no code implementations • 30 Sep 2023 • Xuansheng Wu, Wenlin Yao, Jianshu Chen, Xiaoman Pan, Xiaoyang Wang, Ninghao Liu, Dong Yu
Large Language Models (LLMs) have achieved remarkable success, demonstrating powerful instruction-following capabilities across diverse tasks.
no code implementations • 8 Sep 2023 • Haopeng Zhang, Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Hongwei Wang, Jiawei Zhang, Dong Yu
SRI balances the importance and diversity of a subset of sentences from the source documents and can be calculated in unsupervised and adaptive manners.
no code implementations • 1 Aug 2023 • Jiaao Chen, Xiaoman Pan, Dian Yu, Kaiqiang Song, Xiaoyang Wang, Dong Yu, Jianshu Chen
Compositional generalization empowers the LLMs to solve problems that are harder than the ones they have seen (i. e., easy-to-hard generalization), which is a critical reasoning capability of human-like intelligence.
Ranked #5 on
Math Word Problem Solving
on MATH
1 code implementation • 8 Jun 2023 • Shanshan Han, Baturalp Buyukates, Zijian Hu, Han Jin, Weizhao Jin, Lichao Sun, Xiaoyang Wang, Wenxuan Wu, Chulin Xie, Yuhang Yao, Kai Zhang, Qifan Zhang, Yuhui Zhang, Salman Avestimehr, Chaoyang He
This paper introduces FedMLSecurity, a benchmark designed to simulate adversarial attacks and corresponding defense mechanisms in Federated Learning (FL).
no code implementations • 2 Jun 2023 • Canjia Li, Xiaoyang Wang, Dongdong Li, Yiding Liu, Yu Lu, Shuaiqiang Wang, Zhicong Cheng, Simiu Gu, Dawei Yin
In this work, we focus on ranking user satisfaction rather than relevance in web search, and propose a PLM-based framework, namely SAT-Ranker, which comprehensively models different dimensions of user satisfaction in a unified manner.
no code implementations • 24 May 2023 • Yebowen Hu, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Hassan Foroosh, Fei Liu
The impact of hidden factors on the final judgment is also unclear.
no code implementations • 24 Feb 2023 • Mohammud J. Bocus, Xiaoyang Wang, Robert. J. Piechocki
This paper presents a novel approach for multimodal data fusion based on the Vector-Quantized Variational Autoencoder (VQVAE) architecture.
no code implementations • ICCV 2023 • Zheng Fang, Xiaoyang Wang, Haocheng Li, Jiejie Liu, Qiugui Hu, Jimin Xiao
In this paper, we propose a few-shot anomaly detection strategy that works in a low-data regime and can generalize across products at no cost.
1 code implementation • CVPR 2023 • Xiaoyang Wang, Bingfeng Zhang, Limin Yu, Jimin Xiao
Inspired by density-based unsupervised clustering, we propose to leverage feature density to locate sparse regions within feature clusters defined by label and pseudo labels.
1 code implementation • 19 Dec 2022 • Xianjun Yang, Kaiqiang Song, Sangwoo Cho, Xiaoyang Wang, Xiaoman Pan, Linda Petzold, Dong Yu
Specifically, zero/few-shot and fine-tuning results show that the model pre-trained on our corpus demonstrates a strong aspect or query-focused generation ability compared with the backbone model.
1 code implementation • 28 Oct 2022 • Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Fei Liu, Dong Yu
The problem is only exacerbated by a lack of segmentation in transcripts of audio/video recordings.
Ranked #5 on
Text Summarization
on Pubmed
1 code implementation • 22 Oct 2022 • Fei Wang, Kaiqiang Song, Hongming Zhang, Lifeng Jin, Sangwoo Cho, Wenlin Yao, Xiaoyang Wang, Muhao Chen, Dong Yu
Recent literature adds extractive summaries as guidance for abstractive summarization models to provide hints of salient content and achieves better performance.
Ranked #5 on
Abstractive Text Summarization
on CNN / Daily Mail
1 code implementation • 21 Oct 2022 • Yue Yang, Wenlin Yao, Hongming Zhang, Xiaoyang Wang, Dong Yu, Jianshu Chen
Large-scale pretrained language models have made significant advances in solving downstream language understanding tasks.
Ranked #2 on
Visual Commonsense Tests
on ViComTe-color
no code implementations • 4 Oct 2022 • Xiaoyang Wang, Dimitrios Dimitriadis, Sanmi Koyejo, Shruti Tople
Empirical results on three datasets with different modalities and varying numbers of clients further demonstrate that our approach mitigates a broad class of backdoor attacks with a negligible cost on the model utility.
no code implementations • 13 Sep 2022 • Hakan Erdol, Xiaoyang Wang, Peizheng Li, Jonathan D. Thomas, Robert Piechocki, George Oikonomou, Rui Inacio, Abdelrahim Ahmad, Keith Briggs, Shipra Kapoor
In order to provide such services, 5G systems will support various combinations of access technologies such as LTE, NR, NR-U and Wi-Fi.
no code implementations • 31 Aug 2022 • Peizheng Li, Hakan Erdol, Keith Briggs, Xiaoyang Wang, Robert Piechocki, Abdelrahim Ahmad, Rui Inacio, Shipra Kapoor, Angela Doufexi, Arjun Parekh
The model will also be used as the base model for adaptive training in the new environment.
no code implementations • 3 Aug 2022 • Robert J. Piechocki, Xiaoyang Wang, Mohammud J. Bocus
In the second stage, the generative model serves as a reconstruction prior and the search manifold for the sensor fusion tasks.
no code implementations • 27 Jun 2022 • Peizheng Li, Xiaoyang Wang, Robert Piechocki, Shipra Kapoor, Angela Doufexi, Arjun Parekh
Measuring customer experience on mobile data is of utmost importance for global mobile operators.
no code implementations • 8 Jun 2022 • Peizheng Li, Jonathan Thomas, Xiaoyang Wang, Hakan Erdol, Abdelrahim Ahmad, Rui Inacio, Shipra Kapoor, Arjun Parekh, Angela Doufexi, Arman Shojaeifard, Robert Piechocki
One of the main reasons is the modelling gap between the simulation and the real environment, which could make the RL agent trained by simulation ill-equipped for the real environment.
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 for 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 • 1 Nov 2021 • Zhe Zhou, Cong Li, Xuechao Wei, Xiaoyang Wang, Guangyu Sun
However, to realize efficient GNN training is challenging, especially on large graphs.
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.
1 code implementation • TKDE 2020 • Dawei Cheng, Xiaoyang Wang, Ying Zhang, Liqing Zhang
But manually generating features needs domain knowledge and may lay behind the modus operandi of fraud, which means we need to automatically focus on the most relevant fraudulent behavior patterns in the online detection system.
6 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.
Large-Scale Person Re-Identification
Video-Based Person Re-Identification
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.
Ranked #1 on
Action Recognition
on VIRAT Ground 2.0