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2020 – today
- 2024
[c26]Wenxuan Zhou, Ravi Agrawal, Shujian Zhang, Sathish Reddy Indurthi, Sanqiang Zhao, Kaiqiang Song, Silei Xu, Chenguang Zhu:
WPO: Enhancing RLHF with Weighted Preference Optimization. EMNLP 2024: 8328-8340- [c25]Khai Nguyen, Shujian Zhang, Tam Le, Nhat Ho:
Sliced Wasserstein with Random-Path Projecting Directions. ICML 2024 - [c24]Shujian Zhang, Korawat Tanwisuth, Chengyue Gong, Pengcheng He, Mingyuan Zhou:
Switchable Decision: Dynamic Neural Generation Networks. ICML 2024 - [c23]Shujian Zhang, Lemeng Wu, Chengyue Gong, Xingchao Liu:
LanguageFlow: Advancing Diffusion Language Generation with Probabilistic Flows. NAACL-HLT 2024: 3893-3905 - [i27]Khai Nguyen, Shujian Zhang, Tam Le, Nhat Ho:
Sliced Wasserstein with Random-Path Projecting Directions. CoRR abs/2401.15889 (2024) - [i26]Shujian Zhang, Lemeng Wu, Chengyue Gong, Xingchao Liu:
Language Rectified Flow: Advancing Diffusion Language Generation with Probabilistic Flows. CoRR abs/2403.16995 (2024) - [i25]Shujian Zhang, Korawat Tanwisuth, Chengyue Gong, Pengcheng He, Mingyuan Zhou:
Switchable Decision: Dynamic Neural Generation Networks. CoRR abs/2405.04513 (2024) - [i24]Huy Nguyen, Pedram Akbarian, Trang Pham, Trang Nguyen, Shujian Zhang, Nhat Ho:
Statistical Advantages of Perturbing Cosine Router in Sparse Mixture of Experts. CoRR abs/2405.14131 (2024) - [i23]Wenxuan Zhou, Ravi Agrawal, Shujian Zhang, Sathish Reddy Indurthi, Sanqiang Zhao, Kaiqiang Song, Silei Xu, Chenguang Zhu:
WPO: Enhancing RLHF with Weighted Preference Optimization. CoRR abs/2406.11827 (2024) - [i22]Tianqi Chen, Shujian Zhang, Mingyuan Zhou:
Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models. CoRR abs/2409.11219 (2024) - [i21]Yuxin Xiao, Shujian Zhang, Wenxuan Zhou, Marzyeh Ghassemi, Sanqiang Zhao:
SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe. CoRR abs/2410.05248 (2024) - [i20]Tong Wu, Shujian Zhang, Kaiqiang Song, Silei Xu, Sanqiang Zhao, Ravi Agrawal, Sathish Reddy Indurthi, Chong Xiang, Prateek Mittal, Wenxuan Zhou:
Instructional Segment Embedding: Improving LLM Safety with Instruction Hierarchy. CoRR abs/2410.09102 (2024) - [i19]Wenxuan Zhou, Shujian Zhang, Lingxiao Zhao, Tao Meng:
T-REG: Preference Optimization with Token-Level Reward Regularization. CoRR abs/2412.02685 (2024) - 2023
- [c22]Xingchao Liu, Lemeng Wu, Shujian Zhang, Chengyue Gong, Wei Ping, Qiang Liu:
FlowGrad: Controlling the Output of Generative ODEs with Gradients. CVPR 2023: 24335-24344 - [c21]Shujian Zhang
:
Application research of athletes image segmentation based on deep learning. ICIEAI 2023: 278-283 - [c20]Yihao Feng, Shentao Yang, Shujian Zhang, Jianguo Zhang, Caiming Xiong, Mingyuan Zhou, Huan Wang:
Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems. ICLR 2023 - [c19]Korawat Tanwisuth, Shujian Zhang, Huangjie Zheng, Pengcheng He, Mingyuan Zhou:
POUF: Prompt-Oriented Unsupervised Fine-tuning for Large Pre-trained Models. ICML 2023: 33816-33832 - [c18]Huixia Ding, Shujian Zhang, Ya-Nan Zhang, Xiao Ma, Jinghai Lv, Junxiang Wu, Jingjing Zhang:
Visual Analysis of the Current Research Status in Acupuncture and Moxibustion Academic Thought. ISAIMS 2023: 1051-1058 - [c17]Shentao Yang, Shujian Zhang, Congying Xia, Yihao Feng, Caiming Xiong, Mingyuan Zhou:
Preference-grounded Token-level Guidance for Language Model Fine-tuning. NeurIPS 2023 - [i18]Korawat Tanwisuth, Shujian Zhang, Pengcheng He, Mingyuan Zhou:
