Lifeng Shang

According to our database, Lifeng Shang authored at least 105 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Does the Generator Mind its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer.

Xinshuo Hu, Baotian Hu, Dongfang Li, Xiaoguang Li, Lifeng Shang

CoRR, 2024

Learning to Edit: Aligning LLMs with Knowledge Editing.

Yuxin Jiang, Yufei Wang, Chuhan Wu, Wanjun Zhong, Xingshan Zeng, Jiahui Gao, Liangyou Li, Xin Jiang, Lifeng Shang, Ruiming Tang, Qun Liu, Wei Wang

CoRR, 2024

Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios.

Shijue Huang, Wanjun Zhong, Jianqiao Lu, Qi Zhu, Jiahui Gao, Weiwen Liu, Yutai Hou, Xingshan Zeng, Yasheng Wang, Lifeng Shang, Xin Jiang, Ruifeng Xu, Qun Liu

CoRR, 2024

MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language Models.

Wai-Chung Kwan, Xingshan Zeng, Yuxin Jiang, Yufei Wang, Liangyou Li, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong

CoRR, 2024

YODA: Teacher-Student Progressive Learning for Language Models.

Jianqiao Lu, Wanjun Zhong, Yufei Wang, Zhijiang Guo, Qi Zhu, Wenyong Huang, Yanlin Wang, Fei Mi, Baojun Wang, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu

CoRR, 2024

PROXYQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models.

Haochen Tan, Zhijiang Guo, Zhan Shi, Lu Xu, Zhili Liu, Xiaoguang Li, Yasheng Wang, Lifeng Shang, Qun Liu, Linqi Song

CoRR, 2024

Preparing Lessons for Progressive Training on Language Models.

Yu Pan, Ye Yuan, Yichun Yin, Jiaxin Shi, Zenglin Xu, Ming Zhang, Lifeng Shang, Xin Jiang, Qun Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Cooperative Game Modeling With Weighted Token-Level Alignment for Audio-Text Retrieval.

Yifei Xin, Baojun Wang, Lifeng Shang

IEEE Signal Process. Lett., 2023

Data Management For Large Language Models: A Survey.

Zige Wang, Wanjun Zhong, Yufei Wang, Qi Zhu, Fei Mi, Baojun Wang, Lifeng Shang, Xin Jiang, Qun Liu

CoRR, 2023

FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models.

Yuxin Jiang, Yufei Wang, Xingshan Zeng, Wanjun Zhong, Liangyou Li, Fei Mi, Lifeng Shang, Xin Jiang, Qun Liu, Wei Wang

CoRR, 2023

M4LE: A Multi-Ability Multi-Range Multi-Task Multi-Domain Long-Context Evaluation Benchmark for Large Language Models.

Wai-Chung Kwan, Xingshan Zeng, Yufei Wang, Yusen Sun, Liangyou Li, Lifeng Shang, Qun Liu, Kam-Fai Wong

CoRR, 2023

Reusing Pretrained Models by Multi-linear Operators for Efficient Training.

Yu Pan, Ye Yuan, Yichun Yin, Zenglin Xu, Lifeng Shang, Xin Jiang, Qun Liu

CoRR, 2023

Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis.

Kai Chen, Chunwei Wang, Kuo Yang, Jianhua Han, Lanqing Hong, Fei Mi, Hang Xu, Zhengying Liu, Wenyong Huang, Zhenguo Li, Dit-Yan Yeung, Lifeng Shang, Xin Jiang, Qun Liu

CoRR, 2023

Exploring the Usage of Chinese Pinyin in Pretraining.

Baojun Wang, Kun Xu, Lifeng Shang

CoRR, 2023

SELF: Language-Driven Self-Evolution for Large Language Model.

Jianqiao Lu, Wanjun Zhong, Wenyong Huang, Yufei Wang, Fei Mi, Baojun Wang, Weichao Wang, Lifeng Shang, Qun Liu

CoRR, 2023

Prompt-Based Length Controlled Generation with Reinforcement Learning.

Renlong Jie, Xiaojun Meng, Lifeng Shang, Xin Jiang, Qun Liu

CoRR, 2023

Aligning Large Language Models with Human: A Survey.

Yufei Wang, Wanjun Zhong, Liangyou Li, Fei Mi, Xingshan Zeng, Wenyong Huang, Lifeng Shang, Xin Jiang, Qun Liu

CoRR, 2023

Enhancing Coherence of Extractive Summarization with Multitask Learning.

