Haozhao Wang

According to our database, Haozhao Wang authored at least 96 papers between 2018 and 2025.

Collaborative distances:

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

2025

BoRA: Towards More Expressive Low-Rank Adaptation with Block Diversity.

Shiwei Li, Xiandi Luo, Haozhao Wang, Xing Tang, Ziqiang Cui, Dugang Liu, Yuhua Li, Xiuqiang He, Ruixuan Li

CoRR, August, 2025

Re-Fed+: A Better Replay Strategy for Federated Incremental Learning.

Yichen Li, Haozhao Wang, Yining Qi, Wei Liu, Ruixuan Li

IEEE Trans. Pattern Anal. Mach. Intell., July, 2025

Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges.

Senyao Li, Haozhao Wang, Wenchao Xu, Rui Zhang, Song Guo, Jingling Yuan, Xian Zhong, Tianwei Zhang, Ruixuan Li

CoRR, July, 2025

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation.

Yifan Wang, Weinan Gan, Longtao Xiao, Jieming Zhu, Heng Chang, Haozhao Wang, Rui Zhang, Zhenhua Dong, Ruiming Tang, Ruixuan Li

CoRR, June, 2025

One Patch to Rule Them All: Transforming Static Patches into Dynamic Attacks in the Physical World.

Xingshuo Han, Chen Ling, Shiyi Yao, Haozhao Wang, Hangcheng Liu, Yutong Wu, Shengmin Xu, Changhai Ou, Xinyi Huang, Tianwei Zhang

CoRR, June, 2025

Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics.

Shiwei Li, Xiandi Luo, Xing Tang, Haozhao Wang, Hao Chen, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li

CoRR, May, 2025

The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning.

Shiwei Li, Xiandi Luo, Haozhao Wang, Xing Tang, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li

CoRR, May, 2025

DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning under Two-sided Incomplete Information.

Yun Xin, Jianfeng Lu, Shuqin Cao, Gang Li, Haozhao Wang, Guanghui Wen

CoRR, May, 2025

Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets.

Wei Liu, Zhongyu Niu, Lang Gao, Zhiying Deng, Jun Wang, Haozhao Wang, Ruixuan Li

CoRR, May, 2025

A Systematic Survey on Federated Sequential Recommendation.

Yichen Li, Qiyu Qin, Gaoyang Zhu, Wenchao Xu, Haozhao Wang, Yuhua Li, Rui Zhang, Ruixuan Li

CoRR, April, 2025

Harmonizing Global and Local Class Imbalance for Federated Learning.

Jialiang Zhu, Hao Zheng, Wenchao Xu, Haozhao Wang, Zhiming He, Yuxuan Liu, Shuang Wang, Qi Sun

IEEE Trans. Mob. Comput., February, 2025

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables.

Xuzhao Geng, Haozhao Wang, Jun Wang, Wei Liu, Ruixuan Li

CoRR, February, 2025

Progressive Collaborative and Semantic Knowledge Fusion for Generative Recommendation.

Longtao Xiao, Haozhao Wang, Cheng Wang, Linfei Ji, Yifan Wang, Jieming Zhu, Zhenhua Dong, Rui Zhang, Ruixuan Li

CoRR, February, 2025

Knowledge-Aware Parameter Coaching for Communication-Efficient Personalized Federated Learning in Mobile Edge Computing.

Mingjian Zhi, Yuanguo Bi, Lin Cai, Wenchao Xu, Haozhao Wang, Tianao Xiang, Qiang He

IEEE Trans. Mob. Comput., January, 2025

Better Knowledge Enhancement for Privacy-Preserving Cross-Project Defect Prediction.

Yuying Wang, Yichen Li, Haozhao Wang, Lei Zhao, Xiaofang Zhang

J. Softw. Evol. Process., January, 2025

Resource-Constrained Federated Continual Learning: What Does Matter?

Yichen Li, Yuying Wang, Jiahua Dong, Haozhao Wang, Yining Qi, Rui Zhang, Ruixuan Li

CoRR, January, 2025

Exploring Practical Gaps in Using Cross Entropy to Implement Maximum Mutual Information Criterion for Rationalization.

Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, Ruixuan Li

Trans. Assoc. Comput. Linguistics, 2025

Privacy-Friendly Cross-Domain Recommendation via Distilling User-irrelevant Information.

Cheng Wang, Wenchao Xu, Haozhao Wang, Wei Liu, Ruixuan Li

Proceedings of the ACM on Web Conference 2025, 2025

Personalized Federated Recommendation for Cold-Start Users via Adaptive Knowledge Fusion.

Yichen Li, Yijing Shan, Yi Liu, Haozhao Wang, Wei Wang, Yi Wang, Ruixuan Li

Proceedings of the ACM on Web Conference 2025, 2025

FedRE: Robust and Effective Federated Learning with Privacy Preference.

Tianzhe Xiao, Yichen Li, Yu Zhou, Yining Qi, Yi Liu, Wei Wang, Haozhao Wang, Yi Wang, Ruixuan Li

Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

Breaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization.

Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, Zhigang Zeng, Ruixuan Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models.

Fushuo Huo, Wenchao Xu, Zhong Zhang, Haozhao Wang, Zhicheng Chen, Peilin Zhao

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment.

Jiaze Li, Haoran Xu, Shiding Zhu, Junwei He, Haozhao Wang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

SR-FDIL: Synergistic Replay for Federated Domain-Incremental Learning.

Yichen Li, Wenchao Xu, Yining Qi, Haozhao Wang, Ruixuan Li, Song Guo

IEEE Trans. Parallel Distributed Syst., November, 2024

Hypernetwork-driven centralized contrastive learning for federated graph classification.

Jianian Zhu, Yichen Li, Haozhao Wang, Yining Qi, Ruixuan Li

World Wide Web (WWW), September, 2024

Caching User-Generated Content in Distributed Autonomous Networks via Contextual Bandit.

Duyu Chen, Wenchao Xu, Haozhao Wang, Yining Qi, Ruixuan Li, Pan Zhou, Song Guo

IEEE Trans. Mob. Comput., August, 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

Joint Power and Coverage Control of Massive UAVs in Post-Disaster Emergency Networks: An Aggregative Game-Theoretic Learning Approach.

Jing Wu, Qimei Chen, Hao Jiang, Haozhao Wang, Yulai Xie, Wenzheng Xu, Pan Zhou, Zichuan Xu, Lixing Chen, Beibei Li, Xiumin Wang, Dapeng Oliver Wu

IEEE Trans. Netw. Sci. Eng., 2024

FedGIG: Graph Inversion from Gradient in Federated Learning.

Tianzhe Xiao, Yichen Li, Yining Qi, Haozhao Wang, Ruixuan Li

CoRR, 2024

Unleashing the Power of Continual Learning on Non-Centralized Devices: A Survey.

Yichen Li, Haozhao Wang, Wenchao Xu, Tianzhe Xiao, Hong Liu, Minzhu Tu, Yuying Wang, Xin Yang, Rui Zhang, Shui Yu, Song Guo, Ruixuan Li

CoRR, 2024

Rehearsal-Free Continual Federated Learning with Synergistic Regularization.

Yichen Li, Yuying Wang, Tianzhe Xiao, Haozhao Wang, Yining Qi, Ruixuan Li

CoRR, 2024

Deploying Foundation Model Powered Agent Services: A Survey.

Wenchao Xu, Jinyu Chen, Peirong Zheng, Xiaoquan Yi, Tianyi Tian, Wenhui Zhu, Quan Wan, Haozhao Wang, Yunfeng Fan, Qinliang Su, Xuemin Shen

CoRR, 2024

BadSFL: Backdoor Attack against Scaffold Federated Learning.

Xingshuo Han, Xuanye Zhang, Xiang Lan, Haozhao Wang, Shengmin Xu, Shen Ren, Jason Zeng, Ming Wu, Michael Heinrich, Tianwei Zhang

CoRR, 2024

Mixed-Precision Embeddings for Large-Scale Recommendation Models.

