Xiangru Jian

According to our database, Xiangru Jian authored at least 26 papers between 2023 and 2026.

Collaborative distances:

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

2026

FORGE: Fine-grained Multimodal Evaluation for Manufacturing Scenarios.

Xiangru Jian, Hao Xu, Wei Pang, Xinjian Zhao, Chengyu Tao, Qixin Zhang, Xikun Zhang, Chao Zhang, Guanzhi Deng, Alex Xue, Juan Du, Tianshu Yu, Garth Tarr, Linqi Song, Qiuzhuang Sun, Dacheng Tao

CoRR, April, 2026

CUA-Suite: Massive Human-annotated Video Demonstrations for Computer-Use Agents.

Xiangru Jian, Shravan Nayak, Kevin Qinghong Lin, Aarash Feizi, Kaixin Li, Patrice Béchard, Spandana Gella, Sai Rajeswar

CoRR, March, 2026

Spatio-temporal traffic accidents detection via graph based generative adversarial network.

Lyuyi Zhu, Qixin Zhang, Xiangru Jian, Yu Yang, Lishuai Li

Eng. Appl. Artif. Intell., 2026

The Duality between Large Language Models and Data Management System.

M. Tamer Özsu, Kerem Akillioglu, Xiangru Jian

IEEE Data Eng. Bull., 2026

2025

Grounding Computer Use Agents on Human Demonstrations.

Aarash Feizi, Shravan Nayak, Xiangru Jian, Kevin Qinghong Lin, Kaixin Li, Rabiul Awal, Xing Han Lù, Johan Obando-Ceron, Juan A. Rodríguez, Nicolas Chapados, David Vázquez, Adriana Romero-Soriano, Reihaneh Rabbany, Perouz Taslakian, Christopher Pal, Spandana Gella, Sai Rajeswar

CoRR, November, 2025

InteracSPARQL: An Interactive System for SPARQL Query Refinement Using Natural Language Explanations.

Xiangru Jian, Zhengyuan Dong, M. Tamer Özsu

CoRR, November, 2025

Scope: Selective Cross-modal Orchestration of Visual Perception Experts.

Tianyu Zhang, Suyuchen Wang, Chao Wang, Juan A. Rodríguez, Ahmed Masry, Xiangru Jian, Yoshua Bengio, Perouz Taslakian

CoRR, October, 2025

Paper2Poster: Towards Multimodal Poster Automation from Scientific Papers.

Wei Pang, Kevin Qinghong Lin, Xiangru Jian, Xi He, Philip Torr

CoRR, May, 2025

LazyVLM: Neuro-Symbolic Approach to Video Analytics.

Xiangru Jian, Wei Pang, Zhengyuan Dong, Chao Zhang, M. Tamer Özsu

CoRR, May, 2025

GraphOmni: A Comprehensive and Extendable Benchmark Framework for Large Language Models on Graph-theoretic Tasks.

Hao Xu, Xiangru Jian, Xinjian Zhao, Wei Pang, Chao Zhang, Suyuchen Wang, Qixin Zhang, Joao Monteiro, Qiuzhuang Sun, Tianshu Yu

CoRR, April, 2025

UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction.

Shravan Nayak, Xiangru Jian, Kevin Qinghong Lin, Juan A. Rodríguez, Montek Kalsi, Rabiul Awal, Nicolas Chapados, M. Tamer Özsu, Aishwarya Agrawal, David Vázquez, Christopher Pal, Perouz Taslakian, Spandana Gella, Sai Rajeswar

CoRR, March, 2025

AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Understanding.

Ahmed Masry, Juan A. Rodríguez, Tianyu Zhang, Suyuchen Wang, Chao Wang, Aarash Feizi, Akshay Kalkunte Suresh, Abhay Puri, Xiangru Jian, Pierre-André Noël, Sathwik Tejaswi Madhusudhan, Marco Pedersoli, Bang Liu, Nicolas Chapados, Yoshua Bengio, Enamul Hoque, Christopher Pal, Issam H. Laradji, David Vázquez, Perouz Taslakian, Spandana Gella, Sai Rajeswar

CoRR, February, 2025

Rethinking Spectral Augmentation for Contrast-based Graph Self-Supervised Learning.

Xiangru Jian, Xinjian Zhao, Wei Pang, Chaolong Ying, Yimu Wang, Yaoyao Xu, Tianshu Yu

Trans. Mach. Learn. Res., 2025

Graph convolutional network for traffic incidents duration classification.

