Xuying Ning

According to our database, Xuying Ning authored at least 23 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Heterogeneous Scientific Foundation Model Collaboration.

Zihao Li, Jiaru Zou, Feihao Fang, Xuying Ning, Mengting Ai, Tianxin Wei, Sirui Chen, Xiyuan Yang, Jingrui He

CoRR, April, 2026

PaperMind: Benchmarking Agentic Reasoning and Critique over Scientific Papers in Multimodal LLMs.

Yanjun Zhao, Tianxin Wei, Jiaru Zou, Xuying Ning, Yuanchen Bei, Lingjie Chen, Simmi Rana, Wendy H. Yang, Hanghang Tong, Jingrui He

CoRR, April, 2026

MC-Search: Evaluating and Enhancing Multimodal Agentic Search with Structured Long Reasoning Chains.

Xuying Ning, Dongqi Fu, Tianxin Wei, Mengting Ai, Jiaru Zou, Ting-Wei Li, Hanghang Tong, Yada Zhu, Hendrik F. Hamann, Jingrui He

CoRR, March, 2026

Agentic Reasoning for Large Language Models.

Tianxin Wei, Ting-Wei Li, Zhining Liu, Xuying Ning, Ze Yang, Jiaru Zou, Zhichen Zeng, Ruizhong Qiu, Xiao Lin, Dongqi Fu, Zihao Li, Mengting Ai, Duo Zhou, Wenxuan Bao, Yunzhe Li, Gaotang Li, Cheng Qian, Yu Wang, Xiangru Tang, Yin Xiao, Liri Fang, Hui Liu, Xianfeng Tang, Yuji Zhang, Chi Wang, Jiaxuan You, Heng Ji, Hanghang Tong, Jingrui He

CoRR, January, 2026

Subspace Alignment for Vision-Language Model Test-time Adaptation.

Zhichen Zeng, Wenxuan Bao, Xiao Lin, Ruizhong Qiu, Tianxin Wei, Xuying Ning, Yuchen Yan, Chen Luo, Monica Xiao Cheng, Jingrui He, Hanghang Tong

CoRR, January, 2026

AdaFuse: Adaptive Ensemble Decoding with Test-Time Scaling for LLMs.

Chengming Cui, Tianxin Wei, Ziyi Chen, Ruizhong Qiu, Zhichen Zeng, Zhining Liu, Xuying Ning, Duo Zhou, Jingrui He

CoRR, January, 2026

ALERT: Zero-shot LLM Jailbreak Detection via Internal Discrepancy Amplification.

Xiao Lin, Philip Li, Zhichen Zeng, Tingwei Li, Tianxin Wei, Xuying Ning, Gaotang Li, Yuzhong Chen, Hanghang Tong

CoRR, January, 2026

Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents.

Yuanchen Bei, Tianxin Wei, Xuying Ning, Yanjun Zhao, Zhining Liu, Xiao Lin, Yada Zhu, Hendrik F. Hamann, Jingrui He, Hanghang Tong

CoRR, January, 2026

Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation.

Xiao Lin, Zhicheng Tang, Weilin Cong, Mengyue Hang, Kai Wang, Yajuan Wang, Zhichen Zeng, Ting-Wei Li, Hyunsik Yoo, Zhining Liu, Xuying Ning, Ruizhong Qiu, Wen-Yen Chen, Shuo Chang, Rong Jin, Huayu Li, Hanghang Tong

Proceedings of the ACM Web Conference 2026, 2026

FeDecider: An LLM-Based Framework for Federated Cross-Domain Recommendation.

Xinrui He, Ting-Wei Li, Tianxin Wei, Xuying Ning, Xinyu He, Wenxuan Bao, Hanghang Tong, Jingrui He

Proceedings of the ACM Web Conference 2026, 2026

Harnessing Consistency for Robust Test-Time LLM Ensemble.

Zhichen Zeng, Qi Yu, Xiao Lin, Ruizhong Qiu, Xuying Ning, Tianxin Wei, Yuchen Yan, Jingrui He, Hanghang Tong

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

2025

CoFiRec: Coarse-to-Fine Tokenization for Generative Recommendation.

Tianxin Wei, Xuying Ning, Xuxing Chen, Ruizhong Qiu, Yupeng Hou, Yan Xie, Shuang Yang, Zhigang Hua, Jingrui He

CoRR, November, 2025

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory.

Tianxin Wei, Noveen Sachdeva, Benjamin Coleman, Zhankui He, Yuanchen Bei, Xuying Ning, Mengting Ai, Yunzhe Li, Jingrui He, Ed H. Chi, Chi Wang, Shuo Chen, Fernando Pereira, Wang-Cheng Kang, Derek Zhiyuan Cheng

CoRR, November, 2025

Flow Matching Meets Biology and Life Science: A Survey.

Zihao Li, Zhichen Zeng, Xiao Lin, Feihao Fang, Yanru Qu, Zhe Xu, Zhining Liu, Xuying Ning, Tianxin Wei, Ge Liu, Hanghang Tong, Jingrui He

CoRR, July, 2025

InstructAgent: Building User Controllable Recommender via LLM Agent.

Wujiang Xu, Yunxiao Shi, Zujie Liang, Xuying Ning, Kai Mei, Kun Wang, Xi Zhu, Min Xu, Yongfeng Zhang

CoRR, February, 2025

i²VAE: Interest Information Augmentation with Variational Regularizers for Cross-Domain Sequential Recommendation.

Xuying Ning, Wujiang Xu, Tianxin Wei, Xiaolei Liu

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

Graph4MM: Weaving Multimodal Learning with Structural Information.

Xuying Ning, Dongqi Fu, Tianxin Wei, Wujiang Xu, Jingrui He

Proceedings of the Forty-second International Conference on Machine Learning, 2025

SLMRec: Distilling Large Language Models into Small for Sequential Recommendation.

Wujiang Xu, Qitian Wu, Zujie Liang, Jiaojiao Han, Xuying Ning, Yunxiao Shi, Wenfang Lin, Yongfeng Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time.

Junyu Zhang, Runpei Dong, Han Wang, Xuying Ning, Haoran Geng, Peihao Li, Xialin He, Yutong Bai, Jitendra Malik, Saurabh Gupta, Huan Zhang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

iAgent: LLM Agent as a Shield between User and Recommender Systems.

Wujiang Xu, Yunxiao Shi, Zujie Liang, Xuying Ning, Kai Mei, Kun Wang, Xi Zhu, Min Xu, Yongfeng Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Information Maximization via Variational Autoencoders for Cross-Domain Recommendation.

Xuying Ning, Wujiang Xu, Xiaolei Liu, Mingming Ha, Qiongxu Ma, Youru Li, Linxun Chen, Yongfeng Zhang

CoRR, 2024

SLMRec: Empowering Small Language Models for Sequential Recommendation.

Wujiang Xu, Zujie Liang, Jiaojiao Han, Xuying Ning, Wenfang Lin, Linxun Chen, Feng Wei, Yongfeng Zhang

CoRR, 2024

Towards Open-World Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach.

Wujiang Xu, Xuying Ning, Wenfang Lin, Mingming Ha, Qiongxu Ma, Qianqiao Liang, Xuewen Tao, Linxun Chen, Bing Han, Minnan Luo

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024