Renlong Jie, Xiaojun Meng, Lifeng Shang, Xin Jiang, Qun Liu

CoRR, 2023

Study of a Random Warranty Model Maintaining Fairness and a Random Replacement Next Model Sustaining Post-Warranty Reliability.

Lifeng Shang, Nan Zhang, Li Yang, Lijun Shang

Axioms, 2023

Reusing Pretrained Models by Multi-linear Operators for Efficient Training.

Yu Pan, Ye Yuan, Yichun Yin, Zenglin Xu, Lifeng Shang, Xin Jiang, Qun Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improving Factual Consistency for Knowledge-Grounded Dialogue Systems via Knowledge Enhancement and Alignment.

Boyang Xue, Weichao Wang, Hongru Wang, Fei Mi, Rui Wang, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Gradually Excavating External Knowledge for Implicit Complex Question Answering.

Chang Liu, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Edmund Y. Lam, Ngai Wong

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Retrieval-free Knowledge Injection through Multi-Document Traversal for Dialogue Models.

Rui Wang, Jianzhu Bao, Fei Mi, Yi Chen, Hongru Wang, Yasheng Wang, Yitong Li, Lifeng Shang, Kam-Fai Wong, Ruifeng Xu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

AutoConv: Automatically Generating Information-seeking Conversations with Large Language Models.

Siheng Li, Cheng Yang, Yichun Yin, Xinyu Zhu, Zesen Cheng, Lifeng Shang, Xin Jiang, Qun Liu, Yujiu Yang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

NewsDialogues: Towards Proactive News Grounded Conversation.

Siheng Li, Yichun Yin, Cheng Yang, Wangjie Jiang, Yiwei Li, Zesen Cheng, Lifeng Shang, Xin Jiang, Qun Liu, Yujiu Yang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

mCLIP: Multilingual CLIP via Cross-lingual Transfer.

Guanhua Chen, Lu Hou, Yun Chen, Wenliang Dai, Lifeng Shang, Xin Jiang, Qun Liu, Jia Pan, Wenping Wang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Self-Supervised Logic Induction for Explainable Fuzzy Temporal Commonsense Reasoning.

Bibo Cai, Xiao Ding, Zhouhao Sun, Bing Qin, Ting Liu, Baojun Wang, Lifeng Shang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Retrieval-based Disentanglement with Distant Supervision.

Jiawei Zhou, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Lei Chen

CoRR, 2022

PANGUBOT: Efficient Generative Dialogue Pre-training from Pre-trained Language Model.

Fei Mi, Yitong Li, Yulong Zeng, Jingyan Zhou, Yasheng Wang, Chuanfei Xu, Lifeng Shang, Xin Jiang, Shiqi Zhao, Qun Liu

CoRR, 2022

Towards Efficient Post-training Quantization of Pre-trained Language Models.

Haoli Bai, Lu Hou, Lifeng Shang, Xin Jiang, Irwin King, Michael R. Lyu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Exploring extreme parameter compression for pre-trained language models.

Benyou Wang, Yuxin Ren, Lifeng Shang, Xin Jiang, Qun Liu

Proceedings of the Tenth International Conference on Learning Representations, 2022

Constructing Highly Inductive Contexts for Dialogue Safety through Controllable Reverse Generation.

Zhexin Zhang, Jiale Cheng, Hao Sun, Jiawen Deng, Fei Mi, Yasheng Wang, Lifeng Shang, Minlie Huang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks.

Zhongwei Wan, Yichun Yin, Wei Zhang, Jiaxin Shi, Lifeng Shang, Guangyong Chen, Xin Jiang, Qun Liu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Pre-training Language Models with Deterministic Factual Knowledge.

Shaobo Li, Xiaoguang Li, Lifeng Shang, Chengjie Sun, Bingquan Liu, Zhenzhou Ji, Xin Jiang, Qun Liu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

LiteVL: Efficient Video-Language Learning with Enhanced Spatial-Temporal Modeling.

Dongsheng Chen, Chaofan Tao, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Hyperlink-induced Pre-training for Passage Retrieval in Open-domain Question Answering.

Jiawei Zhou, Xiaoguang Li, Lifeng Shang, Lan Luo, Ke Zhan, Enrui Hu, Xinyu Zhang, Hao Jiang, Zhao Cao, Fan Yu, Xin Jiang, Qun Liu, Lei Chen

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Compression of Generative Pre-trained Language Models via Quantization.

