no code implementations • EMNLP 2021 • Ran Wang, Xi’ao Su, Siyu Long, Xinyu Dai, ShuJian Huang, Jiajun Chen
However, the simple extension of meta-learning approaches to multi-label classification is sub-optimal for LMTC tasks due to long-tailed label distribution and coexisting of few- and zero-shot scenarios.
no code implementations • ACL 2022 • Xi’ao Su, Ran Wang, Xinyu Dai
Multi-Label Text Classification (MLTC) is a fundamental and challenging task in natural language processing.
1 code implementation • 1 Nov 2024 • Xu Zhang, Yuheng Jia, Mofei Song, Ran Wang
Finally, the adversarial relationship between the similarity matrix and the dissimilarity matrix is utilized to construct a promoted CA matrix for ensemble clustering.
no code implementations • 18 Jul 2024 • Rixin Wu, Ran Wang, Jie Hao, Qiang Wu, Ping Wang, Dusit Niyato
Notably, the weight-aware strategy significantly reduces the training time of DRL while achieving better results, enabling a single DRL model to solve the entire multiobjective optimization problem.
1 code implementation • 4 May 2024 • Yuheng Jia, Jia-Nan Li, Wenhui Wu, Ran Wang
To this end, we first propose a novel semi-supervised SNMF model by seeking low-rank representation for the tensor synthesized by the pairwise constraint matrix and a similarity matrix obtained by the product of the embedding matrix and its transpose, which could strengthen those two matrices simultaneously from a global perspective.
no code implementations • 27 Oct 2023 • Ran Wang, Zhe Sage Chen
Recent advances in machine learning have made revolutionary breakthroughs in computer games, image and natural language understanding, and scientific discovery.
1 code implementation • 20 Aug 2023 • Quan Tu, Chuanqi Chen, Jinpeng Li, Yanran Li, Shuo Shang, Dongyan Zhao, Ran Wang, Rui Yan
In our modern, fast-paced, and interconnected world, the importance of mental well-being has grown into a matter of great urgency.
no code implementations • 11 Jul 2023 • Rixin Wu, Ran Wang, Jie Hao, Qiang Wu, Ping Wang
Due to shortage of water resources and increasing water demands, the joint operation of multireservoir systems for balancing power generation, ecological protection, and the residential water supply has become a critical issue in hydropower management.
no code implementations • 19 Nov 2022 • Mohamed Naveed Gul Mohamed, Raman Goyal, Suman Chakravorty, Ran Wang
This paper considers the problem of system identification for linear time varying systems.
no code implementations • 30 Aug 2022 • Ran Wang, Jinming Liu, Heming Sun, Jiro Katto
Lossless image compression is an essential research field in image compression.
2 code implementations • 9 Jul 2022 • Chongjie Si, Yuheng Jia, Ran Wang, Min-Ling Zhang, Yanghe Feng, Chongxiao Qu
Previous methods capture the high-order label correlations mainly by transforming the label matrix to a latent label space with low-rank matrix factorization.
1 code implementation • 12 May 2022 • Yuheng Jia, Sirui Tao, Ran Wang, Yongheng Wang
By propagating the highly-reliable information of the HC matrix to the CA matrix and complementing the HC matrix according to the CA matrix simultaneously, the proposed method generates an enhanced CA matrix for better clustering.
1 code implementation • 4 Mar 2022 • Bin Chen, Ran Wang, Di Ming, Xin Feng
We make vision transformers as data-efficient as convolutional neural networks by introducing multi-focal attention bias.
no code implementations • 4 Apr 2021 • Zhiqi Chen, Ran Wang, Haojie Liu, Yao Wang
At the finest scale, the two warped frames are adaptively blended to generate the middle frame.
no code implementations • 29 Jan 2021 • Haojing Shen, Sihong Chen, Ran Wang, XiZhao Wang
This paper proposes a framework combining cost-sensitive classification and adversarial learning together to train a model that can distinguish between protected and unprotected classes, such that the protected classes are less vulnerable to adversarial examples.
no code implementations • 28 Nov 2020 • Haojing Shen, Sihong Chen, Ran Wang, XiZhao Wang
In this paper, we propose a defence strategy to improve adversarial robustness by incorporating hidden layer representation.
no code implementations • 27 Nov 2020 • Haojing Shen, Sihong Chen, Ran Wang
This paper points out a changing tendency of uncertainty in the convolutional layers of LeNet structure, and gives some insights to the interpretability of convolution.
no code implementations • 21 Nov 2020 • Raman Goyal, Suman Chakravorty, Ran Wang, Mohamed Naveed Gul Mohamed
We consider the problem of Reinforcement Learning for nonlinear stochastic dynamical systems.
1 code implementation • 17 Nov 2020 • Farhad Pourpanah, Moloud Abdar, Yuxuan Luo, Xinlei Zhou, Ran Wang, Chee Peng Lim, Xi-Zhao Wang, Q. M. Jonathan Wu
Generalized zero-shot learning (GZSL) aims to train a model for classifying data samples under the condition that some output classes are unknown during supervised learning.
no code implementations • 11 Nov 2020 • Farhad Pourpanah, Ran Wang, Chee Peng Lim, Xi-Zhao Wang, Danial Yazdani
Owing to a number of salient properties, which include flexibility, fast convergence, and insensitivity to the initial parameter settings, the family of AFSA has emerged as an effective Swarm Intelligence (SI) methodology that has been widely applied to solve real-world optimization problems.
1 code implementation • COLING 2020 • Siyu Long, Ran Wang, Kun Tao, Jiali Zeng, Xin-yu Dai
Machine reading comprehension (MRC) is the task that asks a machine to answer questions based on a given context.
no code implementations • 2 Apr 2020 • Ran Wang, Kun Tao, Dingjie Song, Zhilong Zhang, Xiao Ma, Xi'ao Su, Xin-yu Dai
Existing question answering systems can only predict answers without explicit reasoning processes, which hinder their explainability and make us overestimate their ability of understanding and reasoning over natural language.
no code implementations • 1 Apr 2020 • Mohamed Naveed Gul Mohamed, Suman Chakravorty, Raman Goyal, Ran Wang
We consider the problem of nonlinear stochastic optimal control.
no code implementations • 21 Feb 2020 • Ran Wang, Karthikeya S. Parunandi, Aayushman Sharma, Raman Goyal, Suman Chakravorty
The problem of Reinforcement Learning (RL) in an unknown nonlinear dynamical system is equivalent to the search for an optimal feedback law utilizing the simulations/ rollouts of the dynamical system.
no code implementations • 6 Aug 2019 • Ran Wang, Suhe Ye, Ke Li, Sam Kwong
Classifier chain (CC) is a multi-label learning approach that constructs a sequence of binary classifiers according to a label order.
2 code implementations • 9 Jul 2019 • Ran Wang, Haibo Su, Chunye Wang, Kailin Ji, Jupeng Ding
In this regard, Peters et al. perform several experiments which demonstrate that it is better to adapt BERT with a light-weight task-specific head, rather than building a complex one on top of the pre-trained language model, and freeze the parameters in the said language model.
1 code implementation • 27 Jun 2019 • Longbin Lai, Zhu Qing, Zhengyi Yang, Xin Jin, Zhengmin Lai, Ran Wang, Kongzhang Hao, Xuemin Lin, Lu Qin, Wenjie Zhang, Ying Zhang, Zhengping Qian, Jingren Zhou
We conduct extensive experiments for both unlabelled matching and labelled matching to analyze the performance of distributed subgraph matching under various settings, which is finally summarized as a practical guide.
Databases
no code implementations • NAACL 2019 • Hao-Ran Wei, Shu-Jian Huang, Ran Wang, Xin-yu Dai, Jia-Jun Chen
Our method on-the-fly generates a teacher model from checkpoints, guiding the training process to obtain better performance.
1 code implementation • 17 Apr 2019 • Ran Wang, Karthikeya Parunandi, Dan Yu, Dileep Kalathil, Suman Chakravorty
This paper proposes a novel decoupled data-based control (D2C) algorithm that addresses this problem using a decoupled, `open loop - closed loop', approach.
no code implementations • 18 Nov 2018 • Shenghe Xu, Pei Liu, Ran Wang, Shivendra S. Panwar
With the increasing number of base stations (BSs) and network densification in 5G, interference management using link scheduling and power control are vital for better utilization of radio resources.
no code implementations • 6 Nov 2018 • Ran Wang, Yao Wang, Adeen Flinker
The superior temporal gyrus (STG) region of cortex critically contributes to speech recognition.