Accuracy Analysis of Power Characterization and Modeling. - Xiaolan Bai; Hu Xu 001; May Huang (ICHIT (1), 2011)

High-speed and accurate laser scan matching using classified features. - Lei Shu 004; Hu Xu 001; May Huang (ROSE, 2013)

Planning Paths with Fewer Turns on Grid Maps. - Hu Xu 001; Lei Shu 004; May Huang (SOCS, 2013)

CER: Complementary entity recognition via knowledge expansion on large unlabeled product reviews. - Hu Xu 001; Sihong Xie; Lei Shu 004; Philip S. Yu (IEEE BigData, 2016)

Lifelong-RL: Lifelong Relaxation Labeling for Separating Entities and Aspects in Opinion Targets. - Lei Shu 004; Bing Liu 001; Hu Xu 001; Annice Kim (EMNLP, 2016)

Supervised Opinion Aspect Extraction by Exploiting Past Extraction Results. - Lei Shu 004; Bing Liu 001; Hu Xu 001; Annice Kim (CoRR, 2016)

Mining Compatible/Incompatible Entities from Question and Answering via Yes/No Answer Classification using Distant Label Expansion. - Hu Xu 001; Lei Shu 004; Jingyuan Zhang; Philip S. Yu (CoRR, 2016)

Lifelong Learning CRF for Supervised Aspect Extraction. - Lei Shu 004; Hu Xu 001; Bing Liu 001 (ACL (2), 2017)

Product function need recognition via semi-supervised attention network. - Hu Xu 001; Sihong Xie; Lei Shu 004; Philip S. Yu (IEEE BigData, 2017)

DOC: Deep Open Classification of Text Documents. - Lei Shu 004; Hu Xu 001; Bing Liu 001 (EMNLP, 2017)

Supervised Complementary Entity Recognition with Augmented Key-value Pairs of Knowledge. - Hu Xu 001; Lei Shu 004; Philip S. Yu (CoRR, 2017)

Dual Attention Network for Product Compatibility and Function Satisfiability Analysis. - Hu Xu 001; Sihong Xie; Lei Shu 004; Philip S. Yu (AAAI, 2018)

Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction. - Hu Xu 001; Bing Liu 001; Lei Shu 004; Philip S. Yu (ACL (2), 2018)

Lifelong Domain Word Embedding via Meta-Learning. - Hu Xu 001; Bing Liu 001; Lei Shu 004; Philip S. Yu (IJCAI, 2018)

Unseen Class Discovery in Open-world Classification. - Lei Shu 004; Hu Xu 001; Bing Liu 001 (CoRR, 2018)

Learning to Accept New Classes without Training. - Hu Xu 001; Bing Liu 001; Lei Shu 004; Philip S. Yu (CoRR, 2018)

Modeling Multi-Action Policy for Task-Oriented Dialogues. - Lei Shu 004; Hu Xu 001; Bing Liu 001; Piero Molino (EMNLP/IJCNLP (1), 2019)

BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis. - Hu Xu 001; Bing Liu 001; Lei Shu 004; Philip S. Yu (NAACL-HLT (1), 2019)

Flexibly-Structured Model for Task-Oriented Dialogues. - Lei Shu 004; Piero Molino; Mahdi Namazifar; Hu Xu 001; Bing Liu 001; Huaixiu Zheng; Gökhan Tür (SIGdial, 2019)

Open-world Learning and Application to Product Classification. - Hu Xu 001; Bing Liu 001; Lei Shu 004; Philip S. Yu (WWW, 2019)

Review Conversational Reading Comprehension. - Hu Xu 001; Bing Liu 001; Lei Shu 004; Philip S. Yu (CoRR, 2019)

Controlled CNN-based Sequence Labeling for Aspect Extraction. - Lei Shu 004; Hu Xu 001; Bing Liu 001 (CoRR, 2019)

A Failure of Aspect Sentiment Classifiers and an Adaptive Re-weighting Solution. - Hu Xu 001; Bing Liu 001; Lei Shu 004; Philip S. Yu (CoRR, 2019)

User Memory Reasoning for Conversational Recommendation. - Hu Xu 001; Seungwhan Moon; Honglei Liu 001; Bing Liu 024; Pararth Shah; Philip S. Yu (COLING, 2020)

Understanding Pre-trained BERT for Aspect-based Sentiment Analysis. - Hu Xu 001; Lei Shu 004; Philip S. Yu; Bing Liu 001 (COLING, 2020)

