default search action
Zheng 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
— Nanjing University of Posts and Telecommunications, School of Computer Science, Nanjing, China (and 1 more)
- Zheng Liu 0002
- Zheng Liu 0003
- Zheng Liu 0004
- Zheng Liu 0005
- Zheng Liu 0006 — University of Chinese Academy of Sciences, Science and Technology on Optical Radiation Laboratory, Beijing, China
- Zheng Liu 0007
- Zheng Liu 0008
- Zheng Liu 0009
- Zheng Liu 0010
- 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
- Zheng Liu 0015
- 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
- Zheng Liu 0018
- Zheng Liu 0019
- Zheng Liu 0020
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [j7]Jin Chen, Zheng Liu, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, Kai Zheng, Defu Lian, Enhong Chen:
When large language models meet personalization: perspectives of challenges and opportunities. World Wide Web (WWW) 27(4): 42 (2024) - [c54]Hongjin Qian, Zheng Liu, Kelong Mao, Yujia Zhou, Zhicheng Dou:
Grounding Language Model with Chunking-Free In-Context Retrieval. ACL (1) 2024: 1298-1311 - [c53]Jianlyu Chen, Shitao Xiao, Peitian Zhang, Kun Luo, Defu Lian, Zheng Liu:
M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation. ACL (Findings) 2024: 2318-2335 - [c52]Yutao Zhu, Peitian Zhang, Chenghao Zhang, Yifei Chen, Binyu Xie, Zheng Liu, Ji-Rong Wen, Zhicheng Dou:
INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning. ACL (1) 2024: 2782-2809 - [c51]Kun Luo, Zheng Liu, Shitao Xiao, Tong Zhou, Yubo Chen, Jun Zhao, Kang Liu:
Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models. ACL (1) 2024: 3268-3281 - [c50]Chaofan Li, Zheng Liu, Shitao Xiao, Yingxia Shao, Defu Lian:
Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval. ACL (1) 2024: 3490-3500 - [c49]Peitian Zhang, Zheng Liu, Shitao Xiao, Zhicheng Dou, Jian-Yun Nie:
A Multi-Task Embedder For Retrieval Augmented LLMs. ACL (1) 2024: 3537-3553 - [c48]Kelong Mao, Zheng Liu, Hongjin Qian, Fengran Mo, Chenlong Deng, Zhicheng Dou:
RAG-Studio: Towards In-Domain Adaptation of Retrieval Augmented Generation Through Self-Alignment. EMNLP (Findings) 2024: 725-735 - [c47]Shitong Duan, Xiaoyuan Yi, Peng Zhang, Yan Liu, Zheng Liu, Tun Lu, Xing Xie, Ning Gu:
Negating Negatives: Alignment with Human Negative Samples via Distributional Dispreference Optimization. EMNLP (Findings) 2024: 1012-1042 - [c46]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. EMNLP 2024: 1227-1240 - [c45]Kun Luo, Minghao Qin, Zheng Liu, Shitao Xiao, Jun Zhao, Kang Liu:
Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment. EMNLP 2024: 1354-1365 - [c44]Peitian Zhang
Generative Retrieval via Term Set Generation. SIGIR 2024: 458-468 - [c43]Shitao Xiao
C-Pack: Packed Resources For General Chinese Embeddings. SIGIR 2024: 641-649 - [c42]Qi Chen
MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels. WWW (Companion Volume) 2024: 292-301 - [c41]Yujia Zhou
Metacognitive Retrieval-Augmented Large Language Models. WWW 2024: 1453-1463 - [c40]Zheng Liu
Information Retrieval Meets Large Language Models. WWW (Companion Volume) 2024: 1586-1589 - [i55]Peitian Zhang, Zheng Liu
Soaring from 4K to 400K: Extending LLM's Context with Activation Beacon. CoRR abs/2401.03462 (2024) - [i54]Yutao Zhu, Peitian Zhang, Chenghao Zhang, Yifei Chen, Binyu Xie, Zhicheng Dou, Zheng Liu
INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning. CoRR abs/2401.06532 (2024) - [i53]Ninglu Shao, Shitao Xiao, Zheng Liu
Flexibly Scaling Large Language Models Contexts Through Extensible Tokenization. CoRR abs/2401.07793 (2024) - [i52]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) - [i51]Hongjin Qian, Zheng Liu
Grounding Language Model with Chunking-Free In-Context Retrieval. CoRR abs/2402.09760 (2024) - [i50]Kun Luo, Zheng Liu
BGE Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models. CoRR abs/2402.11573 (2024) - [i49]Ninglu Shao, Shitao Xiao, Zheng Liu
Extensible Embedding: A Flexible Multipler For LLM's Context Length. CoRR abs/2402.11577 (2024) - [i48]Yujia Zhou, Zheng Liu
Metacognitive Retrieval-Augmented Large Language Models. CoRR abs/2402.11626 (2024) - [i47]Kelong Mao, Chenlong Deng
ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval. CoRR abs/2404.13556 (2024) - [i46]Zhihao Zhu, Ninglu Shao, Defu Lian, Chenwang Wu, Zheng Liu, Yi Yang, Enhong Chen:
Understanding Privacy Risks of Embeddings Induced by Large Language Models. CoRR abs/2404.16587 (2024) - [i45]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) - [i44]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) - [i43]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) - [i42]Chaofan Li, Yingxia Shao, Zheng Liu:
SEA-SQL: Semantic-Enhanced Text-to-SQL with Adaptive Refinement. CoRR abs/2408.04919 (2024) - [i41]Kun Luo, Minghao Qin, Zheng Liu, Shitao Xiao, Jun Zhao, Kang Liu:
Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment. CoRR abs/2408.12194 (2024) - [i40]Hongjin Qian, Peitian Zhang, Zheng Liu, Kelong Mao, Zhicheng Dou:
MemoRAG: Moving towards Next-Gen RAG Via Memory-Inspired Knowledge Discovery. CoRR abs/2409.05591 (2024) - [i39]Yujia Zhou, Yan Liu, Xiaoxi Li, Jiajie Jin, Hongjin Qian, Zheng Liu, Chaozhuo Li, Zhicheng Dou, Tsung-Yi Ho, Philip S. Yu:
Trustworthiness in Retrieval-Augmented Generation Systems: A Survey. CoRR abs/2409.10102 (2024) - [i38]Zheng Liu, Chenyuan Wu, Ninglu Shao, Shitao Xiao, Chaozhuo Li, Defu Lian:
Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation. CoRR abs/2409.15699 (2024) - [i37]Chaofan Li, Minghao Qin, Shitao Xiao, Jianlyu Chen, Kun Luo, Yingxia Shao, Defu Lian, Zheng Liu:
Making Text Embedders Few-Shot Learners. CoRR abs/2409.15700 (2024) - [i36]Yan Liu, Xiaoyuan Yi, Xiaokang Chen, Jing Yao, Jingwei Yi, Daoguang Zan, Zheng Liu, Xing Xie, Tsung-Yi Ho:
Elephant in the Room: Unveiling the Impact of Reward Model Quality in Alignment. CoRR abs/2409.19024 (2024) - 2023
- [j6]Jing Yao
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
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
Reinforcement Routing on Proximity Graph for Efficient Recommendation. ACM Trans. Inf. Syst. 41(1): 8:1-8:27 (2023) - [j3]Yiqi Wang
An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering. ACM Trans. Inf. Syst. 41(2): 43:1-43:27 (2023) - [c39]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 - [c38]Wenqi Sun, Zheng Liu
Towards Efficient and Effective Transformers for Sequential Recommendation. DASFAA (2) 2023: 341-356 - [c37]Peitian Zhang, Zheng Liu, Shitao Xiao, Zhicheng Dou, Jing Yao:
Hybrid Inverted Index Is a Robust Accelerator for Dense Retrieval. EMNLP 2023: 1877-1888 - [c36]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 - [c35]Haitao Li
Constructing Tree-based Index for Efficient and Effective Dense Retrieval. SIGIR 2023: 131-140 - [c34]Defu Lian
RecStudio: Towards a Highly-Modularized Recommender System. SIGIR 2023: 2890-2900 - [c33]Chaofan Li
LibVQ: A Toolkit for Optimizing Vector Quantization and Efficient Neural Retrieval. SIGIR 2023: 3095-3099 - [c32]Xu Huang
Cooperative Retriever and Ranker in Deep Recommenders. WWW 2023: 1150-1161 - [i35]Hongjing Qian, Yutao Zhu, Zhicheng Dou, Haoqi Gu, Xinyu Zhang, Zheng Liu
WebBrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus. CoRR abs/2304.04358 (2023) - [i34]Haitao Li, Qingyao Ai, Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Zheng Liu
Constructing Tree-based Index for Efficient and Effective Dense Retrieval. CoRR abs/2304.11943 (2023) - [i33]Shitao Xiao, Zheng Liu
RetroMAE-2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models. CoRR abs/2305.02564 (2023) - [i32]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) - [i31]Jin Chen, Zheng Liu
When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities. CoRR abs/2307.16376 (2023) - [i30]Shitao Xiao, Zheng Liu
C-Pack: Packaged Resources To Advance General Chinese Embedding. CoRR abs/2309.07597 (2023) - [i29]Peitian Zhang, Shitao Xiao, Zheng Liu
Retrieve Anything To Augment Large Language Models. CoRR abs/2310.07554 (2023) - [i28]Shitao Xiao, Zheng Liu
LM-Cocktail: Resilient Tuning of Language Models via Model Merging. CoRR abs/2311.13534 (2023) - [i27]Chaofan Li, Zheng Liu
Making Large Language Models A Better Foundation For Dense Retrieval. CoRR abs/2312.15503 (2023) - 2022
- [c31]Jin Zhang
Anisotropic Additive Quantization for Fast Inner Product Search. AAAI 2022: 4354-4362 - [c30]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 - [c29]Shitao Xiao, Zheng Liu, Yingxia Shao, Zhao Cao:
RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder. EMNLP 2022: 538-548 - [c28]Shitao Xiao, Zheng Liu
Training Large-Scale News Recommenders with Pretrained Language Models in the Loop. KDD 2022: 4215-4225 - [c27]Jianjin Zhang, Zheng Liu
Uni-Retriever: Towards Learning the Unified Embedding Based Retriever in Bing Sponsored Search. KDD 2022: 4493-4501 - [c26]Chao Feng, Wuchao Li, Defu Lian, Zheng Liu, Enhong Chen:
Recommender Forest for Efficient Retrieval. NeurIPS 2022 - [c25]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 - [c24]Chao Feng, Defu Lian
Forest-based Deep Recommender. SIGIR 2022: 523-532 - [c23]Shitao Xiao, Zheng Liu
Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings. SIGIR 2022: 1513-1523 - [c22]Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu
Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation. SIGIR 2022: 1599-1610 - [c21]Shitao Xiao, Zheng Liu
Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval. WWW 2022: 286-296 - [c20]Xufang Luo, Zheng Liu
MINDSim: User Simulator for News Recommenders. WWW 2022: 2067-2077 - [i26]Peitian Zhang, Zheng Liu:
GateFormer: Speeding Up News Feed Recommendation with Input Gated Transformers. CoRR abs/2201.04406 (2022) - [i25]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) - [i24]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) - [i23]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) - [i22]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) - [i21]Shitao Xiao, Zheng Liu
Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings. CoRR abs/2204.00185 (2022) - [i20]Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu
Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation. CoRR abs/2205.10775 (2022) - [i19]Zheng Liu
RetroMAE: Pre-training Retrieval-oriented Transformers via Masked Auto-Encoder. CoRR abs/2205.12035 (2022) - [i18]Yujing Wang, Yingyan Hou, Haonan Wang, Ziming Miao, Shibin Wu, Hao Sun, Qi Chen, Yuqing Xia, Chengmin Chi, Guoshuai Zhao, Zheng Liu
A Neural Corpus Indexer for Document Retrieval. CoRR abs/2206.02743 (2022) - [i17]Xu Huang, Defu Lian
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
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
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
CDSM: Cascaded Deep Semantic Matching on Textual Graphs Leveraging Ad-hoc Neighbor Selection. CoRR abs/2211.17171 (2022) - 2021
- [c19]Shuxian Bi, Chaozhuo Li, Xiao Han, Zheng Liu, Xing Xie, Haizhen Huang
Leveraging Bidding Graphs for Advertiser-Aware Relevance Modeling in Sponsored Search. EMNLP (Findings) 2021: 2215-2224 - [c18]Shitao Xiao, Zheng Liu, Yingxia Shao, Defu Lian, Xing Xie:
Matching-oriented Embedding Quantization For Ad-hoc Retrieval. EMNLP (1) 2021: 8119-8129 - [c17]Danyang Liu, Jianxun Lian, Zheng Liu
Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning. KDD 2021: 1055-1065 - [c16]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 - [c15]Chaozhuo Li, Bochen Pang, Yuming Liu, Hao Sun, Zheng Liu
AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search. SIGIR 2021: 223-232 - [c14]Xinyan Fan, Zheng Liu
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
- [c13]Heyuan Wang, Fangzhao Wu, Zheng Liu, Xing Xie:
Fine-grained Interest Matching for Neural News Recommendation. ACL 2020: 836-845 - [c12]Binbin Jin, Defu Lian, Zheng Liu, Qi Liu, Jianhui Ma, Xing Xie, Enhong Chen:
Sampling-Decomposable Generative Adversarial Recommender. NeurIPS 2020 - [c11]Kangzhi Zhao, Xiting Wang, Yuren Zhang, Li Zhao, Zheng Liu
Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs. SIGIR 2020: 239-248 - [c10]Zheng Liu
Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates. SIGIR 2020: 289-298 - [c9]Defu Lian
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
- [c8]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 - [c7]Zheng Liu
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
- [c6]Zheng Liu
Realtime Traffic Speed Estimation with Sparse Crowdsourced Data. ICDE 2018: 329-340 - [c5]Zheng Liu
Context-aware Academic Collaborator Recommendation. KDD 2018: 1870-1879 - 2017
- [j2]Zheng Liu
Worker Recommendation for Crowdsourced Q&A Services: A Triple-Factor Aware Approach. Proc. VLDB Endow. 11(3): 380-392 (2017) - [c4]Caleb Chen Cao, Jiayang Tu, Zheng Liu
Tuning Crowdsourced Human Computation. ICDE 2017: 1021-1032 - [c3]Feng Guo, Yuhang Cao, Zheng Liu
Speaker Direction-of-Arrival Estimation Based on Frequency-Independent Beampattern. INTERSPEECH 2017: 1899-1903 - 2016
- [c2]Zheng Liu
Mutual benefit aware task assignment in a bipartite labor market. ICDE 2016: 73-84 - [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
Cleaning uncertain data with a noisy crowd. ICDE 2015: 6-17 - 2014
- [j1]Zhao Chen
gMission: A General Spatial Crowdsourcing Platform. Proc. VLDB Endow. 7(13): 1629-1632 (2014)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-02 21:33 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: