Xinyuan Chang

According to our database, Xinyuan Chang authored at least 27 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

ABot-Claw: A Foundation for Persistent, Cooperative, and Self-Evolving Robotic Agents.

Dongjie Huo, Haoyun Liu, Guoqing Liu, Dekang Qi, Zhiming Sun, Maoguo Gao, Jianxin He, Yandan Yang, Xinyuan Chang, Feng Xiong, Xing Wei, Zhiheng Ma, Mu Xu

CoRR, April, 2026

ABot-PhysWorld: Interactive World Foundation Model for Robotic Manipulation with Physics Alignment.

Yuzhi Chen, Ronghan Chen, Dongjie Huo, Yandan Yang, Dekang Qi, Haoyun Liu, Tong Lin, Shuang Zeng, Junjin Xiao, Xinyuan Chang, Feng Xiong, Xing Wei, Zhiheng Ma, Mu Xu

CoRR, March, 2026

Neural Implicit Action Fields: From Discrete Waypoints to Continuous Functions for Vision-Language-Action Models.

Haoyun Liu, Jianzhuang Zhao, Xinyuan Chang, Tianle Shi, Chuanzhang Meng, Jiayuan Tan, Feng Xiong, Tong Lin, Dongjie Huo, Mu Xu, SongLin Dong, Zhiheng Ma, Yihong Gong, Sheng Zhong

CoRR, March, 2026

MindDriver: Introducing Progressive Multimodal Reasoning for Autonomous Driving.

Lingjun Zhang, Yujian Yuan, Changjie Wu, Xinyuan Chang, Xin Cai, Shuang Zeng, Linzhe Shi, Sijin Wang, Hang Zhang, Mu Xu

CoRR, February, 2026

ABot-M0: VLA Foundation Model for Robotic Manipulation with Action Manifold Learning.

Yandan Yang, Shuang Zeng, Tong Lin, Xinyuan Chang, Dekang Qi, Junjin Xiao, Haoyun Liu, Ronghan Chen, Yuzhi Chen, Dongjie Huo, Feng Xiong, Xing Wei, Zhiheng Ma, Mu Xu

CoRR, February, 2026

MerNav: A Highly Generalizable Memory-Execute-Review Framework for Zero-Shot Object Goal Navigation.

Dekang Qi, Shuang Zeng, Xinyuan Chang, Feng Xiong, Shichao Xie, Xiaolong Wu, Mu Xu

CoRR, February, 2026

PriorDrive: Enhancing Online HD Mapping with Unified Vector Priors.

Shuang Zeng, Xinyuan Chang, Xinran Liu, Yujian Yuan, Shiyi Liang, Zheng Pan, Mu Xu, Xing Wei

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

UniMapGen: A Generative Framework for Large-Scale Map Construction from Multi-modal Data.

Yujian Yuan, Changjie Wu, Xinyuan Chang, Sijin Wang, Hang Zhang, Shiyi Liang, Shuang Zeng, Mu Xu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Persistent Autoregressive Mapping with Traffic Rules for Autonomous Driving.

Shiyi Liang, Xinyuan Chang, Changjie Wu, Huiyuan Yan, Yifan Bai, Xinran Liu, Hang Zhang, Yujian Yuan, Shuang Zeng, Mu Xu, Xing Wei

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

AMap: Distilling Future Priors for Ahead-Aware Online HD Map Construction.

Ruikai Li, Xinrun Li, Mengwei Xie, Hao Shan, Shoumeng Qiu, Xinyuan Chang, Yizhe Fan, Feng Xiong, Han Jiang, Yilong Ren, Haiyang Yu, Mu Xu, Yang Long, Varun Ojha, Zhiyong Cui

CoRR, December, 2025

Seeing Space and Motion: Enhancing Latent Actions with Spatial and Dynamic Awareness for VLA.

Zhejia Cai, Yandan Yang, Xinyuan Chang, Shiyi Liang, Ronghan Chen, Feng Xiong, Mu Xu, Ruqi Huang

CoRR, September, 2025

World-Env: Leveraging World Model as a Virtual Environment for VLA Post-Training.

Junjin Xiao, Yandan Yang, Xinyuan Chang, Ronghan Chen, Feng Xiong, Mu Xu, Wei-Shi Zheng, Qing Zhang

CoRR, September, 2025

JanusVLN: Decoupling Semantics and Spatiality with Dual Implicit Memory for Vision-Language Navigation.

Shuang Zeng, Dekang Qi, Xinyuan Chang, Feng Xiong, Shichao Xie, Xiaolong Wu, Shiyi Liang, Mu Xu, Xing Wei

CoRR, September, 2025

Driving by Hybrid Navigation: An Online HD-SD Map Association Framework and Benchmark for Autonomous Vehicles.

Jiaxu Wan, Xu Wang, Mengwei Xie, Xinyuan Chang, Xinran Liu, Zheng Pan, Mu Xu, Ding Yuan

CoRR, July, 2025

FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving.

Shuang Zeng, Xinyuan Chang, Mengwei Xie, Xinran Liu, Yifan Bai, Zheng Pan, Mu Xu, Xing Wei

CoRR, May, 2025

SeqGrowGraph: Learning Lane Topology as a Chain of Graph Expansions.

Mengwei Xie, Shuang Zeng, Xinyuan Chang, Xinran Liu, Zheng Pan, Mu Xu, Xing Wei

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Driving by the Rules: A Benchmark for Integrating Traffic Sign Regulations into Vectorized HD Map.

Xinyuan Chang, Maixuan Xue, Xinran Liu, Zheng Pan, Xing Wei

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Driving with Prior Maps: Unified Vector Prior Encoding for Autonomous Vehicle Mapping.

Shuang Zeng, Xinyuan Chang, Xinran Liu, Zheng Pan, Xing Wei

CoRR, 2024

2022

Towards an Automatic Approach for Assessing Program Competencies.

Xinyuan Chang, Bingxin Wang, Bowen Hui

Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 2022

2021

Analogy-Detail Networks for Object Recognition.

Xiaoyu Tao, Xiaopeng Hong, Weiwei Shi, Xinyuan Chang, Yihong Gong

IEEE Trans. Neural Networks Learn. Syst., 2021

Few-Shot Class-Incremental Learning via Relation Knowledge Distillation.

Songlin Dong, Xiaopeng Hong, Xiaoyu Tao, Xinyuan Chang, Xing Wei, Yihong Gong

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Transductive semi-supervised metric learning for person re-identification.

Xinyuan Chang, Zhiheng Ma, Xing Wei, Xiaopeng Hong, Yihong Gong

Pattern Recognit., 2020

Class-Incremental Learning with Topological Schemas of Memory Spaces.

Xinyuan Chang, Xiaoyu Tao, Xiaopeng Hong, Xing Wei, Wei Ke, Yihong Gong

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Topology-Preserving Class-Incremental Learning.

Xiaoyu Tao, Xinyuan Chang, Xiaopeng Hong, Xing Wei, Yihong Gong

Proceedings of the Computer Vision - ECCV 2020, 2020

Few-Shot Class-Incremental Learning.

Xiaoyu Tao, Xiaopeng Hong, Xinyuan Chang, Songlin Dong, Xing Wei, Yihong Gong

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Bi-Objective Continual Learning: Learning 'New' While Consolidating 'Known'.

Xiaoyu Tao, Xiaopeng Hong, Xinyuan Chang, Yihong Gong

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Consistency-Preserving deep hashing for fast person re-identification.

Diangang Li, Yihong Gong, De Cheng, Weiwei Shi, Xiaoyu Tao, Xinyuan Chang

Pattern Recognit., 2019