Haozhao Wang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 70

Top Topics

Machine Learning

Neural Network Training

Top Venues

IEEE Trans. Mob. Comput.

Publications

Yunfeng Fan, Wenchao Xu, Haozhao Wang, Jiaqi Zhu, Song Guo
Balanced Multi-modal Federated Learning via Cross-Modal Infiltration. CoRR (2024)
Haozhao Wang, Haoran Xu, Yichen Li, Yuan Xu, Ruixuan Li, Tianwei Zhang
FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation. ICLR (2024)
Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Jingming Liang, Jie Zhang, Haozhao Wang, Kang Wei, Xiaofeng Cao
Dual Expert Distillation Network for Generalized Zero-Shot Learning. CoRR (2024)
Fushuo Huo, Wenchao Xu, Jingcai Guo, Haozhao Wang, Yunfeng Fan
Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement. AAAI (2024)
Duyu Chen, Wenchao Xu, Haozhao Wang, Yining Qi, Ruixuan Li, Pan Zhou, Song Guo
Caching User-Generated Content in Distributed Autonomous Networks via Contextual Bandit. IEEE Trans. Mob. Comput. 23 (8) (2024)
Wei Liu, Haozhao Wang, Jun Wang, Zhiying Deng, Yuankai Zhang, Cheng Wang, Ruixuan Li
Enhancing the Rationale-Input Alignment for Self-explaining Rationalization. ICDE (2024)
Yuxuan Liu, Haozhao Wang, Shuang Wang, Zhiming He, Wenchao Xu, Jialiang Zhu, Fan Yang
Disentangle Estimation of Causal Effects from Cross-Silo Data. ICASSP (2024)
Yunfeng Fan, Wenchao Xu, Haozhao Wang, Junhong Liu, Song Guo
Detached and Interactive Multimodal Learning. CoRR (2024)
Jinyu Chen, Wenchao Xu, Zicong Hong, Song Guo, Haozhao Wang, Jie Zhang, Deze Zeng
OTAS: An Elastic Transformer Serving System via Token Adaptation. CoRR (2024)
Wenchao Xu, Haozhao Wang, Zhaoyi Lu, Cunqing Hua, Nan Cheng, Song Guo
Mobile Collaborative Learning Over Opportunistic Internet of Vehicles. IEEE Trans. Mob. Comput. 23 (4) (2024)
Yichen Li, Wenchao Xu, Haozhao Wang, Ruixuan Li, Yining Qi, Jingcai Guo
Personalized Federated Domain-Incremental Learning based on Adaptive Knowledge Matching. CoRR (2024)
Jianian Zhu, Yichen Li, Haozhao Wang, Yining Qi, Ruixuan Li
Hypernetwork-driven centralized contrastive learning for federated graph classification. World Wide Web (WWW) 27 (5) (2024)
Haozhao Wang, Yabo Jia, Meng Zhang, Qinghao Hu, Hao Ren, Peng Sun, Yonggang Wen, Tianwei Zhang
FedDSE: Distribution-aware Sub-model Extraction for Federated Learning over Resource-constrained Devices. WWW (2024)
Wenchao Xu, Haodong Wan, Haozhao Wang, Nan Cheng, Quan Chen, Haibo Zhou, Song Guo
Fast Packet Loss Inferring via Personalized Simulation-Reality Distillation. IEEE Trans. Mob. Comput. 23 (5) (2024)
Jie Han, Yixiong Zou, Haozhao Wang, Jun Wang, Wei Liu, Yao Wu, Tao Zhang, Ruixuan Li
Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling. AAAI (2024)
Mingjian Zhi, Yuanguo Bi, Wenchao Xu, Haozhao Wang, Tianao Xiang
Knowledge-Aware Parameter Coaching for Personalized Federated Learning. AAAI (2024)
Yunfeng Fan, Wenchao Xu, Haozhao Wang, Penghui Ruan, Song Guo
Client-wise Modality Selection for Balanced Multi-modal Federated Learning. CoRR (2024)
