Extending PSC for Monitoring the Timed Properties in Composite Services. - Pengcheng Zhang 001; Bixin Li; Zhiyong Su; Mingjie Sun (APSEC, 2008)

An Approach to Monitor Scenario-Based Temporal Properties in Web Service Compositions. - Pengcheng Zhang 001; Bixin Li; Henry Muccini; Mingjie Sun (APWeb Workshops, 2008)

A PSC-Based Approach to Monitor the Timed Properties in Web Service Compositions. - Pengcheng Zhang 001; Bixin Li; Mingjie Sun; Xufang Gong (COMPSAC, 2008)

A Timed Extension of Property Sequence Chart. - Pengcheng Zhang 001; Bixin Li; Mingjie Sun (HASE, 2008)

Data-Enriched Modeling and Verification of WS-CDL Based on UML Models. - Pengcheng Zhang 001; Bixin Li; Henry Muccini; Yu Zhou 010; Mingjie Sun (ICWS, 2008)

Monitoring BPEL-Based Web Service Composition Using AOP. - Mingjie Sun; Bixin Li; Pengcheng Zhang 001 (ACIS-ICIS, 2009)

Monitoring Web Services for Conformance. - Bixin Li; Shunhui Ji; Li Liao; Dong Qiu; Mingjie Sun (SOSE, 2013)

Analysis on ghost image contrast using linearly polarized light. - Tianran Zhang; Mingjie Sun; Lijing Li (MFI, 2014)

Intracranial hemorrhage detection by 3D voxel segmentation on brain CT images. - Mingjie Sun; Roland Hu; Huimin Yu; Bao Zhao; Huipeng Ren (WCSP, 2015)

Adaptive foveated single-pixel imaging with dynamic super-sampling. - David B. Phillips; Mingjie Sun; Jonathan M. Taylor; Matthew P. Edgar; Stephen M. Barnett; Graham G. Gibson; Miles J. Padgett (CoRR, 2016)

Data Poisoning Attack against Unsupervised Node Embedding Methods. - Mingjie Sun; Jian Tang 008; Huichen Li; Bo Li 026; Chaowei Xiao; Yao Chen; Dawn Song (CoRR, 2018)

Rethinking the Value of Network Pruning. - Zhuang Liu 003; Mingjie Sun; Tinghui Zhou; Gao Huang 001; Trevor Darrell (ICLR (Poster), 2019)

Characterizing Attacks on Deep Reinforcement Learning. - Chaowei Xiao; Xinlei Pan; Warren He; Jian Peng 001; Mingjie Sun; Jinfeng Yi; Mingyan Liu; Bo Li 026; Dawn Song (CoRR, 2019)

Progressive Sample Mining and Representation Learning for One-Shot Person Re-identification with Adversarial Samples. - Hui Li 085; Jimin Xiao; Mingjie Sun; Eng Gee Lim; Yao Zhao 001 (CoRR, 2019)

Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach. - Bingfeng Zhang; Jimin Xiao; Yunchao Wei; Mingjie Sun; Kaizhu Huang (AAAI, 2020)

Fast Template Matching and Update for Video Object Tracking and Segmentation. - Mingjie Sun; Jimin Xiao; Eng Gee Lim; Bingfeng Zhang; Yao Zhao 001 (CVPR, 2020)

Feature Representation Matters: End-to-End Learning for Reference-Based Image Super-Resolution. - Yanchun Xie; Jimin Xiao; Mingjie Sun; Chao Yao; Kaizhu Huang (ECCV (4), 2020)

Denoised Smoothing: A Provable Defense for Pretrained Classifiers. - Hadi Salman; Mingjie Sun; Greg Yang; Ashish Kapoor; J. Zico Kolter (NeurIPS, 2020)

Black-box Smoothing: A Provable Defense for Pretrained Classifiers. - Hadi Salman; Mingjie Sun; Greg Yang; Ashish Kapoor; J. Zico Kolter (CoRR, 2020)

Poisoned classifiers are not only backdoored, they are fundamentally broken. - Mingjie Sun; Siddhant Agarwal; J. Zico Kolter (CoRR, 2020)

Extreme Value Preserving Networks. - Mingjie Sun; Jianguo Li; Changshui Zhang (CoRR, 2020)

Adaptive ROI generation for video object segmentation using reinforcement learning. - Mingjie Sun; Jimin Xiao; Eng Gee Lim; Yanchun Xie; Jiashi Feng (Pattern Recognit., 2020)

Iterative Shrinking for Referring Expression Grounding Using Deep Reinforcement Learning. - Mingjie Sun; Jimin Xiao; Eng Gee Lim (CVPR, 2021)

An Improved Random Walk Algorithm for Resource Scheduling in Cloud Datacenter. - Mingjie Sun; Xiaoyong Li 003; Yali Gao; Jie Yuan 001; Wenping Kong; Haifeng Chang (ICCDE, 2021)

