Search Results - "Guolong Su"

Performance Analysis of $l_0$ Norm Constraint Least Mean Square Algorithm by Su, Guolong, Jin, Jian, Gu, Yuantao, Wang, Jian

“…As one of the recently proposed algorithms for sparse system identification, l 0 norm constraint Least Mean Square ( l 0 -LMS) algorithm modifies the cost…”
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The Impact of Node Selfishness on Multicasting in Delay Tolerant Networks by Yong Li, Guolong Su, Wu, D O, Depeng Jin, Li Su, Lieguang Zeng

“…Due to the uncertainty of transmission opportunities between mobile nodes, delay tolerant networks (DTNs) exploit the opportunistic forwarding mechanism. This…”
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Mixer sequence design for N-path filters by Guolong Su, Redfern, Arthur J.

“…N-path filters are a practical method for implementing high Q band pass filters in modern CMOS processes without inductors using a combination of mixers and…”
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Exact and approximate polynomial decomposition methods for signal processing applications by Demirtas, Sefa, Guolong Su, Oppenheim, Alan V.

“…Signal processing is a discipline in which functional composition and decomposition can potentially be utilized in a variety of creative ways. From an analysis…”
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Learning to Prompt for Continual Learning by Wang, Zifeng, Zhang, Zizhao, Lee, Chen-Yu, Zhang, Han, Sun, Ruoxi, Ren, Xiaoqi, Su, Guolong, Perot, Vincent, Dy, Jennifer, Pfister, Tomas

“…The mainstream paradigm behind continual learning has been to adapt the model parameters to non-stationary data distributions, where catastrophic forgetting is…”
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Learning sparse two-level boolean rules by Guolong Su, Wei, Dennis, Varshney, Kush R., Malioutov, Dmitry M.

“…This paper develops a novel optimization framework for learning accurate and sparse two-level Boolean rules for classification, both in Conjunctive Normal Form…”
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Evaluating the effects of node cooperation on DTN routing by Li, Yong, Su, Guolong, Wang, Zhaocheng

“…Due to the uncertainty of transmission opportunities between mobile nodes, delay tolerant networks (DTN) routing exploits the opportunistic forwarding…”
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An Improved YOLOv8 Algorithm for Aerial Image Detection by Su, Guolong, Zhu, Changming

“…In recent years, the rapid development of UAV technology has promoted the widespread application of UAV aerial imagery in urban planning, environmental…”
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Performance Analysis of [Formula Omitted] Norm Constraint Least Mean Square Algorithm by Su, Guolong, Jin, Jian, Gu, Yuantao, Wang, Jian

“…As one of the recently proposed algorithms for sparse system identification, [Formula Omitted] norm constraint Least Mean Square ([Formula Omitted]-LMS)…”
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Performance Analysis of l0 Norm Constraint Least Mean Square Algorithm by Guolong Su, Jian Jin, Yuantao Gu, Jian Wang

“…As one of the recently proposed algorithms for sparse system identification, I 0 norm constraint Least Mean Square (io-LMS) algorithm modifies the cost…”
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Performance analysis of L0-LMS with Gaussian input signal by Guolong Su, Jian Jin, Yuantao Gu

“…Sparse signal processing has attracted much attention in recent years. l 0 -LMS, which inserts a penalty of approximated l 0 norm in the cost function of…”
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Optimal Multi-Frame Message Transmission for Intermittently Connected Mobile Networks by Guolong Su, Yong Li, Fang Wang, Depeng Jin, Li Su, Lieguang Zeng

“…In order to provide communication service in the Intermittently Connected Mobile Networks (ICMN) where there is only intermittent connectivity between mobile…”
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Noise-Aware Training of Layout-Aware Language Models by Sarkhel, Ritesh, Ren, Xiaoqi, Costa, Lauro Beltrao, Su, Guolong, Perot, Vincent, Xie, Yanan, Koukoumidis, Emmanouil, Nandi, Arnab

“…A visually rich document (VRD) utilizes visual features along with linguistic cues to disseminate information. Training a custom extractor that identifies…”
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Sensitivity of polynomial composition and decomposition for signal processing applications by Demirtas, S., Su, G., Oppenheim, A. V.

“…Polynomial composition is well studied in mathematics but has only been exploited indirectly and informally in signal processing. Potential future application…”
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QueryForm: A Simple Zero-shot Form Entity Query Framework by Wang, Zifeng, Zhang, Zizhao, Devlin, Jacob, Lee, Chen-Yu, Su, Guolong, Zhang, Hao, Dy, Jennifer, Perot, Vincent, Pfister, Tomas

“…Zero-shot transfer learning for document understanding is a crucial yet under-investigated scenario to help reduce the high cost involved in annotating…”
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LMDX: Language Model-based Document Information Extraction and Localization by Perot, Vincent, Kang, Kai, Luisier, Florian, Su, Guolong, Sun, Xiaoyu, Boppana, Ramya Sree, Wang, Zilong, Wang, Zifeng, Mu, Jiaqi, Zhang, Hao, Lee, Chen-Yu, Hua, Nan

“…Large Language Models (LLM) have revolutionized Natural Language Processing (NLP), improving state-of-the-art and exhibiting emergent capabilities across…”
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FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction by Lee, Chen-Yu, Li, Chun-Liang, Zhang, Hao, Dozat, Timothy, Perot, Vincent, Su, Guolong, Zhang, Xiang, Sohn, Kihyuk, Glushnev, Nikolai, Wang, Renshen, Ainslie, Joshua, Long, Shangbang, Qin, Siyang, Fujii, Yasuhisa, Hua, Nan, Pfister, Tomas

“…The recent advent of self-supervised pre-training techniques has led to a surge in the use of multimodal learning in form document understanding. However,…”
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DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning by Wang, Zifeng, Zhang, Zizhao, Ebrahimi, Sayna, Sun, Ruoxi, Zhang, Han, Lee, Chen-Yu, Ren, Xiaoqi, Su, Guolong, Perot, Vincent, Dy, Jennifer, Pfister, Tomas

“…Continual learning aims to enable a single model to learn a sequence of tasks without catastrophic forgetting. Top-performing methods usually require a…”
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FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction by Lee, Chen-Yu, Li, Chun-Liang, Dozat, Timothy, Perot, Vincent, Su, Guolong, Hua, Nan, Ainslie, Joshua, Wang, Renshen, Fujii, Yasuhisa, Pfister, Tomas

“…Sequence modeling has demonstrated state-of-the-art performance on natural language and document understanding tasks. However, it is challenging to correctly…”
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Learning to Prompt for Continual Learning by Wang, Zifeng, Zhang, Zizhao, Lee, Chen-Yu, Zhang, Han, Sun, Ruoxi, Ren, Xiaoqi, Su, Guolong, Perot, Vincent, Dy, Jennifer, Pfister, Tomas

“…The mainstream paradigm behind continual learning has been to adapt the model parameters to non-stationary data distributions, where catastrophic forgetting is…”
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