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Hai Lan

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Journal Articles

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2023
[j11]
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Hai Lan, Zhifeng Bao, J. Shane Culpepper, Renata Borovica-Gajic:
Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices. Proc. ACM Manag. Data 1(2): 139:1-139:22 (2023)
[j10]
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Song Wang, Hai Lan, Yuwei Peng, Zhiyong Peng:
Consolidating Industrial Small Files Using Robust Graph Clustering. IEEE Trans. Netw. Sci. Eng. 10(5): 2814-2831 (2023)
2022
[j9]
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Juntao Zhang, Hai Lan, Xiandi Yang, Shuaichao Zhang, Wei Song, Zhiyong Peng:
Weakly supervised setting for learning concept prerequisite relations using multi-head attention variational graph auto-encoders. Knowl. Based Syst. 247: 108689 (2022)
[j8]
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Hai Lan, Jiong Xie, Zhifeng Bao, Feifei Li, Wei Tian, Fang Wang, Sheng Wang, Ailin Zhang:
VRE: A Versatile, Robust, and Economical Trajectory Data System. Proc. VLDB Endow. 15(12): 3398-3410 (2022)
[j7]
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Hai Lan, Yuanjia Zhang, Zhifeng Bao, Yu Dong, Dongxu Huang, Liu Tang, Jian Zhang:
AutoDI: Towards an Automatic Plan Regression Analysis. Proc. VLDB Endow. 15(12): 3626-3629 (2022)
2021
[j6]
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Hai Lan, Zhifeng Bao, Yuwei Peng:
A Survey on Advancing the DBMS Query Optimizer: Cardinality Estimation, Cost Model, and Plan Enumeration. Data Sci. Eng. 6(1): 86-101 (2021)
2019
[j5]
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Rui Min, Hai Lan, Zongjie Cao, Zongyong Cui:
A Gradually Distilled CNN for SAR Target Recognition. IEEE Access 7: 42190-42200 (2019)
2018
[j4]
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Yuwei Peng, Hai Lan, MingLiang Yue, Yu Xue:
Multipurpose watermarking for vector map protection and authentication. Multim. Tools Appl. 77(6): 7239-7259 (2018)
2012
[j3]
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  - journals/jssc/AmirkhanyWMSBCCDHGHKLLMMMRSSSSFSWTVVYJCY12
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Amir Amirkhany, Jason Wei, Navin K. Mishra, Jie Shen, Wendemagegnehu T. Beyene, Catherine Chen, T. J. Chin, Deborah Dressler, Charlie Huang, Vijay P. Gadde, Mohammad Hekmat, Kambiz Kaviani, Hai Lan, Phuong Le, Mahabaleshwara, Chris J. Madden, Sanku Mukherjee, Leneesh Raghavan, Keisuke Saito, Dave Secker, Arul Sendhil, Ralf Schmitt, H. Md. Shuaeb Fazeel, Gundlapalli Shanmukha Srinivas, Ting Wu, Chanh Tran, Arun Vaidyanath, Kapil Vyas, Ling Yang, Manish Jain, Kun-Yung Ken Chang, Xingchao Yuan:
A 12.8-Gb/s/link Tri-Modal Single-Ended Memory Interface. IEEE J. Solid State Circuits 47(4): 911-925 (2012)
2010
[j2]
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Hai Lan, Barry L. Nelson, Jeremy Staum:
A Confidence Interval Procedure for Expected Shortfall Risk Measurement via Two-Level Simulation. Oper. Res. 58(5): 1481-1490 (2010)
2006
[j1]
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Hai Lan, Tze Wee Chen, Chi On Chui, Parastoo Nikaeen, Jae Wook Kim, Robert W. Dutton:
Synthesized Compact Models and Experimental Verifications for Substrate Noise Coupling in Mixed-Signal ICs. IEEE J. Solid State Circuits 41(8): 1817-1829 (2006)

