b'Jian Tang'

research

∙ 08/04/2023

DTF-Net: Category-Level Pose Estimation and Shape Reconstruction via Deformable Template Field

Estimating 6D poses and reconstructing 3D shapes of objects in open-worl...

0 Haowen Wang, et al. ∙

research

∙ 06/22/2023

Evolving Computation Graphs

Graph neural networks (GNNs) have demonstrated success in modeling relat...

0 Andreea Deac, et al. ∙

research

∙ 06/22/2023

Machine-Learning-Assisted and Real-Time-Feedback-Controlled Growth of InAs/GaAs Quantum Dots

Self-assembled InAs/GaAs quantum dots (QDs) have properties highly valua...

0 Chao Shen, et al. ∙

research

∙ 06/06/2023

RDFC-GAN: RGB-Depth Fusion CycleGAN for Indoor Depth Completion

The raw depth image captured by indoor depth sensors usually has an exte...

0 Haowen Wang, et al. ∙

research

∙ 03/23/2023

CMG-Net: An End-to-End Contact-Based Multi-Finger Dexterous Grasping Network

In this paper, we propose a novel representation for grasping using cont...

0 Mingze Wei, et al. ∙

research

∙ 03/23/2023

CP^3: Channel Pruning Plug-in for Point-based Networks

Channel pruning can effectively reduce both computational cost and memor...

0 Yaomin Huang, et al. ∙

research

∙ 03/14/2023

Prioritized Planning for Target-Oriented Manipulation via Hierarchical Stacking Relationship Prediction

In scenarios involving the grasping of multiple targets, the learning of...

0 Zewen Wu, et al. ∙

research

∙ 03/11/2023

Enhancing Protein Language Models with Structure-based Encoder and Pre-training

Protein language models (PLMs) pre-trained on large-scale protein sequen...

13 Zuobai Zhang, et al. ∙

research

∙ 01/28/2023

Physics-Inspired Protein Encoder Pre-Training via Siamese Sequence-Structure Diffusion Trajectory Prediction

Pre-training methods on proteins are recently gaining interest, leveragi...

15 Zuobai Zhang, et al. ∙

research

∙ 01/28/2023

ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts

Current protein language models (PLMs) learn protein representations mai...

0 Minghao Xu, et al. ∙

research

∙ 01/05/2023

Towards Long-Term Time-Series Forecasting: Feature, Pattern, and Distribution

Long-term time-series forecasting (LTTF) has become a pressing demand in...

0 Yan Li, et al. ∙

research

∙ 12/15/2022

Balanced Datasets for IoT IDS

As the Internet of Things (IoT) continues to grow, cyberattacks are beco...

0 Alaa Alhowaide, et al. ∙

research

∙ 11/23/2022

EurNet: Efficient Multi-Range Relational Modeling of Spatial Multi-Relational Data

Modeling spatial relationship in the data remains critical across many d...

4 Minghao Xu, et al. ∙

research

∙ 10/26/2022

Learning on Large-scale Text-attributed Graphs via Variational Inference

This paper studies learning on text-attributed graphs (TAGs), where each...

0 Jianan Zhao, et al. ∙

research

∙ 10/13/2022

Inductive Logical Query Answering in Knowledge Graphs

Formulating and answering logical queries is a standard communication in...

0 Mikhail Galkin, et al. ∙

research

∙ 10/12/2022

E3Bind: An End-to-End Equivariant Network for Protein-Ligand Docking

In silico prediction of the ligand binding pose to a given protein targe...

15 Yangtian Zhang, et al. ∙

research

∙ 09/30/2022

Metro: Memory-Enhanced Transformer for Retrosynthetic Planning via Reaction Tree

Retrosynthetic planning plays a critical role in drug discovery and orga...

10 Songtao Liu, et al. ∙

research

∙ 09/28/2022

Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure

Most Graph Neural Networks (GNNs) predict the labels of unseen graphs by...

69 Shaohua Fan, et al. ∙

research

∙ 07/24/2022

Label-Guided Auxiliary Training Improves 3D Object Detector

Detecting 3D objects from point clouds is a practical yet challenging ta...

7 Yaomin Huang, et al. ∙

research

∙ 06/07/2022

Learning to Efficiently Propagate for Reasoning on Knowledge Graphs

Path-based methods are more appealing solutions than embedding methods f...

8 Zhaocheng Zhu, et al. ∙

research

∙ 05/26/2022

HIRL: A General Framework for Hierarchical Image Representation Learning

Learning self-supervised image representations has been broadly studied ...

29 Minghao Xu, et al. ∙

research

∙ 05/24/2022

High-Order Pooling for Graph Neural Networks with Tensor Decomposition

Graph Neural Networks (GNNs) are attracting growing attention due to the...

17 Chenqing Hua, et al. ∙

research

∙ 05/23/2022

Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction

How to accurately predict the properties of molecules is an essential pr...

8 Kuangqi Zhou, et al. ∙

research

∙ 05/16/2022

Neural-Symbolic Models for Logical Queries on Knowledge Graphs

Answering complex first-order logic (FOL) queries on knowledge graphs is...

