no code implementations • 2 Nov 2023 • Yifei Sun, Bojie Lv, Rui Wang, Haisheng Tan, Francis C. M. Lau
As a result, the AoI degradation arising from link blockage can be forecast and mitigated.
no code implementations • 4 May 2023 • QiPeng Wang, Liang Liu, Shuowen Zhang, Boya Di, Francis C. M. Lau
In this paper, we show that the distance between a target and its associated IRS can be indirectly estimated based on the length of the BS-target-BS path and the BS-target-IRS-BS path.
no code implementations • 29 Mar 2023 • Yifei Sun, Bojie Lv, Rui Wang, Haisheng Tan, Francis C. M. Lau
Millimeter wave (MmWave) has been regarded as a promising technology to support high-capacity communications in 5G era.
no code implementations • 26 Mar 2023 • Dacheng Wen, Yupeng Li, Francis C. M. Lau
We further shed light on many real-world datasets and simulators that are indispensable for empirical studies on machine learning-based ride-hailing planning strategies.
no code implementations • 6 Nov 2022 • Yupeng Li, Haorui He, Shaonan Wang, Francis C. M. Lau, Yunya Song
In response, we address a new task called conversational stance detection which is to infer the stance towards a given target (e. g., COVID-19 vaccination) when given a data instance and its corresponding conversation thread.
no code implementations • 25 May 2022 • QiPeng Wang, Liang Liu, Shuowen Zhang, Francis C. M. Lau
The classic trilateration technique can localize each target based on its distances to three anchors with known coordinates.
1 code implementation • 5 Jan 2022 • QiPeng Wang, Liang Liu, Shuowen Zhang, Francis C. M. Lau
In particular, we propose to leverage the temporal correlation in device activity, e. g., a device active in the previous coherence block is more likely to be still active in the current coherence block, to improve the detection and estimation performance.
1 code implementation • 12 Nov 2021 • Dongda Li, Zhaoquan Gu, Yuexuan Wang, Changwei Ren, Francis C. M. Lau
In this paper, we propose a Recurrent Conditional Query Learning (RCQL) method to solve both 2D and 3D packing problems.
1 code implementation • 27 Jan 2021 • QiPeng Wang, Liang Liu, Shuowen Zhang, Francis C. M. Lau
In particular, we propose to leverage the temporal correlation in user activity, i. e., a device active at the previous time slot is more likely to be still active at the current moment, to improve the detection performance.
Action Detection Activity Detection Information Theory Signal Processing Information Theory
1 code implementation • 26 Apr 2016 • Yixin Bao, Xiaoke Wang, Zhi Wang, Chuan Wu, Francis C. M. Lau
Nevertheless, the existing studies mostly investigate the problem on a one-off basis, assuming fixed known influence probabilities among users, or the knowledge of the exact social network topology.
no code implementations • 27 Nov 2015 • Chunting Zhou, Chonglin Sun, Zhiyuan Liu, Francis C. M. Lau
In this paper, we incorporate category information of documents in the learning of word representations and to learn the proposed models in a document-wise manner.
10 code implementations • 27 Nov 2015 • Chunting Zhou, Chonglin Sun, Zhiyuan Liu, Francis C. M. Lau
In this work, we combine the strengths of both architectures and propose a novel and unified model called C-LSTM for sentence representation and text classification.
Ranked #10 on Text Classification on TREC-6