Junda Wu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
40
Venues
18
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
40 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Evaluating Language Model Pluralism through In-the-wild Crowd Discussions. | Gagan Mundada, Rohan Surana, Nandhini Swaminathan, Bodhisattwa Prasad Majumder, Junda Wu, Julian J. McAuley, Zhouhang Xie |
| 2026 | ACL | SceneAlign: Aligning Multimodal Reasoning to Scene Graphs in Complex Visual Scenes. | Chuhan Wang, Xintong Li, Jennifer Yuntong Zhang, Junda Wu, Chengkai Huang, Lina Yao, Julian J. McAuley, Jingbo Shang |
| 2026 | ACL | CachePrune: Teaching LLMs What Not to Follow via KV-Cache Editing. | Rui Wang, Junda Wu, Yu Xia, Tong Yu, Ruiyi Zhang, Ryan A. Rossi, Subrata Mitra, Lina Yao, Julian J. McAuley |
| 2026 | EACL | A Survey on LLM-based Conversational User Simulation. | Bo Ni, Yu Wang, Leyao Wang, Branislav Kveton, Franck Dernoncourt, Yu Xia, Hongjie Chen, Reuben Luera, Samyadeep Basu, Subhojyoti Mukherjee, Puneet Mathur, Nesreen K. Ahmed, Junda Wu, Li Li, Huixin Zhang, Ruiyi Zhang, Tong Yu, Sungchul Kim, Jiuxiang Gu, Zhengzhong Tu, Alexa F. Siu, Zichao Wang, Seunghyun Yoon, Nedim Lipka, Namyong Park, Zihao Lin, Trung Bui, Yue Zhao, Tyler Derr, Ryan A. Rossi |
| 2026 | KSEM | Semantic Knowledge-Guided Object-Goal Navigation for Robots in Localized Scenes. | Chang Zhang, Junda Wu, Jizhe Hou, Yuchen Zhang, Huangcheng Jia, Zhenchao Ouyang |
| 2026 | PAKDD | 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 |
| 2026 | SIGIR | CSyMR: Benchmarking Compositional Music Information Retrieval in Symbolic Music Reasoning. | Boyang Wang, Yash Vishe, Xin Xu, Zachary Novack, Xunyi Jiang, Julian J. McAuley, Junda Wu |
| 2025 | ACL | GUI Agents: A Survey. | Dang Nguyen, Jian Chen, Yu Wang, Gang Wu, Namyong Park, Zhengmian Hu, Hanjia Lyu, Junda Wu, Ryan Aponte, Yu Xia, Xintong Li, Jing Shi, Hongjie Chen, Viet Dac Lai, Zhouhang Xie, Sungchul Kim, Ruiyi Zhang, Tong Yu, Md. Mehrab Tanjim, Nesreen K. Ahmed, Puneet Mathur, Seunghyun Yoon, Lina Yao, Branislav Kveton, Jihyung Kil, Thien Huu Nguyen, Trung Bui, Tianyi Zhou, Ryan A. Rossi, Franck Dernoncourt |
| 2025 | ACL | Doc-React: Multi-page Heterogeneous Document Question-answering. | Junda Wu, Yu Xia, Tong Yu, Xiang Chen, Sai Sree Harsha, Akash V. Maharaj, Ruiyi Zhang, Victor S. Bursztyn, Sungchul Kim, Ryan A. Rossi, Julian J. McAuley, Yunyao Li, Ritwik Sinha |
| 2025 | ACL | From Selection to Generation: A Survey of LLM-based Active Learning. | Yu Xia, Subhojyoti Mukherjee, Zhouhang Xie, Junda Wu, Xintong Li, Ryan Aponte, Hanjia Lyu, Joe Barrow, Hongjie Chen, Franck Dernoncourt, Branislav Kveton, Tong Yu, Ruiyi Zhang, Jiuxiang Gu, Nesreen K. Ahmed, Yu Wang, Xiang Chen, Hanieh Deilamsalehy, Sungchul Kim, Zhengmian Hu, Yue Zhao, Nedim Lipka, Seunghyun Yoon, Ting-Hao 'Kenneth' Huang, Zichao Wang, Puneet Mathur, Soumyabrata Pal, Koyel Mukherjee, Zhehao Zhang, Namyong Park, Thien Huu Nguyen, Jiebo Luo, Ryan A. Rossi, Julian J. McAuley |
| 2025 | EMNLP | Image Difference Captioning via Adversarial Preference Optimization. | Zihan Huang, Junda Wu, Rohan Surana, Tong Yu, David Arbour, Ritwik Sinha, Julian J. McAuley |
| 2025 | EMNLP | CoMMIT: Coordinated Multimodal Instruction Tuning. | Xintong Li, Junda Wu, Tong Yu, Rui Wang, Yu Wang, Xiang Chen, Jiuxiang Gu, Lina Yao, Julian J. McAuley, Jingbo Shang |
| 2025 | EMNLP | WildScore: Benchmarking MLLMs in-the-Wild Symbolic Music Reasoning. | Gagan Mundada, Yash Vishe, Amit Namburi, Xin Xu, Zachary Novack, Julian J. McAuley, Junda Wu |
| 2025 | EMNLP | Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent. | Junda Wu, Yuxin Xiong, Xintong Li, Yu Xia, Ruoyu Wang, Yu Wang, Tong Yu, Sungchul Kim, Ryan A. Rossi, Lina Yao, Jingbo Shang, Julian J. McAuley |
