Saizhuo Wang

According to our database, Saizhuo Wang authored at least 23 papers between 2020 and 2026.

Collaborative distances:

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

2026

Unleashing Expert Opinion From Social Media for Stock Prediction.

Wanyun Zhou, Saizhuo Wang, Xiang Li, Yiyan Qi, Jian Guo, Xiaowen Chu

IEEE Trans. Knowl. Data Eng., February, 2026

Rethinking the Reranker: Boundary-Aware Evidence Selection for Robust Retrieval-Augmented Generation.

Jiashuo Sun, Pengcheng Jiang, Saizhuo Wang, Jiajun Fan, Heng Wang, Siru Ouyang, Ming Zhong, Yizhu Jiao, Chengsong Huang, Xueqiang Xu, Pengrui Han, Peiran Li, Jiaxin Huang, Ge Liu, Heng Ji, Jiawei Han

CoRR, February, 2026

2025

QuantBench: benchmarking AI methods for quantitative investment from a full pipeline perspective.

Saizhuo Wang, Hao Kong, Jiadong Guo, Fengrui Hua, Yiyan Qi, Wanyun Zhou, Jiahao Zheng, Xinyu Wang, Lionel M. Ni, Jian Guo

Frontiers Inf. Technol. Electron. Eng., November, 2025

QuantBench: Benchmarking AI Methods for Quantitative Investment.

Saizhuo Wang, Hao Kong, Jiadong Guo, Fengrui Hua, Yiyan Qi, Wanyun Zhou, Jiahao Zheng, Xinyu Wang, Lionel M. Ni, Jian Guo

CoRR, April, 2025

From Deep Learning to LLMs: A survey of AI in Quantitative Investment.

Bokai Cao, Saizhuo Wang, Xinyi Lin, Xiaojun Wu, Haohan Zhang, Lionel M. Ni, Jian Guo

CoRR, March, 2025

I2HGNN: Iterative Interpretable HyperGraph Neural Network for semi-supervised classification.

Hongwei Zhang, Saizhuo Wang, Zixin Hu, Yuan Qi, Zengfeng Huang, Jian Guo

Neural Networks, 2025

DeltaLag: Learning Dynamic Lead-Lag Patterns in Financial Markets.

Wanyun Zhou, Saizhuo Wang, Mihai Cucuringu, Zihao Zhang, Xiang Li, Jian Guo, Chao Zhang, Xiaowen Chu

Proceedings of the 6th ACM International Conference on AI in Finance, 2025

Golden Touchstone: A Comprehensive Bilingual Benchmark for Evaluating Financial Large Language Models.

Xiaojun Wu, Junxi Liu, Huan-Yi Su, Zhouchi Lin, Yiyan Qi, Chengjin Xu, Jiajun Su, Jiajie Zhong, Fuwei Wang, Saizhuo Wang, Fengrui Hua, Jia Li, Jian Guo

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

Alpha-GPT: Human-AI Interactive Alpha Mining for Quantitative Investment.

Saizhuo Wang, Hang Yuan, Leon Zhou, Lionel M. Ni, Heung-Yeung Shum, Jian Guo

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

Dual-Path Transformer: Aligning Text Embeddings with Market Movements for a New Paradigm of Cross-Modal Financial Time Series Prediction.

Haohan Zhang, Hao Kong, Saizhuo Wang

Proceedings of the Database Systems for Advanced Applications, 2025

2024

Quant 4.0: engineering quantitative investment with automated, explainable, and knowledge-driven artificial intelligence.

Jian Guo, Saizhuo Wang, Lionel M. Ni, Heung-Yeung Shum

Frontiers Inf. Technol. Electron. Eng., November, 2024

Guided Learning: Lubricating End-to-End Modeling for Multi-stage Decision-making.

Jian Guo, Saizhuo Wang, Yiyan Qi

CoRR, 2024

Golden Touchstone: A Comprehensive Bilingual Benchmark for Evaluating Financial Large Language Models.

Xiaojun Wu, Junxi Liu, Huanyi Su, Zhouchi Lin, Yiyan Qi, Chengjin Xu, Jiajun Su, Jiajie Zhong, Fuwei Wang, Saizhuo Wang, Fengrui Hua, Jia Li, Jian Guo

CoRR, 2024

Alpha-GPT 2.0: Human-in-the-Loop AI for Quantitative Investment.

Hang Yuan, Saizhuo Wang, Jian Guo

CoRR, 2024

QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model.

Saizhuo Wang, Hang Yuan, Lionel M. Ni, Jian Guo

CoRR, 2024

Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph.

Jiashuo Sun, Chengjin Xu, Lumingyuan Tang, Saizhuo Wang, Chen Lin, Yeyun Gong, Lionel M. Ni, Heung-Yeung Shum, Jian Guo

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Multilevel Graph Matching Networks for Deep Graph Similarity Learning.

Xiang Ling, Lingfei Wu, Saizhuo Wang, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji

IEEE Trans. Neural Networks Learn. Syst., February, 2023

A Principled Framework for Knowledge-enhanced Large Language Model.

Saizhuo Wang, Zhihan Liu, Zhaoran Wang, Jian Guo

CoRR, 2023

On the Evolution of Knowledge Graphs: A Survey and Perspective.

Xuhui Jiang, Chengjin Xu, Yinghan Shen, Xun Sun, Lumingyuan Tang, Saizhuo Wang, Zhongwu Chen, Yuanzhuo Wang, Jian Guo

CoRR, 2023

Think-on-Graph: Deep and Responsible Reasoning of Large Language Model with Knowledge Graph.

Jiashuo Sun, Chengjin Xu, Lumingyuan Tang, Saizhuo Wang, Chen Lin, Yeyun Gong, Heung-Yeung Shum, Jian Guo

CoRR, 2023

2022

Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings.

Yuhao Mao, Chong Fu, Saizhuo Wang, Shouling Ji, Xuhong Zhang, Zhenguang Liu, Jun Zhou, Alex X. Liu, Raheem Beyah, Ting Wang

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

2021

Deep Graph Matching and Searching for Semantic Code Retrieval.

Xiang Ling, Lingfei Wu, Saizhuo Wang, Gaoning Pan, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji

ACM Trans. Knowl. Discov. Data, 2021

2020

Hierarchical Graph Matching Networks for Deep Graph Similarity Learning.

Xiang Ling, Lingfei Wu, Saizhuo Wang, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji

CoRR, 2020