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Journal Articles
- 2024
[j21]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): 1604-1615 (2024)- [j20]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): 2964-2978 (2024) - [j19]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: 120783 (2024) - [j18]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: 120984 (2024) - [j17]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: 285-297 (2024) - [j16]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: 106338 (2024) - [j15]Enneng Yang, Zhenyi Wang, Li Shen, Nan Yin, Tongliang Liu, Guibing Guo, Xingwei Wang, Dacheng Tao:
Continual Learning From a Stream of APIs. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11432-11445 (2024) - [j14]Zhenyi Wang, Haizi Wang, Shibin Zhang, Shuai Qiu:
Shipment lead time hedging and coordination in prefabricated construction supply chain. RAIRO Oper. Res. 58(3): 2143-2166 (2024) - [j13]Tiehang Duan, Zhenyi Wang, Li Shen, Gianfranco Doretto, Donald A. Adjeroh, Fang Li, Cui Tao:
Retain and Adapt: Online Sequential EEG Classification With Subject Shift. IEEE Trans. Artif. Intell. 5(9): 4479-4492 (2024) - [j12]Zhenyi Wang, Hongcai Zhang:
Customized Load Profiles Synthesis for Electricity Customers Based on Conditional Diffusion Models. IEEE Trans. Smart Grid 15(4): 4259-4270 (2024) - 2023
- [j11]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: 126210 (2023) - [j10]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): 98 (2023) - [j9]Chengmin Lin, Pengfei Yang, Quan Wang, Zeyu Qiu, Wenkai Lv, Zhenyi Wang:
Efficient and accurate compound scaling for convolutional neural networks. Neural Networks 167: 787-797 (2023) - [j8]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): 14337-14352 (2023) - [j7]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): 3299 (2023) - [j6]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): 8446 (2023) - [j5]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): 3535-3549 (2023) - 2022
- [j4]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: 727-749 (2022) - [j3]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): 2968-2978 (2022) - 2020
- [j2]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): 1202-1214 (2020) - 2019
- [j1]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): 1309-1312 (2019)
Conference and Workshop Papers
- 2024
- [c39]Zhenyi Wang, Haiyan Ning, Qing Ling, Dan Wang:
VAEGPT-Sim: Improving Sentence Representation with Limited Corpus Using Gradually-Denoising VAE. ACL (Findings) 2024: 8666-8681 - [c38]Yongxian Wei, Zixuan Hu, Zhenyi Wang, Li Shen, Chun Yuan, Dacheng Tao:
Free: Faster and Better Data-Free Meta-Learning. CVPR 2024: 23273-23282 - [c37]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. ECCV (81) 2024: 1-18 - [c36]Zhenyi Wang, Li Shen, Junfeng Guo, Tiehang Duan, Siyu Luan, Tongliang Liu, Mingchen Gao:
Training A Secure Model Against Data-Free Model Extraction. ECCV (79) 2024: 323-340 - [c35]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 - [c34]Zhenyi Wang, Yan Li, Li Shen, Heng Huang:
A Unified and General Framework for Continual Learning. ICLR 2024 - [c33]Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao:
AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR 2024 - [c32]Zixuan Hu, Yongxian Wei, Li Shen, Zhenyi Wang, Lei Li, Chun Yuan, Dacheng Tao:
Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications. ICML 2024 - [c31]Zhenyi Wang, Yihan Wu, Heng Huang:
Defense against Model Extraction Attack by Bayesian Active Watermarking. ICML 2024 - [c30]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. ICML 2024 - [c29]Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao:
Representation Surgery for Multi-Task Model Merging. ICML 2024 - [c28]Donglin Zhan, Yusheng Dai, Yiwei Dong, Jinghai He, Zhenyi Wang, James Anderson:
Meta-Adaptive Stock Movement Prediction with Two-Stage Representation Learning. SDM 2024: 508-516 - 2023
- [c27]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: 1874-1879 - [c26]Fengqi Liang, Huan Zhao, Zhenyi Wang, Wei Fang, Chuan Shi:
Retrieving GNN Architecture for Collaborative Filtering. CIKM 2023: 1379-1388 - [c25]Zhenyi Wang, Huan Zhao, Fengqi Liang, Chuan Shi:
Node-dependent Semantic Search over Heterogeneous Graph Neural Networks. CIKM 2023: 2646-2655 - [c24]Zixuan Hu, Li Shen, Zhenyi Wang, Tongliang Liu, Chun Yuan, Dacheng Tao:
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning. CVPR 2023: 7736-7745 - [c23]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: 24521-24531 - [c22]Tiehang Duan, Zhenyi Wang, Gianfranco Doretto, Fang Li, Cui Tao, Donald A. Adjeroh:
Distributionally Robust Cross Subject EEG Decoding. ECAI 2023: 575-582 - [c21]Enneng Yang, Li Shen, Zhenyi Wang, Shiwei Liu, Guibing Guo, Xingwei Wang:
Data Augmented Flatness-aware Gradient Projection for Continual Learning. ICCV 2023: 5607-5616 - [c20]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: 13610-13627 - [c19]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 - [c18]Enneng Yang, Li Shen, Zhenyi Wang, Tongliang Liu, Guibing Guo:
An Efficient Dataset Condensation Plugin and Its Application to Continual Learning. NeurIPS 2023 - 2022
- [c17]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: 7972-7982 - [c16]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: 221-238 - [c15]Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Tiehang Duan, Mingchen Gao:
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution. ICML 2022: 22985-22998 - [c14]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: 2776-2789 - [c13]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: 2045-2055 - [c12]Zhenyi Wang, Huan Zhao, Chuan Shi:
Profiling the Design Space for Graph Neural Networks based Collaborative Filtering. WSDM 2022: 1109-1119 - 2021
- [c11]Zhenyi Wang, Tiehang Duan, Le Fang, Qiuling Suo, Mingchen Gao:
Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness. ICCV 2021: 8927-8937 - [c10]Yufan Zhou, Zhenyi Wang, Jiayi Xian, Changyou Chen, Jinhui Xu:
Meta-Learning with Neural Tangent Kernels. ICLR 2021 - 2020
- [c9]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: 12281-12288 - [c8]Zhenyi Wang, Xiaoyang Wang, Bang An, Dong Yu, Changyou Chen:
Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints. ACL 2020: 1072-1086 - [c7]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: 236-255 - [c6]Zhenyi Wang, Yang Zhao, Ping Yu, Ruiyi Zhang, Changyou Chen:
Bayesian Meta Sampling for Fast Uncertainty Adaptation. ICLR 2020 - [c5]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: 1-8 - 2018
- [c4]Zhao Huang, Chen Zhao, Quan Wang, Zhenyi Wang:
Implementation and Analysis of Improved RO PUFs with Latch Structure. NaNA 2018: 318-323 - 2016
- [c3]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: 30 - 2014
- [c2]Qing Xie, Lin Ge, Zhenyi Wang:
Design of the virtual reality roam system for ancient city. ICSAI 2014: 119-123 - 2011
- [c1]Zhenyi Wang, Yihong Ru, Hanqing Li:
The Pricing Mechanism of Suppliers in Risk-sharing in External Financing. ICEIS (3) 2011: 145-149
Informal and Other Publications
- 2024
- [i26]Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao:
Representation Surgery for Multi-Task Model Merging. CoRR abs/2402.02705 (2024) - [i25]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 abs/2403.09857 (2024) - [i24]Zhenyi Wang, Yan Li, Li Shen, Heng Huang:
A Unified and General Framework for Continual Learning. CoRR abs/2403.13249 (2024) - [i23]Yongxian Wei, Zixuan Hu, Zhenyi Wang, Li Shen, Chun Yuan, Dacheng Tao:
FREE: Faster and Better Data-Free Meta-Learning. CoRR abs/2405.00984 (2024) - [i22]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 abs/2405.16560 (2024) - [i21]Peipei Yu, Zhenyi Wang, Hongcai Zhang, Yonghua Song:
Safe Reinforcement Learning for Power System Control: A Review. CoRR abs/2407.00681 (2024) - [i20]Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xingwei Wang, Xiaochun Cao, Jie Zhang, Dacheng Tao:
SurgeryV2: Bridging the Gap Between Model Merging and Multi-Task Learning with Deep Representation Surgery. CoRR abs/2410.14389 (2024) - 2023
- [i19]Zixuan Hu, Li Shen, Zhenyi Wang, Tongliang Liu, Chun Yuan, Dacheng Tao:
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning. CoRR abs/2303.11183 (2023) - [i18]Zhenyi Wang, Hongcai Zhang:
Customized Load Profiles Synthesis for Electricity Customers Based on Conditional Diffusion Models. CoRR abs/2304.12076 (2023) - [i17]Zixuan Hu, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao:
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning. CoRR abs/2305.18413 (2023) - [i16]Zhenyi Wang, Enneng Yang, Li Shen, Heng Huang:
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. CoRR abs/2307.09218 (2023) - [i15]Tiehang Duan, Zhenyi Wang, Gianfranco Doretto, Fang Li, Cui Tao, Donald A. Adjeroh:
Distributionally Robust Cross Subject EEG Decoding. CoRR abs/2308.11651 (2023) - [i14]Enneng Yang, Zhenyi Wang, Li Shen, Nan Yin, Tongliang Liu, Guibing Guo, Xingwei Wang, Dacheng Tao:
Continual Learning From a Stream of APIs. CoRR abs/2309.00023 (2023) - [i13]Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao:
AdaMerging: Adaptive Model Merging for Multi-Task Learning. CoRR abs/2310.02575 (2023) - [i12]Zixuan Hu, Li Shen, Zhenyi Wang, Yongxian Wei, Baoyuan Wu, Chun Yuan, Dacheng Tao:
Task-Distributionally Robust Data-Free Meta-Learning. CoRR abs/2311.14756 (2023) - 2022
- [i11]Tiehang Duan, Zhenyi Wang, Sheng Liu, Sargur N. Srihari, Hui Yang:
Uncertainty Detection in EEG Neural Decoding Models. CoRR abs/2201.00627 (2022) - [i10]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 abs/2202.09177 (2022) - [i9]Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Tiehang Duan, Mingchen Gao:
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution. CoRR abs/2207.07256 (2022) - [i8]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 abs/2209.01501 (2022) - 2021
- [i7]Yufan Zhou, Zhenyi Wang, Jiayi Xian, Changyou Chen, Jinhui Xu:
Meta-Learning with Neural Tangent Kernels. CoRR abs/2102.03909 (2021) - [i6]Zhenyi Wang, Tiehang Duan, Le Fang, Qiuling Suo, Mingchen Gao:
Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness. CoRR abs/2109.14120 (2021) - 2020
- [i5]Zhenyi Wang, Xiaoyang Wang, Bang An, Dong Yu, Changyou Chen:
Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints. CoRR abs/2005.00969 (2020) - [i4]Yiding Wang, Zhenyi Wang, Chenghao Li, Yilin Zhang, Haizhou Wang:
A Multitask Deep Learning Approach for User Depression Detection on Sina Weibo. CoRR abs/2008.11708 (2020) - [i3]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 abs/2009.09364 (2020) - 2019
- [i2]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 abs/1912.10150 (2019) - 2018
- [i1]Zhenyi Wang, Olga Veksler:
Location Augmentation for CNN. CoRR abs/1807.07044 (2018)
Coauthor Index
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