Zhenyi Wang

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 74

Top Topics

Diffusion Model

Bayesian Inference

Top Venues

Neural Networks

Publications

Yongxian Wei, Zixuan Hu, Li Shen, Zhenyi Wang, Yu Li, Chun Yuan, Dacheng Tao
Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models. CoRR (2024)
Zhenyi Wang, Haizi Wang, Shibin Zhang, Shuai Qiu
Shipment lead time hedging and coordination in prefabricated construction supply chain. RAIRO Oper. Res. 58 (3) (2024)
Zhenyi Wang, Hongcai Zhang
Customized Load Profiles Synthesis for Electricity Customers Based on Conditional Diffusion Models. IEEE Trans. Smart Grid 15 (4) (2024)
Wenkai Lv, Pengfei Yang, Tianyang Zheng, Chengmin Lin, Zhenyi Wang, Minwen Deng, Quan Wang
Graph-Reinforcement-Learning-Based Dependency-Aware Microservice Deployment in Edge Computing. IEEE Internet Things J. 11 (1) (2024)
Tiehang Duan, Zhenyi Wang, Fang Li, Gianfranco Doretto, Donald A. Adjeroh, Yiyi Yin, Cui Tao
Online continual decoding of streaming EEG signal with a balanced and informative memory buffer. Neural Networks 176 (2024)
Zhenyi Wang, Yan Li, Li Shen, Heng Huang
A Unified and General Framework for Continual Learning. ICLR (2024)
Chenxi Liu, Zhenyi Wang, Tianyi Xiong, Ruibo Chen, Yihan Wu, Junfeng Guo, Heng Huang
Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt. CoRR (2024)
Peipei Yu, Zhenyi Wang, Hongcai Zhang, Yonghua Song
Safe Reinforcement Learning for Power System Control: A Review. CoRR (2024)
Zhenyi Wang, Haiyan Ning, Qing Ling, Dan Wang
VAEGPT-Sim: Improving Sentence Representation with Limited Corpus Using Gradually-Denoising VAE. ACL (Findings) (2024)
Chengmin Lin, Pengfei Yang, Chengcheng Li, Fei Cheng, Wenkai Lv, Zhenyi Wang, Quan Wang
Fine-grained complexity-driven latency predictor in hardware-aware neural architecture search using composite loss. Inf. Sci. 676 (2024)
Yongxian Wei, Zixuan Hu, Zhenyi Wang, Li Shen, Chun Yuan, Dacheng Tao
FREE: Faster and Better Data-Free Meta-Learning. CoRR (2024)
Donglin Zhan, Yusheng Dai, Yiwei Dong, Jinghai He, Zhenyi Wang, James Anderson
Meta-Adaptive Stock Movement Prediction with Two-Stage Representation Learning. SDM (2024)
Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao
AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR (2024)
Zhenyi Wang, Pengfei Yang, Linwei Hu, Bowen Zhang, Chengmin Lin, Wenkai Lv, Quan Wang
SLAPP: Subgraph-level attention-based performance prediction for deep learning models. Neural Networks 170 (2024)
Zhenyi Wang, Pengfei Yang, Bowen Zhang, Linwei Hu, Wenkai Lv, Chengmin Lin, Quan Wang
Flexi-BOPI: Flexible granularity pipeline inference with Bayesian optimization for deep learning models on HMPSoC. Inf. Sci. 678 (2024)
Ziming Hong, Zhenyi Wang, Li Shen, Yu Yao, Zhuo Huang, Shiming Chen, Chuanwu Yang, Mingming Gong, Tongliang Liu
Improving Non-Transferable Representation Learning by Harnessing Content and Style. ICLR (2024)
Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao
Representation Surgery for Multi-Task Model Merging. CoRR (2024)
Zhenyi Wang, Pengfei Yang, Bowen Zhang, Linwei Hu, Wenkai Lv, Chengmin Lin, Cheng Zhang, Quan Wang
Performance Prediction for Deep Learning Models With Pipeline Inference Strategy. IEEE Internet Things J. 11 (2) (2024)
Zhenyi Wang, Yan Li, Li Shen, Heng Huang
A Unified and General Framework for Continual Learning. CoRR (2024)
Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao
AdaMerging: Adaptive Model Merging for Multi-Task Learning. CoRR (2023)
Tao Wen, Congxin Wei, Zhenyi Wang, Linzhu Wang, Zihan Yang, Tingting Gu
Regional Thermal Radiation Characteristics of FY Satellite Remote Sensing Based on Big Data Analysis. Sensors 23 (20) (2023)
Zixuan Hu, Li Shen, Zhenyi Wang, Tongliang Liu, Chun Yuan, Dacheng Tao
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning. CoRR (2023)
Tiehang Duan, Zhenyi Wang, Sheng Liu, Yiyi Yin, Sargur N. Srihari
UNCER: A framework for uncertainty estimation and reduction in neural decoding of EEG signals. Neurocomputing 538 (2023)
Zhenyi Wang, Huan Zhao, Fengqi Liang, Chuan Shi
Node-dependent Semantic Search over Heterogeneous Graph Neural Networks. CIKM (2023)
