Hu Xu - RankMe

93 papers A* 19B 4Journal 55Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	VideoAuto-R1: Video Auto Reasoning via Thinking Once, Answering Twice. CoRR Shuming Liu, Mingchen Zhuge, Changsheng Zhao, Jun Chen, Lemeng Wu, Zechun Liu, Chenchen Zhu, Zhipeng Cai, Chong Zhou, Haozhe Liu, Ernie Chang, Saksham Suri, Hongyu Xu, Qi Qian, Wei Wen, Balakrishnan Varadarajan, Zhuang Liu, Hu Xu, Florian Bordes, Raghuraman Krishnamoorthi, Bernard Ghanem, Vikas Chandra, Yunyang Xiong
2025	A*	`conf`	DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment. CVPR Cijo Jose, Théo Moutakanni, Dahyun Kang, Federico Baldassarre, Timothée Darcet, Hu Xu, Daniel Li, Marc Szafraniec, Michaël Ramamonjisoa, Maxime Oquab, Oriane Siméoni, Huy V. Vo, Patrick Labatut, Piotr Bojanowski
2025	J	`jnl`	DepthLM: Metric Depth From Vision Language Models. CoRR Zhipeng Cai, Ching-Feng Yeh, Hu Xu, Zhuang Liu, Gregory P. Meyer, Xinjie Lei, Changsheng Zhao, Shang-Wen (Daniel) Li, Vikas Chandra, Yangyang Shi
2025	J	`jnl`	In Pursuit of Pixel Supervision for Visual Pre-training. CoRR Lihe Yang, Shang-wen Li, Yang Li, Xinjie Lei, Dong Wang, Abdelrahman Mohamed, Hengshuang Zhao, Hu Xu
2025	A*	`conf`	LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding. ICML Xiaoqian Shen, Yunyang Xiong, Changsheng Zhao, Lemeng Wu, Jun Chen, Chenchen Zhu, Zechun Liu, Fanyi Xiao, Balakrishnan Varadarajan, Florian Bordes, Zhuang Liu, Hu Xu, Hyunwoo J. Kim, Bilge Soran, Raghuraman Krishnamoorthi, Mohamed Elhoseiny, Vikas Chandra
2025	J	`jnl`	Matrix: Peer-to-Peer Multi-Agent Synthetic Data Generation Framework. CoRR Dong Wang, Yang Li, Ansong Ni, Ching-Feng Yeh, Youssef Emad, Xinjie Lei, Liam Robbins, Karthik Padthe, Hu Xu, Xian Li, Asli Celikyilmaz, Ramya Raghavendra, Lifei Huang, Carole-Jean Wu, Shang-wen Li
2025	J	`jnl`	Meta CLIP 2: A Worldwide Scaling Recipe. CoRR Yung-Sung Chuang, Yang Li, Dong Wang, Ching-Feng Yeh, Kehan Lyu, Ramya Raghavendra, James Glass, Lifei Huang, Jason Weston, Luke Zettlemoyer, Xinlei Chen, Zhuang Liu, Saining Xie, Wen-tau Yih, Shang-wen Li, Hu Xu
2025	J	`jnl`	Perception Encoder: The best visual embeddings are not at the output of the network. CoRR Daniel Bolya, Po-Yao Huang, Peize Sun, Jang Hyun Cho, Andrea Madotto, Chen Wei, Tengyu Ma, Jiale Zhi, Jathushan Rajasegaran, Hanoona Rasheed, Junke Wang, Marco Monteiro, Hu Xu, Shiyu Dong, Nikhila Ravi, Daniel Li, Piotr Dollár, Christoph Feichtenhofer
2025	A*	`conf`	SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models. ICML Yung-Sung Chuang, Benjamin Cohen-Wang, Zejiang Shen, Zhaofeng Wu, Hu Xu, Xi Victoria Lin, James R. Glass, Shang-wen Li, Wen-tau Yih
2025	J	`jnl`	SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models. CoRR Yung-Sung Chuang, Benjamin Cohen-Wang, Shannon Zejiang Shen, Zhaofeng Wu, Hu Xu, Xi Victoria Lin, James R. Glass, Shang-wen Li, Wen-tau Yih
2025	J	`jnl`	Text Quality-Based Pruning for Efficient Training of Language Models. J. Data-centric Mach. Learn. Res. Vasu Sharma, Karthik Padthe, Newsha Ardalani, Kushal Tirumala, Russell Howes, Hu Xu, Po-Yao Huang, Daniel Li Chen, Armen Aghajanyan, Gargi Ghosh, Luke Zettlemoyer
2024	A*	`conf`	Altogether: Image Captioning via Re-aligning Alt-text. EMNLP Hu Xu, Po-Yao Huang, Xiaoqing Ellen Tan, Ching-Feng Yeh, Jacob Kahn, Christine Jou, Gargi Ghosh, Omer Levy, Luke Zettlemoyer, Wen-tau Yih, Shang-wen Li, Saining Xie, Christoph Feichtenhofer
2024	J	`jnl`	Altogether: Image Captioning via Re-aligning Alt-text. CoRR Hu Xu, Po-Yao Huang, Xiaoqing Ellen Tan, Ching-Feng Yeh, Jacob Kahn, Christine Jou, Gargi Ghosh, Omer Levy, Luke Zettlemoyer, Wen-tau Yih, Shang-wen Li, Saining Xie, Christoph Feichtenhofer
2024	J	`jnl`	An Introduction to Vision-Language Modeling. CoRR Florian Bordes, Richard Yuanzhe Pang, Anurag Ajay, Alexander C. Li, Adrien Bardes, Suzanne Petryk, Oscar Mañas, Zhiqiu Lin, Anas Mahmoud, Bargav Jayaraman, Mark Ibrahim, Melissa Hall, Yunyang Xiong, Jonathan Lebensold, Candace Ross, Srihari Jayakumar, Chuan Guo, Diane Bouchacourt, Haider Al-Tahan, Karthik Padthe, Vasu Sharma, Hu Xu, Xiaoqing Ellen Tan, Megan Richards, Samuel Lavoie, Pietro Astolfi, Reyhane Askari Hemmat, Jun Chen, Kushal Tirumala, Rim Assouel, Mazda Moayeri, Arjang Talattof, Kamalika Chaudhuri, Zechun Liu, Xilun Chen, Quentin Garrido, Karen Ullrich, Aishwarya Agrawal, Kate Saenko, Asli Celikyilmaz, Vikas Chandra
2024	J	`jnl`	Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM. CoRR Sainbayar Sukhbaatar, Olga Golovneva, Vasu Sharma, Hu Xu, Xi Victoria Lin, Baptiste Rozière, Jacob Kahn, Daniel Li, Wen-tau Yih, Jason Weston, Xian Li
2024	J	`jnl`	DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment. CoRR Cijo Jose, Théo Moutakanni, Dahyun Kang, Federico Baldassarre, Timothée Darcet, Hu Xu, Daniel Li, Marc Szafraniec, Michaël Ramamonjisoa, Maxime Oquab, Oriane Siméoni, Huy V. Vo, Patrick Labatut, Piotr Bojanowski
2024	J	`jnl`	DINOv2: Learning Robust Visual Features without Supervision. Trans. Mach. Learn. Res. Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy V. Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, Mido Assran, Nicolas Ballas, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-wen Li, Ishan Misra, Michael Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Hervé Jégou, Julien Mairal, Patrick Labatut, Armand Joulin, Piotr Bojanowski
2024	A*	`conf`	Demystifying CLIP Data. ICLR Hu Xu, Saining Xie, Xiaoqing Ellen Tan, Po-Yao Huang, Russell Howes, Vasu Sharma, Shang-wen Li, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer
2024	J	`jnl`	LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding. CoRR Xiaoqian Shen, Yunyang Xiong, Changsheng Zhao, Lemeng Wu, Jun Chen, Chenchen Zhu, Zechun Liu, Fanyi Xiao, Balakrishnan Varadarajan, Florian Bordes, Zhuang Liu, Hu Xu, Hyunwoo J. Kim, Bilge Soran, Raghuraman Krishnamoorthi, Mohamed Elhoseiny, Vikas Chandra
2024	A*	`conf`	MoDE: CLIP Data Experts via Clustering. CVPR Jiawei Ma, Po-Yao Huang, Saining Xie, Shang-wen Li, Luke Zettlemoyer, Shih-Fu Chang, Wen-tau Yih, Hu Xu
2024	J	`jnl`	MoDE: CLIP Data Experts via Clustering. CoRR Jiawei Ma, Po-Yao Huang, Saining Xie, Shang-wen Li, Luke Zettlemoyer, Shih-Fu Chang, Wen-tau Yih, Hu Xu
2024	J	`jnl`	Text Quality-Based Pruning for Efficient Training of Language Models. CoRR Vasu Sharma, Karthik Padthe, Newsha Ardalani, Kushal Tirumala, Russell Howes, Hu Xu, Po-Yao Huang, Shang-wen Li, Armen Aghajanyan, Gargi Ghosh, Luke Zettlemoyer
2023	J	`jnl`	Adapting a Language Model While Preserving its General Knowledge. CoRR Zixuan Ke, Yijia Shao, Haowei Lin, Hu Xu, Lei Shu, Bing Liu
2023	A*	`conf`	CiT: Curation in Training for Effective Vision-Language Data. ICCV Hu Xu, Saining Xie, Po-Yao Huang, Licheng Yu, Russell Howes, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer
2023	J	`jnl`	CiT: Curation in Training for Effective Vision-Language Data. CoRR Hu Xu, Saining Xie, Po-Yao Huang, Licheng Yu, Russell Howes, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer
2023	J	`jnl`	DINOv2: Learning Robust Visual Features without Supervision. CoRR Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy V. Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, Mahmoud Assran, Nicolas Ballas, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-wen Li, Ishan Misra, Michael G. Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Hervé Jégou, Julien Mairal, Patrick Labatut, Armand Joulin, Piotr Bojanowski
2023	J	`jnl`	Demystifying CLIP Data. CoRR Hu Xu, Saining Xie, Xiaoqing Ellen Tan, Po-Yao Huang, Russell Howes, Vasu Sharma, Shang-wen Li, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer
2023	A*	`conf`	Diffusion Models as Masked Autoencoders. ICCV Chen Wei, Karttikeya Mangalam, Po-Yao Huang, Yanghao Li, Haoqi Fan, Hu Xu, Huiyu Wang, Cihang Xie, Alan L. Yuille, Christoph Feichtenhofer
2023	J	`jnl`	Diffusion Models as Masked Autoencoders. CoRR Chen Wei, Karttikeya Mangalam, Po-Yao Huang, Yanghao Li, Haoqi Fan, Hu Xu, Huiyu Wang, Cihang Xie, Alan L. Yuille, Christoph Feichtenhofer
2023	A*	`conf`	MAViL: Masked Audio-Video Learners. NeurIPS Po-Yao Huang, Vasu Sharma, Hu Xu, Chaitanya Ryali, Haoqi Fan, Yanghao Li, Shang-wen Li, Gargi Ghosh, Jitendra Malik, Christoph Feichtenhofer
2022	A*	`conf`	Adapting a Language Model While Preserving its General Knowledge. EMNLP Zixuan Ke, Yijia Shao, Haowei Lin, Hu Xu, Lei Shu, Bing Liu
2022	J	`jnl`	CM3: A Causal Masked Multimodal Model of the Internet. CoRR Armen Aghajanyan, Bernie Huang, Candace Ross, Vladimir Karpukhin, Hu Xu, Naman Goyal, Dmytro Okhonko, Mandar Joshi, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer
2022	A*	`conf`	Continual Training of Language Models for Few-Shot Learning. EMNLP Zixuan Ke, Haowei Lin, Yijia Shao, Hu Xu, Lei Shu, Bing Liu
2022	J	`jnl`	Continual Training of Language Models for Few-Shot Learning. CoRR Zixuan Ke, Haowei Lin, Yijia Shao, Hu Xu, Lei Shu, Bing Liu
2022	A*	`conf`	HTLM: Hyper-Text Pre-Training and Prompting of Language Models. ICLR Armen Aghajanyan, Dmytro Okhonko, Mike Lewis, Mandar Joshi, Hu Xu, Gargi Ghosh, Luke Zettlemoyer
2022	J	`jnl`	MAViL: Masked Audio-Video Learners. CoRR Po-Yao Huang, Vasu Sharma, Hu Xu, Chaitanya Ryali, Haoqi Fan, Yanghao Li, Shang-wen Li, Gargi Ghosh, Jitendra Malik, Christoph Feichtenhofer
2022	A*	`conf`	Masked Autoencoders that Listen. NeurIPS Po-Yao Huang, Hu Xu, Juncheng Li, Alexei Baevski, Michael Auli, Wojciech Galuba, Florian Metze, Christoph Feichtenhofer
2022	J	`jnl`	Masked Autoencoders that Listen. CoRR Po-Yao Huang, Hu Xu, Juncheng Li, Alexei Baevski, Michael Auli, Wojciech Galuba, Florian Metze, Christoph Feichtenhofer
2022	J	`jnl`	Zero-Shot Aspect-Based Sentiment Analysis. CoRR Lei Shu, Hu Xu, Bing Liu, Jiahua Chen
2021	A*	`conf`	Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning. NeurIPS Zixuan Ke, Bing Liu, Nianzu Ma, Hu Xu, Lei Shu
2021	J	`jnl`	Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning. CoRR Zixuan Ke, Bing Liu, Nianzu Ma, Hu Xu, Lei Shu
2021	—	`conf`	Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks. NAACL-HLT Zixuan Ke, Hu Xu, Bing Liu
2021	J	`jnl`	Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks. CoRR Zixuan Ke, Hu Xu, Bing Liu
2021	—	`conf`	CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks. EMNLP (1) Zixuan Ke, Bing Liu, Hu Xu, Lei Shu
2021	J	`jnl`	CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks. CoRR Zixuan Ke, Bing Liu, Hu Xu, Lei Shu
