Qineng Wang (王启能)

Qineng Wang (王启能)
CS Ph.D. Student · Northwestern University

I am a second-year Ph.D. student in Computer Science at Northwestern University, fortunately advised by Prof. Manling Li. I collaborate closely with the Stanford Vision and Learning Lab (SVL), working with Prof. Li Fei-Fei and Prof. Jiajun Wu on spatial intelligence and embodied agents. Before Northwestern, I received my bachelor's degree from Zhejiang University.

I am looking for 2026 summer internships focused on foundation models (MLLMs) for embodied agents — feel free to reach out!

Email: qinengw [at] u (dot) northwestern (dot) edu

Research Interests

Research vision: I study how foundation models develop spatial understanding and decision-making skills, so that embodied agents can act over long horizons and across diverse embodied experiences in complex environments.

Publications (show selected / show by date / show by topic)

Research Topics: Embodied World Modeling / Embodied Decision Making / Spatial Intelligence / Reasoning Agents

(* indicates equal contribution; † denotes co-advising.)

ENACT: Evaluating Embodied Cognition with World Modeling of Egocentric Interaction

Qineng Wang*, Wenlong Huang*, Yu Zhou, Hang Yin, Tianwei Bao, Jianwen Lyu, Weiyu Liu, Ruohan Zhang†, Jiajun Wu†, Li Fei-Fei†, Manling Li†

Preprint 2025

Spatial Mental Modeling from Limited Views

Qineng Wang*, Baiqiao Yin*, Pingyue Zhang, Jianshu Zhang, Kangrui Wang, Zihan Wang, Jieyu Zhang, Keshigeyan Chandrasegaran, Han Liu, Ranjay Krishna, Saining Xie, Manling Li†, Jiajun Wu†, Li Fei-Fei†

ICCV 2025 (SP4V Workshop) [Website][Paper][Code]

ICCV 2025 (SP4V Workshop) Best Paper Award · The Best of ICCV (featured by Voxel51)

Reinforcing Visual State Reasoning for Multi-Turn VLM Agents

Kangrui Wang*, Pingyue Zhang*, Zihan Wang*, Yaning Gao*, Linjie Li*, Qineng Wang, Hanyang Chen, Yiping Lu, Zhengyuan Yang, Lijuan Wang, Ranjay Krishna, Jiajun Wu, Li Fei-Fei, Yejin Choi, Manling Li

NeurIPS 2025 [Website][Paper][Code]

RAGEN: Understanding Self-Evolution in LLM Agents via Multi-turn Reinforcement Learning

Zihan Wang*, Kangrui Wang*, Qineng Wang*, Pingyue Zhang*, Linjie Li*, Zhengyuan Yang, Xing Jin, Kefan Yu, Minh Nhat Nguyen, Licheng Liu, Eli Gottlieb, Yiping Lu, Kyunghyun Cho, Jiajun Wu, Li Fei-Fei, Lijuan Wang, Yejin Choi, Manling Li

MMLS 2025 [Website][Paper][Code]

Best Poster Award

EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Rui Yang*, Hanyang Chen*, Junyu Zhang*, Mark Zhao*, Cheng Qian, Kangrui Wang, Qineng Wang, Teja Venkat Koripella, Marziyeh Movahedi, Manling Li, Heng Ji, Huan Zhang, Tong Zhang

ICML 2025 [Website][Paper][Code]

ICML Oral Presentation

Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making

Manling Li*, Shiyu Zhao*, Qineng Wang*, Kangrui Wang*, Yu Zhou*, Sanjana Srivastava, Jem Gokmen, Tony Lee, Li Li Erran, Ruohan Zhang, Weiyu Liu, Percy Liang, Li Fei-Fei, Jiayuan Mao, Jiajun Wu

NeurIPS (D&B Track) 2024 [Website][Paper][Code]

NeurIPS Oral Presentation · SoCal NLP 2024 Best Paper Award

Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?

Qineng Wang*, Zihao Wang*, Ying Su, Hanghang Tong, Yangqiu Song

ACL (Main) 2024 [Paper]
2025

ENACT: Evaluating Embodied Cognition with World Modeling of Egocentric Interaction

Qineng Wang*, Wenlong Huang*, Yu Zhou, Hang Yin, Tianwei Bao, Jianwen Lyu, Weiyu Liu, Ruohan Zhang†, Jiajun Wu†, Li Fei-Fei†, Manling Li†

Preprint 2025

SENTINEL: A Multi-Level Formal Framework for Safety Evaluation of LLM-based Embodied Agents

Simon Sinong Zhan*, Yao Liu*, Philip Wang*, Zinan Wang, Qineng Wang, Zhian Ruan, Xiangyu Shi, Xinyu Cao, Frank Yang, Kangrui Wang, Huajie Shao, Manling Li, Qi Zhu

arXiv 2025 [Website][Paper][Code]

