RenGang Li

According to our database, RenGang Li authored at least 53 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

SFP: Similarity-based filter pruning for deep neural networks.

Guoqing Li, Rengang Li, Tuo Li, Chaoyao Shen, Xiaofeng Zou, Jiuyang Wang, Changhong Wang, Nanjun Li

Inf. Sci., 2025

2024

A Survey on Performance Modeling and Prediction for Distributed DNN Training.

Zhenhua Guo, Yinan Tang, Jidong Zhai, Tongtong Yuan, Jian Jin, Li Wang, Yaqian Zhao, Rengang Li

IEEE Trans. Parallel Distributed Syst., December, 2024

Hermite Expansion Technique for Model Reduction of Circuit Systems with Delay Components.

Zhi-Yong Qiu, Zhenhua Guo, Yao-Lin Jiang, Yaqian Zhao, RenGang Li

Circuits Syst. Signal Process., September, 2024

MVIndEmo: a dataset for micro video public-induced emotion prediction on social media.

Zhenhua Guo, Qi Jia, Baoyu Fan, Di Wang, Cong Xu, Yanwei Wang, Yaqian Zhao, Rengang Li

Multim. Syst., February, 2024

Context-Aware Meta-RL With Two-Stage Constrained Adaptation for Urban Driving.

Qi Deng, Ruyang Li, Qifu Hu, Yaqian Zhao, Rengang Li

IEEE Trans. Veh. Technol., 2024

Inexactly Matched Referring Expression Comprehension With Rationale.

Xiaochuan Li, Baoyu Fan, Runze Zhang, Kun Zhao, Zhenhua Guo, Yaqian Zhao, Rengang Li

IEEE Trans. Multim., 2024

Infer Induced Sentiment of Comment Response to Video: A New Task, Dataset and Baseline.

Qi Jia, Baoyu Fan, Cong Xu, Lu Liu, Liang Jin, Guoguang Du, Zhenhua Guo, Yaqian Zhao, Xuanjing Huang, Rengang Li

CoRR, 2024

A Pseudo-Hierarchical Planning Framework with Dynamic-Aware Reinforcement Learning for Autonomous Driving.

Qi Deng, Yaqian Zhao, Rengang Li, Qifu Hu, Tengfei Zhang, Heng Zhang, Ruyang Li

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Simulating LLM Training in CXL-Based Heterogeneous Computing Cluster.

Yinan Tang, Tongtong Yuan, Fang Cao, Li Wang, Zhenhua Guo, Yaqian Zhao, Rengang Li

Proceedings of the IEEE INFOCOM 2024, 2024

Image Content Generation with Causal Reasoning.

Xiaochuan Li, Baoyu Fan, Runze Zhang, Liang Jin, Di Wang, Zhenhua Guo, Yaqian Zhao, Rengang Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Strong generalization in quantum neural networks.

JinZhe Jiang, Yaqian Zhao, Rengang Li, Chen Li, Zhenhua Guo, Baoyu Fan, Xuelei Li, Ruyang Li, Xin Zhang

Quantum Inf. Process., December, 2023

Correction to: Coresets based asynchronous network slimming.

Wenfeng Yin, Gang Dong, Yaqian Zhao, Rengang Li

Appl. Intell., June, 2023

Coresets based asynchronous network slimming.

Wenfeng Yin, Gang Dong, Yaqian Zhao, Rengang Li

Appl. Intell., May, 2023

Multi-agent deep reinforcement learning for online request scheduling in edge cooperation networks.

Yaqiang Zhang, Ruyang Li, Yaqian Zhao, Rengang Li, Yanwei Wang, Zhangbing Zhou

Future Gener. Comput. Syst., April, 2023

Hierarchically stacked graph convolution for emotion recognition in conversation.

Binqiang Wang, Gang Dong, Yaqian Zhao, Rengang Li, Qichun Cao, Kekun Hu, Dongdong Jiang

Knowl. Based Syst., March, 2023

Real-Aug: Realistic Scene Synthesis for LiDAR Augmentation in 3D Object Detection.

Jinglin Zhan, Tiejun Liu, Rengang Li, Jingwei Zhang, Zhaoxiang Zhang, Yuntao Chen

CoRR, 2023

SGED: A Benchmark dataset for Performance Evaluation of Spiking Gesture Emotion Recognition.

Binqiang Wang, Gang Dong, Yaqian Zhao, Rengang Li, Lu Cao, Lihua Lu

CoRR, 2023

Context - Enhanced Meta-Reinforcement Learning with Data-Reused Adaptation for Urban Autonomous Driving.

