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RenGang Li
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2020 – today
- 2025
- [j13]Guoqing Li, Rengang Li, Tuo Li, Chaoyao Shen, Xiaofeng Zou, Jiuyang Wang, Changhong Wang, Nanjun Li:
SFP: Similarity-based filter pruning for deep neural networks. Inf. Sci. 689: 121418 (2025) - 2024
- [j12]Zhi-Yong Qiu, Zhenhua Guo, Yao-Lin Jiang, Yaqian Zhao, RenGang Li:
Hermite Expansion Technique for Model Reduction of Circuit Systems with Delay Components. Circuits Syst. Signal Process. 43(9): 5487-5506 (2024) - [j11]Zhenhua Guo, Qi Jia, Baoyu Fan, Di Wang, Cong Xu, Yanwei Wang, Yaqian Zhao, Rengang Li:
MVIndEmo: a dataset for micro video public-induced emotion prediction on social media. Multim. Syst. 30(1): 58 (2024) - [j10]Xiaochuan Li, Baoyu Fan, Runze Zhang, Kun Zhao, Zhenhua Guo, Yaqian Zhao, Rengang Li:
Inexactly Matched Referring Expression Comprehension With Rationale. IEEE Trans. Multim. 26: 3937-3950 (2024) - [j9]Zhenhua Guo, Yinan Tang, Jidong Zhai, Tongtong Yuan, Jian Jin, Li Wang, Yaqian Zhao, Rengang Li:
A Survey on Performance Modeling and Prediction for Distributed DNN Training. IEEE Trans. Parallel Distributed Syst. 35(12): 2463-2478 (2024) - [j8]Qi Deng, Ruyang Li, Qifu Hu, Yaqian Zhao, Rengang Li:
Context-Aware Meta-RL With Two-Stage Constrained Adaptation for Urban Driving. IEEE Trans. Veh. Technol. 73(2): 1567-1581 (2024) - [c36]Xiaochuan Li, Baoyu Fan, Runze Zhang, Liang Jin, Di Wang, Zhenhua Guo, Yaqian Zhao, Rengang Li:
Image Content Generation with Causal Reasoning. AAAI 2024: 13646-13654 - [c35]Yinan Tang, Tongtong Yuan, Fang Cao, Li Wang, Zhenhua Guo, Yaqian Zhao, Rengang Li:
Simulating LLM Training in CXL-Based Heterogeneous Computing Cluster. INFOCOM (Workshops) 2024: 1-6 - [c34]Qi Deng, Yaqian Zhao, Rengang Li, Qifu Hu, Tengfei Zhang, Heng Zhang, Ruyang Li:
A Pseudo-Hierarchical Planning Framework with Dynamic-Aware Reinforcement Learning for Autonomous Driving. IV 2024: 2345-2352 - [i7]Qi Jia, Baoyu Fan, Cong Xu, Lu Liu, Liang Jin, Guoguang Du, Zhenhua Guo, Yaqian Zhao, Xuanjing Huang, Rengang Li:
Infer Induced Sentiment of Comment Response to Video: A New Task, Dataset and Baseline. CoRR abs/2407.06115 (2024) - 2023
- [j7]Wenfeng Yin, Gang Dong, Yaqian Zhao, Rengang Li:
Coresets based asynchronous network slimming. Appl. Intell. 53(10): 12387-12398 (2023) - [j6]Wenfeng Yin, Gang Dong, Yaqian Zhao, Rengang Li:
Correction to: Coresets based asynchronous network slimming. Appl. Intell. 53(12): 16346 (2023) - [j5]Yaqiang Zhang, Ruyang Li, Yaqian Zhao, Rengang Li, Yanwei Wang, Zhangbing Zhou:
Multi-agent deep reinforcement learning for online request scheduling in edge cooperation networks. Future Gener. Comput. Syst. 141: 258-268 (2023) - [j4]Binqiang Wang, Gang Dong, Yaqian Zhao, Rengang Li, Qichun Cao, Kekun Hu, Dongdong Jiang:
Hierarchically stacked graph convolution for emotion recognition in conversation. Knowl. Based Syst. 263: 110285 (2023) - [j3]JinZhe Jiang, Yaqian Zhao, Rengang Li, Chen Li, Zhenhua Guo, Baoyu Fan, Xuelei Li, Ruyang Li, Xin Zhang:
Strong generalization in quantum neural networks. Quantum Inf. Process. 22(12): 428 (2023) - [c33]Xuelei Li, Ruyang Li, Bing Bai, Yaqian Zhao, Guangqing Liu, Rengang Li:
Outsourcing the Computation of Plaintext Encryption for Homomorphic Encryption. ICCCS 2023: 408-413 - [c32]Qi Deng, Guangqing Liu, Ruyang Li, Qifu Hu, Yaqian Zhao, Rengang Li:
End-to-End Urban Autonomous Navigation with Decision Hindsight. ICONIP (15) 2023: 67-83 - [c31]Linruize Tang, Min Zhao, Shuaikai Shi, Jie Chen, Jinwei Li, Qiang Li, Rengang Li:
Tobacco Impurities Detection with Deep Image Segmentation Method on Hyperspectral Imaging. ICSPCC 2023: 1-5 - [c30]Yanwei Wang, Bingbing Li, Lu Lu, Jiangwei Wang, Rengang Li, Hongwei Kan:
Hardware-Software Co-design for Deep Neural Network Acceleration. ICSS 2023: 221-230 - [c29]Qifu Hu, Ruyang Li, Qi Deng, Yaqian Zhao, Rengang Li:
Enhancing Network by Reinforcement Learning and Neural Confined Local Search. IJCAI 2023: 2122-2132 - [c28]Qi Deng, Yaqian Zhao, Rengang Li, Qifu Hu, Tiejun Liu, Ruyang Li:
Context - Enhanced Meta-Reinforcement Learning with Data-Reused Adaptation for Urban Autonomous Driving. IJCNN 2023: 1-8 - [i6]Binqiang Wang, Gang Dong, Yaqian Zhao, Rengang Li, Lu Cao, Lihua Lu:
SGED: A Benchmark dataset for Performance Evaluation of Spiking Gesture Emotion Recognition. CoRR abs/2304.14714 (2023) - [i5]Jinglin Zhan, Tiejun Liu, Rengang Li, Jingwei Zhang, Zhaoxiang Zhang, Yuntao Chen:
Real-Aug: Realistic Scene Synthesis for LiDAR Augmentation in 3D Object Detection. CoRR abs/2305.12853 (2023) - [i4]Xiaochuan Li, Baoyu Fan, Runze Zhang, Liang Jin, Di Wang, Zhenhua Guo, Yaqian Zhao, Rengang Li:
Image Content Generation with Causal Reasoning. CoRR abs/2312.07132 (2023) - 2022
- [j2]Kekun Hu, Gang Dong, Yaqian Zhao, Rengang Li, Dongdong Jiang, Yinyin Chao, Haiwei Liu, Yuan Ge:
Dual graph wavelet neural network for graph-based semi-supervised classification. J. Intell. Fuzzy Syst. 42(6): 5177-5188 (2022) - [c27]Binqiang Wang, Gang Dong, Yaqian Zhao, Rengang Li, Hongbin Yang, Wenfeng Yin, Lingyan Liang:
Spiking Emotions: Dynamic Vision Emotion Recognition Using Spiking Neural Networks. AHPCAI 2022: 50-58 - [c26]Zhi-Yong Qiu, Zhenhua Guo, Li Wang, Yaqian Zhao, Rengang Li:
Layer-wise based Adabelief Optimization Algorithm for Deep Learning. AISS 2022: 57:1-57:6 - [c25]Andrés Romero, Angela Castillo, Jose Abril-Nova, Radu Timofte, Ritwik Das, Sanchit Hira, Zhihong Pan, Min Zhang, Baopu Li, Dongliang He, Tianwei Lin, Fu Li, Chengyue Wu, Xianming Liu, Xinying Wang, Yi Yu, Jie Yang, Rengang Li, Yaqian Zhao, Zhenhua Guo, Baoyu Fan, Xiaochuan Li, Runze Zhang, Zeyu Lu, Junqin Huang, Gang Wu, Junjun Jiang, Jiayin Cai, Changlin Li, Xin Tao, Yu-Wing Tai, Xiaoqiang Zhou, Huaibo Huang:
NTIRE 2022 Image Inpainting Challenge: Report. CVPR Workshops 2022: 1149-1181 - [c24]Chen Li, JinZhe Jiang, Xin Zhang, Tonghuan Zhang, Yaqian Zhao, Dongdong Jiang, Rengang Li:
Towards Interpreting Computer Vision Based on Transformation Invariant Optimization. ECCV Workshops (6) 2022: 371-382 - [c23]Lihua Lu, Ruyang Li, Hui Wei, Yaqian Zhao, Rengang Li, Binqiang Wang:
Point Cloud Completion with Difference-Aware Point Voting. ICONIP (6) 2022: 64-75 - [c22]Binqiang Wang, Gang Dong, Yaqian Zhao, Rengang Li:
Learning from Fourier: Leveraging Frequency Transformation for Emotion Recognition. ICONIP (2) 2022: 403-413 - [c21]Lihua Lu, Ruyang Li, Hui Wei, Yaqian Zhao, Rengang Li:
Context-Based Point Generation Network for Point Cloud Completion. ICONIP (1) 2022: 443-454 - [c20]Yaqiang Zhang, Rengang Li, Yaqian Zhao, Ruyang Li:
Deep Reinforcement Learning based Mobility-Aware Service Migration for Multi-access Edge Computing Environment. ISCC 2022: 1-6 - [c19]Yaqiang Zhang, Ruyang Li, Yaqian Zhao, Rengang Li, Xuelei Li, Tuo Li:
Online Decentralized Task Allocation Optimization for Edge Collaborative Networks. ISCC 2022: 1-6 - [c18]Silvio Giancola, Anthony Cioppa, Adrien Deliège, Floriane Magera, Vladimir Somers, Le Kang, Xin Zhou, Olivier Barnich, Christophe De Vleeschouwer, Alexandre Alahi, Bernard Ghanem, Marc Van Droogenbroeck, Abdulrahman Darwish, Adrien Maglo, Albert Clapés, Andreas Luyts, Andrei Boiarov, Artur Xarles, Astrid Orcesi, Avijit Shah, Baoyu Fan, Bharath Comandur, Chen Chen, Chen Zhang, Chen Zhao, Chengzhi Lin, Cheuk-Yiu Chan, Chun Chuen Hui, Dengjie Li, Fan Yang, Fan Liang, Fang Da, Feng Yan, Fufu Yu, Guanshuo Wang, H. Anthony Chan, He Zhu, Hongwei Kan, Jiaming Chu, Jianming Hu, Jianyang Gu, Jin Chen, João V. B. Soares, Jonas Theiner, Jorge De Corte, José Henrique Brito, Jun Zhang, Junjie Li, Junwei Liang, Leqi Shen, Lin Ma, Lingchi Chen, Miguel Santos Marques, Mike Azatov, Nikita Kasatkin, Ning Wang, Qiong Jia, Quoc-Cuong Pham, Ralph Ewerth, Ran Song, Rengang Li, Rikke Gade, Ruben Debien, Runze Zhang, Sangrok Lee, Sergio Escalera, Shan Jiang, Shigeyuki Odashima, Shimin Chen, Shoichi Masui, Shouhong Ding, Sin-wai Chan, Siyu Chen, Tallal El Shabrawy, Tao He, Thomas B. Moeslund, Wan-Chi Siu, Wei Zhang, Wei Li, Xiangwei Wang, Xiao Tan, Xiaochuan Li, Xiaolin Wei, Xiaoqing Ye, Xing Liu, Xinying Wang, Yandong Guo, Yaqian Zhao, Yi Yu, Yingying Li, Yue He, Yujie Zhong, Zhenhua Guo, Zhiheng Li:
SoccerNet 2022 Challenges Results. MMSports@MM 2022: 75-86 - [c17]Rengang Li, Baoyu Fan, Xiaochuan Li, Runze Zhang, Zhenhua Guo, Kun Zhao, Yaqian Zhao, Weifeng Gong, Endong Wang:
Towards Further Comprehension on Referring Expression with Rationale. ACM Multimedia 2022: 4336-4344 - [c16]Rengang Li, Cong Xu, Zhenhua Guo, Baoyu Fan, Runze Zhang, Wei Liu, Yaqian Zhao, Weifeng Gong, Endong Wang:
AI-VQA: Visual Question Answering based on Agent Interaction with Interpretability. ACM Multimedia 2022: 5274-5282 - [c15]Binqiang Wang, Gang Dong, Yaqian Zhao, Rengang Li, Qichun Cao, Yinyin Chao:
Non-Uniform Attention Network for Multi-modal Sentiment Analysis. MMM (1) 2022: 612-623 - [c14]Liang Jin, Xiaochuan Li, Baoyu Fan, Zhenhua Guo, Ruidong Li, Li Wang, Yanwei Wang, Yaqian Zhao, Rengang Li:
A Multi-object Detection Sampling Algorithm For Large Scenes. PAAP 2022: 1-6 - [i3]Silvio Giancola, Anthony Cioppa, Adrien Deliège, Floriane Magera, Vladimir Somers, Le Kang, Xin Zhou, Olivier Barnich, Christophe De Vleeschouwer, Alexandre Alahi, Bernard Ghanem, Marc Van Droogenbroeck, Abdulrahman Darwish, Adrien Maglo, Albert Clapés, Andreas Luyts, Andrei Boiarov, Artur Xarles, Astrid Orcesi, Avijit Shah, Baoyu Fan, Bharath Comandur, Chen Chen, Chen Zhang, Chen Zhao, Chengzhi Lin, Cheuk-Yiu Chan, Chun Chuen Hui, Dengjie Li, Fan Yang, Fan Liang, Fang Da, Feng Yan, Fufu Yu, Guanshuo Wang, H. Anthony Chan, He Zhu, Hongwei Kan, Jiaming Chu, Jianming Hu, Jianyang Gu, Jin Chen, João V. B. Soares, Jonas Theiner, Jorge De Corte, José Henrique Brito, Jun Zhang, Junjie Li, Junwei Liang, Leqi Shen, Lin Ma, Lingchi Chen, Miguel Santos Marques, Mike Azatov, Nikita Kasatkin, Ning Wang, Qiong Jia, Quoc-Cuong Pham, Ralph Ewerth, Ran Song, Rengang Li, Rikke Gade, Ruben Debien, Runze Zhang, Sangrok Lee, Sergio Escalera, Shan Jiang, Shigeyuki Odashima, Shimin Chen, Shoichi Masui, Shouhong Ding, Sin-wai Chan, Siyu Chen, Tallal El Shabrawy, Tao He, Thomas B. Moeslund, Wan-Chi Siu, Wei Zhang, Wei Li, Xiangwei Wang, Xiao Tan, Xiaochuan Li, Xiaolin Wei, Xiaoqing Ye, Xing Liu, Xinying Wang, Yandong Guo, Yaqian Zhao, Yi Yu, Yingying Li, Yue He, Yujie Zhong, Zhenhua Guo, Zhiheng Li:
SoccerNet 2022 Challenges Results. CoRR abs/2210.02365 (2022) - 2021
- [j1]Xuelei Li, Rengang Li, Yaqian Zhao, Jian Zhao:
An improved model training method for residual convolutional neural networks in deep learning. Multim. Tools Appl. 80(5): 6811-6821 (2021) - [c13]Rengang Li, Dongdong Su, Hongwei Kan:
A fast, scalable, and energy-efficient edge acceleration architecture based on FPGA cluster. CoNEXT 2021: 479-480 - [c12]Xiaofeng Zou, Tuo Li, Rengang Li, Linlin Yang, Xiankun Wang, Changhong Wang:
Porting and FPGA Implementation of LXDE Desktop Environment Based on RISC-V. CSAE 2021: 76:1-76:5 - [c11]Kefeng Zhu, Peilin Tong, Hongwei Kan, Rengang Li:
You Get What You Sow: High Fidelity Image Synthesis with a Single Pretrained Network. IJCAI 2021: 3477-3483 - [c10]Wenfeng Yin, Gang Dong, Yaqian Zhao, Rengang Li:
Coresets Application in Channel Pruning for Fast Neural Network Slimming. IJCNN 2021: 1-8 - [c9]Yaqiang Zhang, Rengang Li, Yaqian Zhao, Ruyang Li:
A Request Scheduling Optimization Mechanism Based on Deep Q-Learning in Edge Computing Environments. INFOCOM Workshops 2021: 1-2 - [c8]Li Wang, Baoyu Fan, Zhenhua Guo, Yaqian Zhao, Runze Zhang, Rengang Li, Weifeng Gong, Endong Wang:
Knowledge-Supervised Learning: Knowledge Consensus Constraints for Person Re-Identification. ACM Multimedia 2021: 1866-1874 - [c7]Yaqiang Zhang, Ruyang Li, Zhangbing Zhou, Yaqian Zhao, Rengang Li:
Deep Reinforcement Learning for DAG-based Concurrent Requests Scheduling in Edge Networks. WASA (3) 2021: 359-366 - [i2]Chen Li, JinZhe Jiang, Yaqian Zhao, RenGang Li, Endong Wang, Xin Zhang, Kun Zhao:
Genetic Algorithm based hyper-parameters optimization for transfer Convolutional Neural Network. CoRR abs/2103.03875 (2021) - [i1]Chen Li, JinZhe Jiang, Xin Zhang, Tonghuan Zhang, Yaqian Zhao, Dongdong Jiang, RenGang Li:
Towards interpreting computer vision based on transformation invariant optimization. CoRR abs/2106.09982 (2021) - 2020
- [c6]Li Wang, Baoyu Fan, Zhenhua Guo, Yaqian Zhao, Runze Zhang, Rengang Li, Weifeng Gong:
Dense-Scale Feature Learning in Person Re-identification. ACCV (6) 2020: 341-357 - [c5]Rengang Li, Hongwei Kan, Dongdong Su, Yanwei Wang, Hongbo Zhao, Peilin Tong:
An Optimal Design Method of Conv2d Operator for TensorFlow Based on FPGA Accelerator. CSAE 2020: 9:1-9:6 - [c4]Guoqiang Mei, Rui Hao, Jiangwei Wang, Hongwei Kan, Rengang Li:
A FPGA based intra-parallel architecture for PageRank graph processing. EDGE 2020: 31-38 - [c3]Baoyu Fan, Li Wang, Runze Zhang, Zhenhua Guo, Yaqian Zhao, Rengang Li, Weifeng Gong:
Contextual Multi-Scale Feature Learning for Person Re-Identification. ACM Multimedia 2020: 655-663
2010 – 2019
- 2019
- [c2]Hui Wei, Yaqian Zhao, Rengang Li:
The Study of Three Level Parallelisms in Ray Tracing Algorithm. CSSE 2019: 102-107 - [c1]Xin Zhang, Yaqian Zhao, RenGang Li, Xuelei Li, Zhenhua Guo, XiaoMin Zhu, Gang Dong:
The Quantum Shor Algorithm Simulated on FPGA. ISPA/BDCloud/SocialCom/SustainCom 2019: 542-546
Coauthor Index
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last updated on 2024-11-11 22:27 CET by the dblp team
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