Weijie Zhao - RankMe

68 papers A* 16A 3B 6C 1Misc 1Journal 32Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Robust Watermarking on Gradient Boosting Decision Trees. AAAI Jun Woo Chung, Yingjie Lao, Weijie Zhao
2026	—	`conf`	SpARK: An Embarrassingly Simple Sparse Watermarking in LLMs with Enhanced Text Quality. EACL (Findings) Duy C. Hoang, Hung T. Q. Le, Rui Chu, Ping Li, Weijie Zhao, Yingjie Lao, Khoa D. Doan
2025	—	`conf`	ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Parity LLM Data Valuation. NAACL (Long Papers) Yanzhou Pan, Huawei Lin, Yide Ran, Jiamin Chen, Xiaodong Yu, Weijie Zhao, Denghui Zhang, Zhaozhuo Xu
2025	J	`jnl`	ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Parity LLM Data Valuation. CoRR Yanzhou Pan, Huawei Lin, Yide Ran, Jiamin Chen, Xiaodong Yu, Weijie Zhao, Denghui Zhang, Zhaozhuo Xu
2025	J	`jnl`	Agent-Omni: Test-Time Multimodal Reasoning via Model Coordination for Understanding Anything. CoRR Huawei Lin, Yunzhi Shi, Tong Geng, Weijie Zhao, Wei Wang, Ravender Pal Singh
2025	A*	`conf`	Locality-Sensitive Indexing for Graph-Based Approximate Nearest Neighbor Search. SIGIR Jun Woo Chung, Huawei Lin, Weijie Zhao
2025	J	`jnl`	Online Gradient Boosting Decision Tree: In-Place Updates for Efficient Adding/Deleting Data. CoRR Huawei Lin, Jun Woo Chung, Yingjie Lao, Weijie Zhao
2025	J	`jnl`	RapidUn: Influence-Driven Parameter Reweighting for Efficient Large Language Model Unlearning. CoRR Guoshenghui Zhao, Huawei Lin, Weijie Zhao
2025	J	`jnl`	Robust Watermarking on Gradient Boosting Decision Trees. CoRR Jun Woo Chung, Yingjie Lao, Weijie Zhao
2025	J	`jnl`	UniGuardian: A Unified Defense for Detecting Prompt Injection, Backdoor Attacks and Adversarial Attacks in Large Language Models. CoRR Huawei Lin, Yingjie Lao, Tong Geng, Tan Yu, Weijie Zhao
2025	J	`jnl`	VTBench: Evaluating Visual Tokenizers for Autoregressive Image Generation. CoRR Huawei Lin, Tong Geng, Zhaozhuo Xu, Weijie Zhao
2024	J	`jnl`	DMin: Scalable Training Data Influence Estimation for Diffusion Models. CoRR Huawei Lin, Yingjie Lao, Weijie Zhao
2024	A*	`conf`	GUITAR: Gradient Pruning toward Fast Neural Ranking. SIGIR Weijie Zhao, Shulong Tan, Ping Li
2024	J	`jnl`	Less is More: Sparse Watermarking in LLMs with Enhanced Text Quality. CoRR Duy C. Hoang, Hung T. Q. Le, Rui Chu, Ping Li, Weijie Zhao, Yingjie Lao, Khoa D. Doan
2024	Misc	`conf`	Pb-Hash: Partitioned b-bit Hashing. ICTIR Ping Li, Weijie Zhao
2024	—	`conf`	Token-wise Influential Training Data Retrieval for Large Language Models. ACL (1) Huawei Lin, Jikai Long, Zhaozhuo Xu, Weijie Zhao
2024	J	`jnl`	Token-wise Influential Training Data Retrieval for Large Language Models. CoRR Huawei Lin, Jikai Long, Zhaozhuo Xu, Weijie Zhao
2023	A*	`conf`	Asymmetric Hashing for Fast Ranking via Neural Network Measures. SIGIR Khoa D. Doan, Shulong Tan, Weijie Zhao, Ping Li
2023	J	`jnl`	Blockwise Feature Interaction in Recommendation Systems. CoRR Weijie Zhao, Ping Li
2023	A*	`conf`	Building K-Anonymous User Cohorts with Consecutive Consistent Weighted Sampling (CCWS). SIGIR Xinyi Zheng, Weijie Zhao, Xiaoyun Li, Ping Li
2023	J	`jnl`	Building K-Anonymous User Cohorts with Consecutive Consistent Weighted Sampling (CCWS). CoRR Xinyi Zheng, Weijie Zhao, Xiaoyun Li, Ping Li