Qi Deng, Yaqian Zhao, Rengang Li, Qifu Hu, Tiejun Liu, Ruyang Li

Proceedings of the International Joint Conference on Neural Networks, 2023

Enhancing Network by Reinforcement Learning and Neural Confined Local Search.

Qifu Hu, Ruyang Li, Qi Deng, Yaqian Zhao, Rengang Li

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Hardware-Software Co-design for Deep Neural Network Acceleration.

Yanwei Wang, Bingbing Li, Lu Lu, Jiangwei Wang, Rengang Li, Hongwei Kan

Proceedings of the Service Science - CCF 16th International Conference, 2023

Tobacco Impurities Detection with Deep Image Segmentation Method on Hyperspectral Imaging.

Linruize Tang, Min Zhao, Shuaikai Shi, Jie Chen, Jinwei Li, Qiang Li, Rengang Li

Proceedings of the IEEE International Conference on Signal Processing, 2023

End-to-End Urban Autonomous Navigation with Decision Hindsight.

Qi Deng, Guangqing Liu, Ruyang Li, Qifu Hu, Yaqian Zhao, Rengang Li

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Outsourcing the Computation of Plaintext Encryption for Homomorphic Encryption.

Xuelei Li, Ruyang Li, Bing Bai, Yaqian Zhao, Guangqing Liu, Rengang Li

Proceedings of the 8th International Conference on Computer and Communication Systems, 2023

2022

Dual graph wavelet neural network for graph-based semi-supervised classification.

Kekun Hu, Gang Dong, Yaqian Zhao, Rengang Li, Dongdong Jiang, Yinyin Chao, Haiwei Liu, Yuan Ge

J. Intell. Fuzzy Syst., 2022

A Multi-object Detection Sampling Algorithm For Large Scenes.

Liang Jin, Xiaochuan Li, Baoyu Fan, Zhenhua Guo, Ruidong Li, Li Wang, Yanwei Wang, Yaqian Zhao, Rengang Li

Proceedings of the 13th IEEE International Symposium on Parallel Architectures, 2022

Non-Uniform Attention Network for Multi-modal Sentiment Analysis.

Binqiang Wang, Gang Dong, Yaqian Zhao, Rengang Li, Qichun Cao, Yinyin Chao

Proceedings of the MultiMedia Modeling - 28th International Conference, 2022

AI-VQA: Visual Question Answering based on Agent Interaction with Interpretability.

Rengang Li, Cong Xu, Zhenhua Guo, Baoyu Fan, Runze Zhang, Wei Liu, Yaqian Zhao, Weifeng Gong, Endong Wang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Towards Further Comprehension on Referring Expression with Rationale.

Rengang Li, Baoyu Fan, Xiaochuan Li, Runze Zhang, Zhenhua Guo, Kun Zhao, Yaqian Zhao, Weifeng Gong, Endong Wang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

SoccerNet 2022 Challenges Results.

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

Proceedings of the MMSports@MM 2022: Proceedings of the 5th International ACM Workshop on Multimedia Content Analysis in Sports, 2022

Online Decentralized Task Allocation Optimization for Edge Collaborative Networks.

Yaqiang Zhang, Ruyang Li, Yaqian Zhao, Rengang Li, Xuelei Li, Tuo Li

Proceedings of the IEEE Symposium on Computers and Communications, 2022

Deep Reinforcement Learning based Mobility-Aware Service Migration for Multi-access Edge Computing Environment.

Yaqiang Zhang, Rengang Li, Yaqian Zhao, Ruyang Li

Proceedings of the IEEE Symposium on Computers and Communications, 2022

Learning from Fourier: Leveraging Frequency Transformation for Emotion Recognition.

Binqiang Wang, Gang Dong, Yaqian Zhao, Rengang Li

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Point Cloud Completion with Difference-Aware Point Voting.

Lihua Lu, Ruyang Li, Hui Wei, Yaqian Zhao, Rengang Li, Binqiang Wang

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Context-Based Point Generation Network for Point Cloud Completion.

Lihua Lu, Ruyang Li, Hui Wei, Yaqian Zhao, Rengang Li

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Towards Interpreting Computer Vision Based on Transformation Invariant Optimization.

Chen Li, JinZhe Jiang, Xin Zhang, Tonghuan Zhang, Yaqian Zhao, Dongdong Jiang, Rengang Li

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

NTIRE 2022 Image Inpainting Challenge: Report.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Layer-wise based Adabelief Optimization Algorithm for Deep Learning.

