A Clustering-Based Channel Assignment Algorithm and Routing Metric for Multi-channel Wireless Mesh Networks. - Chao Liu; Zhongyi Liu; Yongqiang Liu; Huizhou Zhao; Tong Zhao 001; Wei Yan 007 (ISPA, 2007)

An analytical flow control scheme for real-time traffic in wireless mesh network: from theoretic model to practical mechanism. - Yongqiang Liu; Tong Zhao 001; Zhongyi Liu; Wei Yan 007; Xiaoming Li 001 (Mobility Conference, 2007)

An infeasible interior-point algorithm with full-Newton step for linear optimization. - Zhongyi Liu; Wenyu Sun (Numer. Algorithms, 2007)

An Opportunistic Approach to Enhance the Geo-graphical Source Routing Protocol for Vehicular Ad hoc Networks. - Zhongyi Liu; Jin-Guo Zhou; Tong Zhao 001; Wei Yan 007 (VTC Fall, 2009)

GOSR: geographical opportunistic source routing for VANETs. - Zhongyi Liu; Tong Zhao 001; Yan Wei; Xiaoming Li 001 (ACM SIGMOBILE Mob. Comput. Commun. Rev., 2009)

Metrics and Algorithms for Scheduling of Data Dissemination in Mesh Units Assisted Vehicular Networks. - Zhongyi Liu; Bin Liu; Wei Yan 007 (Wirel. Sens. Netw., 2009)

BFBD: A Bloom Filter based Buffering Data Dissemination algorithm for Vehicular Ad hoc Networks. - Tong Zhao 001; Zhongyi Liu; Wei Yan 007; Xiaoming Li 001 (CCNC, 2011)

A full-NT-step infeasible interior-point algorithm for SDP based on kernel functions. - Zhongyi Liu; Wenyu Sun (Appl. Math. Comput., 2011)

A Predictor-corrector algorithm with multiple corrections for convex quadratic programming. - Zhongyi Liu; Yue Chen; Wenyu Sun; Zhihui Wei (Comput. Optim. Appl., 2012)

Impacts of Inventory Billboard Effect on RFID Implementation Strategy. - Zhengping Wu; Zhongyi Liu; Xin Zhai (ES, 2014)

An iteratively approximated gradient projection algorithm for sparse signal reconstruction. - Zhongyi Liu; Zhihui Wei; Wenyu Sun (Appl. Math. Comput., 2014)

Scalable Graph Embedding for Asymmetric Proximity. - Chang Zhou; Yuqiong Liu; Xiaofei Liu; Zhongyi Liu; Jun Gao (AAAI, 2017)

Fast Parallel Path Concatenation for Graph Extraction. - Yingxia Shao; Kai Lei; Lei Chen 002; Zi Huang; Bin Cui 001; Zhongyi Liu; Yunhai Tong; Jin Xu 002 (IEEE Trans. Knowl. Data Eng., 2017)

信息隐藏中伪随机序列碰撞问题的算法改进 (Algorithm Improvement of Pseudo-random Sequence Collision in Information Hiding). - Zhongyi Liu; Xiangchen Shen; Lulin Ni; Chungen Xu (计算机科学, 2018)

Towards Realizing Authorized Encrypted Search with Designed Access Policy. - Lin Mei; Chungen Xu; Lei Xu 019; Zhongyi Liu; Xiaoling Yu; Zhigang Yao (SciSec, 2019)

Police staffing and workload assignment in law enforcement using multi-server queueing models. - Zhongyi Liu; Jingchen Liu; Xin Zhai; Guanying Wang (Eur. J. Oper. Res., 2019)

Forward Secure Conjunctive-Keyword Searchable Symmetric Encryption Using Shamir Threshold Secret Sharing Scheme. - Lin Li; Chungen Xu; Zhongyi Liu; Lin Mei (ATIS, 2020)

Attribute-Based Searchable Encryption Scheme with Fuzzy Keywords. - Xinyu Song; Zhan Zhou; Weijie Duan; Zhongyi Liu; Chungen Xu (SpaCCS, 2020)

DKEN: Deep knowledge-enhanced network for recommender systems. - Xiaobo Guo; Wenfang Lin; Youru Li; Zhongyi Liu; Lin Yang; Shuliang Zhao; Zhenfeng Zhu (Inf. Sci., 2020)

The Long-term and Spillover Effects of Price Promotions on Retailing Platforms: Evidence from a Large Randomized Experiment on Alibaba. - Dennis J. Zhang; Hengchen Dai; Lingxiu Dong; Fangfang Qi; Nannan Zhang; Xiaofei Liu; Zhongyi Liu; Jiang Yang (Manag. Sci., 2020)

Coordinating Vulnerable Supply Chains with Option Contracts. - Zhongyi Liu; Shengya Hua; Guanying Wang (Asia Pac. J. Oper. Res., 2021)

