| 2026 | AAAI | MIRAGE: Scaling Test-Time Inference with Parallel Graph-Retrieval-Augmented Reasoning Chains. | Kaiwen Wei, Rui Shan, Dongsheng Zou, Jianzhong Yang, Bi Zhao, Junnan Zhu, Jiang Zhong |
| 2026 | ACL | FocalOrder: Focal Preference Optimization for Reading Order Detection. | Fuyuan Liu, Dianyu Yu, He Ren, Nayu Liu, Xiaomian Kang, Delai Qiu, Fa Zhang, Genpeng Zhen, Shengping Liu, Jiaen Liang, Wei Huang, Yining Wang, Junnan Zhu |
| 2026 | ACL | MentalSeek-Dx: Towards Progressive Hypothetico-Deductive Reasoning for Real-world Psychiatric Diagnosis. | Xiao Sun, Yuming Yang, Xinyi Jiang, Yu Tian, Junnan Zhu, Jiang Zhong, Qin Lei, Jingwang Huang, Haoyang Zeng, Xinyu Zhou, Xin Xiao, Kaiwen Wei |
| 2026 | ACL | From Past To Path: Masked History Learning for Next-Item Prediction in Generative Recommendation. | Kaiwen Wei, Kejun He, Xiaomian Kang, Jie Zhang, Ymyang, Li Jin, Zhenyang Li, Jiang Zhong, Richard He Bai, Junnan Zhu |
| 2026 | ACL | GenProve: Learning to Generate Text with Fine-Grained Provenance. | Jingxuan Wei, Xingyue Wang, Yanghaoyu Liao, Jie Dong, Yuchen Liu, Caijun Jia, Bihui Yu, Junnan Zhu |
| 2025 | ACL | SARA: Salience-Aware Reinforced Adaptive Decoding for Large Language Models in Abstractive Summarization. | Nayu Liu, Junnan Zhu, Yiming Ma, Zhicong Lu, Wenlei Xu, Yong Yang, Jiang Zhong, Kaiwen Wei |
| 2025 | ACL | TROVE: A Challenge for Fine-Grained Text Provenance via Source Sentence Tracing and Relationship Classification. | Junnan Zhu, Min Xiao, Yining Wang, Feifei Zhai, Yu Zhou, Chengqing Zong |
| 2025 | EMNLP | ChartMind: A Comprehensive Benchmark for Complex Real-world Multimodal Chart Question Answering. | Jingxuan Wei, Nan Xu, Junnan Zhu, Haoyanni, Gaowei Wu, Qi Chen, Bihui Yu, Lei Wang |
| 2025 | EMNLP | TableEval: A Real-World Benchmark for Complex, Multilingual, and Multi-Structured Table Question Answering. | Junnan Zhu, Jingyi Wang, Bohan Yu, Xiaoyu Wu, Junbo Li, Lei Wang, Nan Xu |
| 2025 | IJCNLP | What Are They Talking About? A Benchmark of Knowledge-Grounded Discussion Summarization. | Weixiao Zhou, Junnan Zhu, Gengyao Li, Xianfu Cheng, Xinnian Liang, Feifei Zhai, Zhoujun Li |
| 2025 | NAACL | Pay More Attention to Images: Numerous Images-Oriented Multimodal Summarization. | Min Xiao, Junnan Zhu, Feifei Zhai, Chengqing Zong, Yu Zhou |
| 2024 | AAAI | DIUSum: Dynamic Image Utilization for Multimodal Summarization. | Min Xiao, Junnan Zhu, Feifei Zhai, Yu Zhou, Chengqing Zong |
| 2024 | ECAI | A Hybrid Approach towards Chinese Spelling and Splitting Error Correction. | Junhong Liang, Junnan Zhu, Feifei Zhai, Nanchang Cheng, Chengqing Zong, Yu Zhou |
| 2023 | ACL | CFSum Coarse-to-Fine Contribution Network for Multimodal Summarization. | Min Xiao, Junnan Zhu, Haitao Lin, Yu Zhou, Chengqing Zong |
| 2023 | EMNLP | Multi-Stage Pre-training Enhanced by ChatGPT for Multi-Scenario Multi-Domain Dialogue Summarization. | Weixiao Zhou, Gengyao Li, Xianfu Cheng, Xinnian Liang, Junnan Zhu, Feifei Zhai, Zhoujun Li |
| 2022 | ACL | Other Roles Matter! Enhancing Role-Oriented Dialogue Summarization via Role Interactions. | Haitao Lin, Junnan Zhu, Lu Xiang, Yu Zhou, Jiajun Zhang, Chengqing Zong |
| 2021 | EMNLP | CSDS: A Fine-Grained Chinese Dataset for Customer Service Dialogue Summarization. | Haitao Lin, Liqun Ma, Junnan Zhu, Lu Xiang, Yu Zhou, Jiajun Zhang, Chengqing Zong |
| 2021 | ICLR | Learning N: M Fine-grained Structured Sparse Neural Networks From Scratch. | Aojun Zhou, Yukun Ma, Junnan Zhu, Jianbo Liu, Zhijie Zhang, Kun Yuan, Wenxiu Sun, Hongsheng Li |
| 2020 | AAAI | Keywords-Guided Abstractive Sentence Summarization. | Haoran Li, Junnan Zhu, Jiajun Zhang, Chengqing Zong, Xiaodong He |
| 2020 | AAAI | Multimodal Summarization with Guidance of Multimodal Reference. | Junnan Zhu, Yu Zhou, Jiajun Zhang, Haoran Li, Chengqing Zong, Changliang Li |
| 2020 | ACL | Attend, Translate and Summarize: An Efficient Method for Neural Cross-Lingual Summarization. | Junnan Zhu, Yu Zhou, Jiajun Zhang, Chengqing Zong |
| 2020 | COLING | Multimodal Sentence Summarization via Multimodal Selective Encoding. | Haoran Li, Junnan Zhu, Jiajun Zhang, Xiaodong He, Chengqing Zong |
| 2020 | COLING | Knowledge Graph Enhanced Neural Machine Translation via Multi-task Learning on Sub-entity Granularity. | Yang Zhao, Lu Xiang, Junnan Zhu, Jiajun Zhang, Yu Zhou, Chengqing Zong |
| 2019 | EMNLP | NCLS: Neural Cross-Lingual Summarization. | Junnan Zhu, Qian Wang, Yining Wang, Yu Zhou, Jiajun Zhang, Shaonan Wang, Chengqing Zong |
| 2018 | COLING | Ensure the Correctness of the Summary: Incorporate Entailment Knowledge into Abstractive Sentence Summarization. | Haoran Li, Junnan Zhu, Jiajun Zhang, Chengqing Zong |
| 2018 | EMNLP | MSMO: Multimodal Summarization with Multimodal Output. | Junnan Zhu, Haoran Li, Tianshang Liu, Yu Zhou, Jiajun Zhang, Chengqing Zong |
| 2018 | IJCAI | Multi-modal Sentence Summarization with Modality Attention and Image Filtering. | Haoran Li, Junnan Zhu, Tianshang Liu, Jiajun Zhang, Chengqing Zong |
| 2017 | EMNLP | Multi-modal Summarization for Asynchronous Collection of Text, Image, Audio and Video. | Haoran Li, Junnan Zhu, Cong Ma, Jiajun Zhang, Chengqing Zong |