Trust Mechanisms for Efficiency Improvement in Collaborative Working Environments. - Xingyu Zheng; Patrick Maillé; Cam Tu Phan Le; Stephane Morucci (MASCOTS, 2010)

Improving the efficiency of collaborative work with trust management. - Xingyu Zheng; Patrick Maillé; Cam Tu Phan Le; Stephane Morucci (Integrated Network Management, 2011)

Evaluating Indoor Positioning Systems in a Shopping Mall: The Lessons Learned From the IPIN 2018 Competition. - Valérie Renaudin; Miguel Ortiz; Johan Perul; Joaquín Torres-Sospedra; Antonio Ramón Jiménez; Antoni Pérez-Navarro; Germán Martín Mendoza-Silva; Fernando Seco; Yael Landau; Revital Marbel; Boaz Ben-Moshe; Xingyu Zheng; et al. (IEEE Access, 2019)

Comparison of pathway and gene-level models for cancer prognosis prediction. - Xingyu Zheng; Christopher I. Amos; H. Robert Frost (BMC Bioinform., 2020)

Cancer prognosis prediction using somatic point mutation and copy number variation data: a comparison of gene-level and pathway-based models. - Xingyu Zheng; Christopher I. Amos; H. Robert Frost (BMC Bioinform., 2020)

Representation-guided generative adversarial network for unpaired photo-to-caricature translation. - Ziqiang Zheng; Hongzhi Liu 002; Fan Yang 032; Xingyu Zheng; Zhibin Yu 002; Shaoda Zhang (Comput. Electr. Eng., 2021)

A Novel 3-D Indoor Localization Algorithm Based on BLE and Multiple Sensors. - Yue Yu 003; Ruizhi Chen; Liang Chen 007; Xingyu Zheng; Dewen Wu; Wei Li 085; Yuan Wu 006 (IEEE Internet Things J., 2021)

An Enhanced Smartphone Indoor Positioning Scheme with Outlier Removal Using Machine Learning. - Zhenbing Zhang; Jingbin Liu; Lei Wang 045; Guangyi Guo; Xingyu Zheng; Xiaodong Gong; Sheng Yang; Gege Huang (Remote. Sens., 2021)

Modulated-Virtual-Vector-Based Predictive Current Control for Dual Three-Phase PMSM With Enhanced Steady-State Performance. - Ze Li 006; Xingyu Zheng; Jinhui Xia; Liling Wang; Yuanbo Guo; Xiaonan Gao; Zhiheng Liu; Xiaohua Zhang (IECON, 2023)

Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks. - Jun Guo 009; Xingyu Zheng; Aishan Liu; Siyuan Liang; Yisong Xiao; Yichao Wu; Xianglong Liu 001 (ACM Multimedia, 2023)

A Novel Device-Free Positioning Method Based on Wi-Fi CSI with NLOS Detection and Bayes Classification. - Xingyu Zheng; Ruizhi Chen; Liang Chen 007; Lei Wang 045; Yue Yu 003; Zhenbing Zhang; Wei Li 085; Yu Pei; Dewen Wu; Yanlin Ruan (Remote. Sens., 2023)

Accurate LoRA-Finetuning Quantization of LLMs via Information Retention. - Haotong Qin; Xudong Ma; Xingyu Zheng; Xiaoyang Li; Yang Zhang 088; Shouda Liu; Jie Luo 004; Xianglong Liu 001; Michele Magno (ICML, 2024)

BiDM: Pushing the Limit of Quantization for Diffusion Models. - Xingyu Zheng; Xianglong Liu 001; Yichen Bian; Xudong Ma; Yulun Zhang 001; Jiakai Wang; Jinyang Guo; Haotong Qin (NeurIPS, 2024)

New classes of nearly optimal time-hopping sequence sets for UWB systems. - Peihua Li; Xingyu Zheng; Cuiling Fan (Adv. Math. Commun., 2024)