2021	J	`jnl`	HTLM: Hyper-Text Pre-Training and Prompting of Language Models. CoRR Armen Aghajanyan, Dmytro Okhonko, Mike Lewis, Mandar Joshi, Hu Xu, Gargi Ghosh, Luke Zettlemoyer
2021	—	`conf`	NUANCED: Natural Utterance Annotation for Nuanced Conversation with Estimated Distributions. EMNLP (Findings) Zhiyu Chen, Honglei Liu, Hu Xu, Seungwhan Moon, Hao Zhou, Bing Liu
2021	—	`conf`	VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding. ACL/IJCNLP (Findings) Hu Xu, Gargi Ghosh, Po-Yao Huang, Prahal Arora, Masoumeh Aminzadeh, Christoph Feichtenhofer, Florian Metze, Luke Zettlemoyer
2021	J	`jnl`	VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding. CoRR Hu Xu, Gargi Ghosh, Po-Yao Huang, Prahal Arora, Masoumeh Aminzadeh, Christoph Feichtenhofer, Florian Metze, Luke Zettlemoyer
2021	—	`conf`	VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding. EMNLP (1) Hu Xu, Gargi Ghosh, Po-Yao Huang, Dmytro Okhonko, Armen Aghajanyan, Florian Metze, Luke Zettlemoyer, Christoph Feichtenhofer
2021	J	`jnl`	VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding. CoRR Hu Xu, Gargi Ghosh, Po-Yao Huang, Dmytro Okhonko, Armen Aghajanyan, Florian Metze, Luke Zettlemoyer, Christoph Feichtenhofer
2020	—	`conf`	Controllable Text Generation with Focused Variation. EMNLP (Findings) Lei Shu, Alexandros Papangelis, Yi-Chia Wang, Gökhan Tür, Hu Xu, Zhaleh Feizollahi, Bing Liu, Piero Molino
2020	J	`jnl`	Controllable Text Generation with Focused Variation. CoRR Lei Shu, Alexandros Papangelis, Yi-Chia Wang, Gökhan Tür, Hu Xu, Zhaleh Feizollahi, Bing Liu, Piero Molino
2020	—	`conf`	DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis. EMNLP (Findings) Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
2020	J	`jnl`	DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis. CoRR Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
2020	J	`jnl`	NUANCED: Natural Utterance Annotation for Nuanced Conversation with Estimated Distributions. CoRR Zhiyu Chen, Honglei Liu, Hu Xu, Seungwhan Moon, Hao Zhou, Bing Liu
2020	B	`conf`	Understanding Pre-trained BERT for Aspect-based Sentiment Analysis. COLING Hu Xu, Lei Shu, Philip S. Yu, Bing Liu
2020	J	`jnl`	Understanding Pre-trained BERT for Aspect-based Sentiment Analysis. CoRR Hu Xu, Lei Shu, Philip S. Yu, Bing Liu
2020	B	`conf`	User Memory Reasoning for Conversational Recommendation. COLING Hu Xu, Seungwhan Moon, Honglei Liu, Bing Liu, Pararth Shah, Philip S. Yu
2020	J	`jnl`	User Memory Reasoning for Conversational Recommendation. CoRR Hu Xu, Seungwhan Moon, Honglei Liu, Bing Liu, Pararth Shah, Bing Liu, Philip S. Yu
2019	J	`jnl`	A Failure of Aspect Sentiment Classifiers and an Adaptive Re-weighting Solution. CoRR Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
2019	—	`conf`	BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis. NAACL-HLT (1) Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
2019	J	`jnl`	BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis. CoRR Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
2019	J	`jnl`	Controlled CNN-based Sequence Labeling for Aspect Extraction. CoRR Lei Shu, Hu Xu, Bing Liu
2019	B	`conf`	Flexibly-Structured Model for Task-Oriented Dialogues. SIGdial Lei Shu, Piero Molino, Mahdi Namazifar, Hu Xu, Bing Liu, Huaixiu Zheng, Gökhan Tür
2019	J	`jnl`	Flexibly-Structured Model for Task-Oriented Dialogues. CoRR Lei Shu, Piero Molino, Mahdi Namazifar, Hu Xu, Bing Liu, Huaixiu Zheng, Gökhan Tür
2019	—	`conf`	Modeling Multi-Action Policy for Task-Oriented Dialogues. EMNLP/IJCNLP (1) Lei Shu, Hu Xu, Bing Liu, Piero Molino
2019	J	`jnl`	Modeling Multi-Action Policy for Task-Oriented Dialogues. CoRR Lei Shu, Hu Xu, Bing Liu, Piero Molino
2019	A*	`conf`	Open-world Learning and Application to Product Classification. WWW Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
2019	J	`jnl`	Review Conversational Reading Comprehension. CoRR Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
2018	—	`conf`	Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction. ACL (2) Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
2018	J	`jnl`	Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction. CoRR Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
2018	A*	`conf`	Dual Attention Network for Product Compatibility and Function Satisfiability Analysis. AAAI Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu
2018	J	`jnl`	Learning to Accept New Classes without Training. CoRR Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
2018	A*	`conf`	Lifelong Domain Word Embedding via Meta-Learning. IJCAI Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
2018	J	`jnl`	Lifelong Domain Word Embedding via Meta-Learning. CoRR Hu Xu, Bing Liu, Lei Shu, Philip S. Yu
2018	J	`jnl`	Unseen Class Discovery in Open-world Classification. CoRR Lei Shu, Hu Xu, Bing Liu
2017	A*	`conf`	DOC: Deep Open Classification of Text Documents. EMNLP Lei Shu, Hu Xu, Bing Liu
2017	J	`jnl`	DOC: Deep Open Classification of Text Documents. CoRR Lei Shu, Hu Xu, Bing Liu
2017	J	`jnl`	Dual Attention Network for Product Compatibility and Function Satisfiability Analysis. CoRR Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu
2017	—	`conf`	Lifelong Learning CRF for Supervised Aspect Extraction. ACL (2) Lei Shu, Hu Xu, Bing Liu
2017	J	`jnl`	Lifelong Learning CRF for Supervised Aspect Extraction. CoRR Lei Shu, Hu Xu, Bing Liu
2017	J	`jnl`	Product Function Need Recognition via Semi-supervised Attention Network. CoRR Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu
2017	—	`conf`	Product function need recognition via semi-supervised attention network. IEEE BigData Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu
2017	J	`jnl`	Supervised Complementary Entity Recognition with Augmented Key-value Pairs of Knowledge. CoRR Hu Xu, Lei Shu, Philip S. Yu
2016	J	`jnl`	CER: Complementary Entity Recognition via Knowledge Expansion on Large Unlabeled Product Reviews. CoRR Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu
2016	—	`conf`	CER: Complementary entity recognition via knowledge expansion on large unlabeled product reviews. IEEE BigData Hu Xu, Sihong Xie, Lei Shu, Philip S. Yu
2016	A*	`conf`	Lifelong-RL: Lifelong Relaxation Labeling for Separating Entities and Aspects in Opinion Targets. EMNLP Lei Shu, Bing Liu, Hu Xu, Annice Kim
2016	J	`jnl`	Mining Compatible/Incompatible Entities from Question and Answering via Yes/No Answer Classification using Distant Label Expansion. CoRR Hu Xu, Lei Shu, Jingyuan Zhang, Philip S. Yu
2016	J	`jnl`	Supervised Opinion Aspect Extraction by Exploiting Past Extraction Results. CoRR Lei Shu, Bing Liu, Hu Xu, Annice Kim
2013	—	`conf`	High-speed and accurate laser scan matching using classified features. ROSE Lei Shu, Hu Xu, May Huang
2013	B	`conf`	Planning Paths with Fewer Turns on Grid Maps. SOCS Hu Xu, Lei Shu, May Huang
2011	—	`conf`	Accuracy Analysis of Power Characterization and Modeling. ICHIT (1) Xiaolan Bai, Hu Xu, May Huang