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ORCIDWeijie Zhao 0001
Person information
- affiliation: Rochester Institute of Technology, Rochester, NY, USA
- affiliation: LinkedIn Ads
- affiliation (former): Baidu Research, Bellevue, WA, USA
- affiliation (former): University of California Merced, CA, USA
Other persons with the same name
- Weijie Zhao — disambiguation page
- Weijie Zhao 0002
![[0000-0002-6698-0641]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-6698-0641")
— University of New Mexico, NM, USA - Weijie Zhao 0003 — Versa Inc., Shanghai, China
- Weijie Zhao 0004 — Hangzhou Dianzi University, Hangzhou, China
- Weijie Zhao 0005 — Harbin Engineering University, Harbin, China
- Weijie Zhao 0006 — Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China
- Weijie Zhao 0007 — Dalian Maritime University, Department of Transportation Management, China
- Weijie Zhao 0008 — Central South University, School of Computer Science and Engineering, Changsha, China (and 1 more)
- Weijie Zhao 0009 — Shandong Technology and Business University, Yantai, China
- Weijie Zhao 0010 — Rochester Institute of Technology, NY, USA
- Weijie Zhao 0012 — Xinqiao Hospital, Department of Cardiovascular Surgery, Chongqing, China (and 1 more)
- Weijie Zhao 0013 — Southeast University, School of Physics, MOE Key Laboratory of MEMS, Nanjing, China
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2020 – today
- 2024
[c30]Huawei Lin, Jikai Long, Zhaozhuo Xu, Weijie Zhao:
Token-wise Influential Training Data Retrieval for Large Language Models. ACL (1) 2024: 841-860- [c29]Ping Li, Weijie Zhao:
Pb-Hash: Partitioned b-bit Hashing. ICTIR 2024: 239-246 - [c28]Weijie Zhao, Shulong Tan, Ping Li:
GUITAR: Gradient Pruning toward Fast Neural Ranking. SIGIR 2024: 163-173 - [i23]Huawei Lin, Jikai Long, Zhaozhuo Xu, Weijie Zhao:
Token-wise Influential Training Data Retrieval for Large Language Models. CoRR abs/2405.11724 (2024) - [i22]Duy C. Hoang, Hung T. Q. Le, Rui Chu, Ping Li, Weijie Zhao, Yingjie Lao, Khoa D. Doan:
Less is More: Sparse Watermarking in LLMs with Enhanced Text Quality. CoRR abs/2407.13803 (2024) - [i21]Huawei Lin, Yingjie Lao, Weijie Zhao:
DMin: Scalable Training Data Influence Estimation for Diffusion Models. CoRR abs/2412.08637 (2024) - 2023
- [c27]Huawei Lin, Jun Woo Chung, Yingjie Lao, Weijie Zhao:
Machine Unlearning in Gradient Boosting Decision Trees. KDD 2023: 1374-1383 - [c26]Khoa D. Doan, Shulong Tan, Weijie Zhao, Ping Li:
Asymmetric Hashing for Fast Ranking via Neural Network Measures. SIGIR 2023: 697-707 - [c25]Xinyi Zheng, Weijie Zhao, Xiaoyun Li, Ping Li:
Building K-Anonymous User Cohorts with Consecutive Consistent Weighted Sampling (CCWS). SIGIR 2023: 3374-3379 - [i20]Xinyi Zheng, Weijie Zhao, Xiaoyun Li, Ping Li:
Building K-Anonymous User Cohorts with Consecutive Consistent Weighted Sampling (CCWS). CoRR abs/2304.13677 (2023) - [i19]Ping Li, Weijie Zhao, Chao Wang, Qi Xia, Alice Wu, Lijun Peng:
Practice with Graph-based ANN Algorithms on Sparse Data: Chi-square Two-tower model, HNSW, Sign Cauchy Projections. CoRR abs/2306.07607 (2023) - [i18]Weijie Zhao, Ping Li:
Blockwise Feature Interaction in Recommendation Systems. CoRR abs/2306.15881 (2023) - [i17]Ping Li, Weijie Zhao:
Pb-Hash: Partitioned b-bit Hashing. CoRR abs/2306.15944 (2023) - [i16]Weijie Zhao, Shulong Tan, Ping Li:
GUITAR: Gradient Pruning toward Fast Neural Ranking. CoRR abs/2312.16828 (2023) - 2022
- [c24]Yingjie Lao, Weijie Zhao, Peng Yang, Ping Li:
DeepAuth: A DNN Authentication Framework by Model-Unique and Fragile Signature Embedding. AAAI 2022: 9595-9603 - [c23]Xiangyi Chen, Belhal Karimi, Weijie Zhao, Ping Li:
On the Convergence of Decentralized Adaptive Gradient Methods. ACML 2022: 217-232 - [c22]Weijie Zhao, Xuewu Jiao, Mingqing Hu, Xiaoyun Li, Xiangyu Zhang, Ping Li:
PaddleBox: Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising. IEEE Big Data 2022: 1401-1408 - [c21]Weijie Zhao, Peng Yang, Dong Li, Xing Shen, Lin Li, Ping Li:
Feature Fusion Network for Personalized Online Advertising Systems. IEEE Big Data 2022: 2160-2168 - [c20]Weijie Zhao, Xuewu Jiao, Xinsheng Luo, Jingxue Li, Belhal Karimi, Ping Li:
FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems. IEEE Big Data 2022: 2461-2466 - [c19]Yingjie Lao, Peng Yang, Weijie Zhao, Ping Li:
Identification for Deep Neural Network: Simply Adjusting Few Weights! ICDE 2022: 1328-1341 - [c18]Weijie Zhao, Yingjie Lao, Ping Li:
Integrity Authentication in Tree Models. KDD 2022: 2585-2593 - [i15]Ping Li, Weijie Zhao:
GCWSNet: Generalized Consistent Weighted Sampling for Scalable and Accurate Training of Neural Networks. CoRR abs/2201.02283 (2022) - [i14]Weijie Zhao, Xuewu Jiao, Mingqing Hu, Xiaoyun Li, Xiangyu Zhang, Ping Li:
Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising. CoRR abs/2201.05500 (2022) - [i13]Ping Li, Weijie Zhao:
Fast ABC-Boost: A Unified Framework for Selecting the Base Class in Multi-Class Classification. CoRR abs/2205.10927 (2022) - [i12]Weijie Zhao, Yingjie Lao, Ping Li:
Integrity Authentication in Tree Models. CoRR abs/2205.15444 (2022) - [i11]Zhaozhuo Xu, Weijie Zhao, Shulong Tan, Zhixin Zhou, Ping Li:
Proximity Graph Maintenance for Fast Online Nearest Neighbor Search. CoRR abs/2206.10839 (2022) - [i10]Ping Li, Weijie Zhao:
pGMM Kernel Regression and Comparisons with Boosted Trees. CoRR abs/2207.08667 (2022) - [i9]Ping Li, Weijie Zhao:
Package for Fast ABC-Boost. CoRR abs/2207.08770 (2022) - [i8]Weijie Zhao, Xuewu Jiao, Xinsheng Luo, Jingxue Li, Belhal Karimi, Ping Li:
FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems. CoRR abs/2210.07768 (2022) - [i7]Weijie Zhao, Shulong Tan, Ping Li:
Constrained Approximate Similarity Search on Proximity Graph. CoRR abs/2210.14958 (2022) - [i6]Khoa D. Doan, Shulong Tan, Weijie Zhao, Ping Li:
Asymmetric Hashing for Fast Ranking via Neural Network Measures. CoRR abs/2211.00619 (2022) - 2021
- [j2]Shulong Tan, Weijie Zhao, Ping Li:
Fast Neural Ranking on Bipartite Graph Indices. Proc. VLDB Endow. 15(4): 794-803 (2021) - [c17]Shulong Tan, Meifang Li, Weijie Zhao, Yandan Zheng, Xin Pei, Ping Li:
Multi-Task and Multi-Scene Unified Ranking Model for Online Advertising. IEEE BigData 2021: 2046-2051 - [c16]Khoa D. Doan, Yingjie Lao, Weijie Zhao, Ping Li:
LIRA: Learnable, Imperceptible and Robust Backdoor Attacks. ICCV 2021: 11946-11956 - [c15]Tan Yu, Xuemeng Yang, Yan Jiang, Hongfang Zhang, Weijie Zhao, Ping Li:
TIRA in Baidu Image Advertising. ICDE 2021: 2207-2212 - [c14]Shulong Tan, Zhaozhuo Xu, Weijie Zhao, Hongliang Fei, Zhixin Zhou, Ping Li:
Norm Adjusted Proximity Graph for Fast Inner Product Retrieval. KDD 2021: 1552-1560 - [c13]Yue Feng, Zhaochun Ren, Weijie Zhao, Mingming Sun, Ping Li:
Multi-Type Textual Reasoning for Product-Aware Answer Generation. SIGIR 2021: 1135-1145 - [c12]Zhiqiang Xu, Dong Li, Weijie Zhao, Xing Shen, Tianbo Huang, Xiaoyun Li, Ping Li:
Agile and Accurate CTR Prediction Model Training for Massive-Scale Online Advertising Systems. SIGMOD Conference 2021: 2404-2409 - [c11]Ping Li, Xiaoyun Li, Gennady Samorodnitsky, Weijie Zhao:
Consistent Sampling Through Extremal Process. WWW 2021: 1317-1327 - [i5]Xiangyi Chen, Belhal Karimi, Weijie Zhao, Ping Li:
On the Convergence of Decentralized Adaptive Gradient Methods. CoRR abs/2109.03194 (2021) - 2020
- [c10]Weijie Zhao, Shulong Tan, Ping Li:
SONG: Approximate Nearest Neighbor Search on GPU. ICDE 2020: 1033-1044 - [c9]Weijie Zhao, Deping Xie, Ronglai Jia, Yulei Qian, Ruiquan Ding, Mingming Sun, Ping Li:
Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems. MLSys 2020 - [c8]Shaogang Ren, Weijie Zhao, Ping Li:
Thunder: a Fast Coordinate Selection Solver for Sparse Learning. NeurIPS 2020 - [i4]Weijie Zhao, Deping Xie, Ronglai Jia, Yulei Qian, Ruiquan Ding, Mingming Sun, Ping Li:
Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems. CoRR abs/2003.05622 (2020)
2010 – 2019
- 2019
- [c7]Weijie Zhao, Jingyuan Zhang, Deping Xie, Yulei Qian, Ronglai Jia, Ping Li:
AIBox: CTR Prediction Model Training on a Single Node. CIKM 2019: 319-328 - 2018
- [b1]Weijie Zhao:
Advanced Database Techniques for Processing Scientific Multi-Dimensional Data. University of California, Merced, USA, 2018 - [j1]Weijie Zhao, Florin Rusu, Kesheng Wu, Peter Nugent:
Automatic identification and classification of Palomar Transient Factory astrophysical objects in GLADE. Int. J. Comput. Sci. Eng. 16(4): 337-349 (2018) - [c6]Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, Anna Y. Q. Ho, Peter Nugent:
Distributed caching for processing raw arrays. SSDBM 2018: 22:1-22:12 - [i3]Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, Anna Y. Q. Ho, Peter Nugent:
Distributed Caching for Complex Querying of Raw Arrays. CoRR abs/1803.06089 (2018) - 2017
- [c5]Bin Dong, Kesheng Wu, Surendra Byna, Jialin Liu, Weijie Zhao, Florin Rusu:
ArrayUDF: User-Defined Scientific Data Analysis on Arrays. HPDC 2017: 53-64 - [c4]Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, Peter Nugent:
Incremental View Maintenance over Array Data. SIGMOD Conference 2017: 139-154 - [c3]Yu Cheng, Weijie Zhao, Florin Rusu:
Bi-Level Online Aggregation on Raw Data. SSDBM 2017: 10:1-10:12 - [i2]Yu Cheng, Weijie Zhao, Florin Rusu:
OLA-RAW: Scalable Exploration over Raw Data. CoRR abs/1702.00358 (2017) - 2016
- [c2]Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu:
Similarity Join over Array Data. SIGMOD Conference 2016: 2007-2022 - 2015
- [c1]Weijie Zhao, Yu Cheng, Florin Rusu:
Vertical partitioning for query processing over raw data. SSDBM 2015: 15:1-15:12 - [i1]Weijie Zhao, Yu Cheng, Florin Rusu:
Workload-Driven Vertical Partitioning for Effective Query Processing over Raw Data. CoRR abs/1503.08946 (2015)
Coauthor Index
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