Saizhuo Wang - RankMe

29 papers A* 2Journal 23Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Rethinking the Reranker: Boundary-Aware Evidence Selection for Robust Retrieval-Augmented Generation. CoRR 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
2026	J	`jnl`	Unleashing Expert Opinion From Social Media for Stock Prediction. IEEE Trans. Knowl. Data Eng. Wanyun Zhou, Saizhuo Wang, Xiang Li, Yiyan Qi, Jian Guo, Xiaowen Chu
2025	—	`conf`	Alpha-GPT: Human-AI Interactive Alpha Mining for Quantitative Investment. EMNLP (System Demonstrations) Saizhuo Wang, Hang Yuan, Leon Zhou, Lionel M. Ni, Heung-Yeung Shum, Jian Guo
2025	—	`conf`	DeltaLag: Learning Dynamic Lead-Lag Patterns in Financial Markets. ICAIF Wanyun Zhou, Saizhuo Wang, Mihai Cucuringu, Zihao Zhang, Xiang Li, Jian Guo, Chao Zhang, Xiaowen Chu
2025	J	`jnl`	DeltaLag: Learning Dynamic Lead-Lag Patterns in Financial Markets. CoRR Wanyun Zhou, Saizhuo Wang, Mihai Cucuringu, Zihao Zhang, Xiang Li, Jian Guo, Chao Zhang, Xiaowen Chu
2025	—	`conf`	Dual-Path Transformer: Aligning Text Embeddings with Market Movements for a New Paradigm of Cross-Modal Financial Time Series Prediction. DASFAA (6) Haohan Zhang, Hao Kong, Saizhuo Wang
2025	J	`jnl`	From Deep Learning to LLMs: A survey of AI in Quantitative Investment. CoRR Bokai Cao, Saizhuo Wang, Xinyi Lin, Xiaojun Wu, Haohan Zhang, Lionel M. Ni, Jian Guo
2025	—	`conf`	Golden Touchstone: A Comprehensive Bilingual Benchmark for Evaluating Financial Large Language Models. EMNLP (Findings) 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
2025	J	`jnl`	I2HGNN: Iterative Interpretable HyperGraph Neural Network for semi-supervised classification. Neural Networks Hongwei Zhang, Saizhuo Wang, Zixin Hu, Yuan Qi, Zengfeng Huang, Jian Guo
2025	J	`jnl`	QuantBench: Benchmarking AI Methods for Quantitative Investment. CoRR Saizhuo Wang, Hao Kong, Jiadong Guo, Fengrui Hua, Yiyan Qi, Wanyun Zhou, Jiahao Zheng, Xinyu Wang, Lionel M. Ni, Jian Guo
2025	J	`jnl`	QuantBench: benchmarking AI methods for quantitative investment from a full pipeline perspective. Frontiers Inf. Technol. Electron. Eng. Saizhuo Wang, Hao Kong, Jiadong Guo, Fengrui Hua, Yiyan Qi, Wanyun Zhou, Jiahao Zheng, Xinyu Wang, Lionel M. Ni, Jian Guo
2025	J	`jnl`	Unleashing Expert Opinion from Social Media for Stock Prediction. CoRR Wanyun Zhou, Saizhuo Wang, Xiang Li, Yiyan Qi, Jian Guo, Xiaowen Chu
2024	J	`jnl`	Alpha-GPT 2.0: Human-in-the-Loop AI for Quantitative Investment. CoRR Hang Yuan, Saizhuo Wang, Jian Guo
2024	J	`jnl`	Golden Touchstone: A Comprehensive Bilingual Benchmark for Evaluating Financial Large Language Models. CoRR 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
2024	J	`jnl`	Guided Learning: Lubricating End-to-End Modeling for Multi-stage Decision-making. CoRR Jian Guo, Saizhuo Wang, Yiyan Qi
2024	J	`jnl`	Quant 4.0: engineering quantitative investment with automated, explainable, and knowledge-driven artificial intelligence. Frontiers Inf. Technol. Electron. Eng. Jian Guo, Saizhuo Wang, Lionel M. Ni, Heung-Yeung Shum
2024	J	`jnl`	QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model. CoRR Saizhuo Wang, Hang Yuan, Lionel M. Ni, Jian Guo
2024	A*	`conf`	Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph. ICLR Jiashuo Sun, Chengjin Xu, Lumingyuan Tang, Saizhuo Wang, Chen Lin, Yeyun Gong, Lionel M. Ni, Heung-Yeung Shum, Jian Guo
2023	J	`jnl`	A Principled Framework for Knowledge-enhanced Large Language Model. CoRR Saizhuo Wang, Zhihan Liu, Zhaoran Wang, Jian Guo
2023	J	`jnl`	Alpha-GPT: Human-AI Interactive Alpha Mining for Quantitative Investment. CoRR Saizhuo Wang, Hang Yuan, Leon Zhou, Lionel M. Ni, Heung-Yeung Shum, Jian Guo
2023	J	`jnl`	Multilevel Graph Matching Networks for Deep Graph Similarity Learning. IEEE Trans. Neural Networks Learn. Syst. Xiang Ling, Lingfei Wu, Saizhuo Wang, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji
2023	J	`jnl`	On the Evolution of Knowledge Graphs: A Survey and Perspective. CoRR Xuhui Jiang, Chengjin Xu, Yinghan Shen, Xun Sun, Lumingyuan Tang, Saizhuo Wang, Zhongwu Chen, Yuanzhuo Wang, Jian Guo
2023	J	`jnl`	Quant 4.0: Engineering Quantitative Investment with Automated, Explainable and Knowledge-driven Artificial Intelligence. CoRR Jian Guo, Saizhuo Wang, Lionel M. Ni, Heung-Yeung Shum
2023	J	`jnl`	Think-on-Graph: Deep and Responsible Reasoning of Large Language Model with Knowledge Graph. CoRR Jiashuo Sun, Chengjin Xu, Lumingyuan Tang, Saizhuo Wang, Chen Lin, Yeyun Gong, Heung-Yeung Shum, Jian Guo
2022	A*	`conf`	Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings. SP Yuhao Mao, Chong Fu, Saizhuo Wang, Shouling Ji, Xuhong Zhang, Zhenguang Liu, Jun Zhou, Alex X. Liu, Raheem Beyah, Ting Wang
2022	J	`jnl`	Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings. CoRR Yuhao Mao, Chong Fu, Saizhuo Wang, Shouling Ji, Xuhong Zhang, Zhenguang Liu, Jun Zhou, Alex X. Liu, Raheem Beyah, Ting Wang
2021	J	`jnl`	Deep Graph Matching and Searching for Semantic Code Retrieval. ACM Trans. Knowl. Discov. Data Xiang Ling, Lingfei Wu, Saizhuo Wang, Gaoning Pan, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji
2020	J	`jnl`	Deep Graph Matching and Searching for Semantic Code Retrieval. CoRR Xiang Ling, Lingfei Wu, Saizhuo Wang, Gaoning Pan, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji
2020	J	`jnl`	Hierarchical Graph Matching Networks for Deep Graph Similarity Learning. CoRR Xiang Ling, Lingfei Wu, Saizhuo Wang, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji