Estimating aliasing in CA and LFSR based signature registers. - D. Michael Miller; Shujian Zhang; Werner Pries; Robert D. McLeod (ICCD, 1990)

BIST Generators for Sequential Faults. - Shujian Zhang; Rod Byrne; D. Michael Miller (ICCD, 1992)

Why Cellular Automata are better than LFSRs as Built-in Self-test Generators for Sequential-type Faults. - Shujian Zhang; Rod Byrne; Jon C. Muzio; D. Michael Miller (ISCAS, 1994)

Minimal cost one-dimensional linear hybrid cellular automata of degree through 500. - Kevin Cattell; Shujian Zhang (J. Electron. Test., 1995)

Quantitative analysis for linear hybrid cellular automata and LFSR as built-in self-test generators for sequential faults. - Shujian Zhang; Rod Byrne; Jon C. Muzio; D. Michael Miller (J. Electron. Test., 1995)

Evaluating the safety of self-checking circuits. - Shujian Zhang; Jon C. Muzio (J. Electron. Test., 1995)

Notes on "Complexity of the lookup-table minimization problem for FPGA technology mapping". - Shujian Zhang; D. Michael Miller; Jon C. Muzio (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 1996)

Evaluation in built-in self-test. - Shujian Zhang (1998)

2-by-n Hybrid Cellular Automata with Regular Configuration: Theory and Application. - Kevin Cattell; Shujian Zhang; Micaela Serra; Jon C. Muzio (IEEE Trans. Computers, 1999)

SoftOC: Real-time projector-wall-camera communication system. - Chengcheng Pei; Zaichen Zhang; Shujian Zhang (ICCE, 2013)

Bayesian Attention Modules. - Xinjie Fan; Shujian Zhang; Bo Chen 001; Mingyuan Zhou (NeurIPS, 2020)

Deep learning network for UAV person re-identification based on residual block. - Shujian Zhang; Chen Wei (Sci. China Inf. Sci., 2020)

Failure mechanism of gently inclined bedding slope under hydraulic driving: The case of the Jiangyuan landslide along Heda Highway. - Shujian Zhang; Dajun Zhao; Shiwei Shen (J. Comput. Methods Sci. Eng., 2020)

Knowing More About Questions Can Help: Improving Calibration in Question Answering. - Shujian Zhang; Chengyue Gong; Eunsol Choi (ACL/IJCNLP (Findings), 2021)

Learning with Different Amounts of Annotation: From Zero to Many Labels. - Shujian Zhang; Chengyue Gong; Eunsol Choi (EMNLP (1), 2021)

Contextual Dropout: An Efficient Sample-Dependent Dropout Module. - Xinjie Fan; Shujian Zhang; Korawat Tanwisuth; Xiaoning Qian; Mingyuan Zhou (ICLR, 2021)

Bayesian Attention Belief Networks. - Shujian Zhang; Xinjie Fan; Bo Chen 001; Mingyuan Zhou (ICML, 2021)

A Spectrum Sensing Method Based on CNN-LSTM Deep Neural Network. - Shujian Zhang; Zhan Xu; Lu Tian; Xiaolong Yang (IC-NIDC, 2021)

A Prototype-Oriented Framework for Unsupervised Domain Adaptation. - Korawat Tanwisuth; Xinjie Fan; Huangjie Zheng; Shujian Zhang; Hao Zhang 050; Bo Chen 001; Mingyuan Zhou (NeurIPS, 2021)

Alignment Attention by Matching Key and Query Distributions. - Shujian Zhang; Xinjie Fan; Huangjie Zheng; Korawat Tanwisuth; Mingyuan Zhou (NeurIPS, 2021)

Capturing Label Distribution: A Case Study in NLI. - Shujian Zhang; Chengyue Gong; Eunsol Choi (CoRR, 2021)

FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimization. - Xingchao Liu; Chengyue Gong; Lemeng Wu; Shujian Zhang; Hao Su; Qiang Liu 001 (CoRR, 2021)

The influence of government transparency on governance efficiency in information age: the environmental governance behavior of Guangdong, China. - Shujian Zhang; Li Wang (J. Enterp. Inf. Manag., 2021)

Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models. - Shujian Zhang; Chengyue Gong; Xingchao Liu (EMNLP, 2022)

Regularizing a Model-based Policy Stationary Distribution to Stabilize Offline Reinforcement Learning. - Shentao Yang; Yihao Feng; Shujian Zhang; Mingyuan Zhou (ICML, 2022)

ALLSH: Active Learning Guided by Local Sensitivity and Hardness. - Shujian Zhang; Chengyue Gong; Xingchao Liu; Pengcheng He; Weizhu Chen; Mingyuan Zhou (NAACL-HLT (Findings), 2022)

A Unified Framework for Alternating Offline Model Training and Policy Learning. - Shentao Yang; Shujian Zhang; Yihao Feng; Mingyuan Zhou (NeurIPS, 2022)

FlowGrad: Controlling the Output of Generative ODEs with Gradients. - Xingchao Liu; Lemeng Wu; Shujian Zhang; Chengyue Gong; Wei Ping; Qiang Liu 001 (CVPR, 2023)

Application research of athletes image segmentation based on deep learning. - Shujian Zhang (ICIEAI, 2023)

Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems. - Yihao Feng; Shentao Yang; Shujian Zhang; Jianguo Zhang 005; Caiming Xiong; Mingyuan Zhou; Huan Wang 014 (ICLR, 2023)

POUF: Prompt-Oriented Unsupervised Fine-tuning for Large Pre-trained Models. - Korawat Tanwisuth; Shujian Zhang; Huangjie Zheng; Pengcheng He; Mingyuan Zhou (ICML, 2023)

Visual Analysis of the Current Research Status in Acupuncture and Moxibustion Academic Thought. - Huixia Ding; Shujian Zhang; Ya-Nan Zhang; Xiao Ma; Jinghai Lv; Junxiang Wu; Jingjing Zhang (ISAIMS, 2023)

Preference-grounded Token-level Guidance for Language Model Fine-tuning. - Shentao Yang; Shujian Zhang; Congying Xia; Yihao Feng; Caiming Xiong; Mingyuan Zhou (NeurIPS, 2023)

A Prototype-Oriented Clustering for Domain Shift with Source Privacy. - Korawat Tanwisuth; Shujian Zhang; Pengcheng He; Mingyuan Zhou (CoRR, 2023)

AutoML-GPT: Automatic Machine Learning with GPT. - Shujian Zhang; Chengyue Gong; Lemeng Wu; Xingchao Liu; Mingyuan Zhou (CoRR, 2023)

WPO: Enhancing RLHF with Weighted Preference Optimization. - Wenxuan Zhou; Ravi Agrawal; Shujian Zhang; Sathish Reddy Indurthi; Sanqiang Zhao; Kaiqiang Song; Silei Xu; Chenguang Zhu (EMNLP, 2024)

Sliced Wasserstein with Random-Path Projecting Directions. - Khai Nguyen; Shujian Zhang; Tam Le; Nhat Ho (ICML, 2024)

Switchable Decision: Dynamic Neural Generation Networks. - Shujian Zhang; Korawat Tanwisuth; Chengyue Gong; Pengcheng He; Mingyuan Zhou (ICML, 2024)

LanguageFlow: Advancing Diffusion Language Generation with Probabilistic Flows. - Shujian Zhang; Lemeng Wu; Chengyue Gong; Xingchao Liu (NAACL-HLT, 2024)

Language Rectified Flow: Advancing Diffusion Language Generation with Probabilistic Flows. - Shujian Zhang; Lemeng Wu; Chengyue Gong; Xingchao Liu (CoRR, 2024)

Statistical Advantages of Perturbing Cosine Router in Sparse Mixture of Experts. - Huy Nguyen; Pedram Akbarian; Trang Pham; Trang Nguyen; Shujian Zhang; Nhat Ho (CoRR, 2024)

SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe. - Yuxin Xiao; Shujian Zhang; Wenxuan Zhou; Marzyeh Ghassemi; Sanqiang Zhao (CoRR, 2024)

T-REG: Preference Optimization with Token-Level Reward Regularization. - Wenxuan Zhou; Shujian Zhang; Lingxiao Zhao; Tao Meng (ACL (1), 2025)

Score Forgetting Distillation: A Swift, Data-Free Method for Machine Unlearning in Diffusion Models. - Tianqi Chen; Shujian Zhang; Mingyuan Zhou (ICLR, 2025)

Statistical Advantages of Perturbing Cosine Router in Mixture of Experts. - Huy Nguyen; Pedram Akbarian; Huyen Trang Pham; Thien Trang Nguyen Vu; Shujian Zhang; Nhat Ho (ICLR, 2025)

Instructional Segment Embedding: Improving LLM Safety with Instruction Hierarchy. - Tong Wu; Shujian Zhang; Kaiqiang Song; Silei Xu; Sanqiang Zhao; Ravi Agrawal; Sathish Reddy Indurthi; Chong Xiang 001; Prateek Mittal; Wenxuan Zhou (ICLR, 2025)

DLM-One: Diffusion Language Models for One-Step Sequence Generation. - Tianqi Chen; Shujian Zhang; Mingyuan Zhou (CoRR, 2025)

Principled Foundations for Preference Optimization. - Wenxuan Zhou; Shujian Zhang; Brice Magdalou; John Lambert; Ehsan Amid; Richard Nock; Andrew Hard (CoRR, 2025)