Zhe Ma
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
44
Venues
23
Active years
1995–2025
Best venue rank
A*
Where they publish
- A*AAAI7 papers
- A*CVPR7 papers
- A*ICCV4 papers
- A*ECCV4 papers
- A*IJCAI2 papers
- BGLOBECOM2 papers
- AOOPSLA2 papers
- A*ICML1 paper
- AIROS1 paper
- A*WWW1 paper
- A*SIGIR1 paper
- UnrankedSENSYS1 paper
- CICICS1 paper
- BICPADS1 paper
- CCGI1 paper
- MulticonferenceICASSP1 paper
- BTrustCom1 paper
- NationalHCI1 paper
- NationalICMLC1 paper
- BEuroPar1 paper
- NationalRTNS1 paper
- ADATE1 paper
- BASPDAC1 paper
Papers
44 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | Safe Planner: Empowering Safety Awareness in Large Pre-Trained Models for Robot Task Planning. | Siyuan Li, Feifan Liu, Lingfei Cui, Jiani Lu, Qinqin Xiao, Xirui Yang, Peng Liu, Kewu Sun, Zhe Ma, Xun Wang |
| 2025 | AAAI | Improving Transformer Based Line Segment Detection with Matched Predicting and Re-ranking. | Xin Tong, Shi Peng, Baojie Tian, Yufei Guo, Xuhui Huang, Zhe Ma |
| 2025 | CVPR | Spiking Transformer: Introducing Accurate Addition-Only Spiking Self-Attention for Transformer. | Yufei Guo, Xiaode Liu, Yuanpei Chen, Weihang Peng, Yuhan Zhang, Zhe Ma |
| 2025 | ICCV | An Inversion-Based Measure of Memorization for Diffusion Models. | Zhe Ma, Qingming Li, Xuhong Zhang, Tianyu Du, Ruixiao Lin, Zonghui Wang, Shouling Ji, Wenzhi Chen |
| 2025 | ICML | ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks. | Yufei Guo, Yuhan Zhang, Jie Zhou, Xiaode Liu, Xin Tong, Yuanpei Chen, Weihang Peng, Zhe Ma |
| 2024 | AAAI | Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks. | Yufei Guo, Yuanpei Chen, Xiaode Liu, Weihang Peng, Yuhan Zhang, Xuhui Huang, Zhe Ma |
| 2024 | AAAI | Robust Visual Imitation Learning with Inverse Dynamics Representations. | Siyuan Li, Xun Wang, Rongchang Zuo, Kewu Sun, Lingfei Cui, Jishiyu Ding, Peng Liu, Zhe Ma |
| 2024 | AAAI | Let All Be Whitened: Multi-Teacher Distillation for Efficient Visual Retrieval. | Zhe Ma, Jianfeng Dong, Shouling Ji, Zhenguang Liu, Xuhong Zhang, Zonghui Wang, Sifeng He, Feng Qian, Xiaobo Zhang, Lei Yang |
| 2024 | AAAI | Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning. | Yuhan Zhang, Xiaode Liu, Yuanpei Chen, Weihang Peng, Yufei Guo, Xuhui Huang, Zhe Ma |
| 2024 | IJCAI | SpecAR-Net: Spectrogram Analysis and Representation Network for Time Series. | Yi Dong, Liwen Zhang, Youcheng Zhang, Shi Peng, Wen Chen, Zhe Ma |
| 2024 | IROS | A Context-Enhanced Full-Resolution Floor Plan Segmentation Network for Topological Semantic Mapping. | Zhengcai Cao, Yiyang Sun, Zhe Ma, MengChu Zhou |
| 2023 | CVPR | Deep Dive into Gradients: Better Optimization for 3D Object Detection with Gradient-Corrected IoU Supervision. | Qi Ming, Lingjuan Miao, Zhe Ma, Lin Zhao, Zhiqiang Zhou, Xuhui Huang, Yuanpei Chen, Yufei Guo |
| 2023 | CVPR | PeakConv: Learning Peak Receptive Field for Radar Semantic Segmentation. | Liwen Zhang, Xinyan Zhang, Youcheng Zhang, Yufei Guo, Yuanpei Chen, Xuhui Huang, Zhe Ma |
| 2023 | ICCV | RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks. | Yufei Guo, Xiaode Liu, Yuanpei Chen, Liwen Zhang, Weihang Peng, Yuhan Zhang, Xuhui Huang, Zhe Ma |
| 2023 | ICCV | Membrane Potential Batch Normalization for Spiking Neural Networks. | Yufei Guo, Yuhan Zhang, Yuanpei Chen, Weihang Peng, Xiaode Liu, Liwen Zhang, Xuhui Huang, Zhe Ma |
| 2023 | ICCV | Alleviating Catastrophic Forgetting of Incremental Object Detection via Within-Class and Between-Class Knowledge Distillation. | Mengxue Kang, Jinpeng Zhang, Jinming Zhang, Xiashuang Wang, Yang Chen, Zhe Ma, Xuhui Huang |
