Publications
[36] Improved OOD Generalization via Adversarial Training and Pretraing
Mingyang Yi, Lu Hou, Jiacheng Sun, Lifeng Shang, Xin Jiang, Qun Liu, and Zhiming Ma
ICML 2021
[35] A Mutual Information Maximization Approach for the Spurious Solution Problem in Weakly Supervised QA
Zhihong Shao, Lifeng Shang, Qun Liu and Minlie Huang
ACL 2021
[34] AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language Models
Yichun Yin, Cheng Chen, Lifeng Shang, Xin Jiang, Xiao Chen and Qun Liu
ACL 2021
[33] GhostBERT: Generate More Features with Cheap Operations for BERT
Zhiqi Huang, Lu Hou, Lifeng Shang, Xin Jiang, Xiao Chen and Qun Liu
ACL 2021
[32] BinaryBERT: Pushing the Limit of BERT Quantization
Haoli Bai, Wei Zhang, Lu Hou, Lifeng Shang, Jing Jin, Xin Jiang, Qun Liu, Michael Lyu and Irwin King
ACL 2021
[31] On Position Embeddings in BERT
Benyou Wang, Lifeng Shang, Christina Lioma, Xin Jiang, Hao Yang, Qun Liu, and Jakob Grue Simonsen
ICLR 2021
[30] Reweighting Augmented Samples by Minimizing the Maximal Expected Loss
Mingyang Yi, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, and Zhi-Ming Ma
ICLR 2021
[29] Noninvasive Self-attention for Side Information Fusion in Sequential Recommendation
Chang Liu, Xiaoguang Li, Guohao Cai, Zhenhua Dong, Hong Zhu, and Lifeng Shang
AAAI 2021
[28] HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions
Shaobo Li, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Chengjie Sun, Zhenzhou Ji, and Bingquan Liu
AAAI 2021
[27] An Investigation of Few-Shot Learning in Spoken Term Classification
Yangbin Chen, Tom Ko, Lifeng Shang, Xiao Chen, Xin Jiang, and Qing Li
INTERSPEECH 2020
[26] Enriching Large-Scale Eventuality Knowledge Graph with Entailment Relations
Changlong Yu, Hongming Zhang, Yangqiu Song, Wilfred Ng, and Lifeng Shang
AKBC 2020
[25] Neural Subgraph Isomorphism Counting
Xin Liu, Haojie Pan, Mutian He, Yangqiu Song, Xin Jiang, and Lifeng Shang
KDD 2020 (Full)
[24] DynaBERT: Dynamic BERT with Adaptive Width and Depth
Lu Hou, Zhiqi Huang, Lifeng Shang, Xin Jiang, and Qun Liu
NeurIPS 2020 (Spotlight)
[23] TernaryBERT: Distillation-aware Ultra-low Bit BERT
Wei Zhang, Lu Hou, Yichun Yin, Lifeng Shang, Xiao Chen, Xin Jiang, and Qun Liu
EMNLP 2020 (Full)
[22] TinyBERT: Distilling bert for natural language understanding
Xiaoqi Jiao, Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen, Linlin Li, Fang Wang, and Qun Liu
EMNLP 2020 (Findings) (Most Influential Paper of EMNLP-2020)
[21] Dialog State Tracking with Reinforced Data Augmentation
Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Chen and Qun Liu
AAAI 2020
[20] Decomposable Neural Paraphrase Generation
Zichao Li, Xin Jiang, Lifeng Shang, and Qun Liu
ACL 2019 (Best Long Paper Nomination)
[19] Paraphrase Generation with Deep Reinforcement Learning
Zichao Li, Xin Jiang, Lifeng Shang, and Hang Li
EMNLP 2018
[18] Overview of the NTCIR-13 Short Text Conversation Task
Lifeng Shang, Tetsuya Sakai, Hang Li, Ryuichiro Higashinaka, Yusuke Miyao, Yuki Arase, and Masako Nomoto
NTCIR-STC2 2017
[17] Neural Machine Translation with Reconstruction
Zhaopeng Tu, Yang Liu, Lifeng Shang, Xiaohua Liu, and Hang Li
AAAI 2017
[16] Neural Generative Question Answering
Jun Yin, Xin Jiang, Zhengdong Lu, Lifeng Shang, Hang Li, and Xiaoming Li
IJCAI 2016
[15] Overview of the NTCIR-12 Short Text Conversation Task
Lifeng Shang, Tetsuya Sakai, Zhengdong Lu, Hang Li, Ryuichiro Higashinaka, and Yusuke Miyao
NTCIR-STC 2016
[14] Topic set size design with the evaluation measures for short text conversation
Tetsuya Sakai, Lifeng Shang, Zhengdong Lu, Hang Li
AIRS 2015
[13] Multimodal Convolutional Neural Networks for Matching Image and Sentence
Lin Ma, Zhengdong Lu, Lifeng Shang, and Hang Li
ICCV 2015
[12] Neural Responding Machine for Short-text Conversation
Lifeng Shang, Zhengdong Lu, and Hang Li
ACL 2015 [Full Oral, PDF]
[Dataset][Demo, Subtitle] [Related Task at NTCIR-12](Top-10 most-cited paper of ACL in the past five years)
[11] A Robust Likelihood Function for 3D Human Pose Tracking
Weichen Zhang, Lifeng Shang and Antoni B. Chan
IEEE Trans on Image Processing, 23(12): 5374 - 5389, 2014.[PDF]
[10] Spatial temporal pyramid matching using temporal sparse representation for human motion retrieval
Liuyang Zhou, Zhiwu Lu, Howard Leung, Lifeng Shang
CGI 2014 (Best Paper Award)
[09] Human motion variation synthesis with multivariate Gaussian processes
Liuyang Zhou, Lifeng Shang, Hubert PH Shum, and Howard Leung
CASA 2014
[08] On Approximate Inference for Generalized Gaussian Process Models
Lifeng Shang and Antoni B. Chan, Technical Report, 2013. [arXiv]
[07] Mode seeking with an adaptive distance measure
Guodong Pan, Lifeng Shang, Dirk Schnieders, Kwan-Yee K Wong
ECCV-workshop 2012
[06] DTTM: a discriminative temporal topic model for facial expression recognition
Lifeng Shang, Kwok-Ping Chan, and Guodong Pan
ISVC 2011
[05] A temporal latent topic model for facial expression recognition
Lifeng Shang, and Kwok-Ping Chan
ACCV 2010
[04] Real-time Large Scale Near-duplicate Web Video Retrieval
Lifeng Shang, Linjun Yang, Fei Wang, Kwok-Ping Chan and Xian-Sheng Hua
ACM MM 2010 [Full Oral, PDF]
[03] Collaborative resource discovery in social tagging systems
Bin Bi, Lifeng Shang, and Ben Kao
CIKM 2009 [Short]
[02] Nonparametric Discriminative HMM and Application to Facial Expression
Lifeng Shang and Kwok-Ping Chan
CVPR 2009
[01] Temporal exemplar-based bayesian networks for facial expression recognition
Lifeng Shang and Kwok-Ping Chan
ICMLA 2008