper proposes a many-objective optimization algorithm with two interacting processes: cascade clustering and reference point incremental learning (CLIA).
no code implementations • 23 Jan 2018 • Chun-Na Li, Yuan-Hai Shao, Wei-Jie Chen, Zhen Wang, Nai-Yang Deng
However, 2DLDA may encounter the singularity issue theoretically and the sensitivity to outliers.
2 code implementations • 18 Dec 2017 • Xudong Mao, Qing Li, Haoran Xie, Raymond Y. K. Lau, Zhen Wang, Stephen Paul Smolley
To overcome such a problem, we propose in this paper the Least Squares Generative Adversarial Networks (LSGANs) which adopt the least squares loss for both the discriminator and the generator.
no code implementations • 19 Apr 2017 • Zhen Wang, Yuan-Hai Shao, Lan Bai, Li-Ming Liu, Nai-Yang Deng
In this paper, stochastic gradient descent algorithm is investigated to twin support vector machines for classification.
23 code implementations • ICCV 2017 • Xudong Mao, Qing Li, Haoran Xie, Raymond Y. K. Lau, Zhen Wang, Stephen Paul Smolley
To overcome such a problem, we propose in this paper the Least Squares Generative Adversarial Networks (LSGANs) which adopt the least squares loss function for the discriminator.
1 code implementation • AAAI 2014 2014 • Zhen Wang, Jianwen Zhang, Jianlin Feng, Zheng Chen
Utilizing the one-to-many/many-to-one mapping property of a relation, we propose a simple trick to reduce the possibility of false negative labeling.
no code implementations • JEPTALNRECITAL 2013 • Zhen Wang
Chinese Named Entity Recognition
named-entity-recognition
+1