Can Shape Structure Features Improve Model Robustness under Diverse Adversarial Settings? - Mingjie Sun; Zichao Li 009; Chaowei Xiao; Haonan Qiu; Bhavya Kailkhura; Mingyan Liu; Bo Li 026 (ICCV, 2021)

Discriminative Triad Matching and Reconstruction for Weakly Referring Expression Grounding. - Mingjie Sun; Jimin Xiao; Eng Gee Lim; Si Liu 001; John Yannis Goulermas (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Progressive sample mining and representation learning for one-shot person re-identification. - Hui Li 085; Jimin Xiao; Mingjie Sun; Eng Gee Lim; Yao Zhao 001 (Pattern Recognit., 2021)

Characterizing Attacks on Deep Reinforcement Learning. - Xinlei Pan; Chaowei Xiao; Warren He; Shuang Yang; Jian Peng 001; Mingjie Sun; Mingyan Liu; Bo Li 026; Dawn Song (AAMAS, 2022)

An Unsupervised Sentence Embedding Method by Maximizing the Mutual Information of Augmented Text Representations. - Tianye Sheng; Lisong Wang; Zongfeng He; Mingjie Sun; Guohua Jiang (ICANN (2), 2022)

Chinese Named Entity Recognition Using the Improved Transformer Encoder and the Lexicon Adapter. - Mingjie Sun; Lisong Wang; Tianye Sheng; Zongfeng He; Yuhua Huang (ICANN (2), 2022)

Spatial-Temporal Attention Network for Crime Prediction with Adaptive Graph Learning. - Mingjie Sun; Pengyuan Zhou; Hui Tian; Yong Liao; Haiyong Xie 001 (ICANN (2), 2022)

Multi-relation Word Pair Tag Space for Joint Entity and Relation Extraction. - Mingjie Sun; Lisong Wang; Tianye Sheng; Zongfeng He; Yuhua Huang (ICONIP (2), 2022)

MLSAN: Mixed-Lattice Self-Attention Network for Chinese Named Entity Recognition. - Zongfeng He; Lisong Wang; Tianye Sheng; Mingjie Sun; Liang Liu 006 (ICPR, 2022)

Test Time Adaptation via Conjugate Pseudo-labels. - Sachin Goyal; Mingjie Sun; Aditi Raghunathan; J. Zico Kolter (NeurIPS, 2022)

Transformer-Based Language-Person Search With Multiple Region Slicing. - Hui Li 085; Jimin Xiao; Mingjie Sun; Eng Gee Lim; Yao Zhao 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Single Image Backdoor Inversion via Robust Smoothed Classifiers. - Mingjie Sun; Zico Kolter (CVPR, 2023)

(Certified!!) Adversarial Robustness for Free! - Nicholas Carlini; Florian Tramèr; Krishnamurthy (Dj) Dvijotham; Leslie Rice; Mingjie Sun; J. Zico Kolter (ICLR, 2023)

Dance with You: The Diversity Controllable Dancer Generation via Diffusion Models. - Siyue Yao; Mingjie Sun; Bingliang Li; Fengyu Yang; Junle Wang; Ruimao Zhang (ACM Multimedia, 2023)

Reliable Test-Time Adaptation via Agreement-on-the-Line. - Eungyeup Kim; Mingjie Sun; Aditi Raghunathan; Zico Kolter (CoRR, 2023)

Cycle-Free Weakly Referring Expression Grounding With Self-Paced Learning. - Mingjie Sun; Jimin Xiao; Eng Gee Lim; Yao Zhao 001 (IEEE Trans. Multim., 2023)

Starting Point Selection and Multiple-Standard Matching for Video Object Segmentation With Language Annotation. - Mingjie Sun; Jimin Xiao; Eng Gee Lim; Yao Zhao 001 (IEEE Trans. Multim., 2023)

Illumination Temporal Fluctuation Suppression for Single-Pixel Imaging. - Han Wang; Mingjie Sun; Lailiang Song (Sensors, 2023)

Plausible Proxy Mining With Credibility for Unsupervised Person Re-Identification. - Dingyuan Zheng; Jimin Xiao; Mingjie Sun; Huihui Bai 001; Junhui Hou (IEEE Trans. Circuits Syst. Video Technol., 2023)

Fully and Weakly Supervised Referring Expression Segmentation With End-to-End Learning. - Hui Li 085; Mingjie Sun; Jimin Xiao; Eng Gee Lim; Yao Zhao 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

PromptCD: Coupled and Decoupled Prompt Learning for Vision-Language Models. - Junjie Wu 005; Mingjie Sun; Chen Gong 004; Nan Yu; Guohong Fu (ECAI, 2024)

Adversarial Erasing Transformer for Weakly Supervised Semantic Segmentation. - Bingfeng Zhang; Siyue Yu; Xuru Gao; Mingjie Sun; Eng Gee Lim; Jimin Xiao (ECAI, 2024)

A Simple and Effective Pruning Approach for Large Language Models. - Mingjie Sun; Zhuang Liu 003; Anna Bair; J. Zico Kolter (ICLR, 2024)

