Pengzhi Gao - RankMe

46 papers A* 2Misc 2Journal 26Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CoME: Empowering Channel-of-Mobile-Experts with Informative Hybrid-Capabilities Reasoning. CoRR Yuxuan Liu, Weikai Xu, Kun Huang, Changyu Chen, Jiankun Zhao, Pengzhi Gao, Wei Liu, Jian Luan, Shuo Shang, Bo Du, Ji-Rong Wen, Rui Yan
2026	J	`jnl`	ExPosST: Explicit Positioning with Adaptive Masking for LLM-Based Simultaneous Machine Translation. CoRR Yuzhe Shang, Pengzhi Gao, Yazheng Yang, Jiayao Ma, Wei Liu, Jian Luan, Jinsong Su
2026	J	`jnl`	MobileBench-OL: A Comprehensive Chinese Benchmark for Evaluating Mobile GUI Agents in Real-World Environment. CoRR Qinzhuo Wu, Zhizhuo Yang, Hanhao Li, Pengzhi Gao, Wei Liu, Jian Luan
2026	J	`jnl`	Scaling Model and Data for Multilingual Machine Translation with Open Large Language Models. CoRR Yuzhe Shang, Pengzhi Gao, Wei Liu, Jian Luan, Jinsong Su
2025	—	`conf`	A Simple Heuristic Finding Connectivity Bottleneck in Networks with Shared Risk Resource Groups. WASA (2) Yizhe Tong, Pengzhi Gao, Peng Zhang
2025	A*	`conf`	BacktrackAgent: Enhancing GUI Agent with Error Detection and Backtracking Mechanism. EMNLP Qinzhuo Wu, Pengzhi Gao, Wei Liu, Jian Luan
2025	J	`jnl`	BacktrackAgent: Enhancing GUI Agent with Error Detection and Backtracking Mechanism. CoRR Qinzhuo Wu, Pengzhi Gao, Wei Liu, Jian Luan
2025	—	`conf`	Doubly Constrained Fair Clustering for General p-Norms. COCOON (1) Lunhao Zhang, Pengzhi Gao, Peng Zhang
2025	J	`jnl`	Enhance Mobile Agents Thinking Process Via Iterative Preference Learning. CoRR Kun Huang, Weikai Xu, Yuxuan Liu, Quandong Wang, Pengzhi Gao, Wei Liu, Jian Luan, Bin Wang, Bo An
2025	J	`jnl`	GUI-PRA: Process Reward Agent for GUI Tasks. CoRR Tao Xiong, Xavier Hu, Yurun Chen, Yuhang Liu, Changqiao Wu, Pengzhi Gao, Wei Liu, Jian Luan, Shengyu Zhang
2025	J	`jnl`	Hijacking JARVIS: Benchmarking Mobile GUI Agents against Unprivileged Third Parties. CoRR Guohong Liu, Jialei Ye, Jiacheng Liu, Yuanchun Li, Wei Liu, Pengzhi Gao, Jian Luan, Yunxin Liu
2025	J	`jnl`	Mobile-Bench-v2: A More Realistic and Comprehensive Benchmark for VLM-based Mobile Agents. CoRR Weikai Xu, Zhizheng Jiang, Yuxuan Liu, Pengzhi Gao, Wei Liu, Jian Luan, Yuanchun Li, Yunxin Liu, Bin Wang, Bo An
2025	—	`conf`	Multilingual Machine Translation with Open Large Language Models at Practical Scale: An Empirical Study. NAACL (Long Papers) Menglong Cui, Pengzhi Gao, Wei Liu, Jian Luan, Bin Wang
2025	J	`jnl`	Multilingual Machine Translation with Open Large Language Models at Practical Scale: An Empirical Study. CoRR Menglong Cui, Pengzhi Gao, Wei Liu, Jian Luan, Bin Wang
2025	J	`jnl`	Revisiting Entropy in Reinforcement Learning for Large Reasoning Models. CoRR Renren Jin, Pengzhi Gao, Yuqi Ren, Zhuowen Han, Tongxuan Zhang, Wuwei Huang, Wei Liu, Jian Luan, Deyi Xiong