A Prototype-Oriented Clustering for Domain Shift with Source Privacy. CoRR abs/2302.03807 (2023) - [i17]Yihao Feng, Shentao Yang, Shujian Zhang, Jianguo Zhang, Caiming Xiong, Mingyuan Zhou, Huan Wang:
Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems. CoRR abs/2302.10342 (2023) - [i16]Korawat Tanwisuth, Shujian Zhang, Huangjie Zheng, Pengcheng He, Mingyuan Zhou:
POUF: Prompt-oriented unsupervised fine-tuning for large pre-trained models. CoRR abs/2305.00350 (2023) - [i15]Shujian Zhang, Chengyue Gong, Lemeng Wu, Xingchao Liu, Mingyuan Zhou:
AutoML-GPT: Automatic Machine Learning with GPT. CoRR abs/2305.02499 (2023) - [i14]Shentao Yang, Shujian Zhang, Congying Xia, Yihao Feng, Caiming Xiong, Mingyuan Zhou:
Preference-grounded Token-level Guidance for Language Model Fine-tuning. CoRR abs/2306.00398 (2023) - 2022
- [c16]Shujian Zhang, Chengyue Gong, Xingchao Liu:
Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models. EMNLP 2022: 3931-3943 - [c15]Shentao Yang, Yihao Feng, Shujian Zhang, Mingyuan Zhou:
Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning. ICML 2022: 24980-25006 - [c14]Shujian Zhang, Chengyue Gong, Xingchao Liu, Pengcheng He, Weizhu Chen, Mingyuan Zhou:
ALLSH: Active Learning Guided by Local Sensitivity and Hardness. NAACL-HLT (Findings) 2022: 1328-1342 - [c13]Shentao Yang, Shujian Zhang, Yihao Feng, Mingyuan Zhou:
A Unified Framework for Alternating Offline Model Training and Policy Learning. NeurIPS 2022 - [i13]Shujian Zhang, Chengyue Gong, Xingchao Liu, Pengcheng He, Weizhu Chen, Mingyuan Zhou:
ALLSH: Active Learning Guided by Local Sensitivity and Hardness. CoRR abs/2205.04980 (2022) - [i12]Shentao Yang, Yihao Feng, Shujian Zhang, Mingyuan Zhou:
Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning. CoRR abs/2206.07166 (2022) - [i11]Shentao Yang, Shujian Zhang, Yihao Feng, Mingyuan Zhou:
A Unified Framework for Alternating Offline Model Training and Policy Learning. CoRR abs/2210.05922 (2022) - [i10]Shujian Zhang, Chengyue Gong, Xingchao Liu:
Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models. CoRR abs/2211.00915 (2022) - 2021
- [j8]Shujian Zhang, Li Wang:
The influence of government transparency on governance efficiency in information age: the environmental governance behavior of Guangdong, China. J. Enterp. Inf. Manag. 34(1): 446-459 (2021) - [c12]Shujian Zhang, Chengyue Gong, Eunsol Choi:
Knowing More About Questions Can Help: Improving Calibration in Question Answering. ACL/IJCNLP (Findings) 2021: 1958-1970 - [c11]Shujian Zhang, Chengyue Gong, Eunsol Choi:
Learning with Different Amounts of Annotation: From Zero to Many Labels. EMNLP (1) 2021: 7620-7632 - [c10]Xinjie Fan, Shujian Zhang, Korawat Tanwisuth, Xiaoning Qian, Mingyuan Zhou:
Contextual Dropout: An Efficient Sample-Dependent Dropout Module. ICLR 2021 - [c9]Shujian Zhang, Xinjie Fan, Bo Chen, Mingyuan Zhou:
Bayesian Attention Belief Networks. ICML 2021: 12413-12426 - [c8]Shujian Zhang, Zhan Xu, Lu Tian, Xiaolong Yang:
A Spectrum Sensing Method Based on CNN-LSTM Deep Neural Network. IC-NIDC 2021: 186-190 - [c7]Shujian Zhang, Xinjie Fan, Huangjie Zheng, Korawat Tanwisuth, Mingyuan Zhou:
Alignment Attention by Matching Key and Query Distributions. NeurIPS 2021: 13444-13457 - [c6]Korawat Tanwisuth, Xinjie Fan, Huangjie Zheng, Shujian Zhang, Hao Zhang, Bo Chen, Mingyuan Zhou:
A Prototype-Oriented Framework for Unsupervised Domain Adaptation. NeurIPS 2021: 17194-17208 - [i9]Shujian Zhang, Chengyue Gong, Eunsol Choi:
