activity
20222026
most citedNetwork Topology Optimization via Deep Reinforcement Learning

3 citations · 6 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2026

TrustDABench: Benchmarking Reliability and Robustness of LLMs for Structured Data Analysis

Boshen Shi, Yize Liu, Chen Zhao +4

LLMs are increasingly used to analyze spreadsheets, CSV files, and other structured data, but producing a correct-looking answer is not the same as producing a trustworthy analysis…

cs.AI2026

NL2Dashboard: A Lightweight and Controllable Framework for Generating Dashboards with LLMs

Boshen Shi, Kexin Yang, Yuanbo Yang +5

While Large Language Models (LLMs) have demonstrated remarkable proficiency in generating standalone charts, synthesizing comprehensive dashboards remains a formidable challenge. E…

cs.AI2025

JT-DA: Enhancing Data Analysis with Tool-Integrated Table Reasoning Large Language Models

Ce Chi, Xing Wang, Zhendong Wang +9

In this work, we present JT-DA-8B (JiuTian Data Analyst 8B), a specialized large language model designed for complex table reasoning tasks across diverse real-world scenarios. To a…

cs.CL2025

TReB: A Comprehensive Benchmark for Evaluating Table Reasoning Capabilities of Large Language Models

Ce Li, Xiaofan Liu, Zhiyan Song +9

The majority of data in businesses and industries is stored in tables, databases, and data warehouses. Reasoning with table-structured data poses significant challenges for large l…

cs.LG2023★ 2 cited

MPPN: Multi-Resolution Periodic Pattern Network For Long-Term Time Series Forecasting

Xing Wang, Zhendong Wang, Kexin Yang +4

Long-term time series forecasting plays an important role in various real-world scenarios. Recent deep learning methods for long-term series forecasting tend to capture the intrica…

cs.NI2023★ 1 cited

Adaptive Hybrid Spatial-Temporal Graph Neural Network for Cellular Traffic Prediction

Xing Wang, Kexin Yang, Zhendong Wang +4

Cellular traffic prediction is an indispensable part for intelligent telecommunication networks. Nevertheless, due to the frequent user mobility and complex network scheduling mech…

cs.NI2022★ 3 cited

Network Topology Optimization via Deep Reinforcement Learning

Zhuoran Li, Xing Wang, Ling Pan +5

Topology impacts important network performance metrics, including link utilization, throughput and latency, and is of central importance to network operators. However, due to the c…