DN-DETR: Accelerate DETR Training by Introducing Query DeNoising. - Feng Li 040; Hao Zhang 097; Shilong Liu 004; Jian Guo 016; Lionel M. Ni; Lei Zhang 001 (CVPR, 2022)

Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis. - Shuai Fan 007; Chen Lin 001; Haonan Li 002; Zhenghao Lin; Jinsong Su; Hang Zhang 029; Yeyun Gong; Jian Guo 016; Nan Duan 001 (EMNLP, 2022)

Vision-Language Intelligence: Tasks, Representation Learning, and Large Models. - Feng Li 040; Hao Zhang 097; Yifan Zhang; Shilong Liu 004; Jian Guo 016; Lionel M. Ni; Pengchuan Zhang; Lei Zhang 001 (CoRR, 2022)

APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning. - Jiashuo Sun; Hang Zhang 029; Chen Lin 001; Yeyun Gong; Jian Guo 016; Nan Duan 001 (CoRR, 2022)

Noisy Pair Corrector for Dense Retrieval. - Hang Zhang 029; Yeyun Gong; Xingwei He 003; Dayiheng Liu; Daya Guo; Jiancheng Lv 001; Jian Guo 016 (EMNLP (Findings), 2023)

AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation. - Tong Wu; Zhihao Fan; Xiao Liu 029; Hai-Tao Zheng 002; Yeyun Gong; Yelong Shen; Jian Jiao 007; Juntao Li; Zhongyu Wei; Jian Guo 016; Nan Duan 001; Weizhu Chen (NeurIPS, 2023)

Unveiling the Potential of Sentiment: Can Large Language Models Predict Chinese Stock Price Movements? - Haohan Zhang 006; Fengrui Hua; Chengjin Xu; Jian Guo 016; Hao Kong; Ruiting Zuo (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 001; Yeyun Gong; Heung-Yeung Shum; Jian Guo 016 (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 016 (CoRR, 2023)

Unlocking the Power of Large Language Models for Entity Alignment. - Xuhui Jiang; Yinghan Shen; Zhichao Shi 001; Chengjin Xu; Wei Li 176; Zixuan Li 001; Jian Guo 016; Huawei Shen; Yuanzhuo Wang (ACL (1), 2024)

APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning. - Jiashuo Sun; Hang Zhang 029; Chen Lin 001; Xiangdong Su; Yeyun Gong; Jian Guo 016 (LREC/COLING, 2024)

Knowledge Enhanced Pre-training for Cross-lingual Dense Retrieval. - Hang Zhang 029; Yeyun Gong; Dayiheng Liu; Shunyu Zhang; Xingwei He 003; Jiancheng Lv 001; Jian Guo 016 (LREC/COLING, 2024)

MM-ChatAlign: A Novel Multimodal Reasoning Framework based on Large Language Models for Entity Alignment. - Xuhui Jiang; Yinghan Shen; Zhichao Shi 001; Chengjin Xu; Wei Li 176; Huang Zihe; Jian Guo 016; Yuanzhuo Wang (EMNLP (Findings), 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 001; Yeyun Gong; Lionel M. Ni; Heung-Yeung Shum; Jian Guo 016 (ICLR, 2024)

Latent Diffusion-based Data Augmentation for Continuous-Time Dynamic Graph Model. - Yuxing Tian; Aiwen Jiang; Qi Huang; Jian Guo 016; Yiyan Qi (KDD, 2024)

Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models. - Yi Luo; Zhenghao Lin; Yuhao Zhang; Jiashuo Sun; Chen Lin 001; Chengjin Xu; Xiangdong Su; Yelong Shen; Jian Guo 016; Yeyun Gong (NAACL-HLT, 2024)

Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models. - Jiashuo Sun; Yi Luo; Yeyun Gong; Chen Lin 001; Yelong Shen; Jian Guo 016; Nan Duan 001 (NAACL-HLT (Findings), 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 001; Fei Sun 001; Zixuan Li 001; Jian Guo 016; Huawei Shen (WWW, 2024)

QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model. - Saizhuo Wang; Hang Yuan; Lionel M. Ni; Jian Guo 016 (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; et al. (CoRR, 2024)