Zhi-Yong Qiu, Zhenhua Guo, Li Wang, Yaqian Zhao, Rengang Li

Proceedings of the 4th International Conference on Advanced Information Science and System, 2022

Spiking Emotions: Dynamic Vision Emotion Recognition Using Spiking Neural Networks.

Binqiang Wang, Gang Dong, Yaqian Zhao, Rengang Li, Hongbin Yang, Wenfeng Yin, Lingyan Liang

Proceedings of the 2022 2nd International Conference on Algorithms, 2022

2021

An improved model training method for residual convolutional neural networks in deep learning.

Xuelei Li, Rengang Li, Yaqian Zhao, Jian Zhao

Multim. Tools Appl., 2021

Genetic Algorithm based hyper-parameters optimization for transfer Convolutional Neural Network.

Chen Li, JinZhe Jiang, Yaqian Zhao, RenGang Li, Endong Wang, Xin Zhang, Kun Zhao

CoRR, 2021

Deep Reinforcement Learning for DAG-based Concurrent Requests Scheduling in Edge Networks.

Yaqiang Zhang, Ruyang Li, Zhangbing Zhou, Yaqian Zhao, Rengang Li

Proceedings of the Wireless Algorithms, Systems, and Applications, 2021

Knowledge-Supervised Learning: Knowledge Consensus Constraints for Person Re-Identification.

Li Wang, Baoyu Fan, Zhenhua Guo, Yaqian Zhao, Runze Zhang, Rengang Li, Weifeng Gong, Endong Wang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

A Request Scheduling Optimization Mechanism Based on Deep Q-Learning in Edge Computing Environments.

Yaqiang Zhang, Rengang Li, Yaqian Zhao, Ruyang Li

Proceedings of the 2021 IEEE Conference on Computer Communications Workshops, 2021

Coresets Application in Channel Pruning for Fast Neural Network Slimming.

Wenfeng Yin, Gang Dong, Yaqian Zhao, Rengang Li

Proceedings of the International Joint Conference on Neural Networks, 2021

You Get What You Sow: High Fidelity Image Synthesis with a Single Pretrained Network.

Kefeng Zhu, Peilin Tong, Hongwei Kan, Rengang Li

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Porting and FPGA Implementation of LXDE Desktop Environment Based on RISC-V.

Xiaofeng Zou, Tuo Li, Rengang Li, Linlin Yang, Xiankun Wang, Changhong Wang

Proceedings of the CSAE 2021: The 5th International Conference on Computer Science and Application Engineering, Sanya, China, October 19, 2021

A fast, scalable, and energy-efficient edge acceleration architecture based on FPGA cluster.

Rengang Li, Dongdong Su, Hongwei Kan

Proceedings of the CoNEXT '21: The 17th International Conference on emerging Networking EXperiments and Technologies, Virtual Event, Munich, Germany, December 7, 2021

2020

Contextual Multi-Scale Feature Learning for Person Re-Identification.

Baoyu Fan, Li Wang, Runze Zhang, Zhenhua Guo, Yaqian Zhao, Rengang Li, Weifeng Gong

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

A FPGA based intra-parallel architecture for PageRank graph processing.

Guoqiang Mei, Rui Hao, Jiangwei Wang, Hongwei Kan, Rengang Li

Proceedings of the 2020 IEEE International Conference on Edge Computing, 2020

An Optimal Design Method of Conv2d Operator for TensorFlow Based on FPGA Accelerator.

Rengang Li, Hongwei Kan, Dongdong Su, Yanwei Wang, Hongbo Zhao, Peilin Tong

Proceedings of the CSAE 2020: The 4th International Conference on Computer Science and Application Engineering, 2020

Dense-Scale Feature Learning in Person Re-identification.

Li Wang, Baoyu Fan, Zhenhua Guo, Yaqian Zhao, Runze Zhang, Rengang Li, Weifeng Gong

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019

The Quantum Shor Algorithm Simulated on FPGA.

Xin Zhang, Yaqian Zhao, RenGang Li, Xuelei Li, Zhenhua Guo, XiaoMin Zhu, Gang Dong

Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

The Study of Three Level Parallelisms in Ray Tracing Algorithm.

Hui Wei, Yaqian Zhao, Rengang Li

Proceedings of the 2nd International Conference on Computer Science and Software Engineering, 2019