Hao Zhang

40 papers A* 3B 3Journal 29Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
An online multi-agent path finding algorithm for large-scale puzzle-based conveyor system.
Expert Syst. Appl.
Mingrui Yin, Hao Zhang, Chenxin Cai, Jie Liu
2026 J jnl
Chain-of-Detection enables robust and efficient jailbreak defense.
Neural Networks
Tingting Wu, Hao Zhang
2026 J jnl
Model-Heterogeneous Federated Learning With Bidirectional Knowledge Distillation.
IEEE Trans. Mob. Comput.
Hao Zhang, Yaolin Zhu, Tingting Wu, Siyao Cheng, Jie Liu
2026 A* conf
Stop Mixing Things Up! BISCUIT Teaches Vision-Language Models to Learn New Concepts from Images on the Spot.
AAAI
Jiahua Bao, Siyao Cheng, Jiaxing Du, Yuhang Jia, Boyang Niu, Zeming Lang, Changjiang He, Hao Zhang, Jie Liu
2025 A* conf
BOLT: Fewer Tokens but More Performance Retention for Efficient Vision-Language Models Inference.
ACM Multimedia
Jiahua Bao, Siyao Cheng, Jiaxing Du, Changjiang He, Zeming Lang, Hao Zhang, Jie Liu
2025 J jnl
Dynamic SFC Deployment for SDN/NFV-Based Satellite-Terrestrial Integrated Vehicular Networks.
IEEE Trans. Veh. Technol.
Dongbo Li, Ziqian Wang, Rongqiang Zhao, Hao Zhang, Zhisheng Yin, Nan Cheng, Jie Liu
2025 J jnl
Dynamic clustered federated learning via adaptive distribution similarity computation.
Comput. Networks
Tian Ren, Siyao Cheng, Hao Zhang, Jie Liu
2025 J jnl
Omniveyor: An Assembled Logistics Sorting System Powered by Reinforcement Learning.
IEEE Trans Autom. Sci. Eng.
Mingrui Yin, Hao Zhang, Chenxin Cai, Meiyan Liang, Jie Liu
2024 J jnl
A Stackelberg-Game-Based Framework for Edge Pricing and Resource Allocation in Mobile Edge Computing.
IEEE Internet Things J.
Siyao Cheng, Tian Ren, Hao Zhang, Jiayan Huang, Jie Liu
2024 J jnl
CC-FedAvg: Computationally Customized Federated Averaging.
IEEE Internet Things J.
Hao Zhang, Tingting Wu, Siyao Cheng, Jie Liu
2024 J jnl
DB-RNN: An RNN for Precipitation Nowcasting Deblurring.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Zhifeng Ma, Hao Zhang, Jie Liu
2024 J jnl
DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination.
IEEE Trans. Multim.
Tingting Wu, Xiao Ding, Hao Zhang, Jinglong Gao, Minji Tang, Li Du, Bing Qin, Ting Liu
2024 B conf
Federated Edge Learning with Blurred or Pseudo Data Sharing.
ICPP
Yinlong Li, Hao Zhang, Siyao Cheng, Jie Liu
2024 — conf
StressViT: Splitting and Compressing Vision Transformer Through Edge-Cloud Collaboration.
ICPR (5)
Changyao Lin, Yi Liu, Xiangyu Li, Chengxiang Li, Hao Zhang, Jing Jin, Jie Liu
2024 J jnl
Uncertainty-guided label correction with wavelet-transformed discriminative representation enhancement.
Neural Networks
Tingting Wu, Xiao Ding, Hao Zhang, Minji Tang, Bing Qin, Ting Liu
2023 B conf
ACIGS: An automated large-scale crops image generation system based on large visual language multi-modal models.
SECON
Bolong Liu, Hao Zhang, Jie Liu, Qiang Wang
2023 J jnl
Data-Augmentation-Based Federated Learning.
IEEE Internet Things J.
Hao Zhang, Qingying Hou, Tingting Wu, Siyao Cheng, Jie Liu
2023 J jnl
Dynamic adaptive workload offloading strategy in mobile edge computing networks.
Comput. Networks
Yinlong Li, Siyao Cheng, Hao Zhang, Jie Liu
2023 J jnl
Dynamic layer-wise sparsification for distributed deep learning.
Future Gener. Comput. Syst.
Hao Zhang, Tingting Wu, Zhifeng Ma, Feng Li, Jie Liu
2023 J jnl
FedCos: A Scene-Adaptive Enhancement for Federated Learning.
IEEE Internet Things J.
Hao Zhang, Tingting Wu, Siyao Cheng, Jie Liu
2023 J jnl
MM-RNN: A Multimodal RNN for Precipitation Nowcasting.
IEEE Trans. Geosci. Remote. Sens.
Zhifeng Ma, Hao Zhang, Jie Liu
2023 J jnl
MS-LSTM: Exploring Spatiotemporal Multiscale Representations in Video Prediction Domain.
CoRR
Zhifeng Ma, Hao Zhang, Jie Liu
2023 J jnl
MS-LSTM: Exploring spatiotemporal multiscale representations in video prediction domain.
Appl. Soft Comput.
Zhifeng Ma, Hao Zhang, Jie Liu
2023 — conf
NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing.
ACL (Findings)
Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu
2023 J jnl
NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing.
CoRR
Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu
2022 B conf
Aperiodic Local SGD: Beyond Local SGD.
ICPP
Hao Zhang, Tingting Wu, Siyao Cheng, Jie Liu
2022 J jnl
CCFL: Computationally Customized Federated Learning.
CoRR
Hao Zhang, Tingting Wu, Siyao Cheng, Jie Liu
2022 J jnl
DiscrimLoss: A Universal Loss for Hard Samples and Incorrect Samples Discrimination.
CoRR
Tingting Wu, Xiao Ding, Hao Zhang, Jinglong Gao, Li Du, Bing Qin, Ting Liu
2022 J jnl
FedCos: A Scene-adaptive Federated Optimization Enhancement for Performance Improvement.
CoRR
Hao Zhang, Tingting Wu, Siyao Cheng, Jie Liu
2022 J jnl
Focal Frame Loss: A Simple but Effective Loss for Precipitation Nowcasting.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Zhifeng Ma, Hao Zhang, Jie Liu
2022 J jnl
MS-RNN: A Flexible Multi-Scale Framework for Spatiotemporal Predictive Learning.
CoRR
Zhifeng Ma, Hao Zhang, Jie Liu
2022 J jnl
PrecipLSTM: A Meteorological Spatiotemporal LSTM for Precipitation Nowcasting.
IEEE Trans. Geosci. Remote. Sens.
Zhifeng Ma, Hao Zhang, Jie Liu
2022 A* conf
STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processing.
EMNLP
Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu
2020 — conf
GMDA: An Automatic Data Analysis System for Industrial Production.
DASFAA (3)
Zhiyu Liang, Hongzhi Wang, Hao Zhang, Hengyu Guo
2018 J jnl
A generic data analytics system for manufacturing production.
Big Data Min. Anal.
Hao Zhang, Hongzhi Wang, Jianzhong Li, Hong Gao
2015 J jnl
Mobile cloud computing based privacy protection in location-based information survey applications.
Secur. Commun. Networks
Hao Zhang, Nenghai Yu, Yonggang Wen
2014 J jnl
The Optimal Noise Distribution for Privacy Preserving in Mobile Aggregation Applications.
Int. J. Distributed Sens. Networks
Hao Zhang, Nenghai Yu, Honggang Hu
2014 J jnl
Towards optimal noise distribution for privacy preserving in data aggregation.
Comput. Secur.
Hao Zhang, Nenghai Yu, Yonggang Wen, Weiming Zhang
2013 — book
Distributed Hash Table - Theory, Platforms and Applications.
Hao Zhang, Yonggang Wen, Haiyong Xie, Nenghai Yu
2013 — conf
Toward Optimal Additive Noise Distribution for Privacy Protection in Mobile Statistics Aggregation.
GreenCom/iThings/CPScom
Hao Zhang, Yonggang Wen, Honggang Hu, Nenghai Yu