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Linfeng Zhang
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2020 – today
- 2024
- [j24]Zimo Liao, Zhicheng Luo, Qianyi Huang, Linfeng Zhang, Fan Wu, Qian Zhang, Guihai Chen:
Gesture Recognition Using Visible Light on Mobile Devices. IEEE/ACM Trans. Netw. 32(4): 2920-2935 (2024) - [i51]Hengxing Cai, Xiaochen Cai, Junhan Chang, Sihang Li, Lin Yao, Changxin Wang, Zhifeng Gao, Hongshuai Wang, Yongge Li, Mujie Lin, Shuwen Yang, Jiankun Wang, Yuqi Yin, Yaqi Li, Linfeng Zhang, Guolin Ke:
SciAssess: Benchmarking LLM Proficiency in Scientific Literature Analysis. CoRR abs/2403.01976 (2024) - [i50]Hengxing Cai, Xiaochen Cai, Shuwen Yang, Jiankun Wang, Lin Yao, Zhifeng Gao, Junhan Chang, Sihang Li, Mingjun Xu, Changxin Wang, Hongshuai Wang, Yongge Li, Mujie Lin, Yaqi Li, Yuqi Yin, Linfeng Zhang, Guolin Ke:
Uni-SMART: Universal Science Multimodal Analysis and Research Transformer. CoRR abs/2403.10301 (2024) - [i49]Xinzijian Liu, Yanbo Han, Zhuoyuan Li, Jiahao Fan, Chengqian Zhang, Jinzhe Zeng, Yifan Shan, Yannan Yuan, Wei-Hong Xu, Yun-Pei Liu, Yuzhi Zhang, Tongqi Wen, Darrin M. York, Zhicheng Zhong, Hang Zheng, Jun Cheng, Linfeng Zhang, Han Wang:
Dflow, a Python framework for constructing cloud-native AI-for-Science workflows. CoRR abs/2404.18392 (2024) - [i48]Eric Alcaide, Zhifeng Gao, Guolin Ke, Yaqi Li, Linfeng Zhang, Hang Zheng, Gengmo Zhou:
Uni-Mol Docking V2: Towards Realistic and Accurate Binding Pose Prediction. CoRR abs/2405.11769 (2024) - [i47]Zhihang Yuan, Pu Lu, Hanling Zhang, Xuefei Ning, Linfeng Zhang, Tianchen Zhao, Shengen Yan, Guohao Dai, Yu Wang:
DiTFastAttn: Attention Compression for Diffusion Transformer Models. CoRR abs/2406.08552 (2024) - [i46]Xiaohong Ji, Zhen Wang, Zhifeng Gao, Hang Zheng, Linfeng Zhang, Guolin Ke, Weinan E:
Uni-Mol2: Exploring Molecular Pretraining Model at Scale. CoRR abs/2406.14969 (2024) - [i45]Zhanghao Zhouyin, Zixi Gan, Shishir Kumar Pandey, Linfeng Zhang, Qiangqiang Gu:
Learning local equivariant representations for quantum operators. CoRR abs/2407.06053 (2024) - [i44]Boshen Zeng, Sian Chen
, Xinxin Liu, Changhong Chen, Bin Deng, Xiaoxu Wang, Zhifeng Gao, Yuzhi Zhang, Weinan E, Linfeng Zhang:
Uni-ELF: A Multi-Level Representation Learning Framework for Electrolyte Formulation Design. CoRR abs/2407.06152 (2024) - [i43]Shaobo Wang, Yantai Yang, Qilong Wang, Kaixin Li, Linfeng Zhang, Junchi Yan:
Not All Samples Should Be Utilized Equally: Towards Understanding and Improving Dataset Distillation. CoRR abs/2408.12483 (2024) - [i42]Sihang Li, Jin Huang, Jiaxi Zhuang, Yaorui Shi, Xiaochen Cai, Mingjun Xu, Xiang Wang, Linfeng Zhang, Guolin Ke, Hengxing Cai:
SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding. CoRR abs/2408.15545 (2024) - [i41]Linfeng Zhang, Changyue Hu, Zhiyu Quan:
NLP-Powered Repository and Search Engine for Academic Papers: A Case Study on Cyber Risk Literature with CyLit. CoRR abs/2409.06226 (2024) - [i40]Shaobo Wang, Yantai Yang, Shuaiyu Zhang, Chenghao Sun, Weiya Li, Xuming Hu, Linfeng Zhang:
DRUPI: Dataset Reduction Using Privileged Information. CoRR abs/2410.01611 (2024) - [i39]Linfeng Zhang, Kaisheng Ma:
