Xiangru Jian

According to our database, Xiangru Jian authored at least 16 papers between 2023 and 2025.

Collaborative distances:

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

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

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

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