Jian Guo

According to our database, Jian Guo authored at least 43 papers between 2022 and 2026.

Collaborative distances:

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

2026

DataArc-SynData-Toolkit: A Unified Closed-Loop Framework for Multi-Path, Multimodal, and Multilingual Data Synthesis.

Zhichao Shi, Cehao Yang, Hao Zhou, Xiaojun Wu, Huajie Li, Xuhui Jiang, Chengjin Xu, Yuanzhuo Wang, Jian Guo

CoRR, May, 2026

Conflicts Make Large Reasoning Models Vulnerable to Attacks.

Honghao Liu, Chengjin Xu, Xuhui Jiang, Cehao Yang, Shengming Yin, Zhengwu Ma, Lionel Ni, Jian Guo

CoRR, April, 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

Janus-Q: End-to-End Event-Driven Trading via Hierarchical-Gated Reward Modeling.

Xiang Li, Zikai Wei, Yiyan Qi, Wanyun Zhou, Xiang Liu, Penglei Sun, Jian Guo, Yongqi Zhang, Xiaowen Chu

CoRR, February, 2026

Financial Wind Tunnel: A Retrieval-Augmented Market Simulator.

Bokai Cao, Xueyuan Lin, Yiyan Qi, Chengjin Xu, Cehao Yang, Jian Guo

Proceedings of the ACM Web Conference 2026, 2026

Continual Pretraining on Encrypted Synthetic Data for Privacy-Preserving LLMs.

Honghao Liu, Xuhui Jiang, Chengjin Xu, Cehao Yang, Yiran Cheng, Lionel Ni, Jian Guo

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

BAG: Benchmarking Anomaly Detection on Dynamic Graphs.

Fengrui Hua, Yiyan Qi, Zikai Wei, Yuxing Tian, Chengjin Xu, Xiaojun Wu, Jia Li, Jian Guo

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 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

Large investment model.

Jian Guo, Heung-Yeung Shum

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

RETuning: Upgrading Inference-Time Scaling for Stock Movement Prediction with Large Language Models.

Xueyuan Lin, Cehao Yang, Ye Ma, Ming Li, Rongjunchen Zhang, Yang Ni, Xiaojun Wu, Chengjin Xu, Jian Guo, Hui Xiong

CoRR, October, 2025

GraphSearch: An Agentic Deep Searching Workflow for Graph Retrieval-Augmented Generation.

Cehao Yang, Xiaojun Wu, Xueyuan Lin, Chengjin Xu, Xuhui Jiang, Yuanliang Sun, Jia Li, Hui Xiong, Jian Guo

CoRR, September, 2025

Think-on-Graph 3.0: Efficient and Adaptive LLM Reasoning on Heterogeneous Graphs via Multi-Agent Dual-Evolving Context Retrieval.

Xiaojun Wu, Cehao Yang, Xueyuan Lin, Chengjin Xu, Xuhui Jiang, Yuanliang Sun, Hui Xiong, Jia Li, Jian Guo

CoRR, September, 2025

JudgeAgent: Knowledge-wise and Dynamic LLM Evaluation with Agent-as-Interviewer.

Zhichao Shi, Xuhui Jiang, Chengjin Xu, Cangli Yao, Zhenxin Huang, Shengjie Ma, Yinghan Shen, Jian Guo, Yuanzhuo Wang

CoRR, September, 2025

Select2Reason: Efficient Instruction-Tuning Data Selection for Long-CoT Reasoning.

Cehao Yang, Xueyuan Lin, Chengjin Xu, Xuhui Jiang, Xiaojun Wu, Honghao Liu, Hui Xiong, Jian Guo

CoRR, May, 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

CSPO: Cross-Market Synergistic Stock Price Movement Forecasting with Pseudo-volatility Optimization.

Sida Lin, Yankai Chen, Yiyan Qi, Chenhao Ma, Bokai Cao, Yifei Zhang, Xue Liu, Jian Guo

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 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

LongFaith: Enhancing Long-Context Reasoning in LLMs with Faithful Synthetic Data.

