Zixiang Di

24 papers A* 1B 6Journal 10Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
EduResearchBench: A Hierarchical Atomic Task Decomposition Benchmark for Full-Lifecycle Educational Research.
CoRR
Houping Yue, Zixiang Di, Mei Jiang, Bingdong Li, Hao Hao, Yu Song, Bo Jiang, Aimin Zhou
2026 J jnl
Not All Negative Samples Are Equal: LLMs Learn Better from Plausible Reasoning.
CoRR
Zixiang Di, Jinyi Han, Shuo Zhang, Ying Liao, Zhi Li, Xiaofeng Ji, Yongqi Wang, Zheming Yang, Ming Gao, Bingdong Li, Jie Wang
2026 J jnl
Structured Reasoning for Large Language Models.
CoRR
Jinyi Han, Zixiang Di, Zishang Jiang, Ying Liao, Jiaqing Liang, Yongqi Wang, Yanghua Xiao
2025 A* conf
Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models.
AAAI
Bingdong Li, Zixiang Di, Yongfan Lu, Hong Qian, Feng Wang, Peng Yang, Ke Tang, Aimin Zhou
2025 J jnl
Less is More: Enhancing Structured Multi-Agent Reasoning via Quality-Guided Distillation.
CoRR
Jiahao Yuan, Xingzhe Sun, Xing Yu, Jingwen Wang, Dehui Du, Zhiqing Cui, Zixiang Di
2025 — conf
ReflectDiffu: Reflect between Emotion-intent Contagion and Mimicry for Empathetic Response Generation via a RL-Diffusion Framework.
ACL (1)
Jiahao Yuan, Zixiang Di, Zhiqing Cui, Guisong Yang, Usman Naseem
2025 — conf
Reversal of Thought: Enhancing Large Language Models with Preference-Guided Reverse Reasoning Warm-up.
ACL (1)
Jiahao Yuan, Dehui Du, Hao Zhang, Zixiang Di, Usman Naseem
2024 J jnl
Cultural Palette: Pluralising Culture Alignment via Multi-agent Palette.
CoRR
Jiahao Yuan, Zixiang Di, Shangzixin Zhao, Usman Naseem
2024 J jnl
Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models.
CoRR
Bingdong Li, Zixiang Di, Yongfan Lu, Hong Qian, Feng Wang, Peng Yang, Ke Tang, Aimin Zhou
2024 J jnl
It's Morphing Time: Unleashing the Potential of Multiple LLMs via Multi-objective Optimization.
CoRR
Bingdong Li, Zixiang Di, Yanting Yang, Hong Qian, Peng Yang, Hao Hao, Ke Tang, Aimin Zhou
2024 J jnl
ReflectDiffu:Reflect between Emotion-intent Contagion and Mimicry for Empathetic Response Generation via a RL-Diffusion Framework.
CoRR
Jiahao Yuan, Zixiang Di, Zhiqing Cui, Guisong Yang, Usman Naseem
2024 J jnl
Reversal of Thought: Enhancing Large Language Models with Preference-Guided Reverse Reasoning Warm-up.
CoRR
Jiahao Yuan, Dehui Du, Hao Zhang, Zixiang Di, Usman Naseem
2024 J jnl
Towards Geometry-Aware Pareto Set Learning for Neural Multi-Objective Combinatorial Optimization.
CoRR
Yongfan Lu, Zixiang Di, Bingdong Li, Shengcai Liu, Hong Qian, Peng Yang, Ke Tang, Aimin Zhou
2023 — conf
AI-based 5G Resident Ratio Prediction for Multi-Frequency Heterogeneous Networks.
BMSB
Tian Xiao, Bei Li, Tao Huang, Lexi Xu, Chen Cheng, Zixiang Di, Yi Li, Yuting Zheng
2023 — conf
Research on 5G Network Evaluation Method Base on Perceptual Peer to Peer.
BMSB
Xiaomeng Zhu, Yuting Zheng, Bei Li, Yi Li, Yuchao Jin, Rui Xia, Lexi Xu, Zixiang Di, Xinzhou Cheng
2023 — conf
Research on Mobile Network User Complaint Warning Method Based on Multimodal Data.
ICT-DM
Zixiang Di, Tian Xiao, Bei Li, Yunfeng Peng, Jianfei Li, Xinzhou Cheng, Lexi Xu, Xiaomeng Zhu, Hangbo Zheng
2022 B conf
A Novel User Mobility Prediction Scheme based on the Weighted Markov Chain Model.
TrustCom
Yuwei Jia, Kun Chao, Xinzhou Cheng, Lin Lin, Lijuan Cao, Yi Li, Yuchao Jin, Zixiang Di, Chen Cheng
2022 B conf
Coverage Estimation of Wireless Network Using Attention U-Net.
TrustCom
Feibi Lyu, Xinzhou Cheng, Lexi Xu, Liang Liu, Jinjian Qiao, Lu Zhi, Zixiang Di, Tian Xiao, Chen Cheng
2022 B conf
Research on 5G Network Capacity and Expansion.
TrustCom
Xiaomeng Zhu, Yi Li, Yuting Zheng, Rui Xia, Lexi Xu, Bei Li, Zixiang Di, Lu Zhi, Xinzhou Cheng
2022 B conf
Research on Intelligent 5G Remote Interference Avoidance and Clustering Scheme.
TrustCom
Tian Xiao, Bei Li, Zixiang Di, Guanghai Liu, Lexi Xu, Jian Guan, Zhaoning Wang, Chen Cheng, Yi Li
2022 B conf
Research on OTFS Systems for 6G.
TrustCom
Bei Li, Tian Xiao, Kai Zhou, Lexi Xu, Guanghai Liu, Bo Wang, Jie Gao, Jian Guan, Zixiang Di
2022 B conf
Research on Voice Quality Evaluation Method Based on Artificial Neural Network.
TrustCom
Zixiang Di, Tian Xiao, Yi Li, Xinzhou Cheng, Bei Li, Lexi Xu, Xiaomeng Zhu, Lu Zhi, Rui Xia
2021 — conf
Coverage Estimation of Mobile Network Using Supervised Learning Model on Artificial Estimation Dataset.
ICT-DM
Feibi Lyu, Chen Cheng, Jiajia Zhu, Xinzhou Cheng, Lexi Xu, Zhaoning Wang, Jinjian Qiao, Liang Liu, Zixiang Di
2021 — conf
Mobile Network User Perception Prediction based on Random Forest Algorithm.
ICT-DM
Jinjian Qiao, Jiajia Zhu, Xinzhou Cheng, Lexi Xu, Feibi Lyu, Liang Liu, Zhaoning Wang, Zixiang Di