Zihan Liao

According to our database, Zihan Liao authored at least 11 papers between 2021 and 2024.

Collaborative distances:

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

2024

Modeling Dynamic Item Tendency Bias in Sequential Recommendation With Causal Intervention.

Zihan Liao, Xiaodong Wu, Shuo Shang, Jun Wang, Wei Zhang

IEEE Trans. Knowl. Data Eng., December, 2024

Faster-Than-Nyquist Symbol-Level Precoding for Wideband Integrated Sensing and Communications.

Zihan Liao, Fan Liu, Ang Li, Christos Masouros

IEEE Trans. Wirel. Commun., August, 2024

Symbol-Level Precoding for MIMO ISAC Transmission Based on Interference Exploitation.

Yunwang Chen, Fan Liu, Zihan Liao, Fuwang Dong

IEEE Commun. Lett., February, 2024

E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning.

Zihan Liao, Jun Wang, Hang Yu, Lingxiao Wei, Jianguo Li, Jun Wang, Wei Zhang

CoRR, 2024

D2LLM: Decomposed and Distilled Large Language Models for Semantic Search.

Zihan Liao, Hang Yu, Jianguo Li, Jun Wang, Wei Zhang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Cross-Constrained Progressive Inference for 3D Hand Pose Estimation with Dynamic Observer-Decision-Adjuster Networks.

Zhehan Kan, Xueting Hu, Zihan Liao, Ke Yu, Zhihai He

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Symbol-Level Precoding for Integrated Sensing and Communications: A Faster-Than-Nyquist Approach.

Zihan Liao, Fan Liu

IEEE Commun. Lett., December, 2023

Wideband ISAC Optimization with Faster-Than-Nyquist Symbol-Level Precoding.

Zihan Liao, Fan Liu, Ang Li, Christos Masouros

Proceedings of the IEEE Globecom Workshops 2023, 2023

BDC-Adapter: Brownian Distance Covariance for Better Vision-Language Reasoning.

Yi Zhang, Ce Zhang, Zihan Liao, Yushun Tang, Zhihai He

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2021

Structure-guided attributed network embedding with "centroid" enhancement.

Zihan Liao, Wenxin Liang, Beilei Cui, Xin Liu

Computing, 2021

Self-supervised Graph Representation Learning with Variational Inference.

Zihan Liao, Wenxin Liang, Han Liu, Jie Mu, Xianchao Zhang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021