Cehao Yang, Xueyuan Lin, Chengjin Xu, Xuhui Jiang, Shengjie Ma, Aofan Liu, Hui Xiong, Jian Guo

Proceedings of the Findings of the Association for Computational Linguistics, 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

A Survey on LLM-as-a-Judge.

Jiawei Gu, Xuhui Jiang, Zhichao Shi, Hexiang Tan, Xuehao Zhai, Chengjin Xu, Wei Li, Yinghan Shen, Shengjie Ma, Honghao Liu, Yuanzhuo Wang, Jian Guo

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

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

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

CoRR, 2024

Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets.

Xuhui Jiang, Chengjin Xu, Yinghan Shen, Yuanzhuo Wang, Fenglong Su, Zhichao Shi, Fei Sun, Zixuan Li, Jian Guo, Huawei Shen

Proceedings of the ACM on Web Conference 2024, 2024

Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models.

Jiashuo Sun, Yi Luo, Yeyun Gong, Chen Lin, Yelong Shen, Jian Guo, Nan Duan

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models.

Yi Luo, Zhenghao Lin, Yuhao Zhang, Jiashuo Sun, Chen Lin, Chengjin Xu, Xiangdong Su, Yelong Shen, Jian Guo, Yeyun Gong

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Latent Diffusion-based Data Augmentation for Continuous-Time Dynamic Graph Model.

Yuxing Tian, Aiwen Jiang, Qi Huang, Jian Guo, Yiyan Qi

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

MM-ChatAlign: A Novel Multimodal Reasoning Framework based on Large Language Models for Entity Alignment.

Xuhui Jiang, Yinghan Shen, Zhichao Shi, Chengjin Xu, Wei Li, Huang Zihe, Jian Guo, Yuanzhuo Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Knowledge Enhanced Pre-training for Cross-lingual Dense Retrieval.

Hang Zhang, Yeyun Gong, Dayiheng Liu, Shunyu Zhang, Xingwei He, Jiancheng Lv, Jian Guo

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning.

Jiashuo Sun, Hang Zhang, Chen Lin, Xiangdong Su, Yeyun Gong, Jian Guo

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Unlocking the Power of Large Language Models for Entity Alignment.

Xuhui Jiang, Yinghan Shen, Zhichao Shi, Chengjin Xu, Wei Li, Zixuan Li, Jian Guo, Huawei Shen, Yuanzhuo Wang

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

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

Unveiling the Potential of Sentiment: Can Large Language Models Predict Chinese Stock Price Movements?

Haohan Zhang, Fengrui Hua, Chengjin Xu, Jian Guo, Hao Kong, Ruiting Zuo

CoRR, 2023

AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation.

Tong Wu, Zhihao Fan, Xiao Liu, Hai-Tao Zheng, Yeyun Gong, Yelong Shen, Jian Jiao, Juntao Li, Zhongyu Wei, Jian Guo, Nan Duan, Weizhu Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Noisy Pair Corrector for Dense Retrieval.

Hang Zhang, Yeyun Gong, Xingwei He, Dayiheng Liu, Daya Guo, Jiancheng Lv, Jian Guo

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

2022

APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning.

Jiashuo Sun, Hang Zhang, Chen Lin, Yeyun Gong, Jian Guo, Nan Duan

CoRR, 2022

Vision-Language Intelligence: Tasks, Representation Learning, and Large Models.

Feng Li, Hao Zhang, Yifan Zhang, Shilong Liu, Jian Guo, Lionel M. Ni, Pengchuan Zhang, Lei Zhang

CoRR, 2022

Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis.

Shuai Fan, Chen Lin, Haonan Li, Zhenghao Lin, Jinsong Su, Hang Zhang, Yeyun Gong, Jian Guo, Nan Duan

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

DN-DETR: Accelerate DETR Training by Introducing Query DeNoising.

Feng Li, Hao Zhang, Shilong Liu, Jian Guo, Lionel M. Ni, Lei Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022