I am currently a research director at Intelligent Solution Research Center of E Fund, focusing on benefit finance with AI, especially Financial Foundation Models (FinFMs) and Agentic Engineering for investment research, risk management, and intelligent decision-making.
From 2022 to 2024, I was a principal scientist in Huawei (Top Minds Project) to develop AI-native products for optical network and intelligent cars. Previously, between 2020 and 2022, I visited Tencent AI Lab as a research intern, working closely with Dr. Hanbo Chen and Dr. Jianhua Yao. In 2018, I was fortunate to have a half-year internship supervised by Dr. Qiong Yan at SenseTime.
I obtained my Ph.D. from 2017 to 2022 at Tsinghua University (THU), supervised by Prof. Xiu Li. I also earned a B.Eng in Department of Automation and a B.Sc in Management at THU between 2013 and 2017.
I used to lead research for Tsinghua Intelligent Computation Lab where I founded the Medical Image Analysis Student Research Group and co-founded Reinforcement Learning Student Research Group. My current research interests span Financial Foundation Models, Agentic Engineering, Trustworthy AI, and Multimodal AI.
The symposium bridges pretrained large language models with financial services, addressing breakthroughs in technology, real-world applications, and emerging challenges including risk management, sentiment analysis, and algorithmic trading.
LLM-based Investment Advisor Agents for Asset Allocation in the Chinese Market. This task challenges participants to develop agents that interpret daily macroeconomic signals and sectoral shifts to execute daily asset-allocation strategies for designated ETF pools.
![]() |
Pangu ICT Large Foundation Model for Optical Network: OptiXChat
|
|
Intelligent Headlights for M9: Huawei X Pixel
|
|
![]() |
Intelligent Display: Huawei X Scene
|
![]() |
Intelligent Home Gateway for ChinaUnion: Huawei iFTTR F50
|
* means co-first authors. # means co-corresponding authors. Full list in Google Scholar.
|
Federated Financial Reasoning Distillation
|
Federated Financial Reasoning Distillation: Training A Small Financial Expert by Learning From Multiple Teachers
ACM International Conference on AI in Finance (ICAIF), 2025
|
|
Financial Foundation Models Survey
|
Advancing Financial Engineering with Foundation Models: Progress, Applications, and Challenges
Engineering, 2025 (IF=11.6)
|
|
Federated Foundation Models
|
Ten Challenging Problems in Federated Foundation Models
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2025 (IF=8.9)
|
|
Multimodal Foundation Model
|
Bridging Cognitive Gap: Hierarchical Description Learning for Artistic Image Aesthetics Assessment
AAAI Conference on Artificial Intelligence (AAAI), 2026
|
|
DeepSeek-R1 Γ Finance
|
When DeepSeek-R1 Meets Financial Applications: Benchmarking, Opportunities, and Limitations
Frontiers of Information Technology & Electronic Engineering, 2025, 26(10): 1862-1870 (IF=2.9)
|
![]() |
Efficient Continuous Control with Double Actors and Regularized Critics
AAAI Conference on Artificial Intelligence (AAAI), 2022 Oral
|
![]() |
Value Activation for Bias Alleviation: Generalized-activated Deep Double Deterministic Policy Gradients
Neurocomputing, 2023 (IF=6.5)
|
![]() |
Towards Better Understanding and Better Generalization of Low-shot Classification in Histology Images with Contrastive Learning
International Conference on Learning Representations (ICLR), 2022
|
![]() |
Hierarchical Attention Guided Framework for Multi-resolution Collaborative Whole Slide Image Segmentation
Medical Image Computing and Computer Assisted Interventions (MICCAI), 2021 Early Accept, Top 13%
|
![]() |
Anti-interference from Noisy Labels: Mean-Teacher-assisted Confident Learning for Medical Image Segmentation
IEEE Transactions on Medical Imaging (TMI), 2022 (IF=9.8)
|
![]() |
Neural Architecture Search for Compressed Sensing Magnetic Resonance Image Reconstruction
Computerized Medical Imaging and Graphics (CMIG), 2020 (IF=5.4)
|