| 2026 | ACL | E-ViC: Reasoning Beyond Text via Embodied Visual Chain for Spatial Intelligence. | Junbo Qi, Yi Zhang, Hanchu Ni, Che Liu, Zhimin Yao, Ruilin Yang, Xiancong Ren, Liangjian Wen, Wei Ge, Yuya Ieiri, Osamu Yoshie, Yong Dai, Xiaozhu Ju |
| 2026 | ACL | Does RLVR Extend Reasoning Boundaries? Investigating Capability Expansion in Vision-Language Models. | Minghe Shen, Zhuo Zhi, Chonghan Liu, Shuo Xing, Zhengzhong Tu, Che Liu |
| 2026 | ACL | LoopCoder: Scaling Code Intelligence via Looped Language Models. | Jian Yang, Wei Zhang, Shuyue Guo, Yizhi LI, Linzheng Chai, Zhengmao Ye, Shukai Liu, Yuyang Song, Jiajun Wu, Che Liu, Tianyu Zheng, Siwei Wu, Leo L, Xudong Ma, Chuan Hao, Ran Tao, Yan Xing, Jianzhou Wang, Mingjie Tang, Aishan Liu, Zhoujun Li, Xianglong Liu, Weifeng Lv, Bryan Dai |
| 2026 | WACV | Knowledge to Sight: Reasoning over Visual Attributes via Knowledge Decomposition for Abnormality Grounding. | Jun Li, Che Liu, Wenjia Bai, Mingxuan Liu, Rossella Arcucci, Cosmin I. Bercea, Julia A. Schnabel |
| 2025 | ACL | Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data? | Che Liu, Zhongwei Wan, Haozhe Wang, Yinda Chen, Talha Qaiser, Chen Jin, Nikolay Burlutskiy, Fariba Yousefi, Rossella Arcucci |
| 2025 | ACL | Argus: Benchmarking and Enhancing Vision-Language Models for 3D Radiology Report Generation. | Che Liu, Zhongwei Wan, Yuqi Wang, Hui Shen, Haozhe Wang, Kangyu Zheng, Mi Zhang, Rossella Arcucci |
| 2025 | ACL | MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation. | Zhongwei Wan, Che Liu, Xin Wang, Chaofan Tao, Hui Shen, Jing Xiong, Rossella Arcucci, Huaxiu Yao, Mi Zhang |
| 2025 | COLING | MLLM-I2W: Harnessing Multimodal Large Language Model for Zero-Shot Composed Image Retrieval. | Tong Bao, Che Liu, Derong Xu, Zhi Zheng, Tong Xu |
| 2025 | EMNLP | SuPreME: A Supervised Pre-training Framework for Multimodal ECG Representation Learning. | Mingsheng Cai, Jiuming Jiang, Wenhao Huang, Che Liu, Rossella Arcucci |
| 2025 | EMNLP | Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs. | Che Liu, Cheng Ouyang, Zhongwei Wan, Haozhe Wang, Wenjia Bai, Rossella Arcucci |
| 2025 | ICASSP | BP-GPT: Auditory Neural Decoding Using fMRI-prompted LLM. | Xiaoyu Chen, Changde Du, Che Liu, Yizhe Wang, Huiguang He |
| 2025 | ICCV | GTGM: Generative Text-Guided 3D Vision-Language Pretraining for Medical Image Segmentation. | Yinda Chen, Che Liu, Wei Huang, Xiaoyu Liu, Haoyuan Shi, Sibo Cheng, Rossella Arcucci, Zhiwei Xiong |
| 2025 | ICCV | T3D: Advancing 3D Medical Vision-Language Pre-Training by Learning Multi-View Visual Consistency. | Che Liu, Cheng Ouyang, Yinda Chen, Csar Quilodrn Casas, Lei Ma, Jie Fu, Yike Guo, Anand Shah, Wenjia Bai, Rossella Arcucci |
| 2025 | ICML | MaskTwins: Dual-form Complementary Masking for Domain-Adaptive Image Segmentation. | Jiawen Wang, Yinda Chen, Xiaoyu Liu, Che Liu, Dong Liu, Jianqing Gao, Zhiwei Xiong |
| 2025 | MICCAI | MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning. | Jiazhen Pan, Che Liu, Junde Wu, Fenglin Liu, Jiayuan Zhu, Hongwei Bran Li, Chen Chen, Cheng Ouyang, Daniel Rueckert |
