Identification of "unobservable" cyber data attacks on power grids. - Meng Wang 003; Pengzhi Gao; Scott G. Ghiocel; Joe H. Chow; Bruce Fardanesh; George Stefopoulos; Michael P. Razanousky (SmartGridComm, 2014)

Matrix completion with columns in union and sums of subspaces. - Pengzhi Gao; Meng Wang 003; Joe H. Chow; Matthew Berger; Lee M. Seversky (GlobalSIP, 2015)

A Low-Rank Matrix Approach for the Analysis of Large Amounts of Power System Synchrophasor Data. - Meng Wang 003; Joe H. Chow; Pengzhi Gao; Xinyu Tony Jiang; Yu Xia; Scott G. Ghiocel; Bruce Fardanesh; George Stefopoulos; Yutaka Kokai; Nao Saito; Michael P. Razanousky (HICSS, 2015)

Low-rank matrix recovery from quantized and erroneous measurements: Accuracy-preserved data privatization in power grids. - Pengzhi Gao; Ren Wang 008; Meng Wang 003; Joe H. Chow (ACSSC, 2016)

Identification of Successive "Unobservable" Cyber Data Attacks in Power Systems Through Matrix Decomposition. - Pengzhi Gao; Meng Wang 003; Joe H. Chow; Scott G. Ghiocel; Bruce Fardanesh; George Stefopoulos; Michael P. Razanousky (IEEE Trans. Signal Process., 2016)

Missing Data Recovery for High-Dimensional Signals With Nonlinear Low-Dimensional Structures. - Pengzhi Gao; Meng Wang 003; Joe H. Chow; Matthew Berger; Lee M. Seversky (IEEE Trans. Signal Process., 2017)

Dynamic Matrix Recovery from Partially Observed and Erroneous Measurements. - Pengzhi Gao; Meng Wang 003 (ICASSP, 2018)

Low-Rank Matrix Recovery From Noisy, Quantized, and Erroneous Measurements. - Pengzhi Gao; Ren Wang 008; Meng Wang 003; Joe H. Chow (IEEE Trans. Signal Process., 2018)

A Data-Centric Framework for Composable NLP Workflows. - Zhengzhong Liu 001; Guanxiong Ding; Avinash Bukkittu; Mansi Gupta; Pengzhi Gao; Atif Ahmed; Shikun Zhang; Xin Gao 001; Swapnil Singhavi; Linwei Li; Wei Wei; Zecong Hu; et al. (EMNLP (Demos), 2020)

Robust Low-Rank Tensor Recovery From Quantized and Corrupted Measurements. - Ren Wang 008; Tianqi Chen; Zhe Xu 005; Pengzhi Gao (ACSCC, 2021)

Mixup Decoding for Diverse Machine Translation. - Jicheng Li; Pengzhi Gao; Xuanfu Wu; Yang Feng 004; Zhongjun He; Hua Wu 003; Haifeng Wang 001 (EMNLP (Findings), 2021)

Multimodal Emotion Recognition Using CNN-SVM with Data Augmentation. - Gengyuan Guo; Pengzhi Gao; Xiangwei Zheng 001; Cun Ji (BIBM, 2022)

Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation. - Pengzhi Gao; Zhongjun He; Hua Wu 003; Haifeng Wang 001 (NAACL-HLT, 2022)

Improving Zero-shot Multilingual Neural Machine Translation by Leveraging Cross-lingual Consistency Regularization. - Pengzhi Gao; Liwen Zhang; Zhongjun He; Hua Wu 003; Haifeng Wang 001 (ACL (Findings), 2023)

Learning Multilingual Sentence Representations with Cross-lingual Consistency Regularization. - Pengzhi Gao; Liwen Zhang; Zhongjun He; Hua Wu 003; Haifeng Wang 001 (EMNLP (Industry Track), 2023)

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. - Jiangshu Du; Yibo Wang 001; Wenting Zhao 006; Zhongfen Deng; Shuaiqi Liu 002; Renze Lou; Henry Peng Zou; Pranav Narayanan Venkit; Nan Zhang; Mukund Srinath; Haoran Zhang 004; Vipul Gupta; et al. (EMNLP, 2024)

Mixture of Diverse Size Experts. - Manxi Sun; Wei Liu 005; Jian Luan 001; Pengzhi Gao; Bin Wang 004 (EMNLP (Industry Track), 2024)

Graph Convolutional Neural Network and Attention Mechanism based Emotion Classification. - Pengzhi Gao; Xiangwei Zheng 001; Gengyuan Guo; Yuang Zhang (IIKI, 2024)

An Empirical Study of Consistency Regularization for End-to-End Speech-to-Text Translation. - Pengzhi Gao; Ruiqing Zhang; Zhongjun He; Hua Wu 003; Haifeng Wang 001 (NAACL-HLT, 2024)

Towards Boosting Many-to-Many Multilingual Machine Translation with Large Language Models. - Pengzhi Gao; Zhongjun He; Hua Wu 003; Haifeng Wang 001 (CoRR, 2024)

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. - Jiangshu Du; Yibo Wang 001; Wenting Zhao 006; Zhongfen Deng; Shuaiqi Liu 002; Renze Lou; Henry Peng Zou; Pranav Narayanan Venkit; Nan Zhang; Mukund Srinath; Haoran Ranran Zhang; Vipul Gupta; et al. (CoRR, 2024)

Graph Convolutional Neural Network Based Emotion Recognition with Brain Functional Connectivity Network. - Pengzhi Gao; Xiangwei Zheng 001; Tao Wang; Yuang Zhang (Int. J. Crowd Sci., 2024)

Doubly Constrained Fair Clustering for General p-Norms. - Lunhao Zhang; Pengzhi Gao; Peng Zhang (COCOON (1), 2025)

Multilingual Machine Translation with Open Large Language Models at Practical Scale: An Empirical Study. - Menglong Cui; Pengzhi Gao; Wei Liu 005; Jian Luan 001; Bin Wang 004 (NAACL (Long Papers), 2025)

A Simple Heuristic Finding Connectivity Bottleneck in Networks with Shared Risk Resource Groups. - Yizhe Tong; Pengzhi Gao; Peng Zhang 008 (WASA (2), 2025)

Mobile-Bench-v2: A More Realistic and Comprehensive Benchmark for VLM-based Mobile Agents. - Weikai Xu; Zhizheng Jiang; Yuxuan Liu 009; Pengzhi Gao; Wei Liu 005; Jian Luan 001; Yuanchun Li; Yunxin Liu 001; Bin Wang 004; Bo An 001 (CoRR, 2025)

Enhance Mobile Agents Thinking Process Via Iterative Preference Learning. - Kun Huang; Weikai Xu; Yuxuan Liu 009; Quandong Wang; Pengzhi Gao; Wei Liu 005; Jian Luan 001; Bin Wang 004; Bo An 001 (CoRR, 2025)

BacktrackAgent: Enhancing GUI Agent with Error Detection and Backtracking Mechanism. - Qinzhuo Wu; Pengzhi Gao; Wei Liu 005; Jian Luan 001 (CoRR, 2025)

Hijacking JARVIS: Benchmarking Mobile GUI Agents against Unprivileged Third Parties. - Guohong Liu 002; Jialei Ye; Jiacheng Liu; Yuanchun Li; Wei Liu 005; Pengzhi Gao; Jian Luan 001; Yunxin Liu 001 (CoRR, 2025)