2025	J	`jnl`	STEP: Success-Rate-Aware Trajectory-Efficient Policy Optimization. CoRR Yuhan Chen, Yuxuan Liu, Long Zhang, Pengzhi Gao, Jian Luan, Wei Liu
2024	—	`conf`	An Empirical Study of Consistency Regularization for End-to-End Speech-to-Text Translation. NAACL-HLT Pengzhi Gao, Ruiqing Zhang, Zhongjun He, Hua Wu, Haifeng Wang
2024	J	`jnl`	Graph Convolutional Neural Network Based Emotion Recognition with Brain Functional Connectivity Network. Int. J. Crowd Sci. Pengzhi Gao, Xiangwei Zheng, Tao Wang, Yuang Zhang
2024	—	`conf`	Graph Convolutional Neural Network and Attention Mechanism based Emotion Classification. IIKI Pengzhi Gao, Xiangwei Zheng, Gengyuan Guo, Yuang Zhang
2024	A*	`conf`	LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. EMNLP Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Cheng Jiayang, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin
2024	J	`jnl`	LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. CoRR Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Ranran Haoran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Jiayang Cheng, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin
2024	—	`conf`	Mixture of Diverse Size Experts. EMNLP (Industry Track) Manxi Sun, Wei Liu, Jian Luan, Pengzhi Gao, Bin Wang
2024	J	`jnl`	Mixture of Diverse Size Experts. CoRR Manxi Sun, Wei Liu, Jian Luan, Pengzhi Gao, Bin Wang
2024	J	`jnl`	Towards Boosting Many-to-Many Multilingual Machine Translation with Large Language Models. CoRR Pengzhi Gao, Zhongjun He, Hua Wu, Haifeng Wang
2023	J	`jnl`	An Empirical Study of Consistency Regularization for End-to-End Speech-to-Text Translation. CoRR Pengzhi Gao, Ruiqing Zhang, Zhongjun He, Hua Wu, Haifeng Wang
2023	—	`conf`	Improving Zero-shot Multilingual Neural Machine Translation by Leveraging Cross-lingual Consistency Regularization. ACL (Findings) Pengzhi Gao, Liwen Zhang, Zhongjun He, Hua Wu, Haifeng Wang
2023	J	`jnl`	Improving Zero-shot Multilingual Neural Machine Translation by Leveraging Cross-lingual Consistency Regularization. CoRR Pengzhi Gao, Liwen Zhang, Zhongjun He, Hua Wu, Haifeng Wang
2023	—	`conf`	Learning Multilingual Sentence Representations with Cross-lingual Consistency Regularization. EMNLP (Industry Track) Pengzhi Gao, Liwen Zhang, Zhongjun He, Hua Wu, Haifeng Wang
2023	J	`jnl`	Learning Multilingual Sentence Representations with Cross-lingual Consistency Regularization. CoRR Pengzhi Gao, Liwen Zhang, Zhongjun He, Hua Wu, Haifeng Wang
2022	—	`conf`	Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation. NAACL-HLT Pengzhi Gao, Zhongjun He, Hua Wu, Haifeng Wang
2022	J	`jnl`	Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation. CoRR Pengzhi Gao, Zhongjun He, Hua Wu, Haifeng Wang
2022	—	`conf`	Multimodal Emotion Recognition Using CNN-SVM with Data Augmentation. BIBM Gengyuan Guo, Pengzhi Gao, Xiangwei Zheng, Cun Ji