A Survey on LLM-as-a-Judge. - Jiawei Gu; Xuhui Jiang; Zhichao Shi 001; Hexiang Tan; Xuehao Zhai; Chengjin Xu; Wei Li 176; Yinghan Shen; Shengjie Ma; Honghao Liu; Yuanzhuo Wang; Jian Guo 016 (CoRR, 2024)

Quant 4.0: engineering quantitative investment with automated, explainable, and knowledge-driven artificial intelligence. - Jian Guo 016; Saizhuo Wang; Lionel M. Ni; Heung-Yeung Shum (Frontiers Inf. Technol. Electron. Eng., 2024)

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 001; Jian Guo 016 (ACL (Findings), 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 016 (EMNLP (System Demonstrations), 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; et al. (EMNLP (Findings), 2025)

DeltaLag: Learning Dynamic Lead-Lag Patterns in Financial Markets. - Wanyun Zhou; Saizhuo Wang; Mihai Cucuringu; Zihao Zhang; Xiang Li 169; Jian Guo 016; Chao Zhang 118; Xiaowen Chu 001 (ICAIF, 2025)

CSPO: Cross-Market Synergistic Stock Price Movement Forecasting with Pseudo-volatility Optimization. - Sida Lin; Yankai Chen 001; Yiyan Qi; Chenhao Ma 001; Bokai Cao; Yifei Zhang; Xue Liu 001; Jian Guo 016 (WWW (Companion Volume), 2025)

From Deep Learning to LLMs: A survey of AI in Quantitative Investment. - Bokai Cao; Saizhuo Wang; Xinyi Lin; Xiaojun Wu; Haohan Zhang 006; Lionel M. Ni; Jian Guo 016 (CoRR, 2025)

QuantBench: Benchmarking AI Methods for Quantitative Investment. - Saizhuo Wang; Hao Kong; Jiadong Guo; Fengrui Hua; Yiyan Qi; Wanyun Zhou; Jiahao Zheng 009; Xinyu Wang; Lionel M. Ni; Jian Guo 016 (CoRR, 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 001; Jian Guo 016 (CoRR, 2025)

JudgeAgent: Knowledge-wise and Dynamic LLM Evaluation with Agent-as-Interviewer. - Zhichao Shi 001; Xuhui Jiang; Chengjin Xu; Cangli Yao; Zhenxin Huang; Shengjie Ma; Yinghan Shen; Jian Guo 016; Yuanzhuo Wang (CoRR, 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 001; Jia Li; Jian Guo 016 (CoRR, 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 001; Jian Guo 016 (CoRR, 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 016; Hui Xiong 001 (CoRR, 2025)

Large investment model. - Jian Guo 016; Heung-Yeung Shum (Frontiers Inf. Technol. Electron. Eng., 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 009; Xinyu Wang; Lionel M. Ni; Jian Guo 016 (Frontiers Inf. Technol. Electron. Eng., 2025)

BAG: Benchmarking Anomaly Detection on Dynamic Graphs. - Fengrui Hua; Yiyan Qi; Zikai Wei; Yuxing Tian; Chengjin Xu; Xiaojun Wu; Jia Li; Jian Guo 016 (AAAI, 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 016 (EACL (Findings), 2026)

Financial Wind Tunnel: A Retrieval-Augmented Market Simulator. - Bokai Cao; Xueyuan Lin; Yiyan Qi; Chengjin Xu; Cehao Yang; Jian Guo 016 (WWW, 2026)

Janus-Q: End-to-End Event-Driven Trading via Hierarchical-Gated Reward Modeling. - Xiang Li 169; Zikai Wei; Yiyan Qi; Wanyun Zhou; Xiang Liu 001; Penglei Sun; Jian Guo 016; Yongqi Zhang; Xiaowen Chu 001 (CoRR, 2026)

Unleashing Expert Opinion From Social Media for Stock Prediction. - Wanyun Zhou; Saizhuo Wang; Xiang Li 169; Yiyan Qi; Jian Guo 016; Xiaowen Chu 001 (IEEE Trans. Knowl. Data Eng., 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 016 (CoRR, 2026)

DataArc-SynData-Toolkit: A Unified Closed-Loop Framework for Multi-Path, Multimodal, and Multilingual Data Synthesis. - Zhichao Shi 001; Cehao Yang; Hao Zhou; Xiaojun Wu; Huajie Li; Xuhui Jiang; Chengjin Xu; Yuanzhuo Wang; Jian Guo 016 (CoRR, 2026)