Weijie Zhao

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 50

Top Topics

Prediction Model

Proximity Graph

Online Advertising

Top Venues

SIGMOD Conference

Publications

Ping Li, Weijie Zhao
Pb-Hash: Partitioned b-bit Hashing. ICTIR (2024)
Huawei Lin, Jikai Long, Zhaozhuo Xu, Weijie Zhao
Token-wise Influential Training Data Retrieval for Large Language Models. CoRR (2024)
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 (2024)
Weijie Zhao, Shulong Tan, Ping Li
GUITAR: Gradient Pruning toward Fast Neural Ranking. SIGIR (2024)
Huawei Lin, Jikai Long, Zhaozhuo Xu, Weijie Zhao
Token-wise Influential Training Data Retrieval for Large Language Models. ACL (1) (2024)
Xinyi Zheng, Weijie Zhao, Xiaoyun Li, Ping Li
Building K-Anonymous User Cohorts with Consecutive Consistent Weighted Sampling (CCWS). CoRR (2023)
Khoa D. Doan, Shulong Tan, Weijie Zhao, Ping Li
Asymmetric Hashing for Fast Ranking via Neural Network Measures. SIGIR (2023)
Xinyi Zheng, Weijie Zhao, Xiaoyun Li, Ping Li
Building K-Anonymous User Cohorts with Consecutive Consistent Weighted Sampling (CCWS). SIGIR (2023)
Huawei Lin, Jun Woo Chung, Yingjie Lao, Weijie Zhao
Machine Unlearning in Gradient Boosting Decision Trees. KDD (2023)
Ping Li, Weijie Zhao
Fast ABC-Boost: A Unified Framework for Selecting the Base Class in Multi-Class Classification. CoRR (2022)
Weijie Zhao, Xuewu Jiao, Xinsheng Luo, Jingxue Li, Belhal Karimi, Ping Li
FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems. Big Data (2022)
Weijie Zhao, Xuewu Jiao, Mingqing Hu, Xiaoyun Li, Xiangyu Zhang, Ping Li
PaddleBox: Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising. Big Data (2022)
Zhaozhuo Xu, Weijie Zhao, Shulong Tan, Zhixin Zhou, Ping Li
Proximity Graph Maintenance for Fast Online Nearest Neighbor Search. CoRR (2022)
Weijie Zhao, Peng Yang, Dong Li, Xing Shen, Lin Li, Ping Li
Feature Fusion Network for Personalized Online Advertising Systems. Big Data (2022)
Weijie Zhao, Shulong Tan, Ping Li
Constrained Approximate Similarity Search on Proximity Graph. CoRR (2022)
Ping Li, Weijie Zhao
Package for Fast ABC-Boost. CoRR (2022)
Yingjie Lao, Peng Yang, Weijie Zhao, Ping Li
Identification for Deep Neural Network: Simply Adjusting Few Weights! ICDE (2022)
Ping Li, Weijie Zhao
pGMM Kernel Regression and Comparisons with Boosted Trees. CoRR (2022)
Ping Li, Weijie Zhao
GCWSNet: Generalized Consistent Weighted Sampling for Scalable and Accurate Training of Neural Networks. CoRR (2022)
Weijie Zhao, Xuewu Jiao, Xinsheng Luo, Jingxue Li, Belhal Karimi, Ping Li
FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems. CoRR (2022)
Weijie Zhao, Xuewu Jiao, Mingqing Hu, Xiaoyun Li, Xiangyu Zhang, Ping Li
Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising. CoRR (2022)
Yingjie Lao, Weijie Zhao, Peng Yang, Ping Li
DeepAuth: A DNN Authentication Framework by Model-Unique and Fragile Signature Embedding. AAAI (2022)
Khoa Doan, Shulong Tan, Weijie Zhao, Ping Li
Asymmetric Hashing for Fast Ranking via Neural Network Measures. CoRR (2022)
Weijie Zhao, Yingjie Lao, Ping Li
Integrity Authentication in Tree Models. CoRR (2022)
Xiangyi Chen, Belhal Karimi, Weijie Zhao, Ping Li
On the Convergence of Decentralized Adaptive Gradient Methods. ACML (2022)
Weijie Zhao, Yingjie Lao, Ping Li
Integrity Authentication in Tree Models. KDD (2022)
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)
Khoa Doan, Yingjie Lao, Weijie Zhao, Ping Li
LIRA: Learnable, Imperceptible and Robust Backdoor Attacks. ICCV (2021)
Shulong Tan, Zhaozhuo Xu, Weijie Zhao, Hongliang Fei, Zhixin Zhou, Ping Li
Norm Adjusted Proximity Graph for Fast Inner Product Retrieval. KDD (2021)
Ping Li, Xiaoyun Li, Gennady Samorodnitsky, Weijie Zhao
Consistent Sampling Through Extremal Process. WWW (2021)
Shulong Tan, Weijie Zhao, Ping Li
Fast Neural Ranking on Bipartite Graph Indices. Proc. VLDB Endow. 15 (4) (2021)
Yue Feng, Zhaochun Ren, Weijie Zhao, Mingming Sun, Ping Li
Multi-Type Textual Reasoning for Product-Aware Answer Generation. SIGIR (2021)
Xiangyi Chen, Belhal Karimi, Weijie Zhao, Ping Li
On the Convergence of Decentralized Adaptive Gradient Methods. CoRR (2021)
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)
Tan Yu, Xuemeng Yang, Yan Jiang, Hongfang Zhang, Weijie Zhao, Ping Li
TIRA in Baidu Image Advertising. ICDE (2021)
Weijie Zhao, Shulong Tan, Ping Li
SONG: Approximate Nearest Neighbor Search on GPU. ICDE (2020)
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 (2020)
Shaogang Ren, Weijie Zhao, Ping Li
Thunder: a Fast Coordinate Selection Solver for Sparse Learning. NeurIPS (2020)
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)
Weijie Zhao, Jingyuan Zhang, Deping Xie, Yulei Qian, Ronglai Jia, Ping Li
AIBox: CTR Prediction Model Training on a Single Node. CIKM (2019)
Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, Anna Y. Q. Ho, Peter Nugent
Distributed Caching for Complex Querying of Raw Arrays. CoRR (2018)
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) (2018)
Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, Anna Y. Q. Ho, Peter Nugent
Distributed caching for processing raw arrays. SSDBM (2018)
Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, Peter Nugent
Incremental View Maintenance over Array Data. SIGMOD Conference (2017)
Bin Dong, Kesheng Wu, Surendra Byna, Jialin Liu, Weijie Zhao, Florin Rusu
ArrayUDF: User-Defined Scientific Data Analysis on Arrays. HPDC (2017)
Yu Cheng, Weijie Zhao, Florin Rusu
Bi-Level Online Aggregation on Raw Data. SSDBM (2017)
Yu Cheng, Weijie Zhao, Florin Rusu
OLA-RAW: Scalable Exploration over Raw Data. CoRR (2017)
Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu
Similarity Join over Array Data. SIGMOD Conference (2016)
Weijie Zhao, Yu Cheng, Florin Rusu
Workload-Driven Vertical Partitioning for Effective Query Processing over Raw Data. CoRR (2015)
Weijie Zhao, Yu Cheng, Florin Rusu
Vertical partitioning for query processing over raw data. SSDBM (2015)