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Chengjian Zheng
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2020 – today
- 2024
- [c9]Weiran Wang, Rohit Prabhavalkar, Haozhe Shan, Zhong Meng, Dongseong Hwang, Qiujia Li, Khe Chai Sim, Bo Li, James Qin, Xingyu Cai, Adam Stooke, Chengjian Zheng, Yanzhang He, Tara N. Sainath, Pedro Moreno Mengibar:
Massive End-to-end Speech Recognition Models with Time Reduction. NAACL-HLT 2024: 6206-6217 - [i8]Marcos V. Conde, Zhijun Lei, Wen Li, Cosmin Stejerean, Ioannis Katsavounidis, Radu Timofte, Kihwan Yoon, Ganzorig Gankhuyag, Jiangtao Lv, Long Sun, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Zhiyuan Li, Hao Wei, Chenyang Ge, Dongyang Zhang, Tianle Liu, Huaian Chen, Yi Jin, Menghan Zhou, Yiqiang Yan, Si Gao, Biao Wu, Shaoli Liu, Chengjian Zheng, Diankai Zhang, Ning Wang, Xintao Qiu, Yuanbo Zhou, Kongxian Wu, Xinwei Dai, Hui Tang, Wei Deng, Qingquan Gao, Tong Tong, Jae-Hyeon Lee, Ui-Jin Choi, Min Yan, Xin Liu, Qian Wang, Xiaoqian Ye, Zhan Du, Tiansen Zhang, Long Peng, Jiaming Guo, Xin Di, Bohao Liao, Zhibo Du, Peize Xia, Renjing Pei, Yang Wang, Yang Cao, Zhengjun Zha, Bingnan Han, Hongyuan Yu, Zhuoyuan Wu, Cheng Wan, Yuqing Liu, Haodong Yu, Jizhe Li, Zhijuan Huang, Yuan Huang, Yajun Zou, Xianyu Guan, Qi Jia, Heng Zhang, Xuanwu Yin, Kunlong Zuo, Hyeon-Cheol Moon, Tae Hyun Jeong, Yoonmo Yang, Jae-Gon Kim, Jinwoo Jeong, Sunjei Kim:
Real-Time 4K Super-Resolution of Compressed AVIF Images. AIS 2024 Challenge Survey. CoRR abs/2404.16484 (2024) - [i7]Biao Wu, Diankai Zhang, Si Gao, Chengjian Zheng, Shaoli Liu, Ning Wang:
2nd Place Solution for PVUW Challenge 2024: Video Panoptic Segmentation. CoRR abs/2406.00500 (2024) - [i6]Biao Wu, Diankai Zhang, Si Gao, Chengjian Zheng, Shaoli Liu, Ning Wang:
Semi-supervised Video Semantic Segmentation Using Unreliable Pseudo Labels for PVUW2024. CoRR abs/2406.00587 (2024) - [i5]Oleg Rybakov, Dmitriy Serdyuk, Chengjian Zheng:
USM RNN-T model weights binarization. CoRR abs/2406.02887 (2024) - 2023
- [c8]Yongqiang Wang, Zhehuai Chen, Chengjian Zheng, Yu Zhang, Wei Han, Parisa Haghani:
Accelerating RNN-T Training and Inference Using CTC Guidance. ICASSP 2023: 1-5 - 2022
- [c7]Ren Yang
, Radu Timofte
NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results. CVPR Workshops 2022: 1220-1237 - [c6]Andrey Ignatov, Radu Timofte
Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report. ECCV Workshops (3) 2022: 130-152 - [c5]Si Gao
RCBSR: Re-parameterization Convolution Block for Super-Resolution. ECCV Workshops (2) 2022: 540-548 - [i4]Ren Yang, Radu Timofte, Meisong Zheng, Qunliang Xing, Minglang Qiao, Mai Xu, Lai Jiang, Huaida Liu, Ying Chen, Youcheng Ben, Xiao Zhou, Chen Fu, Pei Cheng, Gang Yu
NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results. CoRR abs/2204.09314 (2022) - [i3]Yongqiang Wang, Zhehuai Chen, Chengjian Zheng, Yu Zhang, Wei Han, Parisa Haghani:
Accelerating RNN-T Training and Inference Using CTC guidance. CoRR abs/2210.16481 (2022) - [i2]Andrey Ignatov, Radu Timofte, Cheng-Ming Chiang, Hsien-Kai Kuo, Yu-Syuan Xu, Man-Yu Lee, Allen Lu, Chia-Ming Cheng, Chih-Cheng Chen, Jia-Ying Yong, Hong-Han Shuai, Wen-Huang Cheng, Zhuang Jia, Tianyu Xu, Yijian Zhang, Long Bao, Heng Sun, Diankai Zhang, Si Gao, Shaoli Liu, Biao Wu, Xiaofeng Zhang, Chengjian Zheng, Kaidi Lu, Ning Wang, Xiao Sun, Haodong Wu, Xuncheng Liu, Weizhan Zhang, Caixia Yan, Haipeng Du, Qinghua Zheng, Qi Wang, Wangdu Chen, Ran Duan, Ran Duan, Mengdi Sun, Dan Zhu, Guannan Chen, Hojin Cho, Steve Kim, Shijie Yue, Chenghua Li, Zhengyang Zhuge, Wei Chen, Wenxu Wang, Yufeng Zhou, Xiaochen Cai, Hengxing Cai, Kele Xu, Li Liu, Zehua Cheng, Wenyi Lian, Wenjing Lian:
Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 challenge: Report. CoRR abs/2211.05256 (2022) - 2021
- [c4]Shaoli Liu, Chengjian Zheng, Kaidi Lu, Gao Si, Ning Wang, Bofei Wang, Diankai Zhang, Xiaofeng Zhang, Tianyu Xu:
EVSRNet: Efficient Video Super-Resolution With Neural Architecture Search. CVPR Workshops 2021: 2480-2485 - [i1]Andrey Ignatov, Andrés Romero, Heewon Kim, Radu Timofte, Chiu Man Ho, Zibo Meng, Kyoung Mu Lee, Yuxiang Chen, Yutong Wang, Zeyu Long, Chenhao Wang, Yifei Chen, Boshen Xu, Shuhang Gu, Lixin Duan, Wen Li, Bofei Wang, Diankai Zhang, Chengjian Zheng, Shaoli Liu, Si Gao, Xiaofeng Zhang, Kaidi Lu, Tianyu Xu, Zheng Hui, Xinbo Gao, Xiumei Wang, Jiaming Guo, Xueyi Zhou, Hao Jia, Youliang Yan:
Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report. CoRR abs/2105.08826 (2021)
2010 – 2019
- 2017
- [c3]Chengjian Zheng, John T. Wen
Modeling and cooling rate control in laser additive manufacturing: 1-D PDE formulation. CDC 2017: 5020-5025 - 2016
- [c2]Chengjian Zheng, Yixuan Tan, John T. Wen
Material grain growth consensus control: A multi-zone heating approach applied on a Monte-Carlo model. ACC 2016: 3255-3260 - 2015
- [c1]Chengjian Zheng, Yixuan Tan, John T. Wen
Finite element model based temperature consensus control for material microstructure. ACC 2015: 619-624
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