Feng Chen

Associate Professor, University of Texas, Dallas

Joined

September 2019

Names

Feng Chen

Emails

****@utdallas.edu (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Associate Professor

University of Texas, Dallas (utdallas.edu)

2019 – Present

Advisors, Relations & Conflicts

PhD Advisor

Chang Tien Lu

2006 – 2012

Expertise

Uncertainty Quantificaiton

2018 – 2023

Anomaly detection

Out of Distribution detection

2012 – 2023

Publications

SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided Search
Dong Li, Xujiang Zhao, Linlin Yu, Yanchi Liu, Wei Cheng, Zhengzhang Chen, Zhong Chen, Feng Chen, Chen Zhao, Haifeng Chen
- NeurIPS 2025 poster
- Readers: Everyone
Evidential Uncertainty Probes for Graph Neural Networks
Linlin Yu, Kangshuo Li, Pritom Kumar Saha, Yifei Lou, Feng Chen
- AISTATS 2025 Poster
- Readers: Everyone
Predictive Uncertainty Quantification for Bird's Eye View Segmentation: A Benchmark and Novel Loss Function
Linlin Yu, Bowen Yang, Tianhao Wang, Kangshuo Li, Feng Chen
- ICLR 2025 Poster
- Readers: Everyone
Advancing Algorithmic Trading with Large Language Models: A Reinforcement Learning Approach for Stock Market Optimization
Ali Riahi Samani, Fateme Golivand Darvishvand, Feng Chen
- Submitted to ICLR 2025
- Readers: Everyone
Towards Fully Autonomous Driving with Automated Commonsense Reasoning
Keegan Kimbrell, Tianhao Wang, Gopal Gupta, Feng Chen
- Submitted to ICLR 2025
- Readers: Everyone
Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language Models
Mohammad Beigi, Sijia Wang, Ying Shen, Zihao Lin, Adithya Kulkarni, Jianfeng He, Feng Chen, Ming Jin, Jin-Hee Cho, Dawei Zhou, Chang-Tien Lu, Lifu Huang
- Submitted to ICLR 2025
- Readers: Everyone
ProvCreator: Synthesizing Graph Data with Text Attributes
Tianhao Wang, Simon Klancher, Kunal Mukherjee, Josh Wiedemeier, Feng Chen, Murat Kantarcioglu, Kangkook Jee
- Submitted to ICLR 2025
- Readers: Everyone
Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models
Aneesh Komanduri, Chen Zhao, Feng Chen, Xintao Wu
- ECAI 2024
- Readers: Everyone
Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms
Aneesh Komanduri, Yongkai Wu, Feng Chen, Xintao Wu
- IJCAI 2024
- Readers: Everyone
A survey on uncertainty reasoning and quantification in belief theory and its application to deep learning
Zhen Guo, Zelin Wan, Qisheng Zhang, Xujiang Zhao, Qi Zhang, Lance M. Kaplan, Audun Jøsang, Dong Hyun Jeong, Feng Chen, Jin-Hee Cho
- Published: 01 Jan 2024, Last Modified: 05 Nov 2023
- Inf. Fusion 2024
- Readers: Everyone

View all 74 publications

Co-Authors

View all 110 co-authors