Meng Zhang, Qinghao Hu, Cheng Wan, Haozhao Wang, Peng Sun, Yonggang Wen, Tianwei Zhang
Sylvie: 3D-Adaptive and Universal System for Large-Scale Graph Neural Network Training. ICDE (2024)
Yuxuan Liu, Haozhao Wang, Shuang Wang, Zhiming He, Wenchao Xu, Jialiang Zhu, Fan Yang
Disentangle Estimation of Causal Effects from Cross-Silo Data. CoRR (2024)
Haozhao Wang, Peirong Zheng, Xingshuo Han, Wenchao Xu, Ruixuan Li, Tianwei Zhang
FedNLR: Federated Learning with Neuron-wise Learning Rates. KDD (2024)
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
Joint Power and Coverage Control of Massive UAVs in Post-Disaster Emergency Networks: An Aggregative Game-Theoretic Learning Approach. IEEE Trans. Netw. Sci. Eng. 11 (4) (2024)
Fushuo Huo, Wenchao Xu, Song Guo, Jingcai Guo, Haozhao Wang, Ziming Liu, Xiaocheng Lu
ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning. AAAI (2024)
Jinyu Chen, Wenchao Xu, Zicong Hong, Song Guo, Haozhao Wang, Jie Zhang, Deze Zeng
OTAS: An Elastic Transformer Serving System via Token Adaptation. INFOCOM (2024)
Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Zichuan Xu, Haozhao Wang, Xing Di, Weining Lu, Yu Cheng
Transform-Equivariant Consistency Learning for Temporal Sentence Grounding. ACM Trans. Multim. Comput. Commun. Appl. 20 (4) (2024)
Wei Liu, Haozhao Wang, Jun Wang, Zhiying Deng, Yuankai Zhang, Cheng Wang, Ruixuan Li
Enhancing the Rationale-Input Alignment for Self-explaining Rationalization. CoRR (2023)
Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Zichuan Xu, Haozhao Wang, Xing Di, Weining Lu, Yu Cheng
Transform-Equivariant Consistency Learning for Temporal Sentence Grounding. CoRR (2023)
Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Zhiying Deng, Yuankai Zhang, Yang Qiu
D-Separation for Causal Self-Explanation. NeurIPS (2023)
Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Xinyang Li, Yuankai Zhang, Yang Qiu
MGR: Multi-generator Based Rationalization. ACL (1) (2023)
Haozhao Wang, Yichen Li, Wenchao Xu, Ruixuan Li, Yufeng Zhan, Zhigang Zeng
DaFKD: Domain-aware Federated Knowledge Distillation. CVPR (2023)
Feijie Wu, Song Guo, Haozhao Wang, Haobo Zhang, Zhihao Qu, Jie Zhang, Ziming Liu
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization. IEEE Trans. Parallel Distributed Syst. 34 (5) (2023)
Jiashuo Wang, Haozhao Wang, Shichao Sun, Wenjie Li
Aligning Language Models with Human Preferences via a Bayesian Approach. NeurIPS (2023)
Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Yang Qiu, Yuankai Zhang, Jie Han, Yixiong Zou
Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipshitz Restraint. CoRR (2023)
Daizong Liu, Pan Zhou, Zichuan Xu, Haozhao Wang, Ruixuan Li
Few-Shot Temporal Sentence Grounding via Memory-Guided Semantic Learning. IEEE Trans. Circuits Syst. Video Technol. 33 (5) (2023)
Juan Zhao, Yuankai Zhang, Ruixuan Li, Yuhua Li, Haozhao Wang, Xiaoquan Yi, Zhiying Deng
XFed: Improving Explainability in Federated Learning by Intersection Over Union Ratio Extended Client Selection. ECAI (2023)
Jie Han, Yixiong Zou, Haozhao Wang, Jun Wang, Wei Liu, Yao Wu, Tao Zhang, Ruixuan Li
Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling. CoRR (2023)
Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Yang Qiu, Yuankai Zhang, Jie Han, Yixiong Zou
Decoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint. KDD (2023)
Yunfeng Fan, Wenchao Xu, Haozhao Wang, Junxiao Wang, Song Guo
PMR: Prototypical Modal Rebalance for Multimodal Learning. CVPR (2023)
Jiaming Li, Lang Lang, Zhenlong Zhu, Haozhao Wang, Ruixuan Li, Wenchao Xu
Decompose, Then Reconstruct: A Framework of Network Structures for Click-Through Rate Prediction. ECML/PKDD (1) (2023)
Jiashuo Wang, Haozhao Wang, Shichao Sun, Wenjie Li
Aligning Language Models with Human Preferences via a Bayesian Approach. CoRR (2023)
Haozhao Wang, Wenchao Xu, Yunfeng Fan, Ruixuan Li, Pan Zhou
AOCC-FL: Federated Learning with Aligned Overlapping via Calibrated Compensation. INFOCOM (2023)
Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Xinyang Li, Yuankai Zhang, Yang Qiu
MGR: Multi-generator based Rationalization. CoRR (2023)
Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Zhiying Deng, Yuankai Zhang, Yang Qiu
D-Separation for Causal Self-Explanation. CoRR (2023)
Fushuo Huo, Wenchao Xu, Jingcai Guo, Haozhao Wang, Yunfeng Fan, Song Guo
Offline-Online Class-incremental Continual Learning via Dual-prototype Self-augment and Refinement. CoRR (2023)
Yunfeng Fan, Wenchao Xu, Haozhao Wang, Jiaqi Zhu, Junxiao Wang, Song Guo
DualMix: Unleashing the Potential of Data Augmentation for Online Class-Incremental Learning. CoRR (2023)
Jie Zhang, Song Guo, Zhihao Qu, Deze Zeng, Haozhao Wang, Qifeng Liu, Albert Y. Zomaya
Adaptive Vertical Federated Learning on Unbalanced Features. IEEE Trans. Parallel Distributed Syst. 33 (10) (2022)
Feijie Wu, Shiqi He, Song Guo, Zhihao Qu, Haozhao Wang, Weihua Zhuang, Jie Zhang
Sign Bit is Enough: A Learning Synchronization Framework for Multi-hop All-reduce with Ultimate Compression. CoRR (2022)
Haozhao Wang, Ruixuan Li, Chengjie Li, Pan Zhou, Yuhua Li, Wenchao Xu, Song Guo
Gradient Scheduling With Global Momentum for Asynchronous Federated Learning in Edge Environment. IEEE Internet Things J. 9 (19) (2022)
Haozhao Wang, Zhihao Qu, Song Guo, Xin Gao, Ruixuan Li, Baoliu Ye
Intermittent Pulling With Local Compensation for Communication-Efficient Distributed Learning. IEEE Trans. Emerg. Top. Comput. 10 (2) (2022)
Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Chao Yue, Yuankai Zhang
FR: Folded Rationalization with a Unified Encoder. CoRR (2022)
Zhihao Qu, Song Guo, Haozhao Wang, Baoliu Ye, Yi Wang, Albert Y. Zomaya, Bin Tang
Partial Synchronization to Accelerate Federated Learning Over Relay-Assisted Edge Networks. IEEE Trans. Mob. Comput. 21 (12) (2022)
Feijie Wu, Shiqi He, Song Guo, Zhihao Qu, Haozhao Wang, Weihua Zhuang, Jie Zhang
Sign bit is enough: a learning synchronization framework for multi-hop all-reduce with ultimate compression. DAC (2022)
Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Chao Yue, Yuankai Zhang
FR: Folded Rationalization with a Unified Encoder. NeurIPS (2022)
