Xiaolong Ma
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
56
Venues
34
Active years
2004–2026
Best venue rank
A*
Where they publish
- A*ECCV4 papers
- A*AAAI4 papers
- A*DAC4 papers
- A*ICLR3 papers
- A*ICML3 papers
- ADATE3 papers
- CIGARSS3 papers
- A*ICCV2 papers
- A*CVPR2 papers
- A*IJCAI2 papers
- BASPDAC2 papers
- BIJCNN2 papers
- A*CHI1 paper
- A*CCS1 paper
- ACIKM1 paper
- AECAI1 paper
- A*EMNLP1 paper
- A*SP1 paper
- NationalCISIS1 paper
- UnrankedSENSYS1 paper
- AFPGA1 paper
- A*WWW1 paper
- A*ISCA1 paper
- A*ASPLOS1 paper
- AFAST1 paper
- AICS1 paper
- CISCAS1 paper
- AISLPED1 paper
- A*MICRO1 paper
- CLANMAN1 paper
- CNPC1 paper
- MulticonferenceICASSP1 paper
- CISNN1 paper
- BESANN1 paper
Papers
56 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | CHI | From Preference to Performance: Patient-Centered Design of Multimodal Cueing in Parkinson's Disease Gait Training. | Xinjin Li, Wenjie Wang, Kai Wang, Houzhen Tuo, Xiaolong Ma, Xiaohui Tan, Wei Sun, Feng Tian, Xiaojuan Ma |
| 2025 | CCS | What Lurks Within? Concept Auditing for Shared Diffusion Models at Scale. | Xiaoyong (Brian) Yuan, Xiaolong Ma, Linke Guo, Lan Zhang |
| 2025 | CIKM | Efficient Knowledge Graph Unlearning with Zeroth-order Information. | Yang Xiao, Ruimeng Ye, Bohan Liu, Xiaolong Ma, Bo Hui |
| 2025 | ECAI | DBA-DFL: Towards Distributed Backdoor Attacks with Network Detection in Decentralized Federated Learning. | Bohan Liu, Yang Xiao, Ruimeng Ye, Zinan Ling, Xiaolong Ma, Bo Hui |
| 2025 | EMNLP | Your RAG is Unfair: Exposing Fairness Vulnerabilities in Retrieval-Augmented Generation via Backdoor Attacks. | Gaurav Bagwe, Saket S. Chaturvedi, Xiaolong Ma, Xiaoyong Yuan, Kuang-Ching Wang, Lan Zhang |
| 2025 | ICCV | Sculpting Memory: Multi-Concept Forgetting in Diffusion Models via Dynamic Mask and Concept-Aware Optimization. | Gen Li, Yang Xiao, Jie Ji, Kaiyuan Deng, Bo Hui, Linke Guo, Xiaolong Ma |
| 2025 | ICCV | Optimal Transport for Brain-Image Alignment: Unveiling Redundancy and Synergy in Neural Information Processing. | Yang Xiao, Wang Lu, Jie Ji, Ruimeng Ye, Gen Li, Xiaolong Ma, Bo Hui |
| 2025 | SP | Adversarial Robust ViT-Based Automatic Modulation Recognition in Practical Deep Learning-Based Wireless Systems. | Gen Li, ChunChih Lin, Xiaonan Zhang, Xiaolong Ma, Linke Guo |
| 2024 | CISIS | Investigation of Location Problem in Logistics Centers Using ADMM Algorithm. | Lili Su, Qiong Li, Xiaolong Ma, Xu An Wang |
| 2024 | ECCV | Data Overfitting for On-device Super-Resolution with Dynamic Algorithm and Compiler Co-design. | Gen Li, Zhihao Shu, Jie Ji, Minghai Qin, Fatemeh Afghah, Wei Niu, Xiaolong Ma |
| 2024 | ICLR | NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization. | Gen Li, Lu Yin, Jie Ji, Wei Niu, Minghai Qin, Bin Ren, Linke Guo, Shiwei Liu, Xiaolong Ma |
