Zixuan Weng

According to our database, Zixuan Weng authored at least 10 papers between 2023 and 2026.

Collaborative distances:

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

2026

FineSteer: A Unified Framework for Fine-Grained Inference-Time Steering in Large Language Models.

Zixuan Weng, Jinghuai Zhang, Kunlin Cai, Ying Li, Peiran Wang, Yuan Tian

CoRR, April, 2026

2025

DAMBench: A Multi-Modal Benchmark for Deep Learning-based Atmospheric Data Assimilation.

Hao Wang, Zixuan Weng, Jindong Han, Wei Fan, Hao Liu

CoRR, November, 2025

SDE: A Simplified and Disentangled Dependency Encoding Framework for State Space Models in Time Series Forecasting.

Zixuan Weng, Jindong Han, Wenzhao Jiang, Hao Liu

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

JailbreakDiffBench: A Comprehensive Benchmark for Jailbreaking Diffusion Models.

Xiaolong Jin, Zixuan Weng, Hanxi Guo, Chenlong Yin, Siyuan Cheng, Guangyu Shen, Xiangyu Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Foot-In-The-Door: A Multi-turn Jailbreak for LLMs.

Zixuan Weng, Xiaolong Jin, Jinyuan Jia, Xiangyu Zhang

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

2024

Simplified Mamba with Disentangled Dependency Encoding for Long-Term Time Series Forecasting.

Zixuan Weng, Jindong Han, Wenzhao Jiang, Hao Liu

CoRR, 2024

Make Your Home Safe: Time-aware Unsupervised User Behavior Anomaly Detection in Smart Homes via Loss-guided Mask.

Jingyu Xiao, Zhiyao Xu, Qingsong Zou, Qing Li, Dan Zhao, Dong Fang, Ruoyu Li, Wenxin Tang, Kang Li, Xudong Zuo, Penghui Hu, Yong Jiang, Zixuan Weng, Michael R. Lyv

CoRR, 2024

Towards Deeper Understanding of PPR-based Embedding Approaches: A Topological Perspective.

Xingyi Zhang, Zixuan Weng, Sibo Wang

Proceedings of the ACM on Web Conference 2024, 2024

Make Your Home Safe: Time-aware Unsupervised User Behavior Anomaly Detection in Smart Homes via Loss-guided Mask.

Jingyu Xiao, Zhiyao Xu, Qingsong Zou, Qing Li, Dan Zhao, Dong Fang, Ruoyu Li, Wenxin Tang, Kang Li, Xudong Zuo, Penghui Hu, Yong Jiang, Zixuan Weng, Michael R. Lyu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

I Know Your Intent: Graph-enhanced Intent-aware User Device Interaction Prediction via Contrastive Learning.

Jingyu Xiao, Qingsong Zou, Qing Li, Dan Zhao, Kang Li, Zixuan Weng, Ruoyu Li, Yong Jiang

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., September, 2023