Minghao Chen

According to our database, Minghao Chen authored at least 20 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

AutoManual: Generating Instruction Manuals by LLM Agents via Interactive Environmental Learning.

Minghao Chen, Yihang Li, Yanting Yang, Shiyu Yu, Binbin Lin, Xiaofei He

CoRR, 2024

G2LTraj: A Global-to-Local Generation Approach for Trajectory Prediction.

Zhanwei Zhang, Zishuo Hua, Minghao Chen, Wei Lu, Binbin Lin, Deng Cai, Wenxiao Wang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Adapt2Reward: Adapting Video-Language Models to Generalizable Robotic Rewards via Failure Prompts.

Yanting Yang, Minghao Chen, Qibo Qiu, Jiahao Wu, Wenxiao Wang, Binbin Lin, Ziyu Guan, Xiaofei He

Proceedings of the Computer Vision - ECCV 2024, 2024

Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-Dataset 3D Object Detection.

Zhanwei Zhang, Minghao Chen, Shuai Xiao, Liang Peng, Hengjia Li, Binbin Lin, Ping Li, Wenxiao Wang, Boxi Wu, Deng Cai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP without Training.

Yuqi Lin, Minghao Chen, Kaipeng Zhang, Hengjia Li, Mingming Li, Zheng Yang, Dongqin Lv, Binbin Lin, Haifeng Liu, Deng Cai

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Study of Unsupervised Evaluation Metrics for Practical and Automatic Domain Adaptation.

Minghao Chen, Zepeng Gao, Shuai Zhao, Qibo Qiu, Wenxiao Wang, Binbin Lin, Xiaofei He

CoRR, 2023

PVT-SSD: Single-Stage 3D Object Detector with Point-Voxel Transformer.

Honghui Yang, Wenxiao Wang, Minghao Chen, Binbin Lin, Tong He, Hua Chen, Xiaofei He, Wanli Ouyang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation.

Yuqi Lin, Minghao Chen, Wenxiao Wang, Boxi Wu, Ke Li, Binbin Lin, Haifeng Liu, Xiaofei He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

RAN Information-Assisted TCP Congestion Control Using Deep Reinforcement Learning With Reward Redistribution.

Minghao Chen, Rongpeng Li, Jon Crowcroft, Jianjun Wu, Zhifeng Zhao, Honggang Zhang

IEEE Trans. Commun., 2022

Frame-wise Action Representations for Long Videos via Sequence Contrastive Learning.

Minghao Chen, Fangyun Wei, Chong Li, Deng Cai

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Complementary Pseudo Labels for Unsupervised Domain Adaptation On Person Re-Identification.

Hao Feng, Minghao Chen, Jinming Hu, Dong Shen, Haifeng Liu, Deng Cai

IEEE Trans. Image Process., 2021

CRFL: Certifiably Robust Federated Learning against Backdoor Attacks.

Chulin Xie, Minghao Chen, Pin-Yu Chen, Bo Li

Proceedings of the 38th International Conference on Machine Learning, 2021

Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework.

Wenxiao Wang, Minghao Chen, Shuai Zhao, Long Chen, Jinming Hu, Haifeng Liu, Deng Cai, Xiaofei He, Wei Liu

Proceedings of the 38th International Conference on Machine Learning, 2021

Salient Object Ranking with Position-Preserved Attention.

Hao Fang, Daoxin Zhang, Yi Zhang, Minghao Chen, Jiawei Li, Yao Hu, Deng Cai, Xiaofei He

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

RAN Information-assisted TCP Congestion Control via DRL with Reward Redistribution.

Minghao Chen, Rongpeng Li, Zhifeng Zhao, Honggang Zhang

Proceedings of the IEEE International Conference on Communications Workshops, 2021

2020

Spherical Knowledge Distillation.

Jia Guo, Minghao Chen, Yao Hu, Chen Zhu, Xiaofei He, Deng Cai

CoRR, 2020

Accelerate Your CNN from Three Dimensions: A Comprehensive Pruning Framework.

Wenxiao Wang, Minghao Chen, Shuai Zhao, Jinming Hu, Boxi Wu, Zhengxu Yu, Deng Cai, Haifeng Liu

CoRR, 2020

Adversarial-Learned Loss for Domain Adaptation.

Minghao Chen, Shuai Zhao, Haifeng Liu, Deng Cai

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

DBP: Discrimination Based Block-Level Pruning for Deep Model Acceleration.

Wenxiao Wang, Shuai Zhao, Minghao Chen, Jinming Hu, Deng Cai, Haifeng Liu

CoRR, 2019

Domain Adaptation for Semantic Segmentation With Maximum Squares Loss.

Minghao Chen, Hongyang Xue, Deng Cai

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019