1 code implementation • ACL 2022 • Kaiqiang Song, Chen Li, Xiaoyang Wang, Dong Yu, Fei Liu
Summarization of podcast transcripts is of practical benefit to both content providers and consumers.
no code implementations • 12 Nov 2021 • Peizheng Li, Jonathan Thomas, Xiaoyang Wang, Ahmed Khalil, Abdelrahim Ahmad, Rui Inacio, Shipra Kapoor, Arjun Parekh, Angela Doufexi, Arman Shojaeifard, Robert Piechocki
We provide a taxonomy of the challenges faced by ML/RL models throughout the development life-cycle: from the system specification to production deployment (data acquisition, model design, testing and management, etc.).
no code implementations • 29 Sep 2021 • Xiaoyang Wang, Han Zhao, Klara Nahrstedt, Oluwasanmi O Koyejo
To this end, we propose a strategy to mitigate the effect of spurious features based on our observation that the global model in the federated learning step has a low accuracy disparity due to statistical heterogeneity.
no code implementations • 8 Sep 2021 • Dan Su, Jiqiang Liu, Sencun Zhu, Xiaoyang Wang, Wei Wang, Xiangliang Zhang
In this work, we propose AppQ, a novel app quality grading and recommendation system that extracts inborn features of apps based on app source code.
1 code implementation • 24 Jul 2021 • Zhenguang Liu, Peng Qian, Xiaoyang Wang, Yuan Zhuang, Lin Qiu, Xun Wang
Then, we propose a novel temporal message propagation network to extract the graph feature from the normalized graph, and combine the graph feature with designed expert patterns to yield a final detection system.
no code implementations • 3 Mar 2021 • Xiaoyang Wang, Jonathan D Thomas, Robert J Piechocki, Shipra Kapoor, Raul Santos-Rodriguez, Arjun Parekh
Open Radio Access Network (ORAN) is being developed with an aim to democratise access and lower the cost of future mobile data networks, supporting network services with various QoS requirements, such as massive IoT and URLLC.
no code implementations • 3 Mar 2021 • Xiaoyang Wang, Chen Li, Jianqiao Zhao, Dong Yu
To facilitate the research on this corpus, we provide results of several benchmark models.
no code implementations • 15 Jan 2021 • Xiaoyang Wang, Bo Li, Yibo Zhang, Bhavya Kailkhura, Klara Nahrstedt
However, these AutoML pipelines only focus on improving the learning accuracy of benign samples while ignoring the ML model robustness under adversarial attacks.
1 code implementation • 1st Conference on Causal Learning and Reasoning 2022 • Xiaoyang Wang, Klara Nahrstedt, Oluwasanmi O Koyejo
Current approaches for learning disentangled representations assume that independent latent variables generate the data through a single data generation process.
no code implementations • 9 Nov 2020 • Kaiqiang Song, Chen Li, Xiaoyang Wang, Dong Yu, Fei Liu
Instead, we investigate several less-studied aspects of neural abstractive summarization, including (i) the importance of selecting important segments from transcripts to serve as input to the summarizer; (ii) striking a balance between the amount and quality of training instances; (iii) the appropriate summary length and start/end points.
4 code implementations • 27 Jul 2020 • Chaoyang He, Songze Li, Jinhyun So, Xiao Zeng, Mi Zhang, Hongyi Wang, Xiaoyang Wang, Praneeth Vepakomma, Abhishek Singh, Hang Qiu, Xinghua Zhu, Jianzong Wang, Li Shen, Peilin Zhao, Yan Kang, Yang Liu, Ramesh Raskar, Qiang Yang, Murali Annavaram, Salman Avestimehr
Federated learning (FL) is a rapidly growing research field in machine learning.
no code implementations • ACL 2020 • Zhenyi Wang, Xiaoyang Wang, Bang An, Dong Yu, Changyou Chen
Text generation from a knowledge base aims to translate knowledge triples to natural language descriptions.
no code implementations • 4 Oct 2019 • Hong Jiang, Jong-Hoon Ahn, Xiaoyang Wang
We will develop a theoretical framework to characterize the signals that can be robustly recovered from their observations by an ML algorithm, and establish a Lipschitz condition on signals and observations that is both necessary and sufficient for the existence of a robust recovery.
no code implementations • 1 Jul 2019 • Xiaoyang Wang, Ioannis Mavromatis, Andrea Tassi, Raul Santos-Rodriguez, Robert J. Piechocki
Future Connected and Automated Vehicles (CAV), and more generally ITS, will form a highly interconnected system.
no code implementations • 9 Nov 2018 • Yang Fu, Xiaoyang Wang, Yunchao Wei, Thomas Huang
Thus, a more robust clip-level feature representation can be generated according to a weighted sum operation guided by the mined 2-D attention score matrix.
no code implementations • 25 Jun 2018 • Shujian Yu, Xiaoyang Wang, Jose C. Principe
In this paper, a novel Hierarchical Hypothesis Testing framework with Request-and-Reverify strategy is developed to detect concept drifts by requesting labels only when necessary.
no code implementations • CVPR 2015 • Xiaoyang Wang, Qiang Ji
Video event recognition still faces great challenges due to large intra-class variation and low image resolution, in particular for surveillance videos.
no code implementations • The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014 2014 • Xiaoyang Wang, Qiang Ji
These three levels of context provide crucial bottom-up, middle level, and top down information that can benefit the recognition task itself.
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Action Recognition
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