Yiding Liu

According to our database, Yiding Liu authored at least 57 papers between 2015 and 2024.

Collaborative distances:

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

2024

ChatASU: Evoking LLM's Reflexion to Truly Understand Aspect Sentiment in Dialogues.

Yiding Liu, Jingjing Wang, Jiamin Luo, Tao Zeng, Guodong Zhou

CoRR, 2024

The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG).

Shenglai Zeng, Jiankun Zhang, Pengfei He, Yue Xing, Yiding Liu, Han Xu, Jie Ren, Shuaiqiang Wang, Dawei Yin, Yi Chang, Jiliang Tang

CoRR, 2024

2023

Pruning-and-distillation: One-stage joint compression framework for CNNs <i>via</i> clustering.

Tao Niu, Yinglei Teng, Lei Jin, Panpan Zou, Yiding Liu

Image Vis. Comput., August, 2023

Pre-trained Language Model-based Retrieval and Ranking for Web Search.

Lixin Zou, Weixue Lu, Yiding Liu, Hengyi Cai, Xiaokai Chu, Dehong Ma, Daiting Shi, Yu Sun, Zhicong Cheng, Simiu Gu, Shuaiqiang Wang, Dawei Yin

ACM Trans. Web, February, 2023

A Robust Semantics-based Watermark for Large Language Model against Paraphrasing.

Jie Ren, Han Xu, Yiding Liu, Yingqian Cui, Shuaiqiang Wang, Dawei Yin, Jiliang Tang

CoRR, 2023

Self-supervised Heterogeneous Graph Variational Autoencoders.

Yige Zhao, Jianxiang Yu, Yao Cheng, Chengcheng Yu, Yiding Liu, Xiang Li, Shuaiqiang Wang

CoRR, 2023

Exploiting Latent Attribute Interaction with Transformer on Heterogeneous Information Networks.

Zeyuan Zhao, Qingqing Ge, Anfeng Cheng, Yiding Liu, Xiang Li, Shuaiqiang Wang

CoRR, 2023

MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion.

Pengyue Jia, Yiding Liu, Xiangyu Zhao, Xiaopeng Li, Changying Hao, Shuaiqiang Wang, Dawei Yin

CoRR, 2023

Enhancing Graph Neural Networks with Structure-Based Prompt.

Qingqing Ge, Zeyuan Zhao, Yiding Liu, Anfeng Cheng, Xiang Li, Shuaiqiang Wang, Dawei Yin

CoRR, 2023

Exploring Memorization in Fine-tuned Language Models.

Shenglai Zeng, Yaxin Li, Jie Ren, Yiding Liu, Han Xu, Pengfei He, Yue Xing, Shuaiqiang Wang, Jiliang Tang, Dawei Yin

CoRR, 2023

Aligning the Capabilities of Large Language Models with the Context of Information Retrieval via Contrastive Feedback.

Qian Dong, Yiding Liu, Qingyao Ai, Zhijing Wu, Haitao Li, Yiqun Liu, Shuaiqiang Wang, Dawei Yin, Shaoping Ma

CoRR, 2023

I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval.

Qian Dong, Yiding Liu, Qingyao Ai, Haitao Li, Shuaiqiang Wang, Yiqun Liu, Dawei Yin, Shaoping Ma

CoRR, 2023

Pretrained Language Model based Web Search Ranking: From Relevance to Satisfaction.

Canjia Li, Xiaoyang Wang, Dongdong Li, Yiding Liu, Yu Lu, Shuaiqiang Wang, Zhicong Cheng, Simiu Gu, Dawei Yin

CoRR, 2023

Layout-aware Webpage Quality Assessment.

Anfeng Cheng, Yiding Liu, Weibin Li, Qian Dong, Shuaiqiang Wang, Zhengjie Huang, Shikun Feng, Zhicong Cheng, Dawei Yin

CoRR, 2023

Shift Pruning: Equivalent Weight Pruning for CNN via Differentiable Shift Operator.

Tao Niu, Yihang Lou, Yinglei Teng, Jianzhong He, Yiding Liu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Cluster, Reconstruct and Prune: Equivalent Filter Pruning for CNNs without Fine-Tuning.

Tao Niu, Yinglei Teng, Panpan Zou, Yiding Liu

Proceedings of the IEEE Symposium on Computers and Communications, 2023

Splittable Pattern-Specific Weight Pruning for Deep Neural Networks.

