b'Mingli Song'

research

∙ 09/20/2023

ModelGiF: Gradient Fields for Model Functional Distance

The last decade has witnessed the success of deep learning and the surge...

0 Jie Song, et al. ∙

research

∙ 08/09/2023

An Integrated Visual Analytics System for Studying Clinical Carotid Artery Plaques

Carotid artery plaques can cause arterial vascular diseases such as stro...

0 Chaoqing Xu, et al. ∙

research

∙ 08/05/2023

Adversarial Erasing with Pruned Elements: Towards Better Graph Lottery Ticket

Graph Lottery Ticket (GLT), a combination of core subgraph and sparse su...

0 Yuwen Wang, et al. ∙

research

∙ 07/26/2023

Graph Neural Networks-based Hybrid Framework For Predicting Particle Crushing Strength

Graph Neural Networks have emerged as an effective machine learning tool...

0 Tongya Zheng, et al. ∙

research

∙ 07/07/2023

A Survey of Deep Learning in Sports Applications: Perception, Comprehension, and Decision

Deep learning has the potential to revolutionize sports performance, wit...

0 Zhonghan Zhao, et al. ∙

research

∙ 06/29/2023

MPM: A Unified 2D-3D Human Pose Representation via Masked Pose Modeling

Estimating 3D human poses only from a 2D human pose sequence is thorough...

0 Zhenyu Zhang, et al. ∙

research

∙ 06/15/2023

Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation

Human mobility patterns have shown significant applications in policy-de...

0 Yu Wang, et al. ∙

research

∙ 06/14/2023

Curricular Subgoals for Inverse Reinforcement Learning

Inverse Reinforcement Learning (IRL) aims to reconstruct the reward func...

0 Shunyu Liu, et al. ∙

research

∙ 06/13/2023

Lookaround Optimizer: k steps around, 1 step average

Weight Average (WA) is an active research topic due to its simplicity in...

0 Jiangtao Zhang, et al. ∙

research

∙ 06/05/2023

Decentralized SGD and Average-direction SAM are Asymptotically Equivalent

Decentralized stochastic gradient descent (D-SGD) allows collaborative l...

0 Tongtian Zhu, et al. ∙

research

∙ 06/03/2023

Message-passing selection: Towards interpretable GNNs for graph classification

In this paper, we strive to develop an interpretable GNNs' inference par...

0 Wenda Li, et al. ∙

research

∙ 05/31/2023

Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization

Graph Neural Networks (GNNs) have emerged as a powerful category of lear...

0 Kaixuan Chen, et al. ∙

research

∙ 05/27/2023

Is Centralized Training with Decentralized Execution Framework Centralized Enough for MARL?

Centralized Training with Decentralized Execution (CTDE) has recently em...

0 Yihe Zhou, et al. ∙

research

∙ 05/20/2023

Non-stationary Online Convex Optimization with Arbitrary Delays

Online convex optimization (OCO) with arbitrary delays, in which gradien...

0 Yuanyu Wan, et al. ∙

research

∙ 04/15/2023

Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation

Temporal graphs exhibit dynamic interactions between nodes over continuo...

0 Tongya Zheng, et al. ∙

research

∙ 04/15/2023

Transition Propagation Graph Neural Networks for Temporal Networks

Researchers of temporal networks (e.g., social networks and transaction ...

0 Tongya Zheng, et al. ∙

research

∙ 04/11/2023

Life Regression based Patch Slimming for Vision Transformers

Vision transformers have achieved remarkable success in computer vision ...

0 Jiawei Chen, et al. ∙

research

∙ 04/10/2023

ViT-Calibrator: Decision Stream Calibration for Vision Transformer

A surge of interest has emerged in utilizing Transformers in diverse vis...

0 Lin Chen, et al. ∙

research

∙ 04/09/2023

Propheter: Prophetic Teacher Guided Long-Tailed Distribution Learning

The problem of deep long-tailed learning, a prevalent challenge in the r...

0 Wenxiang Xu, et al. ∙

research

∙ 02/17/2023

Model Doctor for Diagnosing and Treating Segmentation Error

Despite the remarkable progress in semantic segmentation tasks with the ...

0 Zhijie Jia, et al. ∙

research

∙ 02/15/2023

DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes

Cross-view multi-object tracking aims to link objects between frames and...

0 Shenghao Hao, et al. ∙

research

∙ 02/14/2023

Team DETR: Guide Queries as a Professional Team in Detection Transformers

Recent proposed DETR variants have made tremendous progress in various s...

0 Tian Qiu, et al. ∙

research

∙ 02/11/2023

Improved Dynamic Regret for Online Frank-Wolfe

To deal with non-stationary online problems with complex constraints, we...

0 Yuanyu Wan, et al. ∙

research

∙ 01/30/2023

DepGraph: Towards Any Structural Pruning

Structural pruning enables model acceleration by removing structurally-g...

