Coverage Estimation of Mobile Network Using Supervised Learning Model on Artificial Estimation Dataset. - Feibi Lyu; Chen Cheng; Jiajia Zhu; Xinzhou Cheng; Lexi Xu; Zhaoning Wang; Jinjian Qiao; Liang Liu; Zixiang Di (ICT-DM, 2021)

Mobile Network User Perception Prediction based on Random Forest Algorithm. - Jinjian Qiao; Jiajia Zhu; Xinzhou Cheng; Lexi Xu; Feibi Lyu; Liang Liu; Zhaoning Wang; Zixiang Di (ICT-DM, 2021)

Research on Voice Quality Evaluation Method Based on Artificial Neural Network. - Zixiang Di; Tian Xiao; Yi Li 053; Xinzhou Cheng; Bei Li; Lexi Xu; Xiaomeng Zhu 001; Lu Zhi; Rui Xia (TrustCom, 2022)

A Novel User Mobility Prediction Scheme based on the Weighted Markov Chain Model. - Yuwei Jia; Kun Chao; Xinzhou Cheng; Lin Lin; Lijuan Cao; Yi Li 053; Yuchao Jin; Zixiang Di; Chen Cheng (TrustCom, 2022)

Research on OTFS Systems for 6G. - Bei Li; Tian Xiao; Kai Zhou; Lexi Xu; Guanghai Liu 002; Bo Wang; Jie Gao; Jian Guan; Zixiang Di (TrustCom, 2022)

Coverage Estimation of Wireless Network Using Attention U-Net. - Feibi Lyu; Xinzhou Cheng; Lexi Xu; Liang Liu; Jinjian Qiao; Lu Zhi; Zixiang Di; Tian Xiao; Chen Cheng (TrustCom, 2022)

Research on Intelligent 5G Remote Interference Avoidance and Clustering Scheme. - Tian Xiao; Bei Li; Zixiang Di; Guanghai Liu 002; Lexi Xu; Jian Guan; Zhaoning Wang; Chen Cheng; Yi Li 053 (TrustCom, 2022)

Research on 5G Network Capacity and Expansion. - Xiaomeng Zhu 001; Yi Li 053; Yuting Zheng; Rui Xia; Lexi Xu; Bei Li; Zixiang Di; Lu Zhi; Xinzhou Cheng (TrustCom, 2022)

AI-based 5G Resident Ratio Prediction for Multi-Frequency Heterogeneous Networks. - Tian Xiao; Bei Li; Tao Huang; Lexi Xu; Chen Cheng; Zixiang Di; Yi Li 053; Yuting Zheng (BMSB, 2023)

Research on 5G Network Evaluation Method Base on Perceptual Peer to Peer. - Xiaomeng Zhu 001; Yuting Zheng; Bei Li; Yi Li 053; Yuchao Jin; Rui Xia; Lexi Xu; Zixiang Di; Xinzhou Cheng (BMSB, 2023)

Research on Mobile Network User Complaint Warning Method Based on Multimodal Data. - Zixiang Di; Tian Xiao; Bei Li; Yunfeng Peng; Jianfei Li; Xinzhou Cheng; Lexi Xu; Xiaomeng Zhu 001; Hangbo Zheng (ICT-DM, 2023)

Towards Geometry-Aware Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization. - Yongfan Lu; Zixiang Di; Bingdong Li; Shengcai Liu; Hong Qian; Peng Yang 008; Ke Tang 001; Aimin Zhou (CoRR, 2024)

Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models. - Bingdong Li; Zixiang Di; Yongfan Lu; Hong Qian; Feng Wang; Peng Yang 008; Ke Tang 001; Aimin Zhou (CoRR, 2024)

It's Morphing Time: Unleashing the Potential of Multiple LLMs via Multi-objective Optimization. - Bingdong Li; Zixiang Di; Yanting Yang; Hong Qian; Peng Yang 008; Hao Hao; Ke Tang 001; Aimin Zhou (CoRR, 2024)

ReflectDiffu:Reflect between Emotion-intent Contagion and Mimicry for Empathetic Response Generation via a RL-Diffusion Framework. - Jiahao Yuan; Zixiang Di; Zhiqing Cui; Guisong Yang; Usman Naseem (CoRR, 2024)

Cultural Palette: Pluralising Culture Alignment via Multi-agent Palette. - Jiahao Yuan; Zixiang Di; Shangzixin Zhao; Usman Naseem (CoRR, 2024)

Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models. - Bingdong Li; Zixiang Di; Yongfan Lu; Hong Qian; Feng Wang; Peng Yang; Ke Tang 001; Aimin Zhou (AAAI, 2025)

ReflectDiffu: Reflect between Emotion-intent Contagion and Mimicry for Empathetic Response Generation via a RL-Diffusion Framework. - Jiahao Yuan; Zixiang Di; Zhiqing Cui; Guisong Yang; Usman Naseem (ACL (1), 2025)

Reversal of Thought: Enhancing Large Language Models with Preference-Guided Reverse Reasoning Warm-up. - Jiahao Yuan; Dehui Du; Hao Zhang; Zixiang Di; Usman Naseem (ACL (1), 2025)

Less is More: Enhancing Structured Multi-Agent Reasoning via Quality-Guided Distillation. - Jiahao Yuan; Xingzhe Sun; Xing Yu; Jingwen Wang; Dehui Du; Zhiqing Cui; Zixiang Di (CoRR, 2025)