Search Results for author: Bowen Wang

Found 31 papers, 11 papers with code

Task-Oriented Hybrid Beamforming for OFDM-DFRC Systems with Flexibly Controlled Space-Frequency Spectra

no code implementations18 Mar 2024 Lingyun Xu, Bowen Wang, Ziyang Cheng

This paper investigates the issues of the hybrid beamforming design for the orthogonal frequency division multiplexing dual-function radar-communication (DFRC) system in multiple task scenarios involving the radar scanning and detection task and the target tracking task.

APAR: LLMs Can Do Auto-Parallel Auto-Regressive Decoding

no code implementations12 Jan 2024 Mingdao Liu, Aohan Zeng, Bowen Wang, Peng Zhang, Jie Tang, Yuxiao Dong

The massive adoption of large language models (LLMs) demands efficient deployment strategies.

Towards Robust and Accurate Visual Prompting

no code implementations18 Nov 2023 Qi Li, Liangzhi Li, Zhouqiang Jiang, Bowen Wang

Visual prompting, an efficient method for transfer learning, has shown its potential in vision tasks.

Adversarial Robustness Transfer Learning +1

Instruct Me More! Random Prompting for Visual In-Context Learning

1 code implementation7 Nov 2023 Jiahao Zhang, Bowen Wang, Liangzhi Li, Yuta Nakashima, Hajime Nagahara

Our findings suggest that InMeMo offers a versatile and efficient way to enhance the performance of visual ICL with lightweight training.

Foreground Segmentation In-Context Learning +2

Concatenated Masked Autoencoders as Spatial-Temporal Learner

1 code implementation2 Nov 2023 Zhouqiang Jiang, Bowen Wang, Tong Xiang, Zhaofeng Niu, Hong Tang, Guangshun Li, Liangzhi Li

Learning representations from videos requires understanding continuous motion and visual correspondences between frames.

Action Recognition Data Augmentation +4

TCRA-LLM: Token Compression Retrieval Augmented Large Language Model for Inference Cost Reduction

no code implementations24 Oct 2023 Junyi Liu, Liangzhi Li, Tong Xiang, Bowen Wang, Yiming Qian

Our summarization compression can reduce 65% of the retrieval token size with further 0. 3% improvement on the accuracy; semantic compression provides a more flexible way to trade-off the token size with performance, for which we can reduce the token size by 20% with only 1. 6% of accuracy drop.

Food recommendation In-Context Learning +3

AgentTuning: Enabling Generalized Agent Abilities for LLMs

1 code implementation19 Oct 2023 Aohan Zeng, Mingdao Liu, Rui Lu, Bowen Wang, Xiao Liu, Yuxiao Dong, Jie Tang

Though many prompting methods have been proposed to complete particular agent tasks, there is lack of research focusing on improving the agent capabilities of LLMs themselves without compromising their general abilities.


IncreLoRA: Incremental Parameter Allocation Method for Parameter-Efficient Fine-tuning

1 code implementation23 Aug 2023 Feiyu Zhang, Liangzhi Li, JunHao Chen, Zhouqiang Jiang, Bowen Wang, Yiming Qian

This approach is different from the pruning method as it is not limited by the initial number of training parameters, and each parameter matrix has a higher rank upper bound for the same training overhead.

CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant Care

1 code implementation NeurIPS 2023 Tong Xiang, Liangzhi Li, Wangyue Li, Mingbai Bai, Lu Wei, Bowen Wang, Noa Garcia

In an effort to minimize the reliance on human resources for performance evaluation, we offer off-the-shelf judgment models for automatically assessing the LF output of LLMs given benchmark questions.


Cramer-Rao Lower Bound Analysis for OTFS and OFDM Modulation Systems

no code implementations27 Apr 2023 Bowen Wang, Jianchi Zhu, Xiaoming She, Peng Chen

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) remain controversial.

Learning Bottleneck Concepts in Image Classification

1 code implementation CVPR 2023 Bowen Wang, Liangzhi Li, Yuta Nakashima, Hajime Nagahara

Using some image classification tasks as our testbed, we demonstrate BotCL's potential to rebuild neural networks for better interpretability.