Controllable Text Generation with Focused Variation. - Lei Shu 004; Alexandros Papangelis; Yi-Chia Wang; Gökhan Tür; Hu Xu 001; Zhaleh Feizollahi; Bing Liu 001; Piero Molino (EMNLP (Findings), 2020)

DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis. - Hu Xu 001; Bing Liu 001; Lei Shu 004; Philip S. Yu (EMNLP (Findings), 2020)

User Memory Reasoning for Conversational Recommendation. - Hu Xu 001; Seungwhan Moon; Honglei Liu 001; Bing Liu 024; Pararth Shah; Bing Liu 001; Philip S. Yu (CoRR, 2020)

VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding. - Hu Xu 001; Gargi Ghosh; Po-Yao Huang 001; Prahal Arora; Masoumeh Aminzadeh; Christoph Feichtenhofer; Florian Metze; Luke Zettlemoyer (ACL/IJCNLP (Findings), 2021)

NUANCED: Natural Utterance Annotation for Nuanced Conversation with Estimated Distributions. - Zhiyu Chen 002; Honglei Liu 001; Hu Xu 001; Seungwhan Moon; Hao Zhou; Bing Liu 024 (EMNLP (Findings), 2021)

CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks. - Zixuan Ke; Bing Liu 001; Hu Xu 001; Lei Shu 004 (EMNLP (1), 2021)

VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding. - Hu Xu 001; Gargi Ghosh; Po-Yao Huang 001; Dmytro Okhonko; Armen Aghajanyan; Florian Metze; Luke Zettlemoyer; Christoph Feichtenhofer (EMNLP (1), 2021)

Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks. - Zixuan Ke; Hu Xu 001; Bing Liu 001 (NAACL-HLT, 2021)

Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning. - Zixuan Ke; Bing Liu 001; Nianzu Ma; Hu Xu 001; Lei Shu 004 (NeurIPS, 2021)

Continual Training of Language Models for Few-Shot Learning. - Zixuan Ke; Haowei Lin; Yijia Shao; Hu Xu 001; Lei Shu 004; Bing Liu 001 (EMNLP, 2022)

Adapting a Language Model While Preserving its General Knowledge. - Zixuan Ke; Yijia Shao; Haowei Lin; Hu Xu 001; Lei Shu 004; Bing Liu 001 (EMNLP, 2022)

HTLM: Hyper-Text Pre-Training and Prompting of Language Models. - Armen Aghajanyan; Dmytro Okhonko; Mike Lewis; Mandar Joshi; Hu Xu 001; Gargi Ghosh; Luke Zettlemoyer (ICLR, 2022)

Masked Autoencoders that Listen. - Po-Yao Huang 001; Hu Xu 001; Juncheng Li 001; Alexei Baevski; Michael Auli; Wojciech Galuba; Florian Metze; Christoph Feichtenhofer (NeurIPS, 2022)

CM3: A Causal Masked Multimodal Model of the Internet. - Armen Aghajanyan; Bernie Huang; Candace Ross; Vladimir Karpukhin; Hu Xu 001; Naman Goyal 001; Dmytro Okhonko; Mandar Joshi; Gargi Ghosh; Mike Lewis; Luke Zettlemoyer (CoRR, 2022)

Zero-Shot Aspect-Based Sentiment Analysis. - Lei Shu 004; Hu Xu 001; Bing Liu 001; Jiahua Chen (CoRR, 2022)

CiT: Curation in Training for Effective Vision-Language Data. - Hu Xu 001; Saining Xie; Po-Yao Huang 001; Licheng Yu; Russell Howes; Gargi Ghosh; Luke Zettlemoyer; Christoph Feichtenhofer (ICCV, 2023)

Diffusion Models as Masked Autoencoders. - Chen Wei 005; Karttikeya Mangalam; Po-Yao Huang 001; Yanghao Li; Haoqi Fan 001; Hu Xu 001; Huiyu Wang; Cihang Xie; Alan L. Yuille; Christoph Feichtenhofer (ICCV, 2023)

MAViL: Masked Audio-Video Learners. - Po-Yao Huang 001; Vasu Sharma; Hu Xu 001; Chaitanya Ryali; Haoqi Fan 001; Yanghao Li; Shang-Wen Li 001; Gargi Ghosh; Jitendra Malik; Christoph Feichtenhofer (NeurIPS, 2023)

