A Service Behavior Model for Description of Co-Production Feature of Services. - Tong Mo; Xiaofei Xu; Zhongjie Wang (IESA, 2008)

Architectural Design of BIRIS-Based Marine Logistics Service Platform and Related Interoperability Issues. - Zhongjie Wang; Xiaofei Xu; Dian-Hui Chu; Tong Mo (IESA, 2009)

Service Composition Based Software Solution Design: A Case Study in Automobile Supply Chain. - Tong Mo; Jingmin Xu; Zhongjie Wang; Yufei Ma 009; He Yuan Huang; Yuan Wang; Ying Liu 045; Jun Zhu; Xiaofei Xu (Int. J. Serv. Sci. Manag. Eng. Technol., 2010)

An Event Driven Model for Context-Aware Service. - Tong Mo; Weiping Li; Weijie Chu; Zhonghai Wu (ICWS, 2011)

A Context-Source Abstraction Layer for Context-aware Middleware. - Weijie Chu; Weiping Li; Tong Mo; Zhonghai Wu (ITNG, 2011)

A Case for New Service System Development Method. - Weiping Li; Tong Mo (ICSS, 2015)

A Context Model for Mechanical Ventilation in Grain Storage. - Caiyuan Chen; Xin Shu; Tong Mo; Weiping Li; Chuanzhen Zang; Zhaoan Chen; Yihong Wang (ICSS, 2016)

The Comparison of Decision Tree Based Insurance Churn Prediction between Spark ML and SPSS. - Wei Zhang; Tong Mo; Weiping Li; Hanyu Huang; Xiaogang Tian (ICSS, 2016)

Deep and Shallow Model for Insurance Churn Prediction Service. - Rong Zhang; Weiping Li; Wei Tan; Tong Mo (SCC, 2017)

A Security Vulnerability Threat Classification Method. - Yuanwei Hou; Xingzhang Ren; Yongle Hao; Tong Mo; Weiping Li (BWCCA, 2017)

Review of Deep Learning. - Rong Zhang; Weiping Li; Tong Mo (CoRR, 2018)

An influence-based fast preceding questionnaire model for elderly assessments. - Tong Mo; Rong Zhang; Weiping Li; Jingbo Zhang; Zhonghai Wu; Wei Tan (Intell. Data Anal., 2018)

Enhancing Neural Models with Vulnerability via Adversarial Attack. - Rong Zhang; Qifei Zhou; Bo An 002; Weiping Li; Tong Mo; Bo Wu 018 (COLING, 2020)

Detection by Attack: Detecting Adversarial Samples by Undercover Attack. - Qifei Zhou; Rong Zhang; Bo Wu 018; Weiping Li; Tong Mo (ESORICS (2), 2020)

Legal Feature Enhanced Semantic Matching Network for Similar Case Matching. - Zhilong Hong; Qifei Zhou; Rong Zhang; Weiping Li; Tong Mo (IJCNN, 2020)

Neural Architecture Search for Keyword Spotting. - Tong Mo; Yakun Yu; Mohammad Salameh; Di Niu; Shangling Jui (INTERSPEECH, 2020)

What Do Questions Exactly Ask? MFAE: Duplicate Question Identification with Multi-Fusion Asking Emphasis. - Rong Zhang; Qifei Zhou; Bo Wu 018; Weiping Li; Tong Mo (SDM, 2020)

A Constraint Satisfaction Service Composition Method Supporting One to Many Task Pattern. - Weijie Chu; Yuxuan Wang; Tong Mo; Weiping Li (SCC, 2021)

Bansor: Improving Tensor Program Auto-Scheduling with Bandit Based Reinforcement Learning. - Chao Gao; Tong Mo; Taylor Zowtuk; Tanvir Sajed; Laiyuan Gong; Hanxuan Chen; Shangling Jui; Wei Lu 023 (ICTAI, 2021)

Bilateral Autotrading Framework for Stock Prediction. - Qifei Zhou; Hucheng Liu; Weiping Li; Tong Mo; Bo Wu 018 (IJCNN, 2021)

Encoder-Decoder Neural Architecture Optimization for Keyword Spotting. - Tong Mo; Bang Liu (CoRR, 2021)

