Several Generalized Interval-Valued 2-Tuple Linguistic Interval Distance Measures and Their Application. - Fanyong Meng 001; Yige Yuan; Xiaohong Chen 001 (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2017)

A New GNSS Spoofing Detection Method Using Two Antennas. - Jiajia Chen; Ying Xu; Hong Yuan; Yige Yuan (IEEE Access, 2020)

Hierarchical Estimation for Effective and Efficient Sampling Graph Neural Network. - Yang Li; Bingbing Xu 001; Qi Cao; Yige Yuan; Huawei Shen (CoRR, 2022)

Augmentation-Aware Self-Supervision for Data-Efficient GAN Training. - Liang Hou; Qi Cao; Yige Yuan; Songtao Zhao; Chongyang Ma; Siyuan Pan; Pengfei Wan 001; Zhongyuan Wang; Huawei Shen; Xueqi Cheng (NeurIPS, 2023)

Anomaly detection method based on penalty least squares algorithm and time window entropy for Cyber-Physical Systems. - Jing Zhang 098; Yige Yuan; Jiahong Zhang; Yang Yang 135; Wenjin Xie (J. King Saud Univ. Comput. Inf. Sci., 2023)

PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion. - Yige Yuan; Bingbing Xu 001; Bo Lin; Liang Hou; Fei Sun 001; Huawei Shen; Xueqi Cheng (AAAI, 2024)

TEA: Test-Time Energy Adaptation. - Yige Yuan; Bingbing Xu 001; Liang Hou; Fei Sun 001; Huawei Shen; Xueqi Cheng (CVPR, 2024)

History Driven Sampling for Scalable Graph Neural Networks. - Yang Li; Bingbing Xu 001; Fei Sun 001; Qi Cao; Yige Yuan; Huawei Shen; Xueqi Cheng (DASFAA (6), 2024)

How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective. - Teng Xiao; Mingxiao Li 004; Yige Yuan; Huaisheng Zhu; Chao Cui; Vasant G. Honavar (EMNLP, 2024)

Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment. - Teng Xiao; Yige Yuan; Huaisheng Zhu; Mingxiao Li 004; Vasant G. Honavar (NeurIPS, 2024)

Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning. - Zixu Wang; Bingbing Xu 001; Yige Yuan; Huawei Shen; Xueqi Cheng (SIGIR, 2024)

MITA: Bridging the Gap between Model and Data for Test-time Adaptation. - Yige Yuan; Bingbing Xu 001; Teng Xiao; Liang Hou; Fei Sun 001; Huawei Shen; Xueqi Cheng (CoRR, 2024)

Fact-Level Confidence Calibration and Self-Correction. - Yige Yuan; Bingbing Xu 001; Hexiang Tan; Fei Sun 001; Teng Xiao; Wei Li 176; Huawei Shen; Xueqi Cheng (CoRR, 2024)

Towards generalizable Graph Contrastive Learning: An information theory perspective. - Yige Yuan; Bingbing Xu 001; Huawei Shen; Qi Cao; Keting Cen; Wen Zheng; Xueqi Cheng (Neural Networks, 2024)

Novel Distance Measures of q-Rung Orthopair Fuzzy Sets and Their Applications. - Donglai Wang; Yige Yuan; Zhe Liu 041; Sijia Zhu; Zhifang Sun (Symmetry, 2024)

From Outcomes to Processes: Guiding PRM Learning from ORM for Inference-Time Alignment. - Bin Xie; Bingbing Xu 001; Yige Yuan; Shengmao Zhu; Huawei Shen (ACL (1), 2025)

SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters. - Teng Xiao; Yige Yuan; Zhengyu Chen 001; Mingxiao Li 004; Shangsong Liang; Zhaochun Ren; Vasant G. Honavar (ICLR, 2025)

On a Connection Between Imitation Learning and RLHF. - Teng Xiao; Yige Yuan; Mingxiao Li 004; Zhengyu Chen 001; Vasant G. Honavar (ICLR, 2025)

InfoNCE is a Free Lunch for Semantically guided Graph Contrastive Learning. - Zixu Wang; Bingbing Xu 001; Yige Yuan; Huawei Shen; Xueqi Cheng (SIGIR, 2025)

Fact-Level Calibration and Correction for Long-Form Generations. - Yige Yuan; Bingbing Xu 001; Hexiang Tan; Fei Sun 001; Teng Xiao; Wei Li 176; Huawei Shen; Xueqi Cheng (SIGIR, 2025)

Unveiling the Potential of LLMs in Simulated Society: A Knowledge-Driven LLM Agent Framework for User Modeling. - Shengmao Zhu; Bingbing Xu 001; Yige Yuan; Bin Xie; Yunfan Li; Huawei Shen (WWW (Companion Volume), 2025)

MIGE: A Unified Framework for Multimodal Instruction-Based Image Generation and Editing. - Xueyun Tian; Wei Li 176; Bingbing Xu 001; Yige Yuan; Yuanzhuo Wang; Huawei Shen (CoRR, 2025)

Incentivizing Strong Reasoning from Weak Supervision. - Yige Yuan; Teng Xiao; Shuchang Tao; Xue Wang 010; Jinyang Gao; Bolin Ding; Bingbing Xu 001 (CoRR, 2025)

Inference-time Alignment in Continuous Space. - Yige Yuan; Teng Xiao; Li Yunfan; Bingbing Xu 001; Shuchang Tao; Yunqi Qiu; Huawei Shen; Xueqi Cheng (CoRR, 2025)