Autonomic Workflow Management in the Grid. - Guangsheng Zhang 002; Changjun Jiang; Jing Sha; Ping Sun (International Conference on Computational Science (3), 2007)

An Approach to Predict Performance of Component-based Software with the Palladio Component Model and Stochastic Well-formed Nets. - Jing Sha; Changjun Jiang (Adv. Inf. Sci. Serv. Sci., 2010)

A Study of the Relationship between Mobility Model of Ad hoc Network and Its Connectivity. - Jianli Zhao; Xiaofei Jiang; Jing Sha (J. Comput., 2014)

Fuzzy Petri Net Method for Hesitant Decision Making. - Jing Sha; Yulin Zhang (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld, 2016)

ASSCA: API based Sequence and Statistics features Combined malware detection Architecture. - Xiaofeng Lu; Xiao Zhou; Fangshuo Jiang; Shengwei Yi; Jing Sha (IIKI, 2017)

Terminal Sensitive Data Protection by Adjusting Access Time Bidirectionally and Automatically. - Xiaofeng Lu; Chen Liang; Shengfei Zhang; Pietro Liò; Jing Sha (ICCCN, 2018)

ASSCA: API sequence and statistics features combined architecture for malware detection. - Xiaofeng Lu; Fangshuo Jiang; Xiao Zhou; Shengwei Yi; Jing Sha; Pietro Liò (Comput. Networks, 2019)

A user requirement oriented web service discovery approach based on logic and threshold petri net. - Jing Sha; Yuyue Du; Liang Qi 001 (IEEE CAA J. Autom. Sinica, 2019)

A method for virtual machine migration in cloud computing using a collective behavior-based metaheuristics algorithm. - Jing Sha; Abdol Ghaffar Ebadi; Dinesh Mavaluru; Mohammed Alshehri; Osama Alfarraj; Lila Rajabion (Concurr. Comput. Pract. Exp., 2020)

Continual Pre-training of Language Models for Math Problem Understanding with Syntax-Aware Memory Network. - Zheng Gong 001; Kun Zhou 002; Wayne Xin Zhao; Jing Sha; Shijin Wang 001; Ji-Rong Wen (ACL (1), 2022)

JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding. - Wayne Xin Zhao; Kun Zhou 002; Zheng Gong 001; Beichen Zhang; Yuanhang Zhou; Jing Sha; Zhigang Chen 003; Shijin Wang 001; Cong Liu 006; Ji-Rong Wen (KDD, 2022)

Exploiting Non-Interactive Exercises in Cognitive Diagnosis. - Fangzhou Yao; Qi Liu 003; Min Hou; Shiwei Tong; Zhenya Huang; Enhong Chen; Jing Sha; Shijin Wang 001 (IJCAI, 2023)

JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving. - Xin Zhao 018; Kun Zhou 002; Beichen Zhang; Zheng Gong 001; Zhipeng Chen 001; Yuanhang Zhou; Ji-Rong Wen; Jing Sha; Shijin Wang 001; Cong Liu 006; Guoping Hu (KDD, 2023)

Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning. - Beichen Zhang; Kun Zhou 002; Xilin Wei; Xin Zhao 018; Jing Sha; Shijin Wang 001; Ji-Rong Wen (NeurIPS, 2023)

A light-weight and accurate pig detection method based on complex scenes. - Jing Sha; Gong-Li Zeng; Zhi-Feng Xu; Yang Yang (Multim. Tools Appl., 2023)

Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process. - Tong Xiao; Jiayu Liu 001; Zhenya Huang; Jinze Wu; Jing Sha; Shijin Wang 001; Enhong Chen (IJCAI, 2024)

Item-Difficulty-Aware Learning Path Recommendation: From a Real Walking Perspective. - Haotian Zhang; Shuanghong Shen; Bihan Xu; Zhenya Huang; Jinze Wu; Jing Sha; Shijin Wang 001 (KDD, 2024)

SocraticLM: Exploring Socratic Personalized Teaching with Large Language Models. - Jiayu Liu 001; Zhenya Huang; Tong Xiao; Jing Sha; Jinze Wu; Qi Liu 003; Shijin Wang 001; Enhong Chen (NeurIPS, 2024)

JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models. - Kun Zhou 002; Beichen Zhang; Jiapeng Wang; Zhipeng Chen 001; Xin Zhao 018; Jing Sha; Zhichao Sheng; Shijin Wang 001; Ji-Rong Wen (NeurIPS, 2024)

Graph-based Student Knowledge Profile for Online Intelligent Education. - Jinze Wu; Haotian Zhang; Zhenya Huang; Liang Ding; Qi Liu 003; Jing Sha; Enhong Chen; Shijin Wang 001 (SDM, 2024)

Bit-mask Robust Contrastive Knowledge Distillation for Unsupervised Semantic Hashing. - Liyang He; Zhenya Huang; Jiayu Liu 001; Enhong Chen; Fei Wang 063; Jing Sha; Shijin Wang 001 (WWW, 2024)

End-to-End Graph Flattening Method for Large Language Models. - Bin Hong; Jinze Wu; Jiayu Liu 001; Liang Ding; Jing Sha; Kai Zhang 038; Shijin Wang 001; Zhenya Huang (CoRR, 2024)

DPFA-UNet: Dual-Path Fusion Attention for Accurate Brain Tumor Segmentation. - Jing Sha; Xu Wang; Zhongyuan Wang; Lu Wang (IET Image Process., 2025)

MMATH: A Multilingual Benchmark for Mathematical Reasoning. - Wenyang Luo; Wayne Xin Zhao; Jing Sha; Shijin Wang 001; Ji-Rong Wen (CoRR, 2025)

CogMath: Assessing LLMs' Authentic Mathematical Ability from a Human Cognitive Perspective. - Jiayu Liu; Zhenya Huang; Wei Dai; Cheng Cheng; Jinze Wu; Jing Sha; Song Li; Qi Liu; Shijin Wang 001; Enhong Chen (CoRR, 2025)