no code implementations • 20 Jan 2022 • Rong Liang, Yujie Lu, Tiehua Zhang, Zhen Huang, Yuze Liu, Xin Chen
We evaluate the performance of the proposed model on three tasks, including code question answering, code clone detection and code refinement.
1 code implementation • 16 Jan 2022 • Hao Wang, Yangguang Li, Zhen Huang, Yong Dou, Lingpeng Kong, Jing Shao
To alleviate feature suppression, we propose contrastive learning for unsupervised sentence embedding with soft negative samples (SNCSE).
no code implementations • 27 Aug 2021 • Zhen Huang, Xiaodan Zhuang, Daben Liu, Xiaoqiang Xiao, Yuchen Zhang, Sabato Marco Siniscalchi
To achieve such an ambitious goal, new mechanisms for foreign pronunciation generation and language model (LM) enrichment have been devised.
1 code implementation • CVPR 2021 • Zhen Huang, Xu Shen, Jun Xing, Tongliang Liu, Xinmei Tian, Houqiang Li, Bing Deng, Jianqiang Huang, Xian-Sheng Hua
The inheritance part is learned with a similarity loss to transfer the existing learned knowledge from the teacher model to the student model, while the exploration part is encouraged to learn representations different from the inherited ones with a dis-similarity loss.
1 code implementation • 29 Mar 2021 • Xin Jin, Tianyu He, Kecheng Zheng, Zhiheng Yin, Xu Shen, Zhen Huang, Ruoyu Feng, Jianqiang Huang, Xian-Sheng Hua, Zhibo Chen
Specifically, we introduce Gait recognition as an auxiliary task to drive the Image ReID model to learn cloth-agnostic representations by leveraging personal unique and cloth-independent gait information, we name this framework as GI-ReID.
1 code implementation • ICCV 2021 • Zhen Huang, Dixiu Xue, Xu Shen, Xinmei Tian, Houqiang Li, Jianqiang Huang, Xian-Sheng Hua
Second, different body parts possess different scales, and even the same part in different frames can appear at different locations and scales.
no code implementations • COLING 2020 • Hao Wang, Zhen Huang, Yong Dou, Yu Hong
Recent research mainly models the task as a sequence tagging problem and deal with all the argumentation components at word level.
no code implementations • COLING 2020 • Huibin Ruan, Yu Hong, Yang Xu, Zhen Huang, Guodong Zhou, Min Zhang
We tackle implicit discourse relation recognition.
no code implementations • COLING 2020 • Xiao Li, Yu Hong, Huibin Ruan, Zhen Huang
We tackle implicit discourse relation classification, a task of automatically determining semantic relationships between arguments.
1 code implementation • 26 Nov 2020 • Zhen Huang, Xu Shen, Xinmei Tian, Houqiang Li, Jianqiang Huang, Xian-Sheng Hua
The topology of the adjacency graph is a key factor for modeling the correlations of the input skeletons.
no code implementations • 10 Jul 2020 • Owen G. Ward, Zhen Huang, Andrew Davison, Tian Zheng
Embedding nodes of a large network into a metric (e. g., Euclidean) space has become an area of active research in statistical machine learning, which has found applications in natural and social sciences.
no code implementations • 3 Jun 2020 • Zhi Shiuh Lim, Changjian Li, Zhen Huang, Xiao Chi, Jun Zhou, Shengwei Zeng, Ganesh Ji Omar, Yuan Ping Feng, Andrivo Rusydi, Stephen John Pennycook, Thirumalai Venkatesan, Ariando Ariando
Here, the emergence, tuning and interpretation of hump-shape Hall Effect from a CaMnO3/CaIrO3/CaMnO3 trilayer structure are studied in detail.
