Yiding Liu - RankMe

86 papers A* 14A 6B 2C 1Journal 43Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	KBest: Efficient Vector Search on Kunpeng CPU. KDD (1) Kaihao Ma, Meiling Wang, Oleg Senkevich, Zijian Li, Daihao Xue, Dmitriy Malyshev, Yangming Lv, Shihai Xiao, Xiao Yan, Alexander Radionov, Weidi Zeng, Yuanzhan Gao, Zhiyu Zou, Xin Yao, Lin Liu, Junhao Wu, Yiding Liu, Yaoyao Fu, Gongyi Wang, Gong Zhang, Fei Yi, Yingfan Liu
2026	J	`jnl`	MPGP-QOC: Multi-programming and graph-partition-based QOC for QNN inference. Future Gener. Comput. Syst. Yiding Liu
2026	J	`jnl`	VertexLocater: PIM-enabled dynamic offloading for graph computing. Big Data Res. Yiding Liu, Deren Xu, Yanyong Wang
2025	A*	`conf`	Decoupling Knowledge and Context: An Efficient and Effective Retrieval Augmented Generation Framework via Cross Attention. WWW Qian Dong, Qingyao Ai, Hongning Wang, Yiding Liu, Haitao Li, Weihang Su, Yiqun Liu, Tat-Seng Chua, Shaoping Ma
2025	J	`jnl`	KBest: Efficient Vector Search on Kunpeng CPU. CoRR Kaihao Ma, Meiling Wang, Oleg Senkevich, Zijian Li, Daihao Xue, Dmitriy Malyshev, Yangming Lv, Shihai Xiao, Xiao Yan, Alexander Radionov, Weidi Zeng, Yuanzhan Gao, Zhiyu Zou, Xin Yao, Lin Liu, Junhao Wu, Yiding Liu, Yaoyao Fu, Gongyi Wang, Gong Zhang, Fei Yi, Yingfan Liu
2025	J	`jnl`	MMSearch-R1: Incentivizing LMMs to Search. CoRR Jinming Wu, Zihao Deng, Wei Li, Yiding Liu, Bo You, Bo Li, Zejun Ma, Ziwei Liu
2025	—	`conf`	Proactive Guidance of Multi-Turn Conversation in Industrial Search. ACL (6) Xiaoyu Li, Xiao Li, Li Gao, Yiding Liu, Xiaoyang Wang, Shuaiqiang Wang, Junfeng Wang, Dawei Yin
2025	J	`jnl`	Proactive Guidance of Multi-Turn Conversation in Industrial Search. CoRR Xiaoyu Li, Xiao Li, Li Gao, Yiding Liu, Xiaoyang Wang, Shuaiqiang Wang, Junfeng Wang, Dawei Yin
2025	—	`conf`	Variational Graph Autoencoder for Heterogeneous Information Networks with Missing and Inaccurate Attributes. KDD (1) Yige Zhao, Jianxiang Yu, Yao Cheng, Chengcheng Yu, Yiding Liu, Xiang Li, Shuaiqiang Wang
2025	J	`jnl`	Who should livestream first? Sequence of dual self-livestreaming rooms for manufacturers. Electron. Commer. Res. Appl. Shoujie Cai, Sijie Li, Yiding Liu, Xiaohua Han
2024	—	`conf`	A Robust Semantics-based Watermark for Large Language Model against Paraphrasing. NAACL-HLT (Findings) Jie Ren, Han Xu, Yiding Liu, Yingqian Cui, Shuaiqiang Wang, Dawei Yin, Jiliang Tang
2024	—	`conf`	ChatASU: Evoking LLM's Reflexion to Truly Understand Aspect Sentiment in Dialogues. LREC/COLING Yiding Liu, Jingjing Wang, Jiamin Luo, Tao Zeng, Guodong Zhou
2024	J	`jnl`	ChatASU: Evoking LLM's Reflexion to Truly Understand Aspect Sentiment in Dialogues. CoRR Yiding Liu, Jingjing Wang, Jiamin Luo, Tao Zeng, Guodong Zhou
2024	—	`conf`	Exploring Memorization in Fine-tuned Language Models. ACL (1) Shenglai Zeng, Yaxin Li, Jie Ren, Yiding Liu, Han Xu, Pengfei He, Yue Xing, Shuaiqiang Wang, Jiliang Tang, Dawei Yin
2024	A*	`conf`	G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models. NeurIPS Pengyue Jia, Yiding Liu, Xiaopeng Li, Xiangyu Zhao, Yuhao Wang, Yantong Du, Xiao Han, Xuetao Wei, Shuaiqiang Wang, Dawei Yin
2024	J	`jnl`	G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models. CoRR Pengyue Jia, Yiding Liu, Xiaopeng Li, Xiangyu Zhao, Yuhao Wang, Yantong Du, Xiao Han, Xuetao Wei, Shuaiqiang Wang, Dawei Yin
2024	—	`conf`	HetCAN: A Heterogeneous Graph Cascade Attention Network with Dual-Level Awareness. ECML/PKDD (6) Zeyuan Zhao, Qingqing Ge, Anfeng Cheng, Yiding Liu, Xiang Li, Shuaiqiang Wang
2024	A*	`conf`	MAIR: A Massive Benchmark for Evaluating Instructed Retrieval. EMNLP Weiwei Sun, Zhengliang Shi, Wu Long, Lingyong Yan, Xinyu Ma, Yiding Liu, Min Cao, Dawei Yin, Zhaochun Ren
2024	J	`jnl`	MAIR: A Massive Benchmark for Evaluating Instructed Retrieval. CoRR Weiwei Sun, Zhengliang Shi, Jiulong Wu, Lingyong Yan, Xinyu Ma, Yiding Liu, Min Cao, Dawei Yin, Zhaochun Ren
2024	—	`conf`	MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion. NAACL-HLT Pengyue Jia, Yiding Liu, Xiangyu Zhao, Xiaopeng Li, Changying Hao, Shuaiqiang Wang, Dawei Yin
2024	—	`conf`	PSP: Pre-training and Structure Prompt Tuning for Graph Neural Networks. ECML/PKDD (5) Qingqing Ge, Zeyuan Zhao, Yiding Liu, Anfeng Cheng, Xiang Li, Shuaiqiang Wang, Dawei Yin
2024	J	`jnl`	SMLP4Rec: An Efficient All-MLP Architecture for Sequential Recommendations. ACM Trans. Inf. Syst. Jingtong Gao, Xiangyu Zhao, Muyang Li, Minghao Zhao, Runze Wu, Ruocheng Guo, Yiding Liu, Dawei Yin
2024	—	`conf`	The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG). ACL (Findings) Shenglai Zeng, Jiankun Zhang, Pengfei He, Yiding Liu, Yue Xing, Han Xu, Jie Ren, Yi Chang, Shuaiqiang Wang, Dawei Yin, Jiliang Tang
2024	J	`jnl`	The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG). CoRR Shenglai Zeng, Jiankun Zhang, Pengfei He, Yue Xing, Yiding Liu, Han Xu, Jie Ren, Shuaiqiang Wang, Dawei Yin, Yi Chang, Jiliang Tang
2024	J	`jnl`	Towards High Performance QNNs via Distribution-Based CNOT Gate Reduction. ACM Trans. Archit. Code Optim. Manojna Sistla, Yiding Liu, Xin Fu
2024	A*	`conf`	Unsupervised Large Language Model Alignment for Information Retrieval via Contrastive Feedback. SIGIR Qian Dong, Yiding Liu, Qingyao Ai, Zhijing Wu, Haitao Li, Yiqun Liu, Shuaiqiang Wang, Dawei Yin, Shaoping Ma
2023	J	`jnl`	A Robust Semantics-based Watermark for Large Language Model against Paraphrasing. CoRR Jie Ren, Han Xu, Yiding Liu, Yingqian Cui, Shuaiqiang Wang, Dawei Yin, Jiliang Tang
2023	J	`jnl`	Aligning the Capabilities of Large Language Models with the Context of Information Retrieval via Contrastive Feedback. CoRR Qian Dong, Yiding Liu, Qingyao Ai, Zhijing Wu, Haitao Li, Yiqun Liu, Shuaiqiang Wang, Dawei Yin, Shaoping Ma
2023	C	`conf`	Cluster, Reconstruct and Prune: Equivalent Filter Pruning for CNNs without Fine-Tuning. ISCC Tao Niu, Yinglei Teng, Panpan Zou, Yiding Liu
2023	J	`jnl`	Enhancing Graph Neural Networks with Structure-Based Prompt. CoRR Qingqing Ge, Zeyuan Zhao, Yiding Liu, Anfeng Cheng, Xiang Li, Shuaiqiang Wang, Dawei Yin
2023	J	`jnl`	Exploiting Latent Attribute Interaction with Transformer on Heterogeneous Information Networks. CoRR Zeyuan Zhao, Qingqing Ge, Anfeng Cheng, Yiding Liu, Xiang Li, Shuaiqiang Wang
2023	J	`jnl`	Exploring Memorization in Fine-tuned Language Models. CoRR Shenglai Zeng, Yaxin Li, Jie Ren, Yiding Liu, Han Xu, Pengfei He, Yue Xing, Shuaiqiang Wang, Jiliang Tang, Dawei Yin
2023	A	`conf`	I3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval. CIKM Qian Dong, Yiding Liu, Qingyao Ai, Haitao Li, Shuaiqiang Wang, Yiqun Liu, Dawei Yin, Shaoping Ma
2023	J	`jnl`	I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval. CoRR Qian Dong, Yiding Liu, Qingyao Ai, Haitao Li, Shuaiqiang Wang, Yiqun Liu, Dawei Yin, Shaoping Ma
2023	J	`jnl`	Layout-aware Webpage Quality Assessment. CoRR Anfeng Cheng, Yiding Liu, Weibin Li, Qian Dong, Shuaiqiang Wang, Zhengjie Huang, Shikun Feng, Zhicong Cheng, Dawei Yin
2023	J	`jnl`	MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion. CoRR Pengyue Jia, Yiding Liu, Xiangyu Zhao, Xiaopeng Li, Changying Hao, Shuaiqiang Wang, Dawei Yin
2023	A*	`conf`	Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning. ICDE Qianru Zhang, Zheng Wang, Cheng Long, Chao Huang, Siu-Ming Yiu, Yiding Liu, Gao Cong, Jieming Shi
2023	J	`jnl`	Pre-trained Language Model-based Retrieval and Ranking for Web Search. ACM Trans. Web Lixin Zou, Weixue Lu, Yiding Liu, Hengyi Cai, Xiaokai Chu, Dehong Ma, Daiting Shi, Yu Sun, Zhicong Cheng, Simiu Gu, Shuaiqiang Wang, Dawei Yin
2023	J	`jnl`	Pretrained Language Model based Web Search Ranking: From Relevance to Satisfaction. CoRR Canjia Li, Xiaoyang Wang, Dongdong Li, Yiding Liu, Yu Lu, Shuaiqiang Wang, Zhicong Cheng, Simiu Gu, Dawei Yin
2023	J	`jnl`	Pruning-and-distillation: One-stage joint compression framework for CNNs Image Vis. Comput. Tao Niu, Yinglei Teng, Lei Jin, Panpan Zou, Yiding Liu
2023	J	`jnl`	Self-supervised Heterogeneous Graph Variational Autoencoders. CoRR Yige Zhao, Jianxiang Yu, Yao Cheng, Chengcheng Yu, Yiding Liu, Xiang Li, Shuaiqiang Wang
2023	A*	`conf`	Shift Pruning: Equivalent Weight Pruning for CNN via Differentiable Shift Operator. ACM Multimedia Tao Niu, Yihang Lou, Yinglei Teng, Jianzhong He, Yiding Liu
2023	A	`conf`	Splittable Pattern-Specific Weight Pruning for Deep Neural Networks. ICME Yiding Liu, Yinglei Teng, Tao Niu
2022	J	`jnl`	DynamAP: Architectural Support for Dynamic Graph Traversal on the Automata Processor. ACM Trans. Archit. Code Optim. Yiding Liu, Xingyao Zhang, Donglin Zhuang, Xin Fu, Shuaiwen Song
2022	J	`jnl`	ERNIE-Search: Bridging Cross-Encoder with Dual-Encoder via Self On-the-fly Distillation for Dense Passage Retrieval. CoRR Yuxiang Lu, Yiding Liu, Jiaxiang Liu, Yunsheng Shi, Zhengjie Huang, Shikun Feng, Yu Sun, Hao Tian, Hua Wu, Shuaiqiang Wang, Dawei Yin, Haifeng Wang
2022	J	`jnl`	Enabling PIM-based AES encryption for online video streaming. J. Syst. Archit. Yiding Liu, Lening Wang, Amer Qouneh, Xin Fu
2022	J	`jnl`	Failure load prediction and optimisation for adhesively bonded joints enabled by deep learning and fruit fly optimisation. Adv. Eng. Informatics Weidong Li, Yuchen Liang, Yiding Liu