KiPT: Knowledge-injected Prompt Tuning for Event Detection. - Haochen Li 001; Tong Mo; Hongcheng Fan; Jingkun Wang; Jiaxi Wang; Fuhao Zhang; Weiping Li (COLING, 2022)

Exploiting Hybrid Semantics of Relation Paths for Multi-hop Question Answering over Knowledge Graphs. - Zile Qiao; Wei Ye 004; Tong Zhang 001; Tong Mo; Weiping Li; Shikun Zhang (COLING, 2022)

DESED: Dialogue-based Explanation for Sentence-level Event Detection. - Yinyi Wei; Shuaipeng Liu; Jianwei Lv; Xiangyu Xi; Hailei Yan; Wei Ye 004; Tong Mo; Fan Yang 087; Guanglu Wan (COLING, 2022)

Eliciting Knowledge from Pretrained Language Models for Prototypical Prompt Verbalizer. - Yinyi Wei; Tong Mo; Yongtao Jiang; Weiping Li; Wen Zhao (ICANN (2), 2022)

HRET: Heterogeneous Information Network for Recommendation in testing and inspection. - Liwen Zhang 004; Weiping Li; Tong Mo; Weijie Chu (ICSS, 2022)

A Memory-Bounded Best-First Beam Search and Its Application to Scheduling Halide Programs. - Chao Gao; Jingwei Chen; Tong Mo; Tanvir Sajed; Shangling Jui; Min Qin; Laiyuan Gong; Wei Lu 023 (SOCS, 2022)

Improving Knowledge Graph Completion with Generative Hard Negative Mining. - Zile Qiao; Wei Ye 004; Dingyao Yu; Tong Mo; Weiping Li; Shikun Zhang (ACL (Findings), 2023)

Exploiting Pseudo Future Contexts for Emotion Recognition in Conversations. - Yinyi Wei; Shuaipeng Liu; Hailei Yan; Wei Ye 004; Tong Mo; Guanglu Wan (ADMA (1), 2023)

PMJEE: A Prototype Matching Framework for Joint Event Extraction. - Haochen Li 001; Tong Mo; Di Geng; Weiping Li (DASFAA (4), 2023)

Adversarial Learning Enhanced Social Interest Diffusion Model for Recommendation. - Jiaxi Wang; Haochen Li 001; Tong Mo; Weiping Li (DASFAA (2), 2023)

Whisker Analysis Framework for Unrestricted Mice with Neural Networks. - Zhijie Tan; Shengwei Meng; Yujia Tan; Yiqun Wu; Yi Li; Tong Mo; Weiping Li (ICANN (5), 2023)

Heterogeneous Graph Fusion with Adversarial Learning for Recommendation Service. - Jiaxi Wang; Tong Mo; Weiping Li (ICONIP (9), 2023)

A Composite Service Selection Approach Based on Functionality Folding and Reinforcement Learning. - Weijie Chu; Yun Chen; YiFeng Xiang; Tong Mo; Weiping Li (ICSS, 2023)

A Cross-Modal Face Reconstruction Method for Service on Blockchains. - Zhijie Tan; Xiang Yuan; Siying Cui; Yuzhi Li; Zhonghai Wu; Tong Mo; Weiping Li (ICSS, 2023)

Building a Modal-balanced BlockChain with Semantic Reconstruction. - Zhijie Tan; Xiang Yuan; Shengwei Meng; Yakun Huang; Weiping Li; Zhonghai Wu; Tong Mo (CoRR, 2023)

Riskformer: Survival prediction from MR imaging in patients with IDH-wildtype glioblastoma. - Huixia You; Jiankai Zhang; Yuanshen Zhao; Tong Mo; Diangang Fang; Xiaofei Lv; Zhicheng Li 001; Haifeng Wang 003; Dong Liang 001; Hongwu Zeng; Yinsheng Chen (Displays, 2023)

Exploration of Professional Master's Talent Cultivation in Service Computing under the New Situation. - Tong Mo; Ziyu Li; Weiping Li (SSE, 2024)

Social Relation Enhanced Heterogeneous Graph Contrastive Learning for Recommendation. - Jiaxi Wang; Bingce Wang; Liwen Zhang; Tong Mo; Weiping Li (DASFAA (6), 2024)