| 2024 | ICML | Advancing Dynamic Sparse Training by Exploring Optimization Opportunities. | Jie Ji, Gen Li, Lu Yin, Minghai Qin, Geng Yuan, Linke Guo, Shiwei Liu, Xiaolong Ma |
| 2024 | SENSYS | Behaviors Speak More: Achieving User Authentication Leveraging Facial Activities via mmWave Sensing. | Chenxu Jiang, Sihan Yu, Jingjing Fu, ChunChih Lin, Huadi Zhu, Xiaolong Ma, Ming Li, Linke Guo |
| 2023 | AAAI | Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training. | Zhenglun Kong, Haoyu Ma, Geng Yuan, Mengshu Sun, Yanyue Xie, Peiyan Dong, Xin Meng, Xuan Shen, Hao Tang, Minghai Qin, Tianlong Chen, Xiaolong Ma, Xiaohui Xie, Zhangyang Wang, Yanzhi Wang |
| 2023 | CVPR | Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting. | Gen Li, Jie Ji, Minghai Qin, Wei Niu, Bin Ren, Fatemeh Afghah, Linke Guo, Xiaolong Ma |
| 2023 | DATE | ESRU: Extremely Low-Bit and Hardware-Efficient Stochastic Rounding Unit Design for Low-Bit DNN Training. | Sung-En Chang, Geng Yuan, Alec Lu, Mengshu Sun, Yanyu Li, Xiaolong Ma, Zhengang Li, Yanyue Xie, Minghai Qin, Xue Lin, Zhenman Fang, Yanzhi Wang |
| 2023 | ICLR | Rethinking Graph Lottery Tickets: Graph Sparsity Matters. | Bo Hui, Da Yan, Xiaolong Ma, Wei-Shinn Ku |
| 2023 | IJCAI | Data Level Lottery Ticket Hypothesis for Vision Transformers. | Xuan Shen, Zhenglun Kong, Minghai Qin, Peiyan Dong, Geng Yuan, Xin Meng, Hao Tang, Xiaolong Ma, Yanzhi Wang |
| 2022 | CVPR | CHEX: CHannel EXploration for CNN Model Compression. | Zejiang Hou, Minghai Qin, Fei Sun, Xiaolong Ma, Kun Yuan, Yi Xu, Yen-Kuang Chen, Rong Jin, Yuan Xie, Sun-Yuan Kung |
| 2022 | DAC | Hardware-efficient stochastic rounding unit design for DNN training: late breaking results. | Sung-En Chang, Geng Yuan, Alec Lu, Mengshu Sun, Yanyu Li, Xiaolong Ma, Zhengang Li, Yanyue Xie, Minghai Qin, Xue Lin, Zhenman Fang, Yanzhi Wang |
| 2022 | DATE | Fault-Tolerant Deep Neural Networks for Processing-In-Memory based Autonomous Edge Systems. | Siyue Wang, Geng Yuan, Xiaolong Ma, Yanyu Li, Xue Lin, Bhavya Kailkhura |
| 2022 | ECCV | SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning. | Zhenglun Kong, Peiyan Dong, Xiaolong Ma, Xin Meng, Wei Niu, Mengshu Sun, Xuan Shen, Geng Yuan, Bin Ren, Hao Tang, Minghai Qin, Yanzhi Wang |
| 2022 | ECCV | You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding. | Geng Yuan, Sung-En Chang, Qing Jin, Alec Lu, Yanyu Li, Yushu Wu, Zhenglun Kong, Yanyue Xie, Peiyan Dong, Minghai Qin, Xiaolong Ma, Xulong Tang, Zhenman Fang, Yanzhi Wang |
| 2022 | FPGA | FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization. | Mengshu Sun, Zhengang Li, Alec Lu, Yanyu Li, Sung-En Chang, Xiaolong Ma, Xue Lin, Zhenman Fang |
| 2022 | ICLR | Effective Model Sparsification by Scheduled Grow-and-Prune Methods. | Xiaolong Ma, Minghai Qin, Fei Sun, Zejiang Hou, Kun Yuan, Yi Xu, Yanzhi Wang, Yen-Kuang Chen, Rong Jin, Yuan Xie |
