Liangwei Nathan Zheng

According to our database, Liangwei Nathan Zheng authored at least 11 papers between 2023 and 2026.

Collaborative distances:

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

2026

Tackling Multimodal Learning Challenges with Mixture-of-Expert: A Survey.

Liangwei Nathan Zheng, Wei Emma Zhang, Olaf Maennel, Lin Yue, Weitong Chen

CoRR, May, 2026

Lifting Manifolds to Mitigate Pseudo-Alignment in LLM4TS.

Liangwei Nathan Zheng, Wenhao Liang, Wei Emma Zhang, Miao Xu, Olaf Maennel, Weitong Chen

Proceedings of the ACM Web Conference 2026, 2026

2025

Rethinking Gating Mechanism in Sparse MoE: Handling Arbitrary Modality Inputs with Confidence-Guided Gate.

Liangwei Nathan Zheng, Wei Emma Zhang, Mingyu Guo, Miao Xu, Olaf Maennel, Weitong Chen

CoRR, May, 2025

Understanding Why Large Language Models Can Be Ineffective in Time Series Analysis: The Impact of Modality Alignment.

Liangwei Nathan Zheng, Chang George Dong, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen

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

Adaptive Spline Networks in the Kolmogorov-Arnold Framework: Knot Analysis and Stability Enhancement.

Liangwei Nathan Zheng, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Price Equilibrium Routing: A Lightweight Framework for Expert Selection in Mixture-of-Experts.

Yiyang Zhao, Liangwei Nathan Zheng, Wei Emma Zhang, Weitong Chen

Proceedings of the AI 2025: Advances in Artificial Intelligence, 2025

2024

Revisited Large Language Model for Time Series Analysis through Modality Alignment.

Liangwei Nathan Zheng, Chang George Dong, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen

CoRR, 2024

Irregularity-Informed Time Series Analysis: Adaptive Modelling of Spatial and Temporal Dynamics.

Liangwei Nathan Zheng, Zhengyang Li, Chang George Dong, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Devil in the Tail: A Multi-Modal Framework for Drug-Drug Interaction Prediction in Long Tail Distinction.

Liangwei Nathan Zheng, Chang George Dong, Wei Emma Zhang, Xin Chen, Lin Yue, Weitong Chen

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Boosting Certificate Robustness for Time Series Classification with Efficient Self-Ensemble.

Chang George Dong, Zhengyang David Li, Liangwei Nathan Zheng, Weitong Chen, Wei Emma Zhang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

SWAP: Exploiting Second-Ranked Logits for Adversarial Attacks on Time Series.

Chang George Dong, Liangwei Nathan Zheng, Weitong Chen, Wei Emma Zhang, Lin Yue

Proceedings of the IEEE International Conference on Knowledge Graph, 2023