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ORCIDPeng Jiang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Peng Jiang 0001 — Queen Mary University of London, UK
- Peng Jiang 0002 — Kwai Inc. / Kuaishou Inc., Beijing, China (and 3 more)
- Peng Jiang 0004
![[0000-0001-7743-6062]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-7743-6062")
— University of Iowa, IA, USA (and 1 more)
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2020 – today
- 2023
[j158]Huishi Toh, Atefeh Bagheri, Colin N. Dewey, Ron M. Stewart, Lili Yan, Dennis Clegg, James A. Thomson, Peng Jiang:
A Nile rat transcriptomic landscape across 22 organs by ultra-deep sequencing and comparative RNA-seq pipeline (CRSP). Comput. Biol. Chem. 102: 107795 (2023)- [j157]Xin Wang, Peng Jiang, Thar Baker, Tielei Li, Liehuang Zhu:
Enabling privacy and leakage resistance for dynamic blockchain-based access control systems. Comput. Stand. Interfaces 84: 103690 (2023) - [j156]Uddom Lee, Peng Jiang, Hongyi Wu, Chunsheng Xin:
View Synthesis with Scene Recognition for Cross-View Image Localization. Future Internet 15(4): 126 (2023) - [j155]Peng Jiang, Yi-Chung Hu:
Constructing interval models using neural networks with non-additive combinations of grey prediction models in tourism demand. Grey Syst. Theory Appl. 13(1): 58-77 (2023) - [j154]Kangqu Zhou, Chen Yang, Lvcheng Li, Cong Miao, Lijun Song, Peng Jiang, Jiafu Su:
A folksonomy-based collaborative filtering method for crowdsourcing knowledge-sharing communities. Kybernetes 52(1): 328-343 (2023) - [j153]Senlin Yang, Tariq Alkhalifah, Yuxiao Ren, Bin Liu, Yuanyuan Li, Peng Jiang:
Well-Log Information-Assisted High-Resolution Waveform Inversion Based on Deep Learning. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j152]Qi Wang, Xiaolong Lu, Ningyi Yuan, Peng Jiang, Junyi Yao, Yu Liu, Jianning Ding:
Centimeter-Scale Underwater Robot With High-Speed Inspired by Jellyfish. IEEE Robotics Autom. Lett. 8(5): 2976-2982 (2023) - [j151]Xinli Xu, Shaocong Dong, Tingfa Xu, Lihe Ding, Jie Wang, Peng Jiang, Liqiang Song, Jianan Li:
FusionRCNN: LiDAR-Camera Fusion for Two-Stage 3D Object Detection. Remote. Sens. 15(7): 1839 (2023) - [j150]Limin He, Heng Wu, Jifeng Li, Bingqiang Li, Yulai Sun, Peng Jiang, Xiaoxu Wang, Guanyu Lin:
Solid Particle Swarm Measurement in Jet Fuel Based on Mie Scattering Theory and Extinction Method. Sensors 23(5): 2837 (2023) - [j149]Peng Jiang, Wenyu Sun, Wei Li, Hongyu Wang, Cong Liu:
Extreme-Low-Speed Heavy Load Bearing Fault Diagnosis by Using Improved RepVGG and Acoustic Emission Signals. Sensors 23(7): 3541 (2023) - [j148]Bin Liu, Yonghao Pang, Peng Jiang, Zhengyu Liu, Benchao Liu, Yongheng Zhang, Yumei Cai, Jiawen Liu:
Physics-Driven Deep Learning Inversion for Direct Current Resistivity Survey Data. IEEE Trans. Geosci. Remote. Sens. 61: 1-11 (2023) - [j147]Yanyan Wang, Menghui Niu, Kechen Song, Peng Jiang, Yunhui Yan:
Normal-Knowledge-Based Pavement Defect Segmentation Using Relevance-Aware and Cross-Reasoning Mechanisms. IEEE Trans. Intell. Transp. Syst. 24(4): 4413-4427 (2023) - [c108]Peng Jiang, Hongyi Wu, Yanxiao Zhao, Dan Zhao, Chunsheng Xin:
SEEK: Detecting GPS Spoofing via a Sequential Dashcam-Based Vehicle Localization Framework. PERCOM 2023: 71-80 - [c107]Yuan Zhang, Xue Dong, Weijie Ding, Biao Li, Peng Jiang, Kun Gai:
Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems from a Multi-task Perspective. WWW (Companion Volume) 2023: 366-370 - [c106]Weiqi Zhao, Dian Tang, Xin Chen, Dawei Lv, Daoli Ou, Biao Li, Peng Jiang, Kun Gai:
Disentangled Causal Embedding With Contrastive Learning For Recommender System. WWW (Companion Volume) 2023: 406-410 - [c105]Qingpeng Cai, Shuchang Liu, Xueliang Wang, Tianyou Zuo, Wentao Xie, Bin Yang, Dong Zheng, Peng Jiang, Kun Gai:
Reinforcing User Retention in a Billion Scale Short Video Recommender System. WWW (Companion Volume) 2023: 421-426 - [c104]Shuchang Liu, Qingpeng Cai, Bowen Sun, Yuhao Wang, Ji Jiang, Dong Zheng, Peng Jiang, Kun Gai, Xiangyu Zhao, Yongfeng Zhang:
Exploration and Regularization of the Latent Action Space in Recommendation. WWW 2023: 833-844 - [c103]Qingpeng Cai, Zhenghai Xue, Chi Zhang, Wanqi Xue, Shuchang Liu, Ruohan Zhan, Xueliang Wang, Tianyou Zuo, Wentao Xie, Dong Zheng, Peng Jiang, Kun Gai:
Two-Stage Constrained Actor-Critic for Short Video Recommendation. WWW 2023: 865-875 - [c102]Ziru Liu, Jiejie Tian, Qingpeng Cai, Xiangyu Zhao, Jingtong Gao, Shuchang Liu, Dayou Chen, Tonghao He, Dong Zheng, Peng Jiang, Kun Gai:
Multi-Task Recommendations with Reinforcement Learning. WWW 2023: 1273-1282 - [i48]Qingpeng Cai, Zhenghai Xue, Chi Zhang, Wanqi Xue, Shuchang Liu, Ruohan Zhan, Xueliang Wang, Tianyou Zuo, Wentao Xie, Dong Zheng, Peng Jiang, Kun Gai:
Two-Stage Constrained Actor-Critic for Short Video Recommendation. CoRR abs/2302.01680 (2023) - [i47]Qingpeng Cai, Shuchang Liu, Xueliang Wang, Tianyou Zuo, Wentao Xie, Bin Yang, Dong Zheng, Peng Jiang, Kun Gai:
Reinforcing User Retention in a Billion Scale Short Video Recommender System. CoRR abs/2302.01724 (2023) - [i46]Yuan Zhang, Xue Dong, Weijie Ding, Biao Li, Peng Jiang, Kun Gai:
Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems From a Multi-task Perspective. CoRR abs/2302.02657 (2023) - [i45]Weiqi Zhao, Dian Tang, Xin Chen, Dawei Lv, Daoli Ou, Biao Li, Peng Jiang, Kun Gai:
Disentangled Causal Embedding With Contrastive Learning For Recommender System. CoRR abs/2302.03248 (2023) - [i44]Ziru Liu, Jiejie Tian, Qingpeng Cai, Xiangyu Zhao, Jingtong Gao, Shuchang Liu, Dayou Chen, Tonghao He, Dong Zheng, Peng Jiang, Kun Gai:
Multi-Task Recommendations with Reinforcement Learning. CoRR abs/2302.03328 (2023) - [i43]Shuchang Liu, Qingpeng Cai, Bowen Sun, Yuhao Wang, Ji Jiang, Dong Zheng, Kun Gai, Peng Jiang, Xiangyu Zhao, Yongfeng Zhang:
Exploration and Regularization of the Latent Action Space in Recommendation. CoRR abs/2302.03431 (2023) - [i42]Ziang Yan, Shusen Wang, Guorui Zhou, Jingjian Lin, Peng Jiang:
An End-to-End Framework for Marketing Effectiveness Optimization under Budget Constraint. CoRR abs/2302.04477 (2023) - [i41]Peng Jiang, Srikanth Saripalli:
Improving Extrinsics between RADAR and LIDAR using Learning. CoRR abs/2305.10594 (2023) - 2022
- [j146]Xiangtao Tian, Zhengli Zhao, Peng Jiang, Jianxin Wu, Guoqiang Zhong:
Category Relevance Redirection Network for Few-Shot Classification. IEEE Access 10: 86733-86743 (2022) - [j145]Peng Jiang, Geng Wu, Yi-Chung Hu, Xue Zhang, Yining Ren:
Novel Fractional Grey Prediction Model with the Change-Point Detection for Overseas Talent Mobility Prediction. Axioms 11(9): 432 (2022) - [j144]Peng Jiang, Kexin Yan, Haijian Chen, Hai Sun:
Building of online evaluation system based on socket protocol. Comput. Sci. Inf. Syst. 19(1): 185-204 (2022) - [j143]Zhuo Chen, Liehuang Zhu, Peng Jiang, Can Zhang, Feng Gao, Jialing He, Dawei Xu, Yan Zhang:
Blockchain Meets Covert Communication: A Survey. IEEE Commun. Surv. Tutorials 24(4): 2163-2192 (2022) - [j142]Peng Jiang, Hongyi Wu, Chunsheng Xin:
DeepPOSE: Detecting GPS spoofing attack via deep recurrent neural network. Digit. Commun. Networks 8(5): 791-803 (2022) - [j141]Peng Jiang, Shunsheng Guo, Baigang Du, Jun Guo:
Two-sided matching decision-making model for complex product system based on life-cycle sustainability assessment. Expert Syst. Appl. 208: 118184 (2022) - [j140]Yu Zheng, Liang Chen, Peng Jiang, Huanchong Cheng:
A sub-assembly division method based on community detection algorithm. Int. J. Comput. Integr. Manuf. 35(10-11): 1133-1150 (2022) - [j139]Shuang Fu, Chenyang Ding, Peng Jiang:
Computational Offloading of Service Workflow in Mobile Edge Computing. Inf. 13(7): 348 (2022) - [j138]Wenhao Liu, Huakui Lei, Hongfei Liu, Peng Jiang:
Design of an ultra-wideband LNA using transformer matching method. Integr. 87: 122-136 (2022) - [j137]Peng Jiang, Baoqi Qiu, Liehuang Zhu:
FastPRS: Augmenting Fast and Hidden Query in EPR Systems via Online/Offline Puncturable Search. IEEE Internet Things J. 9(2): 1531-1541 (2022) - [j136]Peng Jiang, Baoqi Qiu, Liehuang Zhu:
Toward Reliable and Confidential Release for Smart Contract via ID-Based TRE. IEEE Internet Things J. 9(13): 11422-11433 (2022) - [j135]Peng Jiang, Chenjie Yang, Liehuang Zhu:
RePEL: Blockchain-Empowered Conditional Privacy-Preserving Encrypted Learning. IEEE Internet Things J. 9(14): 12684-12695 (2022) - [j134]Keke Gai, Zhengkang Fang, Ruili Wang, Liehuang Zhu, Peng Jiang, Kim-Kwang Raymond Choo:
Edge Computing and Lightning Network Empowered Secure Food Supply Management. IEEE Internet Things J. 9(16): 14247-14259 (2022) - [j133]Jianchang Lai, Fuchun Guo, Willy Susilo, Peng Jiang, Guomin Yang, Xinyi Huang:
Generic conversions from CPA to CCA without ciphertext expansion for threshold ABE with constant-size ciphertexts. Inf. Sci. 613: 966-981 (2022) - [j132]Bin Liu, Jinghang Yue, Zhiwu Zuo, Xinji Xu, Chao Fu, Senlin Yang, Peng Jiang:
Unsupervised Deep Learning for Random Noise Attenuation of Seismic Data. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j131]Liang Liang, Jinguo Qin, Peng Jiang, Zhengchuan Chen, Yunjian Jia:
An Online Adjustment Based Node Placement Mechanism for the NFV-enabled MEC Network. Mob. Networks Appl. 27(4): 1490-1505 (2022) - [j130]Xun Wang, Yang Li, Mengqi He, Xiangren Kong, Peng Jiang, Xi Liu, Lihong Diao, Xinlei Zhang, Honglei Li, Xinping Ling, Simin Xia, Zhongyang Liu, Yuan Liu, Chun-Ping Cui, Yan Wang, Liujun Tang, Lingqiang Zhang, Fuchu He, Dong Li:
UbiBrowser 2.0: a comprehensive resource for proteome-wide known and predicted ubiquitin ligase/deubiquitinase-substrate interactions in eukaryotic species. Nucleic Acids Res. 50(D1): 719-728 (2022) - [j129]Shuang Fu, Peng Jiang, Chenyang Ding:
Wireless powered hybrid backscatter-active communications with hardware impairments. Phys. Commun. 52: 101604 (2022) - [j128]Sichen Wang, Yanfeng Huo, Xi Mu, Peng Jiang, Shangpei Xun, Binfang He, Wenyu Wu, Lin Liu, Yonghong Wang:
A High-Performance Convolutional Neural Network for Ground-Level Ozone Estimation in Eastern China. Remote. Sens. 14(7): 1640 (2022) - [j127]Yu Zhang, Dan Zhang, Zhen Han, Peng Jiang:
A Joint Denoising Learning Model for Weight Update Space-Time Diversity Method. Remote. Sens. 14(10): 2430 (2022) - [j126]Chaoyong Peng, Peng Jiang, Qiang Ma, Jinrong Su, Yichuan Cai, Yu Zheng:
Chinese Nationwide Earthquake Early Warning System and Its Performance in the 2022 Lushan M6.1 Earthquake. Remote. Sens. 14(17): 4269 (2022) - [j125]Qin Wang, Qin Ju, Yueyang Wang, Xiaolei Fu, Wenjie Zhao, Yiheng Du, Peng Jiang, Zhenchun Hao:
Regional Patterns of Vegetation Dynamics and Their Sensitivity to Climate Variability in the Yangtze River Basin. Remote. Sens. 14(21): 5623 (2022) - [j124]Benchao Liu, Peng Jiang, Qian Guo, Chuanwu Wang:
Deep Learning Inversion of Electrical Resistivity Data by One-Sided Mapping. IEEE Signal Process. Lett. 29: 2248-2252 (2022) - [j123]Willy Susilo, Peng Jiang, Jianchang Lai, Fuchun Guo, Guomin Yang, Robert H. Deng:
Sanitizable Access Control System for Secure Cloud Storage Against Malicious Data Publishers. IEEE Trans. Dependable Secur. Comput. 19(3): 2138-2148 (2022) - [j122]Jing Wang, Hanchi Liu, Peng Jiang, Zhengfang Wang, Qingmei Sui, Fengkai Zhang:
GPRI2Net: A Deep-Neural-Network-Based Ground Penetrating Radar Data Inversion and Object Identification Framework for Consecutive and Long Survey Lines. IEEE Trans. Geosci. Remote. Sens. 60: 1-20 (2022) - [j121]Peng Jiang, Baoqi Qiu, Liehuang Zhu:
Report When Malicious: Deniable and Accountable Searchable Message-Moderation System. IEEE Trans. Inf. Forensics Secur. 17: 1597-1609 (2022) - [j120]Hongwen Dong, Kechen Song, Qi Wang, Yunhui Yan, Peng Jiang:
Deep Metric Learning-Based for Multi-Target Few-Shot Pavement Distress Classification. IEEE Trans. Ind. Informatics 18(3): 1801-1810 (2022) - [j119]Hongwen Dong, Kechen Song, Yanyan Wang, Yunhui Yan, Peng Jiang:
Automatic Inspection and Evaluation System for Pavement Distress. IEEE Trans. Intell. Transp. Syst. 23(8): 12377-12387 (2022) - [j118]Peng Jiang, Shiji Song, Gao Huang:
Attention-Based Meta-Reinforcement Learning for Tracking Control of AUV With Time-Varying Dynamics. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6388-6401 (2022) - [j117]Jianchang Lai, Fuchun Guo, Willy Susilo, Xinyi Huang, Peng Jiang, Futai Zhang:
Data Access Control in Cloud Computing: Flexible and Receiver Extendable. IEEE Trans. Serv. Comput. 15(5): 2658-2670 (2022) - [j116]Chenjie Yang, Peng Jiang, Liehuang Zhu:
Accelerating Decentralized and Partial-Privacy Data Access for VANET via Online/Offline Functional Encryption. IEEE Trans. Veh. Technol. 71(8): 8944-8954 (2022) - [j115]Shenyuan Ren, Ligang He, Junyu Li, Zhiyan Chen, Peng Jiang, Chang-Tsun Li:
Contention-aware prediction for performance impact of task co-running in multicore computers. Wirel. Networks 28(3): 1293-1300 (2022) - [j114]Peng Jiang, Ligang He, Shenyuan Ren, Zhiyan Chen, Rui Mao:
vChecker: an application-level demand-based co-scheduler for improving the performance of parallel jobs in Xen. Wirel. Networks 28(3): 1313-1319 (2022) - [c101]Wanwei He, Yinpei Dai, Yinhe Zheng, Yuchuan Wu, Zheng Cao, Dermot Liu, Peng Jiang, Min Yang, Fei Huang, Luo Si, Jian Sun, Yongbin Li:
GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-supervised Learning and Explicit Policy Injection. AAAI 2022: 10749-10757 - [c100]Yuqi Chen, Juan Liu, Peng Jiang, Lang Wang, Baochuan Pang, Dehua Cao:
Predicting Tumor Mutation Burden of TNBC Based on Nuclei Scores of Histopathological Images. BIBM 2022: 936-941 - [c99]Lele Li, Ziling Wu, Juan Liu, Lang Wang, Yu Jin, Peng Jiang, Jing Feng, Meng Wu:
Cross-Attention Based Multi-Scale Feature Fusion Vision Transformer For Breast Ultrasound Image Classification. BIBM 2022: 1616-1619 - [c98]Yuqi Chen, Juan Liu, Peng Jiang, Jing Feng, Dehua Cao, Baochuan Pang:
A Context-Guided Attention Method for Integrating Features of Histopathological Patches. BIBM 2022: 2281-2286 - [c97]Peng Jiang, Juan Liu, Lang Wang, Jing Feng, Dehua Cao, Baochuan Pang:
Classifying Cervical Histopathological Whole Slide Images via Deep Multi-Instance Transfer Learning. BIBM 2022: 2302-2307 - [c96]Peng Jiang, Srikanth Saripalli:
Contrastive Learning of Features between Images and LiDAR. CASE 2022: 411-417 - [c95]Chongming Gao, Shijun Li, Wenqiang Lei, Jiawei Chen, Biao Li, Peng Jiang, Xiangnan He, Jiaxin Mao, Tat-Seng Chua:
KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems. CIKM 2022: 540-550 - [c94]Xudong Gong, Qinlin Feng, Yuan Zhang, Jiangling Qin, Weijie Ding, Biao Li, Peng Jiang, Kun Gai:
Real-time Short Video Recommendation on Mobile Devices. CIKM 2022: 3103-3112 - [c93]Peng Jiang, Juan Liu, Di Xiao, Baochuan Pang, Zongjie Hao, Dehua Cao:
A Novel IoMT System for Pathological Diagnosis Based on Intelligent Mobile Scanner and Whole Slide Image Stitching Method. ICIC (3) 2022: 463-472 - [c92]Hude Ma, Jingdan Hou, Wenhui Xiong, Zhilin Zhang, Fucheng Wang, Jie Cao, Peng Jiang, Hanjun Yang, Ximei Liu, Jingkun Xu:
3D Printing of PEDOT: PSS-PU-PAA Hydrogels with Excellent Mechanical and Electrical Performance for EMG Electrodes. ICIRA (2) 2022: 295-304 - [c91]Yinkang Liu, Ming Ren, Rongfa Chen, Keqing Chen, Peng Jiang, Ronghao Sun:
A Comparative Study on Partial Discharge Characteristics for XLPE Cable. ICITEE 2022: 307-311 - [c90]Peng Jiang, Juan Liu, Hua Chen, Cheng Li, Baochuan Pang, Dehua Cao:
Channel Spatial Collaborative Attention Network for Fine-Grained Classification of Cervical Cells. ICONIP (6) 2022: 540-551 - [c89]Jiayin Wang, Weizhi Ma, Jiayu Li, Hongyu Lu, Min Zhang, Biao Li, Yiqun Liu, Peng Jiang, Shaoping Ma:
Make Fairness More Fair: Fair Item Utility Estimation and Exposure Re-Distribution. KDD 2022: 1868-1877 - [c88]Zihan Lin, Hui Wang, Jingshu Mao, Wayne Xin Zhao, Cheng Wang, Peng Jiang, Ji-Rong Wen:
Feature-aware Diversified Re-ranking with Disentangled Representations for Relevant Recommendation. KDD 2022: 3327-3335 - [c87]Ruohan Zhan, Changhua Pei, Qiang Su, Jianfeng Wen, Xueliang Wang, Guanyu Mu, Dong Zheng, Peng Jiang, Kun Gai:
Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation. KDD 2022: 4472-4481 - [c86]Qizhi Lin, Changyu Hou, Xiaopeng Wang, Jun Wang, Yixuan Qiao, Peng Jiang, Xiandi Jiang, Benqi Wang, Qifeng Xiao:
PA Ph&Tech at SemEval-2022 Task 11: NER Task with Ensemble Embedding from Reinforcement Learning. SemEval@NAACL 2022: 1444-1447 - [c85]Changyu Hou, Jun Wang, Yixuan Qiao, Peng Jiang, Peng Gao, Guotong Xie, Qizhi Lin, Xiaopeng Wang, Xiandi Jiang, Benqi Wang, Qifeng Xiao:
SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models. SemEval@NAACL 2022: 1593-1596 - [c84]Haofeng Yuan, Peng Jiang, Shiji Song:
The Neural-Prediction based Acceleration Algorithm of Column Generation for Graph-Based Set Covering Problems. SMC 2022: 1115-1120 - [c83]Wanlu Yang, Peng Jiang, Shiji Song:
High-speed Train Timetabling Based on Reinforcement Learning. SSCI 2022: 1187-1193 - [c82]Yuanhang Zhou, Kun Zhou, Wayne Xin Zhao, Cheng Wang, Peng Jiang, He Hu:
C²-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System. WSDM 2022: 1488-1496 - [c81]Meng Ai, Biao Li, Heyang Gong, Qingwei Yu, Shengjie Xue, Yuan Zhang, Yunzhou Zhang, Peng Jiang:
LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm. WWW 2022: 2310-2319 - [i40]Yuanhang Zhou, Kun Zhou, Wayne Xin Zhao, Cheng Wang, Peng Jiang, He Hu:
C2-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System. CoRR abs/2201.02732 (2022) - [i39]Meng Ai, Biao Li, Heyang Gong, Qingwei Yu, Shengjie Xue, Yuan Zhang, Yunzhou Zhang, Peng Jiang:
LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm. CoRR abs/2201.12585 (2022) - [i38]Peng Jiang, Krishna Sumanth Muppalla, Qing Wei, Chidambara Natarajan Gopal, Chun Wang:
Double-Barreled Question Detection at Momentive. CoRR abs/2203.03545 (2022) - [i37]Ximeng Ye, Hongyu Li, Peng Jiang, Tiejun Wang, Guoliang Qin:
Learning Transient Partial Differential Equations with Local Neural Operators. CoRR abs/2203.08145 (2022) - [i36]Hongyu Li, Peng Jiang, Tiejun Wang:
Deep Learning based Intelligent Coin-tap Test for Defect Recognition. CoRR abs/2203.12594 (2022) - [i35]Jillur Rahman Saurav, Mohammad Sadegh Nasr, Paul Koomey, Michael Robben, Manfred Huber, Jon Weidanz, Bríd Ryan, Eytan Ruppin, Peng Jiang, Jacob M. Luber:
A SSIM Guided cGAN Architecture For Clinically Driven Generative Image Synthesis of Multiplexed Spatial Proteomics Channels. CoRR abs/2205.10373 (2022) - [i34]Qingpeng Cai, Ruohan Zhan, Chi Zhang, Jie Zheng, Guangwei Ding, Pinghua Gong, Dong Zheng, Peng Jiang:
Constrained Reinforcement Learning for Short Video Recommendation. CoRR abs/2205.13248 (2022) - [i33]Changyu Hou, Jun Wang, Yixuan Qiao, Peng Jiang, Peng Gao, Guotong Xie, Qizhi Lin, Xiaopeng Wang, Xiandi Jiang, Benqi Wang, Qifeng Xiao:
SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models. CoRR abs/2205.14660 (2022) - [i32]Wanqi Xue, Qingpeng Cai, Ruohan Zhan, Dong Zheng, Peng Jiang, Bo An:
ResAct: Reinforcing Long-term Engagement in Sequential Recommendation with Residual Actor. CoRR abs/2206.02620 (2022) - [i31]Zihan Lin, Hui Wang, Jingshu Mao, Wayne Xin Zhao, Cheng Wang, Peng Jiang, Ji-Rong Wen:
Feature-aware Diversified Re-ranking with Disentangled Representations for Relevant Recommendation. CoRR abs/2206.05020 (2022) - [i30]Ruohan Zhan, Changhua Pei, Qiang Su, Jianfeng Wen, Xueliang Wang, Guanyu Mu, Dong Zheng, Peng Jiang:
Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation. CoRR abs/2206.06003 (2022) - [i29]Peng Jiang, Srikanth Saripalli:
Contrastive Learning of Features between Images and LiDAR. CoRR abs/2206.12071 (2022) - [i28]Haofeng Yuan, Peng Jiang, Shiji Song:
The Neural-Prediction based Acceleration Algorithm of Column Generation for Graph-Based Set Covering Problems. CoRR abs/2207.01411 (2022) - [i27]Xudong Gong, Qinlin Feng, Yuan Zhang, Jiangling Qin, Weijie Ding, Biao Li, Peng Jiang:
Real-time Short Video Recommendation on Mobile Devices. CoRR abs/2208.09577 (2022) - [i26]Peng Jiang, Juan Liu, Lang Wang, Zhihui Yang, Hongyu Dong, Jing Feng:
Deeply Supervised Layer Selective Attention Network: Towards Label-Efficient Learning for Medical Image Classification. CoRR abs/2209.13844 (2022) - [i25]Wanqi Xue, Qingpeng Cai, Zhenghai Xue, Shuo Sun, Shuchang Liu, Dong Zheng, Peng Jiang, Bo An:
PrefRec: Preference-based Recommender Systems for Reinforcing Long-term User Engagement. CoRR abs/2212.02779 (2022) - [i24]Jianan Li, Shenwang Jiang, Liqiang Song, Peiran Peng, Feng Mu, Hui Li, Peng Jiang, Tingfa Xu:
Automated Optical Inspection of FAST's Reflector Surface using Drones and Computer Vision. CoRR abs/2212.09039 (2022) - 2021
- [j113]Yuxiao Ren, Lichao Nie, Senlin Yang, Peng Jiang, Yangkang Chen:
Building Complex Seismic Velocity Models for Deep Learning Inversion. IEEE Access 9: 63767-63778 (2021) - [j112]Jing Wang, Kefu Chen, Hanchi Liu, Jiaqi Zhang, Wenqiang Kang, Shufan Li, Peng Jiang, Qingmei Sui, Zhengfang Wang:
Deep Learning-Based Rebar Clutters Removal and Defect Echoes Enhancement in GPR Images. IEEE Access 9: 87207-87218 (2021) - [j111]Shantanu Vyas, Ting-Ju Chen, Ronak R. Mohanty, Peng Jiang, Vinayak R. Krishnamurthy:
Latent Embedded Graphs for Image and Shape Interpolation. Comput. Aided Des. 140: 103091 (2021) - [j110]Yi-Chung Hu, Peng Jiang, Yu-Jing Chiu, Yen-Wei Ken:
Incorporating Grey Relational Analysis into Grey Prediction Models to Forecast the Demand for Magnesium Materials. Cybern. Syst. 52(6): 522-532 (2021) - [j109]Liping Wei, Peng Jiang, Wenming Yang, Xiao Liu, Yanjun Dai, Christine A. Shoemaker, Chi-Hwa Wang:
Input parameter tuning of 3D biodiesel engine simulation using parallel surrogate optimization algorithm. Comput. Chem. Eng. 145: 107180 (2021) - [j108]Ying Ma, Guoqiang Zhong, Wen Liu, Yanan Wang, Peng Jiang, Rui Zhang:
ML-CGAN: Conditional Generative Adversarial Network with a Meta-learner Structure for High-Quality Image Generation with Few Training Data. Cogn. Comput. 13(2): 418-430 (2021) - [j107]Meimei Zheng, Hao Zhou, Peng Jiang, Ershun Pan, Shi Tao Zhao, Kan Wu:
Supplier selection problem for multiple projects with uncertain demand and project life cycles. Comput. Oper. Res. 132: 105312 (2021) - [j106]Yi-Chung Hu, Peng Jiang, Hang Jiang, Jung-Fa Tsai:
Bankruptcy prediction using multivariate grey prediction models. Grey Syst. Theory Appl. 11(1): 46-62 (2021) - [j105]Peng Jiang, Wenbao Wang, Yi-Chung Hu, Yu-Jing Chiu, Shu-Ju Tsao:
Pattern classification using tolerance rough sets based on non-additive grey relational analysis and DEMATEL. Grey Syst. Theory Appl. 11(1): 166-182 (2021) - [j104]Peng Jiang, Yibin Huang, Xiao Liu:
Intermittent demand forecasting for spare parts in the heavy-duty vehicle industry: a support vector machine model. Int. J. Prod. Res. 59(24): 7423-7440 (2021) - [j103]Peng Jiang, Baoqi Qiu, Liehuang Zhu, Keke Gai:
SearchBC: A Blockchain-Based PEKS Framework for IoT Services. IEEE Internet Things J. 8(6): 5031-5044 (2021) - [j102]