Shiwei Li, Zhuoqi Hu, Fuyuan Lyu, Xing Tang, Haozhao Wang, Shijie Xu, Weihong Luo, Yuhua Li, Xue Liu, Xiuqiang He, Ruixuan Li

CoRR, 2024

Masked Random Noise for Communication Efficient Federaetd Learning.

Shiwei Li, Yingyi Cheng, Haozhao Wang, Xing Tang, Shijie Xu, Weihong Luo, Yuhua Li, Dugang Liu, Xiuqiang He, Ruixuan Li

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

FedDSE: Distribution-aware Sub-model Extraction for Federated Learning over Resource-constrained Devices.

Haozhao Wang, Yabo Jia, Meng Zhang, Qinghao Hu, Hao Ren, Peng Sun, Yonggang Wen, Tianwei Zhang

Proceedings of the ACM on Web Conference 2024, 2024

Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise for Self-Rationalization.

Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, YuanKai Zhang, Ruixuan Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Cross-modal Representation Flattening for Multi-modal Domain Generalization.

Yunfeng Fan, Wenchao Xu, Haozhao Wang, Song Guo

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Masked Random Noise for Communication-Efficient Federated Learning.

Shiwei Li, Yingyi Cheng, Haozhao Wang, Xing Tang, Shijie Xu, Weihong Luo, Yuhua Li, Dugang Liu, Xiuqiang He, Ruixuan Li

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Detached and Interactive Multimodal Learning.

Yunfeng Fan, Wenchao Xu, Haozhao Wang, Junhong Liu, Song Guo

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

FedNLR: Federated Learning with Neuron-wise Learning Rates.

Haozhao Wang, Peirong Zheng, Xingshuo Han, Wenchao Xu, Ruixuan Li, Tianwei Zhang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

OTAS: An Elastic Transformer Serving System via Token Adaptation.

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

Proceedings of the IEEE INFOCOM 2024, 2024

Dual Expert Distillation Network for Generalized Zero-Shot Learning.

Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Jingming Liang, Jie Zhang, Haozhao Wang, Kang Wei, Xiaofeng Cao

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

FedBAT: Communication-Efficient Federated Learning via Learnable Binarization.

Shiwei Li, Wenchao Xu, Haozhao Wang, Xing Tang, Yining Qi, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation.

Haozhao Wang, Haoran Xu, Yichen Li, Yuan Xu, Ruixuan Li, Tianwei Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Sylvie: 3D-Adaptive and Universal System for Large-Scale Graph Neural Network Training.

Meng Zhang, Qinghao Hu, Cheng Wan, Haozhao Wang, Peng Sun, Yonggang Wen, Tianwei Zhang

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

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

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

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Physical Layer Overshadowing Attack on Semantic Communication System.

Zhaoyi Lu, Wenchao Xu, Xin Xie, Ming Tu, Haozhao Wang, Cunqing Hua

Proceedings of the IEEE International Conference on Communications, 2024

Disentangle Estimation of Causal Effects from Cross-Silo Data.

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

Proceedings of the IEEE International Conference on Acoustics, 2024

Personalized Federated Domain-Incremental Learning Based on Adaptive Knowledge Matching.

Yichen Li, Wenchao Xu, Haozhao Wang, Yining Qi, Jingcai Guo, Ruixuan Li

Proceedings of the Computer Vision - ECCV 2024, 2024

Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection.

Yunfeng Fan, Wenchao Xu, Haozhao Wang, Fushuo Huo, Jinyu Chen, Song Guo

Proceedings of the Computer Vision - ECCV 2024, 2024

Adversarial Attack for Explanation Robustness of Rationalization Models.

Yuankai Zhang, Lingxiao Kong, Haozhao Wang, Ruixuan Li, Jun Wang, Yuhua Li, Wei Liu

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

C²KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation.

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

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

Towards Efficient Replay in Federated Incremental Learning.

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

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

VisionGuard: Secure and Robust Visual Perception of Autonomous Vehicles in Practice.

Xingshuo Han, Haozhao Wang, Kangqiao Zhao, Gelei Deng, Yuan Xu, Hangcheng Liu, Han Qiu, Tianwei Zhang

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 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

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