Yunfeng Fan, Wenchao Xu, Haozhao Wang, Junxiao Wang, Song Guo
PMR: Prototypical Modal Rebalance for Multimodal Learning. CoRR (2022)
Jie Zhang, Zhihao Qu, Chenxi Chen, Haozhao Wang, Yufeng Zhan, Baoliu Ye, Song Guo
Edge Learning: The Enabling Technology for Distributed Big Data Analytics in the Edge. ACM Comput. Surv. 54 (7) (2022)
Haozhao Wang, Zhihao Qu, Qihua Zhou, Haobo Zhang, Boyuan Luo, Wenchao Xu, Song Guo, Ruixuan Li
A Comprehensive Survey on Training Acceleration for Large Machine Learning Models in IoT. IEEE Internet Things J. 9 (2) (2022)
Haozhao Wang, Song Guo, Bin Tang, Ruixuan Li, Yutong Yang, Zhihao Qu, Yi Wang
Heterogeneity-Aware Gradient Coding for Tolerating and Leveraging Stragglers. IEEE Trans. Computers 71 (4) (2022)
Jinyu Chen, Wenchao Xu, Song Guo, Junxiao Wang, Jie Zhang, Haozhao Wang
FedTune: A Deep Dive into Efficient Federated Fine-Tuning with Pre-trained Transformers. CoRR (2022)
Haozhao Wang, Song Guo, Zhihao Qu, Ruixuan Li, Ziming Liu
Error-Compensated Sparsification for Communication-Efficient Decentralized Training in Edge Environment. IEEE Trans. Parallel Distributed Syst. 33 (1) (2022)
Fushuo Huo, Wenchao Xu, Song Guo, Jingcai Guo, Haozhao Wang, Ziming Liu
ProCC: Progressive Cross-primitive Consistency for Open-World Compositional Zero-Shot Learning. CoRR (2022)
Jie Zhang, Song Guo, Xiaosong Ma, Haozhao Wang, Wencao Xu, Feijie Wu
Parameterized Knowledge Transfer for Personalized Federated Learning. CoRR (2021)
Feijie Wu, Song Guo, Haozhao Wang, Zhihao Qu, Haobo Zhang, Jie Zhang, Ziming Liu
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization. CoRR (2021)
Jie Zhang, Song Guo, Xiaosong Ma, Haozhao Wang, Wenchao Xu, Feijie Wu
Parameterized Knowledge Transfer for Personalized Federated Learning. NeurIPS (2021)
Jing Li, Dafei Yin, Haozhao Wang, Yonggang Wang
DCSpell: A Detector-Corrector Framework for Chinese Spelling Error Correction. SIGIR (2021)
Juan Zhao, Ruixuan Li, Haozhao Wang, Zijun Xu
HotFed: Hot Start through Self-Supervised Learning in Federated Learning. HPCC/DSS/SmartCity/DependSys (2021)
Haozhao Wang, Zhihao Qu, Song Guo, Ningqi Wang, Ruixuan Li, Weihua Zhuang
LOSP: Overlap Synchronization Parallel With Local Compensation for Fast Distributed Training. IEEE J. Sel. Areas Commun. 39 (8) (2021)
Haozhao Wang, Zhihao Qu, Song Guo, Xin Gao, Ruixuan Li, Baoliu Ye
Intermittent Pulling with Local Compensation for Communication-Efficient Federated Learning. CoRR (2020)
Haozhao Wang, Song Guo, Bin Tang, Ruixuan Li, Chengjie Li
Heterogeneity-aware Gradient Coding for Straggler Tolerance. ICDCS (2019)
Haozhao Wang, Song Guo, Bin Tang, Ruixuan Li, Chengjie Li
Heterogeneity-aware Gradient Coding for Straggler Tolerance. CoRR (2019)
Haozhao Wang, Song Guo, Ruixuan Li
OSP: Overlapping Computation and Communication in Parameter Server for Fast Machine Learning. ICPP (2019)
Xukuan Zhan, Yuhua Li, Ruixuan Li, Xiwu Gu, Olivier Habimana, Haozhao Wang
Stock Price Prediction Using Time Convolution Long Short-Term Memory Network. KSEM (1) (2018)