Search Results for author: Zhengyang Wang

Found 30 papers, 22 papers with code

CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery

1 code implementation12 Jun 2024 Xiaoshuai Song, Muxi Diao, Guanting Dong, Zhengyang Wang, Yujia Fu, Runqi Qiao, Zhexu Wang, Dayuan Fu, Huangxuan Wu, Bin Liang, Weihao Zeng, Yejie Wang, Zhuoma Gongque, Jianing Yu, Qiuna Tan, Weiran Xu

Computer Science (CS) stands as a testament to the intricacies of human intelligence, profoundly advancing the development of artificial intelligence and modern society.

Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond

1 code implementation15 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.

Explanation Generation Image Generation

Knowledge Editing on Black-box Large Language Models

1 code implementation13 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.

knowledge editing

Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns

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.

Attribute Session-Based Recommendations

Language Models As Semantic Indexers

1 code implementation11 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.

Contrastive Learning Information Retrieval +2

Towards Robust and Generalizable Training: An Empirical Study of Noisy Slot Filling for Input Perturbations

no code implementations5 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.

slot-filling Slot Filling

SCOTT: Self-Consistent Chain-of-Thought Distillation

1 code implementation3 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.

counterfactual Counterfactual Reasoning +1

Self-Supervised Learning of Graph Neural Networks: A Unified Review

no code implementations22 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.

Self-Supervised Learning

Advanced Graph and Sequence Neural Networks for Molecular Property Prediction and Drug Discovery

1 code implementation2 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.

BIG-bench Machine Learning Drug Discovery +2

Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising

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.

Image Denoising

CorDEL: A Contrastive Deep Learning Approach for Entity Linkage

no code implementations15 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.

Entity Resolution

Global Voxel Transformer Networks for Augmented Microscopy

1 code implementation5 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.

Second-Order Pooling for Graph Neural Networks

1 code implementation20 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.

Graph Classification Graph Representation Learning +2

Kronecker Attention Networks

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.

Non-Local Graph Neural Networks

1 code implementation29 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.

Node Classification on Non-Homophilic (Heterophilic) Graphs

iCapsNets: Towards Interpretable Capsule Networks for Text Classification

no code implementations16 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.

General Classification text-classification +1

Global Pixel Transformers for Virtual Staining of Microscopy Images

no code implementations1 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.

Non-local U-Net for Biomedical Image Segmentation

3 code implementations10 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.

Brain Image Segmentation Decoder +3

ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions

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.

General Classification

Smoothed Dilated Convolutions for Improved Dense Prediction

1 code implementation27 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.

Audio Generation Machine Translation +2

Large-Scale Learnable Graph Convolutional Networks

1 code implementation12 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.

Document Classification Node Classification

Pixel Deconvolutional Networks

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.

Decoder Image Generation +2

Learning Convolutional Text Representations for Visual Question Answering

1 code implementation18 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.

General Classification text-classification +1

Spatial Variational Auto-Encoding via Matrix-Variate Normal Distributions

1 code implementation18 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.

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