Test-Time Adaptation Induces Stronger Accuracy and Agreement-on-the-Line. - Eungyeup Kim; Mingjie Sun; Christina Baek; Aditi Raghunathan; J. Zico Kolter (NeurIPS, 2024)

Massive Activations in Large Language Models. - Mingjie Sun; Xinlei Chen; J. Zico Kolter; Zhuang Liu 003 (CoRR, 2024)

FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation. - Liqun Ma; Mingjie Sun; Zhiqiang Shen (CoRR, 2024)

Bi-Mamba: Towards Accurate 1-Bit State Space Models. - Shengkun Tang; Liqun Ma; Haonan Li; Mingjie Sun; Zhiqiang Shen (CoRR, 2024)

SweetTokenizer: Semantic-Aware Spatial-Temporal Tokenizer for Compact Visual Discretization. - Zhentao Tan; Ben Xue; Jian Jia; Junhao Wang; Wencai Ye; Shaoyun Shi; Mingjie Sun; Wenjin Wu; Quan Chen; Peng Jiang (CoRR, 2024)

Context-based local-global fusion network for 3D point cloud classification and segmentation. - Junwei Wu; Mingjie Sun; Chenru Jiang; Jiejie Liu; Jeremy S. Smith; Quan Zhang (Expert Syst. Appl., 2024)

Prototype Guided Pseudo Labeling and Perturbation-based Active Learning for domain adaptive semantic segmentation. - Junkun Peng; Mingjie Sun; Eng Gee Lim; Qiufeng Wang 001; Jimin Xiao (Pattern Recognit., 2024)

Unified Multi-Modality Video Object Segmentation Using Reinforcement Learning. - Mingjie Sun; Jimin Xiao; Eng Gee Lim; Cairong Zhao; Yao Zhao 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

ConSense: Continually Sensing Human Activity with WiFi via Growing and Picking. - Rong Li; Tao Deng 003; Siwei Feng; Mingjie Sun; Juncheng Jia (AAAI, 2025)

Noise-Consistent Siamese-Diffusion for Medical Image Synthesis and Segmentation. - Kunpeng Qiu; Zhiqiang Gao; Zhiying Zhou; Mingjie Sun; Yongxin Guo (CVPR, 2025)

Class agnostic and specific consistency learning for weakly-supervised point cloud semantic segmentation. - Junwei Wu; Mingjie Sun; Haotian Xu; Chenru Jiang; Wuwei Ma; Quan Zhang (Pattern Recognit., 2025)

Auxiliary captioning: Bridging image-text matching and image captioning. - Hui Li 085; Jimin Xiao; Mingjie Sun; Eng Gee Lim; Yao Zhao 001 (Signal Process. Image Commun., 2025)

Massive Values in Self-Attention Modules are the Key to Contextual Knowledge Understanding. - Mingyu Jin; Kai Mei; Wujiang Xu; Mingjie Sun; Ruixiang Tang; Mengnan Du; Zirui Liu 001; Yongfeng Zhang (CoRR, 2025)

Idiosyncrasies in Large Language Models. - Mingjie Sun; Yida Yin; Zhiqiu Xu; J. Zico Kolter; Zhuang Liu 003 (CoRR, 2025)

Revisiting a Simple MLP Framework for Z-Axis Rotation-Invariant Point Cloud Place Recognition. - Junwei Wu; Jiejie Liu; Mingjie Sun; Chenru Jiang; Jeremy S. Smith; Eng Gee Lim; Quan Zhang (Cogn. Comput., 2025)

Command-V: Pasting LLM Behaviors via Activation Profiles. - Barry Wang; Avi Schwarzschild; Alexander Robey; Ali Payani; Charles Fleming; Mingjie Sun; Daphne Ippolito (CoRR, 2025)

Topological Fusion Model for Molecular Property Prediction. - Xia Rong; Haotian Xu; Junwei Wu; Zhang Shufei; Mingjie Sun; Jiejie Liu; Quan Zhang (Appl. Intell., 2025)

Crucial-Diff: A Unified Diffusion Model for Crucial Image and Annotation Synthesis in Data-scarce Scenarios. - Siyue Yao; Mingjie Sun; Eng Gee Lim; Ran Yi; Baojiang Zhong; Moncef Gabbouj (CoRR, 2025)

DAS: Dual-Aligned Semantic IDs Empowered Industrial Recommender System. - Wencai Ye; Mingjie Sun; Shaoyun Shi; Wang Peng; Wenjin Wu; Peng Jiang (CoRR, 2025)

Trust Online Over-the-Air Computation for Wireless Federated Learning. - Mingjie Sun; Jie Zheng 005; Hongyang Du; Haijun Zhang 001; Dusit Niyato; Jiawen Kang 001; Jiacheng Wang 001; Jie Ren 007; Ling Gao; Zheng Wang 001 (IEEE Trans. Mob. Comput., 2025)