Classification Image Classification

Relative Entropy-Based Constant-Envelope Beamforming for Target Detection in Large-Scale MIMO Radar With Low-Resoultion ADCs

no code implementations19 Jan 2023 Ziyang Cheng, Linlong Wu, Bowen Wang, Julan Xie, Huiyong Li

In the second stage, an efficient iterative algorithm based on majorization-minimization is presented to obtain the constant-envelope beamformer according to the attained transmit power.

A Dual-Function Radar-Communication System Empowered by Beyond Diagonal Reconfigurable Intelligent Surface

no code implementations9 Jan 2023 Bowen Wang, Hongyu Li, Shanpu Shen, Ziyang Cheng, Bruno Clerckx

This work focuses on the use of reconfigurable intelligent surface (RIS) in dual-function radar-communication (DFRC) systems to improve communication capacity and sensing precision, and enhance coverage for both functions.

Multi-Task Mixture Density Graph Neural Networks for Predicting Cu-based Single-Atom Alloy Catalysts for CO2 Reduction Reaction

no code implementations15 Sep 2022 Chen Liang, Bowen Wang, Shaogang Hao, Guangyong Chen, Pheng-Ann Heng, Xiaolong Zou

Graph neural networks (GNNs) have drawn more and more attention from material scientists and demonstrated a high capacity to establish connections between the structure and properties.

Dynamic Hybrid Beamforming Design for Dual-Function Radar-Communication Systems

no code implementations11 Sep 2022 Bowen Wang, Hongyu Li, Ziyang Cheng

This paper investigates dynamic hybrid beamforming (HBF) for a dual-function radar-communication (DFRC) system, where the DFRC base station (BS) simultaneously serves multiple single-antenna users and senses a target in the presence of multiple clutters.

Hybrid Beamforming in mmWave Dual-Function Radar-Communication Systems: Models, Technologies, and Challenges

no code implementations10 Sep 2022 Ziyang Cheng, Linlong Wu, Bowen Wang, Bhavani Shankar, Bin Liao, Björn Ottersten

As a promising technology in beyond-5G (B5G) and 6G, dual-function radar-communication (DFRC) aims to ensure both radar sensing and communication on a single integrated platform with unified signaling schemes.

Double-Phase-Shifter based Hybrid Beamforming for mmWave DFRC in the Presence of Extended Target and Clutters

no code implementations5 Dec 2021 Ziyang Cheng, Linlong Wu, Bowen Wang, Bhavani Shankar M. R., Björn Ottersten

In millimeter-wave (mmWave) dual-function radar-communication (DFRC) systems, hybrid beamforming (HBF) is recognized as a promising technique utilizing a limited number of radio frequency chains.

Panoptic-aware Image-to-Image Translation

no code implementations3 Dec 2021 Liyun Zhang, Photchara Ratsamee, Bowen Wang, Zhaojie Luo, Yuki Uranishi, Manabu Higashida, Haruo Takemura

The panoptic perception (i. e., foreground instances and background semantics of the image scene) is extracted to achieve alignment between object content codes of the input domain and panoptic-level style codes sampled from the target style space, then refined by a proposed feature masking module for sharping object boundaries.

Image-to-Image Translation Object +3

Manifold Optimization Methods for Hybrid beamforming in mmWave Dual-Function Radar-Communication System

no code implementations30 Nov 2021 Bowen Wang, Ziyang Cheng, Zishu He

This paper considers two hybrid beamforming architectures, i. e. the partially-connected and fully-connected structures, for mmWave dual-function radar communication (DFRC) system, where the transmitter communicates with the downlink users and detects radar targets simultaneously.

Riemannian optimization

Match Them Up: Visually Explainable Few-shot Image Classification

1 code implementation25 Nov 2020 Bowen Wang, Liangzhi Li, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara

Few-shot learning (FSL) approaches are usually based on an assumption that the pre-trained knowledge can be obtained from base (seen) categories and can be well transferred to novel (unseen) categories.

Classification Few-Shot Image Classification +2

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