Vertical partitioning for query processing over raw data. - Weijie Zhao 001; Yu Cheng 007; Florin Rusu (SSDBM, 2015)

Workload-Driven Vertical Partitioning for Effective Query Processing over Raw Data. - Weijie Zhao 001; Yu Cheng 007; Florin Rusu (CoRR, 2015)

Similarity Join over Array Data. - Weijie Zhao 001; Florin Rusu; Bin Dong 002; Kesheng Wu (SIGMOD Conference, 2016)

ArrayUDF: User-Defined Scientific Data Analysis on Arrays. - Bin Dong 002; Kesheng Wu; Surendra Byna; Jialin Liu 002; Weijie Zhao 001; Florin Rusu (HPDC, 2017)

Incremental View Maintenance over Array Data. - Weijie Zhao 001; Florin Rusu; Bin Dong 002; Kesheng Wu; Peter Nugent (SIGMOD Conference, 2017)

Bi-Level Online Aggregation on Raw Data. - Yu Cheng 007; Weijie Zhao 001; Florin Rusu (SSDBM, 2017)

OLA-RAW: Scalable Exploration over Raw Data. - Yu Cheng 007; Weijie Zhao 001; Florin Rusu (CoRR, 2017)

Distributed caching for processing raw arrays. - Weijie Zhao 001; Florin Rusu; Bin Dong 002; Kesheng Wu; Anna Y. Q. Ho; Peter Nugent (SSDBM, 2018)

Distributed Caching for Complex Querying of Raw Arrays. - Weijie Zhao 001; Florin Rusu; Bin Dong 002; Kesheng Wu; Anna Y. Q. Ho; Peter Nugent (CoRR, 2018)

Automatic identification and classification of Palomar Transient Factory astrophysical objects in GLADE. - Weijie Zhao 001; Florin Rusu; Kesheng Wu; Peter Nugent (Int. J. Comput. Sci. Eng., 2018)

Advanced Database Techniques for Processing Scientific Multi-Dimensional Data. - Weijie Zhao 001 (2018)

AIBox: CTR Prediction Model Training on a Single Node. - Weijie Zhao 001; Jingyuan Zhang; Deping Xie; Yulei Qian; Ronglai Jia; Ping Li 001 (CIKM, 2019)

SONG: Approximate Nearest Neighbor Search on GPU. - Weijie Zhao 001; Shulong Tan; Ping Li 001 (ICDE, 2020)

Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems. - Weijie Zhao 001; Deping Xie; Ronglai Jia; Yulei Qian; Ruiquan Ding; Mingming Sun 001; Ping Li 001 (MLSys, 2020)

Thunder: a Fast Coordinate Selection Solver for Sparse Learning. - Shaogang Ren; Weijie Zhao 001; Ping Li 001 (NeurIPS, 2020)

Multi-Task and Multi-Scene Unified Ranking Model for Online Advertising. - Shulong Tan; Meifang Li; Weijie Zhao 001; Yandan Zheng; Xin Pei; Ping Li 001 (IEEE BigData, 2021)

LIRA: Learnable, Imperceptible and Robust Backdoor Attacks. - Khoa D. Doan; Yingjie Lao; Weijie Zhao 001; Ping Li 001 (ICCV, 2021)

TIRA in Baidu Image Advertising. - Tan Yu; Xuemeng Yang; Yan Jiang; Hongfang Zhang; Weijie Zhao 001; Ping Li 001 (ICDE, 2021)

Norm Adjusted Proximity Graph for Fast Inner Product Retrieval. - Shulong Tan; Zhaozhuo Xu; Weijie Zhao 001; Hongliang Fei; Zhixin Zhou; Ping Li 001 (KDD, 2021)

Multi-Type Textual Reasoning for Product-Aware Answer Generation. - Yue Feng 002; Zhaochun Ren; Weijie Zhao 001; Mingming Sun 001; Ping Li 001 (SIGIR, 2021)

Agile and Accurate CTR Prediction Model Training for Massive-Scale Online Advertising Systems. - Zhiqiang Xu; Dong Li; Weijie Zhao 001; Xing Shen; Tianbo Huang; Xiaoyun Li; Ping Li 001 (SIGMOD Conference, 2021)

Consistent Sampling Through Extremal Process. - Ping Li 001; Xiaoyun Li; Gennady Samorodnitsky; Weijie Zhao 001 (WWW, 2021)

Fast Neural Ranking on Bipartite Graph Indices. - Shulong Tan; Weijie Zhao 001; Ping Li 001 (Proc. VLDB Endow., 2021)

DeepAuth: A DNN Authentication Framework by Model-Unique and Fragile Signature Embedding. - Yingjie Lao; Weijie Zhao 001; Peng Yang 013; Ping Li 001 (AAAI, 2022)

On the Convergence of Decentralized Adaptive Gradient Methods. - Xiangyi Chen; Belhal Karimi; Weijie Zhao 001; Ping Li 001 (ACML, 2022)

PaddleBox: Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising. - Weijie Zhao 001; Xuewu Jiao; Mingqing Hu; Xiaoyun Li; Xiangyu Zhang; Ping Li 001 (IEEE Big Data, 2022)

FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems. - Weijie Zhao 001; Xuewu Jiao; Xinsheng Luo; Jingxue Li; Belhal Karimi; Ping Li 001 (IEEE Big Data, 2022)

Feature Fusion Network for Personalized Online Advertising Systems. - Weijie Zhao 001; Peng Yang 013; Dong Li; Xing Shen; Lin Li 001; Ping Li 001 (IEEE Big Data, 2022)

GCWSNet: Generalized Consistent Weighted Sampling for Scalable and Accurate Training of Neural Networks. - Ping Li 001; Weijie Zhao 001 (CIKM, 2022)

Identification for Deep Neural Network: Simply Adjusting Few Weights! - Yingjie Lao; Peng Yang 013; Weijie Zhao 001; Ping Li 001 (ICDE, 2022)

Integrity Authentication in Tree Models. - Weijie Zhao 001; Yingjie Lao; Ping Li 001 (KDD, 2022)

Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising. - Weijie Zhao 001; Xuewu Jiao; Mingqing Hu; Xiaoyun Li; Xiangyu Zhang; Ping Li 001 (CoRR, 2022)

Fast ABC-Boost: A Unified Framework for Selecting the Base Class in Multi-Class Classification. - Ping Li 001; Weijie Zhao 001 (CoRR, 2022)

Proximity Graph Maintenance for Fast Online Nearest Neighbor Search. - Zhaozhuo Xu; Weijie Zhao 001; Shulong Tan; Zhixin Zhou; Ping Li 001 (CoRR, 2022)

pGMM Kernel Regression and Comparisons with Boosted Trees. - Ping Li 001; Weijie Zhao 001 (CoRR, 2022)

Package for Fast ABC-Boost. - Ping Li 001; Weijie Zhao 001 (CoRR, 2022)

Constrained Approximate Similarity Search on Proximity Graph. - Weijie Zhao 001; Shulong Tan; Ping Li 001 (CoRR, 2022)

Machine Unlearning in Gradient Boosting Decision Trees. - Huawei Lin 001; Jun Woo Chung; Yingjie Lao; Weijie Zhao 001 (KDD, 2023)

Asymmetric Hashing for Fast Ranking via Neural Network Measures. - Khoa D. Doan; Shulong Tan; Weijie Zhao 001; Ping Li 001 (SIGIR, 2023)

Building K-Anonymous User Cohorts with Consecutive Consistent Weighted Sampling (CCWS). - Xinyi Zheng; Weijie Zhao 001; Xiaoyun Li; Ping Li 001 (SIGIR, 2023)

Practice with Graph-based ANN Algorithms on Sparse Data: Chi-square Two-tower model, HNSW, Sign Cauchy Projections. - Ping Li 001; Weijie Zhao 001; Chao Wang; Qi Xia; Alice Wu; Lijun Peng (CoRR, 2023)

Blockwise Feature Interaction in Recommendation Systems. - Weijie Zhao 001; Ping Li 001 (CoRR, 2023)

Token-wise Influential Training Data Retrieval for Large Language Models. - Huawei Lin 001; Jikai Long; Zhaozhuo Xu; Weijie Zhao 001 (ACL (1), 2024)

Pb-Hash: Partitioned b-bit Hashing. - Ping Li 001; Weijie Zhao 001 (ICTIR, 2024)

GUITAR: Gradient Pruning toward Fast Neural Ranking. - Weijie Zhao 001; Shulong Tan; Ping Li 001 (SIGIR, 2024)

Less is More: Sparse Watermarking in LLMs with Enhanced Text Quality. - Duy C. Hoang; Hung T. Q. Le; Rui Chu; Ping Li 001; Weijie Zhao 001; Yingjie Lao; Khoa D. Doan (CoRR, 2024)

DMin: Scalable Training Data Influence Estimation for Diffusion Models. - Huawei Lin 001; Yingjie Lao; Weijie Zhao 001 (CoRR, 2024)

ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Parity LLM Data Valuation. - Yanzhou Pan; Huawei Lin 001; Yide Ran; Jiamin Chen; Xiaodong Yu; Weijie Zhao 001; Denghui Zhang; Zhaozhuo Xu (NAACL (Long Papers), 2025)

Locality-Sensitive Indexing for Graph-Based Approximate Nearest Neighbor Search. - Jun Woo Chung; Huawei Lin 001; Weijie Zhao 001 (SIGIR, 2025)

Online Gradient Boosting Decision Tree: In-Place Updates for Efficient Adding/Deleting Data. - Huawei Lin 001; Jun Woo Chung; Yingjie Lao; Weijie Zhao 001 (CoRR, 2025)

UniGuardian: A Unified Defense for Detecting Prompt Injection, Backdoor Attacks and Adversarial Attacks in Large Language Models. - Huawei Lin 001; Yingjie Lao; Tong Geng; Tan Yu; Weijie Zhao 001 (CoRR, 2025)

VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation. - Huawei Lin 001; Tong Geng; Zhaozhuo Xu; Weijie Zhao 001 (CoRR, 2025)