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)

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)

Continual Learning with Knowledge Transfer for Sentiment Classification. - Zixuan Ke; Bing Liu 001; Hao Wang 008; Lei Shu 004 (ECML/PKDD (3), 2020)

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

ODIST: Open World Classification via Distributionally Shifted Instances. - Lei Shu 004; Yassine Benajiba; Saab Mansour; Yi Zhang (EMNLP (Findings), 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)

Zero-Shot Open Set Detection by Extending CLIP. - Sepideh Esmaeilpour; Bing Liu 001; Eric Robertson 001; Lei Shu 004 (CoRR, 2021)

TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning. - Yixuan Su; Fangyu Liu 001; Zaiqiao Meng; Lei Shu 004; Ehsan Shareghi; Nigel Collier (CoRR, 2021)

Zero-Shot Out-of-Distribution Detection Based on the Pre-trained Model CLIP. - Sepideh Esmaeilpour; Bing Liu 001; Eric Robertson 001; Lei Shu 004 (AAAI, 2022)

Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System. - Yixuan Su; Lei Shu 004; Elman Mansimov; Arshit Gupta; Deng Cai 002; Yi-An Lai; Yi Zhang (ACL (1), 2022)

Open Set Recognition Via Augmentation-Based Similarity Learning. - Sepideh Esmaeilpour; Lei Shu 004; Bing Liu 001 (CoLLAs, 2022)

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)

TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning. - Yixuan Su; Fangyu Liu 001; Zaiqiao Meng; Tian Lan 003; Lei Shu 004; Ehsan Shareghi; Nigel Collier (NAACL-HLT (Findings), 2022)

Measuring and Reducing Model Update Regression in Structured Prediction for NLP. - Deng Cai 002; Elman Mansimov; Yi-An Lai; Yixuan Su; Lei Shu 004; Yi Zhang (NeurIPS, 2022)

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

An Efficient Conversational Smart Compose System. - Yun Zhu; Xiayu Chen; Lei Shu 004; Bowen Tan; Xinying Song; Lijuan Liu; Maria Wang; Jindong Chen; Ning Ruan (ACL (demo), 2023)

RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting. - Lei Shu 004; Liangchen Luo; Jayakumar Hoskere; Yun Zhu; Canoee Liu; Simon Tong; Jindong Chen; Lei Meng 008 (CoRR, 2023)

Critique Ability of Large Language Models. - Liangchen Luo; Zi Lin; Yinxiao Liu; Lei Shu 004; Yun Zhu; Jingbo Shang; Lei Meng 008 (CoRR, 2023)

SiRA: Sparse Mixture of Low Rank Adaptation. - Yun Zhu; Nevan Wichers; Chu-Cheng Lin; Xinyi Wang 001; Tianlong Chen 001; Lei Shu 004; Han Lu; Canoee Liu; Liangchen Luo; Jindong Chen; Lei Meng 008 (CoRR, 2023)

Fusion-Eval: Integrating Evaluators with LLMs. - Lei Shu 004; Nevan Wichers; Liangchen Luo; Yun Zhu; Yinxiao Liu; Jindong Chen; Lei Meng 008 (CoRR, 2023)

RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting. - Lei Shu 004; Liangchen Luo; Jayakumar Hoskere; Yun Zhu; Yinxiao Liu; Simon Tong; Jindong Chen; Lei Meng 008 (AAAI, 2024)

Fusion-Eval: Integrating Assistant Evaluators with LLMs. - Lei Shu 004; Nevan Wichers; Liangchen Luo; Yun Zhu; Yinxiao Liu; Jindong Chen; Lei Meng 008 (EMNLP (Industry Track), 2024)

Enhancing Reinforcement Learning with Dense Rewards from Language Model Critic. - Meng Cao; Lei Shu 004; Lei Yu; Yun Zhu; Nevan Wichers; Yinxiao Liu; Lei Meng 008 (EMNLP, 2024)

Towards an On-device Agent for Text Rewriting. - Yun Zhu; Yinxiao Liu; Felix Stahlberg; Shankar Kumar; Yu-Hui Chen; Liangchen Luo; Lei Shu 004; Renjie Liu; Jindong Chen; Lei Meng 008 (NAACL-HLT (Findings), 2024)

DRLC: Reinforcement Learning with Dense Rewards from LLM Critic. - Meng Cao; Lei Shu 004; Lei Yu; Yun Zhu; Nevan Wichers; Yinxiao Liu; Lei Meng 008 (CoRR, 2024)

Improve Mathematical Reasoning in Language Models by Automated Process Supervision. - Liangchen Luo; Yinxiao Liu; Rosanne Liu; Samrat Phatale; Harsh Lara; Yunxuan Li; Lei Shu 004; Yun Zhu; Lei Meng 008; Jiao Sun; Abhinav Rastogi (CoRR, 2024)

WebQuest: A Benchmark for Multimodal QA on Web Page Sequences. - Maria Wang; Srinivas Sunkara; Gilles Baechler; Jason Lin; Yun Zhu; Fedir Zubach; Lei Shu 004; Jindong Chen (CoRR, 2024)

Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection. - Yun Zhu; Jia-Chen Gu; Caitlin Sikora; Ho Ko; Yinxiao Liu; Chu-Cheng Lin; Lei Shu 004; Liangchen Luo; Lei Meng 008; Bang Liu; Jindong Chen (ICLR, 2025)