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ORCIDHang Li 0001
Person information
- affiliation: ByteDance, China
- affiliation (former): Huawei Technologies, Noah's Ark Laboratories, Hong Kong
- affiliation (2001 - 2012): Microsoft Research Asia, Beijing, China
- affiliation (1991 - 2001): NEC Laboratories, Tokyo, Japan
- affiliation (PhD 1998): University of Tokyo, Japan
Other persons with the same name
- Hang Li — disambiguation page
- Hang Li 0002
![[0000-0001-9996-9695]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-9996-9695")
— Hangzhou Dianzi University, School of Electronics and Information, China (and 2 more) - Hang Li 0003 — Shenzhen Research Institute of Big Data, Shenzhen, Guangdong, China (and 2 more)
- Hang Li 0004 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, China
- Hang Li 0005 — University of New South Wales, School of Electrical Engineering and Telecommunications, Sydney, NSW, Australia
- Hang Li 0006 — Shenyang Normal University, Software College, China
- Hang Li 0007 — Michigan State University, East Lansing, MI, USA (and 1 more)
- Hang Li 0008 — Army Engineering University of PLA, PLAUST, College of Command and Control Engineering, Nanjing, China
- Hang Li 0009 — University of Queensland, IElab, Brisbane, Australia
- Hang Li 0010 — Ludwig Maximilian University of Munich, Munich, Germany (and 1 more)
- Hang Li 0011 — NEC Corporation, Kawasaki, Japan
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2020 – today
- 2024
[b3]Hang Li:
Machine Learning Methods. Springer 2024, ISBN 978-981-99-3916-9, pp. 1-532- [j47]Yan Zeng, Xinsong Zhang, Hang Li, Jiawei Wang, Jipeng Zhang, Wangchunshu Zhou:
X$^{2}$2-VLM: All-in-One Pre-Trained Model for Vision-Language Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3156-3168 (2024) - [i46]Sijia Liu, Yuanshun Yao, Jinghan Jia, Stephen Casper, Nathalie Baracaldo, Peter Hase, Xiaojun Xu, Yuguang Yao, Hang Li, Kush R. Varshney, Mohit Bansal, Sanmi Koyejo, Yang Liu:
Rethinking Machine Unlearning for Large Language Models. CoRR abs/2402.08787 (2024) - [i45]Rui Zheng, Hongyi Guo, Zhihan Liu, Xiaoying Zhang, Yuanshun Yao, Xiaojun Xu, Zhaoran Wang, Zhiheng Xi, Tao Gui, Qi Zhang, Xuanjing Huang, Hang Li, Yang Liu:
Toward Optimal LLM Alignments Using Two-Player Games. CoRR abs/2406.10977 (2024) - [i44]Shanbo Cheng, Zhichao Huang, Tom Ko, Hang Li, Ningxin Peng, Lu Xu, Qini Zhang:
Towards Achieving Human Parity on End-to-end Simultaneous Speech Translation via LLM Agent. CoRR abs/2407.21646 (2024) - 2023
- [c120]Xinsong Zhang, Yan Zeng, Jipeng Zhang, Hang Li:
Toward Building General Foundation Models for Language, Vision, and Vision-Language Understanding Tasks. EMNLP (Findings) 2023: 551-568 - [c119]Zhaowei Zhu, Yuanshun Yao, Jiankai Sun, Hang Li, Yang Liu:
Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes. ICML 2023: 43258-43288 - [c118]Xiaoying Zhang, Junpu Chen, Hongning Wang, Hong Xie, Yang Liu, John C. S. Lui, Hang Li:
Uncertainty-Aware Instance Reweighting for Off-Policy Learning. NeurIPS 2023 - [c117]Xiaoying Zhang, Hongning Wang, Hang Li:
Disentangled Representation for Diversified Recommendations. WSDM 2023: 490-498 - [i43]Xinsong Zhang, Yan Zeng, Jipeng Zhang, Hang Li:
Toward Building General Foundation Models for Language, Vision, and Vision-Language Understanding Tasks. CoRR abs/2301.05065 (2023) - [i42]Xiaoying Zhang, Hongning Wang, Hang Li:
Disentangled Representation for Diversified Recommendations. CoRR abs/2301.05492 (2023) - [i41]Xiaoying Zhang, Junpu Chen, Hongning Wang, Hong Xie, Hang Li:
Uncertainty-Aware Off-Policy Learning. CoRR abs/2303.06389 (2023) - [i40]Yang Liu, Yuanshun Yao, Jean-Francois Ton, Xiaoying Zhang, Ruocheng Guo, Hao Cheng, Yegor Klochkov, Muhammad Faaiz Taufiq, Hang Li:
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment. CoRR abs/2308.05374 (2023) - [i39]Yegor Klochkov, Jean-Francois Ton, Ruocheng Guo, Yang Liu, Hang Li:
Deep Concept Removal. CoRR abs/2310.05755 (2023) - [i38]Zhichao Huang, Rong Ye, Tom Ko, Qianqian Dong, Shanbo Cheng, Mingxuan Wang, Hang Li:
Speech Translation with Large Language Models: An Industrial Practice. CoRR abs/2312.13585 (2023) - 2022
- [j46]Hang Li:
Language models: past, present, and future. Commun. ACM 65(7): 56-63 (2022) - [c116]Fei Huang, Hao Zhou, Yang Liu, Hang Li, Minlie Huang:
Directed Acyclic Transformer for Non-Autoregressive Machine Translation. ICML 2022: 9410-9428 - [c115]Yan Zeng, Xinsong Zhang, Hang Li:
Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts. ICML 2022: 25994-26009 - [i37]Fei Huang, Hao Zhou, Yang Liu, Hang Li, Minlie Huang:
Directed Acyclic Transformer for Non-Autoregressive Machine Translation. CoRR abs/2205.07459 (2022) - [i36]Zhaowei Zhu, Yuanshun Yao, Jiankai Sun, Yang Liu, Hang Li:
Evaluating Fairness Without Sensitive Attributes: A Framework Using Only Auxiliary Models. CoRR abs/2210.03175 (2022) - [i35]Yan Zeng, Xinsong Zhang, Hang Li, Jiawei Wang, Jipeng Zhang, Wangchunshu Zhou:
X2-VLM: All-In-One Pre-trained Model For Vision-Language Tasks. CoRR abs/2211.12402 (2022) - 2021
- [c114]Tao Wang, Chengqi Zhao, Mingxuan Wang, Lei Li, Hang Li, Deyi Xiong:
Secoco: Self-Correcting Encoding for Neural Machine Translation. EMNLP (Findings) 2021: 4639-4644 - [i34]Tao Wang, Chengqi Zhao, Mingxuan Wang, Lei Li, Hang Li, Deyi Xiong:
Secoco: Self-Correcting Encoding for Neural Machine Translation. CoRR abs/2108.12137 (2021) - [i33]Yan Zeng, Xinsong Zhang, Hang Li:
Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts. CoRR abs/2111.08276 (2021) - 2020
- [j45]Jun Xu, Xiangnan He, Hang Li:
Deep Learning for Matching in Search and Recommendation. Found. Trends Inf. Retr. 14(2-3): 102-288 (2020) - [c113]Xiaoying Zhang, Hong Xie, Hang Li, John C. S. Lui:
Conversational Contextual Bandit: Algorithm and Application. WWW 2020: 662-672
2010 – 2019
- 2019
- [c112]Jun Xu, Xiangnan He, Hang Li:
Deep Learning for Matching in Search and Recommendation. WSDM 2019: 832-833 - [c111]Ziniu Hu, Yang Wang, Qu Peng, Hang Li:
Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm. WWW 2019: 2830-2836 - [i32]Xiaoying Zhang, Hong Xie, Hang Li, John C. S. Lui:
Toward Building Conversational Recommender Systems: A Contextual Bandit Approach. CoRR abs/1906.01219 (2019) - 2018
- [j44]Zhaohao Zeng, Cheng Luo, Lifeng Shang, Hang Li, Tetsuya Sakai:
Towards Automatic Evaluation of Customer-Helpdesk Dialogues. J. Inf. Process. 26: 768-778 (2018) - [c110]Zichao Li, Xin Jiang, Lifeng Shang, Hang Li:
Paraphrase Generation with Deep Reinforcement Learning. EMNLP 2018: 3865-3878 - [c109]Jun Xu, Xiangnan He, Hang Li:
Deep Learning for Matching in Search and Recommendation. SIGIR 2018: 1365-1368 - [c108]Hamed Zamani, Mostafa Dehghani, Fernando Diaz, Hang Li, Nick Craswell:
SIGIR 2018 Workshop on Learning from Limited or Noisy Data for Information Retrieval. SIGIR 2018: 1439-1440 - 2017
- [j43]Hang Li, Xiang Bai, Xuanjing Huang, Chang-shui Zhang:
Preface. J. Comput. Sci. Technol. 32(4): 663-666 (2017) - [j42]Geoffrey Holmes, Tie-Yan Liu, Hang Li, Irwin King, Masashi Sugiyama, Zhi-Hua Zhou:
Introduction: special issue of selected papers from ACML 2015. Mach. Learn. 106(4): 459-461 (2017) - [j41]Longyue Wang, Zhaopeng Tu, Xiaojun Zhang, Siyou Liu, Hang Li, Andy Way, Qun Liu:
A novel and robust approach for pro-drop language translation. Mach. Transl. 31(1-2): 65-87 (2017) - [j40]Zhaopeng Tu, Yang Liu, Zhengdong Lu, Xiaohua Liu, Hang Li:
Context Gates for Neural Machine Translation. Trans. Assoc. Comput. Linguistics 5: 87-99 (2017) - [j39]Hongning Wang, Rui Li, Milad Shokouhi, Hang Li, Yi Chang:
Search, Mining, and Their Applications on Mobile Devices: Introduction to the Special Issue. ACM Trans. Inf. Syst. 35(4): 29:1-29:17 (2017) - [c107]Zhaopeng Tu, Yang Liu, Lifeng Shang, Xiaohua Liu, Hang Li:
Neural Machine Translation with Reconstruction. AAAI 2017: 3097-3103 - [c106]Xing Wang, Zhengdong Lu, Zhaopeng Tu, Hang Li, Deyi Xiong, Min Zhang:
Neural Machine Translation Advised by Statistical Machine Translation. AAAI 2017: 3330-3336 - [c105]Hao Zhou, Zhaopeng Tu, Shujian Huang, Xiaohua Liu, Hang Li, Jiajun Chen:
Chunk-Based Bi-Scale Decoder for Neural Machine Translation. ACL (2) 2017: 580-586 - [c104]Lili Mou, Zhengdong Lu, Hang Li, Zhi Jin:
Coupling Distributed and Symbolic Execution for Natural Language Queries. ICLR (Workshop) 2017 - [c103]Lili Mou, Zhengdong Lu, Hang Li, Zhi Jin:
Coupling Distributed and Symbolic Execution for Natural Language Queries. ICML 2017: 2518-2526 - [c102]Lifeng Shang, Tetsuya Sakai, Hang Li, Ryuichiro Higashinaka, Yusuke Miyao, Yuki Arase, Masako Nomoto:
Overview of the NTCIR-13 Short Text Conversation Task. NTCIR 2017 - [c101]Zhaohao Zeng, Cheng Luo, Lifeng Shang, Hang Li, Tetsuya Sakai:
Test Collections and Measures for Evaluating Customer-Helpdesk Dialogues. EVIA@NTCIR 2017: 1-9 - [c100]Haizhou Zhao, Yi Du, Hang Li, Qiao Qian, Hao Zhou, Minlie Huang, Jingfang Xu:
SG01 at the NTCIR-13 STC-2 Task. NTCIR 2017 - [c99]Nabiha Asghar, Pascal Poupart, Xin Jiang, Hang Li:
Deep Active Learning for Dialogue Generation. *SEM 2017: 78-83 - [e7]Noriko Kando, Tetsuya Sakai, Hideo Joho, Hang Li, Arjen P. de Vries, Ryen W. White:
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, August 7-11, 2017. ACM 2017, ISBN 978-1-4503-5022-8 [contents] - [r1]Hang Li:
Learning to Rank. Encyclopedia of Machine Learning and Data Mining 2017: 729-734 - [i31]Hao Zhou, Zhaopeng Tu, Shujian Huang, Xiaohua Liu, Hang Li, Jiajun Chen:
Chunk-Based Bi-Scale Decoder for Neural Machine Translation. CoRR abs/1705.01452 (2017) - [i30]Zichao Li, Xin Jiang, Lifeng Shang, Hang Li:
Paraphrase Generation with Deep Reinforcement Learning. CoRR abs/1711.00279 (2017) - 2016
- [j38]Zhengdong Lu, Hang Li, Ben Kao:
Neural enquirer: learning to query tables in natural language. IEEE Data Eng. Bull. 39(3): 63-73 (2016) - [j37]Hang Li, Dinh Q. Phung, Tru H. Cao, Tu Bao Ho, Zhi-Hua Zhou:
Introduction: special issue of selected papers from ACML 2014. Mach. Learn. 103(2): 137-139 (2016) - [j36]Wei Wei, Bin Gao, Tie-Yan Liu, Taifeng Wang, Guohui Li, Hang Li:
A Ranking Approach on Large-Scale Graph With Multidimensional Heterogeneous Information. IEEE Trans. Cybern. 46(4): 930-944 (2016) - [c98]Lin Ma, Zhengdong Lu, Hang Li:
Learning to Answer Questions from Image Using Convolutional Neural Network. AAAI 2016: 3567-3573 - [c97]Jiatao Gu, Zhengdong Lu, Hang Li, Victor O. K. Li:
Incorporating Copying Mechanism in Sequence-to-Sequence Learning. ACL (1) 2016 - [c96]Zhaopeng Tu, Zhengdong Lu, Yang Liu, Xiaohua Liu, Hang Li:
Modeling Coverage for Neural Machine Translation. ACL (1) 2016 - [c95]Shuxin Wang, Xin Jiang, Hang Li, Jun Xu, Bin Wang:
Incorporating Semantic Knowledge into Latent Matching Model in Search. AIRS 2016: 29-41 - [c94]Fandong Meng, Zhengdong Lu, Hang Li, Qun Liu:
Interactive Attention for Neural Machine Translation. COLING 2016: 2174-2185 - [c93]Mingxuan Wang, Zhengdong Lu, Hang Li, Qun Liu:
Memory-enhanced Decoder for Neural Machine Translation. EMNLP 2016: 278-286 - [c92]Longyue Wang, Xiaojun Zhang, Zhaopeng Tu, Hang Li, Qun Liu:
Dropped pronoun generation for dialogue machine translation. ICASSP 2016: 6110-6114 - [c91]Pengcheng Yin, Zhengdong Lu, Hang Li, Ben Kao:
Neural Enquirer: Learning to Query Tables in Natural Language. IJCAI 2016: 2308-2314 - [c90]Jun Yin, Xin Jiang, Zhengdong Lu, Lifeng Shang, Hang Li, Xiaoming Li:
Neural Generative Question Answering. IJCAI 2016: 2972-2978 - [c89]Zhengdong Lu, Hang Li:
Recent Progress in Deep Learning for NLP. HLT-NAACL Tutorials 2016: 11-13 - [c88]Longyue Wang, Zhaopeng Tu, Xiaojun Zhang, Hang Li, Andy Way, Qun Liu:
A Novel Approach to Dropped Pronoun Translation. HLT-NAACL 2016: 983-993 - [c87]Lifeng Shang, Tetsuya Sakai, Zhengdong Lu, Hang Li, Ryuichiro Higashinaka, Yusuke Miyao:
Overview of the NTCIR-12 Short Text Conversation Task. NTCIR 2016 - [c86]Hang Li, Zhengdong Lu:
Deep Learning for Information Retrieval. SIGIR 2016: 1203-1206 - [i29]Zhaopeng Tu, Zhengdong Lu, Yang Liu, Xiaohua Liu, Hang Li:
Coverage-based Neural Machine Translation. CoRR abs/1601.04811 (2016) - [i28]Jiatao Gu, Zhengdong Lu, Hang Li, Victor O. K. Li:
Incorporating Copying Mechanism in Sequence-to-Sequence Learning. CoRR abs/1603.06393 (2016) - [i27]Shuxin Wang, Xin Jiang, Hang Li, Jun Xu, Bin Wang:
Incorporating Semantic Knowledge into Latent Matching Model in Search. CoRR abs/1604.06270 (2016) - [i26]Longyue Wang, Zhaopeng Tu, Xiaojun Zhang, Hang Li, Andy Way, Qun Liu:
A Novel Approach to Dropped Pronoun Translation. CoRR abs/1604.06285 (2016) - [i25]Yaohua Tang, Fandong Meng, Zhengdong Lu, Hang Li, Philip L. H. Yu:
Neural Machine Translation with External Phrase Memory. CoRR abs/1606.01792 (2016) - [i24]Mingxuan Wang, Zhengdong Lu, Hang Li, Qun Liu:
Memory-enhanced Decoder for Neural Machine Translation. CoRR abs/1606.02003 (2016) - [i23]Zhaopeng Tu, Yang Liu, Zhengdong Lu, Xiaohua Liu, Hang Li:
Context Gates for Neural Machine Translation. CoRR abs/1608.06043 (2016) - [i22]Fandong Meng, Zhengdong Lu, Hang Li, Qun Liu:
Interactive Attention for Neural Machine Translation. CoRR abs/1610.05011 (2016) - [i21]Xing Wang, Zhengdong Lu, Zhaopeng Tu, Hang Li, Deyi Xiong, Min Zhang:
Neural Machine Translation Advised by Statistical Machine Translation. CoRR abs/1610.05150 (2016) - [i20]Zhaopeng Tu, Yang Liu, Lifeng Shang, Xiaohua Liu, Hang Li:
Neural Machine Translation with Reconstruction. CoRR abs/1611.01874 (2016) - [i19]Lili Mou, Zhengdong Lu, Hang Li, Zhi Jin:
Coupling Distributed and Symbolic Execution for Natural Language Queries. CoRR abs/1612.02741 (2016) - [i18]Nabiha Asghar, Pascal Poupart, Xin Jiang, Hang Li:
Online Sequence-to-Sequence Active Learning for Open-Domain Dialogue Generation. CoRR abs/1612.03929 (2016) - 2015
- [j35]Haocheng Wu, Yunhua Hu, Hang Li, Enhong Chen:
A new approach to query segmentation for relevance ranking in web search. Inf. Retr. J. 18(1): 26-50 (2015) - [c85]Fandong Meng, Zhengdong Lu, Mingxuan Wang, Hang Li, Wenbin Jiang, Qun Liu:
Encoding Source Language with Convolutional Neural Network for Machine Translation. ACL (1) 2015: 20-30 - [c84]Baotian Hu, Zhaopeng Tu, Zhengdong Lu, Hang Li, Qingcai Chen:
Context-Dependent Translation Selection Using Convolutional Neural Network. ACL (2) 2015: 536-541 - [c83]Mingxuan Wang, Zhengdong Lu, Hang Li, Wenbin Jiang, Qun Liu:
genCNN: A Convolutional Architecture for Word Sequence Prediction. ACL (1) 2015: 1567-1576 - [c82]Lifeng Shang, Zhengdong Lu, Hang Li:
Neural Responding Machine for Short-Text Conversation. ACL (1) 2015: 1577-1586 - [c81]Tetsuya Sakai, Lifeng Shang, Zhengdong Lu, Hang Li:
Topic Set Size Design with the Evaluation Measures for Short Text Conversation. AIRS 2015: 319-331 - [c80]Lin Ma, Zhengdong Lu, Lifeng Shang, Hang Li:
Multimodal Convolutional Neural Networks for Matching Image and Sentence. ICCV 2015: 2623-2631 - [c79]Mingxuan Wang, Zhengdong Lu, Hang Li, Qun Liu:
Syntax-Based Deep Matching of Short Texts. IJCAI 2015: 1354-1361 - [c78]Guangyu Feng, Kun Xiong, Yang Tang, Anqi Cui, Jing Bai, Hang Li, Qiang Yang, Ming Li:
Question Classification by Approximating Semantics. WWW (Companion Volume) 2015: 407-417 - [e6]Xueqi Cheng, Hang Li, Evgeniy Gabrilovich, Jie Tang:
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, WSDM 2015, Shanghai, China, February 2-6, 2015. ACM 2015, ISBN 978-1-4503-3317-7 [contents] - [i17]Fandong Meng, Zhengdong Lu, Mingxuan Wang, Hang Li, Wenbin Jiang, Qun Liu:
Encoding Source Language with Convolutional Neural Network for Machine Translation. CoRR abs/1503.01838 (2015) - [i16]Zhaopeng Tu, Baotian Hu, Zhengdong Lu, Hang Li:
Context-Dependent Translation Selection Using Convolutional Neural Network. CoRR abs/1503.02357 (2015) - [i15]Lifeng Shang, Zhengdong Lu, Hang Li:
Neural Responding Machine for Short-Text Conversation. CoRR abs/1503.02364 (2015) - [i14]Mingxuan Wang, Zhengdong Lu, Hang Li, Qun Liu:
Syntax-based Deep Matching of Short Texts. CoRR abs/1503.02427 (2015) - [i13]Baotian Hu, Zhengdong Lu, Hang Li, Qingcai Chen:
Convolutional Neural Network Architectures for Matching Natural Language Sentences. CoRR abs/1503.03244 (2015) - [i12]Mingxuan Wang, Zhengdong Lu, Hang Li, Wenbin Jiang, Qun Liu:
genCNN: A Convolutional Architecture for Word Sequence Prediction. CoRR abs/1503.05034 (2015) - [i11]Lin Ma, Zhengdong Lu, Lifeng Shang, Hang Li:
Multimodal Convolutional Neural Networks for Matching Image and Sentence. CoRR abs/1504.06063 (2015) - [i10]Lin Ma, Zhengdong Lu, Hang Li:
Learning to Answer Questions From Image using Convolutional Neural Network. CoRR abs/1506.00333 (2015) - [i9]Fandong Meng, Zhengdong Lu, Zhaopeng Tu, Hang Li, Qun Liu:
Neural Transformation Machine: A New Architecture for Sequence-to-Sequence Learning. CoRR abs/1506.06442 (2015) - [i8]Baolin Peng, Zhengdong Lu, Hang Li, Kam-Fai Wong:
Towards Neural Network-based Reasoning. CoRR abs/1508.05508 (2015) - [i7]Pengcheng Yin, Zhengdong Lu, Hang Li, Ben Kao:
Neural Enquirer: Learning to Query Tables. CoRR abs/1512.00965 (2015) - [i6]Jun Yin, Xin Jiang, Zhengdong Lu, Lifeng Shang, Hang Li, Xiaoming Li:
Neural Generative Question Answering. CoRR abs/1512.01337 (2015) - 2014
- [b2]Hang Li:
Learning to Rank for Information Retrieval and Natural Language Processing, Second Edition. Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers 2014, ISBN 978-3-031-01027-9 - [j34]Hang Li, Jun Xu:
Semantic Matching in Search. Found. Trends Inf. Retr. 7(5): 343-469 (2014) - [j33]Ziqi Wang, Gu Xu, Hang Li, Ming Zhang:
A Probabilistic Approach to String Transformation. IEEE Trans. Knowl. Data Eng. 26(5): 1063-1075 (2014) - [c77]Quan Wang, Jun Xu, Hang Li:
User Message Model: A New Approach to Scalable User Modeling on Microblog. AIRS 2014: 209-220 - [c76]Fangzhao Wu, Jun Xu, Hang Li, Xin Jiang:
Ranking Optimization with Constraints. CIKM 2014: 1049-1058 - [c75]Jingbo Shang, Tianqi Chen, Hang Li, Zhengdong Lu, Yong Yu:
A Parallel and Efficient Algorithm for Learning to Match. ICDM 2014: 971-976 - [c74]Baotian Hu, Zhengdong Lu, Hang Li, Qingcai Chen:
Convolutional Neural Network Architectures for Matching Natural Language Sentences. NIPS 2014: 2042-2050 - [c73]Hang Li, Jun Xu:
Semantic Matching in Search. SMIR@SIGIR 2014: 4 - [c72]Julio Gonzalo, Hang Li, Alessandro Moschitti, Jun Xu:
SIGIR 2014 workshop on semantic matching in information retrieval. SIGIR 2014: 1296 - [e5]Dinh Q. Phung, Hang Li:
Proceedings of the Sixth Asian Conference on Machine Learning, ACML 2014, Nha Trang City, Vietnam, November 26-28, 2014. JMLR Workshop and Conference Proceedings 39, JMLR.org 2014 [contents] - [e4]Julio Gonzalo, Hang Li, Alessandro Moschitti, Jun Xu:
Proceedings of Workshop on Semantic Matching in Information Retrieval co-located with the 37th international ACM SIGIR conference on research and development in information retrieval, SMIR@SIGIR 2014, Queensland, Australia, July 11, 2014. CEUR Workshop Proceedings 1204, CEUR-WS.org 2014 [contents] - [i5]Zongcheng Ji, Zhengdong Lu, Hang Li:
An Information Retrieval Approach to Short Text Conversation. CoRR abs/1408.6988 (2014) - [i4]Jingbo Shang, Tianqi Chen, Hang Li, Zhengdong Lu, Yong Yu:
A Parallel and Efficient Algorithm for Learning to Match. CoRR abs/1410.6414 (2014) - 2013
- [j32]Wei Wu, Zhengdong Lu, Hang Li:
Learning bilinear model for matching queries and documents. J. Mach. Learn. Res. 14(1): 2519-2548 (2013) - [j31]Daxin Jiang, Jian Pei, Hang Li:
Mining search and browse logs for web search: A Survey. ACM Trans. Intell. Syst. Technol. 4(4): 57:1-57:37 (2013) - [j30]Quan Wang, Jun Xu, Hang Li, Nick Craswell:
Regularized Latent Semantic Indexing: A New Approach to Large-Scale Topic Modeling. ACM Trans. Inf. Syst. 31(1): 5:1-5:44 (2013) - [j29]Zhen Liao, Daxin Jiang, Jian Pei, Yalou Huang, Enhong Chen, Huanhuan Cao, Hang Li:
A vlHMM approach to context-aware search. ACM Trans. Web 7(4): 22:1-22:38 (2013) - [c71]Hao Wang, Zhengdong Lu, Hang Li, Enhong Chen:
A Dataset for Research on Short-Text Conversations. EMNLP 2013: 935-945 - [c70]Tianqi Chen, Hang Li, Qiang Yang, Yong Yu:
General Functional Matrix Factorization Using Gradient Boosting. ICML (1) 2013: 436-444 - [c69]Zhengdong Lu, Hang Li:
A Deep Architecture for Matching Short Texts. NIPS 2013: 1367-1375 - [c68]Wei Wu, Hang Li, Jun Xu:
Learning query and document similarities from click-through bipartite graph with metadata. WSDM 2013: 687-696 - [i3]Haocheng Wu, Yunhua Hu, Hang Li, Enhong Chen:
Query Segmentation for Relevance Ranking in Web Search. CoRR abs/1312.0182 (2013) - 2012
- [j28]