A Trustworthy Service Transaction Framework for Privacy Protection. - Ziyu Li; Tong Mo; Weiping Li; Zhiying Tu (ICSS, 2024)

LLM-MHR: A LLM-Augmented Multimodal Hashtag Recommendation Algorithm. - Zhijie Tan; Yuzhi Li; Xiang Yuan; Shengwei Meng; Weiping Li; Tong Mo (ICWS, 2024)

GLFF: A Global-Local Feature Fusion Model to Segment Epileptic Focus of Focal Cortical Dysplasia from Multi-Channel MR Images. - Xiaodong Zhang; Changmiao Wang; Fengjun Zhu; Tong Mo; Yang Sun; Lin Li; Qingmao Hu; Jinping Xu; Dezhi Cao (ISBI, 2024)

Aeroengine performance prediction using a physical-embedded data-driven method. - Tong Mo; Shiran Dai; An Fu; Xiaomeng Zhu 005; Shuxiao Li (CoRR, 2024)

Order Matters: Exploring Order Sensitivity in Multimodal Large Language Models. - Zhijie Tan; Xu Chu 001; Weiping Li; Tong Mo (CoRR, 2024)

SEMScene: Semantic-Consistency Enhanced Multi-Level Scene Graph Matching for Image-Text Retrieval. - Yuankun Liu; Xiang Yuan; Haochen Li 001; Zhijie Tan; Jinsong Huang; Jingjie Xiao; Weiping Li; Tong Mo (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Teaching Practice and Innovation in the Professional Master's Degree Program in Electronic Information at Peking University in the Era of Artificial Intelligence. - Tong Mo; Weiping Li; Liwen Zhang (SSE, 2025)

Domaino1s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains. - Xu Chu 001; Zhijie Tan; Hanlin Xue; Guanyu Wang 002; Tong Mo; Weiping Li (ACL (Findings), 2025)

Adaptive Spatiotemporal Augmentation for Improving Dynamic Graph Learning. - Xu Chu 001; Hanlin Xue; Bingce Wang; Xiaoyang Liu; Weiping Li; Tong Mo; Tuoyu Feng; Zhijie Tan (ICASSP, 2025)

Mitigating Hallucinations on Object Attributes using Multiview Images and Negative Instructions. - Zhijie Tan; Yuzhi Li; Shengwei Meng; Xiang Yuan; Weiping Li; Tong Mo; Bingce Wang; Xu Chu 001 (ICASSP, 2025)

Supportiveness-based Knowledge Rewriting for Retrieval-augmented Language Modeling. - Zile Qiao; Wei Ye 004; Yong Jiang 005; Tong Mo; Pengjun Xie; Weiping Li; Fei Huang 002; Shikun Zhang (NAACL (Findings), 2025)

EquityNet: Unveiling Corporate Equity Relationships in Business Conglomerates Using Graph Neural Networks and GDV Features. - B. Li; Bingce Wang; Lifeng Li; Weiping Li; Tong Mo (PAKDD (1), 2025)

GraphSOS: Graph Sampling and Order Selection to Help LLMs Understand Graphs Better. - Xu Chu 001; Hanlin Xue; Zhijie Tan; Bingce Wang; Tong Mo; Weiping Li (CoRR, 2025)

CLEAR-KGQA: Clarification-Enhanced Ambiguity Resolution for Knowledge Graph Question Answering. - Liqiang Wen; Guanming Xiong; Tong Mo; Bing Li; Weiping Li; Wen Zhao (CoRR, 2025)

Qwen Look Again: Guiding Vision-Language Reasoning Models to Re-attention Visual Information. - Xu Chu 001; Xinrong Chen; Guanyu Wang 002; Zhijie Tan; Kui Huang; Wenyu Lv; Tong Mo; Weiping Li (CoRR, 2025)

GuiLoMo: Allocating Expert Number and Rank for LoRA-MoE via Bilevel Optimization with GuidedSelection Vectors. - Hengyuan Zhang; Xinrong Chen; Yingmin Qiu; Xiao Liang; Ziyue Li; Guanyu Wang; Weiping Li; Tong Mo; Wenyue Li; Hayden Kwok-Hay So; Ngai Wong 001 (CoRR, 2025)