Conference and Workshop Papers

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2024
[c19]
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Hai Lan, Zhifeng Bao, J. Shane Culpepper, Renata Borovica-Gajic, Yu Dong:
A Fully On-Disk Updatable Learned Index. ICDE 2024: 4856-4869
2023
[c18]
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  - conf/adc/LanZDHTZ23
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Hai Lan, Yuanjia Zhang, Yu Dong, Dongxu Huang, Liu Tang, Jian Zhang:
Why Query Plans Are Different: An Automatic Detection and Inference System. ADC 2023: 213-226
[c17]
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Hai Lan:
Research of Network Intrusion Detection Based on Improved Seagull Optimization Algorithm with Deep Learning. ICCSE (1) 2023: 100-112
[c16]
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Xihao Wang, JiaMing Lei, Hai Lan, Arafat Al-Jawari, Xian Wei:
DuEqNet: Dual-Equivariance Network in Outdoor 3D Object Detection for Autonomous Driving. ICRA 2023: 6951-6957
[c15]
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Hai Lan, Xihao Wang, Hao Shen, Peidong Liang, Xian Wei:
Couplformer: Rethinking Vision Transformer with Coupling Attention. WACV 2023: 6464-6473
2022
[c14]
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Xian Wei, Yangyu Xu, Yanhui Huang, Hairong Lv, Hai Lan, Mingsong Chen, Xuan Tang:
Learning Extremely Lightweight and Robust Model with Differentiable Constraints on Sparsity and Condition Number. ECCV (4) 2022: 690-707
[c13]
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Ruiye Li, Peng Cheng, Hai Lan, Yige Ren, Yingyi Hong:
Analytic Guided Magnetic-Thermal Kriging Surrogate Model and Multi-Objective Optimization of Synchronous Generator. IECON 2022: 1-6
2020
[c12]
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Hai Lan, Zhifeng Bao, Yuwei Peng:
An Index Advisor Using Deep Reinforcement Learning. CIKM 2020: 2105-2108
2019
[c11]
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Nengyuan Liu, Zongyong Cui, Zongjie Cao, Yiming Pi, Hai Lan:
Scale-Transferrable Pyramid Network for Multi-Scale Ship Detection in Sar Images. IGARSS 2019: 1-4
[c10]
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Hai Lan, Zongyong Cui, Zongjie Cao, Yiming Pi, Zhengwu Xu:
SAR Target Recognition Via Micro Convolutional Neural Network. IGARSS 2019: 1176-1179
2018
[c9]
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Hai Lan, Xueyong Wei, Yulong Zhao, Zhuangde Jiang:
Study of Amplitude Saturation in T-Shape MEMS Resonators. NEMS 2018: 102-105
2017
[c8]
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Hai Lan, Yuwei Peng:
Reversible Fragile Watermarking for Fine-Grained Tamper Localization in Spatial Data. ADC 2017: 233-247
2016
[c7]
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Ling Wang, Hong Cheng, Hai Lan, Yingjie Zheng, Kainan Li:
Automatic recognition of pertrochanteric bone fractures in femur using level sets. EMBC 2016: 3851-3854
[c6]
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Yichun Xie, Hai Lan:
New Prospects of Network-Based Urban Cellular Automata. ICCSA (3) 2016: 70-84
2008
[c5]
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  - conf/isqed/LanSY08
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Hai Lan, Ralf Schmitt, Chuck Yuan:
Simulation and Measurement of On-Chip Supply Noise in Multi-Gigabit I/O Interfaces. ISQED 2008: 670-675
2007
[c4]
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Hai Lan, Barry L. Nelson, Jeremy Staum:
A confidence interval for tail conditional expectation via two-level simulation. WSC 2007: 949-957
2005
[c3]
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Hai Lan, Tze Wee Chen, Chi On Chui, Parastoo Nikaeen, Jae Wook Kim, Robert W. Dutton:
Synthesized compact model and experimental results for substrate noise coupling in lightly doped processes. CICC 2005: 469-472
2004
[c2]
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Hai Lan, Robert W. Dutton:
Synthesized Compact Models (SCM) of Substrate Noise Coupling Analysis and Synthesis in Mixed-Signal ICs. DATE 2004: 836-843
2003
[c1]
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Hai Lan, Zhiping Yu, Robert W. Dutton:
A CAD-Oriented Modeling Approach of Frequency-Dependent Behavior of Substrate Noise Coupling for Mixed-Signal IC Design. ISQED 2003: 195-200

Informal and Other Publications

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2023
[i9]
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  - journals/corr/abs-2302-13577
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Xihao Wang, JiaMing Lei, Hai Lan, Arafat Al-Jawari, Xian Wei:
DuEqNet: Dual-Equivariance Network in Outdoor 3D Object Detection for Autonomous Driving. CoRR abs/2302.13577 (2023)
[i8]
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  - journals/corr/abs-2305-01237
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Hai Lan, Zhifeng Bao, J. Shane Culpepper, Renata Borovica-Gajic:
Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices. CoRR abs/2305.01237 (2023)
[i7]
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  - journals/corr/abs-2306-02604
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Hai Lan, Zhifeng Bao, J. Shane Culpepper, Renata Borovica-Gajic, Yu Dong:
A Simple Yet High-Performing On-disk Learned Index: Can We Have Our Cake and Eat it Too? CoRR abs/2306.02604 (2023)
[i6]
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  - journals/corr/abs-2307-05392
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Hai Lan, Xian Wei:
Simplicial Message Passing for Chemical Property Prediction. CoRR abs/2307.05392 (2023)
2022
[i5]
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  - journals/corr/abs-2201-01410
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Xian Wei, Xihao Wang, Hai Lan, JiaMing Lei, Yanhui Huang, Hui Yu, Jian Yang:
Synthesizing Tensor Transformations for Visual Self-attention. CoRR abs/2201.01410 (2022)
2021
[i4]
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Hai Lan, Zhifeng Bao, Yuwei Peng:
A Survey on Advancing the DBMS Query Optimizer: Cardinality Estimation, Cost Model, and Plan Enumeration. CoRR abs/2101.01507 (2021)
[i3]
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  - journals/corr/abs-2112-05425
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Hai Lan, Xihao Wang, Xian Wei:
Couplformer: Rethinking Vision Transformer with Coupling Attention Map. CoRR abs/2112.05425 (2021)
[i2]
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  - journals/corr/abs-2112-13545
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Xian Wei, Bin Wang, Mingsong Chen, Ji Yuan, Hai Lan, Jiehuang Shi, Xuan Tang, Bo Jin, Guozhang Chen, Dongping Yang:
ViR: the Vision Reservoir. CoRR abs/2112.13545 (2021)
[i1]
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  - journals/corr/abs-2112-13551
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Xian Wei, Yanhui Huang, Yangyu Xu, Mingsong Chen, Hai Lan, Yuanxiang Li, Zhongfeng Wang, Xuan Tang:
Learning Robust and Lightweight Model through Separable Structured Transformations. CoRR abs/2112.13551 (2021)

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