2021	J	`jnl`	A Data-Centric Framework for Composable NLP Workflows. CoRR Zhengzhong Liu, Guanxiong Ding, Avinash Bukkittu, Mansi Gupta, Pengzhi Gao, Atif Ahmed, Shikun Zhang, Xin Gao, Swapnil Singhavi, Linwei Li, Wei Wei, Zecong Hu, Haoran Shi, Xiaodan Liang, Teruko Mitamura, Eric P. Xing, Zhiting Hu
2021	—	`conf`	Mixup Decoding for Diverse Machine Translation. EMNLP (Findings) Jicheng Li, Pengzhi Gao, Xuanfu Wu, Yang Feng, Zhongjun He, Hua Wu, Haifeng Wang
2021	J	`jnl`	Mixup Decoding for Diverse Machine Translation. CoRR Jicheng Li, Pengzhi Gao, Xuanfu Wu, Yang Feng, Zhongjun He, Hua Wu, Haifeng Wang
2021	—	`conf`	Robust Low-Rank Tensor Recovery From Quantized and Corrupted Measurements. ACSCC Ren Wang, Tianqi Chen, Zhe Xu, Pengzhi Gao
2020	—	`conf`	A Data-Centric Framework for Composable NLP Workflows. EMNLP (Demos) Zhengzhong Liu, Guanxiong Ding, Avinash Bukkittu, Mansi Gupta, Pengzhi Gao, Atif Ahmed, Shikun Zhang, Xin Gao, Swapnil Singhavi, Linwei Li, Wei Wei, Zecong Hu, Haoran Shi, Xiaodan Liang, Teruko Mitamura, Eric P. Xing, Zhiting Hu
2018	Misc	`conf`	Dynamic Matrix Recovery from Partially Observed and Erroneous Measurements. ICASSP Pengzhi Gao, Meng Wang
2018	J	`jnl`	Low-Rank Matrix Recovery From Noisy, Quantized, and Erroneous Measurements. IEEE Trans. Signal Process. Pengzhi Gao, Ren Wang, Meng Wang, Joe H. Chow
2017	J	`jnl`	Missing Data Recovery for High-Dimensional Signals With Nonlinear Low-Dimensional Structures. IEEE Trans. Signal Process. Pengzhi Gao, Meng Wang, Joe H. Chow, Matthew Berger, Lee M. Seversky
2016	J	`jnl`	Identification of Successive "Unobservable" Cyber Data Attacks in Power Systems Through Matrix Decomposition. CoRR Pengzhi Gao, Meng Wang, Joe H. Chow, Scott G. Ghiocel, Bruce Fardanesh, George Stefopoulos, Michael P. Razanousky
2016	J	`jnl`	Identification of Successive "Unobservable" Cyber Data Attacks in Power Systems Through Matrix Decomposition. IEEE Trans. Signal Process. Pengzhi Gao, Meng Wang, Joe H. Chow, Scott G. Ghiocel, Bruce Fardanesh, George Stefopoulos, Michael P. Razanousky
2016	Misc	`conf`	Low-rank matrix recovery from quantized and erroneous measurements: Accuracy-preserved data privatization in power grids. ACSSC Pengzhi Gao, Ren Wang, Meng Wang, Joe H. Chow
2015	—	`conf`	A Low-Rank Matrix Approach for the Analysis of Large Amounts of Power System Synchrophasor Data. HICSS Meng Wang, Joe H. Chow, Pengzhi Gao, Xinyu Tony Jiang, Yu Xia, Scott G. Ghiocel, Bruce Fardanesh, George Stefopoulos, Yutaka Kokai, Nao Saito, Michael P. Razanousky
2015	—	`conf`	Matrix completion with columns in union and sums of subspaces. GlobalSIP Pengzhi Gao, Meng Wang, Joe H. Chow, Matthew Berger, Lee M. Seversky
2014	—	`conf`	Identification of "unobservable" cyber data attacks on power grids. SmartGridComm Meng Wang, Pengzhi Gao, Scott G. Ghiocel, Joe H. Chow, Bruce Fardanesh, George Stefopoulos, Michael P. Razanousky