Chaofan Tao, Lu Hou, Wei Zhang, Lifeng Shang, Xin Jiang, Qun Liu, Ping Luo, Ngai Wong

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

MINER: Multi-Interest Matching Network for News Recommendation.

Jian Li, Jieming Zhu, Qiwei Bi, Guohao Cai, Lifeng Shang, Zhenhua Dong, Xin Jiang, Qun Liu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

How Pre-trained Language Models Capture Factual Knowledge? A Causal-Inspired Analysis.

Shaobo Li, Xiaoguang Li, Lifeng Shang, Zhenhua Dong, Chengjie Sun, Bingquan Liu, Zhenzhou Ji, Xin Jiang, Qun Liu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Controlled Text Generation Using Dictionary Prior in Variational Autoencoders.

Xianghong Fang, Jian Li, Lifeng Shang, Xin Jiang, Qun Liu, Dit-Yan Yeung

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Enabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation.

Wenliang Dai, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Pascale Fung

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

bert2BERT: Towards Reusable Pretrained Language Models.

Cheng Chen, Yichun Yin, Lifeng Shang, Xin Jiang, Yujia Qin, Fengyu Wang, Zhi Wang, Xiao Chen, Zhiyuan Liu, Qun Liu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

MTRec: Multi-Task Learning over BERT for News Recommendation.

Qiwei Bi, Jian Li, Lifeng Shang, Xin Jiang, Qun Liu, Hanfang Yang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Read before Generate! Faithful Long Form Question Answering with Machine Reading.

Dan Su, Xiaoguang Li, Jindi Zhang, Lifeng Shang, Xin Jiang, Qun Liu, Pascale Fung

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Improving task-agnostic BERT distillation with layer mapping search.

Xiaoqi Jiao, Huating Chang, Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Linlin Li, Fang Wang, Qun Liu

Neurocomputing, 2021

Integrating Regular Expressions with Neural Networks via DFA.

Shaobo Li, Qun Liu, Xin Jiang, Yichun Yin, Chengjie Sun, Bingquan Liu, Zhenzhou Ji, Lifeng Shang

CoRR, 2021

Improved OOD Generalization via Adversarial Training and Pre-training.

Mingyang Yi, Lu Hou, Jiacheng Sun, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma

CoRR, 2021

LightMBERT: A Simple Yet Effective Method for Multilingual BERT Distillation.

Xiaoqi Jiao, Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Linlin Li, Fang Wang, Qun Liu

CoRR, 2021

Non-invasive Self-attention for Side Information Fusion in Sequential Recommendation.

Chang Liu, Xiaoguang Li, Guohao Cai, Zhenhua Dong, Hong Zhu, Lifeng Shang

CoRR, 2021

Dual Sequence Transformer for Query-based Interactive Recommendation.

Guohao Cai, Xiaoguang Li, Quanyu Dai, Gang Wang, Zhenhua Dong, Chaoliang Zhang, Xiuqiang He, Lifeng Shang

Proceedings of the 22nd IEEE International Conference on Mobile Data Management, 2021

Improved OOD Generalization via Adversarial Training and Pretraing.

Mingyang Yi, Lu Hou, Jiacheng Sun, Lifeng Shang, Xin Jiang, Qun Liu, Zhiming Ma

Proceedings of the 38th International Conference on Machine Learning, 2021

Reweighting Augmented Samples by Minimizing the Maximal Expected Loss.

Mingyang Yi, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma

Proceedings of the 9th International Conference on Learning Representations, 2021

On Position Embeddings in BERT.

Benyou Wang, Lifeng Shang, Christina Lioma, Xin Jiang, Hao Yang, Qun Liu, Jakob Grue Simonsen

Proceedings of the 9th International Conference on Learning Representations, 2021

Extract then Distill: Efficient and Effective Task-Agnostic BERT Distillation.

Cheng Chen, Yichun Yin, Lifeng Shang, Zhi Wang, Xin Jiang, Xiao Chen, Qun Liu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

DyLex: Incorporating Dynamic Lexicons into BERT for Sequence Labeling.

Baojun Wang, Zhao Zhang, Kun Xu, Guang-Yuan Hao, Yuyang Zhang, Lifeng Shang, Linlin Li, Xiao Chen, Xin Jiang, Qun Liu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Generate & Rank: A Multi-task Framework for Math Word Problems.

Jianhao Shen, Yichun Yin, Lin Li, Lifeng Shang, Xin Jiang, Ming Zhang, Qun Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Improving Unsupervised Question Answering via Summarization-Informed Question Generation.

Chenyang Lyu, Lifeng Shang, Yvette Graham, Jennifer Foster, Xin Jiang, Qun Liu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language Models.

Yichun Yin, Cheng Chen, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

A Mutual Information Maximization Approach for the Spurious Solution Problem in Weakly Supervised Question Answering.

Zhihong Shao, Lifeng Shang, Qun Liu, Minlie Huang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

GhostBERT: Generate More Features with Cheap Operations for BERT.

Zhiqi Huang, Lu Hou, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

BinaryBERT: Pushing the Limit of BERT Quantization.

Haoli Bai, Wei Zhang, Lu Hou, Lifeng Shang, Jin Jin, Xin Jiang, Qun Liu, Michael R. Lyu, Irwin King

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Noninvasive Self-attention for Side Information Fusion in Sequential Recommendation.

Chang Liu, Xiaoguang Li, Guohao Cai, Zhenhua Dong, Hong Zhu, Lifeng Shang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions.

Shaobo Li, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Chengjie Sun, Zhenzhou Ji, Bingquan Liu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

BinaryBERT: Pushing the Limit of BERT Quantization.

Haoli Bai, Wei Zhang, Lu Hou, Lifeng Shang, Jing Jin, Xin Jiang, Qun Liu, Michael R. Lyu, Irwin King

CoRR, 2020

SparTerm: Learning Term-based Sparse Representation for Fast Text Retrieval.

Yang Bai, Xiaoguang Li, Gang Wang, Chaoliang Zhang, Lifeng Shang, Jun Xu, Zhaowei Wang, Fangshan Wang, Qun Liu

CoRR, 2020

DynaBERT: Dynamic BERT with Adaptive Width and Depth.

Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu

CoRR, 2020

DynaBERT: Dynamic BERT with Adaptive Width and Depth.

Lu Hou, Zhiqi Huang, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Neural Subgraph Isomorphism Counting.

Xin Liu, Haojie Pan, Mutian He, Yangqiu Song, Xin Jiang, Lifeng Shang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

An Investigation of Few-Shot Learning in Spoken Term Classification.

Yangbin Chen, Tom Ko, Lifeng Shang, Xiao Chen, Xin Jiang, Qing Li

Proceedings of the Interspeech 2020, 2020

TernaryBERT: Distillation-aware Ultra-low Bit BERT.

Wei Zhang, Lu Hou, Yichun Yin, Lifeng Shang, Xiao Chen, Xin Jiang, Qun Liu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

TinyBERT: Distilling BERT for Natural Language Understanding.

Xiaoqi Jiao, Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Linlin Li, Fang Wang, Qun Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Enriching Large-Scale Eventuality Knowledge Graph with Entailment Relations.

Changlong Yu, Hongming Zhang, Yangqiu Song, Wilfred Ng, Lifeng Shang

Proceedings of the Conference on Automated Knowledge Base Construction, 2020

Dialog State Tracking with Reinforced Data Augmentation.

Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Qun Liu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Decomposable Neural Paraphrase Generation.

Zichao Li, Xin Jiang, Lifeng Shang, Qun Liu

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Towards Automatic Evaluation of Customer-Helpdesk Dialogues.

Zhaohao Zeng, Cheng Luo, Lifeng Shang, Hang Li, Tetsuya Sakai

J. Inf. Process., 2018

Meta Learning for Few-shot Keyword Spotting.

Yangbin Chen, Tom Ko, Lifeng Shang, Xiao Chen, Xin Jiang, Qing Li

CoRR, 2018

Paraphrase Generation with Deep Reinforcement Learning.

Zichao Li, Xin Jiang, Lifeng Shang, Hang Li

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Test Collections and Measures for Evaluating Customer-Helpdesk Dialogues.

Zhaohao Zeng, Cheng Luo, Lifeng Shang, Hang Li, Tetsuya Sakai

Proceedings of the 8th International Workshop on Evaluating Information Access co-located with the 13th NTCIR Conference on the Evaluation of Information Access Technologies (NTCIR 2017), 2017

Overview of the NTCIR-13 Short Text Conversation Task.

Lifeng Shang, Tetsuya Sakai, Hang Li, Ryuichiro Higashinaka, Yusuke Miyao, Yuki Arase, Masako Nomoto

Proceedings of the 13th NTCIR Conference, 2017

Neural Machine Translation with Reconstruction.

Zhaopeng Tu, Yang Liu, Lifeng Shang, Xiaohua Liu, Hang Li

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Overview of the NTCIR-12 Short Text Conversation Task.

Lifeng Shang, Tetsuya Sakai, Zhengdong Lu, Hang Li, Ryuichiro Higashinaka, Yusuke Miyao

Proceedings of the 12th NTCIR Conference on Evaluation of Information Access Technologies, 2016

On Estimating Variances for Topic Set Size Design.

Tetsuya Sakai, Lifeng Shang

Proceedings of the Seventh International Workshop on Evaluating Information Access, 2016

Neural Generative Question Answering.

Jun Yin, Xin Jiang, Zhengdong Lu, Lifeng Shang, Hang Li, Xiaoming Li

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Multimodal Convolutional Neural Networks for Matching Image and Sentence.

Lin Ma, Zhengdong Lu, Lifeng Shang, Hang Li

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Reliability concerns on time-to-digital converter due to bias temperature instability in nanometer era.

Xinsheng Wang, Lifeng Shang, Heyi Yin

Proceedings of the 2015 IEEE 11th International Conference on ASIC, 2015

Topic Set Size Design with the Evaluation Measures for Short Text Conversation.

Tetsuya Sakai, Lifeng Shang, Zhengdong Lu, Hang Li

Proceedings of the Information Retrieval Technology, 2015

Neural Responding Machine for Short-Text Conversation.

Lifeng Shang, Zhengdong Lu, Hang Li

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

Spatial temporal pyramid matching using temporal sparse representation for human motion retrieval.

Liuyang Zhou, Zhiwu Lu, Howard Leung, Lifeng Shang

Vis. Comput., 2014

A Robust Likelihood Function for 3D Human Pose Tracking.

Weichen Zhang, Lifeng Shang, Antoni B. Chan

IEEE Trans. Image Process., 2014

Human motion variation synthesis with multivariate Gaussian processes.

Liuyang Zhou, Lifeng Shang, Hubert P. H. Shum, Howard Leung

Comput. Animat. Virtual Worlds, 2014

2013

On Approximate Inference for Generalized Gaussian Process Models.

Lifeng Shang, Antoni B. Chan

CoRR, 2013

2012

Facial expression analysis with graphical models

Lifeng Shang

PhD thesis, 2012

Mode Seeking with an Adaptive Distance Measure.

Guodong Pan, Lifeng Shang, Dirk Schnieders, Kwan-Yee Kenneth Wong

Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

2011

DTTM: A Discriminative Temporal Topic Model for Facial Expression Recognition.

Lifeng Shang, Kwok-Ping Chan, Guodong Pan

Proceedings of the Advances in Visual Computing - 7th International Symposium, 2011

2010

Real-time large scale near-duplicate web video retrieval.

Lifeng Shang, Linjun Yang, Fei Wang, Kwok-Ping Chan, Xian-Sheng Hua

Proceedings of the 18th International Conference on Multimedia 2010, 2010

A Temporal Latent Topic Model for Facial Expression Recognition.

Lifeng Shang, Kwok-Ping Chan

Proceedings of the Computer Vision - ACCV 2010, 2010

2009

Constrained ZIP code segmentation by a PCNN-based thinning algorithm.

Lifeng Shang, Zhang Yi, Luping Ji

Neurocomputing, 2009

Nonparametric discriminant HMM and application to facial expression recognition.

Lifeng Shang, Kwok-Ping Chan

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Collaborative resource discovery in social tagging systems.

Bin Bi, Lifeng Shang, Ben Kao

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008

An improved pulse coupled neural network for image processing.

Luping Ji, Zhang Yi, Lifeng Shang

Neural Comput. Appl., 2008

Temporal Exemplar-Based Bayesian Networks for Facial Expression Recognition.

Lifeng Shang, Kwok-Ping Chan

Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

2007

Binary Fingerprint Image Thinning Using Template-Based PCNNs.

Luping Ji, Zhang Yi, Lifeng Shang, Xiaorong Pu

IEEE Trans. Syst. Man Cybern. Part B, 2007

Binary Image Thinning Using Autowaves Generated by PCNN.

Lifeng Shang, Zhang Yi, Luping Ji

Neural Process. Lett., 2007

A class of binary images thinning using two PCNNs.

Lifeng Shang, Zhang Yi

Neurocomputing, 2007

2006

Rigid medical image registration using PCA neural network.

Lifeng Shang, Jiancheng Lv, Zhang Yi

Neurocomputing, 2006