2023	J	`jnl`	GUITAR: Gradient Pruning toward Fast Neural Ranking. CoRR Weijie Zhao, Shulong Tan, Ping Li
2023	A*	`conf`	Machine Unlearning in Gradient Boosting Decision Trees. KDD Huawei Lin, Jun Woo Chung, Yingjie Lao, Weijie Zhao
2023	J	`jnl`	Pb-Hash: Partitioned b-bit Hashing. CoRR Ping Li, Weijie Zhao
2023	J	`jnl`	Practice with Graph-based ANN Algorithms on Sparse Data: Chi-square Two-tower model, HNSW, Sign Cauchy Projections. CoRR Ping Li, Weijie Zhao, Chao Wang, Qi Xia, Alice Wu, Lijun Peng
2022	J	`jnl`	Asymmetric Hashing for Fast Ranking via Neural Network Measures. CoRR Khoa D. Doan, Shulong Tan, Weijie Zhao, Ping Li
2022	J	`jnl`	Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising. CoRR Weijie Zhao, Xuewu Jiao, Mingqing Hu, Xiaoyun Li, Xiangyu Zhang, Ping Li
2022	J	`jnl`	Constrained Approximate Similarity Search on Proximity Graph. CoRR Weijie Zhao, Shulong Tan, Ping Li
2022	A*	`conf`	DeepAuth: A DNN Authentication Framework by Model-Unique and Fragile Signature Embedding. AAAI Yingjie Lao, Weijie Zhao, Peng Yang, Ping Li
2022	J	`jnl`	Fast ABC-Boost: A Unified Framework for Selecting the Base Class in Multi-Class Classification. CoRR Ping Li, Weijie Zhao
2022	B	`conf`	Feature Fusion Network for Personalized Online Advertising Systems. IEEE Big Data Weijie Zhao, Peng Yang, Dong Li, Xing Shen, Lin Li, Ping Li
2022	B	`conf`	FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems. IEEE Big Data Weijie Zhao, Xuewu Jiao, Xinsheng Luo, Jingxue Li, Belhal Karimi, Ping Li
2022	J	`jnl`	FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems. CoRR Weijie Zhao, Xuewu Jiao, Xinsheng Luo, Jingxue Li, Belhal Karimi, Ping Li
2022	A	`conf`	GCWSNet: Generalized Consistent Weighted Sampling for Scalable and Accurate Training of Neural Networks. CIKM Ping Li, Weijie Zhao
2022	J	`jnl`	GCWSNet: Generalized Consistent Weighted Sampling for Scalable and Accurate Training of Neural Networks. CoRR Ping Li, Weijie Zhao
2022	A*	`conf`	Identification for Deep Neural Network: Simply Adjusting Few Weights! ICDE Yingjie Lao, Peng Yang, Weijie Zhao, Ping Li
2022	A*	`conf`	Integrity Authentication in Tree Models. KDD Weijie Zhao, Yingjie Lao, Ping Li
2022	J	`jnl`	Integrity Authentication in Tree Models. CoRR Weijie Zhao, Yingjie Lao, Ping Li
2022	C	`conf`	On the Convergence of Decentralized Adaptive Gradient Methods. ACML Xiangyi Chen, Belhal Karimi, Weijie Zhao, Ping Li
2022	J	`jnl`	Package for Fast ABC-Boost. CoRR Ping Li, Weijie Zhao
2022	B	`conf`	PaddleBox: Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising. IEEE Big Data Weijie Zhao, Xuewu Jiao, Mingqing Hu, Xiaoyun Li, Xiangyu Zhang, Ping Li
2022	J	`jnl`	Proximity Graph Maintenance for Fast Online Nearest Neighbor Search. CoRR Zhaozhuo Xu, Weijie Zhao, Shulong Tan, Zhixin Zhou, Ping Li
2022	J	`jnl`	pGMM Kernel Regression and Comparisons with Boosted Trees. CoRR Ping Li, Weijie Zhao
2021	—	`conf`	Agile and Accurate CTR Prediction Model Training for Massive-Scale Online Advertising Systems. SIGMOD Conference Zhiqiang Xu, Dong Li, Weijie Zhao, Xing Shen, Tianbo Huang, Xiaoyun Li, Ping Li
