Siyue Wu

According to our database, Siyue Wu authored at least 8 papers between 2021 and 2025.

Collaborative distances:

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

2025

LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs.

Yunhui Xia, Wei Shen, Yan Wang, Jason Klein Liu, Huifeng Sun, Siyue Wu, Jian Hu, Xiaolong Xu

CoRR, April, 2025

GREAT: Generalized Reservoir Sampling based Triangle Counting Estimation over Streaming Graphs.

Siyue Wu, Dingming Wu, Sinhong Cheuk, Tsz Nam Chan, Kezhong Lu

Proc. VLDB Endow., March, 2025

2024

Efficient and Accurate PageRank Approximation on Large Graphs.

Siyue Wu, Dingming Wu, Junyi Quan, Tsz Nam Chan, Kezhong Lu

Proc. ACM Manag. Data, September, 2024

Multi-Party Conversation Modeling for Emotion Recognition.

Xiaojun Quan, Siyue Wu, Junqing Chen, Weizhou Shen, Jianxing Yu

IEEE Trans. Affect. Comput., 2024

CDFRS: A scalable sampling approach for efficient big data analysis.

Yongda Cai, Dingming Wu, Xudong Sun, Siyue Wu, Jingsheng Xu, Joshua Zhexue Huang

Inf. Process. Manag., 2024

2023

MCC-KD: Multi-CoT Consistent Knowledge Distillation.

Hongzhan Chen, Siyue Wu, Xiaojun Quan, Rui Wang, Ming Yan, Ji Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

AD-KD: Attribution-Driven Knowledge Distillation for Language Model Compression.

Siyue Wu, Hongzhan Chen, Xiaojun Quan, Qifan Wang, Rui Wang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2021

Directed Acyclic Graph Network for Conversational Emotion Recognition.

Weizhou Shen, Siyue Wu, Yunyi Yang, Xiaojun Quan

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021