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20242026
most citedHydraulis: Balancing Large Transformer Model Training via Co-designing Parallel Strategies and Data Assignment

2 citations · 2 across the 7 of their papers we have counts for

collaborators

7 papers

cs.DB2026

SiriusDeliver: Automating Data Warehouse Delivery at Tencent

Haining Xie, Xiaokai Zhou, Jiaming Yang +12

Enterprise data warehouses (DWs) support business-critical analytics, but warehouse task delivery remains a complicated production process involving context retrieval, workflow con…

cs.IR2026

NOVA: A Verification-Aware Agent Harness for Architecture Evolution in Industrial Recommender Systems

Shaohua Liu, Liang Fang, Yilong Sun +16

Industrial advertising recommender systems are continually improved through architecture modifications, yet production iteration remains expert-intensive because coordinated change…

cs.DB2026

SiriusHelper: An LLM Agent-Based Operations Assistant for Big Data Platforms

Yu Shen, Shiyang Liu, Qihang He +14

Big data platforms are widely used in modern enterprises, and an in-production intelligent assistant is increasingly important to help users quickly find actionable guidance and re…

cs.AI2026

ATPO: Agentic Turn-based Policy Optimization via Tree Search

Zefang Zong, Dingwei Chen, Yang Li +6

LLM agents have emerged as powerful systems for tackling multi-turn tasks by interleaving internal reasoning and external tool interactions. Agentic Reinforcement Learning has rece…

cs.DB2025

SQLGovernor: An LLM-powered SQL Toolkit for Real World Application

Jie Jiang, Siqi Shen, Haining Xie +8

SQL queries in real world analytical environments, whether written by humans or generated automatically often suffer from syntax errors, inefficiency, or semantic misalignment, esp…

cs.DC2024★ 2 cited

Hydraulis: Balancing Large Transformer Model Training via Co-designing Parallel Strategies and Data Assignment

Haoyang Li, Fangcheng Fu, Sheng Lin +8

To optimize large Transformer model training, both efficient parallel computing and advanced data management are indispensable. However, current methods often assume a stable and u…

cs.DB2024

SiriusBI: A Comprehensive LLM-Powered Solution for Data Analytics in Business Intelligence

Jie Jiang, Haining Xie, Siqi Shen +12

With the proliferation of Large Language Models (LLMs) in Business Intelligence (BI), existing solutions face critical challenges in industrial deployments: functionality deficienc…