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ORCIDYujian Liu
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2020 – today
- 2025
[j6]Yujian Liu
, Dejun Xie, Yazhe Li, Siyi Yu:
Nonparametric Bayesian modeling on infinite mixture Student t copulas. Commun. Stat. Simul. Comput. 54(3): 633-651 (2025)- [j5]Yujian Liu, Dejun Xie, Siyi Yu:
Copula hidden Markov model with unknown number of states. Comput. Stat. 40(5): 2583-2610 (2025) - [j4]Siyi Yu, Xizhi Zhao, Jinlong Ma, Yujian Liu:
Illuminating Legacy: Tracking the Utilization Pattern of Winter Olympic Venues via Nighttime Light Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 18: 11155-11168 (2025) - [c15]Danping Niu, Yuan Ping, Yujian Liu, Fanxi Wei, Wenhong Wu:
EK-Means: Towards Making Ensemble K-Means Work for Image-Based Data Analysis Without Prior Knowledge of K. ICISSP (2) 2025: 575-584 - [c14]Yujian Liu, Shiyu Chang, Tommi S. Jaakkola, Yang Zhang:
Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning. ICLR 2025 - [c13]Yujian Liu, Shidang Xu, Jing Guo, Dingbin Wang, Zairan Wang, Xianfeng Tan, Xiaoli Liu:
SyncAnimation: A Real-Time End-to-End Framework for Audio-Driven Human Pose and Talking Head Animation. IJCAI 2025: 1657-1665 - [i19]Yujian Liu, Shidang Xu, Jing Guo, Dingbin Wang, Zairan Wang, Xianfeng Tan, Xiaoli Liu:
SyncAnimation: A Real-Time End-to-End Framework for Audio-Driven Human Pose and Talking Head Animation. CoRR abs/2501.14646 (2025) - [i18]Bairu Hou, Yang Zhang, Jiabao Ji, Yujian Liu, Kaizhi Qian, Jacob Andreas, Shiyu Chang:
ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning. CoRR abs/2504.01296 (2025) - [i17]Li An, Yujian Liu, Yepeng Liu, Yang Zhang, Yuheng Bu, Shiyu Chang:
Defending LLM Watermarking Against Spoofing Attacks with Contrastive Representation Learning. CoRR abs/2504.06575 (2025) - [i16]Yujian Liu, Linlang Cao, Chuang Chen, Fanyu Geng, Dongxu Shen, Peng Cao, Shidang Xu, Xiaoli Liu:
MoGaFace: Momentum-Guided and Texture-Aware Gaussian Avatars for Consistent Facial Geometry. CoRR abs/2508.01218 (2025) - [i15]Yujian Liu, Yuechuan Lin, Dongxu Shen, Haoran Li, Yutong Wang, Xiaoli Liu, Shidang Xu:
Minimal High-Resolution Patches Are Sufficient for Whole Slide Image Representation via Cascaded Dual-Scale Reconstruction. CoRR abs/2508.01641 (2025) - [i14]Li An, Yujian Liu, Yepeng Liu, Yuheng Bu, Yang Zhang, Shiyu Chang:
A Reinforcement Learning Framework for Robust and Secure LLM Watermarking. CoRR abs/2510.21053 (2025) - [i13]Yujian Liu, Jiabao Ji, Yang Zhang, Wenbo Guo, Tommi S. Jaakkola, Shiyu Chang:
HarnessLLM: Automatic Testing Harness Generation via Reinforcement Learning. CoRR abs/2511.01104 (2025) - [i12]Yujian Liu, Ze Wang, Hao Chen, Ximeng Sun, Xiaodong Yu, Jialian Wu, Jiang Liu, Emad Barsoum, Zicheng Liu, Shiyu Chang:
Learning from Online Videos at Inference Time for Computer-Use Agents. CoRR abs/2511.04137 (2025) - 2024
- [j3]Yujian Liu, Xiaozhang Liu, Yuan Qi:
Adaptive Threshold Learning in Frequency Domain for Classification of Breast Cancer Histopathological Images. Int. J. Intell. Syst. 2024: 1-13 (2024) - [c12]Yujian Liu, Yang Zhang, Tommi S. Jaakkola, Shiyu Chang:
Correcting Diffusion Generation Through Resampling. CVPR 2024: 8713-8723 - [c11]Yujian Liu, Yang Zhang, Tommi S. Jaakkola, Shiyu Chang:
Revisiting Who's Harry Potter: Towards Targeted Unlearning from a Causal Intervention Perspective. EMNLP 2024: 8708-8731 - [c10]Bairu Hou, Yujian Liu, Kaizhi Qian, Jacob Andreas, Shiyu Chang, Yang Zhang:
Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling. ICML 2024 - [c9]Jiabao Ji, Yujian Liu, Yang Zhang, Gaowen Liu, Ramana Kompella, Sijia Liu, Shiyu Chang:
Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference. NeurIPS 2024 - [i11]Yujian Liu, Jiabao Ji, Tong Yu, Ryan A. Rossi, Sungchul Kim, Handong Zhao, Ritwik Sinha, Yang Zhang, Shiyu Chang:
Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion. CoRR abs/2401.15555 (2024) - [i10]Jiabao Ji, Yujian Liu, Yang Zhang, Gaowen Liu, Ramana Rao Kompella, Sijia Liu, Shiyu Chang:
Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference. CoRR abs/2406.08607 (2024) - [i9]Yujian Liu, Yang Zhang, Tommi S. Jaakkola, Shiyu Chang:
Revisiting Who's Harry Potter: Towards Targeted Unlearning from a Causal Intervention Perspective. CoRR abs/2407.16997 (2024) - [i8]Yujian Liu, Shiyu Chang, Tommi S. Jaakkola, Yang Zhang:
Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning. CoRR abs/2410.19290 (2024) - 2023
- [c8]Qiucheng Wu, Yujian Liu, Handong Zhao, Ajinkya Kale, Trung Bui, Tong Yu, Zhe Lin, Yang Zhang, Shiyu Chang:
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models. CVPR 2023: 1900-1910 - [c7]Yujian Liu, Xinliang Frederick Zhang, Kaijian Zou, Ruihong Huang, Nicholas Beauchamp, Lu Wang:
All Things Considered: Detecting Partisan Events from News Media with Cross-Article Comparison. EMNLP 2023: 15472-15488 - [c6]Qiucheng Wu, Yujian Liu, Handong Zhao, Trung Bui, Zhe Lin, Yang Zhang, Shiyu Chang:
Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis. ICCV 2023: 7732-7742 - [c5]Yujian Liu, Laura Biester, Rada Mihalcea:
Improving Mental Health Classifier Generalization with Pre-diagnosis Data. ICWSM 2023: 566-577 - [i7]Qiucheng Wu, Yujian Liu, Handong Zhao, Trung Bui, Zhe Lin, Yang Zhang, Shiyu Chang:
Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis. CoRR abs/2304.03869 (2023) - [i6]Yujian Liu, Xinliang Frederick Zhang, Kaijian Zou, Ruihong Huang, Nick Beauchamp, Lu Wang:
All Things Considered: Detecting Partisan Events from News Media with Cross-Article Comparison. CoRR abs/2310.18827 (2023) - [i5]Bairu Hou, Yujian Liu, Kaizhi Qian, Jacob Andreas, Shiyu Chang, Yang Zhang:
Decomposing Uncertainty for Large Language Models through Input Clarification Ensembling. CoRR abs/2311.08718 (2023) - [i4]Yujian Liu, Yang Zhang, Tommi S. Jaakkola, Shiyu Chang:
Correcting Diffusion Generation through Resampling. CoRR abs/2312.06038 (2023) - 2022
- [j2]Yujian Liu, Jie Du, Chi-Man Vong, Guanghui Yue, Juan Yu, Yuli Wang, Baiying Lei, Tianfu Wang:
Scale-adaptive super-feature based MetricUNet for brain tumor segmentation. Biomed. Signal Process. Control. 73: 103442 (2022) - [c4]Yujian Liu, Xinliang Frederick Zhang, David Wegsman, Nicholas Beauchamp, Lu Wang:
POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection. NAACL-HLT (Findings) 2022: 1354-1374 - [i3]Yujian Liu, Xinliang Frederick Zhang, David Wegsman, Nick Beauchamp, Lu Wang:
POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection. CoRR abs/2205.00619 (2022) - [i2]Qiucheng Wu, Yujian Liu, Handong Zhao, Ajinkya Kale, Trung Bui, Tong Yu, Zhe Lin, Yang Zhang, Shiyu Chang:
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models. CoRR abs/2212.08698 (2022) - 2021
- [c3]Minsi Chen, Cheng Zhao, Xiaoxian Tian, Yujian Liu, Tianfu Wang, Baiying Lei:
Placental Super Micro-vessels Segmentation Based on ResNeXt with Convolutional Block Attention and U-Net. EMBC 2021: 4015-4018 - [c2]Yanhong Zhou, Jie Du, Yujian Liu, Yali Qiu, Tianfu Wang:
CD Loss: A Class-Center Based Distribution Loss for Discriminative Feature Learning in Medical Image Classification. ICIG (2) 2021: 630-640 - 2020
- [i1]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, David Jurgens:
Audrey: A Personalized Open-Domain Conversational Bot. CoRR abs/2011.05910 (2020)
2010 – 2019
- 2019
- [j1]Lijuan Su, Yujian Liu, Yan Yuan:
Spectrum Reconstruction of the Light-Field Multimodal Imager. IEEE Access 7: 9688-9696 (2019) - 2017
- [c1]Shumin Shi, Yujian Liu, Tianhang Wang, Congjun Long, Heyan Huang:
Tibetan Syllable-Based Functional Chunk Boundary Identification. CCL 2017: 439-448
Coauthor Index
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