Hang Xu

发表

Segmenting Transparent Object in the Wild with Transformer

P. Luo, Pei Sun, Ding Liang, 2021 .

Compressed Communication for Distributed Deep Learning: Survey and Quantitative Evaluation

Ahmed M. Abdelmoniem, Marco Canini, Panos Kalnis, 2020 .

CO^3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving

P. Luo, Wenqi Shao, Zhenguo Li, 2022, ArXiv.

AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms

Junliang Xing, Qiang Fu, Hang Xu, 2022, AAAI.

MANAS: Multi-Agent Neural Architecture Search

Fabio Maria Carlucci, Jun Wang, Victor Gabillon, 2019, ArXiv.

Transferable Environment Poisoning: Training-time Attack on Reinforcement Learner with Limited Prior Knowledge

Hang Xu, 2022, AAMAS.

Spiking Pitch Black: Poisoning an Unknown Environment to Attack Unknown Reinforcement Learners

Zinovi Rabinovich, Hang Xu, Xinghua Qu, 2022, AAMAS.

ZeroGen: Efficient Zero-shot Learning via Dataset Generation

Lingpeng Kong, Jiacheng Ye, Hang Xu, 2022, EMNLP.

Policy Resilience to Environment Poisoning Attacks on Reinforcement Learning

Hang Xu, 2023, ArXiv.

ZeroGen+: Self-Guided High-Quality Data Generation in Efficient Zero-Shot Learning

Lingpeng Kong, Zhenguo Li, Jiacheng Ye, 2022, ArXiv.

Manas: multi-agent neural architecture search

Fabio Maria Carlucci, Jun Wang, Victor Gabillon, 2019, Mach. Learn..

Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS

J. Kwok, Zhenguo Li, Tong Zhang, 2020, NeurIPS.

DeepReduce: A Sparse-tensor Communication Framework for Distributed Deep Learning pdf

Aritra Dutta, Panos Kalnis, Xin Li, 2021, ArXiv.

DeepReduce: A Sparse-tensor Communication Framework for Federated Deep Learning

Panos Kalnis, Aritra Dutta, Hang Xu, 2021, NeurIPS.

GRACE: A Compressed Communication Framework for Distributed Machine Learning

Aritra Dutta, Panos Kalnis, Marco Canini, 2021, 2021 IEEE 41st International Conference on Distributed Computing Systems (ICDCS).

DetCo: Unsupervised Contrastive Learning for Object Detection pdf

Zhenguo Li, Hang Xu, Xiaohang Zhan, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Unsupervised Pretraining for Object Detection by Patch Reidentification

Guisong Xia, P. Luo, Zhenguo Li, 2021, ArXiv.

Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation pdf

Yiming Gao, Hang Xu, Xiaodan Liang, 2020, AAAI.

Generative Negative Text Replay for Continual Vision-Language Pretraining

T. Tuytelaars, Xuming He, Zhenguo Li, 2022, ECCV.

SM-NAS: Structural-to-Modular Neural Architecture Search for Object Detection

Wei Zhang, Hang Xu, Xiaodan Liang, 2019, AAAI.

Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning

Lingpeng Kong, Weizhong Zhang, Zhenguo Li, 2022, ICLR.

Joint-DetNAS: Upgrade Your Detector with NAS, Pruning and Dynamic Distillation

Zhenguo Li, Hang Xu, Lewei Yao, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Revisiting Over-smoothing in BERT from the Perspective of Graph

J. Kwok, Lingpeng Kong, Zhenguo Li, 2022, ICLR.

Effective Sparsification of Neural Networks with Global Sparsity Constraint

Weizhong Zhang, Hang Xu, Tong Zhang, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending pdf

Wei Zhang, Hang Xu, Shaoju Wang, 2020, ECCV.

One Million Scenes for Autonomous Driving: ONCE Dataset

Xiaodan Liang, Zhenguo Li, Wei Zhang, 2021, NeurIPS Datasets and Benchmarks.

Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search pdf

Peidong Liu, Zhenguo Li, Bochao Wang, 2021, ICLR.

SODA10M: Towards Large-Scale Object Detection Benchmark for Autonomous Driving pdf

Kai Chen, Zhenguo Li, Hang Xu, 2021, ArXiv.

DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction

Zhenguo Li, Lanqing Hong, Qingyong Hu, 2022, ECCV.

AutoBERT-Zero: Evolving BERT Backbone from Scratch

Xiaozhe Ren, Xiaodan Liang, Zhenguo Li, 2021, AAAI.

SparseBERT: Rethinking the Importance Analysis in Self-attention

James T. Kwok, Zhenguo Li, Xiaodan Liang, 2021, ICML.

Driver Anomaly Detection: A Dataset and Contrastive Learning Approach pdf

Hang Xu, Gerhard Rigoll, Okan Köpüklü, 2020, 2021 IEEE Winter Conference on Applications of Computer Vision (WACV).

Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation pdf

Hang Xu, Xiaodan Liang, Liang Lin, 2020, NeurIPS.

SP-NAS: Serial-to-Parallel Backbone Search for Object Detection

Wei Zhang, Hang Xu, Xiaodan Liang, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

TransNAS-Bench-101: Improving transferability and Generalizability of Cross-Task Neural Architecture Search

Zhenguo Li, Hang Xu, Tong Zhang, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Trans2Seg: Transparent Object Segmentation with Transformer

P. Luo, Pei Sun, Ding Liang, 2021, ArXiv.

CATCH: Context-based Meta Reinforcement Learning for Transferrable Architecture Search

Hang Xu, Xiaodan Liang, Zhenguo Li, 2020, ECCV.

Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN

Hang Xu, Xiaodan Liang, Zhenguo Li, 2020, AAAI.

Spatial-Aware Graph Relation Network for Large-Scale Object Detection

Xiaodan Liang, Zhenguo Li, Hang Xu, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Deeply Unsupervised Patch Re-Identification for Pre-training Object Detectors.

Guisong Xia, P. Luo, Zhenguo Li, 2021, IEEE transactions on pattern analysis and machine intelligence.

Auto-FPN: Automatic Network Architecture Adaptation for Object Detection Beyond Classification

Hang Xu, Xiaodan Liang, Zhenguo Li, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Boosting Visual-Language Models by Exploiting Hard Samples

Hong Wang, Zhenguo Li, Lanqing Hong, 2023, ArXiv.

Multi-objective Neural Architecture Search via Predictive Network Performance Optimization pdf

James T. Kwok, Hang Xu, Zhenguo Li, 2019, ArXiv.

Real-time Obstacle Avoidance for AUV Based on Reinforcement Learning and Dynamic Window Approach

B. He, T. Yan, Yixiao Zhang, 2020, Global Oceans 2020: Singapore – U.S. Gulf Coast.

Reasoning-RCNN: Unifying Adaptive Global Reasoning Into Large-Scale Object Detection

Xiaodan Liang, Zhenguo Li, Hang Xu, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Face Recognition via Deep Learning Using Data Augmentation Based on Orthogonal Experiments

Yanning Zhang, Yee-Hong Yang, Hang Xu, 2019, Electronics.

Transferable Environment Poisoning: Training-time Attack on Reinforcement Learning

Zinovi Rabinovich, Hang Xu, Rundong Wang, 2021, AAMAS.

Low rank matrix recovery with adversarial sparse noise

Junhong Lin, Song Li, Hang Xu, 2021, Inverse Problems.

AABO: Adaptive Anchor Box Optimization for Object Detection via Bayesian Sub-sampling pdf

Hang Xu, Zhenguo Li, Wenshuo Ma, 2020, ECCV.

L2E: Learning to Exploit Your Opponent pdf

Junliang Xing, Hang Xu, Kai Li, 2021, 2022 International Joint Conference on Neural Networks (IJCNN).

JGR-P2O: Joint Graph Reasoning based Pixel-to-Offset Prediction Network for 3D Hand Pose Estimation from a Single Depth Image

Li Liu, Hang Xu, Xingyan Liu, 2020, ECCV.

Mixed Autoencoder for Self-Supervised Visual Representation Learning

Kai Chen, Dit-Yan Yeung, Zhenguo Li, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts

J. Kwok, Kai Chen, Zhenguo Li, 2023, ICLR.

OpenHoldem: A Benchmark for Large-Scale Imperfect-Information Game Research.

Junliang Xing, Hang Xu, Kai Li, 2020, IEEE transactions on neural networks and learning systems.

OpenHoldem: An Open Toolkit for Large-Scale Imperfect-Information Game Research

Kaiqi Huang, Junliang Xing, Hang Xu, 2020, ArXiv.

IXTURE OF C LUSTER-CONDITIONAL E XPERTS

J. Kwok, Kai Chen, Zhenguo Li, 2023 .

R EVISITING O VER - SMOOTHING IN BERT FROM THE P ERSPECTIVE OF G RAPH

J. Kwok, Lingpeng Kong, Zhenguo Li, 2022 .

How to Save your Annotation Cost for Panoptic Segmentation?

Zhenguo Li, Hang Xu, Chenhan Jiang, 2021, AAAI.

Hybrid Knowledge Routed Modules for Large-scale Object Detection

Liang Lin, Xiaodan Liang, Hang Xu, 2018, NeurIPS.

Using Kernel Method to Include Firm Correlation for Stock Price Prediction

Hang Xu, 2022, Computational intelligence and neuroscience.

ElixirNet: Relation-aware Network Architecture Adaptation for Medical Lesion Detection pdf

Nong Xiao, Hang Xu, Shaoju Wang, 2020, AAAI.

Analysis non-sparse recovery for relaxed ALASSO

Song Li, Hang Xu, 2020, Communications on Pure and Applied Analysis.

EHSOD: CAM-Guided End-to-end Hybrid-Supervised Object Detection with Cascade Refinement

Zhili Liu, Sarah Parisot, Hang Xu, 2020, AAAI.

BWCP: Probabilistic Learning-to-Prune Channels for ConvNets via Batch Whitening pdf

Zhenguo Li, Hang Xu, Ping Luo, 2021, ArXiv.

VEGA: Towards an End-to-End Configurable AutoML Pipeline pdf

Chen Chen, Bochao Wang, Wei Zhang, 2020, ArXiv.

Poisoning the Well: Can We Simultaneously Attack a Group of Learning Agents?

Abhay M. S. Aradhya, Zinovi Rabinovich, Hang Xu, 2023, IJCAI.

Trans2Seg: Transparent Object Segmentation with Transformer

P. Luo, Pei Sun, Ding Liang, 2021, 2101.08461.

Reasoning-RCNN: Unifying Adaptive Global Reasoning Into Large-Scale Object Detection

Xiaodan Liang, Liang Lin, Zhenguo Li, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Efficient Sample-based Neural Architecture Search with Learnable Predictor

James T. Kwok, Hang Xu, Zhenguo Li, 2019 .