Spatial Mental Modeling from Limited Views

Qineng Wang*, Baiqiao Yin*, Pingyue Zhang, Jianshu Zhang, Kangrui Wang, Zihan Wang, Jieyu Zhang, Keshigeyan Chandrasegaran, Han Liu, Ranjay Krishna, Saining Xie, Manling Li†, Jiajun Wu†, Li Fei-Fei†

ICCV 2025 (SP4V Workshop) [Website][Paper][Code]

ICCV 2025 (SP4V Workshop) Best Paper Award · The Best of ICCV (featured by Voxel51)

Reinforcing Visual State Reasoning for Multi-Turn VLM Agents

Kangrui Wang*, Pingyue Zhang*, Zihan Wang*, Yaning Gao*, Linjie Li*, Qineng Wang, Hanyang Chen, Yiping Lu, Zhengyuan Yang, Lijuan Wang, Ranjay Krishna, Jiajun Wu, Li Fei-Fei, Yejin Choi, Manling Li

NeurIPS 2025 [Website][Paper][Code]

RAGEN: Understanding Self-Evolution in LLM Agents via Multi-turn Reinforcement Learning

Zihan Wang*, Kangrui Wang*, Qineng Wang*, Pingyue Zhang*, Linjie Li*, Zhengyuan Yang, Xing Jin, Kefan Yu, Minh Nhat Nguyen, Licheng Liu, Eli Gottlieb, Yiping Lu, Kyunghyun Cho, Jiajun Wu, Li Fei-Fei, Lijuan Wang, Yejin Choi, Manling Li

MMLS 2025 [Website][Paper][Code]

Best Poster Award

EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Rui Yang*, Hanyang Chen*, Junyu Zhang*, Mark Zhao*, Cheng Qian, Kangrui Wang, Qineng Wang, Teja Venkat Koripella, Marziyeh Movahedi, Manling Li, Heng Ji, Huan Zhang, Tong Zhang

ICML 2025 [Website][Paper][Code]

ICML Oral Presentation

2024

Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making

Manling Li*, Shiyu Zhao*, Qineng Wang*, Kangrui Wang*, Yu Zhou*, Sanjana Srivastava, Jem Gokmen, Tony Lee, Li Li Erran, Ruohan Zhang, Weiyu Liu, Percy Liang, Li Fei-Fei, Jiayuan Mao, Jiajun Wu

NeurIPS (D&B Track) 2024 [Website][Paper][Code]

NeurIPS Oral Presentation · SoCal NLP 2024 Best Paper Award

Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?

Qineng Wang*, Zihao Wang*, Ying Su, Hanghang Tong, Yangqiu Song

ACL (Main) 2024 [Paper]

Lens: A Foundation Model for Network Traffic in Cybersecurity

Qineng Wang, Chen Qian, Xiaochang Li, Ziyu Yao, Huajie Shao

arXiv 2024 [Paper]
Embodied World Modeling

ENACT: Evaluating Embodied Cognition with World Modeling of Egocentric Interaction

Qineng Wang*, Wenlong Huang*, Yu Zhou, Hang Yin, Tianwei Bao, Jianwen Lyu, Weiyu Liu, Ruohan Zhang†, Jiajun Wu†, Li Fei-Fei†, Manling Li†

Preprint 2025

Spatial Mental Modeling from Limited Views

Qineng Wang*, Baiqiao Yin*, Pingyue Zhang, Jianshu Zhang, Kangrui Wang, Zihan Wang, Jieyu Zhang, Keshigeyan Chandrasegaran, Han Liu, Ranjay Krishna, Saining Xie, Manling Li†, Jiajun Wu†, Li Fei-Fei†

ICCV 2025 (SP4V Workshop) [Website][Paper][Code]

ICCV 2025 (SP4V Workshop) Best Paper Award · The Best of ICCV (featured by Voxel51)

EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Rui Yang*, Hanyang Chen*, Junyu Zhang*, Mark Zhao*, Cheng Qian, Kangrui Wang, Qineng Wang, Teja Venkat Koripella, Marziyeh Movahedi, Manling Li, Heng Ji, Huan Zhang, Tong Zhang

ICML 2025 [Website][Paper][Code]

ICML Oral Presentation

Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making

Manling Li*, Shiyu Zhao*, Qineng Wang*, Kangrui Wang*, Yu Zhou*, Sanjana Srivastava, Jem Gokmen, Tony Lee, Li Li Erran, Ruohan Zhang, Weiyu Liu, Percy Liang, Li Fei-Fei, Jiayuan Mao, Jiajun Wu

NeurIPS (D&B Track) 2024 [Website][Paper][Code]

NeurIPS Oral Presentation · SoCal NLP 2024 Best Paper Award

Embodied Decision Making

SENTINEL: A Multi-Level Formal Framework for Safety Evaluation of LLM-based Embodied Agents

