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Hanze Dong
Hanze Dong
Other names董 瀚泽
Salesforce Research
Verified email at salesforce.com - Homepage
Title
Cited by
Cited by
Year
Raft: Reward ranked finetuning for generative foundation model alignment
H Dong, W Xiong, D Goyal, Y Zhang, W Chow, R Pan, S Diao, J Zhang, ...
Transactions on Machine Learning Research (TMLR), 2023
1632023
Weakly supervised disentangled generative causal representation learning
X Shen, F Liu, H Dong, Q Lian, Z Chen, T Zhang
Journal of Machine Learning Research 23 (241), 1-55, 2022
98*2022
Local augmentation for graph neural networks
S Liu, R Ying, H Dong, L Li, T Xu, Y Rong, P Zhao, J Huang, D Wu
International conference on machine learning, 14054-14072, 2022
972022
Bayesian invariant risk minimization
Y Lin, H Dong, H Wang, T Zhang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
582022
DetGPT: Detect What You Need via Reasoning
R Pi, J Gao, S Diao, R Pan, H Dong, J Zhang, L Yao, J Han, H Xu, ...
Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023
55*2023
Lmflow: An extensible toolkit for finetuning and inference of large foundation models
S Diao, R Pan, H Dong, KS Shum, J Zhang, W Xiong, T Zhang
Annual Conference of the North American Chapter of the Association for …, 2024
402024
Gibbs sampling from human feedback: A provable kl-constrained framework for rlhf
W Xiong, H Dong, C Ye, Z Wang, H Zhong, H Ji, N Jiang, T Zhang
arXiv preprint arXiv:2312.11456, 2023
32*2023
Mitigating the alignment tax of RLHF
Y Lin, H Lin, W Xiong, S Diao, J Liu, J Zhang, R Pan, H Wang, W Hu, ...
arXiv preprint arXiv:2309.06256, 2023, 2023
29*2023
Mathematical models of overparameterized neural networks
C Fang, H Dong, T Zhang
Proceedings of the IEEE 109 (5), 683-703, 2021
292021
Higher-order weighted graph convolutional networks
S Liu, L Chen, H Dong, Z Wang, D Wu, Z Huang
arXiv preprint arXiv:1911.04129, 2019
252019
Vocabulary-informed Zero-shot and Open-set Learning
Y Fu, X Wang, H Dong, YG Jiang, M Wang, X Xue, L Sigal
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
232019
Over parameterized two-level neural networks can learn near optimal feature representations
C Fang, H Dong, T Zhang
arXiv preprint arXiv:1910.11508, 2019
162019
Learning the Compositional Domains for Generalized Zero-shot Learning
H Dong, Y Fu, SJ Hwang, L Sigal, X Xue
Computer Vision and Image Understanding, 103454, 2022
13*2022
MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance
R Pi, T Han, Y Xie, R Pan, Q Lian, H Dong, J Zhang, T Zhang
arXiv preprint arXiv:2401.02906, 2024
112024
Reverse Diffusion Monte Carlo
X Huang, H Dong, HAO Yifan, Y Ma, T Zhang
The Twelfth International Conference on Learning Representations, 2024
11*2024
Particle-based variational inference with preconditioned functional gradient flow
H Dong, X Wang, Y Lin, T Zhang
The Eleventh International Conference on Learning Representations, 2023
112023
Spurious feature diversification improves out-of-distribution generalization
Y Lin, L Tan, Y Hao, H Wong, H Dong, W Zhang, Y Yang, T Zhang
arXiv preprint arXiv:2309.17230, 2023
92023
Error Compensated Loopless SVRG for Distributed Optimization
X Qian, H Dong, P Richtárik, T Zhang
OPT2020: 12th Annual Workshop on Optimization for Machine Learning (NeurIPS …, 2020
8*2020
Extreme vocabulary learning
H Dong, Z Sun, Y Fu, S Zhong, Z Zhang, YG Jiang
Frontiers of Computer Science 14 (6), 1-12, 2019
5*2019
Rlhf workflow: From reward modeling to online rlhf
H Dong, W Xiong, B Pang, H Wang, H Zhao, Y Zhou, N Jiang, D Sahoo, ...
arXiv preprint arXiv:2405.07863, 2024
42024
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