Yunxuan Li

38 papers A* 6B 4Journal 15Unranked 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
An Algorithm for Spatio-Temporal Trajectory Conflict Risk Identification in Intersections Considering Lateral Vehicle Movement.
IEEE Trans. Intell. Transp. Syst.
Zhonghua Wei, Shihao Wang, Jingxuan Peng, Yixin Li, Lishengsa Yue, Yunxuan Li
2025 J jnl
Beyond Markovian: Reflective Exploration via Bayes-Adaptive RL for LLM Reasoning.
CoRR
Shenao Zhang, Yaqing Wang, Yinxiao Liu, Tianqi Liu, Peter Grabowski, Eugene Ie, Zhaoran Wang, Yunxuan Li
2025 A* conf
GPVK-VL: Geometry-Preserving Virtual Keyframes for Visual Localization under Large Viewpoint Changes.
CVPR
Yunxuan Li, Lei Fan, Xiaoying Xing, Jianxiong Zhou, Ying Wu
2025 J jnl
Human Mobility in Epidemic Modeling.
CoRR
Xin Lu, Jiawei Feng, Shengjie Lai, Petter Holme, Shuo Liu, Zhanwei Du, Xiaoqian Yuan, Siqing Wang, Yunxuan Li, Xiaoyu Zhang, Yuan Bai, Xiaojun Duan, Wenjun Mei, Hongjie Yu, Suoyi Tan, Fredrik Liljeros
2025 J jnl
LIFT: Interpretable truck driving risk prediction with literature-informed fine-tuned LLMs.
CoRR
Xiao Hu, Yuansheng Lian, Ke Zhang, Yunxuan Li, Yuelong Su, Meng Li
2025 J jnl
Mitigating Visual Hallucinations via Semantic Curriculum Preference Optimization in MLLMs.
CoRR
Yuanshuai Li, Yuping Yan, Junfeng Tang, Yunxuan Li, Zeqi Zheng, Yaochu Jin
2025 B conf
On The Impact of Different Batch Sizes on Byzantine Robustness in Federated Learning.
IJCNN
Xinjian Huang, Yuxin Wei, Yunxuan Li, Yishuo Zhao, Bo Du
2025 B conf
ReFly: A New Reconfigurable Architecture for LLM Training Based on Optical Circuit Switching.
GLOBECOM
Xinyue Li, Rentao Gu, Yunxuan Li, Shiwei Wang, Mo Guang, Kaiwen Long, Yuefeng Ji
2025 A* conf
Robust Multi-Objective Preference Alignment with Online DPO.
AAAI
Raghav Gupta, Ryan Sullivan, Yunxuan Li, Samrat Phatale, Abhinav Rastogi
2025 J jnl
Robust Multi-Objective Preference Alignment with Online DPO.
CoRR
Raghav Gupta, Ryan Sullivan, Yunxuan Li, Samrat Phatale, Abhinav Rastogi
2025 — conf
Unveiling Byzantine-robust with Varied Batch Sizes across Different Clients in Federated Learning.
MMAsia
Yunxuan Li, Yuxin Wei, Xinjian Huang, Bo Du
2024 — conf
Conditional Language Policy: A General Framework For Steerable Multi-Objective Finetuning.
EMNLP (Findings)
Kaiwen Wang, Rahul Kidambi, Ryan Sullivan, Alekh Agarwal, Christoph Dann, Andrea Michi, Marco Gelmi, Yunxuan Li, Raghav Gupta, Avinava Dubey, Alexandre Ramé, Johan Ferret, Geoffrey Cideron, Le Hou, Hongkun Yu, Amr Ahmed, Aranyak Mehta, Léonard Hussenot, Olivier Bachem, Edouard Leurent
2024 J jnl
Conditioned Language Policy: A General Framework for Steerable Multi-Objective Finetuning.
CoRR
Kaiwen Wang, Rahul Kidambi, Ryan Sullivan, Alekh Agarwal, Christoph Dann, Andrea Michi, Marco Gelmi, Yunxuan Li, Raghav Gupta, Avinava Dubey, Alexandre Ramé, Johan Ferret, Geoffrey Cideron, Le Hou, Hongkun Yu, Amr Ahmed, Aranyak Mehta, Léonard Hussenot, Olivier Bachem, Edouard Leurent
2024 A* conf
Enabling Lanuguage Models to Implicitly Learn Self-Improvement.
ICLR
Ziqi Wang, Le Hou, Tianjian Lu, Yuexin Wu, Yunxuan Li, Hongkun Yu, Heng Ji
2024 A* conf
Evidential Active Recognition: Intelligent and Prudent Open-World Embodied Perception.
CVPR
Lei Fan, Mingfu Liang, Yunxuan Li, Gang Hua, Ying Wu
2024 J jnl
Improve Mathematical Reasoning in Language Models by Automated Process Supervision.