Accelerating Diffusion Models with One-to-Many Knowledge Distillation. CoRR abs/2410.04191 (2024) - [i38]Chang Zou, Xuyang Liu, Ting Liu, Siteng Huang, Linfeng Zhang:
Accelerating Diffusion Transformers with Token-wise Feature Caching. CoRR abs/2410.05317 (2024) - [i37]Qianli Ma, Xuefei Ning, Dongrui Liu, Li Niu, Linfeng Zhang:
Decouple-Then-Merge: Towards Better Training for Diffusion Models. CoRR abs/2410.06664 (2024) - [i36]Jie Zhang, Dongrui Liu, Chen Qian, Linfeng Zhang, Yong Liu, Yu Qiao, Jing Shao:
REEF: Representation Encoding Fingerprints for Large Language Models. CoRR abs/2410.14273 (2024) - [i35]Shaobo Wang, Hongxuan Tang, Mingyang Wang, Hongrui Zhang, Xuyang Liu, Weiya Li, Xuming Hu, Linfeng Zhang:
Gnothi Seauton: Empowering Faithful Self-Interpretability in Black-Box Models. CoRR abs/2410.21815 (2024) - 2023
- [j23]Yixiao Chen
DeePKS-kit: A package for developing machine learning-based chemically accurate energy and density functional models. Comput. Phys. Commun. 282: 108520 (2023) - [j22]Linfeng Zhang:
Application of a Network Teaching Platform in English Classroom Teaching. Int. J. Web Based Learn. Teach. Technol. 18(1): 1-12 (2023) - [j21]Hanchen Wang
Scientific discovery in the age of artificial intelligence. Nat. 620(7972): 47-60 (2023) - [j20]Linfeng Zhang
Structured Knowledge Distillation for Accurate and Efficient Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15706-15724 (2023) - [j19]Linfeng Zhang
Multi-UAV Data Collection and Path Planning Method for Large-Scale Terminal Access. Sensors 23(20): 8601 (2023) - [j18]Linfeng Zhang
A Good Data Augmentation Policy is not All You Need: A Multi-Task Learning Perspective. IEEE Trans. Circuits Syst. Video Technol. 33(5): 2190-2201 (2023) - [c37]Linfeng Zhang, Yukang Shi, Ke Wang, Zhipeng Zhang, Hung-Shuo Tai, Yuan He, Kaisheng Ma:
Structured Knowledge Distillation Towards Efficient Multi-View 3D Object Detection. BMVC 2023: 339-344 - [c36]Linfeng Zhang, Xin Chen, Runpei Dong
Region-aware Knowledge Distillation for Efficient Image-to-Image Translation. BMVC 2023: 345-346 - [c35]Linfeng Zhang, Runpei Dong
PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection. CVPR 2023: 21791-21801 - [c34]Muzhou Yu, Sia Huat Tan, Kailu Wu, Runpei Dong
CORSD: Class-Oriented Relational Self Distillation. ICASSP 2023: 1-5 - [c33]Fei Li, Linfeng Zhang, Zikun Liu, Juan Lei, Zhenbo Li:
Multi-Frequency Representation Enhancement with Privilege Information for Video Super-Resolution. ICCV 2023: 12768-12779 - [c32]Tianchen Zhao, Xuefei Ning, Ke Hong, Zhongyuan Qiu, Pu Lu, Yali Zhao, Linfeng Zhang, Lipu Zhou, Guohao Dai, Huazhong Yang, Yu Wang:
Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection. ICCV 2023: 17682-17692 - [c31]Linfeng Zhang, Kaisheng Ma:
Tiny Updater: Towards Efficient Neural Network-Driven Software Updating. ICCV 2023: 23390-23402 - [c30]Runpei Dong
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning? ICLR 2023 - [c29]Gengmo Zhou, Zhifeng Gao, Qiankun Ding, Hang Zheng
Uni-Mol: A Universal 3D Molecular Representation Learning Framework. ICLR 2023 - [c28]Muzhou Yu, Linfeng Zhang, Kaisheng Ma:
Revisiting Data Augmentation in Model Compression: An Empirical and Comprehensive Study. IJCNN 2023: 1-10 - [i34]Shuqi Lu, Zhifeng Gao, Di He, Linfeng Zhang, Guolin Ke:
Highly Accurate Quantum Chemical Property Prediction with Uni-Mol+. CoRR abs/2303.16982 (2023) - [i33]Zhifeng Gao, Xiaohong Ji, Guojiang Zhao, Hongshuai Wang, Hang Zheng, Guolin Ke, Linfeng Zhang:
Uni-QSAR: an Auto-ML Tool for Molecular Property Prediction. CoRR abs/2304.12239 (2023) - [i32]Muzhou Yu, Sia Huat Tan, Kailu Wu, Runpei Dong, Linfeng Zhang, Kaisheng Ma:
CORSD: Class-Oriented Relational Self Distillation. CoRR abs/2305.00918 (2023) - [i31]Muzhou Yu, Linfeng Zhang, Kaisheng Ma:
Revisiting Data Augmentation in Model Compression: An Empirical and Comprehensive Study. CoRR abs/2305.13232 (2023) - [i30]Tianchen Zhao, Xuefei Ning, Ke Hong, Zhongyuan Qiu, Pu Lu, Yali Zhao, Linfeng Zhang, Lipu Zhou, Guohao Dai, Huazhong Yang, Yu Wang:
Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection. CoRR abs/2307.08209 (2023) - 2022
- [j17]Qinyin Ni
A Novel Design Method of High Throughput Blockchain for 6G Networks: Performance Analysis and Optimization Model. IEEE Internet Things J. 9(24): 25643-25659 (2022) - [j16]Dongdong Wang, Yanze Wang
Efficient sampling of high-dimensional free energy landscapes using adaptive reinforced dynamics. Nat. Comput. Sci. 2(1): 20-29 (2022) - [j15]Linfeng Zhang
Self-Distillation: Towards Efficient and Compact Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4388-4403 (2022) - [j14]Xiaolong Ma
Non-Structured DNN Weight Pruning - Is It Beneficial in Any Platform? IEEE Trans. Neural Networks Learn. Syst. 33(9): 4930-4944 (2022) - [c27]Linfeng Zhang, Xin Chen, Xiaobing Tu, Pengfei Wan, Ning Xu, Kaisheng Ma:
Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation. CVPR 2022: 12454-12464 - [c26]Linfeng Zhang, Xin Chen
Contrastive Deep Supervision. ECCV (26) 2022: 1-19 - [c25]Runpei Dong
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks. ICML 2022: 5343-5359 - [c24]Zhuoqiang Guo
Extending the limit of molecular dynamics with ab initio accuracy to 10 billion atoms. PPoPP 2022: 205-218 - [i29]Zhuoqiang Guo, Denghui Lu, Yujin Yan, Siyu Hu, Rongrong Liu, Guangming Tan, Ninghui Sun, Wanrun Jiang, Lijun Liu, Yixiao Chen, Linfeng Zhang, Mohan Chen, Han Wang, Weile Jia:
Extending the limit of molecular dynamics with ab initio accuracy to 10 billion atoms. CoRR abs/2201.01446 (2022) - [i28]Hao Xie, Linfeng Zhang, Lei Wang:
m* of two-dimensional electron gas: a neural canonical transformation study. CoRR abs/2201.03156 (2022) - [i27]Linfeng Zhang, Xin Chen, Xiaobing Tu, Pengfei Wan, Ning Xu, Kaisheng Ma:
Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation. CoRR abs/2203.06321 (2022) - [i26]Wing Fung Chong, Runhuan Feng, Hins Hu, Linfeng Zhang:
Cyber Risk Assessment for Capital Management. CoRR abs/2205.08435 (2022) - [i25]Linfeng Zhang, Runpei Dong, Hung-Shuo Tai, Kaisheng Ma:
PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection. CoRR abs/2205.11098 (2022) - [i24]Linfeng Zhang, Xin Chen, Runpei Dong, Kaisheng Ma:
Region-aware Knowledge Distillation for Efficient Image-to-Image Translation. CoRR abs/2205.12451 (2022) - [i23]Wenfei Li, Qi Ou, Yixiao Chen, Yu Cao, Renxi Liu, Chunyi Zhang, Daye Zheng, Chun Cai, Xifan Wu, Han Wang, Mohan Chen, Linfeng Zhang:
DeePKS+ABACUS as a Bridge between Expensive Quantum Mechanical Models and Machine Learning Potentials. CoRR abs/2206.10093 (2022) - [i22]Linfeng Zhang, Xin Chen, Junbo Zhang, Runpei Dong, Kaisheng Ma:
Contrastive Deep Supervision. CoRR abs/2207.05306 (2022) - [i21]Duo Zhang, Hangrui Bi, Fu-Zhi Dai, Wanrun Jiang
DPA-1: Pretraining of Attention-based Deep Potential Model for Molecular Simulation. CoRR abs/2208.08236 (2022) - [i20]Hao Xie, Zi-Hang Li, Han Wang, Linfeng Zhang, Lei Wang:
A deep variational free energy approach to dense hydrogen. CoRR abs/2209.06095 (2022) - [i19]Linfeng Zhang, Yukang Shi, Hung-Shuo Tai, Zhipeng Zhang, Yuan He, Ke Wang, Kaisheng Ma:
Structured Knowledge Distillation Towards Efficient and Compact Multi-View 3D Detection. CoRR abs/2211.08398 (2022) - [i18]Runpei Dong, Zekun Qi, Linfeng Zhang, Junbo Zhang, Jianjian Sun, Zheng Ge, Li Yi, Kaisheng Ma:
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning? CoRR abs/2212.08320 (2022) - 2021
- [j13]Denghui Lu
86 PFLOPS Deep Potential Molecular Dynamics simulation of 100 million atoms with ab initio accuracy. Comput. Phys. Commun. 259: 107624 (2021) - [j12]Leonardo Zepeda-Núñez
Deep Density: Circumventing the Kohn-Sham equations via symmetry preserving neural networks. J. Comput. Phys. 443: 110523 (2021) - [j11]Jay P. Kesan, Linfeng Zhang
An Empirical Investigation of the Relationship between Local Government Budgets, IT Expenditures, and Cyber Losses. IEEE Trans. Emerg. Top. Comput. 9(2): 582-596 (2021) - [c23]Linfeng Zhang, Kaisheng Ma
Improve Object Detection with Feature-based Knowledge Distillation: Towards Accurate and Efficient Detectors. ICLR 2021 - [c22]Linfeng Zhang, Xiaoman Zhang, Chenglong Bao, Kaisheng Ma
Wavelet J-Net: A Frequency Perspective on Convolutional Neural Networks. IJCNN 2021: 1-8 - [c21]Zimo Liao, Zhicheng Luo, Qianyi Huang, Linfeng Zhang, Fan Wu, Qian Zhang, Yi Wang:
SMART: screen-based gesture recognition on commodity mobile devices. MobiCom 2021: 283-295 - [c20]Zimo Liao, Zhicheng Luo, Qianyi Huang, Linfeng Zhang, Fan Wu, Qian Zhang, Yi Wang, Guihai Chen:
SMART: screen-based gesture recognition on commodity mobile devices. MobiCom 2021: 871-873 - [i17]Hao Xie, Linfeng Zhang, Lei Wang:
Ab-initio study of interacting fermions at finite temperature with neural canonical transformation. CoRR abs/2105.08644 (2021) - [i16]Runpei Dong, Zhanhong Tan, Mengdi Wu, Linfeng Zhang, Kaisheng Ma:
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks. CoRR abs/2112.15139 (2021) - 2020
- [j10]Yuzhi Zhang
DP-GEN: A concurrent learning platform for the generation of reliable deep learning based potential energy models. Comput. Phys. Commun. 253: 107206 (2020) - [j9]Jay P. Kesan, Linfeng Zhang
Analysis of Cyber Incident Categories Based on Losses. ACM Trans. Manag. Inf. Syst. 11(4): 25:1-25:28 (2020) - [j8]Yuni Lai
Fine-grained emotion classification of Chinese microblogs based on graph convolution networks. World Wide Web 23(5): 2771-2787 (2020) - [c19]Linfeng Zhang, Muzhou Yu, Tong Chen, Zuoqiang Shi, Chenglong Bao, Kaisheng Ma
Auxiliary Training: Towards Accurate and Robust Models. CVPR 2020: 369-378 - [c18]Linfeng Zhang, Yukang Shi, Zuoqiang Shi, Kaisheng Ma