0 Gongfan Fang, et al. ∙

research

∙ 01/14/2023

Recent advances in artificial intelligence for retrosynthesis

Retrosynthesis is the cornerstone of organic chemistry, providing chemis...

0 Zipeng Zhong, et al. ∙

research

∙ 12/05/2022

SASFormer: Transformers for Sparsely Annotated Semantic Segmentation

Semantic segmentation based on sparse annotation has advanced in recent ...

0 Hui Su, et al. ∙

research

∙ 11/30/2022

Conservative-Progressive Collaborative Learning for Semi-supervised Semantic Segmentation

Pseudo supervision is regarded as the core idea in semi-supervised learn...

0 Siqi Fan, et al. ∙

research

∙ 11/23/2022

Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition

Value Decomposition (VD) aims to deduce the contributions of agents for ...

0 Shunyu Liu, et al. ∙

research

∙ 11/12/2022

A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges

Reinforcement Learning (RL) is a popular machine learning paradigm where...

0 Yunpeng Qing, et al. ∙

research

∙ 10/09/2022

Attention Diversification for Domain Generalization

Convolutional neural networks (CNNs) have demonstrated gratifying result...

0 Rang Meng, et al. ∙

research

∙ 09/07/2022

A Survey of Neural Trees

Neural networks (NNs) and decision trees (DTs) are both popular models o...

0 Haoling Li, et al. ∙

research

∙ 08/22/2022

ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition

Prototypical part network (ProtoPNet) has drawn wide attention and boost...

0 Mengqi Xue, et al. ∙

research

∙ 08/03/2022

Re-Attention Transformer for Weakly Supervised Object Localization

Weakly supervised object localization is a challenging task which aims t...

0 Hui Su, et al. ∙

research

∙ 07/27/2022

Federated Selective Aggregation for Knowledge Amalgamation

In this paper, we explore a new knowledge-amalgamation problem, termed F...

0 Donglin Xie, et al. ∙

research

∙ 07/24/2022

Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection

Anomaly detection aims at identifying deviant samples from the normal da...

14 Gaoang Wang, et al. ∙

research

∙ 07/24/2022

Learning Graph Neural Networks for Image Style Transfer

State-of-the-art parametric and non-parametric style transfer approaches...

0 Yongcheng Jing, et al. ∙

research

∙ 07/17/2022

Learning with Recoverable Forgetting

Life-long learning aims at learning a sequence of tasks without forgetti...

0 Jingwen Ye, et al. ∙

research

∙ 07/08/2022

Interaction Pattern Disentangling for Multi-Agent Reinforcement Learning

Deep cooperative multi-agent reinforcement learning has demonstrated its...

0 Shunyu Liu, et al. ∙

research

∙ 07/05/2022

Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework

Despite the promising results achieved, state-of-the-art interactive rei...

0 Shunyu Liu, et al. ∙

research

∙ 06/25/2022

Topology-aware Generalization of Decentralized SGD

This paper studies the algorithmic stability and generalizability of dec...

0 Tongtian Zhu, et al. ∙

research

∙ 06/14/2022

Slimmable Domain Adaptation

Vanilla unsupervised domain adaptation methods tend to optimize the mode...

0 Rang Meng, et al. ∙

research

∙ 06/14/2022

Label Matching Semi-Supervised Object Detection

Semi-supervised object detection has made significant progress with the ...

0 Binbin Chen, et al. ∙

research

∙ 05/22/2022

Recent Advances in Embedding Methods for Multi-Object Tracking: A Survey

Multi-object tracking (MOT) aims to associate target objects across vide...

0 Gaoang Wang, et al. ∙

research

∙ 05/12/2022

Distribution-Aware Graph Representation Learning for Transient Stability Assessment of Power System

The real-time transient stability assessment (TSA) plays a critical role...

0 Kaixuan Chen, et al. ∙

research

∙ 05/07/2022

Comparison Knowledge Translation for Generalizable Image Classification

Deep learning has recently achieved remarkable performance in image clas...

0 Zunlei Feng, et al. ∙

research

∙ 05/05/2022

Spot-adaptive Knowledge Distillation

Knowledge distillation (KD) has become a well established paradigm for c...

5 Jie Song, et al. ∙

research

∙ 03/25/2022

CNN LEGO: Disassembling and Assembling Convolutional Neural Network

Convolutional Neural Network (CNN), which mimics human visual perception...

0 Jiacong Hu, et al. ∙

research

∙ 03/22/2022

Meta-attention for ViT-backed Continual Learning

Continual learning is a longstanding research topic due to its crucial r...

0 Mengqi Xue, et al. ∙

research

∙ 03/22/2022

Root-aligned SMILES for Molecular Retrosynthesis Prediction

Retrosynthesis prediction is a fundamental problem in organic synthesis,...

0 Zipeng Zhong, et al. ∙

research

∙ 03/07/2022

Knowledge Amalgamation for Object Detection with Transformers

Knowledge amalgamation (KA) is a novel deep model reusing task aiming to...

6 Haofei Zhang, et al. ∙

Mingli Song

Featured Co-authors