Lyuyi Zhu, Qixin Zhang, Xiangru Jian, Yu Yang

Eng. Appl. Artif. Intell., 2025

The Underappreciated Power of Vision Models for Graph Structural Understanding.

Xinjian Zhao, Wei Pang, Zhongkai Xue, Xiangru Jian, Lei Zhang, Yaoyao Xu, Xiaozhuang Song, Shu Wu, Tianshu Yu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Document Understanding.

Ahmed Masry, Juan A. Rodríguez, Tianyu Zhang, Suyuchen Wang, Chao Wang, Aarash Feizi, Akshay Kalkunte Suresh, Abhay Puri, Xiangru Jian, Pierre-André Noël, Sathwik Tejaswi Madhusudhan, Marco Pedersoli, Bang Liu, Nicolas Chapados, Yoshua Bengio, Enamul Hoque, Chris Pal, Issam Hadj Laradji, David Vázquez, Perouz Taslakian, Spandana Gella, Sai Rajeswar Mudumba

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

DREAM: Improving Video-Text Retrieval Through Relevance-Based Augmentation Using Large Foundation Models.

Yimu Wang, Shuai Yuan, Bo Xue, Xiangru Jian, Wei Pang, Mushi Wang, Ning Yu

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

UI-Vision: A Desktop-centric GUI Benchmark for Visual Perception and Interaction.

Shravan Nayak, Xiangru Jian, Kevin Qinghong Lin, Juan A. Rodríguez, Montek Kalsi, Nicolas Chapados, M. Tamer Özsu, Aishwarya Agrawal, David Vázquez, Christopher Pal, Perouz Taslakian, Spandana Gella, Sai Rajeswar

Proceedings of the Forty-second International Conference on Machine Learning, 2025

BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks.

Juan A. Rodríguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi, Abhay Puri, Akshay Kalkunte Suresh, François Savard, Ahmed Masry, Shravan Nayak, Rabiul Awal, Mahsa Massoud, Amirhossein Abaskohi, Zichao Li, Suyuchen Wang, Pierre-André Noël, Mats Leon Richter, Saverio Vadacchino, Shubham Agarwal, Sanket Biswas, et al.

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks.

Juan A. Rodríguez, Xiangru Jian, Siba Smarak Panigrahi, Tianyu Zhang, Aarash Feizi, Abhay Puri, Akshay Kalkunte, François Savard, Ahmed Masry, Shravan Nayak, Rabiul Awal, Mahsa Massoud, Amirhossein Abaskohi, Zichao Li, Suyuchen Wang, Pierre-André Noël, Mats Leon Richter, Saverio Vadacchino, Shubbam Agarwal, Sanket Biswas, Sara Shanian, Ying Zhang, Noah Bolger, Kurt MacDonald, Simon Fauvel, Sathwik Tejaswi, Srinivas Sunkara, João Monteiro, Krishnamurthy Dj Dvijotham, Torsten Scholak, Nicolas Chapados, Sepideh Kharagani, Sean Hughes, M. Tamer Özsu, Siva Reddy, Marco Pedersoli, Yoshua Bengio, Christopher Pal, Issam H. Laradji, Spandana Gella, Perouz Taslakian, David Vázquez, Sai Rajeswar

CoRR, 2024

Do spectral cues matter in contrast-based graph self-supervised learning?

Xiangru Jian, Xinjian Zhao, Wei Pang, Chaolong Ying, Yimu Wang, Yaoyao Xu, Tianshu Yu

CoRR, 2024

HaVTR: Improving Video-Text Retrieval Through Augmentation Using Large Foundation Models.

Yimu Wang, Shuai Yuan, Xiangru Jian, Wei Pang, Mushi Wang, Ning Yu

CoRR, 2024

2023

Balance Act: Mitigating Hubness in Cross-Modal Retrieval with Query and Gallery Banks.

Yimu Wang, Xiangru Jian, Bo Xue

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

InvGC: Robust Cross-Modal Retrieval by Inverse Graph Convolution.

Xiangru Jian, Yimu Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Communication-Efficient Decentralized Online Continuous DR-Submodular Maximization.

Qixin Zhang, Zengde Deng, Xiangru Jian, Zaiyi Chen, Haoyuan Hu, Yu Yang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Roughness Index for Loss Landscapes of Neural Network Models of Partial Differential Equations^*.

Keke Wu, Xiangru Jian, Rui Du, Jingrun Chen, Xiang Zhou

Proceedings of the IEEE International Conference on Big Data, 2023