CoRR
Liangchen Luo, Yinxiao Liu, Rosanne Liu, Samrat Phatale, Harsh Lara, Yunxuan Li, Lei Shu, Yun Zhu, Lei Meng, Jiao Sun, Abhinav Rastogi
2024 — conf
Improving Multi-Agent Debate with Sparse Communication Topology.
EMNLP (Findings)
Yunxuan Li, Yibing Du, Jiageng Zhang, Le Hou, Peter Grabowski, Yeqing Li, Eugene Ie
2024 J jnl
Improving Multi-Agent Debate with Sparse Communication Topology.
CoRR
Yunxuan Li, Yibing Du, Jiageng Zhang, Le Hou, Peter Grabowski, Yeqing Li, Eugene Ie
2024 — conf
LALO - A Virtual Data Lake Zone for Composing Tailor-Made Data Products on Demand.
DEXA (2)
Christoph Stach, Yunxuan Li, Laura Schuiki, Bernhard Mitschang
2024 — conf
Learning to Ask Denotative and Connotative Questions for Knowledge-based VQA.
EMNLP (Findings)
Xiaoying Xing, Peixi Xiong, Lei Fan, Yunxuan Li, Ying Wu
2024 A* conf
Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models.
ICLR
Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Y. Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou
2024 — conf
Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision.
EMNLP (Findings)
Zihan Wang, Yunxuan Li, Yuexin Wu, Liangchen Luo, Le Hou, Hongkun Yu, Jingbo Shang
2024 J jnl
Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision.
CoRR
Zihan Wang, Yunxuan Li, Yuexin Wu, Liangchen Luo, Le Hou, Hongkun Yu, Jingbo Shang
2024 — conf
Opti-DeepRoute: A Topology-Adaptive Deep Reinforcement Learning Based Service Provisioning Framework for Elastic Optical Network.
INFOCOM (Workshops)
Zexi Zhou, Rentao Gu, Xiaoya Zhang, Yunxuan Li, Lin Bai, Yuefeng Ji
2024 B conf
PaDS: An adaptive and privacy-enabling Data Pipeline for Smart Cars.
MDM
Yunxuan Li, Christoph Stach, Bernhard Mitschang
2024 J jnl
Scaling Instruction-Finetuned Language Models.
J. Mach. Learn. Res.
Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Yunxuan Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Alex Castro-Ros, Marie Pellat, Kevin Robinson, Dasha Valter, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Y. Zhao, Yanping Huang, Andrew M. Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, Jason Wei
2023 J jnl
A Superposition Assessment Framework of Multi-Source Traffic Risks for Mega-Events Using Risk Field Model and Time-Series Generative Adversarial Networks.
IEEE Trans. Intell. Transp. Syst.
Zeyang Cheng, Jian Lu, Heng Ding, Yunxuan Li, Haijian Bai, Weihua Zhang
2023 — conf
CV-Priv: Towards a Context Model for Privacy Policy Creation for Connected Vehicles.
PerCom Workshops
Yunxuan Li, Pascal Hirmer, Christoph Stach
2023 J jnl
Enable Language Models to Implicitly Learn Self-Improvement From Data.
CoRR
Ziqi Wang, Le Hou, Tianjian Lu, Yuexin Wu, Yunxuan Li, Hongkun Yu, Heng Ji
2023 J jnl
Evidential Active Recognition: Intelligent and Prudent Open-World Embodied Perception.
CoRR
Lei Fan, Mingfu Liang, Yunxuan Li, Gang Hua, Ying Wu
2023 J jnl
Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts.
CoRR
Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Y. Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou
2023 — conf
Multi-node Cooperative Recovery against IP node failure Enabled by Flexible Optical Network.
OFC
Yunxuan Li, Rentao Gu, Yuefeng Ji
2023 — conf
Privacy in Connected Vehicles: Perspectives of Drivers and Car Manufacturers.
SummerSOC
Andrea Fieschi, Yunxuan Li, Pascal Hirmer, Christoph Stach, Bernhard Mitschang
2022 — conf
Ensuring Situation-Aware Privacy for Connected Vehicles.
IOT
Yunxuan Li, Pascal Hirmer, Christoph Stach, Bernhard Mitschang
2022 — conf
In-depth Analysis of Traffic Conflicts at Interchange Merging Areas Based on Bayesian Network and Conflict chain.
ITSC
Xin Gu, Yinjia Guo, Yuntong Zhou, Yunxuan Li, Yanyan Chen
2022 A* conf
Unsupervised Depth Completion and Denoising for RGB-D Sensors.
ICRA
Lei Fan, Yunxuan Li, Chen Jiang, Ying Wu
2021 — conf
Exploratory Methods for Imbalanced Data Classification in Online Recruitment Fraud Detection: A Comparative Analysis.
ICCBD
Jiaxu Li, Yunxuan Li, Hongjian Han, Xin Lu
2017 B conf
Quantitative style analysis of Mo Yan and Zhang Wei's novels.
WI
Yunxuan Li, Weiyun Ji, Dekuan Xu