2022	A	`conf`	Fast Semantic Matching via Flexible Contextualized Interaction. WSDM Wenwen Ye, Yiding Liu, Lixin Zou, Hengyi Cai, Suqi Cheng, Shuaiqiang Wang, Dawei Yin
2022	—	`conf`	Gaia VR: A Virtual Reality-based Neuro and Biofeedback Meditation Application. GHTC Szu-Yun Wang, Hyeonseok Bang, Yiding Liu, Minjee Kim, John Raiti
2022	A*	`conf`	Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking. SIGIR Qian Dong, Yiding Liu, Suqi Cheng, Shuaiqiang Wang, Zhicong Cheng, Shuzi Niu, Dawei Yin
2022	J	`jnl`	Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking. CoRR Qian Dong, Yiding Liu, Suqi Cheng, Shuaiqiang Wang, Zhicong Cheng, Shuzi Niu, Dawei Yin
2022	J	`jnl`	Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning. CoRR Qianru Zhang, Zheng Wang, Cheng Long, Chao Huang, Siu-Ming Yiu, Yiding Liu, Gao Cong, Jieming Shi
2022	—	`conf`	Stress Management through a Neuro and Biofeedback Meditation Virtual Reality Application. PETRA Szu-Yun Wang, Yiding Liu, Hyeonseok Bang, Minjee Kim, John Raiti
2021	J	`jnl`	Affinity Derivation for Accurate Instance Segmentation. ACM Trans. Multim. Comput. Commun. Appl. Yiding Liu, Siyu Yang, Bin Li, Wengang Zhou, Jizheng Xu, Houqiang Li, Yan Lu
2021	J	`jnl`	Construction of a multi-source heterogeneous hybrid platform for big data. J. Comput. Methods Sci. Eng. Ying Wang, Yiding Liu, Minna Xia
2021	A*	`conf`	Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation. SIGIR Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang
2021	J	`jnl`	Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation. CoRR Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang
2021	B	`conf`	Exploring Designers' Practice of Online Example Management for Supporting Mobile UI Design. MobileHCI Ziming Wu, Qianyao Xu, Yiding Liu, Zhenhui Peng, Yingqing Xu, Xiaojuan Ma
2021	A*	`conf`	Pre-trained Language Model for Web-scale Retrieval in Baidu Search. KDD Yiding Liu, Weixue Lu, Suqi Cheng, Daiting Shi, Shuaiqiang Wang, Zhicong Cheng, Dawei Yin
2021	J	`jnl`	Pre-trained Language Model for Web-scale Retrieval in Baidu Search. CoRR Yiding Liu, Guan Huang, Jiaxiang Liu, Weixue Lu, Suqi Cheng, Yukun Li, Daiting Shi, Shuaiqiang Wang, Zhicong Cheng, Dawei Yin
2021	A	`conf`	Robust Road Network Representation Learning: When Traffic Patterns Meet Traveling Semantics. CIKM Yile Chen, Xiucheng Li, Gao Cong, Zhifeng Bao, Cheng Long, Yiding Liu, Arun Kumar Chandran, Richard Ellison
2020	—	`conf`	A Memory-Based Sentence Split and Rephrase Model with Multi-task Training. ICONIP (1) Xiaoning Fan, Yiding Liu, Gongshen Liu, Bo Su
2020	—	`conf`	A Quantitative Method to Measure Noticeability of Animations in Mobile Interfaces. HCI (1) Qianyao Xu, Yiding Liu, Yingqing Xu
2020	—	`conf`	A Submodular Optimization-Based VAE-Transformer Framework for Paraphrase Generation. NLPCC (1) Xiaoning Fan, Danyang Liu, Xuejian Wang, Yiding Liu, Gongshen Liu, Bo Su
2020	A	`conf`	Decoupled Graph Convolution Network for Inferring Substitutable and Complementary Items. CIKM Yiding Liu, Yulong Gu, Zhuoye Ding, Junchao Gao, Ziyi Guo, Yongjun Bao, Weipeng Yan
2020	A	`conf`	Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems. CIKM Yulong Gu, Zhuoye Ding, Shuaiqiang Wang, Lixin Zou, Yiding Liu, Dawei Yin
2020	J	`jnl`	Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning. CoRR Zheng Wang, Cheng Long, Gao Cong, Yiding Liu
2020	J	`jnl`	Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning. Proc. VLDB Endow. Zheng Wang, Cheng Long, Gao Cong, Yiding Liu
2020	—	`—`	Latent representation models for mining geo-spatial data Yiding Liu
2020	—	`conf`	Learning Interactions at Multiple Levels for Abstractive Multi-document Summarization. ICONIP (4) Yiding Liu, Xiaoning Fan, Jie Zhou, Gongshen Liu
2020	—	`conf`	Learning to Consider Relevance and Redundancy Dynamically for Abstractive Multi-document Summarization. NLPCC (1) Yiding Liu, Xiaoning Fan, Jie Zhou, ChengLong He, Gongshen Liu
2020	A*	`conf`	Online Anomalous Trajectory Detection with Deep Generative Sequence Modeling. ICDE Yiding Liu, Kaiqi Zhao, Gao Cong, Zhifeng Bao
2020	A*	`conf`	Predicting and Diagnosing User Engagement with Mobile UI Animation via a Data-Driven Approach. CHI Ziming Wu, Yulun Jiang, Yiding Liu, Xiaojuan Ma
2019	A*	`conf`	Interact and Decide: Medley of Sub-Attention Networks for Effective Group Recommendation. SIGIR Lucas Vinh Tran, Tuan-Anh Nguyen Pham, Yi Tay, Yiding Liu, Gao Cong, Xiaoli Li
2019	A*	`conf`	Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction. WWW Huaxiu Yao, Yiding Liu, Ying Wei, Xianfeng Tang, Zhenhui Li
2019	J	`jnl`	Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction. CoRR Huaxiu Yao, Yiding Liu, Ying Wei, Xianfeng Tang, Zhenhui Li
2018	—	`conf`	Affinity Derivation and Graph Merge for Instance Segmentation. ECCV (3) Yiding Liu, Siyu Yang, Bin Li, Wengang Zhou, Jizheng Xu, Houqiang Li, Yan Lu
2018	J	`jnl`	Affinity Derivation and Graph Merge for Instance Segmentation. CoRR Yiding Liu, Siyu Yang, Bin Li, Wengang Zhou, Jizheng Xu, Houqiang Li, Yan Lu
2018	A*	`conf`	Efficient Similar Region Search with Deep Metric Learning. KDD Yiding Liu, Kaiqi Zhao, Gao Cong
2017	J	`jnl`	An Experimental Evaluation of Point-of-interest Recommendation in Location-based Social Networks. Proc. VLDB Endow. Yiding Liu, Tuan-Anh Nguyen Pham, Gao Cong, Quan Yuan
2017	B	`conf`	Quasi rate distortion optimization for binary hashing. ICIP Yiding Liu, Wengang Zhou, Houqiang Li
2016	J	`jnl`	A System for Region Search and Exploration. Proc. VLDB Endow. Kaiyu Feng, Kaiqi Zhao, Yiding Liu, Gao Cong
2016	J	`jnl`	Correlation between social proximity and mobility similarity. CoRR Chao Fan, Yiding Liu, Junming Huang, Zhihai Rong, Tao Zhou
2016	—	`conf`	Fast SNR and rate control for JPEG XR. ICSPCS Yiding Liu, Zixiang Xiong, Ligang Lu, Detlef Hohl
2016	J	`jnl`	Towards Personalized Maps: Mining User Preferences from Geo-textual Data. Proc. VLDB Endow. Kaiqi Zhao, Yiding Liu, Quan Yuan, Lisi Chen, Zhida Chen, Gao Cong
2015	J	`jnl`	Towards complexity analysis of User Authorization Query problem in RBAC. Comput. Secur. Jianfeng Lu, James B. D. Joshi, Lei Jin, Yiding Liu