| 2022 | ICML | Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets. | Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wang, Zhangyang Wang |
| 2022 | WWW | Optimizing Data Layout for Training Deep Neural Networks. | Bingyao Li, Qi Xue, Geng Yuan, Sheng Li, Xiaolong Ma, Yanzhi Wang, Xulong Tang |
| 2021 | DAC | A Unified DNN Weight Pruning Framework Using Reweighted Optimization Methods. | Tianyun Zhang, Xiaolong Ma, Zheng Zhan, Shanglin Zhou, Caiwen Ding, Makan Fardad, Yanzhi Wang |
| 2021 | DATE | TinyADC: Peripheral Circuit-aware Weight Pruning Framework for Mixed-signal DNN Accelerators. | Geng Yuan, Payman Behnam, Yuxuan Cai, Ali Shafiee, Jingyan Fu, Zhiheng Liao, Zhengang Li, Xiaolong Ma, Jieren Deng, Jinhui Wang, Mahdi Nazm Bojnordi, Yanzhi Wang, Caiwen Ding |
| 2021 | ICML | Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not? | Ning Liu, Geng Yuan, Zhengping Che, Xuan Shen, Xiaolong Ma, Qing Jin, Jian Ren, Jian Tang, Sijia Liu, Yanzhi Wang |
| 2021 | IJCAI | Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices. | Xuan Shen, Geng Yuan, Wei Niu, Xiaolong Ma, Jiexiong Guan, Zhengang Li, Bin Ren, Yanzhi Wang |
| 2021 | ISCA | FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator. | Geng Yuan, Payman Behnam, Zhengang Li, Ali Shafiee, Sheng Lin, Xiaolong Ma, Hang Liu, Xuehai Qian, Mahdi Nazm Bojnordi, Yanzhi Wang, Caiwen Ding |
| 2020 | AAAI | AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates. | Ning Liu, Xiaolong Ma, Zhiyuan Xu, Yanzhi Wang, Jian Tang, Jieping Ye |
| 2020 | AAAI | PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices. | Xiaolong Ma, Fu-Ming Guo, Wei Niu, Xue Lin, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang |
| 2020 | ASPDAC | Database and Benchmark for Early-stage Malicious Activity Detection in 3D Printing. | Xiaolong Ma, Zhe Li, Hongjia Li, Qiyuan An, Qinru Qiu, Wenyao Xu, Yanzhi Wang |
| 2020 | ASPDAC | Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation. | Xiaolong Ma, Geng Yuan, Sheng Lin, Caiwen Ding, Fuxun Yu, Tao Liu, Wujie Wen, Xiang Chen, Yanzhi Wang |
| 2020 | ASPLOS | PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning. | Wei Niu, Xiaolong Ma, Sheng Lin, Shihao Wang, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren |
| 2020 | DAC | PIM-Prune: Fine-Grain DCNN Pruning for Crossbar-Based Process-In-Memory Architecture. | Chaoqun Chu, Yanzhi Wang, Yilong Zhao, Xiaolong Ma, Shaokai Ye, Yunyan Hong, Xiaoyao Liang, Yinhe Han, Li Jiang |
| 2020 | DAC | PCNN: Pattern-based Fine-Grained Regular Pruning Towards Optimizing CNN Accelerators. | Zhanhong Tan, Jiebo Song, Xiaolong Ma, Sia Huat Tan, Hongyang Chen, Yuanqing Miao, Yifu Wu, Shaokai Ye, Yanzhi Wang, Dehui Li, Kaisheng Ma |
| 2020 | ECCV | An Image Enhancing Pattern-Based Sparsity for Real-Time Inference on Mobile Devices. | Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Sheng Lin, Hongjia Li, Wujie Wen, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang |
| 2020 | FAST | InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache. | Ao Wang, Jingyuan Zhang, Xiaolong Ma, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Vasily Tarasov, Feng Yan, Yue Cheng |
| 2020 | ICS | CSB-RNN: a faster-than-realtime RNN acceleration framework with compressed structured blocks. | Runbin Shi, Peiyan Dong, Tong Geng, Yuhao Ding, Xiaolong Ma, Hayden Kwok-Hay So, Martin C. Herbordt, Ang Li, Yanzhi Wang |
| 2019 | ISCAS | Car-Following Behavior of Coach Bus Based on Naturalistic Driving Experiments in Urban Roads. | Zuo Wang, Du Chigan, Xiaolong Ma, Guotu Liu, Jianbei Liu, Chaojie Zhao |
| 2019 | ISLPED | An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM. | Geng Yuan, Xiaolong Ma, Caiwen Ding, Sheng Lin, Tianyun Zhang, Zeinab S. Jalali, Yilong Zhao, Li Jiang, Sucheta Soundarajan, Yanzhi Wang |
| 2018 | AAAI | Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework. | Yanzhi Wang, Caiwen Ding, Zhe Li, Geng Yuan, Siyu Liao, Xiaolong Ma, Bo Yuan, Xuehai Qian, Jian Tang, Qinru Qiu, Xue Lin |
| 2018 | IGARSS | A High-Precision Elliptical Target Identification Method for Image Sequences. | Shouzhu Zheng, Peng Chen, Sicong Liu, Xiaolong Ma, Sa Gao, Xiaohua Tong |
| 2018 | IGARSS | An Improved Index for Desaturation of DMSP Nighttime Light Data. | Xiaolong Ma, Xiaohua Tong, Sicong Liu, Zhaoting Ma, Shouzhu Zheng |
| 2017 | IGARSS | Extraction of built-up areas in Chinese silk road economic belt based on DMSP-OLS data. | Xiaolong Ma, Xiaohua Tong, Sicong Liu, Zhaoting Ma |
| 2017 | MICRO | CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices. | Caiwen Ding, Siyu Liao, Yanzhi Wang, Zhe Li, Ning Liu, Youwei Zhuo, Chao Wang, Xuehai Qian, Yu Bai, Geng Yuan, Xiaolong Ma, Yipeng Zhang, Jian Tang, Qinru Qiu, Xue Lin, Bo Yuan |
| 2015 | LANMAN | A novel energy efficient cooperative spectrum sensing scheme for cognitive radio sensor network based on evolutionary game. | Xiaolong Ma, Fanzi Zeng, Jisheng Xu |
| 2014 | NPC | Online Mechanism Design for VMs Allocation in Private Cloud. | Xiaohong Wu, Yonggen Gu, Guoqiang Li, Jie Tao, Jingyu Chen, Xiaolong Ma |
| 2013 | ICASSP | Color facial image denoising based on rpca and noisy pixel detection. | Zhaojun Yuan, Xudong Xie, Xiaolong Ma, Kin-Man Lam |
| 2007 | ISNN | An Extremely Simple Reinforcement Learning Rule for Neural Networks. | Xiaolong Ma |
| 2006 | IJCNN | Global Reinforcement Learning in Neural Networks with Stochastic Synapses. | Xiaolong Ma, Konstantin Likharev |
| 2004 | ESANN | Architectures for Nanoelectronic Neural Networks: New Results. | zgr Trel, Jung Hoon Lee, Xiaolong Ma, Konstantin Likharev |
| 2004 | IJCNN | Nanoelectronic neuromorphic networks (CrossNets): new results. | zgr Trel, Jung Hoon Lee, Xiaolong Ma, Konstantin K. Likharev |