Mesoscale and Nanoscale Physics
no code implementations • 10 Nov 2019 • Wei Zhang, Youyuan Lin, Ruoran Ren, Xiaodong Wang, Zhenshuang Liang, Zhen Huang
We present the detailed mathematical construction of our method.
no code implementations • 7 Nov 2019 • Wei Zhang, Feifei Lin, Xiaodong Wang, Zhenshuang Liang, Zhen Huang
However, when the translation task involves Chinese, semantic granularity remains at the word and character level, so there is still need more fine-grained translation model of Chinese.
no code implementations • 4 Oct 2019 • Zhen Huang, Tim Ng, Leo Liu, Henry Mason, Xiaodan Zhuang, Daben Liu
The most popular way to train very deep CNNs is to use shortcut connections (SC) together with batch normalization (BN).
1 code implementation • IJCNLP 2019 • Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li
Rapid progress has been made in the field of reading comprehension and question answering, where several systems have achieved human parity in some simplified settings.
Ranked #5 on
Question Answering
on DROP Test
1 code implementation • ACL 2019 • Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li
This paper considers the reading comprehension task in which multiple documents are given as input.
1 code implementation • ACL 2019 • Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li, Yiwei Lv
Open-domain targeted sentiment analysis aims to detect opinion targets along with their sentiment polarities from a sentence.
Aspect-Based Sentiment Analysis
Aspect Term Extraction and Sentiment Classification
+1
no code implementations • EMNLP 2018 • Minghao Hu, Yuxing Peng, Furu Wei, Zhen Huang, Dongsheng Li, Nan Yang, Ming Zhou
Despite that current reading comprehension systems have achieved significant advancements, their promising performances are often obtained at the cost of making an ensemble of numerous models.
no code implementations • 17 Aug 2018 • Minghao Hu, Furu Wei, Yuxing Peng, Zhen Huang, Nan Yang, Dongsheng Li
Machine reading comprehension with unanswerable questions aims to abstain from answering when no answer can be inferred.
Ranked #12 on
Question Answering
on SQuAD2.0 dev
no code implementations • 19 May 2018 • Xiang Ao, Yang Liu, Zhen Huang, Luo Zuo, Qing He
An effective technique for filtering free-rider episodes is using a partition model to divide an episode into two consecutive subepisodes and comparing the observed support of such episode with its expected support under the assumption that these two subepisodes occur independently.
no code implementations • 2 Nov 2017 • Dhaval Miyani, Zhen Huang, David Lie
Enforcing open source licenses such as the GNU General Public License (GPL), analyzing a binary for possible vulnerabilities, and code maintenance are all situations where it is useful to be able to determine the source code provenance of a binary.
Cryptography and Security D.4.6
no code implementations • 2 Nov 2017 • Zhen Huang, David Lie
However, a recent study found that a significant amount of configuration errors require fixing more than one setting together.
3 code implementations • 8 May 2017 • Minghao Hu, Yuxing Peng, Zhen Huang, Xipeng Qiu, Furu Wei, Ming Zhou
In this paper, we introduce the Reinforced Mnemonic Reader for machine reading comprehension tasks, which enhances previous attentive readers in two aspects.
Ranked #17 on
Question Answering
on TriviaQA
no code implementations • 21 Mar 2017 • Yong Xu, Jun Du, Zhen Huang, Li-Rong Dai, Chin-Hui Lee
We propose a multi-objective framework to learn both secondary targets not directly related to the intended task of speech enhancement (SE) and the primary target of the clean log-power spectra (LPS) features to be used directly for constructing the enhanced speech signals.
Sound
no code implementations • 6 Mar 2015 • Zhen Huang, Sabato Marco Siniscalchi, I-Fan Chen, Jiadong Wu, Chin-Hui Lee
We present a Bayesian approach to adapting parameters of a well-trained context-dependent, deep-neural-network, hidden Markov model (CD-DNN-HMM) to improve automatic speech recognition performance.
no code implementations • 1 Feb 2015 • Zhijun Chen, Chaozhong Wu, Yishi Zhang, Zhen Huang, Bin Ran, Ming Zhong, Nengchao Lyu
Feature selection has attracted significant attention in data mining and machine learning in the past decades.