| 2026 | AAAI | Robust Watermarking on Gradient Boosting Decision Trees. | Jun Woo Chung, Yingjie Lao, Weijie Zhao |
| 2026 | EACL | SpARK: An Embarrassingly Simple Sparse Watermarking in LLMs with Enhanced Text Quality. | Duy C. Hoang, Hung T. Q. Le, Rui Chu, Ping Li, Weijie Zhao, Yingjie Lao, Khoa D. Doan |
| 2025 | NAACL | ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Parity LLM Data Valuation. | Yanzhou Pan, Huawei Lin, Yide Ran, Jiamin Chen, Xiaodong Yu, Weijie Zhao, Denghui Zhang, Zhaozhuo Xu |
| 2025 | SIGIR | Locality-Sensitive Indexing for Graph-Based Approximate Nearest Neighbor Search. | Jun Woo Chung, Huawei Lin, Weijie Zhao |
| 2024 | ACL | Token-wise Influential Training Data Retrieval for Large Language Models. | Huawei Lin, Jikai Long, Zhaozhuo Xu, Weijie Zhao |
| 2024 | ICTIR | Pb-Hash: Partitioned b-bit Hashing. | Ping Li, Weijie Zhao |
| 2024 | SIGIR | GUITAR: Gradient Pruning toward Fast Neural Ranking. | Weijie Zhao, Shulong Tan, Ping Li |
| 2023 | KDD | Machine Unlearning in Gradient Boosting Decision Trees. | Huawei Lin, Jun Woo Chung, Yingjie Lao, Weijie Zhao |
| 2023 | SIGIR | Asymmetric Hashing for Fast Ranking via Neural Network Measures. | Khoa D. Doan, Shulong Tan, Weijie Zhao, Ping Li |
| 2023 | SIGIR | Building K-Anonymous User Cohorts with Consecutive Consistent Weighted Sampling (CCWS). | Xinyi Zheng, Weijie Zhao, Xiaoyun Li, Ping Li |
| 2022 | AAAI | DeepAuth: A DNN Authentication Framework by Model-Unique and Fragile Signature Embedding. | Yingjie Lao, Weijie Zhao, Peng Yang, Ping Li |
| 2022 | ACML | On the Convergence of Decentralized Adaptive Gradient Methods. | Xiangyi Chen, Belhal Karimi, Weijie Zhao, Ping Li |
| 2022 | CIKM | GCWSNet: Generalized Consistent Weighted Sampling for Scalable and Accurate Training of Neural Networks. | Ping Li, Weijie Zhao |
| 2022 | ICDE | Identification for Deep Neural Network: Simply Adjusting Few Weights! | Yingjie Lao, Peng Yang, Weijie Zhao, Ping Li |
| 2022 | KDD | Integrity Authentication in Tree Models. | Weijie Zhao, Yingjie Lao, Ping Li |
| 2021 | ICCV | LIRA: Learnable, Imperceptible and Robust Backdoor Attacks. | Khoa D. Doan, Yingjie Lao, Weijie Zhao, Ping Li |
| 2021 | ICDE | TIRA in Baidu Image Advertising. | Tan Yu, Xuemeng Yang, Yan Jiang, Hongfang Zhang, Weijie Zhao, Ping Li |
| 2021 | KDD | Norm Adjusted Proximity Graph for Fast Inner Product Retrieval. | Shulong Tan, Zhaozhuo Xu, Weijie Zhao, Hongliang Fei, Zhixin Zhou, Ping Li |
| 2021 | WWW | Consistent Sampling Through Extremal Process. | Ping Li, Xiaoyun Li, Gennady Samorodnitsky, Weijie Zhao |
| 2021 | SIGIR | Multi-Type Textual Reasoning for Product-Aware Answer Generation. | Yue Feng, Zhaochun Ren, Weijie Zhao, Mingming Sun, Ping Li |
| 2021 | SIGMOD | Agile and Accurate CTR Prediction Model Training for Massive-Scale Online Advertising Systems. | Zhiqiang Xu, Dong Li, Weijie Zhao, Xing Shen, Tianbo Huang, Xiaoyun Li, Ping Li |
| 2020 | AAAI | Image Cropping with Composition and Saliency Aware Aesthetic Score Map. | Yi Tu, Li Niu, Weijie Zhao, Dawei Cheng, Liqing Zhang |
| 2020 | ICDE | SONG: Approximate Nearest Neighbor Search on GPU. | Weijie Zhao, Shulong Tan, Ping Li |
| 2019 | AAAI | Multi-Attribute Transfer via Disentangled Representation. | Jianfu Zhang, Yuanyuan Huang, Yaoyi Li, Weijie Zhao, Liqing Zhang |
| 2019 | CIKM | AIBox: CTR Prediction Model Training on a Single Node. | Weijie Zhao, Jingyuan Zhang, Deping Xie, Yulei Qian, Ronglai Jia, Ping Li |
| 2018 | SSDBM | Distributed caching for processing raw arrays. | Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, Anna Y. Q. Ho, Peter Nugent |
| 2017 | CIS | Research on Information Propagation Method Based on Individual User Characteristics. | Lejun Zhang, Weijie Zhao, Chunhui Zhao |
| 2017 | HPDC | ArrayUDF: User-Defined Scientific Data Analysis on Arrays. | Bin Dong, Kesheng Wu, Surendra Byna, Jialin Liu, Weijie Zhao, Florin Rusu |
| 2017 | SIGMOD | Incremental View Maintenance over Array Data. | Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, Peter Nugent |
| 2017 | SSDBM | Bi-Level Online Aggregation on Raw Data. | Yu Cheng, Weijie Zhao, Florin Rusu |
| 2016 | SIGMOD | Similarity Join over Array Data. | Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu |
| 2015 | SSDBM | Vertical partitioning for query processing over raw data. | Weijie Zhao, Yu Cheng, Florin Rusu |