Tibetan Syllable-Based Functional Chunk Boundary Identification. - Shumin Shi; Yujian Liu; Tianhang Wang; Congjun Long; Heyan Huang (CCL, 2017)

Spectrum Reconstruction of the Light-Field Multimodal Imager. - Lijuan Su; Yujian Liu; Yan Yuan (IEEE Access, 2019)

Audrey: A Personalized Open-Domain Conversational Bot. - Chung Hoon Hong; Yuan Liang; Sagnik Sinha Roy; Arushi Jain; Vihang Agarwal; Ryan Draves; Zhizhuo Zhou; William Chen; Yujian Liu; Martha Miracky; Lily Ge; Nikola Banovic 001; et al. (CoRR, 2020)

Placental Super Micro-vessels Segmentation Based on ResNeXt with Convolutional Block Attention and U-Net. - Minsi Chen; Cheng Zhao 003; Xiaoxian Tian; Yujian Liu; Tianfu Wang 001; Baiying Lei (EMBC, 2021)

CD Loss: A Class-Center Based Distribution Loss for Discriminative Feature Learning in Medical Image Classification. - Yanhong Zhou; Jie Du 001; Yujian Liu; Yali Qiu; Tianfu Wang 001 (ICIG (2), 2021)

POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection. - Yujian Liu; Xinliang Frederick Zhang; David Wegsman; Nicholas Beauchamp; Lu Wang 008 (NAACL-HLT (Findings), 2022)

Scale-adaptive super-feature based MetricUNet for brain tumor segmentation. - Yujian Liu; Jie Du 001; Chi-Man Vong; Guanghui Yue 001; Juan Yu; Yuli Wang; Baiying Lei; Tianfu Wang 001 (Biomed. Signal Process. Control., 2022)

Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models. - Qiucheng Wu; Yujian Liu; Handong Zhao; Ajinkya Kale; Trung Bui; Tong Yu 001; Zhe Lin 001; Yang Zhang 001; Shiyu Chang (CVPR, 2023)

All Things Considered: Detecting Partisan Events from News Media with Cross-Article Comparison. - Yujian Liu; Xinliang Frederick Zhang; Kaijian Zou; Ruihong Huang; Nicholas Beauchamp; Lu Wang 008 (EMNLP, 2023)

Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis. - Qiucheng Wu; Yujian Liu; Handong Zhao; Trung Bui; Zhe Lin 001; Yang Zhang 001; Shiyu Chang (ICCV, 2023)

Improving Mental Health Classifier Generalization with Pre-diagnosis Data. - Yujian Liu; Laura Biester; Rada Mihalcea (ICWSM, 2023)

Correcting Diffusion Generation Through Resampling. - Yujian Liu; Yang Zhang 001; Tommi S. Jaakkola; Shiyu Chang (CVPR, 2024)

Revisiting Who's Harry Potter: Towards Targeted Unlearning from a Causal Intervention Perspective. - Yujian Liu; Yang Zhang 001; Tommi S. Jaakkola; Shiyu Chang (EMNLP, 2024)

Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling. - Bairu Hou; Yujian Liu; Kaizhi Qian; Jacob Andreas; Shiyu Chang; Yang Zhang 001 (ICML, 2024)

Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference. - Jiabao Ji; Yujian Liu; Yang Zhang 001; Gaowen Liu; Ramana Kompella; Sijia Liu 001; Shiyu Chang (NeurIPS, 2024)

Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion. - Yujian Liu; Jiabao Ji; Tong Yu 001; Ryan A. Rossi; Sungchul Kim; Handong Zhao; Ritwik Sinha; Yang Zhang 001; Shiyu Chang (CoRR, 2024)

Adaptive Threshold Learning in Frequency Domain for Classification of Breast Cancer Histopathological Images. - Yujian Liu; Xiaozhang Liu; Yuan Qi (Int. J. Intell. Syst., 2024)

EK-Means: Towards Making Ensemble K-Means Work for Image-Based Data Analysis Without Prior Knowledge of K. - Danping Niu; Yuan Ping; Yujian Liu; Fanxi Wei; Wenhong Wu (ICISSP (2), 2025)

Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning. - Yujian Liu; Shiyu Chang; Tommi S. Jaakkola; Yang Zhang 001 (ICLR, 2025)

Illuminating Legacy: Tracking the Utilization Pattern of Winter Olympic Venues via Nighttime Light Data. - Siyi Yu; Xizhi Zhao; Jinlong Ma; Yujian Liu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

SyncAnimation: A Real-Time End-to-End Framework for Audio-Driven Human Pose and Talking Head Animation. - Yujian Liu; Shidang Xu; Jing Guo; Dingbin Wang; Zairan Wang; Xianfeng Tan; Xiaoli Liu (CoRR, 2025)

Nonparametric Bayesian modeling on infinite mixture Student t copulas. - Yujian Liu; Dejun Xie; Yazhe Li; Siyi Yu (Commun. Stat. Simul. Comput., 2025)

ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning. - Bairu Hou; Yang Zhang 001; Jiabao Ji; Yujian Liu; Kaizhi Qian; Jacob Andreas; Shiyu Chang (CoRR, 2025)

Defending LLM Watermarking Against Spoofing Attacks with Contrastive Representation Learning. - Li An; Yujian Liu; Yepeng Liu; Yang Zhang; Yuheng Bu; Shiyu Chang (CoRR, 2025)

Copula hidden Markov model with unknown number of states. - Yujian Liu; Dejun Xie; Siyi Yu (Comput. Stat., 2025)

MoGaFace: Momentum-Guided and Texture-Aware Gaussian Avatars for Consistent Facial Geometry. - Yujian Liu; Linlang Cao; Chuang Chen; Fanyu Geng; Dongxu Shen; Peng Cao; Shidang Xu; Xiaoli Liu (CoRR, 2025)

Minimal High-Resolution Patches Are Sufficient for Whole Slide Image Representation via Cascaded Dual-Scale Reconstruction. - Yujian Liu; Yuechuan Lin; Dongxu Shen; Haoran Li; Yutong Wang; Xiaoli Liu; Shidang Xu (CoRR, 2025)