| 2025 | CVPR | Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training. | Gen Luo, Xue Yang, Wenhan Dou, Zhaokai Wang, Jiawen Liu, Jifeng Dai, Yu Qiao, Xizhou Zhu |
| 2025 | CVPR | HoVLE: Unleashing the Power of Monolithic Vision-Language Models with Holistic Vision-Language Embedding. | Chenxin Tao, Shiqian Su, Xizhou Zhu, Chenyu Zhang, Zhe Chen, Jiawen Liu, Wenhai Wang, Lewei Lu, Gao Huang, Yu Qiao, Jifeng Dai |
| 2025 | ICML | MuLan: Adapting Multilingual Diffusion Models for Hundreds of Languages with Negligible Cost. | Sen Xing, Muyan Zhong, Zeqiang Lai, Liangchen Li, Jiawen Liu, Yaohui Wang, Jifeng Dai, Wenhai Wang |
| 2025 | IJCNN | Using Domain Adapter and Prompt Learner for Few-Shot Teaching Action Recognition in videos. | Feixiang Ge, Xinlei Li, Yan Rong, Jiawen Liu, Linqiang Hu |
| 2024 | CHI | PeerGPT: Probing the Roles of LLM-based Peer Agents as Team Moderators and Participants in Children's Collaborative Learning. | Jiawen Liu, Yuanyuan Yao, Pengcheng An, Qi Wang |
| 2024 | VTC | Channel Tracking with Minimal Overhead for Wideband MIMO Mobile Communication Systems. | Siting Lv, Xiaohui Li, Xingbo Chen, Jiawen Liu, Mingli Shi |
| 2023 | ACL | PersLEARN: Research Training through the Lens of Perspective Cultivation. | Yu-Zhe Shi, Shiqian Li, Xinyi Niu, Qiao Xu, Jiawen Liu, Yifan Xu, Shiyu Gu, Bingru He, Xinyang Li, Xinyu Zhao, Zijian Zhao, Yidong Lyu, Zhen Li, Sijia Liu, Lin Qiu, Jinhao Ji, Lecheng Ruan, Yuxi Ma, Wenjuan Han, Yixin Zhu |
| 2023 | DASC | Mobile Technology as a Catalyst for Enhancing EFL Speaking Skills in Social Language Learning Contexts. | Rustam Shadiev, Mirzaali Fayziev, Gulmira Abildinova, Jiawen Liu, Fahriye Altinay, Roza Zhussupova, Nurassyl Kerimbayev, Aynur Jumadillaeva, Elena Gaevskaia, Narzikul Shadiev |
| 2023 | HCI | Product Appearance Design Guide for Innovative Products Based on Kansei Engineering. | Jiawen Liu, Zhijuan Zhu |
| 2023 | ICONIP | DAformer: Transformer with Domain Adversarial Adaptation for EEG-Based Emotion Recognition with Live-Oil Paintings. | Zhong-Wei Jin, Jiawen Liu, Wei-Long Zheng, Bao-Liang Lu |
| 2023 | ICONIP | Naturalistic Emotion Recognition Using EEG and Eye Movements. | Jian-Ming Zhang, Jiawen Liu, Ziyi Li, Tian-Fang Ma, Yiting Wang, Wei-Long Zheng, Bao-Liang Lu |
| 2023 | MMSP | Bridge the Gap between Visual Difference Prediction Model and Just Noticeable Difference Subjective Datasets. | Jiawen Liu, Jingwen Zhu, Patrick Le Callet |
| 2021 | ASPLOS | Fast, flexible, and comprehensive bug detection for persistent memory programs. | Bang Di, Jiawen Liu, Hao Chen, Dong Li |
| 2021 | EuroSys | Tahoe: tree structure-aware high performance inference engine for decision tree ensemble on GPU. | Zhen Xie, Wenqian Dong, Jiawen Liu, Hang Liu, Dong Li |
| 2021 | ICS | Enabling energy-efficient DNN training on hybrid GPU-FPGA accelerators. | Xin He, Jiawen Liu, Zhen Xie, Hao Chen, Guoyang Chen, Weifeng Zhang, Dong Li |
| 2021 | ICS | Athena: high-performance sparse tensor contraction sequence on heterogeneous memory. | Jiawen Liu, Dong Li, Roberto Gioiosa, Jiajia Li |
| 2021 | PPoPP | Sparta: high-performance, element-wise sparse tensor contraction on heterogeneous memory. | Jiawen Liu, Jie Ren, Roberto Gioiosa, Dong Li, Jiajia Li |
| 2019 | ICPADS | Performance Analysis and Characterization of Training Deep Learning Models on Mobile Device. | Jie Liu, Jiawen Liu, Wan Du, Dong Li |
| 2018 | MICRO | Processing-in-Memory for Energy-Efficient Neural Network Training: A Heterogeneous Approach. | Jiawen Liu, Hengyu Zhao, Matheus A. Ogleari, Dong Li, Jishen Zhao |