Saizhuo Wang

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 14

Top Topics

Artificially Intelligent

Replicator Dynamics

Top Venues

IEEE Symposium on Security and Privacy

IEEE Trans. Neural Networks Learn. Syst.

ACM Trans. Knowl. Discov. Data

Publications

Hang Yuan, Saizhuo Wang, Jian Guo
Alpha-GPT 2.0: Human-in-the-Loop AI for Quantitative Investment. CoRR (2024)
Saizhuo Wang, Hang Yuan, Lionel M. Ni, Jian Guo
QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model. CoRR (2024)
Jiashuo Sun, Chengjin Xu, Lumingyuan Tang, Saizhuo Wang, Chen Lin, Yeyun Gong, Lionel M. Ni, Heung-Yeung Shum, Jian Guo
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph. ICLR (2024)
Xuhui Jiang, Chengjin Xu, Yinghan Shen, Xun Sun, Lumingyuan Tang, Saizhuo Wang, Zhongwu Chen, Yuanzhuo Wang, Jian Guo
On the Evolution of Knowledge Graphs: A Survey and Perspective. CoRR (2023)
Xiang Ling, Lingfei Wu, Saizhuo Wang, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji
Multilevel Graph Matching Networks for Deep Graph Similarity Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (2) (2023)
Jiashuo Sun, Chengjin Xu, Lumingyuan Tang, Saizhuo Wang, Chen Lin, Yeyun Gong, Heung-Yeung Shum, Jian Guo
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model with Knowledge Graph. CoRR (2023)
Saizhuo Wang, Zhihan Liu, Zhaoran Wang, Jian Guo
A Principled Framework for Knowledge-enhanced Large Language Model. CoRR (2023)
Jian Guo, Saizhuo Wang, Lionel M. Ni, Heung-Yeung Shum
Quant 4.0: Engineering Quantitative Investment with Automated, Explainable and Knowledge-driven Artificial Intelligence. CoRR (2023)
Saizhuo Wang, Hang Yuan, Leon Zhou, Lionel M. Ni, Heung-Yeung Shum, Jian Guo
Alpha-GPT: Human-AI Interactive Alpha Mining for Quantitative Investment. CoRR (2023)
Yuhao Mao, Chong Fu, Saizhuo Wang, Shouling Ji, Xuhong Zhang, Zhenguang Liu, Jun Zhou, Alex X. Liu, Raheem Beyah, Ting Wang
Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings. IEEE Symposium on Security and Privacy (2022)
Yuhao Mao, Chong Fu, Saizhuo Wang, Shouling Ji, Xuhong Zhang, Zhenguang Liu, Jun Zhou, Alex X. Liu, Raheem Beyah, Ting Wang
Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings. CoRR (2022)
Xiang Ling, Lingfei Wu, Saizhuo Wang, Gaoning Pan, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji
Deep Graph Matching and Searching for Semantic Code Retrieval. ACM Trans. Knowl. Discov. Data 15 (5) (2021)
Xiang Ling, Lingfei Wu, Saizhuo Wang, Gaoning Pan, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji
Deep Graph Matching and Searching for Semantic Code Retrieval. CoRR (2020)
Xiang Ling, Lingfei Wu, Saizhuo Wang, Tengfei Ma, Fangli Xu, Alex X. Liu, Chunming Wu, Shouling Ji
Hierarchical Graph Matching Networks for Deep Graph Similarity Learning. CoRR (2020)