Jiexiang Wang

32 papers A* 2Journal 26Unranked 4
YearRankTypeTitle / Venue / Authors
2025 A* conf
LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization.
EMNLP
Qi Zhang, Shouqing Yang, Lirong Gao, Hao Chen, Xiaomeng Hu, Jinglei Chen, Jiexiang Wang, Sheng Guo, Bo Zheng, Haobo Wang, Junbo Zhao
2025 J jnl
LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization.
CoRR
Qi Zhang, Shouqing Yang, Lirong Gao, Hao Chen, Xiaomeng Hu, Jinglei Chen, Jiexiang Wang, Sheng Guo, Bo Zheng, Haobo Wang, Junbo Zhao
2024 J jnl
Imitate the Best or Imitate the Most? Complementors' Product Development Strategies Impacted by Platform Features.
IEEE Trans. Engineering Management
Shuang Liu, Jiexiang Wang, Shuang Hu, Ji Xia
2024 A* conf
Multimodal Prompt Perceiver: Empower Adaptiveness, Generalizability and Fidelity for All-in-One Image Restoration.
CVPR
Yuang Ai, Huaibo Huang, Xiaoqiang Zhou, Jiexiang Wang, Ran He
2024 J jnl
Simulation and assimilation of the digital human brain.
Nat. Comput. Sci.
Wenlian Lu, Xin Du, Jiexiang Wang, Longbin Zeng, Leijun Ye, Shitong Xiang, Qibao Zheng, Jie Zhang, Ningsheng Xu, Jianfeng Feng
2023 J jnl
Digital Twin Brain: a simulation and assimilation platform for whole human brain.
CoRR
Wenlian Lu, Longbin Zeng, Xin Du, Wenyong Zhang, Shitong Xiang, Huarui Wang, Jiexiang Wang, Mingda Ji, Yubo Hou, Minglong Wang, Yuhao Liu, Zhongyu Chen, Qibao Zheng, Ningsheng Xu, Jianfeng Feng
2023 J jnl
GraphSKT: Graph-Guided Structured Knowledge Transfer for Domain Adaptive Lesion Detection.
IEEE Trans. Medical Imaging
Chaoqi Chen, Jiexiang Wang, Junwen Pan, Cheng Bian, Zhicheng Zhang
2023 J jnl
Multimodal Prompt Perceiver: Empower Adaptiveness, Generalizability and Fidelity for All-in-One Image Restoration.
CoRR
Yuang Ai, Huaibo Huang, Xiaoqiang Zhou, Jiexiang Wang, Ran He
2023 — conf
Unsupervised Adaptation of Polyp Segmentation Models via Coarse-to-Fine Self-Supervision.
IPMI
Jiexiang Wang, Chaoqi Chen
2023 J jnl
Unsupervised Adaptation of Polyp Segmentation Models via Coarse-to-Fine Self-Supervision.
CoRR
Jiexiang Wang, Chaoqi Chen
2022 J jnl
Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge.
Medical Image Anal.
Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Víctor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li
2022 J jnl
Tell Me the Evidence? Dual Visual-Linguistic Interaction for Answer Grounding.
CoRR
Junwen Pan, Guanlin Chen, Yi Liu, Jiexiang Wang, Cheng Bian, Pengfei Zhu, Zhicheng Zhang
2022 J jnl
Understanding the boundary decision of digital platform enterprises.
Ind. Manag. Data Syst.
Shuzhen Lou, Jiexiang Wang, Ji Xia
2021 J jnl
Convergence of Distributed Gradient-Tracking-Based Optimization Algorithms with Random Graphs.
J. Syst. Sci. Complex.
Jiexiang Wang, Keli Fu, Yu Gu, Tao Li
2021 J jnl
Decentralized Cooperative Online Estimation With Random Observation Matrices, Communication Graphs and Time Delays.
IEEE Trans. Inf. Theory
Jiexiang Wang, Tao Li, Xiwei Zhang
2021 J jnl
Distributed Multi-Area State Estimation for Power Systems With Switching Communication Graphs.
IEEE Trans. Smart Grid
Jiexiang Wang, Tao Li
2020 J jnl
An Adversarial Learning Approach to Medical Image Synthesis for Lesion Detection.
IEEE J. Biomed. Health Informatics
Liyan Sun, Jiexiang Wang, Yue Huang, Xinghao Ding, Hayit Greenspan, John W. Paisley
2020 J jnl
Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge.
CoRR
Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Víctor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li
2020 J jnl
Closed or open platform? the nature of platform and a qualitative comparative analysis of the performance effect of platform openness.
Electron. Commer. Res. Appl.
Jiexiang Wang, Bin Guo, Xiaoyan Wang, Shuzhen Lou
2020 — conf
Distributed Parameter Estimation With Random Observation Matrices and Communication Graphs.
ECC
Jiexiang Wang, Tao Li, Xiwei Zhang
2020 J jnl
Multi-Task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification.
CoRR
Wenao Ma, Shuang Yu, Kai Ma, Jiexiang Wang, Xinghao Ding, Yefeng Zheng
2020 J jnl
The influence of executive compensation incentives on R&D investment: the moderating effect of executive overconfidence.
Technol. Anal. Strateg. Manag.
Xiaowei Lu, Ya Sheng, Jiexiang Wang
2020 J jnl
Uncertainty-aware domain alignment for anatomical structure segmentation.
Medical Image Anal.
Cheng Bian, Chenglang Yuan, Jiexiang Wang, Meng Li, Xin Yang, Shuang Yu, Kai Ma, Jin Yuan, Yefeng Zheng
2019 J jnl
Distributed Cooperative Online Estimation With Random Observation Matrices, Communication Graphs and Time-Delays.
CoRR
Jiexiang Wang, Tao Li
2019 J jnl
Game Theory Based Opportunistic Computation Offloading in Cloud-Enabled IoV.
IEEE Access
Minghui Liwang, Jiexiang Wang, Zhibin Gao, Xiaojiang Du, Mohsen Guizani
2019 — conf
Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network.
STACOM@MICCAI
Jiexiang Wang, Hongyu Huang, Chaoqi Chen, Wenao Ma, Yue Huang, Xinghao Ding
2019 J jnl
Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network.
CoRR
Jiexiang Wang, Hongyu Huang, Chaoqi Chen, Wenao Ma, Yue Huang, Xinghao Ding
2019 — conf
Multi-task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification.
MICCAI (1)
Wenao Ma, Shuang Yu, Kai Ma, Jiexiang Wang, Xinghao Ding, Yefeng Zheng
2019 J jnl
Uncertainty-Guided Domain Alignment for Layer Segmentation in OCT Images.
CoRR
Jiexiang Wang, Cheng Bian, Meng Li, Xin Yang, Kai Ma, Wenao Ma, Jin Yuan, Xinghao Ding, Yefeng Zheng
2018 J jnl
An Adversarial Learning Approach to Medical Image Synthesis for Lesion Removal.
CoRR
Liyan Sun, Jiexiang Wang, Xinghao Ding, Yue Huang, John W. Paisley
2018 J jnl
Distributed Averaging With Random Network Graphs and Noises.
IEEE Trans. Inf. Theory
Tao Li, Jiexiang Wang
2017 J jnl
Distributed Averaging With Random Network Graphs and Noises.
CoRR
Tao Li, Jiexiang Wang