Haozhao Wang

According to our database, Haozhao Wang authored at least 48 papers between 2018 and 2024.

Collaborative distances:

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

2024

Fast Packet Loss Inferring via Personalized Simulation-Reality Distillation.

Wenchao Xu, Haodong Wan, Haozhao Wang, Nan Cheng, Quan Chen, Haibo Zhou, Song Guo

IEEE Trans. Mob. Comput., May, 2024

Transform-Equivariant Consistency Learning for Temporal Sentence Grounding.

Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Zichuan Xu, Haozhao Wang, Xing Di, Weining Lu, Yu Cheng

ACM Trans. Multim. Comput. Commun. Appl., April, 2024

Mobile Collaborative Learning Over Opportunistic Internet of Vehicles.

Wenchao Xu, Haozhao Wang, Zhaoyi Lu, Cunqing Hua, Nan Cheng, Song Guo

IEEE Trans. Mob. Comput., April, 2024

Towards Efficient Replay in Federated Incremental Learning.

Yichen Li, Qunwei Li, Haozhao Wang, Ruixuan Li, Wenliang Zhong, Guannan Zhang

CoRR, 2024

OTAS: An Elastic Transformer Serving System via Token Adaptation.

Jinyu Chen, Wenchao Xu, Zicong Hong, Song Guo, Haozhao Wang, Jie Zhang, Deze Zeng

CoRR, 2024

Disentangle Estimation of Causal Effects from Cross-Silo Data.

Yuxuan Liu, Haozhao Wang, Shuang Wang, Zhiming He, Wenchao Xu, Jialiang Zhu, Fan Yang

CoRR, 2024

Balanced Multi-modal Federated Learning via Cross-Modal Infiltration.

Yunfeng Fan, Wenchao Xu, Haozhao Wang, Jiaqi Zhu, Song Guo

CoRR, 2024

Client-wise Modality Selection for Balanced Multi-modal Federated Learning.

Yunfeng Fan, Wenchao Xu, Haozhao Wang, Penghui Ruan, Song Guo

CoRR, 2024

Knowledge-Aware Parameter Coaching for Personalized Federated Learning.

Mingjian Zhi, Yuanguo Bi, Wenchao Xu, Haozhao Wang, Tianao Xiang

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

Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement.

Fushuo Huo, Wenchao Xu, Jingcai Guo, Haozhao Wang, Yunfeng Fan

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

ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning.

Fushuo Huo, Wenchao Xu, Song Guo, Jingcai Guo, Haozhao Wang, Ziming Liu, Xiaocheng Lu

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

Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling.

Jie Han, Yixiong Zou, Haozhao Wang, Jun Wang, Wei Liu, Yao Wu, Tao Zhang, Ruixuan Li

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

2023

From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization.

Feijie Wu, Song Guo, Haozhao Wang, Haobo Zhang, Zhihao Qu, Jie Zhang, Ziming Liu

IEEE Trans. Parallel Distributed Syst., May, 2023

Few-Shot Temporal Sentence Grounding via Memory-Guided Semantic Learning.

Daizong Liu, Pan Zhou, Zichuan Xu, Haozhao Wang, Ruixuan Li

IEEE Trans. Circuits Syst. Video Technol., May, 2023

Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling.

Jie Han, Yixiong Zou, Haozhao Wang, Jun Wang, Wei Liu, Yao Wu, Tao Zhang, Ruixuan Li

CoRR, 2023

Enhancing the Rationale-Input Alignment for Self-explaining Rationalization.

Wei Liu, Haozhao Wang, Jun Wang, Zhiying Deng, Yuankai Zhang, Cheng Wang, Ruixuan Li

CoRR, 2023

D-Separation for Causal Self-Explanation.

Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Zhiying Deng, Yuankai Zhang, Yang Qiu

CoRR, 2023

Offline-Online Class-incremental Continual Learning via Dual-prototype Self-augment and Refinement.

Fushuo Huo, Wenchao Xu, Jingcai Guo, Haozhao Wang, Yunfeng Fan, Song Guo

CoRR, 2023

DualMix: Unleashing the Potential of Data Augmentation for Online Class-Incremental Learning.

Yunfeng Fan, Wenchao Xu, Haozhao Wang, Jiaqi Zhu, Junxiao Wang, Song Guo

CoRR, 2023

Decompose, Then Reconstruct: A Framework of Network Structures for Click-Through Rate Prediction.

Jiaming Li, Lang Lang, Zhenlong Zhu, Haozhao Wang, Ruixuan Li, Wenchao Xu

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Aligning Language Models with Human Preferences via a Bayesian Approach.

Jiashuo Wang, Haozhao Wang, Shichao Sun, Wenjie Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

D-Separation for Causal Self-Explanation.

Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Zhiying Deng, Yuankai Zhang, Yang Qiu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint.

Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Yang Qiu, Yuankai Zhang, Jie Han, Yixiong Zou

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

AOCC-FL: Federated Learning with Aligned Overlapping via Calibrated Compensation.

Haozhao Wang, Wenchao Xu, Yunfeng Fan, Ruixuan Li, Pan Zhou

Proceedings of the IEEE INFOCOM 2023, 2023

XFed: Improving Explainability in Federated Learning by Intersection Over Union Ratio Extended Client Selection.

