Anbang Liu

Anbang Liu profile photo

I am a master’s student in Computer Science at Northwestern University, where I have been very fortunate to be advised by Professor Manling Li on research in reasoning and planning for multimodal intelligence.

I was a visiting student at the University of Chicago, where I am grateful to collaborate with Professor Siwei Chen and Professor Junhan Zhao on research in AI for Science. I collaborate closely with Professor David Demeter and Professor Han Liu. I received my undergraduate degree from the University of San Francisco.

anbangliu AT u.northwestern.edu

News

Publications (* = equal contribution, † = co-corresponding author)

Figure 1 from ProgressCompass: context-dependent progress estimation through state recall, sequence tracking, and recurrence disambiguation

ProgressCompass: Embodied Progress Reward Models Are Lost Without the Right Context

Jianshu Zhang*, Keliang Wu*, Chengxuan Qian, Xiyuan Yang, Ce Zhang, Ariel Tian, Anbang Liu, Haoran Lu, Han Liu

2026. [paper] [code] [project]

MindTopo project teaser: topological reasoning and planning tasks across five categories

MindTopo: Can Foundation Models Reason in Topological Space?

Yunfei Ge*, Anbang Liu*, Qineng Wang*, Johnalbert Garnica*, Jianwen Lyu, Zihan Wang, Reuben Tan, Jianfeng Gao, Ruohan Zhang, Yining Hong, Jiajun Wu, Manling Li

[paper] [code] [project]

Accepted to five NeurIPS 2026 workshops: NEmo (Oral Presentation); Grounded and Faithful Vision-Language Models for Real-World Deployment (VLM4RWD, Oral Presentation); BabyVLM (Oral Presentation); DevAI (Poster); Embodied Spatial Reasoning (ESR).

Overview of FABRIC for multi-institutional pediatric glioma recurrence prediction

Privacy-Preserving Federated Distillation of Foundation Models for Multi-Institutional Pediatric Glioma Recurrence Prediction

Jiying Wang*, Anbang Liu*, Zheyi Ji, Philip Chikontwe, Jiancheng Yang, Biyue Zhu, Peter Pytel, Sudarshawn Damodharan, Ziyue Xu, Kun-Hsing Yu, Samuel L. Volchenboum, Junhan Zhao

[paper] [code]

Accepted to the PedAItrics Workshop at MICCAI 2026 (Oral Presentation).

Graphical abstract of AI-Powered Medicinal Chemistry and Translational Drug Development

AI-Powered Medicinal Chemistry and Translational Drug Development

Kaicheng U*, Sophia Meixuan Zhang*, Ziyu Yu*, Zechuan Zhang, Jianwei Zhang, Chang He, Anbang Liu, Rui Chen, Stella Wang, Lijie Yan, Shichao Ding, Lavonda Li, Zongxin Yang, Gao Xiao, Xushuai Zhang, Kaige Bao, Haohan Wang, Athanasios V. Vasilakos†, Junhan Zhao†, Siwei Chen†, Xingcai Zhang†

[paper]

Chemical Society Reviews, 2026.

Figure 1 from Progress Reward Modeling for Robotic Learning: A Comprehensive Survey

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey

Jianshu Zhang, Keliang Wu, Haoran Lu, Anbang Liu, Ce Zhang, Weijie Yin, Chengxuan Qian, Xiyuan Yang, Zhenyu Pan, Guo Ye, Han Liu

2026. [paper] [code]

Figure 1b: ReCLIP framework for residue-centered modeling of protein-protein interactions

Learning Residue-Level Context for Modeling Protein-Protein Interactions

Zechuan Zhang*, Zongxin Yang*, Anbang Liu*, Kun-Hsing Yu, Junhan Zhao, Yi Yang†, Benjamin Neale†, Siwei Chen†

2026. [paper] [code]

Figure from Data-Centric Visual Development for Self-Driving Labs

Data-Centric Visual Development for Self-Driving Labs

Anbang Liu, Guanzhong Hu, Jiayi Wang, Ping Guo, Han Liu

2025. [paper] [code]

Professional Service

Workshop Reviewer: NeurIPS 2026 WM PAI