A Cooperative Partial Computation Offloading Scheme for Mobile Edge Computing Enabled Internet of Things. - Zhaolong Ning; Peiran Dong; Xiangjie Kong 001; Feng Xia 001 (IEEE Internet Things J., 2019)

Deep Reinforcement Learning for Intelligent Internet of Vehicles: An Energy-Efficient Computational Offloading Scheme. - Zhaolong Ning; Peiran Dong; Xiaojie Wang 001; Lei Guo 005; Joel J. P. C. Rodrigues; Xiangjie Kong 001; Jun Huang 002; Ricky Yu-Kwong Kwok (IEEE Trans. Cogn. Commun. Netw., 2019)

Deep Reinforcement Learning for Vehicular Edge Computing: An Intelligent Offloading System. - Zhaolong Ning; Peiran Dong; Xiaojie Wang 001; Joel J. P. C. Rodrigues; Feng Xia 001 (ACM Trans. Intell. Syst. Technol., 2019)

Edge Computing Based Healthcare Systems: Enabling Decentralized Health Monitoring in Internet of Medical Things. - Peiran Dong; Zhaolong Ning; Mohammad S. Obaidat; Xin Jiang 004; Yi Guo 007; Xiping Hu; Bin Hu 001; Balqies Sadoun (IEEE Netw., 2020)

When Deep Reinforcement Learning Meets 5G-Enabled Vehicular Networks: A Distributed Offloading Framework for Traffic Big Data. - Zhaolong Ning; Ye Li 002; Peiran Dong; Xiaojie Wang 001; Mohammad S. Obaidat; Xiping Hu; Lei Guo 005; Yi Guo 007; Jun Huang 002; Bin Hu 001 (IEEE Trans. Ind. Informatics, 2020)

Mobile Edge Computing Enabled 5G Health Monitoring for Internet of Medical Things: A Decentralized Game Theoretic Approach. - Zhaolong Ning; Peiran Dong; Xiaojie Wang 001; Xiping Hu; Lei Guo 005; Bin Hu 001; Yi Guo 007; Tie Qiu 001; Ricky Yu-Kwong Kwok (IEEE J. Sel. Areas Commun., 2021)

5G-Enabled UAV-to-Community Offloading: Joint Trajectory Design and Task Scheduling. - Zhaolong Ning; Peiran Dong; Miaowen Wen; Xiaojie Wang 001; Lei Guo 005; Ricky Yu-Kwong Kwok; H. Vincent Poor (IEEE J. Sel. Areas Commun., 2021)

Distributed and Dynamic Service Placement in Pervasive Edge Computing Networks. - Zhaolong Ning; Peiran Dong; Xiaojie Wang 001; Shupeng Wang; Xiping Hu; Song Guo 001; Tie Qiu 001; Bin Hu 001; Ricky Yu-Kwong Kwok (IEEE Trans. Parallel Distributed Syst., 2021)

Internet of UAVs Based Remote Health Monitoring: An Online eHealth System. - Peiran Dong; Xiaojie Wang 001; Shupeng Wang; Yongjian Wang; Zhaolong Ning; Mohammad S. Obaidat (IEEE Wirel. Commun., 2021)

Collaborative Edge Computing for Social Internet of Things: Applications, Solutions, and Challenges. - Peiran Dong; Jingyi Ge; Xiaojie Wang 001; Song Guo 001 (IEEE Trans. Comput. Soc. Syst., 2022)

Partial Computation Offloading and Adaptive Task Scheduling for 5G-Enabled Vehicular Networks. - Zhaolong Ning; Peiran Dong; Xiaojie Wang 001; Xiping Hu; Jiangchuan Liu; Lei Guo 005; Bin Hu 001; Ricky Yu-Kwong Kwok; Victor C. M. Leung (IEEE Trans. Mob. Comput., 2022)

Investigating Trojan Attacks on Pre-trained Language Model-powered Database Middleware. - Peiran Dong; Song Guo 001; Junxiao Wang (KDD, 2023)

Towards Test-Time Refusals via Concept Negation. - Peiran Dong; Song Guo 001; Junxiao Wang; Bingjie Wang; Jiewei Zhang; Ziming Liu (NeurIPS, 2023)

GBE-MLZSL: A Group Bi-Enhancement Framework for Multi-Label Zero-Shot Learning. - Ziming Liu; Jingcai Guo; Xiaocheng Lu; Song Guo 001; Peiran Dong; Jiewei Zhang (CoRR, 2023)

Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring. - Jiewei Zhang; Song Guo 001; Peiran Dong; Jie Zhang 076; Ziming Liu; Yue Yu 001; Xiao-Ming Wu (ICML, 2024)

Towards Safe Concept Transfer of Multi-Modal Diffusion via Causal Representation Editing. - Peiran Dong; Bingjie Wang; Song Guo 001; Junxiao Wang; Jie Zhang 076; Zicong Hong (NeurIPS, 2024)

Poisoning Attack on Federated Knowledge Graph Embedding. - Enyuan Zhou; Song Guo 001; Zhixiu Ma; Zicong Hong; Tao Guo 004; Peiran Dong (WWW, 2024)

Random Sampling for Diffusion-based Adversarial Purification. - Jiancheng Zhang 003; Peiran Dong; Yongyong Chen; Yin-Ping Zhao; Song Guo 001 (CoRR, 2024)

Advanced Video Inpainting Using Optical Flow-Guided Efficient Diffusion. - Bohai Gu; Hao Luo; Song Guo 001; Peiran Dong (CoRR, 2024)

Durable Quantization Conditioned Misalignment Attack on Large Language Models. - Peiran Dong; Haowei Li; Song Guo 001 (ICLR, 2025)

Causally Motivated Sycophancy Mitigation for Large Language Models. - Haoxi Li; Xueyang Tang; Jie Zhang 076; Song Guo 001; Sikai Bai; Peiran Dong; Yue Yu 001 (ICLR, 2025)