1 code implementation • 26 Mar 2024 • Ibrahim Khebour, Kenneth Lai, Mariah Bradford, Yifan Zhu, Richard Brutti, Christopher Tam, Jingxuan Tu, Benjamin Ibarra, Nathaniel Blanchard, Nikhil Krishnaswamy, James Pustejovsky
Within Dialogue Modeling research in AI and NLP, considerable attention has been spent on ``dialogue state tracking'' (DST), which is the ability to update the representations of the speaker's needs at each turn in the dialogue by taking into account the past dialogue moves and history.
no code implementations • 24 Feb 2024 • Fanjin Zhang, Shijie Shi, Yifan Zhu, Bo Chen, Yukuo Cen, Jifan Yu, Yelin Chen, Lulu Wang, Qingfei Zhao, Yuqing Cheng, Tianyi Han, Yuwei An, Dan Zhang, Weng Lam Tam, Kun Cao, Yunhe Pang, Xinyu Guan, Huihui Yuan, Jian Song, Xiaoyan Li, Yuxiao Dong, Jie Tang
We envisage that OAG-Bench can serve as a common ground for the community to evaluate and compare algorithms in academic graph mining, thereby accelerating algorithm development and advancement in this field.
no code implementations • 10 Feb 2024 • Yifan Zhu, Lingjuan Miao, Haitao Wu, Zhiqiang Zhou, Weiyi Chen, Longwen Wu
Due to the improvement of CNN-based object detection algorithm, the robustness of visual relocalization is greatly enhanced especially in viewpoints where classical methods fail.
no code implementations • 6 Feb 2024 • Yihan Wang, Yifan Zhu, Xiao-Shan Gao
Availability attacks can prevent the unauthorized use of private data and commercial datasets by generating imperceptible noise and making unlearnable examples before release.
1 code implementation • 14 Dec 2023 • Yifan Zhu, Lijia Yu, Xiao-Shan Gao
Detectability of unlearnable examples with simple networks motivates us to design a novel defense method.
no code implementations • 28 Nov 2023 • Jiaqi Ruan, Xiangrui Meng, Yifan Zhu, Gaoqi Liang, Xianzhuo Sun, Huayi Wu, Huijuan Xiao, Mengqian Lu, Pin Gao, Jiapeng Li, Wai-kin Wong, Zhao Xu, Junhua Zhao
Modern society's reliance on power systems is at risk from the escalating effects of wind-related climate change.
no code implementations • 22 Nov 2023 • Zeliang Zhang, Zhuo Liu, Susan Liang, Zhiyuan Wang, Yifan Zhu, Chen Ding, Chenliang Xu
However, the application of tensor decomposition is largely hindered by the exponential increment of the computational complexity and storage consumption with the size of tensors.
1 code implementation • ICCV 2023 • Fei Gao, Yifan Zhu, Chang Jiang, Nannan Wang
Besides, different artists may use diverse drawing techniques and create multiple styles of sketches; but the style is globally consistent in a sketch.
no code implementations • 10 Jul 2023 • Saurabh Kumar, Henrik Marklund, Ashish Rao, Yifan Zhu, Hong Jun Jeon, Yueyang Liu, Benjamin Van Roy
The design of such agents, which remains a long-standing challenge of artificial intelligence, is addressed by the subject of continual learning.
1 code implementation • CVPR 2023 • Jiaxiong Qiu, Peng-Tao Jiang, Yifan Zhu, Ze-Xin Yin, Ming-Ming Cheng, Bo Ren
To remedy this issue, we present a novel surface reconstruction framework, NeuS-HSR, based on implicit neural rendering.
no code implementations • ICCV 2023 • Yuxiang Cai, Yifan Zhu, Haiwei Zhang, Bo Ren
We compare the metrics on our dataset and SLAM reconstruction results in both synthetic scenes and real scenes with the previous methods.
no code implementations • 18 Sep 2022 • Yifan Zhu, Hong Jun Jeon, Benjamin Van Roy
However, existing computational theory suggests that, even for single-hidden-layer teacher networks, to attain small error for all such teacher networks, the computation required to achieve this sample complexity is intractable.
no code implementations • 6 Sep 2022 • Jia Zheng, Yifan Zhu, Kehan Wang, Qiang Zou, Zihan Zhou
In this paper, we revisit the long-standing problem of automatic reconstruction of 3D objects from single line drawings.
no code implementations • 15 Aug 2022 • Zepeng Huai, Zhe Wang, Yifan Zhu, Peng Zhang
Paper recommendation with user-generated keyword is to suggest papers that simultaneously meet user's interests and are relevant to the input keyword.
Click-Through Rate Prediction Graph Representation Learning +1
no code implementations • 1 Mar 2022 • Hong Jun Jeon, Yifan Zhu, Benjamin Van Roy
For a particular prior distribution on weights, we establish sample complexity bounds that are simultaneously width independent and linear in depth.
no code implementations • 27 Oct 2021 • Huayan Guo, Yifan Zhu, Haoyu Ma, Vincent K. N. Lau, Kaibin Huang, Xiaofan Li, Huabin Nong, Mingyu Zhou
In this paper, we develop an orthogonal-frequency-division-multiplexing (OFDM)-based over-the-air (OTA) aggregation solution for wireless federated learning (FL).
no code implementations • 19 Oct 2021 • Yifan Zhu, Fan Dai, Ranjan Maitra
We develop methodology for three-dimensional (3D) radial visualization (RadViz) of multidimensional datasets.
no code implementations • 16 Oct 2021 • Gen Shi, Yifan Zhu, Wenjin Liu, Quanming Yao, Xuesong Li
Other experiments also indicate that our proposed model with a pretraining strategy alleviates the problem of limited labelled data and yields a significant improvement in accuracy.
no code implementations • 7 Jan 2021 • Yifan Zhu, Nikhil JRK Gerard, Xiaoxing Xia, Grant C. Stevenson, Liyun Cao, Shiwang Fan, Christopher M. Spadaccini, Yun Jing, Badreddine Assouar
Acoustic holograms have promising applications in sound-field reconstruction, particle manipulation, ultrasonic haptics and therapy.
Applied Physics
no code implementations • ICCV 2021 • Yifan Zhu, Jiaxiong Qiu, Bo Ren
In this paper, we propose a novel SLAM approach called transfusion that allows transparent object existence and recovery in the video input.
no code implementations • 4 Mar 2020 • Fanyi Xiao, Ling Pei, Lei Chu, Danping Zou, Wenxian Yu, Yifan Zhu, Tao Li
The experimental results show that the proposed method can surprisingly converge in a few iterations and achieve an accuracy of 91. 15% on a real IMU dataset, demonstrating the efficiency and effectiveness of the proposed method.
no code implementations • 6 Apr 2019 • Yifan Zhu, Fan Dai, Ranjan Maitra
We develop methodology for visualization of labeled mixed-featured datasets.