Simon Sinong Zhan*, Yao Liu*, Philip Wang*, Zinan Wang, Qineng Wang, Zhian Ruan, Xiangyu Shi, Xinyu Cao, Frank Yang, Kangrui Wang, Huajie Shao, Manling Li, Qi Zhu

arXiv 2025 [Website][Paper][Code]

Reinforcing Visual State Reasoning for Multi-Turn VLM Agents

Kangrui Wang*, Pingyue Zhang*, Zihan Wang*, Yaning Gao*, Linjie Li*, Qineng Wang, Hanyang Chen, Yiping Lu, Zhengyuan Yang, Lijuan Wang, Ranjay Krishna, Jiajun Wu, Li Fei-Fei, Yejin Choi, Manling Li

NeurIPS 2025 [Website][Paper][Code]

RAGEN: Understanding Self-Evolution in LLM Agents via Multi-turn Reinforcement Learning

Zihan Wang*, Kangrui Wang*, Qineng Wang*, Pingyue Zhang*, Linjie Li*, Zhengyuan Yang, Xing Jin, Kefan Yu, Minh Nhat Nguyen, Licheng Liu, Eli Gottlieb, Yiping Lu, Kyunghyun Cho, Jiajun Wu, Li Fei-Fei, Lijuan Wang, Yejin Choi, Manling Li

MMLS 2025 [Website][Paper][Code]

Best Poster Award

EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents

Rui Yang*, Hanyang Chen*, Junyu Zhang*, Mark Zhao*, Cheng Qian, Kangrui Wang, Qineng Wang, Teja Venkat Koripella, Marziyeh Movahedi, Manling Li, Heng Ji, Huan Zhang, Tong Zhang

ICML 2025 [Website][Paper][Code]

ICML Oral Presentation

Embodied Agent Interface: Benchmarking LLMs for Embodied Decision Making

Manling Li*, Shiyu Zhao*, Qineng Wang*, Kangrui Wang*, Yu Zhou*, Sanjana Srivastava, Jem Gokmen, Tony Lee, Li Li Erran, Ruohan Zhang, Weiyu Liu, Percy Liang, Li Fei-Fei, Jiayuan Mao, Jiajun Wu

NeurIPS (D&B Track) 2024 [Website][Paper][Code]

NeurIPS Oral Presentation · SoCal NLP 2024 Best Paper Award

Spatial Intelligence

ENACT: Evaluating Embodied Cognition with World Modeling of Egocentric Interaction

Qineng Wang*, Wenlong Huang*, Yu Zhou, Hang Yin, Tianwei Bao, Jianwen Lyu, Weiyu Liu, Ruohan Zhang†, Jiajun Wu†, Li Fei-Fei†, Manling Li†

Preprint 2025

Spatial Mental Modeling from Limited Views

Qineng Wang*, Baiqiao Yin*, Pingyue Zhang, Jianshu Zhang, Kangrui Wang, Zihan Wang, Jieyu Zhang, Keshigeyan Chandrasegaran, Han Liu, Ranjay Krishna, Saining Xie, Manling Li†, Jiajun Wu†, Li Fei-Fei†

ICCV 2025 (SP4V Workshop) [Website][Paper][Code]

ICCV 2025 (SP4V Workshop) Best Paper Award · The Best of ICCV (featured by Voxel51)

Reasoning Agents

SENTINEL: A Multi-Level Formal Framework for Safety Evaluation of LLM-based Embodied Agents

Simon Sinong Zhan*, Yao Liu*, Philip Wang*, Zinan Wang, Qineng Wang, Zhian Ruan, Xiangyu Shi, Xinyu Cao, Frank Yang, Kangrui Wang, Huajie Shao, Manling Li, Qi Zhu

arXiv 2025 [Website][Paper][Code]

Reinforcing Visual State Reasoning for Multi-Turn VLM Agents

Kangrui Wang*, Pingyue Zhang*, Zihan Wang*, Yaning Gao*, Linjie Li*, Qineng Wang, Hanyang Chen, Yiping Lu, Zhengyuan Yang, Lijuan Wang, Ranjay Krishna, Jiajun Wu, Li Fei-Fei, Yejin Choi, Manling Li

NeurIPS 2025 [Website][Paper][Code]

RAGEN: Understanding Self-Evolution in LLM Agents via Multi-turn Reinforcement Learning

Zihan Wang*, Kangrui Wang*, Qineng Wang*, Pingyue Zhang*, Linjie Li*, Zhengyuan Yang, Xing Jin, Kefan Yu, Minh Nhat Nguyen, Licheng Liu, Eli Gottlieb, Yiping Lu, Kyunghyun Cho, Jiajun Wu, Li Fei-Fei, Lijuan Wang, Yejin Choi, Manling Li

MMLS 2025 [Website][Paper][Code]

Best Poster Award

Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?

Qineng Wang*, Zihao Wang*, Ying Su, Hanghang Tong, Yangqiu Song

ACL (Main) 2024 [Paper]

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