Junda Wu

According to our database, Junda Wu authored at least 31 papers between 2020 and 2024.

Collaborative distances:

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

2024

CoLLAP: Contrastive Long-form Language-Audio Pretraining with Musical Temporal Structure Augmentation.

Junda Wu, Warren Li, Zachary Novack, Amit Namburi, Carol Chen, Julian J. McAuley

CoRR, 2024

Self-Updatable Large Language Models with Parameter Integration.

Yu Wang, Xinshuang Liu, Xiusi Chen, Sean O'Brien, Junda Wu, Julian J. McAuley

CoRR, 2024

Federated Large Language Models: Current Progress and Future Directions.

Yuhang Yao, Jianyi Zhang, Junda Wu, Chengkai Huang, Yu Xia, Tong Yu, Ruiyi Zhang, Sungchul Kim, Ryan Rossi, Ang Li, Lina Yao, Julian J. McAuley, Yiran Chen, Carlee Joe-Wong

CoRR, 2024

Visual Prompting in Multimodal Large Language Models: A Survey.

Junda Wu, Zhehao Zhang, Yu Xia, Xintong Li, Zhaoyang Xia, Aaron Chang, Tong Yu, Sungchul Kim, Ryan A. Rossi, Ruiyi Zhang, Subrata Mitra, Dimitris N. Metaxas, Lina Yao, Jingbo Shang, Julian J. McAuley

CoRR, 2024

CoMMIT: Coordinated Instruction Tuning for Multimodal Large Language Models.

Junda Wu, Xintong Li, Tong Yu, Yu Wang, Xiang Chen, Jiuxiang Gu, Lina Yao, Jingbo Shang, Julian J. McAuley

CoRR, 2024

Futga: Towards Fine-grained Music Understanding through Temporally-enhanced Generative Augmentation.

Junda Wu, Zachary Novack, Amit Namburi, Jiaheng Dai, Hao-Wen Dong, Zhouhang Xie, Carol Chen, Julian J. McAuley

CoRR, 2024

List Items One by One: A New Data Source and Learning Paradigm for Multimodal LLMs.

An Yan, Zhengyuan Yang, Junda Wu, Wanrong Zhu, Jianwei Yang, Linjie Li, Kevin Lin, Jianfeng Wang, Julian J. McAuley, Jianfeng Gao, Lijuan Wang

CoRR, 2024

Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey.

Xiaoyu Liu, Paiheng Xu, Junda Wu, Jiaxin Yuan, Yifan Yang, Yuhang Zhou, Fuxiao Liu, Tianrui Guan, Haoliang Wang, Tong Yu, Julian J. McAuley, Wei Ai, Furong Huang

CoRR, 2024

Interact with the Explanations: Causal Debiased Explainable Recommendation System.

Xu Liu, Tong Yu, Kaige Xie, Junda Wu, Shuai Li

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Neighborhood-Based Collaborative Filtering for Conversational Recommendation.

Zhouhang Xie, Junda Wu, Hyunsik Jeon, Zhankui He, Harald Steck, Rahul Jha, Dawen Liang, Nathan Kallus, Julian J. McAuley

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning.

Rui Wang, Tong Yu, Ruiyi Zhang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Junda Wu, Subrata Mitra, Lina Yao, Ricardo Henao

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation.

Junda Wu, Cheng-Chun Chang, Tong Yu, Zhankui He, Jianing Wang, Yupeng Hou, Julian J. McAuley

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt Tuning.

Kaige Xie, Tong Yu, Haoliang Wang, Junda Wu, Handong Zhao, Ruiyi Zhang, Kanak Mahadik, Ani Nenkova, Mark O. Riedl

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention.

Junda Wu, Tong Yu, Xiang Chen, Haoliang Wang, Ryan A. Rossi, Sungchul Kim, Anup B. Rao, Julian J. McAuley

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment.

Jianing Wang, Junda Wu, Yupeng Hou, Yao Liu, Ming Gao, Julian J. McAuley

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Clustering of conversational bandits with posterior sampling for user preference learning and elicitation.

Qizhi Li, Canzhe Zhao, Tong Yu, Junda Wu, Shuai Li

User Model. User Adapt. Interact., November, 2023

FinVis-GPT: A Multimodal Large Language Model for Financial Chart Analysis.

Ziao Wang, Yuhang Li, Junda Wu, Jaehyeon Soon, Xiaofeng Zhang

CoRR, 2023

An Effective Data Creation Pipeline to Generate High-quality Financial Instruction Data for Large Language Model.

Ziao Wang, Jianning Wang, Junda Wu, Xiaofeng Zhang

CoRR, 2023

Computationally efficient human body modelling for real time motion comfort assessment.

Raj Desai, Marko M. Cvetkovic, Junda Wu, Georgios Papaioannou, Riender Happee

CoRR, 2023

Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer.

Kaige Xie, Tong Yu, Haoliang Wang, Junda Wu, Handong Zhao, Ruiyi Zhang, Kanak Mahadik, Ani Nenkova, Mark O. Riedl

CoRR, 2023

InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding.

Junda Wu, Tong Yu, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

User-Regulation Deconfounded Conversational Recommender System with Bandit Feedback.

Yu Xia, Junda Wu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Shuai Li

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Content-aware Progressive Image Compression and Syncing.

Junda Wu, Haoliang Wang, Tong Yu, Gang Wu, Stefano Petrangeli, Handong Zhao, Sungchul Kim, Viswanathan Swaminathan

Proceedings of the IEEE International Symposium on Multimedia, 2023

Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets.

Rui Wang, Tong Yu, Junda Wu, Handong Zhao, Sungchul Kim, Ruiyi Zhang, Subrata Mitra, Ricardo Henao

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

Few-Shot Composition Learning for Image Retrieval with Prompt Tuning.

Junda Wu, Rui Wang, Handong Zhao, Ruiyi Zhang, Chaochao Lu, Shuai Li, Ricardo Henao

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Dynamics-Aware Adaptation for Reinforcement Learning Based Cross-Domain Interactive Recommendation.

Junda Wu, Zhihui Xie, Tong Yu, Handong Zhao, Ruiyi Zhang, Shuai Li

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Spatial-Temporal Aligned Multi-Agent Learning for Visual Dialog Systems.

Yong Zhuang, Tong Yu, Junda Wu, Shiqu Wu, Shuai Li

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling.

Junda Wu, Rui Wang, Tong Yu, Ruiyi Zhang, Handong Zhao, Shuai Li, Ricardo Henao, Ani Nenkova

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Deconfounded and Explainable Interactive Vision-Language Retrieval of Complex Scenes.

Junda Wu, Tong Yu, Shuai Li

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Clustering of Conversational Bandits for User Preference Learning and Elicitation.

Junda Wu, Canzhe Zhao, Tong Yu, Jingyang Li, Shuai Li

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Graph-DPP: Sampling Diverse Neighboring Nodes via Determinantal Point Process.

Yaping Zheng, Junda Wu, Xiaofeng Zhang, Xiaowen Chu

Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020