Search Results for author: Haiyang Wang

Found 16 papers, 10 papers with code

GiT: Towards Generalist Vision Transformer through Universal Language Interface

2 code implementations14 Mar 2024 Haiyang Wang, Hao Tang, Li Jiang, Shaoshuai Shi, Muhammad Ferjad Naeem, Hongsheng Li, Bernt Schiele, LiWei Wang

Due to its simple design, this paradigm holds promise for narrowing the architectural gap between vision and language.

Language Modelling

GSINA: Improving Subgraph Extraction for Graph Invariant Learning via Graph Sinkhorn Attention

1 code implementation11 Feb 2024 Fangyu Ding, Haiyang Wang, Zhixuan Chu, Tianming Li, Zhaoping Hu, Junchi Yan

Many recent endeavors of GIL focus on extracting the invariant subgraph from the input graph for prediction as a regularization strategy to improve the generalization performance of graph learning.

Graph Attention Graph Learning

RBGNet: Ray-based Grouping for 3D Object Detection

1 code implementation CVPR 2022 Haiyang Wang, Shaoshuai Shi, Ze Yang, Rongyao Fang, Qi Qian, Hongsheng Li, Bernt Schiele, LiWei Wang

In order to learn better representations of object shape to enhance cluster features for predicting 3D boxes, we propose a ray-based feature grouping module, which aggregates the point-wise features on object surfaces using a group of determined rays uniformly emitted from cluster centers.

3D Object Detection Object +1

Full-attention based Neural Architecture Search using Context Auto-regression

no code implementations13 Nov 2021 Yuan Zhou, Haiyang Wang, Shuwei Huo, Boyu Wang

Thus, it is appropriate to consider using NAS methods to discover a better self-attention architecture automatically.

Fine-Grained Image Recognition Image Classification +5

Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis

no code implementations NeurIPS 2021 Jikai Jin, Bohang Zhang, Haiyang Wang, LiWei Wang

Distributionally robust optimization (DRO) is a widely-used approach to learn models that are robust against distribution shift.

Drug-Target Interaction Prediction with Graph Attention networks

1 code implementation10 Jul 2021 Haiyang Wang, Guangyu Zhou, SiQi Liu, Jyun-Yu Jiang, Wei Wang

For better learning and interpreting the DTI topological structure and the similarity, it is desirable to have methods specifically for predicting interactions from the graph structure.

Graph Attention

Collaborative Visual Navigation

1 code implementation2 Jul 2021 Haiyang Wang, Wenguan Wang, Xizhou Zhu, Jifeng Dai, LiWei Wang

As a fundamental problem for Artificial Intelligence, multi-agent system (MAS) is making rapid progress, mainly driven by multi-agent reinforcement learning (MARL) techniques.

Multi-agent Reinforcement Learning Navigate +1

Anomaly Detection of Time Series with Smoothness-Inducing Sequential Variational Auto-Encoder

no code implementations2 Feb 2021 Longyuan Li, Junchi Yan, Haiyang Wang, Yaohui Jin

Our model is based on Variational Auto-Encoder (VAE), and its backbone is fulfilled by a Recurrent Neural Network to capture latent temporal structures of time series for both generative model and inference model.

Anomaly Detection Density Estimation +2

Explicit Shape Encoding for Real-Time Instance Segmentation

1 code implementation ICCV 2019 Wenqiang Xu, Haiyang Wang, Fubo Qi, Cewu Lu

In this paper, we propose a novel top-down instance segmentation framework based on explicit shape encoding, named \textbf{ESE-Seg}.

Object object-detection +4

Visual Rhythm Prediction with Feature-Aligning Network

no code implementations29 Jan 2019 Yutong Xie, Haiyang Wang, Yan Hao, Zihao Xu

In this paper, we propose a data-driven visual rhythm prediction method, which overcomes the previous works' deficiency that predictions are made primarily by human-crafted hard rules.

Optical Flow Estimation

Dense Adaptive Cascade Forest: A Self Adaptive Deep Ensemble for Classification Problems

no code implementations29 Apr 2018 Haiyang Wang, Yong Tang, Ziyang Jia, Fei Ye

Second, our model connects each layer to the subsequent ones in a feed-forward fashion, which enhances the capability of the model to resist performance degeneration.

Ensemble Learning General Classification

OMNIRank: Risk Quantification for P2P Platforms with Deep Learning

no code implementations27 Apr 2017 Honglun Zhang, Haiyang Wang, Xiaming Chen, Yongkun Wang, Yaohui Jin

P2P lending presents as an innovative and flexible alternative for conventional lending institutions like banks, where lenders and borrowers directly make transactions and benefit each other without complicated verifications.

Reading Comprehension Sentiment Analysis

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