14 Zhaocheng Zhu, et al. ∙

research

∙ 04/15/2022

Neural Structured Prediction for Inductive Node Classification

This paper studies node classification in the inductive setting, i.e., a...

13 Meng Qu, et al. ∙

research

∙ 03/30/2022

Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning – Extended Version

In step with the digitalization of transportation, we are witnessing a g...

12 Sean Bin Yang, et al. ∙

research

∙ 03/21/2022

RGB-Depth Fusion GAN for Indoor Depth Completion

The raw depth image captured by the indoor depth sensor usually has an e...

13 Haowen Wang, et al. ∙

research

∙ 03/11/2022

Protein Representation Learning by Geometric Structure Pretraining

Learning effective protein representations is critical in a variety of t...

80 Zuobai Zhang, et al. ∙

research

∙ 02/22/2022

Structured Multi-task Learning for Molecular Property Prediction

Multi-task learning for molecular property prediction is becoming increa...

0 Shengchao Liu, et al. ∙

research

∙ 02/17/2022

CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-based Autonomous Urban Driving

Vision-based autonomous urban driving in dense traffic is quite challeng...

2 Yinuo Zhao, et al. ∙

research

∙ 02/16/2022

TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery

Machine learning has huge potential to revolutionize the field of drug d...

8 Zhaocheng Zhu, et al. ∙

research

∙ 02/08/2022

Robotic Grasping from Classical to Modern: A Survey

Robotic Grasping has always been an active topic in robotics since grasp...

0 Hanbo Zhang, et al. ∙

research

∙ 12/18/2021

LegoDNN: Block-grained Scaling of Deep Neural Networks for Mobile Vision

Deep neural networks (DNNs) have become ubiquitous techniques in mobile ...

17 Rui Han, et al. ∙

research

∙ 12/13/2021

Implications of Topological Imbalance for Representation Learning on Biomedical Knowledge Graphs

Improving on the standard of care for diseases is predicated on better t...

7 Stephen Bonner, et al. ∙

research

∙ 12/03/2021

Make A Long Image Short: Adaptive Token Length for Vision Transformers

The vision transformer splits each image into a sequence of tokens with ...

22 Yichen Zhu, et al. ∙

research

∙ 12/01/2021

Training BatchNorm Only in Neural Architecture Search and Beyond

This work investigates the usage of batch normalization in neural archit...

9 Yichen Zhu, et al. ∙

research

∙ 10/26/2021

How to transfer algorithmic reasoning knowledge to learn new algorithms?

Learning to execute algorithms is a fundamental problem that has been wi...

10 Louis-Pascal A. C. Xhonneux, et al. ∙

research

∙ 10/21/2021

CATRO: Channel Pruning via Class-Aware Trace Ratio Optimization

Deep convolutional neural networks are shown to be overkill with high pa...

12 Wenzheng Hu, et al. ∙

research

∙ 10/11/2021

Neural Algorithmic Reasoners are Implicit Planners

Implicit planning has emerged as an elegant technique for combining lear...

17 Andreea Deac, et al. ∙

research

∙ 07/23/2021

Human Pose Transfer with Disentangled Feature Consistency

Deep generative models have made great progress in synthesizing images w...

3 Kun Wu, et al. ∙

research

∙ 06/17/2021

Unsupervised Path Representation Learning with Curriculum Negative Sampling

Path representations are critical in a variety of transportation applica...

3 Sean Bin Yang, et al. ∙

research

∙ 06/13/2021

Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Prediction

Link prediction is a very fundamental task on graphs. Inspired by tradit...

82 Zhaocheng Zhu, et al. ∙

research

∙ 06/08/2021

Non-Autoregressive Electron Redistribution Modeling for Reaction Prediction

Reliably predicting the products of chemical reactions presents a fundam...

16 Hangrui Bi, et al. ∙

research

∙ 06/08/2021

Self-supervised Graph-level Representation Learning with Local and Global Structure

This paper studies unsupervised/self-supervised whole-graph representati...

7 Minghao Xu, et al. ∙

research

∙ 05/15/2021

An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming

Predicting molecular conformations (or 3D structures) from molecular gra...

13 Minkai Xu, et al. ∙

research

∙ 05/09/2021

Learning Gradient Fields for Molecular Conformation Generation

We study a fundamental problem in computational chemistry known as molec...

2 Chence Shi, et al. ∙

research

∙ 02/20/2021

Learning Neural Generative Dynamics for Molecular Conformation Generation

We study how to generate molecule conformations (i.e., 3D structures) fr...

2 Minkai Xu, et al. ∙

research

∙ 02/19/2021

Lottery Ticket Implies Accuracy Degradation, Is It a Desirable Phenomenon?

In deep model compression, the recent finding "Lottery Ticket Hypothesis...

8 Ning Liu, et al. ∙

research

∙ 12/09/2020

Utilising Graph Machine Learning within Drug Discovery and Development

Graph Machine Learning (GML) is receiving growing interest within the ph...

55 Thomas Gaudelet, et al. ∙

research

∙ 12/07/2020

Sobolev Wasserstein GAN

Wasserstein GANs (WGANs), built upon the Kantorovich-Rubinstein (KR) dua...

10 Minkai Xu, et al. ∙

Jian Tang

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