Minghao Chen - RankMe

35 papers A* 13Journal 20Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Large-Scale Storage Location Assignment via Hierarchical Reinforcement Learning: A Rank and Assign Approach. IEEE Trans. Knowl. Data Eng. Weihang Pan, Minghao Chen, Binbin Lin, Yafei Wang, Xinkui Zhao, Xiaofei He, Jieping Ye
2025	A*	`conf`	STraj: Self-training for Bridging the Cross-Geography Gap in Trajectory Prediction. AAAI Zhanwei Zhang, Minghao Chen, Zhihong Gu, Xinkui Zhao, Zheng Yang, Binbin Lin, Deng Cai, Wenxiao Wang
2024	—	`conf`	Adapt2Reward: Adapting Video-Language Models to Generalizable Robotic Rewards via Failure Prompts. ECCV (57) Yanting Yang, Minghao Chen, Qibo Qiu, Jiahao Wu, Wenxiao Wang, Binbin Lin, Ziyu Guan, Xiaofei He
2024	J	`jnl`	Adapt2Reward: Adapting Video-Language Models to Generalizable Robotic Rewards via Failure Prompts. CoRR Yanting Yang, Minghao Chen, Qibo Qiu, Jiahao Wu, Wenxiao Wang, Binbin Lin, Ziyu Guan, Xiaofei He
2024	A*	`conf`	AutoManual: Constructing Instruction Manuals by LLM Agents via Interactive Environmental Learning. NeurIPS Minghao Chen, Yihang Li, Yanting Yang, Shiyu Yu, Binbin Lin, Xiaofei He
2024	J	`jnl`	AutoManual: Generating Instruction Manuals by LLM Agents via Interactive Environmental Learning. CoRR Minghao Chen, Yihang Li, Yanting Yang, Shiyu Yu, Binbin Lin, Xiaofei He
2024	A*	`conf`	G2LTraj: A Global-to-Local Generation Approach for Trajectory Prediction. IJCAI Zhanwei Zhang, Zishuo Hua, Minghao Chen, Wei Lu, Binbin Lin, Deng Cai, Wenxiao Wang
2024	J	`jnl`	G2LTraj: A Global-to-Local Generation Approach for Trajectory Prediction. CoRR Zhanwei Zhang, Zishuo Hua, Minghao Chen, Wei Lu, Binbin Lin, Deng Cai, Wenxiao Wang
2024	A*	`conf`	Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-Dataset 3D Object Detection. CVPR Zhanwei Zhang, Minghao Chen, Shuai Xiao, Liang Peng, Hengjia Li, Binbin Lin, Ping Li, Wenxiao Wang, Boxi Wu, Deng Cai
2024	J	`jnl`	Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-dataset 3D Object Detection. CoRR Zhanwei Zhang, Minghao Chen, Shuai Xiao, Liang Peng, Hengjia Li, Binbin Lin, Ping Li, Wenxiao Wang, Boxi Wu, Deng Cai
2024	A*	`conf`	TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP without Training. AAAI Yuqi Lin, Minghao Chen, Kaipeng Zhang, Hengjia Li, Mingming Li, Zheng Yang, Dongqin Lv, Binbin Lin, Haifeng Liu, Deng Cai
2023	J	`jnl`	A Study of Unsupervised Evaluation Metrics for Practical and Automatic Domain Adaptation. CoRR Minghao Chen, Zepeng Gao, Shuai Zhao, Qibo Qiu, Wenxiao Wang, Binbin Lin, Xiaofei He
2023	A*	`conf`	CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation. CVPR Yuqi Lin, Minghao Chen, Wenxiao Wang, Boxi Wu, Ke Li, Binbin Lin, Haifeng Liu, Xiaofei He
2023	A*	`conf`	PVT-SSD: Single-Stage 3D Object Detector with Point-Voxel Transformer. CVPR Honghui Yang, Wenxiao Wang, Minghao Chen, Binbin Lin, Tong He, Hua Chen, Xiaofei He, Wanli Ouyang
2023	J	`jnl`	PVT-SSD: Single-Stage 3D Object Detector with Point-Voxel Transformer. CoRR Honghui Yang, Wenxiao Wang, Minghao Chen, Binbin Lin, Tong He, Hua Chen, Xiaofei He, Wanli Ouyang
2023	J	`jnl`	TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP Without Training. CoRR Yuqi Lin, Minghao Chen, Kaipeng Zhang, Hengjia Li, Mingming Li, Zheng Yang, Dongqin Lv, Binbin Lin, Haifeng Liu, Deng Cai
2022	J	`jnl`	CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation. CoRR Yuqi Lin, Minghao Chen, Wenxiao Wang, Boxi Wu, Ke Li, Binbin Lin, Haifeng Liu, Xiaofei He
2022	A*	`conf`	Frame-wise Action Representations for Long Videos via Sequence Contrastive Learning. CVPR Minghao Chen, Fangyun Wei, Chong Li, Deng Cai
2022	J	`jnl`	Frame-wise Action Representations for Long Videos via Sequence Contrastive Learning. CoRR Minghao Chen, Fangyun Wei, Chong Li, Deng Cai
2022	J	`jnl`	RAN Information-Assisted TCP Congestion Control Using Deep Reinforcement Learning With Reward Redistribution. IEEE Trans. Commun. Minghao Chen, Rongpeng Li, Jon Crowcroft, Jianjun Wu, Zhifeng Zhao, Honggang Zhang
2021	A*	`conf`	Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework. ICML Wenxiao Wang, Minghao Chen, Shuai Zhao, Long Chen, Jinming Hu, Haifeng Liu, Deng Cai, Xiaofei He, Wei Liu
2021	A*	`conf`	CRFL: Certifiably Robust Federated Learning against Backdoor Attacks. ICML Chulin Xie, Minghao Chen, Pin-Yu Chen, Bo Li
2021	J	`jnl`	CRFL: Certifiably Robust Federated Learning against Backdoor Attacks. CoRR Chulin Xie, Minghao Chen, Pin-Yu Chen, Bo Li
2021	J	`jnl`	Complementary Pseudo Labels For Unsupervised Domain Adaptation On Person Re-identification. CoRR Hao Feng, Minghao Chen, Jinming Hu, Dong Shen, Haifeng Liu, Deng Cai
2021	J	`jnl`	Complementary Pseudo Labels for Unsupervised Domain Adaptation On Person Re-Identification. IEEE Trans. Image Process. Hao Feng, Minghao Chen, Jinming Hu, Dong Shen, Haifeng Liu, Deng Cai
2021	—	`conf`	RAN Information-assisted TCP Congestion Control via DRL with Reward Redistribution. ICC Workshops Minghao Chen, Rongpeng Li, Zhifeng Zhao, Honggang Zhang
2021	A*	`conf`	Salient Object Ranking with Position-Preserved Attention. ICCV Hao Fang, Daoxin Zhang, Yi Zhang, Minghao Chen, Jiawei Li, Yao Hu, Deng Cai, Xiaofei He
2021	J	`jnl`	Salient Object Ranking with Position-Preserved Attention. CoRR Hao Fang, Daoxin Zhang, Yi Zhang, Minghao Chen, Jiawei Li, Yao Hu, Deng Cai, Xiaofei He
2020	J	`jnl`	Accelerate Your CNN from Three Dimensions: A Comprehensive Pruning Framework. CoRR Wenxiao Wang, Minghao Chen, Shuai Zhao, Jinming Hu, Boxi Wu, Zhengxu Yu, Deng Cai, Haifeng Liu
2020	A*	`conf`	Adversarial-Learned Loss for Domain Adaptation. AAAI Minghao Chen, Shuai Zhao, Haifeng Liu, Deng Cai
2020	J	`jnl`	Adversarial-Learned Loss for Domain Adaptation. CoRR Minghao Chen, Shuai Zhao, Haifeng Liu, Deng Cai
2020	J	`jnl`	Spherical Knowledge Distillation. CoRR Jia Guo, Minghao Chen, Yao Hu, Chen Zhu, Xiaofei He, Deng Cai
2019	J	`jnl`	DBP: Discrimination Based Block-Level Pruning for Deep Model Acceleration. CoRR Wenxiao Wang, Shuai Zhao, Minghao Chen, Jinming Hu, Deng Cai, Haifeng Liu
2019	A*	`conf`	Domain Adaptation for Semantic Segmentation With Maximum Squares Loss. ICCV Minghao Chen, Hongyang Xue, Deng Cai
2019	J	`jnl`	Domain Adaptation for Semantic Segmentation with Maximum Squares Loss. CoRR Minghao Chen, Hongyang Xue, Deng Cai