Task-Oriented Feature Distillation. NeurIPS 2020 - [c17]Weile Jia, Han Wang, Mohan Chen, Denghui Lu, Lin Lin, Roberto Car, Weinan E, Linfeng Zhang:
Pushing the limit of molecular dynamics with ab initio accuracy to 100 million atoms with machine learning. SC 2020: 5 - [i15]Denghui Lu, Han Wang, Mohan Chen, Jiduan Liu, Lin Lin, Roberto Car, Weinan E, Weile Jia, Linfeng Zhang:
86 PFLOPS Deep Potential Molecular Dynamics simulation of 100 million atoms with ab initio accuracy. CoRR abs/2004.11658 (2020) - [i14]Weinan E, Jiequn Han, Linfeng Zhang:
Integrating Machine Learning with Physics-Based Modeling. CoRR abs/2006.02619 (2020) - [i13]Yixiao Chen, Linfeng Zhang, Han Wang, Weinan E:
DeePKS: a comprehensive data-driven approach towards chemically accurate density functional theory. CoRR abs/2008.00167 (2020)
2010 – 2019
- 2019
- [j7]Linfeng Zhang
Junction Conditions for Hamilton-Jacobi Equations for Solving Real-Time Traffic Flow Problems. IEEE Access 7: 114334-114348 (2019) - [j6]Jiequn Han
Solving many-electron Schrödinger equation using deep neural networks. J. Comput. Phys. 399 (2019) - [j5]Jiachen Yang
Prediction of Marine Pycnocline Based on Kernel Support Vector Machine and Convex Optimization Technology. Sensors 19(7): 1562 (2019) - [c16]Linfeng Zhang, Jiebo Song, Anni Gao, Jingwei Chen, Chenglong Bao, Kaisheng Ma
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation. ICCV 2019: 3712-3721 - [c15]Linfeng Zhang, Zhanhong Tan, Jiebo Song, Jingwei Chen, Chenglong Bao, Kaisheng Ma
SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models. NeurIPS 2019: 4029-4038 - [i12]Linfeng Zhang, Jiebo Song, Anni Gao, Jingwei Chen, Chenglong Bao, Kaisheng Ma:
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation. CoRR abs/1905.08094 (2019) - [i11]Linfeng Zhang, Zhanhong Tan, Jiebo Song, Jingwei Chen, Chenglong Bao, Kaisheng Ma:
SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models. CoRR abs/1906.03951 (2019) - [i10]Yanzhi Wang, Shaokai Ye, Zhezhi He, Xiaolong Ma, Linfeng Zhang, Sheng Lin, Geng Yuan, Sia Huat Tan, Zhengang Li, Deliang Fan, Xuehai Qian, Xue Lin, Kaisheng Ma:
Non-structured DNN Weight Pruning Considered Harmful. CoRR abs/1907.02124 (2019) - [i9]Shuo-Hui Li, Chen-Xiao Dong, Linfeng Zhang, Lei Wang:
Neural Canonical Transformation with Symplectic Flows. CoRR abs/1910.00024 (2019) - [i8]Leonardo Zepeda-Núñez, Yixiao Chen, Jiefu Zhang, Weile Jia, Linfeng Zhang, Lin Lin:
Deep Density: circumventing the Kohn-Sham equations via symmetry preserving neural networks. CoRR abs/1912.00775 (2019) - [i7]Jiequn Han, Yingzhou Li, Lin Lin, Jianfeng Lu, Jiefu Zhang, Linfeng Zhang:
Universal approximation of symmetric and anti-symmetric functions. CoRR abs/1912.01765 (2019) - [i6]Yuni Lai, Linfeng Zhang, Donghong Han, Rui Zhou, Guoren Wang:
Fine-Grained Emotion Classification of Chinese Microblogs Based on Graph Convolution Networks. CoRR abs/1912.02545 (2019) - 2018
- [j4]Han Wang, Linfeng Zhang
DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics. Comput. Phys. Commun. 228: 178-184 (2018) - [j3]Zhilu Yuan, Hongfei Jia, Linfeng Zhang
A social force evacuation model considering the effect of emergency signs. Simul. 94(8): 723-737 (2018) - [c14]Linfeng Zhang, Jiequn Han, Han Wang, Wissam Saidi, Roberto Car, Weinan E:
End-to-end Symmetry Preserving Inter-atomic Potential Energy Model for Finite and Extended Systems. NeurIPS 2018: 4441-4451 - [i5]Linfeng Zhang, Weinan E, Lei Wang:
Monge-Ampère Flow for Generative Modeling. CoRR abs/1809.10188 (2018) - [i4]Linfeng Zhang, De-Ye Lin, Han Wang, Roberto Car, Weinan E:
Active Learning of Uniformly Accurate Inter-atomic Potentials for Materials Simulation. CoRR abs/1810.11890 (2018) - 2017
- [j2]Zhilu Yuan
Simulation model of self-organizing pedestrian movement considering following behavior. Frontiers Inf. Technol. Electron. Eng. 18(8): 1142-1150 (2017) - [c13]Linfeng Zhang, Xingguo Xiong:
Optimization of the Power Flow in a Smart Home. REV 2017: 721-730 - [i3]Linfeng Zhang, Jiequn Han, Han Wang, Roberto Car, Weinan E:
Deep Potential Molecular Dynamics: a scalable model with the accuracy of quantum mechanics. CoRR abs/1707.09571 (2017) - [i2]Linfeng Zhang, Han Wang, Weinan E:
Reinforced dynamics for enhanced sampling in large atomic and molecular systems. I. Basic Methodology. CoRR abs/1712.03461 (2017) - [i1]Han Wang, Linfeng Zhang, Jiequn Han, Weinan E:
DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics. CoRR abs/1712.03641 (2017) - 2010
- [c12]Yang Liu, Linfeng Zhang, Yong Guan:
Sketch-Based Streaming PCA Algorithm for Network-Wide Traffic Anomaly Detection. ICDCS 2010: 807-816
2000 – 2009
- 2009
- [j1]Yang Liu, Linfeng Zhang, Yong Guan:
A distributed data streaming algorithm for network-wide traffic anomaly detection. SIGMETRICS Perform. Evaluation Rev. 37(2): 81-82 (2009) - [c11]Yanlin Peng, Linfeng Zhang, J. Morris Chang, Yong Guan:
An Effective Method for Combating Malicious Scripts Clickbots. ESORICS 2009: 523-538 - [c10]Yanlin Peng, Linfeng Zhang, Yong Guan:
Detecting Fraud in Internet Auction Systems. IFIP Int. Conf. Digital Forensics 2009: 187-198 - 2008
- [c9]Linqiang Chen, Jianping Han, Linfeng Zhang:
Video Segmentation Algorithm in Virtual Advertisement System. CW 2008: 735-740 - [c8]Linfeng Zhang, Yong Guan:
Detecting Click Fraud in Pay-Per-Click Streams of Online Advertising Networks. ICDCS 2008: 77-84 - [c7]Linfeng Zhang, Yong Guan:
Frequency Estimation over Sliding Windows. ICDE 2008: 1385-1387 - 2007
- [c6]Linfeng Zhang, Erik McCullen, Lajos Rimai, K. Y. Simon Ng
The sensing mechanism and the response simulation of the MIS hydrogen sensor. SCSS (1) 2007: 268-272 - [c5]Linfeng Zhang, Yong Guan:
Variance estimation over sliding windows. PODS 2007: 225-232 - [c4]Linfeng Zhang, Fei Yu, Yue Shen, Guiping Liao, Ken Chen:
E-learning System Based on Neural Networks. World Congress on Engineering 2007: 227-231 - 2006
- [c3]Linfeng Zhang, Anthony G. Persaud, Alan Johnson, Yong Guan:
Detection of stepping stone attack under delay and chaff perturbations. IPCCC 2006 - [c2]Linfeng Zhang, Yong Guan:
TOPO: A Topology-aware Single Packet Attack Traceback Scheme. SecureComm 2006: 1-10 - [c1]Jianqiang Xin, Linfeng Zhang, Brad Aswegan, John Dickerson, Julie A. Dickerson, Thomas E. Daniels, Yong Guan:
A testbed for evaluation and analysis of stepping stone attack attribution techniques. TRIDENTCOM 2006
Coauthor Index
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