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Test-Time Scaling (TTS) has proven effective in improving the performance of Large Language Models (LLMs) during inference. However, existing research has overlooked the efficiency of TTS from a latency-sensitive perspective. Through a…

Computation and Language · Computer Science 2025-09-15 Zili Wang , Tianyu Zhang , Haoli Bai , Lu Hou , Xianzhi Yu , Wulong Liu , Shiming Xiang , Lei Zhu

In this letter, we study interleave frequency division multiplexing (IFDM) for multicarrier modulation in static multipath and mobile time-varying channels, which outperforms orthogonal frequency division multiplexing (OFDM), orthogonal…

Information Theory · Computer Science 2024-05-07 Yuhao Chi , Lei Liu , Yao Ge , Xuehui Chen , Ying Li , Zhaoyang Zhang

Deep learning has made revolutionary advances to diverse applications in the presence of large-scale labeled datasets. However, it is prohibitively time-costly and labor-expensive to collect sufficient labeled data in most realistic…

Machine Learning · Computer Science 2021-07-22 Ximei Wang , Jinghan Gao , Mingsheng Long , Jianmin Wang

Few-shot text classification aims to recognize unseen classes with limited labeled text samples. Existing approaches focus on boosting meta-learners by developing complex algorithms in the training stage. However, the labeled samples are…

Machine Learning · Computer Science 2026-03-04 Yunlong Gao , Xinyue Liu , Yingbo Wang , Linlin Zong , Bo Xu

Differential distributed space-time coding (D-DSTC) has been considered to improve both diversity and data-rate in cooperative communications in the absence of channel information. However, conventionally, it is assumed that relays are…

Information Theory · Computer Science 2016-11-17 M. R. Avendi , Sina Poorkasmaei , Hamid Jafarkhani

Irregular multivariate time series (IMTS) is characterized by the lack of synchronized observations across its different channels. In this paper, we point out that this channel-wise asynchrony can lead to poor channel-wise modeling of…

Machine Learning · Computer Science 2025-09-23 Shuhan Zhong , Weipeng Zhuo , Sizhe Song , Guanyao Li , Zhongyi Yu , S. -H. Gary Chan

High-mobility scenarios will be a critical part of 6G systems. Since the widely deployed orthogonal frequency division multiplexing (OFDM) waveform suffers from subcarrier orthogonality loss under severe Doppler spread, delay-Doppler domain…

Signal Processing · Electrical Eng. & Systems 2026-05-12 Yiyan Ma , Bo Ai , Jinhong Yuan , Shuangyang Li , Qingqing Cheng , Zhenguo Shi , Weijie Yuan , Zhiqiang Wei , Akram Shafie , Guoyu Ma , Yunlong Lu , Mi Yang , Zhangdui Zhong

The major challenge of learning from multi-label data has arisen from the overwhelming size of label space which makes this problem NP-hard. This problem can be alleviated by gradually involving easy to hard tags into the learning process.…

Machine Learning · Computer Science 2019-10-09 Seyed Amjad Seyedi , S. Siamak Ghodsi , Fardin Akhlaghian , Mahdi Jalili , Parham Moradi

The orthogonal time frequency space (OTFS) modulation as a promising signal representation attracts growingcinterest for integrated sensing and communication (ISAC), yet its merits over orthogonal frequency division multiplexing (OFDM)…

Signal Processing · Electrical Eng. & Systems 2023-04-28 Bowen Wang , Jianchi Zhu , Xiaoming She , Peng Chen

Due to the publicly-known deterministic character- istic of pilot tones, pilot-aware attack, by jamming, nulling and spoofing pilot tones, can significantly paralyze the uplink channel training in large-scale MISO-OFDM systems. To solve…

Signal Processing · Electrical Eng. & Systems 2018-03-07 Dongyang Xu , Pinyi Ren , James A. Ritcey

This paper proposes orthogonal time sequency multiplexing (OTSM), a novel single carrier modulation scheme that places information symbols in the delay-sequency domain followed by a cascade of time-division multiplexing (TDM) and…

Signal Processing · Electrical Eng. & Systems 2021-06-22 Tharaj Thaj , Emanuele Viterbo , Yi Hong

Recent studies on learning with noisy labels have shown remarkable performance by exploiting a small clean dataset. In particular, model agnostic meta-learning-based label correction methods further improve performance by correcting noisy…

Machine Learning · Computer Science 2022-07-13 Seong Min Kye , Kwanghee Choi , Joonyoung Yi , Buru Chang

Single-wavelength 400G coherent optical communications have become a critical solution to meet the explosive traffic demands. However, the single-carrier modulation using low-order modulation formats requires a broader wavelength division…

Networking and Internet Architecture · Computer Science 2025-08-26 Haide Wang , Ji Zhou , Yongcheng Li , Weiping Liu , Changyuan Yu , Xiangjun Xin , Liangchuan Li

Timing detection is the first step and very important in wireless communication systems. Timing detection performance is usually affected by the frequency offset. Therefore, it is a challenge to design the synchronization signal in massive…

Signal Processing · Electrical Eng. & Systems 2017-10-02 Jun Zou

Ambiguity performance is a critical criterion in radar sensor design, which indicates the ambiguities arising from multiple target estimation and detection. We considered a requirement-driven selection of OFDM reference signal (RS) patterns…

Signal Processing · Electrical Eng. & Systems 2024-04-26 Rui Zhang , Shawn Tsai , Tzu-Han Chou , Jiaying Ren

Channel estimation is one of the most important parts in current mobile communication systems. Among the huge contributions in channel estimation studies, the discrete Fourier transform (DFT)-based channel estimation has attracted lots of…

Information Theory · Computer Science 2015-04-29 H. Yu , C. Yang

Representing a true label as a one-hot vector is a common practice in training text classification models. However, the one-hot representation may not adequately reflect the relation between the instances and labels, as labels are often not…

Computation and Language · Computer Science 2020-12-10 Biyang Guo , Songqiao Han , Xiao Han , Hailiang Huang , Ting Lu

As a promising technique for high-mobility wireless communications, orthogonal time frequency space (OTFS) has been proved to enjoy excellent advantages with respect to traditional orthogonal frequency division multiplexing (OFDM). Although…

Data Structures and Algorithms · Computer Science 2023-06-22 Mi Qian , Fei Ji , Yao Ge , Miaowen Wen , Xiang Cheng , H. Vincent Poor

Terahertz (THz) communication is widely considered as a key enabler for future 6G wireless systems. However, THz links are subject to high propagation losses and inter-symbol interference due to the frequency selectivity of the channel.…

Information Theory · Computer Science 2021-02-16 Konstantinos Dovelos , Michail Matthaiou , Hien Quoc Ngo , Boris Bellalta

The discussion on using zero padding (ZP) instead of a cyclic prefix (CP) for enhancing channel estimation and equalization performance is a recurring topic in waveform design for future wireless systems that high spectral efficiency and…

Information Theory · Computer Science 2023-03-15 Koosha Pourtahmasi Roshandeh , Mostafa Mohammadkarimi , Masoud Ardakani