Capturing Label Distribution: A Case Study in NLI. CoRR abs/2102.06859 (2021) - [i8]Xinjie Fan, Shujian Zhang, Korawat Tanwisuth, Xiaoning Qian, Mingyuan Zhou:
Contextual Dropout: An Efficient Sample-Dependent Dropout Module. CoRR abs/2103.04181 (2021) - [i7]Shujian Zhang, Chengyue Gong, Eunsol Choi:
Knowing More About Questions Can Help: Improving Calibration in Question Answering. CoRR abs/2106.01494 (2021) - [i6]Shujian Zhang, Xinjie Fan, Bo Chen, Mingyuan Zhou:
Bayesian Attention Belief Networks. CoRR abs/2106.05251 (2021) - [i5]Shujian Zhang, Chengyue Gong, Eunsol Choi:
Learning with Different Amounts of Annotation: From Zero to Many Labels. CoRR abs/2109.04408 (2021) - [i4]Korawat Tanwisuth, Xinjie Fan, Huangjie Zheng, Shujian Zhang, Hao Zhang, Bo Chen, Mingyuan Zhou:
A Prototype-Oriented Framework for Unsupervised Domain Adaptation. CoRR abs/2110.12024 (2021) - [i3]Shujian Zhang, Xinjie Fan, Huangjie Zheng, Korawat Tanwisuth, Mingyuan Zhou:
Alignment Attention by Matching Key and Query Distributions. CoRR abs/2110.12567 (2021) - [i2]Xingchao Liu, Chengyue Gong, Lemeng Wu, Shujian Zhang, Hao Su, Qiang Liu:
FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimization. CoRR abs/2112.01573 (2021) - 2020
- [j7]Shujian Zhang, Chen Wei:
Deep learning network for UAV person re-identification based on residual block. Sci. China Inf. Sci. 63(7) (2020) - [j6]Shujian Zhang, Dajun Zhao, Shiwei Shen:
Failure mechanism of gently inclined bedding slope under hydraulic driving: The case of the Jiangyuan landslide along Heda Highway. J. Comput. Methods Sci. Eng. 20(2): 383-397 (2020) - [c5]Xinjie Fan, Shujian Zhang, Bo Chen, Mingyuan Zhou:
Bayesian Attention Modules. NeurIPS 2020 - [i1]Xinjie Fan, Shujian Zhang, Bo Chen, Mingyuan Zhou:
Bayesian Attention Modules. CoRR abs/2010.10604 (2020)
2010 – 2019
- 2013
- [c4]Chengcheng Pei, Zaichen Zhang, Shujian Zhang:
SoftOC: Real-time projector-wall-camera communication system. ICCE 2013: 100-101
1990 – 1999
- 1999
- [j5]Kevin Cattell, Shujian Zhang, Micaela Serra, Jon C. Muzio:
2-by-n Hybrid Cellular Automata with Regular Configuration: Theory and Application. IEEE Trans. Computers 48(3): 285-295 (1999) - 1998
- [b1]Shujian Zhang:
Evaluation in built-in self-test. University of Victoria, Canada, 1998 - 1996
- [j4]Shujian Zhang, D. Michael Miller, Jon C. Muzio:
Notes on "Complexity of the lookup-table minimization problem for FPGA technology mapping". IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 15(12): 1588-1590 (1996) - 1995
- [j3]Shujian Zhang, Jon C. Muzio:
Evaluating the safety of self-checking circuits. J. Electron. Test. 6(2): 243-253 (1995) - [j2]Kevin Cattell, Shujian Zhang:
Minimal cost one-dimensional linear hybrid cellular automata of degree through 500. J. Electron. Test. 6(2): 255-258 (1995) - [j1]Shujian Zhang, Rod Byrne, Jon C. Muzio, D. Michael Miller:
Quantitative analysis for linear hybrid cellular automata and LFSR as built-in self-test generators for sequential faults. J. Electron. Test. 7(3): 209-221 (1995) - 1994
- [c3]Shujian Zhang, Rod Byrne, Jon C. Muzio, D. Michael Miller:
Why Cellular Automata are better than LFSRs as Built-in Self-test Generators for Sequential-type Faults. ISCAS 1994: 69-72 - 1992
- [c2]Shujian Zhang, Rod Byrne, D. Michael Miller:
BIST Generators for Sequential Faults. ICCD 1992: 260-263 - 1990
- [c1]D. Michael Miller, Shujian Zhang, Werner Pries, Robert D. McLeod:
Estimating aliasing in CA and LFSR based signature registers. ICCD 1990: 157-160
Coauthor Index
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