no code implementations • 12 Mar 2024 • Jiahao Zhang, Lin Wang, Shijie Wang, Wenqi Fan
Graph Neural Networks (GNNs) have achieved remarkable success in various real-world applications.
1 code implementation • 21 Feb 2024 • Jiahao Zhang, Rui Xue, Wenqi Fan, Xin Xu, Qing Li, Jian Pei, Xiaorui Liu
In this paper, we propose a Linear-Time Graph Neural Network (LTGNN) to scale up GNN-based recommender systems to achieve comparable scalability as classic MF approaches while maintaining GNNs' powerful expressiveness for superior prediction accuracy.
no code implementations • 31 Jan 2024 • Dingyi Dai, Yichi Zhang, Jiahao Zhang, Zhanqiu Hu, Yaohui Cai, Qi Sun, Zhiru Zhang
Quantization is a crucial technique for deploying deep learning models on resource-constrained devices, such as embedded FPGAs.
no code implementations • 23 Dec 2023 • Hongzheng Chen, Jiahao Zhang, Yixiao Du, Shaojie Xiang, Zichao Yue, Niansong Zhang, Yaohui Cai, Zhiru Zhang
Experimental results demonstrate our approach can achieve up to 13. 4x speedup when compared to previous FPGA-based accelerators for the BERT model.
no code implementations • 7 Dec 2023 • Jiahao Zhang, Tao Lin, Weiqiang Zheng, Zhe Feng, Yifeng Teng, Xiaotie Deng
In this paper, we investigate a problem of actively learning threshold in latent space, where the unknown reward $g(\gamma, v)$ depends on the proposed threshold $\gamma$ and latent value $v$ and it can be $only$ achieved if the threshold is lower than or equal to the unknown latent value.
1 code implementation • 7 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.
no code implementations • 7 Sep 2023 • Shiheng Zhang, Jiahao Zhang, Jie Shen, Guang Lin
We present a novel optimization algorithm, element-wise relaxed scalar auxiliary variable (E-RSAV), that satisfies an unconditional energy dissipation law and exhibits improved alignment between the modified and the original energy.
2 code implementations • 17 Aug 2023 • Jiahao Zhang, Haiyang Zhang, Dongmei Zhang, Yong liu, Shen Huang
This approach models the multi-hop retrieval process in an end-to-end manner by jointly optimizing an encoder and two classification heads across all hops.
Ranked #1 on Question Answering on HotpotQA
no code implementations • 9 Jun 2023 • Jiahao Zhang, Shiheng Zhang, Jie Shen, Guang Lin
For an objective operator G, the Branch net encodes different input functions u at the same number of sensors, and the Trunk net evaluates the output function at any location.
no code implementations • 18 Apr 2023 • Zheyu Zhuang, Yizhak Ben-Shabat, Jiahao Zhang, Stephen Gould, Robert Mahony
It is composed of a visual servoing module that reaches and grasps assembly parts in an unstructured multi-instance and dynamic environment, an action recognition module that performs human action prediction for implicit communication, and a visual handover module that uses the perceptual understanding of human behaviour to produce an intuitive and efficient collaborative assembly experience.
1 code implementation • CVPR 2023 • Jiahao Zhang, Anoop Cherian, Yanbin Liu, Yizhak Ben-Shabat, Cristian Rodriguez, Stephen Gould
In this paper, we consider a novel setting where such an alignment is between (i) instruction steps that are depicted as assembly diagrams (commonly seen in Ikea assembly manuals) and (ii) video segments from in-the-wild videos; these videos comprising an enactment of the assembly actions in the real world.
no code implementations • 15 Oct 2022 • Ruofan Liang, Jiahao Zhang, Haoda Li, Chen Yang, Yushi Guan, Nandita Vijaykumar
To enable more accurate illumination updates after deformation, we use the shadow mapping technique to approximate the light visibility updates caused by geometry editing.
no code implementations • 11 Apr 2022 • Jiahao Zhang, Shiqi Zhang, Guang Lin
This paper proposes a new dimension reduction framework based on rotated multi-fidelity Gaussian process regression and a Bayesian active learning scheme when the available precise observations are insufficient.
no code implementations • 7 Apr 2022 • Jiahao Zhang, Shiqi Zhang, Guang Lin
We propose a new multi-resolution autoencoder DeepONet model referred to as MultiAuto-DeepONet to deal with this difficulty with the aid of convolutional autoencoder.
no code implementations • 6 Apr 2022 • Jiahao Zhang, Shiqi Zhang, Guang Lin
We introduce three different models: continuous time, discrete time and hybrid models.
no code implementations • CVPR 2022 • Jieji Ren, Feishi Wang, Jiahao Zhang, Qian Zheng, Mingjun Ren, Boxin Shi
Evaluating photometric stereo using real-world dataset is important yet difficult.
no code implementations • 3 Dec 2021 • Ziwang Fu, Feng Liu, HanYang Wang, Siyuan Shen, Jiahao Zhang, Jiayin Qi, Xiangling Fu, Aimin Zhou
Learning modality-fused representations and processing unaligned multimodal sequences are meaningful and challenging in multimodal emotion recognition.
1 code implementation • 22 Oct 2021 • Feng Liu, HanYang Wang, Jiahao Zhang, Ziwang Fu, Aimin Zhou, Jiayin Qi, Zhibin Li
Quantitative and Qualitative results are presented on several compound expressions, and the experimental results demonstrate the feasibility and the potential of EvoGAN.
1 code implementation • 26 Apr 2021 • Jiahao Zhang, Anqi Hu
As an important part of urban landscape research, analyzing and studying street-level greenery can increase the understanding of a city's greenery, contributing to better urban living environment planning and design.