Quantitative style analysis of Mo Yan and Zhang Wei's novels. - Yunxuan Li; Weiyun Ji; Dekuan Xu (WI, 2017)

Exploratory Methods for Imbalanced Data Classification in Online Recruitment Fraud Detection: A Comparative Analysis. - Jiaxu Li; Yunxuan Li; Hongjian Han; Xin Lu 002 (ICCBD, 2021)

Unsupervised Depth Completion and Denoising for RGB-D Sensors. - Lei Fan 005; Yunxuan Li; Chen Jiang; Ying Wu 001 (ICRA, 2022)

Ensuring Situation-Aware Privacy for Connected Vehicles. - Yunxuan Li; Pascal Hirmer; Christoph Stach; Bernhard Mitschang (IOT, 2022)

In-depth Analysis of Traffic Conflicts at Interchange Merging Areas Based on Bayesian Network and Conflict chain. - Xin Gu; Yinjia Guo; Yuntong Zhou; Yunxuan Li; Yanyan Chen (ITSC, 2022)

Multi-node Cooperative Recovery against IP node failure Enabled by Flexible Optical Network. - Yunxuan Li; Rentao Gu; Yuefeng Ji (OFC, 2023)

CV-Priv: Towards a Context Model for Privacy Policy Creation for Connected Vehicles. - Yunxuan Li; Pascal Hirmer; Christoph Stach (PerCom Workshops, 2023)

Privacy in Connected Vehicles: Perspectives of Drivers and Car Manufacturers. - Andrea Fieschi; Yunxuan Li; Pascal Hirmer; Christoph Stach; Bernhard Mitschang (SummerSOC, 2023)

Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts. - Sheng Shen 001; Le Hou; Yanqi Zhou; Nan Du 002; Shayne Longpre; Jason Wei; Hyung Won Chung; Barret Zoph; William Fedus; Xinyun Chen; Tu Vu; Yuexin Wu; et al. (CoRR, 2023)

Enable Language Models to Implicitly Learn Self-Improvement From Data. - Ziqi Wang 003; Le Hou; Tianjian Lu; Yuexin Wu; Yunxuan Li; Hongkun Yu 001; Heng Ji 001 (CoRR, 2023)

A Superposition Assessment Framework of Multi-Source Traffic Risks for Mega-Events Using Risk Field Model and Time-Series Generative Adversarial Networks. - Zeyang Cheng; Jian Lu; Heng Ding; Yunxuan Li; Haijian Bai; Weihua Zhang (IEEE Trans. Intell. Transp. Syst., 2023)

Evidential Active Recognition: Intelligent and Prudent Open-World Embodied Perception. - Lei Fan 005; Mingfu Liang; Yunxuan Li; Gang Hua 001; Ying Wu 001 (CVPR, 2024)

LALO - A Virtual Data Lake Zone for Composing Tailor-Made Data Products on Demand. - Christoph Stach; Yunxuan Li; Laura Schuiki; Bernhard Mitschang (DEXA (2), 2024)

Improving Multi-Agent Debate with Sparse Communication Topology. - Yunxuan Li; Yibing Du; Jiageng Zhang; Le Hou; Peter Grabowski; Yeqing Li; Eugene Ie (EMNLP (Findings), 2024)

Conditional Language Policy: A General Framework For Steerable Multi-Objective Finetuning. - Kaiwen Wang; Rahul Kidambi; Ryan Sullivan; Alekh Agarwal; Christoph Dann; Andrea Michi; Marco Gelmi; Yunxuan Li; Raghav Gupta; Avinava Dubey; Alexandre Ramé; Johan Ferret; et al. (EMNLP (Findings), 2024)

Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision. - Zihan Wang 001; Yunxuan Li; Yuexin Wu; Liangchen Luo; Le Hou; Hongkun Yu 001; Jingbo Shang (EMNLP (Findings), 2024)

Learning to Ask Denotative and Connotative Questions for Knowledge-based VQA. - Xiaoying Xing; Peixi Xiong; Lei Fan 005; Yunxuan Li; Ying Wu 001 (EMNLP (Findings), 2024)

Enabling Lanuguage Models to Implicitly Learn Self-Improvement. - Ziqi Wang 003; Le Hou; Tianjian Lu; Yuexin Wu; Yunxuan Li; Hongkun Yu 001; Heng Ji 001 (ICLR, 2024)

Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models. - Sheng Shen 001; Le Hou; Yanqi Zhou; Nan Du 002; Shayne Longpre; Jason Wei; Hyung Won Chung; Barret Zoph; William Fedus; Xinyun Chen; Tu Vu; Yuexin Wu; et al. (ICLR, 2024)

Opti-DeepRoute: A Topology-Adaptive Deep Reinforcement Learning Based Service Provisioning Framework for Elastic Optical Network. - Zexi Zhou; Rentao Gu; Xiaoya Zhang; Yunxuan Li; Lin Bai 005; Yuefeng Ji (INFOCOM (Workshops), 2024)

PaDS: An adaptive and privacy-enabling Data Pipeline for Smart Cars. - Yunxuan Li; Christoph Stach; Bernhard Mitschang (MDM, 2024)

Improve Mathematical Reasoning in Language Models by Automated Process Supervision. - Liangchen Luo; Yinxiao Liu; Rosanne Liu; Samrat Phatale; Harsh Lara; Yunxuan Li; Lei Shu 004; Yun Zhu; Lei Meng 008; Jiao Sun; Abhinav Rastogi (CoRR, 2024)

Conditioned Language Policy: A General Framework for Steerable Multi-Objective Finetuning. - Kaiwen Wang; Rahul Kidambi; Ryan Sullivan; Alekh Agarwal; Christoph Dann; Andrea Michi; Marco Gelmi; Yunxuan Li; Raghav Gupta; Avinava Dubey; Alexandre Ramé; Johan Ferret; et al. (CoRR, 2024)

Scaling Instruction-Finetuned Language Models. - Hyung Won Chung; Le Hou; Shayne Longpre; Barret Zoph; Yi Tay; William Fedus; Yunxuan Li; Xuezhi Wang 002; Mostafa Dehghani 001; Siddhartha Brahma; Albert Webson; Shixiang Shane Gu; et al. (J. Mach. Learn. Res., 2024)

Robust Multi-Objective Preference Alignment with Online DPO. - Raghav Gupta; Ryan Sullivan; Yunxuan Li; Samrat Phatale; Abhinav Rastogi (AAAI, 2025)

GPVK-VL: Geometry-Preserving Virtual Keyframes for Visual Localization under Large Viewpoint Changes. - Yunxuan Li; Lei Fan 005; Xiaoying Xing; Jianxiong Zhou; Ying Wu 001 (CVPR, 2025)

Beyond Markovian: Reflective Exploration via Bayes-Adaptive RL for LLM Reasoning. - Shenao Zhang; Yaqing Wang; Yinxiao Liu; Tianqi Liu; Peter Grabowski; Eugene Ie; Zhaoran Wang 001; Yunxuan Li (CoRR, 2025)

Human Mobility in Epidemic Modeling. - Xin Lu 002; Jiawei Feng; Shengjie Lai; Petter Holme; Shuo Liu; Zhanwei Du; Xiaoqian Yuan; Siqing Wang; Yunxuan Li; Xiaoyu Zhang; Yuan Bai; Xiaojun Duan; et al. (CoRR, 2025)