| 2025 | EMNLP | SAND: Boosting LLM Agents with Self-Taught Action Deliberation. | Yu Xia, Yiran Shen, Junda Wu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Lina Yao, Julian J. McAuley |
| 2025 | EMNLP | Explainable Chain-of-Thought Reasoning: An Empirical Analysis on State-Aware Reasoning Dynamics. | Sheldon Yu, Yuxin Xiong, Junda Wu, Xintong Li, Tong Yu, Xiang Chen, Ritwik Sinha, Jingbo Shang, Julian J. McAuley |
| 2025 | ICASSP | 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 |
| 2025 | ICASSP | FUTGA-MIR: Enhancing Fine-grained and Temporally-aware Music Understanding with Music Information Retrieval. | Junda Wu, Zachary Novack, Amit Namburi, Hao-Wen Dong, Carol Chen, Jiaheng Dai, Julian J. McAuley |
| 2025 | ICLR | Self-Updatable Large Language Models by Integrating Context into Model Parameters. | Yu Wang, Xinshuang Liu, Xiusi Chen, Sean O'Brien, Junda Wu, Julian J. McAuley |
| 2025 | ICLR | OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models. | Junda Wu, Xintong Li, Ruoyu Wang, Yu Xia, Yuxin Xiong, Jianing Wang, Tong Yu, Xiang Chen, Branislav Kveton, Lina Yao, Jingbo Shang, Julian J. McAuley |
| 2025 | IROS | Weakly-supervised VLM-guided Partial Contrastive Learning for Visual Language Navigation. | Ruoyu Wang, Tong Yu, Junda Wu, Yao Liu, Julian J. McAuley, Lina Yao |
| 2025 | NAACL | 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 |
| 2025 | NAACL | Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval. | Yu Xia, Junda Wu, Sungchul Kim, Tong Yu, Ryan A. Rossi, Haoliang Wang, Julian J. McAuley |
| 2025 | RANLP | A Survey on Small Language Models. | Chien Van Nguyen, Xuan Shen, Ryan Aponte, Yu Xia, Samyadeep Basu, Zhengmian Hu, Jian Chen, Mihir Parmar, Sasidhar Kunapuli, Joe Barrow, Junda Wu, Ashish Singh, Yu Wang, Jiuxiang Gu, Nesreen K. Ahmed, Nedim Lipka, Ruiyi Zhang, Xiang Chen, Tong Yu, Sungchul Kim, Hanieh Deilamsalehy, Namyong Park, Michael Rimer, Zhehao Zhang, Huanrui Yang, Puneet Mathur, Gang Wu, Franck Dernoncourt, Ryan A. Rossi, Thien Huu Nguyen |
| 2025 | RecSys | A Tutorial on Agentic LLM for Recommender Systems. | Chengkai Huang, Junda Wu, Tong Yu, Julian J. McAuley, Lina Yao |
| 2025 | WWW | Interactive Visualization Recommendation with Hier-SUCB. | Songwen Hu, Ryan A. Rossi, Tong Yu, Junda Wu, Handong Zhao, Sungchul Kim, Shuai Li |
| 2024 | ACL | 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 |
| 2024 | ACL | 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 |
| 2024 | EACL | 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 |
| 2024 | KDD | 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 |
| 2024 | NAACL | 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 |
| 2024 | RecSys | 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 |
| 2024 | WSDM | Interact with the Explanations: Causal Debiased Explainable Recommendation System. | Xu Liu, Tong Yu, Kaige Xie, Junda Wu, Shuai Li |
| 2023 | AAAI | Few-Shot Composition Learning for Image Retrieval with Prompt Tuning. | Junda Wu, Rui Wang, Handong Zhao, Ruiyi Zhang, Chaochao Lu, Shuai Li, Ricardo Henao |
| 2023 | ACL | 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 |
| 2023 | ISM | Content-aware Progressive Image Compression and Syncing. | Junda Wu, Haoliang Wang, Tong Yu, Gang Wu, Stefano Petrangeli, Handong Zhao, Sungchul Kim, Viswanathan Swaminathan |
| 2023 | KDD | User-Regulation Deconfounded Conversational Recommender System with Bandit Feedback. | Yu Xia, Junda Wu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Shuai Li |
| 2022 | EMNLP | 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 |
| 2022 | SIGIR | Dynamics-Aware Adaptation for Reinforcement Learning Based Cross-Domain Interactive Recommendation. | Junda Wu, Zhihui Xie, Tong Yu, Handong Zhao, Ruiyi Zhang, Shuai Li |
| 2021 | CIKM | Clustering of Conversational Bandits for User Preference Learning and Elicitation. | Junda Wu, Canzhe Zhao, Tong Yu, Jingyang Li, Shuai Li |