no code implementations • 31 Jan 2023 • Xiang Lin, Prathyusha Jwalapuram, Shafiq Joty
Scheduled sampling is a curriculum learning strategy that gradually exposes the model to its own predictions during training to mitigate this bias.
2 code implementations • ACL 2022 • Shankar Kantharaj, Rixie Tiffany Ko Leong, Xiang Lin, Ahmed Masry, Megh Thakkar, Enamul Hoque, Shafiq Joty
We also introduce a number of state-of-the-art neural models as baselines that utilize image captioning and data-to-text generation techniques to tackle two problem variations: one assumes the underlying data table of the chart is available while the other needs to extract data from chart images.
no code implementations • ACL 2022 • Prathyusha Jwalapuram, Shafiq Joty, Xiang Lin
Given the claims of improved text generation quality across various pre-trained neural models, we consider the coherence evaluation of machine generated text to be one of the principal applications of coherence models that needs to be investigated.
no code implementations • 11 Oct 2021 • Xiang Lin, Shenghang Luo, Sunish Kumar Orappanpara Soman, Octavia A. Dobre, Lutz Lampe, Deyuan Chang, Chuandong Li
The proposed scheme is evaluated by numerical simulations of a single carrier optical fiber communication system operating at 32 Gbaud with 64-quadrature amplitude modulation and 20*80 km transmission distance.
1 code implementation • 14 Jun 2021 • Xiang Lin, Simeng Han, Shafiq Joty
Advanced large-scale neural language models have led to significant success in many language generation tasks.
no code implementations • 24 Feb 2021 • Jinyin Chen, Xiang Lin, Dunjie Zhang, Wenrong Jiang, Guohan Huang, Hui Xiong, Yun Xiang
To the best of our knowledge, this is the first targeted label attack technique.
no code implementations • 19 Sep 2020 • Ya-guan Qian, Qiqi Shao, Jia-min Wang, Xiang Lin, Yankai Guo, Zhaoquan Gu, Bin Wang, Chunming Wu
This dynamic defense can prohibit the adversary from selecting an optimal substitute model for black-box attacks.
no code implementations • 2020 IEEE Fifth International Conference on Data Science in Cyberspace (DSC) 2020 • Tianpeng Ye, Yinghua Ma, Xiang Lin, Jianhua Li
It leads to lacking fine-grained analysis and generalization ability of the stance detection algorithm.
no code implementations • EACL 2021 • Tasnim Mohiuddin, Prathyusha Jwalapuram, Xiang Lin, Shafiq Joty
Although coherence modeling has come a long way in developing novel models, their evaluation on downstream applications for which they are purportedly developed has largely been neglected.
no code implementations • 8 Nov 2019 • Simeng Han, Xiang Lin, Shafiq Joty
The resulting attention module offers an architecturally simple and empirically effective method to improve the coverage of neural text generation.
no code implementations • 17 Sep 2019 • Abdelkerim Amari, Xiang Lin, Octavia A. Dobre, Ramachandran Venkatesan, Alex Alvarado
Machine learning techniques have recently received significant attention as promising approaches to deal with the optical channel impairments, and in particular, the nonlinear effects.
1 code implementation • IJCNLP 2019 • Linlin Liu, Xiang Lin, Shafiq Joty, Simeng Han, Lidong Bing
Transition-based top-down parsing with pointer networks has achieved state-of-the-art results in multiple parsing tasks, while having a linear time complexity.
2 code implementations • ACL 2019 • Xiang Lin, Shafiq Joty, Prathyusha Jwalapuram, M Saiful Bari
We propose an efficient neural framework for sentence-level discourse analysis in accordance with Rhetorical Structure Theory (RST).
no code implementations • 12 Apr 2019 • Jinyin Chen, Yangyang Wu, Lu Fan, Xiang Lin, Haibin Zheng, Shanqing Yu, Qi Xuan
In particular, we use a bipartite network to construct the user-item network, and represent the interactions among users (or items) by the corresponding one-mode projection network.
no code implementations • 11 Mar 2019 • Jinyin Chen, Yangyang Wu, Xiang Lin, Qi Xuan
In this paper, we are interested in the possibility of defense against adversarial attack on network, and propose defense strategies for GNNs against attacks.
Social and Information Networks Physics and Society
no code implementations • 27 Feb 2019 • Abdelkerim Amari, Xiang Lin, Octavia A. Dobre, Ramachandran Venkatesan, Alex Alvarado
In this case, digital back propagation compensates for the deterministic nonlinearity and the Parzen window deals with the stochastic nonlinear signal-noise interactions, which are not taken into account by digital back propagation.