| 2023 | WWW | Ad Auction Design with Coupon-Dependent Conversion Rate in the Auto-bidding World. | Bonan Ni, Xun Wang, Qi Zhang, Pingzhong Tang, Zhourong Chen, Tianjiu Yin, Liangni Lu, Xiaobing Liu, Kewu Sun, Zhe Ma |
| 2023 | SIGIR | From Region to Patch: Attribute-Aware Foreground-Background Contrastive Learning for Fine-Grained Fashion Retrieval. | Jianfeng Dong, Xiaoman Peng, Zhe Ma, Daizong Liu, Xiaoye Qu, Xun Yang, Jixiang Zhu, Baolong Liu |
| 2023 | SENSYS | FingerFaker: Spoofing Attack on COTS Fingerprint Recognition Without Victim's Knowledge. | Yijie Shen, Zhe Ma, Feng Lin, Hao Yan, Zhongjie Ba, Li Lu, Wenyao Xu, Kui Ren |
| 2022 | CVPR | RecDis-SNN: Rectifying Membrane Potential Distribution for Directly Training Spiking Neural Networks. | Yufei Guo, Xinyi Tong, Yuanpei Chen, Liwen Zhang, Xiaode Liu, Zhe Ma, Xuhui Huang |
| 2022 | CVPR | NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results. | Eduardo Prez-Pellitero, Sibi Catley-Chandar, Richard Shaw, Ales Leonardis, Radu Timofte, Zexin Zhang, Cen Liu, Yunbo Peng, Yue Lin, Gaocheng Yu, Jin Zhang, Zhe Ma, Hongbin Wang, Xiangyu Chen, Xintao Wang, Haiwei Wu, Lin Liu, Chao Dong, Jiantao Zhou, Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong, Dan Zhu, Mengdi Sun, Guannan Chen, Yang Hu, Haowei Li, Baozhu Zou, Zhen Liu, Wenjie Lin, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Mingyan Han, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Juan Marn-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Rttger, Chunyang Li, Long Bao, Gang He, Ziyao Xu, Li Xu, Gen Zhan, Ming Sun, Xing Wen, Junlin Li, Jinjing Li, Chenghua Li, Ruipeng Gang, Fangya Li, Chenming Liu, Shuang Feng, Fei Lei, Rui Liu, Junxiang Ruan, Tianhong Dai, Wei Li, Zhan Lu, Hengyan Liu, Peian Huang, Guangyu Ren, Yonglin Luo, Chang Liu, Qiang Tu, Sai Ma, Yizhen Cao, Steven Tel, Barthelemy Heyrman, Dominique Ginhac, Chul Lee, Gahyeon Kim, Seonghyun Park, An Gia Vien, Truong Thanh Nhat Mai, Howoon Yoon, Tu Vo, Alexander C. Holston, Sheir Zaheer, Chan Y. Park |
| 2022 | CVPR | Efficient Progressive High Dynamic Range Image Restoration via Attention and Alignment Network. | Gaocheng Yu, Jin Zhang, Zhe Ma, Hongbin Wang |
| 2022 | ECCV | Reducing Information Loss for Spiking Neural Networks. | Yufei Guo, Yuanpei Chen, Liwen Zhang, YingLei Wang, Xiaode Liu, Xinyi Tong, Yuanyuan Ou, Xuhui Huang, Zhe Ma |
| 2022 | ECCV | Real Spike: Learning Real-Valued Spikes for Spiking Neural Networks. | Yufei Guo, Liwen Zhang, Yuanpei Chen, Xinyi Tong, Xiaode Liu, YingLei Wang, Xuhui Huang, Zhe Ma |
| 2022 | ECCV | Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 Challenge: Report. | Andrey Ignatov, Radu Timofte, Maurizio Denna, Abdel Younes, Ganzorig Gankhuyag, Jingang Huh, Myeong Kyun Kim, Kihwan Yoon, Hyeon-Cheol Moon, Seungho Lee, Yoonsik Choe, Jinwoo Jeong, Sungjei Kim, Maciej Smyl, Tomasz Latkowski, Pawel Kubik, Michal Sokolski, Yujie Ma, Jiahao Chao, Zhou Zhou, Hongfan Gao, Zhengfeng Yang, Zhenbing Zeng, Zhengyang Zhuge, Chenghua Li, Dan Zhu, Mengdi Sun, Ran Duan, Yan Gao, Lingshun Kong, Long Sun, Xiang Li, Xingdong Zhang, Jiawei Zhang, Yaqi Wu, Jinshan Pan, Gaocheng Yu, Jin Zhang, Feng Zhang, Zhe Ma, Hongbin Wang, Hojin Cho, Steve Kim, Huaen Li, Yanbo Ma, Ziwei Luo, Youwei Li, Lei Yu, Zhihong Wen, Qi Wu, Haoqiang Fan, Shuaicheng Liu, Lize Zhang, Zhikai Zong, Jeremy Kwon, Junxi Zhang, Mengyuan Li, Nianxiang Fu, Guanchen Ding, Han Zhu, Zhenzhong Chen, Gen Li, Yuanfan Zhang, Lei Sun, Dafeng Zhang, Neo Yang, Fitz Liu, Jerry Zhao, Mustafa Ayazoglu, Bahri Batuhan Bilecen, Shota Hirose, Kasidis Arunruangsirilert, Luo Ao, Ho Chun Leung, Andrew Wei, Jie Liu, Qiang Liu, Dahai Yu, Ao Li, Lei Luo, Ce Zhu, Seongmin Hong, Dongwon Park, Joonhee Lee, Byeong Hyun Lee, Seunggyu Lee, Se Young Chun, Ruiyuan He, Xuhao Jiang, Haihang Ruan, Xinjian Zhang, Jing Liu, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He |
