A Universal Intelligence Measurement Method Based on Meta-analysis. - Zheming Yang; Wen Ji (APSIPA, 2019)

Crowd Intelligence Empowered Video Transmission in Ultra-low-bandwidth Constrained Circumstances. - Hexiang Qiao; Zheming Yang; Bing Liang; Wen Ji (ISPA/BDCloud/SocialCom/SustainCom, 2020)

A Quality- Time Model of Heterogeneous Agents Measure for Crowd Intelligence. - Zheming Yang; Wen Ji (ISPA/BDCloud/SocialCom/SustainCom, 2020)

Understanding Crowd Intelligence in Large-scale Systems: A Hierarchical Binary Particle Swarm Optimization Approach. - Linqing Zhai; Zheming Yang; Wen Ji (ISPA/BDCloud/SocialCom/SustainCom, 2020)

Meta measurement of intelligence with crowd network. - Zheming Yang; Wen Ji (Int. J. Crowd Sci., 2020)

Crowd V-IoE: Visual Internet of Everything Architecture in AI-Driven Fog Computing. - Wen Ji; Bing Liang; Yuqin Wang; Rui Qiu; Zheming Yang (IEEE Wirel. Commun., 2020)

Crowd evolution method based on intelligence level clustering. - Lulu Ge; Zheming Yang; Wen Ji (Int. J. Crowd Sci., 2021)

An intelligence optimization method based on crowd intelligence for IoT devices. - Ke Wang; Zheming Yang; Bing Liang; Wen Ji (Int. J. Crowd Sci., 2021)

An Intelligent End-Edge-Cloud Architecture for Visual IoT-Assisted Healthcare Systems. - Zheming Yang; Bing Liang; Wen Ji (IEEE Internet Things J., 2021)

JAVP: Joint-Aware Video Processing with Edge-Cloud Collaboration for DNN Inference. - Zheming Yang; Wen Ji; Qi Guo; Zhi Wang 001 (ACM Multimedia, 2023)

JVAP: A Joint Video Acceleration Processing Architecture for Online Edge Systems. - Ningzhou Li; Zheming Yang; Mingxuan Li 002; Wen Ji (SMC, 2023)

Visual E2C: AI-Driven Visual End-Edge-Cloud Architecture for 6G in Low-Carbon Smart Cities. - Zheming Yang; Dieli Hu 001; Qi Guo; Lulu Zuo; Wen Ji (IEEE Wirel. Commun., 2023)

DSP: Dynamic Sequence Parallelism for Multi-Dimensional Transformers. - Xuanlei Zhao; Shenggan Cheng; Zangwei Zheng; Zheming Yang; Ziming Liu; Yang You 001 (CoRR, 2024)

PerLLM: Personalized Inference Scheduling with Edge-Cloud Collaboration for Diverse LLM Services. - Zheming Yang; Yuanhao Yang; Chang Zhao; Qi Guo; Wenkai He; Wen Ji (CoRR, 2024)

CDIO: Cross-Domain Inference Optimization with Resource Preference Prediction for Edge-Cloud Collaboration. - Zheming Yang; Wen Ji; Qi Guo; Dieli Hu 001; Chang Zhao; Xiaowei Li; Xuanlei Zhao; Yi Zhao; Chaoyu Gong; Yang You 001 (CoRR, 2025)

Reinforced MLLM: A Survey on RL-Based Reasoning in Multimodal Large Language Models. - Guanghao Zhou; Panjia Qiu; Cen Chen 001; Jie Wang 042; Zheming Yang; Jian Xu; Minghui Qiu (CoRR, 2025)

Recursive Offloading for LLM Serving in Multi-tier Networks. - Zhiyuan Wu; Sheng Sun; Yuwei Wang; Min Liu; Bo Gao; Jinda Lu; Zheming Yang; Tian Wen (CoRR, 2025)

GThinker: Towards General Multimodal Reasoning via Cue-Guided Rethinking. - Yufei Zhan; Ziheng Wu; Yousong Zhu; Rongkun Xue; Ruipu Luo; Zhenghao Chen; Can Zhang; Yifan Li; Zhentao He; Zheming Yang; Ming Tang 001; Minghui Qiu; et al. (CoRR, 2025)

EC2MoE: Adaptive End-Cloud Pipeline Collaboration Enabling Scalable Mixture-of-Experts Inference. - Zheming Yang; Yunqing Hu; Sheng Sun; Wen Ji (CoRR, 2025)

CURE: Critical-Token-Guided Re-Concatenation for Entropy-Collapse Prevention. - Qingbin Li; Rongkun Xue; Jie Wang; Ming Zhou; Zhi Li; Xiaofeng Ji; Yongqi Wang; Miao Liu; Zheming Yang; Minghui Qiu; Jing Yang (CoRR, 2025)