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Publication search results
found 34 matches
- 2024
- Yan Li, Chaonan Du, Sikai Ge, Ruonan Zhang, Yiming Shao, Keyu Chen, Zhepeng Li, Fei Ma:
Hematoma expansion prediction based on SMOTE and XGBoost algorithm. BMC Medical Informatics Decis. Mak. 24(1): 172 (2024) - Benjamin Kiefer, Lojze Zust, Matej Kristan, Janez Pers, Matija Tersek, Arnold Wiliem, Martin Messmer, Cheng-Yen Yang, Hsiang-Wei Huang, Zhongyu Jiang, Heng-Cheng Kuo, Jie Mei, Jenq-Neng Hwang, Daniel Stadler, Lars Sommer, Kaer Huang, Aiguo Zheng, Weitu Chong, Kanokphan Lertniphonphan, Jun Xie, Feng Chen, Jian Li, Zhepeng Wang, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Tuan-Anh Vu, Hai Nguyen-Truong, Tan-Sang Ha, Quan-Dung Pham, Sai-Kit Yeung, Yuan Feng, Nguyen Thanh Thien, Lixin Tian, Sheng-Yao Kuan, Yuan-Hao Ho, Ángel Bueno Rodríguez, Borja Carrillo-Perez, Alexander Klein, Antje Alex, Yannik Steiniger, Felix Sattler, Edgardo Solano-Carrillo, Matej Fabijanic, Magdalena Sumunec, Nadir Kapetanovic, Andreas Michel, Wolfgang Gross, Martin Weinmann:
2nd Workshop on Maritime Computer Vision (MaCVi) 2024: Challenge Results. WACV (Workshops) 2024: 869-891 - 2023
- Shaolun Ruan
, Ribo Yuan, Qiang Guan
, Yanna Lin
, Ying Mao
, Weiwen Jiang
, Zhepeng Wang
, Wei Xu
, Yong Wang
:
VENUS: A Geometrical Representation for Quantum State Visualization. Comput. Graph. Forum 42(3): 247-258 (2023) - Hongyan Xu, Hongtao Liu, Zhepeng Lv, Qing Yang, Wenjun Wang:
Pre-trained Personalized Review Summarization with Effective Salience Estimation. ACL (Findings) 2023: 10743-10754 - Xuanyu Zhang, Zhepeng Lv, Qing Yang:
Adaptive Attention for Sparse-based Long-sequence Transformer. ACL (Findings) 2023: 8602-8610 - Hongyan Xu
, Hongtao Liu
, Zhepeng Lv
, Qing Yang
, Wenjun Wang
:
Sentiment-aware Review Summarization with Personalized Multi-task Fine-tuning. CIKM 2023: 2826-2835 - Zhepeng Huang, Long Yuan, Haofei Sui, Zi Chen
, Shiyu Yang, Jianye Yang:
Edge Coloring on Dynamic Graphs. DASFAA (3) 2023: 137-153 - Guangyuan Ma, Hongtao Liu, Xing Wu, Wanhui Qian, Zhepeng Lv, Qing Yang, Songlin Hu:
PUNR: Pre-training with User Behavior Modeling for News Recommendation. EMNLP (Findings) 2023: 8338-8347 - Qiyao Peng, Hongtao Liu, Zhepeng Lv, Qing Yang, Wenjun Wang:
Contrastive Pre-training for Personalized Expert Finding. EMNLP (Findings) 2023: 15797-15806 - Matej Kristan, Jirí Matas, Martin Danelljan, Michael Felsberg, Hyung Jin Chang, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Zhongqun Zhang, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Christoph Mayer, Yushan Zhang, Lei Ke, Jie Zhao, Gustavo Fernández, Noor Al-Shakarji, Dong An, Michael Arens, Stefan Becker, Goutam Bhat, Sebastian Bullinger, Antoni B. Chan, Shijie Chang, Hanyuan Chen, Xin Chen, Yan Chen, Zhenyu Chen, Yangming Cheng, Yutao Cui, Chunyuan Deng, Jiahua Dong, Matteo Dunnhofer, Wei Feng, Jianlong Fu, Jie Gao, Ruize Han, Zeqi Hao, Jun-Yan He, Keji He, Zhenyu He, Xiantao Hu, Kaer Huang, Yuqing Huang, Yi Jiang, Ben Kang, Jin-Peng Lan, Hyungjun Lee, Chenyang Li, Jiahao Li, Ning Li, Wangkai Li, Xiaodi Li, Xin Li, Pengyu Liu, Yue Liu, Huchuan Lu, Bin Luo, Ping Luo, Yinchao Ma, Deshui Miao, Christian Micheloni, Kannappan Palaniappan, Hancheol Park, Matthieu Paul, Houwen Peng, Zekun Qian, Gani Rahmon, Norbert Scherer-Negenborn, Pengcheng Shao, Wooksu Shin, Elham Soltani Kazemi, Tianhui Song, Rainer Stiefelhagen, Rui Sun, Chuanming Tang, Zhangyong Tang, Imad Eddine Toubal, Jack Valmadre, Joost van de Weijer, Luc Van Gool, Jash Vira, Stéphane Vujasinovic, Cheng Wan, Jia Wan, Dong Wang, Fei Wang, Feifan Wang, He Wang, Limin Wang, Song Wang, Yaowei Wang, Zhepeng Wang, Gangshan Wu, Jiannan Wu, Qiangqiang Wu, Xiaojun Wu, Anqi Xiao, Jinxia Xie, Chenlong Xu, Min Xu, Tianyang Xu, Yuanyou Xu, Bin Yan, Dawei Yang, Ming-Hsuan Yang, Tianyu Yang, Yi Yang, Zongxin Yang, Xuanwu Yin, Fisher Yu, Hongyuan Yu, Qianjin Yu, Weichen Yu, Yongsheng Yuan, Zehuan Yuan, Jianlin Zhang, Lu Zhang, Tianzhu Zhang, Guodongfang Zhao, Shaochuan Zhao, Yaozong Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang, ChengAo Zong, Kunlong Zuo:
The First Visual Object Tracking Segmentation VOTS2023 Challenge Results. ICCV (Workshops) 2023: 1788-1810 - Guoxin Zhang, Jun Xie, Lin Liu, Zhepeng Wang, Kuihe Yang, Ziying Song:
URFormer: Unified Representation LiDAR-Camera 3D Object Detection with Transformer. PRCV (3) 2023: 401-413 - Shaolun Ruan, Ribo Yuan, Yong Wang, Yanna Lin, Ying Mao, Weiwen Jiang, Zhepeng Wang, Wei Xu, Qiang Guan:
VENUS: A Geometrical Representation for Quantum State Visualization. CoRR abs/2303.08366 (2023) - Guangyuan Ma, Hongtao Liu, Xing Wu, Wanhui Qian, Zhepeng Lv, Qing Yang, Songlin Hu
:
PUNR: Pre-training with User Behavior Modeling for News Recommendation. CoRR abs/2304.12633 (2023) - Benjamin Kiefer, Lojze Zust, Matej Kristan, Janez Pers, Matija Tersek, Arnold Wiliem, Martin Messmer, Cheng-Yen Yang, Hsiang-Wei Huang, Zhongyu Jiang, Heng-Cheng Kuo, Jie Mei, Jenq-Neng Hwang, Daniel Stadler, Lars Sommer, Kaer Huang, Aiguo Zheng, Weitu Chong, Kanokphan Lertniphonphan, Jun Xie, Feng Chen, Jian Li, Zhepeng Wang, Luca Zedda, Andrea Loddo, Cecilia Di Ruberto, Tuan-Anh Vu, Hai Nguyen-Truong, Tan-Sang Ha, Quan-Dung Pham, Sai-Kit Yeung, Yuan Feng, Nguyen Thanh Thien, Lixin Tian, Sheng-Yao Kuan, Yuan-Hao Ho, Ángel Bueno Rodríguez, Borja Carrillo-Perez, Alexander Klein, Antje Alex, Yannik Steiniger, Felix Sattler, Edgardo Solano-Carrillo, Matej Fabijanic, Magdalena Sumunec, Nadir Kapetanovic, Andreas Michel, Wolfgang Gross, Martin Weinmann:
The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024. CoRR abs/2311.14762 (2023) - 2022
- Hongtao Liu, Zhepeng Lv, Qing Yang, Dongliang Xu, Qiyao Peng:
Efficient Non-sampling Expert Finding. CIKM 2022: 4239-4243 - Hongtao Liu, Zhepeng Lv, Qing Yang, Dongliang Xu, Qiyao Peng:
ExpertBert: Pretraining Expert Finding. CIKM 2022: 4244-4248 - Zhirui Hu, Peiyan Dong, Zhepeng Wang, Youzuo Lin, Yanzhi Wang, Weiwen Jiang:
Quantum Neural Network Compression. ICCAD 2022: 140:1-140:9 - Yawen Wu, Dewen Zeng, Zhepeng Wang, Yi Sheng, Lei Yang, Alaina J. James, Yiyu Shi, Jingtong Hu:
Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning. CoRR abs/2202.07470 (2022) - Zhirui Hu, Peiyan Dong, Zhepeng Wang, Youzuo Lin, Yanzhi Wang, Weiwen Jiang:
Quantum Neural Network Compression. CoRR abs/2207.01578 (2022) - Yawen Wu, Dewen Zeng, Zhepeng Wang, Yi Sheng, Lei Yang, Alaina J. James, Yiyu Shi, Jingtong Hu:
Federated Self-Supervised Contrastive Learning and Masked Autoencoder for Dermatological Disease Diagnosis. CoRR abs/2208.11278 (2022) - 2021
- Zhiding Liang
, Zhepeng Wang, Junhuan Yang, Lei Yang, Yiyu Shi, Weiwen Jiang:
Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow (Invited Paper). ICCAD 2021: 1-7 - Hongwu Peng
, Shiyang Chen
, Zhepeng Wang, Junhuan Yang, Scott A. Weitze, Tong Geng, Ang Li, Jinbo Bi, Minghu Song, Weiwen Jiang, Hang Liu, Caiwen Ding:
Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search (Special Session Paper). ICCAD 2021: 1-7 - Yawen Wu, Dewen Zeng, Zhepeng Wang, Yi Sheng, Lei Yang, Alaina J. James, Yiyu Shi, Jingtong Hu:
Federated Contrastive Learning for Dermatological Disease Diagnosis via On-device Learning (Invited Paper). ICCAD 2021: 1-7 - Zhiding Liang, Zhepeng Wang, Junhuan Yang, Lei Yang, Jinjun Xiong, Yiyu Shi, Weiwen Jiang:
Can Noise on Qubits Be Learned in Quantum Neural Network? A Case Study on QuantumFlow. CoRR abs/2109.03430 (2021) - Hongwu Peng, Shiyang Chen, Zhepeng Wang, Junhuan Yang, Scott A. Weitze, Tong Geng, Ang Li, Jinbo Bi, Minghu Song, Weiwen Jiang, Hang Liu, Caiwen Ding:
Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search. CoRR abs/2109.06355 (2021) - 2018
- Bart Samwel, John Cieslewicz
, Ben Handy, Jason Govig, Petros Venetis, Chanjun Yang, Keith Peters, Jeff Shute, Daniel Tenedorio, Himani Apte, Felix Weigel, David Wilhite, Jiacheng Yang, Jun Xu, Jiexing Li, Zhan Yuan, Craig Chasseur, Qiang Zeng, Ian Rae, Anurag Biyani, Andrew Harn, Yang Xia, Andrey Gubichev, Amr El-Helw, Orri Erling, Zhepeng Yan, Mohan Yang, Yiqun Wei, Thanh Do, Colin Zheng, Goetz Graefe, Somayeh Sardashti, Ahmed M. Aly, Divy Agrawal, Ashish Gupta, Shivakumar Venkataraman:
F1 Query: Declarative Querying at Scale. Proc. VLDB Endow. 11(12): 1835-1848 (2018) - 2017
- Zhepeng Yu, Ziyu Chen, Jingyuan He, Yancheng Deng:
A Partial Decision Scheme for Local Search Algorithms for Distributed Constraint Optimization Problems. AAMAS 2017: 187-194 - 2016
- Zhepeng Yan, Val Tannen, Zachary G. Ives:
Fine-grained Provenance for Linear Algebra Operators. TaPP 2016 - 2015
- Zhepeng Yan, Nan Zheng, Zachary G. Ives, Partha Pratim Talukdar, Cong Yu:
Active learning in keyword search-based data integration. VLDB J. 24(5): 611-631 (2015) - Zachary G. Ives, Zhepeng Yan, Nan Zheng, Brian Litt, Joost B. Wagenaar:
Looking at Everything in Context. CIDR 2015
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