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Shujian  Zhang
Shujian Zhang
Verified email at utexas.edu
Title
Cited by
Cited by
Year
A prototype-oriented framework for unsupervised domain adaptation
K Tanwisuth, X Fan, H Zheng, S Zhang, H Zhang, B Chen, M Zhou
Advances in Neural Information Processing Systems 34, 17194-17208, 2021
832021
Fusedream: Training-free text-to-image generation with improved clip+ gan space optimization
X Liu, C Gong, L Wu, S Zhang, H Su, Q Liu
arXiv preprint arXiv:2112.01573, 2021
672021
Bayesian attention modules
X Fan, S Zhang, B Chen, M Zhou
Advances in Neural Information Processing Systems 33, 16362-16376, 2020
572020
AutoML-GPT: Automatic Machine Learning with GPT
S Zhang, C Gong, L Wu, X Liu, M Zhou
arXiv preprint arXiv:2305.02499, 2023
502023
Knowing more about questions can help: Improving calibration in question answering
S Zhang, C Gong, E Choi
arXiv preprint arXiv:2106.01494, 2021
432021
Learning from uneven training data: Unlabeled, single label, and multiple labels
S Zhang, C Gong, E Choi
arXiv e-prints, arXiv: 2109.04408, 2021
34*2021
Contextual dropout: An efficient sample-dependent dropout module
X Fan, S Zhang, K Tanwisuth, X Qian, M Zhou
arXiv preprint arXiv:2103.04181, 2021
332021
ALLSH: Active Learning Guided by Local Sensitivity and Hardness
S Zhang, C Gong, X Liu, P He, W Chen, M Zhou
arXiv preprint arXiv:2205.04980, 2022
312022
Bayesian attention belief networks
S Zhang, X Fan, B Chen, M Zhou
International Conference on Machine Learning, 12413-12426, 2021
262021
POUF: Prompt-oriented unsupervised fine-tuning for large pre-trained models
K Tanwisuth, S Zhang, H Zheng, P He, M Zhou
International Conference on Machine Learning, 33816-33832, 2023
222023
Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-Oriented Dialogue Systems
Y Feng, S Yang, S Zhang, J Zhang, C Xiong, M Zhou, H Wang
arXiv preprint arXiv:2302.10342, 2023
192023
A unified framework for alternating offline model training and policy learning
S Yang, S Zhang, Y Feng, M Zhou
Advances in Neural Information Processing Systems 35, 17216-17232, 2022
102022
Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models
S Zhang, C Gong, X Liu
arXiv preprint arXiv:2211.00915, 2022
102022
Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning
S Yang, Y Feng, S Zhang, M Zhou
International Conference on Machine Learning, 24980-25006, 2022
102022
Alignment attention by matching key and query distributions
S Zhang, X Fan, H Zheng, K Tanwisuth, M Zhou
Advances in Neural Information Processing Systems 34, 13444-13457, 2021
102021
FlowGrad: Controlling the Output of Generative ODEs with Gradients
X Liu, L Wu, S Zhang, C Gong, W Ping, Q Liu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
92023
Capturing label distribution: A case study in nli
S Zhang, C Gong, E Choi
arXiv preprint arXiv:2102.06859, 2021
82021
Preference-grounded token-level guidance for language model fine-tuning
S Yang, S Zhang, C Xia, Y Feng, C Xiong, M Zhou
Advances in Neural Information Processing Systems 36, 2024
52024
Sliced Wasserstein with random-path projecting directions
K Nguyen, S Zhang, T Le, N Ho
arXiv preprint arXiv:2401.15889, 2024
32024
A prototype-oriented clustering for domain shift with source privacy
K Tanwisuth, S Zhang, P He, M Zhou
arXiv preprint arXiv:2302.03807, 2023
22023
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