StrucTexT: Structured Text Understanding with Multi-Modal Transformers. - Yulin Li; Yuxi Qian; Yuechen Yu; Xiameng Qin; Chengquan Zhang; Yan Liu; Kun Yao; Junyu Han; Jingtuo Liu; Errui Ding (ACM Multimedia, 2021)

StrucTexT: Structured Text Understanding with Multi-Modal Transformers. - Yulin Li; Yuxi Qian; Yuchen Yu; Xiameng Qin; Chengquan Zhang; Yan Liu; Kun Yao; Junyu Han; Jingtuo Liu; Errui Ding (CoRR, 2021)

Co-VQA : Answering by Interactive Sub Question Sequence. - Ruonan Wang; Yuxi Qian; Fangxiang Feng; Xiaojie Wang 006; Huixing Jiang (ACL (Findings), 2022)

Question-Driven Graph Fusion Network for Visual Question Answering. - Yuxi Qian; Yuncong Hu; Ruonan Wang; Fangxiang Feng; Xiaojie Wang 006 (ICME, 2022)

Prompts Can Play Lottery Tickets Well: Achieving Lifelong Information Extraction via Lottery Prompt Tuning. - Zujie Liang; Feng Wei; Yin Jie; Yuxi Qian; Zhenghong Hao; Bing Han (ACL (1), 2023)

Hierarchical Prompt Tuning for Few-Shot Multi-Task Learning. - Jingping Liu; Tao Chen 019; Zujie Liang; Haiyun Jiang; Yanghua Xiao; Feng Wei; Yuxi Qian; Zhenghong Hao; Bing Han 017 (CIKM, 2023)

GPT-Driver: Learning to Drive with GPT. - Jiageng Mao; Yuxi Qian; Hang Zhao; Yue Wang (CoRR, 2023)

A Language Agent for Autonomous Driving. - Jiageng Mao; Junjie Ye; Yuxi Qian; Marco Pavone 001; Yue Wang 041 (CoRR, 2023)

SEGMENT+: Long Text Processing with Short-Context Language Models. - Wei Shi; Shuang Li; Kerun Yu; Jinglei Chen; Zujie Liang; Xinhui Wu; Yuxi Qian; Feng Wei; Bo Zheng; Jiaqing Liang; Jiangjie Chen; Yanghua Xiao (EMNLP, 2024)

Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms. - Zhihai Wang; Zijie Geng; Zhaojie Tu; Jie Wang 005; Yuxi Qian; Zhexuan Xu; Ziyan Liu; Siyuan Xu; Zhentao Tang; Shixiong Kai; Mingxuan Yuan; Jianye Hao; et al. (CoRR, 2024)

I-MCTS: Enhancing Agentic AutoML via Introspective Monte Carlo Tree Search. - Zujie Liang; Feng Wei; Wujiang Xu; Lin Chen; Yuxi Qian; Xinhui Wu (CoRR, 2025)

RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning. - Haoran Geng; Feishi Wang; Songlin Wei; Yuyang Li; Bangjun Wang; Boshi An; Charlie Tianyue Cheng; Haozhe Lou; Peihao Li; Yen-Jen Wang; Yutong Liang; Dylan Goetting; et al. (CoRR, 2025)