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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j15]Lintao Zhang
, Lihong Wang, Minhui Yu, Rong Wu, David C. Steffens, Guy G. Potter, Mingxia Liu:
Hybrid representation learning for cognitive diagnosis in late-life depression over 5 years with structural MRI. Medical Image Anal. 94: 103135 (2024)- [c64]Guoqin Yu, Ze Xu, Rong Yan, Lintao Zhang:
CSGTM: Capsule Semantic Graph-Guided Latent Community Topics Discovery. APWeb/WAIM (3) 2024: 292-307 - [c63]Lintao Zhang, Xiangcheng Du, LeoWu TomyEnrique, Yiqun Wang, Yingbin Zheng, Cheng Jin:
Minutes to Seconds: Speeded-up DDPM-based Image Inpainting with Coarse-to-Fine Sampling. ICME 2024: 1-6 - [c62]Zhiqi Lin, Youshan Miao, Quanlu Zhang, Fan Yang, Yi Zhu, Cheng Li, Saeed Maleki, Xu Cao, Ning Shang, Yilei Yang, Weijiang Xu, Mao Yang, Lintao Zhang, Lidong Zhou:
nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training. OSDI 2024: 347-363 - [i12]Mengqi Wu, Lintao Zhang, Pew-Thian Yap, Hongtu Zhu, Mingxia Liu:
Disentangled Latent Energy-Based Style Translation: An Image-Level Structural MRI Harmonization Framework. CoRR abs/2402.06875 (2024) - [i11]Lintao Zhang, Mengqi Wu, Lihong Wang, David C. Steffens, Guy G. Potter, Mingxia Liu:
Iterative Learning for Joint Image Denoising and Motion Artifact Correction of 3D Brain MRI. CoRR abs/2403.08162 (2024) - [i10]Lintao Zhang, Xiangcheng Du, LeoWu TomyEnrique, Yiqun Wang, Yingbin Zheng, Cheng Jin:
Minutes to Seconds: Speeded-up DDPM-based Image Inpainting with Coarse-to-Fine Sampling. CoRR abs/2407.05875 (2024) - 2023
- [j14]Juhua Wang, Jianhua Zhang, Quan Zhou, Lintao Zhang:
Full-Length Row-Multiplier QC-LDPC Codes With Girth Eight and Short Circulant Sizes. IEEE Access 11: 22250-22265 (2023) - [j13]Yuanyu Wang, Lintao Zhang, Chi Wei, Yuliang Tang:
Joint optimization of resource allocation and computation offloading based on game coalition in C-V2X. Ad Hoc Networks 150: 103266 (2023) - [j12]Ziyi Zhang, Rong Yan, Wei Yuan, Lintao Zhang:
Influential Spreaders Identification by Fusing Network Topology. Int. J. Softw. Eng. Knowl. Eng. 33(11&12): 1701-1724 (2023) - [j11]Meng Li, Shunbo Hu, Guoqiang Li, Fuchun Zhang, Jitao Li, Yue Yang, Lintao Zhang, Mingtao Liu, Yan Xu, Deqian Fu, Wenyin Zhang, Xing Wang:
The Successive Next Network as Augmented Regularization for Deformable Brain MR Image Registration. Sensors 23(6): 3208 (2023) - [j10]Yanglong Sun, Lintao Zhang, Yuliang Tang, Jianxin Zhang:
PASS: power allocation and SIC order selection of cache-aided NOMA in vehicular networks. Wirel. Networks 29(1): 173-187 (2023) - [c61]Hanyu Zhao, Zhenhua Han, Zhi Yang, Quanlu Zhang, Mingxia Li, Fan Yang, Qianxi Zhang, Binyang Li, Yuqing Yang, Lili Qiu, Lintao Zhang, Lidong Zhou:
SiloD: A Co-design of Caching and Scheduling for Deep Learning Clusters. EuroSys 2023: 883-898 - [c60]Lintao Zhang, Jinjian Wu, Lihong Wang, Li Wang, David C. Steffens, Shijun Qiu, Guy G. Potter, Mingxia Liu:
Brain Anatomy-Guided MRI Analysis for Assessing Clinical Progression of Cognitive Impairment with Structural MRI. MICCAI (8) 2023: 109-119 - [c59]Mengqi Wu, Lintao Zhang, Pew-Thian Yap, Weili Lin, Hongtu Zhu, Mingxia Liu:
Structural MRI Harmonization via Disentangled Latent Energy-Based Style Translation. MLMI@MICCAI (1) 2023: 1-11 - [i9]Zhiqi Lin, Youshan Miao, Guodong Liu, Xiaoxiang Shi, Quanlu Zhang, Fan Yang, Saeed Maleki, Yi Zhu, Xu Cao, Cheng Li, Mao Yang, Lintao Zhang, Lidong Zhou:
SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction. CoRR abs/2301.08984 (2023) - [i8]Hong Wang, Yuanzhi Zhou, Chi Zhang, Chen Peng, Mingxia Huang, Yi Liu, Lintao Zhang:
XFL: A High Performace, Lightweighted Federated Learning Framework. CoRR abs/2302.05076 (2023) - [i7]Lintao Zhang, Jinjian Wu, Lihong Wang, Li Wang, David C. Steffens, Shijun Qiu, Guy G. Potter, Mingxia Liu:
Brain Anatomy Prior Modeling to Forecast Clinical Progression of Cognitive Impairment with Structural MRI. CoRR abs/2306.11837 (2023) - 2022
- [j9]Lintao Zhang, Juhua Wang:
Construction of QC-LDPC Codes from Sidon Sequence Using Permutation and Segmentation. IEEE Commun. Lett. 26(8): 1710-1714 (2022) - [j8]Taekyung Heo, Yang Wang, Wei Cui, Jaehyuk Huh, Lintao Zhang:
Adaptive Page Migration Policy With Huge Pages in Tiered Memory Systems. IEEE Trans. Computers 71(1): 53-68 (2022) - [c58]Lintao Zhang, Minhui Yu, Lihong Wang, David C. Steffens, Rong Wu, Guy G. Potter, Mingxia Liu:
Understanding Clinical Progression of Late-Life Depression to Alzheimer's Disease Over 5 Years with Structural MRI. MLMI@MICCAI 2022: 259-268 - [c57]Mengzhu Yang, Yongfang Wang, Guoqiang Li, Lintao Zhang, Dong Zhu, Chengchao Wang:
SU-Net: A retinal segmentation model based on improved U-Net network. RICAI 2022: 946-950 - [c56]Mengjie Zhu, Xiancong Zhang, Lintao Zhang, Guoqiang Li, Shunbo Hu, Yongfang Wang, Lei Wang:
TST-network: A two-stage mutually reinforcing deep learning network for brain MR registration. RICAI 2022: 951-956 - [c55]Lintao Zhang, Caijin Zhao, Yuanyu Wang, Yuliang Tang, Bo Yang:
Dependency-aware Task Scheduling and Cache Placement in Vehicular Networks. VTC Spring 2022: 1-5 - [i6]Lintao Zhang, Lihong Wang, Minhui Yu, Rong Wu, David C. Steffens, Guy G. Potter, Mingxia Liu:
Hybrid Representation Learning for Cognitive Diagnosis in Late-Life Depression Over 5 Years with Structural MRI. CoRR abs/2212.12810 (2022) - 2021
- [j7]Deqian Fu, Shunbo Hu, Lintao Zhang, Shuqing He, Jianlong Qiu:
An intelligent cloud computing of trunk logistics alliance based on blockchain and big data. J. Supercomput. 77(12): 13863-13878 (2021) - [c54]Xiaotian Gao, Wei Cui, Lintao Zhang, Mao Yang:
OpEvo: An Evolutionary Method for Tensor Operator Optimization. AAAI 2021: 12320-12327 - [c53]Yue Yang, Yuwen Wang, Jitao Li, Lintao Zhang, Shunbo Hu:
DWD-net: Cascaded local and global deep learning network for brain MR registration. CISP-BMEI 2021: 1-6 - [c52]Lintao Zhang, Caijin Zhao, Yanglong Sun, Yuliang Tang, Hao Zeng:
Resource Allocation of Cache-aided NOMA in 5G Vehicular Networks with Imperfect Channel Estimation. ICCC 2021: 1125-1130 - [c51]Zhuyue Yu, Yuliang Tang, Lintao Zhang, Hao Zeng:
Deep Reinforcement Learning Based Computing Offloading Decision and Task Scheduling in Internet of Vehicles. ICCC 2021: 1166-1171 - [c50]Hao Zeng, Lintao Zhang, Yuliang Tang, Yanglong Sun, Yuqi Ruan:
Intelligent Resource Allocation Based on Reinforcement Learning for NOMA Vehicular Cooperative Communication Networks. ICCSE 2021: 622-627 - [c49]Bojie Li, Gefei Zuo, Wei Bai, Lintao Zhang:
1Pipe: scalable total order communication in data center networks. SIGCOMM 2021: 78-92 - [c48]Jianxin Zhang, Xuanzhi Chen, Yanglong Sun, Yuliang Tang, Lintao Zhang:
Reservation based Resource Allocation Scheme for Internet of Vehicles. VTC Spring 2021: 1-5 - [c47]Lintao Zhang, Yanglong Sun, Yuliang Tang, Hao Zeng, Yuqi Ruan:
Joint Offloading Decision and Resource Allocation in MEC-enabled Vehicular Networks. VTC Spring 2021: 1-5 - [c46]Ziyan Luo, Linfeng Zhao, Wei Cheng, Sihao Chen, Qi Chen, Hui Xue, Haidong Wang, Chuanjie Liu, Mao Yang, Lintao Zhang:
Match Plan Generation in Web Search with Parameterized Action Reinforcement Learning. WWW 2021: 1040-1052 - [i5]Kai-Fung Chu, Lintao Zhang:
Privacy-Preserving Self-Taught Federated Learning for Heterogeneous Data. CoRR abs/2102.05883 (2021) - 2020
- [j6]Shunbo Hu, Lintao Zhang, Guoqiang Li, Mingtao Liu, Deqian Fu, Wenyin Zhang:
Brain Deformable Registration Using Global and Local Label-Driven Deep Regression Learning in the First Year of Life. IEEE Access 8: 25691-25705 (2020) - [c45]Lei Sha, Chen Shi, Qi Chen, Lintao Zhang, Houfeng Wang:
Estimating Minimum Operation Steps via Memory-based Recurrent Calculation Network. IJCNN 2020: 1-8 - [c44]Shunbo Hu, Lintao Zhang, Yan Xu, Dinggang Shen:
Label-Driven Brain Deformable Registration Using Structural Similarity and Nonoverlap Constraints. MLMI@MICCAI 2020: 210-219 - [c43]Lingxiao Ma, Zhiqiang Xie, Zhi Yang, Jilong Xue, Youshan Miao, Wei Cui, Wenxiang Hu, Fan Yang, Lintao Zhang, Lidong Zhou:
Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks. OSDI 2020: 881-897 - [i4]Xiaotian Gao, Cui Wei, Lintao Zhang, Mao Yang:
OpEvo: An Evolutionary Method for Tensor Operator Optimization. CoRR abs/2006.05664 (2020)
2010 – 2019
- 2019
- [j5]Shijie Cao, Lanshun Nie, De-chen Zhan, Wenqiang Wang, Ningyi Xu, Ramashis Das, Ming Wu, Lintao Zhang, Derek Chiou:
FlexSaaS: A Reconfigurable Accelerator for Web Search Selection. ACM Trans. Reconfigurable Technol. Syst. 12(1): 5:1-5:20 (2019) - [c42]Guoqiang Li, Lintao Zhang, Shunbo Hu, Deqian Fu, Mingtao Liu:
Adversarial Network with Dual U-net Model and Multiresolution Loss Computation for Medical Images Registration. CISP-BMEI 2019: 1-5 - [c41]Lintao Zhang, Guoqiang Li, Deqian Fu, Wenyin Zhang, Mingtao Liu, Shunbo Hu:
Non-Rigid Joint Registration for Multi-Contrast MR of Infant Brain Based on the Unsupervised Deep Regression Network. CISP-BMEI 2019: 1-5 - [c40]Shijie Cao, Lingxiao Ma, Wencong Xiao, Chen Zhang, Yunxin Liu, Lintao Zhang, Lanshun Nie, Zhi Yang:
SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization. CVPR 2019: 11216-11225 - [c39]Jilong Xue, Youshan Miao, Cheng Chen, Ming Wu, Lintao Zhang, Lidong Zhou:
Fast Distributed Deep Learning over RDMA. EuroSys 2019: 44:1-44:14 - [c38]Shijie Cao, Chen Zhang, Zhuliang Yao, Wencong Xiao, Lanshun Nie, De-chen Zhan, Yunxin Liu, Ming Wu, Lintao Zhang:
Efficient and Effective Sparse LSTM on FPGA with Bank-Balanced Sparsity. FPGA 2019: 63-72 - [c37]Shunbo Hu, Lintao Zhang, Guoqiang Li, Mingtao Liu, Deqian Fu, Wenyin Zhang:
Infant Brain Deformable Registration Using Global and Local Label-Driven Deep Regression Learning. MLMI@MICCAI 2019: 106-114 - [c36]Taegyeong Lee, Zhiqi Lin, Saumay Pushp, Caihua Li, Yunxin Liu, Youngki Lee, Fengyuan Xu, Chenren Xu, Lintao Zhang, Junehwa Song:
Occlumency: Privacy-preserving Remote Deep-learning Inference Using SGX. MobiCom 2019: 46:1-46:17 - [c35]Chen Shi, Qi Chen, Lei Sha, Hui Xue, Sujian Li, Lintao Zhang, Houfeng Wang:
We Know What You Will Ask: A Dialogue System for Multi-intent Switch and Prediction. NLPCC (1) 2019: 93-104 - [c34]Bojie Li, Tianyi Cui, Zibo Wang, Wei Bai, Lintao Zhang:
Socksdirect: datacenter sockets can be fast and compatible. SIGCOMM 2019: 90-103 - 2018
- [c33]Hongfu Liu, Ziming Huang, Qi Chen, Mingqin Li, Yun Fu, Lintao Zhang:
Fast Clustering with Flexible Balance Constraints. IEEE BigData 2018: 743-750 - [c32]Chen Shi, Qi Chen, Lei Sha, Sujian Li, Xu Sun, Houfeng Wang, Lintao Zhang:
Auto-Dialabel: Labeling Dialogue Data with Unsupervised Learning. EMNLP 2018: 684-689 - [c31]Zichuan Lin, Tianqi Zhao, Guangwen Yang, Lintao Zhang:
Episodic Memory Deep Q-Networks. IJCAI 2018: 2433-2439 - [c30]Luyang Liu, Ruiguang Zhong, Wuyang Zhang, Yunxin Liu, Jiansong Zhang, Lintao Zhang, Marco Gruteser:
Cutting the Cord: Designing a High-quality Untethered VR System with Low Latency Remote Rendering. MobiSys 2018: 68-80 - [i3]Zichuan Lin, Tianqi Zhao, Guangwen Yang, Lintao Zhang:
Episodic Memory Deep Q-Networks. CoRR abs/1805.07603 (2018) - [i2]Jilong Xue, Youshan Miao, Cheng Chen, Ming Wu, Lintao Zhang, Lidong Zhou:
RPC Considered Harmful: Fast Distributed Deep Learning on RDMA. CoRR abs/1805.08430 (2018) - 2017
- [j4]Lintao Zhang, An-Yuan Deng, Ian Cameron, Engang Wang, Johann Sienz:
Parametric investigation on an industrial electromagnetic continuous casting mould performance. J. Comput. Des. Eng. 4(4): 256-262 (2017) - [c29]Ruiguang Zhong, Manni Wang, Zijian Chen, Luyang Liu, Yunxin Liu, Jiansong Zhang, Lintao Zhang, Thomas Moscibroda:
On Building a Programmable Wireless High-Quality Virtual Reality System Using Commodity Hardware. APSys 2017: 7:1-7:7 - [c28]Bojie Li, Zhenyuan Ruan, Wencong Xiao, Yuanwei Lu, Yongqiang Xiong, Andrew Putnam, Enhong Chen, Lintao Zhang:
KV-Direct: High-Performance In-Memory Key-Value Store with Programmable NIC. SOSP 2017: 137-152 - 2015
- [c27]Quanlu Zhang, Yafei Dai, Lintao Zhang:
DSwitch: a dual mode direct and network attached disk. SoCC 2015: 71-83 - [c26]Quanlu Zhang, Yafei Dai, Fengqian Li, Lintao Zhang:
UStore: A Low Cost Cold and Archival Data Storage System for Data Centers. ICDCS 2015: 431-441 - 2013
- [c25]Chuntao Hong, Dong Zhou, Mao Yang, Carbo Kuo, Lintao Zhang, Lidong Zhou:
KuaFu: Closing the parallelism gap in database replication. ICDE 2013: 1186-1195 - 2011
- [c24]Jinghao Shi, Mingyuan Xia, Ming Wu, Lintao Zhang, Zheng Zhang:
SLIM: Mmap from the cloud to device, and back. APSys 2011: 16 - [c23]Huayang Guo, Ming Wu, Lidong Zhou, Gang Hu, Junfeng Yang, Lintao Zhang:
Practical software model checking via dynamic interface reduction. SOSP 2011: 265-278
2000 – 2009
- 2009
- [j3]Sharad Malik, Lintao Zhang:
Boolean satisfiability from theoretical hardness to practical success. Commun. ACM 52(8): 76-82 (2009) - [c22]Junfeng Yang, Tisheng Chen, Ming Wu, Zhilei Xu, Xuezheng Liu, Haoxiang Lin, Mao Yang, Fan Long, Lintao Zhang, Lidong Zhou:
MODIST: Transparent Model Checking of Unmodified Distributed Systems. NSDI 2009: 213-228 - 2008
- [j2]Manuel Costa, Jon Crowcroft, Miguel Castro, Antony I. T. Rowstron, Lidong Zhou, Lintao Zhang, Paul Barham:
Vigilante: End-to-end containment of Internet worm epidemics. ACM Trans. Comput. Syst. 26(4): 9:1-9:68 (2008) - [c21]John D. Davis, Zhangxi Tan, Fang Yu, Lintao Zhang:
A practical reconfigurable hardware accelerator for Boolean satisfiability solvers. DAC 2008: 780-785 - [c20]John D. Davis, Zhangxi Tan, Fang Yu, Lintao Zhang:
Designing an Efficient Hardware Implication Accelerator for SAT Solving. SAT 2008: 48-62 - 2007
- [c19]Lucas Bordeaux, Lintao Zhang:
A solver for quantified Boolean and linear constraints. SAC 2007: 321-325 - [c18]Manuel Costa, Miguel Castro, Lidong Zhou, Lintao Zhang, Marcus Peinado:
Bouncer: securing software by blocking bad input. SOSP 2007: 117-130 - 2006
- [j1]Lucas Bordeaux, Youssef Hamadi, Lintao Zhang:
Propositional Satisfiability and Constraint Programming: A comparative survey. ACM Comput. Surv. 38(4): 12 (2006) - [c17]Lintao Zhang:
Solving QBF by Combining Conjunctive and Disjunctive Normal Forms. AAAI 2006: 143-150 - [c16]Ilya Mironov, Lintao Zhang:
Applications of SAT Solvers to Cryptanalysis of Hash Functions. SAT 2006: 102-115 - [i1]Ilya Mironov, Lintao Zhang:
Applications of SAT Solvers to Cryptanalysis of Hash Functions. IACR Cryptol. ePrint Arch. 2006: 254 (2006) - 2005
- [c15]Lidong Zhou, Lintao Zhang, Frank McSherry, Nicole Immorlica, Manuel Costa, Steve Chien:
A First Look at Peer-to-Peer Worms: Threats and Defenses. IPTPS 2005: 24-35 - [c14]Darko Marinov, Sarfraz Khurshid, Suhabe Bugrara, Lintao Zhang, Martin C. Rinard:
Optimizations for Compiling Declarative Models into Boolean Formulas. SAT 2005: 187-202 - [c13]Lintao Zhang:
On Subsumption Removal and On-the-Fly CNF Simplification. SAT 2005: 482-489 - [c12]Manuel Costa, Jon Crowcroft, Miguel Castro, Antony I. T. Rowstron, Lidong Zhou, Lintao Zhang, Paul Barham:
Vigilante: end-to-end containment of internet worms. SOSP 2005: 133-147 - 2004
- [c11]Thomas Ball, Byron Cook, Shuvendu K. Lahiri, Lintao Zhang:
Zapato: Automatic Theorem Proving for Predicate Abstraction Refinement. CAV 2004: 457-461 - 2003
- [c10]Lintao Zhang, Sharad Malik:
Validating SAT Solvers Using an Independent Resolution-Based Checker: Practical Implementations and Other Applications. DATE 2003: 10880-10885 - [c9]Lintao Zhang, Sharad Malik:
Cache Performance of SAT Solvers: a Case Study for Efficient Implementation of Algorithms. SAT 2003: 287-298 - 2002
- [c8]Lintao Zhang, Sharad Malik:
The Quest for Efficient Boolean Satisfiability Solvers. CADE 2002: 295-313 - [c7]Lintao Zhang, Sharad Malik:
The Quest for Efficient Boolean Satisfiability Solvers. CAV 2002: 17-36 - [c6]Lintao Zhang, Sharad Malik:
Towards a Symmetric Treatment of Satisfaction and Conflicts in Quantified Boolean Formula Evaluation. CP 2002: 200-215 - [c5]Malay K. Ganai, Pranav Ashar, Aarti Gupta, Lintao Zhang, Sharad Malik:
Combining strengths of circuit-based and CNF-based algorithms for a high-performance SAT solver. DAC 2002: 747-750 - [c4]Lintao Zhang, Sharad Malik:
Conflict driven learning in a quantified Boolean Satisfiability solver. ICCAD 2002: 442-449 - 2001
- [c3]Matthew W. Moskewicz, Conor F. Madigan, Ying Zhao, Lintao Zhang, Sharad Malik:
Chaff: Engineering an Efficient SAT Solver. DAC 2001: 530-535 - [c2]Lintao Zhang, Conor F. Madigan, Matthew W. Moskewicz, Sharad Malik:
Efficient Conflict Driven Learning in Boolean Satisfiability Solver. ICCAD 2001: 279-285 - [c1]Aarti Gupta, Zijiang Yang, Pranav Ashar, Lintao Zhang, Sharad Malik:
Partition-Based Decision Heuristics for Image Computation Using SAT and BDDs. ICCAD 2001: 286-292
Coauthor Index
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