no code implementations • EMNLP 2020 • Xinhong Chen, Qing Li, JianPing Wang
The causal relationships between emotions and causes in text have recently received a lot of attention.
no code implementations • 28 Nov 2023 • Xinhong Chen, Zongxi Li, YaoWei Wang, Haoran Xie, JianPing Wang, Qing Li
To highlight the context in such special causal relationships, we propose a new task to determine whether or not an input pair of emotion and cause has a valid causal relationship under different contexts and extract the specific context clauses that participate in the causal relationship.
no code implementations • 27 Oct 2023 • Hui Sun, Hao Luo, Feifei Wang, Qingjiu Chen, Meng Chen, Xiaoduo Wang, Haibo Yu, Guanglie Zhang, Lianqing Liu, JianPing Wang, Dapeng Wu, Wen Jung Li
Scanning electron microscopy (SEM) is indispensable in diverse applications ranging from microelectronics to food processing because it provides large depth-of-field images with a resolution beyond the optical diffraction limit.
no code implementations • 30 Jul 2023 • Yang Lou, Qun Song, Qian Xu, Rui Tan, JianPing Wang
Multi-modal fusion has shown initial promising results for object detection of autonomous driving perception.
1 code implementation • 18 Jun 2023 • Zikang Zhou, Zihao Wen, JianPing Wang, Yung-Hui Li, Yu-Kai Huang
For the first time, we show that a joint prediction model can outperform marginal prediction models even on the marginal metrics, which opens up new research opportunities in trajectory prediction.
no code implementations • 31 May 2023 • Zihao Wen, Yifan Zhang, Xinhong Chen, JianPing Wang
Due to the heterogeneity of the map data and trajectory data, many data-driven models for trajectory prediction and motion planning extract vehicle-to-vehicle and vehicle-to-lane interactions in a separate and sequential manner.
1 code implementation • CVPR 2023 • Zikang Zhou, JianPing Wang, Yung-Hui Li, Yu-Kai Huang
A refinement module then takes the trajectory proposals as anchors and leverages anchor-based queries to refine the trajectories further.
Ranked #2 on Motion Forecasting on Argoverse CVPR 2020
1 code implementation • 21 Dec 2022 • Chengtai Cao, Fan Zhou, Yurou Dai, JianPing Wang
Owing to its generalization, MixDA has penetrated a variety of applications which are also completely reviewed in this work.
no code implementations • 27 Oct 2022 • JianPing Wang, Alexander Yarovoy
A generalized matrix-pencil approach is proposed for the estimation of complex exponential components with segmented signal samples, which is very efficient and provides super-resolution estimations.
2 code implementations • CVPR 2022 • Zikang Zhou, Luyao Ye, JianPing Wang, Kui Wu, Kejie Lu
To tackle this challenge, we propose Hierarchical Vector Transformer (HiVT) for fast and accurate multi-agent motion prediction.
Ranked #24 on Motion Forecasting on Argoverse CVPR 2020
no code implementations • 10 Dec 2021 • Yifan Zhang, Xinhong Chen, JianPing Wang, Zuduo Zheng, Kui Wu
Car-following (CF) modeling, an essential component in simulating human CF behaviors, has attracted increasing research interest in the past decades.
no code implementations • 20 Oct 2021 • Jindi Zhang, Yifan Zhang, Kejie Lu, JianPing Wang, Kui Wu, Xiaohua Jia, Bin Liu
In our study, we use real data sets and the state-of-the-art machine learning model to evaluate our attack detection scheme and the results confirm the effectiveness of our detection method.
no code implementations • 30 Aug 2021 • JianPing Wang, Runlong Li, Yuan He, Yang Yang
The effectiveness and accuracy of our proposed complex-valued fully convolutional network (CV-FCN) based interference mitigation approach are verified and analyzed through both simulated and measured radar signals.
no code implementations • 7 Aug 2021 • Wenqi Fan, Wei Jin, Xiaorui Liu, Han Xu, Xianfeng Tang, Suhang Wang, Qing Li, Jiliang Tang, JianPing Wang, Charu Aggarwal
Despite the great success, recent studies have shown that GNNs are highly vulnerable to adversarial attacks, where adversaries can mislead the GNNs' prediction by modifying graphs.
1 code implementation • 6 Aug 2021 • Jindi Zhang, Yang Lou, JianPing Wang, Kui Wu, Kejie Lu, Xiaohua Jia
In this paper, we investigate the impact of two primary types of adversarial attacks, perturbation attacks and patch attacks, on the driving safety of vision-based autonomous vehicles rather than the detection precision of deep learning models.
no code implementations • 12 Jun 2021 • JianPing Wang, Min Ding, Alexander Yarovoy
In this paper, the interference mitigation for Frequency Modulated Continuous Wave (FMCW) radar system with a dechirping receiver is investigated.
no code implementations • 23 Feb 2021 • JianPing Wang, Min Ding, Alexander Yarovoy
A novel matrix pencil-based interference mitigation approach for FMCW radars is proposed in this paper.
no code implementations • 4 Jan 2021 • JianPing Wang
In this paper, constant false alarm rate (CFAR) detector-based approaches are proposed for interference mitigation of Frequency modulated continuous wave (FMCW) radars.
no code implementations • COLING 2020 • Xinhong Chen, Qing Li, JianPing Wang
Existing approaches address the task by first extracting emotion and cause clauses via two binary classifiers separately, and then training another binary classifier to pair them up.
2 code implementations • 30 May 2019 • Wenqi Fan, Tyler Derr, Yao Ma, JianPing Wang, Jiliang Tang, Qing Li
Recent years have witnessed rapid developments on social recommendation techniques for improving the performance of recommender systems due to the growing influence of social networks to our daily life.