| 2025 | NAACL | MEDA: Dynamic KV Cache Allocation for Efficient Multimodal Long-Context Inference. | Zhongwei Wan, Hui Shen, Xin Wang, Che Liu, Zheda Mai, Mi Zhang |
| 2024 | ACL | Parrot: Enhancing Multi-Turn Instruction Following for Large Language Models. | Yuchong Sun, Che Liu, Kun Zhou, Jinwen Huang, Ruihua Song, Xin Zhao, Fuzheng Zhang, Di Zhang, Kun Gai |
| 2024 | CIKM | UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models. | Qi Liu, Yongyi He, Tong Xu, Defu Lian, Che Liu, Zhi Zheng, Enhong Chen |
| 2024 | EMNLP | Inductive-Deductive Strategy Reuse for Multi-Turn Instructional Dialogues. | Jiao Ou, Jiayu Wu, Che Liu, Fuzheng Zhang, Di Zhang, Kun Gai |
| 2024 | EMNLP | EvoR: Evolving Retrieval for Code Generation. | Hongjin Su, Shuyang Jiang, Yuhang Lai, Haoyuan Wu, Boao Shi, Che Liu, Qian Liu, Tao Yu |
| 2024 | EMNLP | LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context Inference. | Zhongwei Wan, Ziang Wu, Che Liu, Jinfa Huang, Zhihong Zhu, Peng Jin, Longyue Wang, Li Yuan |
| 2024 | ICASSP | ETP: Learning Transferable ECG Representations via ECG-Text Pre-Training. | Che Liu, Zhongwei Wan, Sibo Cheng, Mi Zhang, Rossella Arcucci |
| 2024 | ICASSP | Freeze the Backbones: a Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-Training. | Jiuming Qin, Che Liu, Sibo Cheng, Yike Guo, Rossella Arcucci |
| 2024 | ICML | Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement. | Che Liu, Zhongwei Wan, Cheng Ouyang, Anand Shah, Wenjia Bai, Rossella Arcucci |
| 2024 | MICCAI | BIMCV-R: A Landmark Dataset for 3D CT Text-Image Retrieval. | Yinda Chen, Che Liu, Xiaoyu Liu, Rossella Arcucci, Zhiwei Xiong |
| 2024 | NAACL | DialogBench: Evaluating LLMs as Human-like Dialogue Systems. | Jiao Ou, Junda Lu, Che Liu, Yihong Tang, Fuzheng Zhang, Di Zhang, Kun Gai |
| 2023 | ICONIP | RoBrain: Towards Robust Brain-to-Image Reconstruction via Cross-Domain Contrastive Learning. | Che Liu, Changde Du, Huiguang He |
| 2023 | MICCAI | M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization. | Che Liu, Sibo Cheng, Chen Chen, Mengyun Qiao, Weitong Zhang, Anand Shah, Wenjia Bai, Rossella Arcucci |
| 2022 | EMNLP | Dial2vec: Self-Guided Contrastive Learning of Unsupervised Dialogue Embeddings. | Che Liu, Rui Wang, Junfeng Jiang, Yongbin Li, Fei Huang |
| 2021 | EMNLP | DialogueCSE: Dialogue-based Contrastive Learning of Sentence Embeddings. | Che Liu, Rui Wang, Jinghua Liu, Jian Sun, Fei Huang, Luo Si |
| 2021 | ICRA | Model Predictive Control for Cooperative Hunting in Obstacle Rich and Dynamic Environments. | Jacky Liao, Che Liu, Hugh H. T. Liu |
| 2020 | KDD | Towards Building an Intelligent Chatbot for Customer Service: Learning to Respond at the Appropriate Time. | Che Liu, Junfeng Jiang, Chao Xiong, Yi Yang, Jieping Ye |
| 2020 | SENSYS | Work in Progress: Intelligent Metasurface Holograms. | Che Liu, Qian Ma, Lianlin Li, Tie Jun Cui |
| 2011 | TACAS | S-TaLiRo: A Tool for Temporal Logic Falsification for Hybrid Systems. | Yashwanth Annpureddy, Che Liu, Georgios Fainekos, Sriram Sankaranarayanan |