| 2022 | ECCV | Realistic Bokeh Effect Rendering on Mobile GPUs, Mobile AI & AIM 2022 Challenge: Report. | Andrey Ignatov, Radu Timofte, Jin Zhang, Feng Zhang, Gaocheng Yu, Zhe Ma, Hongbin Wang, Minsu Kwon, Haotian Qian, Wentao Tong, Pan Mu, Ziping Wang, Guangjing Yan, Brian Lee, Lei Fei, Huaijin G. Chen, Hyebin Cho, Byeongjun Kwon, Munchurl Kim, Mingyang Qian, Huixin Ma, Yanan Li, Xiaotao Wang, Lei Lei |
| 2022 | ICICS | Autoencoder Assist: An Efficient Profiling Attack on High-Dimensional Datasets. | Qi Lei, Zijia Yang, Qin Wang, Yaoling Ding, Zhe Ma, An Wang |
| 2022 | ICPADS | Fingersound: A Low-cost and Deployable Authentication System with Fingertip Sliding Sound. | Zhanglei Shu, Zhangsen Wang, Guozheng Yang, Cheng Zang, Zhe Ma, Feng Lin, Kui Ren |
| 2021 | CGI | An Improved Advancing-front-Delaunay Method for Triangular Mesh Generation. | Yufei Guo, Xuhui Huang, Zhe Ma, Yongqing Hai, Rongli Zhao, Kewu Sun |
| 2021 | CVPR | ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-Shot Learning. | Chaofan Chen, Xiaoshan Yang, Changsheng Xu, Xuhui Huang, Zhe Ma |
| 2021 | ICASSP | Hierarchical Similarity Learning for Language-Based Product Image Retrieval. | Zhe Ma, Fenghao Liu, Jianfeng Dong, Xiaoye Qu, Yuan He, Shouling Ji |
| 2020 | AAAI | Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding Network. | Zhe Ma, Jianfeng Dong, Zhongzi Long, Yao Zhang, Yuan He, Hui Xue, Shouling Ji |
| 2020 | GLOBECOM | DeepIoT: Deep Learning Based Symbol Detection for Spatially Undersampled Internet of Things. | Zhe Ma, Mengnan Jian, Feifei Gao, Xuemin Sherman Shen |
| 2020 | TrustCom | VGG-based side channel attack on RSA implementation. | Qi Lei, Chao Li, Kexin Qiao, Zhe Ma, Bo Yang |
| 2019 | GLOBECOM | Cooperative Detection for Ambient Backscatter Assisted Generalized Spatial Modulation. | Zhe Ma, Feifei Gao, Jing Jiang, Ying-Chang Liang |
| 2016 | HCI | AtHoCare: An Intelligent Elder Care at Home System. | Tao Xu, Yun Zhou, Zhe Ma |
| 2016 | ICMLC | Performance evaluation of visual servoing based on complete feature sets. | Zhe Ma, Jian-Bo Su |
| 2011 | EuroPar | Evaluating Application Vulnerability to Soft Errors in Multi-level Cache Hierarchy. | Zhe Ma, Trevor E. Carlson, Wim Heirman, Lieven Eeckhout |
| 2011 | RTNS | Runtime Scheduling for Video Decoding on Heterogeneous Architectures. | Carolina Blanch, Rogier Baert, Paul Coene, Maja D'Hondt, Zhe Ma, Roel Wuyts |
| 2009 | OOPSLA | The future is dynamic: adaptive runtime resource management for heterogeneous computer platforms. | Rogier Baert, Carolina Blanch, Paul Coene, Maja D'Hondt, Zhe Ma, Roel Wuyts |
| 2009 | OOPSLA | The future is dynamic: adaptive runtime resource management for heterogeneous computer platforms. | Rogier Baert, Carolina Blanch, Paul Coene, Maja D'Hondt, Zhe Ma, Roel Wuyts |
| 2006 | DATE | Scalable performance-energy trade-off exploration of embedded real-time systems on multiprocessor platforms. | Zhe Ma, Francky Catthoor |
| 2005 | ASPDAC | Hierarchical task scheduler for interleaving subtasks on heterogeneous multiprocessor platforms. | Zhe Ma, Francky Catthoor, Johan Vounckx |
| 1995 | IJCAI | GR2: A Hybrid Knowledge-based System Using General Rules. | Zhe Ma, Robert F. Harrison, R. Lee Kennedy |