I’m a fourth-year Ph.D. candidate at the School of Electronic Science and Engineering, Tongji University. I am very fortunate to be advised by Prof. Qijun Chen and Prof. Chengju Liu at the Robotics and Artificial Intelligence Lab (RAIL), Tongji University. Currently, I serve as the team leader of RAIL-VLN.

I am also an algorithm intern at the Center for Embodied AI, Shanghai AI Laboratory, under the mentorship of Dr. Hanqing Wang, Dr. Tai Wang, Dr. Yilun Chen, and Dr. Jiangmiao Pang.

My research interests include vision-and-language navigation, multimodal fusion, embodied AI, causal learning, knowledge distillation, and trajectory-instruction generation. I have published 10+ papers in top-tier AI conferences and journals such as CVPR, ICCV, ICML, IJCAI, ACMMM, IROS, TCSVT, EAAI, and TIM.

If you are interested in academic collaboration, feel free to email me.

🔥 News

• 2025.08: 🎉🎉 One paper accepted by TCSVT.
• 2025.05: 🎉🎉 Two papers accepted by ICCV 2025.
• 2024.06: 🎉🎉 Two papers accepted by IROS 2024.
• 2024.02: 🎉🎉 One paper accepted by CVPR 2024 and one by RAL.
• 2023.05: 🎉🎉 One paper accepted by IJCAI 2023.

📝 Selected Publications

• TCSVT 2025 NavComposer: Composing Language Instructions for Navigation Trajectories through Action-Scene-Object Modularization, Zongtao He, Liuyi Wang, Lu Chen, et al.
• ICCV 2025 Rethinking the Embodied Gap in Vision-and-Language Navigation: A Holistic Study of Physical and Visual Disparities, Liuyi Wang, Xinyuan Xia, Hui Zhao, et al.
• RAL 2025 Temporal Scene-Object Graph Learning for Object Navigation, Lu Chen, Zongtao He, Liuyi Wang, et al.
• IROS 2024 Multimodal Evolutionary Encoder for Continuous Vision-Language Navigation, Zongtao He, Liuyi Wang, Lu Chen, et al.
• IROS 2024 Enhanced Language-guided Robot Navigation with Panoramic Semantic Depth Perception and Cross-modal Fusion, Liuyi Wang, Jiagui Tang, Zongtao He, et al.
• CVPR 2024 Vision-and-Language via Causal Learning, Liuyi Wang, Zongtao He, Ronghao Dang, et al.
• Submitted MAGIC: Meta-Ability Guided Interactive Chain-of-Distillation for Effective-and-Efficient Vision-and-Language Navigation, Liuyi Wang, Zongtao He, Mengjiao Shen, et al.
• EAAI 2024 PASTS: Progress-Aware Spatio-Temporal Transformer Speaker For Vision-and- Language Navigation, Liuyi Wang, Chengju Liu, Zongtao He, et al.
• TCSVT 2024 Learning Depth Representation from RGB-D Videos by Time-Aware Contrastive Pre-training, Zongtao He, Liuyi Wang, Ronghao Dang, et al.
• IJCAI 2023 A Dual Semantic-Aware Recurrent Global-Adaptive Network for Vision-and-Language Navigation, Liuyi Wang, Zongtao He, Jiagui Tang, et al.
• TCSVT 2023 RES-StS: Referring Expression Speaker via Self-training with Scorer for Goal-Oriented Vision-Language Navigation, Liuyi Wang, Zongtao He, Ronghao Dang, et al.
• ICCV 2023 Search for or Navigate to? Dual Adaptive Thinking for Object Navigation, Ronghao Dang, Wang, liuyi, Zongtao He, et al.
• ICML 2023 Multiple Thinking Achieving Meta-Ability Decoupling for Object Navigation, Ronghao Dang, Lu Chen, Wang, liuyi, et al.
• ACMMM 2022 Unbiased Directed Object Attention Graph for Object Navigation, Ronghao Dang, Zhuofan Shi, Wang, liuyi, et al.
• RINAM 2021 Graph Based Twin Cost Matrices for Unbalanced Assignment Problem with Improved Ant Colony Algorithm, Liuyi Wang, Zongtao He, Chengju Liu, Qijun Chen.

🎖 Honors and Awards

• Recipient of the 2025 Tongji University’s Highest Honor: the Pursuit of Excellence Scholarship.
• Honored as an Outstanding Graduate of Shanghai Municipality.
• Awarded national and university-level scholarships including the Baosteel Excellent Student Award, Huawei Scholarship, and Tongji Excellent Doctoral Scholarship.
• Principal investigator of a youth project funded by the National Natural Science Foundation of China.
• Selected for the 2024 “Youth Talent Support Program for PhD Students” by the China Association for Science and Technology.
• Published 18 papers in top-tier AI and robotics conferences and journals such as CVPR, ICCV, ICML, IJCAI, TCSVT, and IROS.
• Granted and disclosed 4 national patents.
• Finalist for the 2025 World AI Conference Young Scholar Best Paper Award.
• Received Best Cognitive Paper Nomination at IROS, Best Paper Award at the Chinese Intelligent Automation Conference.
• Three-time champion of the RoboCup China Open (Home League).
• Served as reviewer for journals and conferences including TPAMI, TCSVT, TMM, EAAI, ICCV, ACMMM, and IROS.

📖 Education

• 2020.09 – Present, Ph.D. Candidate in Control Science and Engineering, Tongji University.
• 2016.09 – 2020.06, B.Eng. in Automation, Tongji University.

💻 Internships

• 2024.07 – Present, Algorithm Intern, Center for Embodied AI, Shanghai AI Lab, China.