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ORCIDZheng Liu 0011
Person information
- affiliation: Beijing Academy of Artificial Intelligence, China
- affiliation: Huawei Poisson Lab, Shenzhen, China
- affiliation: Microsoft Research Asia, Beijing, China
- affiliation: Hong Kong University of Science & Technology, Department of Computer Science and Engineering, Hong Kong
Other persons with the same name
- Zheng Liu — disambiguation page
- Zheng Liu 0001
![[0000-0001-5391-1105]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-5391-1105")
— Nanjing University of Posts and Telecommunications, School of Computer Science, Nanjing, China (and 1 more) - Zheng Liu 0002 — University of British Columbia Okanagan, School of Engineering, Kelowna, BC, Canada (and 2 more)
- Zheng Liu 0003 — Xi'an Jiaotong University, School of Electronics & Information Engineering, China
- Zheng Liu 0004 — China University of Geosciences, Faculty of Information Engineering, Wuhan, China
- Zheng Liu 0005 — Michigan Technological University, Department of Civil and Environmental Engineering, Houghton, MI, USA (and 1 more)
- Zheng Liu 0006 — University of Chinese Academy of Sciences, Science and Technology on Optical Radiation Laboratory, Beijing, China
- Zheng Liu 0007 — Guilin University of Electronic Technology, School of Electronic Information and Automation, Guilin, China
- Zheng Liu 0008 — Beijing Jiaotong University,Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing, China
- Zheng Liu 0009 — University of Illinois at Urbana-Champaign, Department of Nuclear, Plasma, and Radiological Engineering, Urbana, IL, USA
- Zheng Liu 0010 — McMaster University, Department of Electrical and Computer Engineering, Hamilton, Canada
- Zheng Liu 0012 — National University of Defense Technology, College of Electronic Science and Engineering, Changsha, China
- Zheng Liu 0013 — Capital Normal University, College of Information Engineering, Beijing, China
- Zheng Liu 0014 — Beihang University, School of Computer Science and Engineering, Laboratory of Intelligent Recognition and Image Processing, Beijing, China
- Zheng Liu 0015 — Xidian University, National Laboratory of Radar Signal Processing, Xi'an, China
- Zheng Liu 0016 — Zhejiang University, College of Control Science and Engineering, Research Center for Analytical Instrumentation, Institute of Cyber-systems and Control, State Key Laboratory of Industrial Control Technology, Hangzhou, China
- Zheng Liu 0017 — University of Illinois at Chicago, IL, USA
- Zheng Liu 0018 — Beijing University of Technology, Faculty of Information Technology, Beijing Key Laboratory of Computational Intelligence and Intelligent System, Engineering Research Center of Digital Community, Beijing Artificial Intelligence Institutem Beijing, China
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2020 – today
- 2024
[c34]Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul N. Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Nikhil Rao, Anlei Dong, Wenqi Jiang, Zheng Liu, Mingqin Li, Chuanjie Liu, Zengzhong Li, Rangan Majumder, Jennifer Neville, Andy Oakley, Knut Magne Risvik, Harsha Vardhan Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang:
MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels. WWW (Companion Volume) 2024: 292-301- [c33]Yujia Zhou, Zheng Liu, Jiajie Jin, Jian-Yun Nie, Zhicheng Dou:
Metacognitive Retrieval-Augmented Large Language Models. WWW 2024: 1453-1463 - [c32]Zheng Liu, Yujia Zhou, Yutao Zhu, Jianxun Lian, Chaozhuo Li, Zhicheng Dou, Defu Lian, Jian-Yun Nie:
Information Retrieval Meets Large Language Models. WWW (Companion Volume) 2024: 1586-1589 - [i45]Peitian Zhang, Zheng Liu, Shitao Xiao, Ninglu Shao, Qiwei Ye, Zhicheng Dou:
Soaring from 4K to 400K: Extending LLM's Context with Activation Beacon. CoRR abs/2401.03462 (2024) - [i44]Yutao Zhu, Peitian Zhang, Chenghao Zhang, Yifei Chen, Binyu Xie, Zhicheng Dou, Zheng Liu, Ji-Rong Wen:
INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning. CoRR abs/2401.06532 (2024) - [i43]Ninglu Shao, Shitao Xiao, Zheng Liu, Peitian Zhang:
Flexibly Scaling Large Language Models Contexts Through Extensible Tokenization. CoRR abs/2401.07793 (2024) - [i42]Jianlv Chen, Shitao Xiao, Peitian Zhang, Kun Luo, Defu Lian, Zheng Liu:
BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation. CoRR abs/2402.03216 (2024) - [i41]Hongjin Qian, Zheng Liu, Kelong Mao, Yujia Zhou, Zhicheng Dou:
Grounding Language Model with Chunking-Free In-Context Retrieval. CoRR abs/2402.09760 (2024) - [i40]Kun Luo, Zheng Liu, Shitao Xiao, Kang Liu:
BGE Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models. CoRR abs/2402.11573 (2024) - [i39]Ninglu Shao, Shitao Xiao, Zheng Liu, Peitian Zhang:
Extensible Embedding: A Flexible Multipler For LLM's Context Length. CoRR abs/2402.11577 (2024) - [i38]Yujia Zhou, Zheng Liu, Jiajie Jin, Jian-Yun Nie, Zhicheng Dou:
Metacognitive Retrieval-Augmented Large Language Models. CoRR abs/2402.11626 (2024) - [i37]Kelong Mao, Chenlong Deng, Haonan Chen, Fengran Mo, Zheng Liu, Tetsuya Sakai, Zhicheng Dou:
ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval. CoRR abs/2404.13556 (2024) - [i36]Peitian Zhang, Ninglu Shao, Zheng Liu, Shitao Xiao, Hongjin Qian, Qiwei Ye, Zhicheng Dou:
Extending Llama-3's Context Ten-Fold Overnight. CoRR abs/2404.19553 (2024) - [i35]Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul N. Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Nikhil Rao, Anlei Dong, Wenqi Jiang, Zheng Liu, Mingqin Li, Chuanjie Liu, Zengzhong Li, Rangan Majumder, Jennifer Neville, Andy Oakley, Knut Magne Risvik, Harsha Vardhan Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang:
MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels. CoRR abs/2405.07526 (2024) - [i34]Hongjin Qian, Zheng Liu, Peitian Zhang, Kelong Mao, Yujia Zhou, Xu Chen, Zhicheng Dou:
Are Long-LLMs A Necessity For Long-Context Tasks? CoRR abs/2405.15318 (2024) - [i33]Peitian Zhang, Zheng Liu, Shitao Xiao, Ninglu Shao, Qiwei Ye, Zhicheng Dou:
Compressing Lengthy Context With UltraGist. CoRR abs/2405.16635 (2024) - 2023
- [j6]Jing Yao, Zheng Liu, Junhan Yang, Zhicheng Dou, Xing Xie, Ji-Rong Wen:
CDSM: Cascaded Deep Semantic Matching on Textual Graphs Leveraging Ad-hoc Neighbor Selection. ACM Trans. Intell. Syst. Technol. 14(2): 32:1-32:24 (2023) - [j5]Chaozhuo Li, Senzhang Wang, Jie Xu, Zheng Liu, Hao Wang, Xing Xie, Lei Chen, Philip S. Yu:
Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning. IEEE Trans. Knowl. Data Eng. 35(10): 10166-10180 (2023) - [j4]Chao Feng, Defu Lian, Xiting Wang, Zheng Liu, Xing Xie, Enhong Chen:
Reinforcement Routing on Proximity Graph for Efficient Recommendation. ACM Trans. Inf. Syst. 41(1): 8:1-8:27 (2023) - [j3]Yiqi Wang, Chaozhuo Li, Zheng Liu, Mingzheng Li, Jiliang Tang, Xing Xie, Lei Chen, Philip S. Yu:
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering. ACM Trans. Inf. Syst. 41(2): 43:1-43:27 (2023) - [c31]Zheng Liu, Shitao Xiao, Yingxia Shao, Zhao Cao:
RetroMAE-2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models. ACL (1) 2023: 2635-2648 - [c30]Peitian Zhang, Zheng Liu, Shitao Xiao, Zhicheng Dou, Jing Yao:
Hybrid Inverted Index Is a Robust Accelerator for Dense Retrieval. EMNLP 2023: 1877-1888 - [c29]Junhan Yang, Zheng Liu, Chaozhuo Li, Guangzhong Sun, Xing Xie:
Longtriever: a Pre-trained Long Text Encoder for Dense Document Retrieval. EMNLP 2023: 3655-3665 - [c28]Chaofan Li, Zheng Liu, Shitao Xiao, Yingxia Shao, Defu Lian, Zhao Cao:
LibVQ: A Toolkit for Optimizing Vector Quantization and Efficient Neural Retrieval. SIGIR 2023: 3095-3099 - [i32]Hongjing Qian, Yutao Zhu, Zhicheng Dou, Haoqi Gu, Xinyu Zhang, Zheng Liu, Ruofei Lai, Zhao Cao, Jian-Yun Nie, Ji-Rong Wen:
WebBrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus. CoRR abs/2304.04358 (2023) - [i31]Shitao Xiao, Zheng Liu, Yingxia Shao, Zhao Cao:
RetroMAE-2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models. CoRR abs/2305.02564 (2023) - [i30]Peitian Zhang, Zheng Liu, Yujia Zhou, Zhicheng Dou, Zhao Cao:
Term-Sets Can Be Strong Document Identifiers For Auto-Regressive Search Engines. CoRR abs/2305.13859 (2023) - [i29]Shitao Xiao, Zheng Liu, Peitian Zhang, Niklas Muennighof:
C-Pack: Packaged Resources To Advance General Chinese Embedding. CoRR abs/2309.07597 (2023) - [i28]Peitian Zhang, Shitao Xiao, Zheng Liu, Zhicheng Dou, Jian-Yun Nie:
Retrieve Anything To Augment Large Language Models. CoRR abs/2310.07554 (2023) - [i27]Shitao Xiao, Zheng Liu, Peitian Zhang, Xingrun Xing:
LM-Cocktail: Resilient Tuning of Language Models via Model Merging. CoRR abs/2311.13534 (2023) - [i26]Chaofan Li, Zheng Liu, Shitao Xiao, Yingxia Shao:
Making Large Language Models A Better Foundation For Dense Retrieval. CoRR abs/2312.15503 (2023) - 2022
- [c27]Zhaoye Fei, Yu Tian, Yongkang Wu, Xinyu Zhang, Yutao Zhu, Zheng Liu, Jiawen Wu, Dejiang Kong, Ruofei Lai, Zhao Cao, Zhicheng Dou, Xipeng Qiu:
Coarse-to-Fine: Hierarchical Multi-task Learning for Natural Language Understanding. COLING 2022: 4952-4964 - [c26]Shitao Xiao, Zheng Liu, Yingxia Shao, Zhao Cao:
RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder. EMNLP 2022: 538-548 - [c25]Shitao Xiao, Zheng Liu, Yingxia Shao, Tao Di, Bhuvan Middha, Fangzhao Wu, Xing Xie:
Training Large-Scale News Recommenders with Pretrained Language Models in the Loop. KDD 2022: 4215-4225 - [c24]Jianjin Zhang, Zheng Liu, Weihao Han, Shitao Xiao, Ruicheng Zheng, Yingxia Shao, Hao Sun, Hanqing Zhu, Premkumar Srinivasan, Weiwei Deng, Qi Zhang, Xing Xie:
Uni-Retriever: Towards Learning the Unified Embedding Based Retriever in Bing Sponsored Search. KDD 2022: 4493-4501 - [c23]Yujing Wang, Yingyan Hou, Haonan Wang, Ziming Miao, Shibin Wu, Qi Chen, Yuqing Xia, Chengmin Chi, Guoshuai Zhao, Zheng Liu, Xing Xie, Hao Sun, Weiwei Deng, Qi Zhang, Mao Yang:
A Neural Corpus Indexer for Document Retrieval. NeurIPS 2022 - [c22]Chao Feng, Defu Lian, Zheng Liu, Xing Xie, Le Wu, Enhong Chen:
Forest-based Deep Recommender. SIGIR 2022: 523-532 - [c21]Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Xing Xie:
Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings. SIGIR 2022: 1513-1523 - [c20]Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie:
Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation. SIGIR 2022: 1599-1610 - [c19]Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Yingxia Shao, Defu Lian, Chaozhuo Li, Hao Sun, Denvy Deng, Liangjie Zhang, Qi Zhang, Xing Xie:
Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval. WWW 2022: 286-296 - [c18]Xufang Luo, Zheng Liu, Shitao Xiao, Xing Xie, Dongsheng Li:
MINDSim: User Simulator for News Recommenders. WWW 2022: 2067-2077 - [i25]Peitian Zhang, Zheng Liu:
GateFormer: Speeding Up News Feed Recommendation with Input Gated Transformers. CoRR abs/2201.04406 (2022) - [i24]Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Chaozhuo Li, Yingxia Shao, Defu Lian, Xing Xie, Hao Sun, Denvy Deng, Liangjie Zhang, Qi Zhang:
Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval. CoRR abs/2201.05409 (2022) - [i23]Chao Feng, Defu Lian, Xiting Wang, Zheng Liu, Xing Xie, Enhong Chen:
Reinforcement Routing on Proximity Graph for Efficient Recommendation. CoRR abs/2201.09290 (2022) - [i22]Jianjin Zhang, Zheng Liu, Weihao Han, Shitao Xiao, Ruicheng Zheng, Yingxia Shao, Hao Sun, Hanqing Zhu, Premkumar Srinivasan, Denvy Deng, Qi Zhang, Xing Xie:
Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search. CoRR abs/2202.06212 (2022) - [i21]Junhan Yang, Zheng Liu, Shitao Xiao, Jianxun Lian, Lijun Wu, Defu Lian, Guangzhong Sun, Xing Xie:
A Mutually Reinforced Framework for Pretrained Sentence Embeddings. CoRR abs/2202.13802 (2022) - [i20]Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Denvy Deng, Qi Zhang, Xing Xie:
Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings. CoRR abs/2204.00185 (2022) - [i19]Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie:
Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation. CoRR abs/2205.10775 (2022) - [i18]Yujing Wang, Yingyan Hou, Haonan Wang, Ziming Miao, Shibin Wu, Hao Sun, Qi Chen, Yuqing Xia, Chengmin Chi, Guoshuai Zhao, Zheng Liu, Xing Xie, Hao Allen Sun, Weiwei Deng, Qi Zhang, Mao Yang:
A Neural Corpus Indexer for Document Retrieval. CoRR abs/2206.02743 (2022) - [i17]Xu Huang, Defu Lian, Jin Chen, Zheng Liu, Xing Xie, Enhong Chen:
Cooperative Retriever and Ranker in Deep Recommenders. CoRR abs/2206.14649 (2022) - [i16]Zhaoye Fei, Yu Tian, Yongkang Wu, Xinyu Zhang, Yutao Zhu, Zheng Liu, Jiawen Wu, Dejiang Kong, Ruofei Lai, Zhao Cao, Zhicheng Dou, Xipeng Qiu:
Coarse-to-Fine: Hierarchical Multi-task Learning for Natural Language Understanding. CoRR abs/2208.09129 (2022) - [i15]Jiawen Wu, Xinyu Zhang, Yutao Zhu, Zheng Liu, Zikai Guo, Zhaoye Fei, Ruofei Lai, Yongkang Wu, Zhao Cao, Zhicheng Dou:
Pre-training for Information Retrieval: Are Hyperlinks Fully Explored? CoRR abs/2209.06583 (2022) - [i14]Peitian Zhang, Zheng Liu:
Bi-Phase Enhanced IVFPQ for Time-Efficient Ad-hoc Retrieval. CoRR abs/2210.05521 (2022) - [i13]Shitao Xiao, Zheng Liu:
RetroMAE v2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models. CoRR abs/2211.08769 (2022) - [i12]Jing Yao, Zheng Liu, Junhan Yang, Zhicheng Dou, Xing Xie, Ji-Rong Wen:
CDSM: Cascaded Deep Semantic Matching on Textual Graphs Leveraging Ad-hoc Neighbor Selection. CoRR abs/2211.17171 (2022) - 2021
- [c17]Shuxian Bi, Chaozhuo Li, Xiao Han, Zheng Liu, Xing Xie, Haizhen Huang, Zengxuan Wen:
Leveraging Bidding Graphs for Advertiser-Aware Relevance Modeling in Sponsored Search. EMNLP (Findings) 2021: 2215-2224 - [c16]Shitao Xiao, Zheng Liu, Yingxia Shao, Defu Lian, Xing Xie:
Matching-oriented Embedding Quantization For Ad-hoc Retrieval. EMNLP (1) 2021: 8119-8129 - [c15]Danyang Liu, Jianxun Lian, Zheng Liu, Xiting Wang, Guangzhong Sun, Xing Xie:
Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning. KDD 2021: 1055-1065 - [c14]Junhan Yang, Zheng Liu, Shitao Xiao, Chaozhuo Li, Defu Lian, Sanjay Agrawal, Amit Singh, Guangzhong Sun, Xing Xie:
GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph. NeurIPS 2021: 28798-28810 - [c13]Chaozhuo Li, Bochen Pang, Yuming Liu, Hao Sun, Zheng Liu, Xing Xie, Tianqi Yang, Yanling Cui, Liangjie Zhang, Qi Zhang:
AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search. SIGIR 2021: 223-232 - [c12]Xinyan Fan, Zheng Liu, Jianxun Lian, Wayne Xin Zhao, Xing Xie, Ji-Rong Wen:
Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation. SIGIR 2021: 1733-1737 - [i11]Jianxun Lian, Iyad Batal, Zheng Liu, Akshay Soni, Eun Yong Kang, Yajun Wang, Xing Xie:
Multi-Interest-Aware User Modeling for Large-Scale Sequential Recommendations. CoRR abs/2102.09211 (2021) - [i10]Shitao Xiao, Zheng Liu, Yingxia Shao, Tao Di, Xing Xie:
Training Microsoft News Recommenders with Pretrained Language Models in the Loop. CoRR abs/2102.09268 (2021) - [i9]Shitao Xiao, Zheng Liu, Yingxia Shao, Defu Lian, Xing Xie:
Search-oriented Differentiable Product Quantization. CoRR abs/2104.07858 (2021) - [i8]Junhan Yang, Zheng Liu, Bowen Jin, Jianxun Lian, Defu Lian, Akshay Soni, Eun Yong Kang, Yajun Wang, Guangzhong Sun, Xing Xie:
Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks. CoRR abs/2104.10925 (2021) - [i7]Chaozhuo Li, Bochen Pang, Yuming Liu, Hao Sun, Zheng Liu, Xing Xie, Tianqi Yang, Yanling Cui, Liangjie Zhang, Qi Zhang:
AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search. CoRR abs/2104.12080 (2021) - [i6]Junhan Yang, Zheng Liu, Shitao Xiao, Chaozhuo Li, Guangzhong Sun, Xing Xie:
GraphFormers: GNN-nested Language Models for Linked Text Representation. CoRR abs/2105.02605 (2021) - [i5]Yiqi Wang, Chaozhuo Li, Zheng Liu, Mingzheng Li, Jiliang Tang, Xing Xie, Lei Chen, Philip S. Yu:
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering. CoRR abs/2112.07191 (2021) - [i4]Chaozhuo Li, Senzhang Wang, Zheng Liu, Xing Xie, Lei Chen, Philip S. Yu:
Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning. CoRR abs/2112.07373 (2021) - 2020
- [c11]Heyuan Wang, Fangzhao Wu, Zheng Liu, Xing Xie:
Fine-grained Interest Matching for Neural News Recommendation. ACL 2020: 836-845 - [c10]Binbin Jin, Defu Lian, Zheng Liu, Qi Liu, Jianhui Ma, Xing Xie, Enhong Chen:
Sampling-Decomposable Generative Adversarial Recommender. NeurIPS 2020 - [c9]Kangzhi Zhao, Xiting Wang, Yuren Zhang, Li Zhao, Zheng Liu, Chunxiao Xing, Xing Xie:
Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs. SIGIR 2020: 239-248 - [c8]Zheng Liu, Jianxun Lian, Junhan Yang, Defu Lian, Xing Xie:
Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates. SIGIR 2020: 289-298 - [c7]Defu Lian, Haoyu Wang, Zheng Liu, Jianxun Lian, Enhong Chen, Xing Xie:
LightRec: A Memory and Search-Efficient Recommender System. WWW 2020: 695-705 - [i3]Binbin Jin, Defu Lian, Zheng Liu, Qi Liu, Jianhui Ma, Xing Xie, Enhong Chen:
Sampling-Decomposable Generative Adversarial Recommender. CoRR abs/2011.00956 (2020)
2010 – 2019
- 2019
- [c6]Mingxiao An, Fangzhao Wu, Chuhan Wu, Kun Zhang, Zheng Liu, Xing Xie:
Neural News Recommendation with Long- and Short-term User Representations. ACL (1) 2019: 336-345 - [c5]Zheng Liu, Yu Xing, Fangzhao Wu, Mingxiao An, Xing Xie:
Hi-Fi Ark: Deep User Representation via High-Fidelity Archive Network. IJCAI 2019: 3059-3065 - [i2]Zheng Liu, Yu Xing, Jianxun Lian, Defu Lian, Ziyao Li, Xing Xie:
A Novel User Representation Paradigm for Making Personalized Candidate Retrieval. CoRR abs/1907.06323 (2019) - 2018
- [c4]Zheng Liu, Lei Chen, Yongxin Tong:
Realtime Traffic Speed Estimation with Sparse Crowdsourced Data. ICDE 2018: 329-340 - [c3]Zheng Liu, Xing Xie, Lei Chen:
Context-aware Academic Collaborator Recommendation. KDD 2018: 1870-1879 - 2017
- [j2]Zheng Liu, Lei Chen:
Worker Recommendation for Crowdsourced Q&A Services: A Triple-Factor Aware Approach. Proc. VLDB Endow. 11(3): 380-392 (2017) - [c2]Caleb Chen Cao, Jiayang Tu, Zheng Liu, Lei Chen, H. V. Jagadish:
Tuning Crowdsourced Human Computation. ICDE 2017: 1021-1032 - 2016
- [i1]Caleb Chen Cao, Zheng Liu, Lei Chen, H. V. Jagadish:
Tuning Crowdsourced Human Computation. CoRR abs/1610.04429 (2016) - 2015
- [c1]Chen Jason Zhang, Lei Chen, Yongxin Tong, Zheng Liu:
Cleaning uncertain data with a noisy crowd. ICDE 2015: 6-17 - 2014
- [j1]Zhao Chen, Rui Fu, Ziyuan Zhao, Zheng Liu, Leihao Xia, Lei Chen, Peng Cheng, Caleb Chen Cao, Yongxin Tong, Chen Jason Zhang:
gMission: A General Spatial Crowdsourcing Platform. Proc. VLDB Endow. 7(13): 1629-1632 (2014)
Coauthor Index
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