Juan Zhao, Yuankai Zhang, Ruixuan Li, Yuhua Li, Haozhao Wang, Xiaoquan Yi, Zhiying Deng

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

DaFKD: Domain-aware Federated Knowledge Distillation.

Haozhao Wang, Yichen Li, Wenchao Xu, Ruixuan Li, Yufeng Zhan, Zhigang Zeng

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

PMR: Prototypical Modal Rebalance for Multimodal Learning.

Yunfeng Fan, Wenchao Xu, Haozhao Wang, Junxiao Wang, Song Guo

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

MGR: Multi-generator Based Rationalization.

Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Xinyang Li, Yuankai Zhang, Yang Qiu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Adaptive Vertical Federated Learning on Unbalanced Features.

Jie Zhang, Song Guo, Zhihao Qu, Deze Zeng, Haozhao Wang, Qifeng Liu, Albert Y. Zomaya

IEEE Trans. Parallel Distributed Syst., 2022

Error-Compensated Sparsification for Communication-Efficient Decentralized Training in Edge Environment.

Haozhao Wang, Song Guo, Zhihao Qu, Ruixuan Li, Ziming Liu

IEEE Trans. Parallel Distributed Syst., 2022

Partial Synchronization to Accelerate Federated Learning Over Relay-Assisted Edge Networks.

Zhihao Qu, Song Guo, Haozhao Wang, Baoliu Ye, Yi Wang, Albert Y. Zomaya, Bin Tang

IEEE Trans. Mob. Comput., 2022

Intermittent Pulling With Local Compensation for Communication-Efficient Distributed Learning.

Haozhao Wang, Zhihao Qu, Song Guo, Xin Gao, Ruixuan Li, Baoliu Ye

IEEE Trans. Emerg. Top. Comput., 2022

Heterogeneity-Aware Gradient Coding for Tolerating and Leveraging Stragglers.

Haozhao Wang, Song Guo, Bin Tang, Ruixuan Li, Yutong Yang, Zhihao Qu, Yi Wang

IEEE Trans. Computers, 2022

A Comprehensive Survey on Training Acceleration for Large Machine Learning Models in IoT.

Haozhao Wang, Zhihao Qu, Qihua Zhou, Haobo Zhang, Boyuan Luo, Wenchao Xu, Song Guo, Ruixuan Li

IEEE Internet Things J., 2022

Gradient Scheduling With Global Momentum for Asynchronous Federated Learning in Edge Environment.

Haozhao Wang, Ruixuan Li, Chengjie Li, Pan Zhou, Yuhua Li, Wenchao Xu, Song Guo

IEEE Internet Things J., 2022

Edge Learning: The Enabling Technology for Distributed Big Data Analytics in the Edge.

Jie Zhang, Zhihao Qu, Chenxi Chen, Haozhao Wang, Yufeng Zhan, Baoliu Ye, Song Guo

ACM Comput. Surv., 2022

ProCC: Progressive Cross-primitive Consistency for Open-World Compositional Zero-Shot Learning.

Fushuo Huo, Wenchao Xu, Song Guo, Jingcai Guo, Haozhao Wang, Ziming Liu

CoRR, 2022

FedTune: A Deep Dive into Efficient Federated Fine-Tuning with Pre-trained Transformers.

Jinyu Chen, Wenchao Xu, Song Guo, Junxiao Wang, Jie Zhang, Haozhao Wang

CoRR, 2022

FR: Folded Rationalization with a Unified Encoder.

Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Chao Yue, Yuankai Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sign bit is enough: a learning synchronization framework for multi-hop all-reduce with ultimate compression.

Feijie Wu, Shiqi He, Song Guo, Zhihao Qu, Haozhao Wang, Weihua Zhuang, Jie Zhang

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

LOSP: Overlap Synchronization Parallel With Local Compensation for Fast Distributed Training.

Haozhao Wang, Zhihao Qu, Song Guo, Ningqi Wang, Ruixuan Li, Weihua Zhuang

IEEE J. Sel. Areas Commun., 2021

DCSpell: A Detector-Corrector Framework for Chinese Spelling Error Correction.

Jing Li, Dafei Yin, Haozhao Wang, Yonggang Wang

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Parameterized Knowledge Transfer for Personalized Federated Learning.

Jie Zhang, Song Guo, Xiaosong Ma, Haozhao Wang, Wenchao Xu, Feijie Wu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

HotFed: Hot Start through Self-Supervised Learning in Federated Learning.

Juan Zhao, Ruixuan Li, Haozhao Wang, Zijun Xu

Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

2020

Intermittent Pulling with Local Compensation for Communication-Efficient Federated Learning.

Haozhao Wang, Zhihao Qu, Song Guo, Xin Gao, Ruixuan Li, Baoliu Ye

CoRR, 2020

2019

OSP: Overlapping Computation and Communication in Parameter Server for Fast Machine Learning.

Haozhao Wang, Song Guo, Ruixuan Li

Proceedings of the 48th International Conference on Parallel Processing, 2019

Heterogeneity-aware Gradient Coding for Straggler Tolerance.

Haozhao Wang, Song Guo, Bin Tang, Ruixuan Li, Chengjie Li

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

2018

Stock Price Prediction Using Time Convolution Long Short-Term Memory Network.

Xukuan Zhan, Yuhua Li, Ruixuan Li, Xiwu Gu, Olivier Habimana, Haozhao Wang

Proceedings of the Knowledge Science, Engineering and Management, 2018