Yiding Liu, Yinglei Teng, Tao Niu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning.

Qianru Zhang, Zheng Wang, Cheng Long, Chao Huang, Siu-Ming Yiu, Yiding Liu, Gao Cong, Jieming Shi

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

I3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval.

Qian Dong, Yiding Liu, Qingyao Ai, Haitao Li, Shuaiqiang Wang, Yiqun Liu, Dawei Yin, Shaoping Ma

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

DynamAP: Architectural Support for Dynamic Graph Traversal on the Automata Processor.

Yiding Liu, Xingyao Zhang, Donglin Zhuang, Xin Fu, Shuaiwen Song

ACM Trans. Archit. Code Optim., 2022

Enabling PIM-based AES encryption for online video streaming.

Yiding Liu, Lening Wang, Amer Qouneh, Xin Fu

J. Syst. Archit., 2022

Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning.

Qianru Zhang, Zheng Wang, Cheng Long, Chao Huang, Siu-Ming Yiu, Yiding Liu, Gao Cong, Jieming Shi

CoRR, 2022

ERNIE-Search: Bridging Cross-Encoder with Dual-Encoder via Self On-the-fly Distillation for Dense Passage Retrieval.

Yuxiang Lu, Yiding Liu, Jiaxiang Liu, Yunsheng Shi, Zhengjie Huang, Shikun Feng, Yu Sun, Hao Tian, Hua Wu, Shuaiqiang Wang, Dawei Yin, Haifeng Wang

CoRR, 2022

Failure load prediction and optimisation for adhesively bonded joints enabled by deep learning and fruit fly optimisation.

Weidong Li, Yuchen Liang, Yiding Liu

Adv. Eng. Informatics, 2022

Fast Semantic Matching via Flexible Contextualized Interaction.

Wenwen Ye, Yiding Liu, Lixin Zou, Hengyi Cai, Suqi Cheng, Shuaiqiang Wang, Dawei Yin

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking.

Qian Dong, Yiding Liu, Suqi Cheng, Shuaiqiang Wang, Zhicong Cheng, Shuzi Niu, Dawei Yin

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Stress Management through a Neuro and Biofeedback Meditation Virtual Reality Application.

Szu-Yun Wang, Yiding Liu, Hyeonseok Bang, Minjee Kim, John Raiti

Proceedings of the PETRA '22: The 15th International Conference on PErvasive Technologies Related to Assistive Environments, Corfu, Greece, 29 June 2022, 2022

Gaia VR: A Virtual Reality-based Neuro and Biofeedback Meditation Application.

Szu-Yun Wang, Hyeonseok Bang, Yiding Liu, Minjee Kim, John Raiti

Proceedings of the IEEE Global Humanitarian Technology Conference, 2022

2021

Affinity Derivation for Accurate Instance Segmentation.

Yiding Liu, Siyu Yang, Bin Li, Wengang Zhou, Jizheng Xu, Houqiang Li, Yan Lu

ACM Trans. Multim. Comput. Commun. Appl., 2021

Construction of a multi-source heterogeneous hybrid platform for big data.

Ying Wang, Yiding Liu, Minna Xia

J. Comput. Methods Sci. Eng., 2021

Pre-trained Language Model for Web-scale Retrieval in Baidu Search.

Yiding Liu, Guan Huang, Jiaxiang Liu, Weixue Lu, Suqi Cheng, Yukun Li, Daiting Shi, Shuaiqiang Wang, Zhicong Cheng, Dawei Yin

CoRR, 2021

Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation.

Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Exploring Designers' Practice of Online Example Management for Supporting Mobile UI Design.

Ziming Wu, Qianyao Xu, Yiding Liu, Zhenhui Peng, Yingqing Xu, Xiaojuan Ma

Proceedings of the MobileHCI '21: 23rd International Conference on Mobile Human-Computer Interaction, Toulouse & Virtual Event, France, 27 September 2021, 2021

Pre-trained Language Model for Web-scale Retrieval in Baidu Search.

Yiding Liu, Weixue Lu, Suqi Cheng, Daiting Shi, Shuaiqiang Wang, Zhicong Cheng, Dawei Yin

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Robust Road Network Representation Learning: When Traffic Patterns Meet Traveling Semantics.

Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long, Yiding Liu, Arun Kumar Chandran, Richard Ellison

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Latent representation models for mining geo-spatial data

Yiding Liu

PhD thesis, 2020

Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning.

Zheng Wang, Cheng Long, Gao Cong, Yiding Liu

Proc. VLDB Endow., 2020

Learning to Consider Relevance and Redundancy Dynamically for Abstractive Multi-document Summarization.

Yiding Liu, Xiaoning Fan, Jie Zhou, Chenglong He, Gongshen Liu

Proceedings of the Natural Language Processing and Chinese Computing, 2020

A Submodular Optimization-Based VAE-Transformer Framework for Paraphrase Generation.

Xiaoning Fan, Danyang Liu, Xuejian Wang, Yiding Liu, Gongshen Liu, Bo Su

Proceedings of the Natural Language Processing and Chinese Computing, 2020

Learning Interactions at Multiple Levels for Abstractive Multi-document Summarization.

Yiding Liu, Xiaoning Fan, Jie Zhou, Gongshen Liu

Proceedings of the Neural Information Processing - 27th International Conference, 2020

A Memory-Based Sentence Split and Rephrase Model with Multi-task Training.

Xiaoning Fan, Yiding Liu, Gongshen Liu, Bo Su

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Online Anomalous Trajectory Detection with Deep Generative Sequence Modeling.

Yiding Liu, Kaiqi Zhao, Gao Cong, Zhifeng Bao

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

A Quantitative Method to Measure Noticeability of Animations in Mobile Interfaces.

Qianyao Xu, Yiding Liu, Yingqing Xu

Proceedings of the Human-Computer Interaction. Design and User Experience, 2020

Decoupled Graph Convolution Network for Inferring Substitutable and Complementary Items.

Yiding Liu, Yulong Gu, Zhuoye Ding, Junchao Gao, Ziyi Guo, Yongjun Bao, Weipeng Yan

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems.

Yulong Gu, Zhuoye Ding, Shuaiqiang Wang, Lixin Zou, Yiding Liu, Dawei Yin

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Predicting and Diagnosing User Engagement with Mobile UI Animation via a Data-Driven Approach.

Ziming Wu, Yulun Jiang, Yiding Liu, Xiaojuan Ma

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019

Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction.

Huaxiu Yao, Yiding Liu, Ying Wei, Xianfeng Tang, Zhenhui Li

Proceedings of the World Wide Web Conference, 2019

Interact and Decide: Medley of Sub-Attention Networks for Effective Group Recommendation.

Lucas Vinh Tran, Tuan-Anh Nguyen Pham, Yi Tay, Yiding Liu, Gao Cong, Xiaoli Li

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

2018

Efficient Similar Region Search with Deep Metric Learning.

Yiding Liu, Kaiqi Zhao, Gao Cong

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Affinity Derivation and Graph Merge for Instance Segmentation.

Yiding Liu, Siyu Yang, Bin Li, Wengang Zhou, Jizheng Xu, Houqiang Li, Yan Lu

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

An Experimental Evaluation of Point-of-interest Recommendation in Location-based Social Networks.

Yiding Liu, Tuan-Anh Nguyen Pham, Gao Cong, Quan Yuan

Proc. VLDB Endow., 2017

Quasi rate distortion optimization for binary hashing.

Yiding Liu, Wengang Zhou, Houqiang Li

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

Towards Personalized Maps: Mining User Preferences from Geo-textual Data.

Kaiqi Zhao, Yiding Liu, Quan Yuan, Lisi Chen, Zhida Chen, Gao Cong

Proc. VLDB Endow., 2016

A System for Region Search and Exploration.

Kaiyu Feng, Kaiqi Zhao, Yiding Liu, Gao Cong

Proc. VLDB Endow., 2016

Correlation between social proximity and mobility similarity.

Chao Fan, Yiding Liu, Junming Huang, Zhihai Rong, Tao Zhou

CoRR, 2016

Fast SNR and rate control for JPEG XR.

Yiding Liu, Zixiang Xiong, Ligang Lu, Detlef Hohl

Proceedings of the 10th International Conference on Signal Processing and Communication Systems, 2016

2015

Towards complexity analysis of User Authorization Query problem in RBAC.

Jianfeng Lu, James B. D. Joshi, Lei Jin, Yiding Liu

Comput. Secur., 2015