Zhenyi Wang, Li Shen, Donglin Zhan, Qiuling Suo, Yanjun Zhu, Tiehang Duan, Mingchen Gao
MetaMix: Towards Corruption-Robust Continual Learning with Temporally Self-Adaptive Data Transformation. CVPR (2023)
Tiehang Duan, Zhenyi Wang, Gianfranco Doretto, Fang Li, Cui Tao, Donald A. Adjeroh
Distributionally Robust Cross Subject EEG Decoding. CoRR (2023)
Chengmin Lin, Pengfei Yang, Quan Wang, Zeyu Qiu, Wenkai Lv, Zhenyi Wang
Efficient and accurate compound scaling for convolutional neural networks. Neural Networks 167 (2023)
Zhenyi Wang, Peipei Yu, Hongcai Zhang
Privacy-Preserving Regulation Capacity Evaluation for HVAC Systems in Heterogeneous Buildings Based on Federated Learning and Transfer Learning. IEEE Trans. Smart Grid 14 (5) (2023)
Zhenyi Wang, Enneng Yang, Li Shen, Heng Huang
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. CoRR (2023)
Zhenyi Wang, Li Shen, Tongliang Liu, Tiehang Duan, Yanjun Zhu, Donglin Zhan, David S. Doermann, Mingchen Gao
Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training. NeurIPS (2023)
Zixuan Hu, Li Shen, Zhenyi Wang, Yongxian Wei, Baoyuan Wu, Chun Yuan, Dacheng Tao
Task-Distributionally Robust Data-Free Meta-Learning. CoRR (2023)
Enneng Yang, Li Shen, Zhenyi Wang, Tongliang Liu, Guibing Guo
An Efficient Dataset Condensation Plugin and Its Application to Continual Learning. NeurIPS (2023)
Zhenyi Wang, Li Shen, Tiehang Duan, Qiuling Suo, Le Fang, Wei Liu, Mingchen Gao
Distributionally Robust Memory Evolution With Generalized Divergence for Continual Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Enneng Yang, Zhenyi Wang, Li Shen, Nan Yin, Tongliang Liu, Guibing Guo, Xingwei Wang, Dacheng Tao
Continual Learning From a Stream of APIs. CoRR (2023)
Tiehang Duan, Zhenyi Wang, Gianfranco Doretto, Fang Li, Cui Tao, Donald A. Adjeroh
Replay with Stochastic Neural Transformation for Online Continual EEG Classification. BIBM (2023)
Zhenyi Wang, Hongcai Zhang
Customized Load Profiles Synthesis for Electricity Customers Based on Conditional Diffusion Models. CoRR (2023)
Wenkai Lv, Pengfei Yang, Yunqing Ding, Zhenyi Wang, Chengmin Lin, Quan Wang
Energy-Efficient and QoS-Aware Computation Offloading in GEO/LEO Hybrid Satellite Networks. Remote. Sens. 15 (13) (2023)
Zixuan Hu, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning. ICML (2023)
Zhenyi Wang, Shengyun Wei, Li Zou, Feifan Liao, Weimin Lang, Yuanzhuo Li
Deep-Learning-Based Carrier Frequency Offset Estimation and Its Cross-Evaluation in Multiple-Channel Models. Inf. 14 (2) (2023)
Zixuan Hu, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning. CoRR (2023)
Tiehang Duan, Zhenyi Wang, Gianfranco Doretto, Fang Li, Cui Tao, Donald A. Adjeroh
Distributionally Robust Cross Subject EEG Decoding. ECAI (2023)
Zixuan Hu, Li Shen, Zhenyi Wang, Tongliang Liu, Chun Yuan, Dacheng Tao
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning. CVPR (2023)
Enneng Yang, Li Shen, Zhenyi Wang, Shiwei Liu, Guibing Guo, Xingwei Wang
Data Augmented Flatness-aware Gradient Projection for Continual Learning. ICCV (2023)
Fengqi Liang, Huan Zhao, Zhenyi Wang, Wei Fang, Chuan Shi
Retrieving GNN Architecture for Collaborative Filtering. CIKM (2023)
Zhenyi Wang, Li Shen, Tiehang Duan, Donglin Zhan, Le Fang, Mingchen Gao
Learning to Learn and Remember Super Long Multi-Domain Task Sequence. CVPR (2022)
Zhenyi Wang, Xiaoyang Wang, Li Shen, Qiuling Suo, Kaiqiang Song, Dong Yu, Yan Shen, Mingchen Gao
Meta-learning without data via Wasserstein distributionally-robust model fusion. UAI (2022)
Tiehang Duan, Zhenyi Wang, Sheng Liu, Sargur N. Srihari, Hui Yang
Uncertainty Detection in EEG Neural Decoding Models. CoRR (2022)
Tianyu Zhao, Cheng Yang, Yibo Li, Quan Gan, Zhenyi Wang, Fengqi Liang, Huan Zhao, Yingxia Shao, Xiao Wang, Chuan Shi
Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network. CoRR (2022)
Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Tiehang Duan, Mingchen Gao
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution. CoRR (2022)
Yiding Wang, Zhenyi Wang, Chenghao Li, Yilin Zhang, Haizhou Wang