BinaryDM: Towards Accurate Binarization of Diffusion Model. - Xingyu Zheng; Haotong Qin; Xudong Ma; Mingyuan Zhang; Haojie Hao; Jiakai Wang; Zixiang Zhao; Jinyang Guo; Xianglong Liu 001 (CoRR, 2024)

How Good Are Low-bit Quantized LLaMA3 Models? An Empirical Study. - Wei Huang 042; Xudong Ma; Haotong Qin; Xingyu Zheng; Chengtao Lv; Hong Chen 014; Jie Luo 004; Xiaojuan Qi 001; Xianglong Liu 001; Michele Magno (CoRR, 2024)

A Survey of Low-bit Large Language Models: Basics, Systems, and Algorithms. - Ruihao Gong; Yifu Ding; Zining Wang; Chengtao Lv; Xingyu Zheng; Jinyang Du; Haotong Qin; Jinyang Guo; Michele Magno; Xianglong Liu 001 (CoRR, 2024)

AniSora: Exploring the Frontiers of Animation Video Generation in the Sora Era. - Yudong Jiang; Baohan Xu; Siqian Yang; Mingyu Yin; Jing Liu; Chao Xu; Siqi Wang; Yidi Wu; Bingwen Zhu; Xinwen Zhang; Xingyu Zheng; Jixuan Xu; et al. (CoRR, 2024)

An empirical study of LLaMA3 quantization: from LLMs to MLLMs. - Wei Huang 042; Xingyu Zheng; Xudong Ma; Haotong Qin; Chengtao Lv; Hong Chen 014; Jie Luo 004; Xiaojuan Qi 001; Xianglong Liu 001; Michele Magno (Vis. Intell., 2024)

FCN-Attention: A deep learning UWB NLOS/LOS classification algorithm using fully convolution neural network with self-attention mechanism. - Yu Pei; Ruizhi Chen; Deren Li; Xiongwu Xiao; Xingyu Zheng (Geo spatial Inf. Sci., 2024)

BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models. - Xingyu Zheng; Xianglong Liu 001; Haotong Qin; Xudong Ma; Mingyuan Zhang; Haojie Hao; Jiakai Wang; Zixiang Zhao; Jinyang Guo; Michele Magno (ICLR, 2025)

Delays in generalization match delayed changes in representational geometry. - Xingyu Zheng; Kyle Daruwalla; Ari S. Benjamin; David Klindt (UniReps, 2025)

Optimal combinatorial neural codes via symmetric designs. - Xingyu Zheng; Shukai Wang; Cuiling Fan (Des. Codes Cryptogr., 2025)

PEAKS: Selecting Key Training Examples Incrementally via Prediction Error Anchored by Kernel Similarity. - Mustafa Burak Gurbuz; Xingyu Zheng; Constantine Dovrolis (CoRR, 2025)

Knitting Robots: A Deep Learning Approach for Reverse-Engineering Fabric Patterns. - Haoliang Sheng; Songpu Cai; Xingyu Zheng; Meng Cheng Lau (CoRR, 2025)

An Empirical Study of Qwen3 Quantization. - Xingyu Zheng; Yuye Li; Haoran Chu; Yue Feng; Xudong Ma; Jie Luo 004; Jinyang Guo; Haotong Qin; Michele Magno; Xianglong Liu 001 (CoRR, 2025)

Wide-Gap Frequency Hopping Sequences With No-Hit-Zone: Bounds and Their Optimal Constructions. - Xingyu Zheng; Cuiling Fan; Zhengchun Zhou; Sihem Mesnager; Yang Yang 005 (IEEE Trans. Inf. Theory, 2025)

First-Order Error Matters: Accurate Compensation for Quantized Large Language Models. - Xingyu Zheng; Haotong Qin; Yuye Li; Jiakai Wang; Jinyang Guo; Michele Magno; Xianglong Liu 001 (CoRR, 2025)