2021	A*	`conf`	Consistent Sampling Through Extremal Process. WWW Ping Li, Xiaoyun Li, Gennady Samorodnitsky, Weijie Zhao
2021	J	`jnl`	Fast Neural Ranking on Bipartite Graph Indices. Proc. VLDB Endow. Shulong Tan, Weijie Zhao, Ping Li
2021	A*	`conf`	LIRA: Learnable, Imperceptible and Robust Backdoor Attacks. ICCV Khoa D. Doan, Yingjie Lao, Weijie Zhao, Ping Li
2021	—	`conf`	Multi-Task and Multi-Scene Unified Ranking Model for Online Advertising. IEEE BigData Shulong Tan, Meifang Li, Weijie Zhao, Yandan Zheng, Xin Pei, Ping Li
2021	A*	`conf`	Multi-Type Textual Reasoning for Product-Aware Answer Generation. SIGIR Yue Feng, Zhaochun Ren, Weijie Zhao, Mingming Sun, Ping Li
2021	A*	`conf`	Norm Adjusted Proximity Graph for Fast Inner Product Retrieval. KDD Shulong Tan, Zhaozhuo Xu, Weijie Zhao, Hongliang Fei, Zhixin Zhou, Ping Li
2021	J	`jnl`	On the Convergence of Decentralized Adaptive Gradient Methods. CoRR Xiangyi Chen, Belhal Karimi, Weijie Zhao, Ping Li
2021	A*	`conf`	TIRA in Baidu Image Advertising. ICDE Tan Yu, Xuemeng Yang, Yan Jiang, Hongfang Zhang, Weijie Zhao, Ping Li
2020	—	`conf`	Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems. MLSys Weijie Zhao, Deping Xie, Ronglai Jia, YuLei Qian, Ruiquan Ding, Mingming Sun, Ping Li
2020	J	`jnl`	Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems. CoRR Weijie Zhao, Deping Xie, Ronglai Jia, YuLei Qian, Ruiquan Ding, Mingming Sun, Ping Li
2020	A*	`conf`	SONG: Approximate Nearest Neighbor Search on GPU. ICDE Weijie Zhao, Shulong Tan, Ping Li
2020	A*	`conf`	Thunder: a Fast Coordinate Selection Solver for Sparse Learning. NeurIPS Shaogang Ren, Weijie Zhao, Ping Li
2019	A	`conf`	AIBox: CTR Prediction Model Training on a Single Node. CIKM Weijie Zhao, Jingyuan Zhang, Deping Xie, YuLei Qian, Ronglai Jia, Ping Li
2018	—	`—`	Advanced Database Techniques for Processing Scientific Multi-Dimensional Data. Weijie Zhao
2018	J	`jnl`	Automatic identification and classification of Palomar Transient Factory astrophysical objects in GLADE. Int. J. Comput. Sci. Eng. Weijie Zhao, Florin Rusu, Kesheng Wu, Peter Nugent
2018	J	`jnl`	Distributed Caching for Complex Querying of Raw Arrays. CoRR Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, Anna Y. Q. Ho, Peter Nugent
2018	B	`conf`	Distributed caching for processing raw arrays. SSDBM Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, Anna Y. Q. Ho, Peter Nugent
2017	A	`conf`	ArrayUDF: User-Defined Scientific Data Analysis on Arrays. HPDC Bin Dong, Kesheng Wu, Surendra Byna, Jialin Liu, Weijie Zhao, Florin Rusu
2017	B	`conf`	Bi-Level Online Aggregation on Raw Data. SSDBM Yu Cheng, Weijie Zhao, Florin Rusu
2017	—	`conf`	Incremental View Maintenance over Array Data. SIGMOD Conference Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu, Peter Nugent
2017	J	`jnl`	OLA-RAW: Scalable Exploration over Raw Data. CoRR Yu Cheng, Weijie Zhao, Florin Rusu
2016	—	`conf`	Similarity Join over Array Data. SIGMOD Conference Weijie Zhao, Florin Rusu, Bin Dong, Kesheng Wu
2015	B	`conf`	Vertical partitioning for query processing over raw data. SSDBM Weijie Zhao, Yu Cheng, Florin Rusu
2015	J	`jnl`	Workload-Driven Vertical Partitioning for Effective Query Processing over Raw Data. CoRR Weijie Zhao, Yu Cheng, Florin Rusu