Online social network individual depression detection using a multitask heterogenous modality fusion approach. Inf. Sci. 609 (2022)
Wenkai Lv, Quan Wang, Pengfei Yang, Yunqing Ding, Bijie Yi, Zhenyi Wang, Chengmin Lin
Microservice Deployment in Edge Computing Based on Deep Q Learning. IEEE Trans. Parallel Distributed Syst. 33 (11) (2022)
Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Tiehang Duan, Mingchen Gao
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution. ICML (2022)
Tianyu Zhao, Cheng Yang, Yibo Li, Quan Gan, Zhenyi Wang, Fengqi Liang, Huan Zhao, Yingxia Shao, Xiao Wang, Chuan Shi
Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network. SIGIR (2022)
Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, Mingchen Gao
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions. ECCV (20) (2022)
Zhenyi Wang, Huan Zhao, Chuan Shi
Profiling the Design Space for Graph Neural Networks based Collaborative Filtering. WSDM (2022)
Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, Mingchen Gao
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions. CoRR (2022)
Yufan Zhou, Zhenyi Wang, Jiayi Xian, Changyou Chen, Jinhui Xu
Meta-Learning with Neural Tangent Kernels. ICLR (2021)
Zhenyi Wang, Tiehang Duan, Le Fang, Qiuling Suo, Mingchen Gao
Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness. ICCV (2021)
Zhenyi Wang, Tiehang Duan, Le Fang, Qiuling Suo, Mingchen Gao
Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness. CoRR (2021)
Yufan Zhou, Zhenyi Wang, Jiayi Xian, Changyou Chen, Jinhui Xu
Meta-Learning with Neural Tangent Kernels. CoRR (2021)
Zhenyi Wang, Xiaoyang Wang, Bang An, Dong Yu, Changyou Chen
Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints. CoRR (2020)
Jie Xia, Zhenyi Wang, Yi Huan, Wenjie Xue, Xing Wang, Yuxi Wang, Zhenming Liu, Jui-Hua Hsieh, Liangren Zhang, Song Wu, Zhufang Shen, Hongmin Zhang, Xiang Simon Wang
Pose Filter-Based Ensemble Learning Enables Discovery of Orally Active, Nonsteroidal Farnesoid X Receptor Agonists. J. Chem. Inf. Model. 60 (3) (2020)
Zhenyi Wang, Ping Yu, Yang Zhao, Ruiyi Zhang, Yufan Zhou, Junsong Yuan, Changyou Chen
Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions. AAAI (2020)
Yiding Wang, Zhenyi Wang, Chenghao Li, Yilin Zhang, Haizhou Wang
A Multitask Deep Learning Approach for User Depression Detection on Sina Weibo. CoRR (2020)
Zhenyi Wang, Xiaoyang Wang, Bang An, Dong Yu, Changyou Chen
Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints. ACL (2020)
Bang An, Jie Lyu, Zhenyi Wang, Chunyuan Li, Changwei Hu, Fei Tan, Ruiyi Zhang, Yifan Hu, Changyou Chen
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference. EMNLP (1) (2020)
Bang An, Jie Lyu, Zhenyi Wang, Chunyuan Li, Changwei Hu, Fei Tan, Ruiyi Zhang, Yifan Hu, Changyou Chen
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference. CoRR (2020)
Zhenyi Wang, Yang Zhao, Ping Yu, Ruiyi Zhang, Changyou Chen
Bayesian Meta Sampling for Fast Uncertainty Adaptation. ICLR (2020)
Yiding Wang, Zhenyi Wang, Chenghao Li, Yilin Zhang, Haizhou Wang
A Multimodal Feature Fusion-Based Method for Individual Depression Detection on Sina Weibo. IPCCC (2020)
Zhenyi Wang, Ping Yu, Yang Zhao, Ruiyi Zhang, Yufan Zhou, Junsong Yuan, Changyou Chen
Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions. CoRR (2019)
Peng-Mian Feng, Zhenyi Wang, Xiaoyu Yu
Predicting Antimicrobial Peptides by Using Increment of Diversity with Quadratic Discriminant Analysis Method. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (4) (2019)
Zhao Huang, Chen Zhao, Quan Wang, Zhenyi Wang
Implementation and Analysis of Improved RO PUFs with Latch Structure. NaNA (2018)
Zhenyi Wang, Olga Veksler
Location Augmentation for CNN. CoRR (2018)
Zhenyi Wang, Qiutong He, Pengtao Zhou
Top Management Team Heterogeneity Influence on Technological Innovation - The Empirical Analysis on the IT Enterprises from Six. WHICEB (2016)
Qing Xie, Lin Ge, Zhenyi Wang
Design of the virtual reality roam system for ancient city. ICSAI (2014)
Zhenyi Wang, Yihong Ru, Hanqing Li
The Pricing Mechanism of Suppliers in Risk-sharing in External Financing. ICEIS (3) (2011)