no code implementations • 15 Mar 2024 • Tianxin Wei, Bowen Jin, Ruirui Li, Hansi Zeng, Zhengyang Wang, Jianhui Sun, Qingyu Yin, Hanqing Lu, Suhang Wang, Jingrui He, Xianfeng Tang
Developing a universal model that can effectively harness heterogeneous resources and respond to a wide range of personalized needs has been a longstanding community aspiration.
1 code implementation • 13 Feb 2024 • Xiaoshuai Song, Zhengyang Wang, Keqing He, Guanting Dong, Yutao Mou, Jinxu Zhao, Weiran Xu
Knowledge editing (KE) aims to efficiently and precisely modify the behavior of large language models (LLMs) to update specific knowledge without negatively influencing other knowledge.
1 code implementation • NeurIPS 2023 • Xin Liu, Zheng Li, Yifan Gao, Jingfeng Yang, Tianyu Cao, Zhengyang Wang, Bing Yin, Yangqiu Song
The goal of session-based recommendation in E-commerce is to predict the next item that an anonymous user will purchase based on the browsing and purchase history.
no code implementations • 11 Oct 2023 • Bowen Jin, Hansi Zeng, Guoyin Wang, Xiusi Chen, Tianxin Wei, Ruirui Li, Zhengyang Wang, Zheng Li, Yang Li, Hanqing Lu, Suhang Wang, Jiawei Han, Xianfeng Tang
Semantic identifier (ID) is an important concept in information retrieval that aims to preserve the semantics of objects such as documents and items inside their IDs.
no code implementations • 5 Oct 2023 • Jiachi Liu, LiWen Wang, Guanting Dong, Xiaoshuai Song, Zechen Wang, Zhengyang Wang, Shanglin Lei, Jinzheng Zhao, Keqing He, Bo Xiao, Weiran Xu
The proposed dataset contains five types of human-annotated noise, and all those noises are exactly existed in real extensive robust-training methods of slot filling into the proposed framework.
1 code implementation • NeurIPS 2023 • Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Xiao Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang
To test the potential of the dataset, we introduce three tasks in this work: (1) next-product recommendation, (2) next-product recommendation with domain shifts, and (3) next-product title generation.
no code implementations • 4 Jul 2023 • Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun, Wei Wang
We propose Concept2Box, a novel approach that jointly embeds the two views of a KG using dual geometric representations.
no code implementations • 14 Jun 2023 • Enyan Dai, Limeng Cui, Zhengyang Wang, Xianfeng Tang, Yinghan Wang, Monica Cheng, Bing Yin, Suhang Wang
Therefore, in this work, we study a novel problem of developing robust and membership privacy-preserving GNNs.
1 code implementation • 3 May 2023 • Peifeng Wang, Zhengyang Wang, Zheng Li, Yifan Gao, Bing Yin, Xiang Ren
While CoT can yield dramatically improved performance, such gains are only observed for sufficiently large LMs.
no code implementations • 22 Feb 2021 • Yaochen Xie, Zhao Xu, Jingtun Zhang, Zhengyang Wang, Shuiwang Ji
Our unified treatment of SSL methods for GNNs sheds light on the similarities and differences of various methods, setting the stage for developing new methods and algorithms.
no code implementations • 18 Feb 2021 • Chen Wei, Kexin Lou, Zhengyang Wang, Mingqi Zhao, Dante Mantini, Quanying Liu
EEG source localization is an important technical issue in EEG analysis.
1 code implementation • 2 Dec 2020 • Zhengyang Wang, Meng Liu, Youzhi Luo, Zhao Xu, Yaochen Xie, Limei Wang, Lei Cai, Qi Qi, Zhuoning Yuan, Tianbao Yang, Shuiwang Ji
Here we develop a suite of comprehensive machine learning methods and tools spanning different computational models, molecular representations, and loss functions for molecular property prediction and drug discovery.
1 code implementation • 17 Nov 2020 • Xinyi Xu, Zhengyang Wang, Cheng Deng, Hao Yuan, Shuiwang Ji
Grouping has been commonly used in deep metric learning for computing diverse features.
1 code implementation • NeurIPS 2020 • Yaochen Xie, Zhengyang Wang, Shuiwang Ji
Self-supervised frameworks that learn denoising models with merely individual noisy images have shown strong capability and promising performance in various image denoising tasks.
1 code implementation • 20 Oct 2020 • Lei Cai, Zhengyang Wang, Rob Kulathinal, Sudhir Kumar, Shuiwang Ji
In our task, saliency maps are used to assist the identification and visualization of developmental landmarks.
no code implementations • 15 Sep 2020 • Zhengyang Wang, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Shuiwang Ji
We evaluate CorDEL with extensive experiments conducted on both public benchmark datasets and a real-world dataset.
Ranked #7 on Entity Resolution on Amazon-Google
1 code implementation • 5 Aug 2020 • Zhengyang Wang, Yaochen Xie, Shuiwang Ji
In this work, we introduce global voxel transformer networks (GVTNets), an advanced deep learning tool for augmented microscopy that overcomes intrinsic limitations of the current U-Net based models and achieves improved performance.
1 code implementation • 20 Jul 2020 • Zhengyang Wang, Shuiwang Ji
In addition, compared to existing graph pooling methods, second-order pooling is able to use information from all nodes and collect second-order statistics, making it more powerful.
1 code implementation • ICLR 2020 • Hongyang Gao, Zhengyang Wang, Shuiwang Ji
Use of attention operators on high-order data requires flattening of the spatial or spatial-temporal dimensions into a vector, which is assumed to follow a multivariate normal distribution.
1 code implementation • 29 May 2020 • Meng Liu, Zhengyang Wang, Shuiwang Ji
Modern graph neural networks (GNNs) learn node embeddings through multilayer local aggregation and achieve great success in applications on assortative graphs.
no code implementations • 16 May 2020 • Zhengyang Wang, Xia Hu, Shuiwang Ji
On the other hand, iCapsNets explore a novel way to explain the model's general behavior, achieving global interpretability.
no code implementations • 1 Jul 2019 • Yi Liu, Hao Yuan, Zhengyang Wang, Shuiwang Ji
It is also shown that our proposed global pixel transformer layer is useful to improve the fluorescence image prediction results.
3 code implementations • 10 Dec 2018 • Zhengyang Wang, Na Zou, Dinggang Shen, Shuiwang Ji
In this work, we propose the non-local U-Nets, which are equipped with flexible global aggregation blocks, for biomedical image segmentation.
2 code implementations • NeurIPS 2018 • Hongyang Gao, Zhengyang Wang, Shuiwang Ji
Compared to prior CNNs designed for mobile devices, ChannelNets achieve a significant reduction in terms of the number of parameters and computational cost without loss in accuracy.
1 code implementation • 27 Aug 2018 • Zhengyang Wang, Shuiwang Ji
Unlike existing models, which explore solutions by focusing on a block of cascaded dilated convolutional layers, our methods address the gridding artifacts by smoothing the dilated convolution itself.
1 code implementation • 12 Aug 2018 • Hongyang Gao, Zhengyang Wang, Shuiwang Ji
However, the number of neighboring units is neither fixed nor are they ordered in generic graphs, thereby hindering the applications of convolutional operations.
Ranked #2 on Document Classification on Cora
4 code implementations • ICLR 2018 • Hongyang Gao, Hao Yuan, Zhengyang Wang, Shuiwang Ji
When used in image generation tasks, our PixelDCL can largely overcome the checkerboard problem suffered by regular deconvolution operations.
1 code implementation • 18 May 2017 • Zhengyang Wang, Shuiwang Ji
We also show that the text representation requirement in visual question answering is more complicated and comprehensive than that in conventional natural language processing tasks, making it a better task to evaluate textual representation methods.
1 code implementation • 18 May 2017 • Zhengyang Wang, Hao Yuan, Shuiwang Ji
In this work, we propose spatial VAEs that use feature maps of larger size as latent variables to explicitly capture spatial information.