MoDE: CLIP Data Experts via Clustering. - Jiawei Ma; Po-Yao Huang 001; Saining Xie; Shang-Wen Li 001; Luke Zettlemoyer; Shih-Fu Chang; Wen-Tau Yih; Hu Xu 001 (CVPR, 2024)

Altogether: Image Captioning via Re-aligning Alt-text. - Hu Xu 001; Po-Yao Huang 001; Xiaoqing Ellen Tan; Ching-Feng Yeh; Jacob Kahn; Christine Jou; Gargi Ghosh; Omer Levy; Luke Zettlemoyer; Wen-tau Yih; Shang-Wen Li 001; Saining Xie; et al. (EMNLP, 2024)

Demystifying CLIP Data. - Hu Xu 001; Saining Xie; Xiaoqing Ellen Tan; Po-Yao Huang 001; Russell Howes; Vasu Sharma; Shang-Wen Li 001; Gargi Ghosh; Luke Zettlemoyer; Christoph Feichtenhofer (ICLR, 2024)

Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM. - Sainbayar Sukhbaatar; Olga Golovneva; Vasu Sharma; Hu Xu 001; Xi Victoria Lin; Baptiste Rozière; Jacob Kahn; Daniel Li 006; Wen-tau Yih; Jason Weston; Xian Li 003 (CoRR, 2024)

Text Quality-Based Pruning for Efficient Training of Language Models. - Vasu Sharma; Karthik Padthe; Newsha Ardalani; Kushal Tirumala; Russell Howes; Hu Xu 001; Po-Yao Huang 001; Shang-Wen Li 001; Armen Aghajanyan; Gargi Ghosh; Luke Zettlemoyer (CoRR, 2024)

An Introduction to Vision-Language Modeling. - Florian Bordes; Richard Yuanzhe Pang; Anurag Ajay; Alexander C. Li; Adrien Bardes; Suzanne Petryk; Oscar Mañas; Zhiqiu Lin; Anas Mahmoud 002; Bargav Jayaraman; Mark Ibrahim; Melissa Hall; et al. (CoRR, 2024)

The Llama 3 Herd of Models. - Abhimanyu Dubey; Abhinav Jauhri; Abhinav Pandey; Abhishek Kadian; Ahmad Al-Dahle; Aiesha Letman; Akhil Mathur; Alan Schelten; Amy Yang; Angela Fan; Anirudh Goyal; Anthony Hartshorn; et al. (CoRR, 2024)

LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding. - Xiaoqian Shen; Yunyang Xiong; Changsheng Zhao 002; Lemeng Wu; Jun Chen 021; Chenchen Zhu; Zechun Liu; Fanyi Xiao; Balakrishnan Varadarajan; Florian Bordes; Zhuang Liu; Hu Xu 001; et al. (CoRR, 2024)

DINOv2: Learning Robust Visual Features without Supervision. - 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; et al. (Trans. Mach. Learn. Res., 2024)

DINOv2 Meets Text: A Unified Framework for Image- and Pixel-Level Vision-Language Alignment. - Cijo Jose; Théo Moutakanni; Dahyun Kang; Federico Baldassarre; Timothée Darcet; Hu Xu 001; Daniel Li 006; Marc Szafraniec; Michaël Ramamonjisoa; Maxime Oquab; Oriane Siméoni; Huy V. Vo; et al. (CVPR, 2025)

SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models. - Yung-Sung Chuang; Benjamin Cohen-Wang; Shannon Zejiang Shen; Zhaofeng Wu; Hu Xu 001; Xi Victoria Lin; James R. Glass; Shang-wen Li 001; Wen-tau Yih (CoRR, 2025)

Perception Encoder: The best visual embeddings are not at the output of the network. - Daniel Bolya; Po-Yao Huang 001; Peize Sun; Jang Hyun Cho; Andrea Madotto; Chen Wei 005; Tengyu Ma 005; Jiale Zhi; Jathushan Rajasegaran; Hanoona Rasheed; Junke Wang; Marco Monteiro; et al. (CoRR, 2025)

Meta CLIP 2: A Worldwide Scaling Recipe. - Yung-Sung Chuang; Yang Li; Dong Wang; Ching-Feng Yeh; Kehan Lyu; Ramya Raghavendra; James Glass 001; Lifei Huang; Jason Weston; Luke Zettlemoyer; Xinlei Chen; Zhuang Liu; et al. (CoRR, 2025)