Benefits of third-party logistics firms as financing providers. - Shengya Hua; Shuxiao Sun; Zhongyi Liu; Xin Zhai (Eur. J. Oper. Res., 2021)

Keywords and Instances: A Hierarchical Contrastive Learning Framework Unifying Hybrid Granularities for Text Generation. - Mingzhe Li 001; Xiexiong Lin; Xiuying Chen; Jinxiong Chang; Qishen Zhang; Feng Wang; Taifeng Wang; Zhongyi Liu; Wei Chu; Dongyan Zhao 001; Rui Yan 001 (ACL (1), 2022)

Cross-Domain Product Search with Knowledge Graph. - Rui Zhu; Yiming Zhao; Wei Qu; Zhongyi Liu; Chenliang Li (CIKM, 2022)

Automatic Expert Selection for Multi-Scenario and Multi-Task Search. - Xinyu Zou; Zhi Hu; Yiming Zhao; Xuchu Ding; Zhongyi Liu; Chenliang Li; Aixin Sun (SIGIR, 2022)

Towards Better Hierarchical Text Classification with Data Generation. - Yue Wang 039; Dan Qiao; Juntao Li; Jinxiong Chang; Qishen Zhang; Zhongyi Liu; Guannan Zhang; Min Zhang 005 (ACL (Findings), 2023)

Beyond Semantics: Learning a Behavior Augmented Relevance Model with Self-supervised Learning. - Zeyuan Chen; Wei Chen 158; Jia Xu 013; Zhongyi Liu; Wei Zhang 056 (CIKM, 2023)

An Unified Search and Recommendation Foundation Model for Cold-Start Scenario. - Yuqi Gong; Xichen Ding; Yehui Su; Kaiming Shen; Zhongyi Liu; Guannan Zhang (CIKM, 2023)

Pre-training with Aspect-Content Text Mutual Prediction for Multi-Aspect Dense Retrieval. - Xiaojie Sun; Keping Bi; Jiafeng Guo; Xinyu Ma; Yixing Fan; Hongyu Shan; Qishen Zhang; Zhongyi Liu (CIKM, 2023)

Disentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation. - Ke Tu; Wei Qu; Zhengwei Wu; Zhiqiang Zhang 012; Zhongyi Liu; Yiming Zhao; Le Wu; Jun Zhou 011; Guannan Zhang (CIKM, 2023)

GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning. - Weifan Wang 005; Binbin Hu; Zhicheng Peng; Mingjie Zhong; Zhiqiang Zhang 012; Zhongyi Liu; Guannan Zhang; Jun Zhou 011 (ICDE, 2023)

Dual-Modal Attention-Enhanced Text-Video Retrieval with Triplet Partial Margin Contrastive Learning. - Chen Jiang 006; Hong Liu; Xuzheng Yu; Qing Wang 068; Yuan Cheng; Jia Xu 013; Zhongyi Liu; Qingpei Guo; Wei Chu; Ming Yang 007; Yuan Qi 001 (ACM Multimedia, 2023)

Unlocking Consumer Conversion: Insight for Designing Experience Products in a Platform Ecosystem. - Zhongyi Liu; Sungyong Um (PACIS, 2023)

Beyond Two-Tower: Attribute Guided Representation Learning for Candidate Retrieval. - Hongyu Shan; Qishen Zhang; Zhongyi Liu; Guannan Zhang; Chenliang Li (WWW, 2023)

VQGraph: Graph Vector-Quantization for Bridging GNNs and MLPs. - Ling Yang 006; Ye Tian; Minkai Xu; Zhongyi Liu; Shenda Hong; Wei Qu; Wentao Zhang 001; Bin Cui 001; Muhan Zhang; Jure Leskovec (CoRR, 2023)

Harnessing the Power of David against Goliath: Exploring Instruction Data Generation without Using Closed-Source Models. - Yue Wang 039; Xinrui Wang; Juntao Li; Jinxiong Chang; Qishen Zhang; Zhongyi Liu; Guannan Zhang; Min Zhang 005 (CoRR, 2023)

AntM2C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction. - Zhaoxin Huan; Ke Ding; Ang Li; Xiaolu Zhang; Xu Min; Yong He 009; Liang Zhang; Jun Zhou 011; Linjian Mo; Jinjie Gu; Zhongyi Liu; Wenliang Zhong; et al. (CoRR, 2023)

Learning Dynamic User Interest Sequence in Knowledge Graphs for Click-Through Rate Prediction. - Youru Li; Xiaobo Guo; Wenfang Lin; Mingjie Zhong; Qunwei Li; Zhongyi Liu; Wenliang Zhong; Zhenfeng Zhu (IEEE Trans. Knowl. Data Eng., 2023)

Debiasing In-Context Learning by Instructing LLMs How to Follow Demonstrations. - Lvxue Li; Jiaqi Chen; Xinyu Lu; Yaojie Lu 001; Hongyu Lin; Shuheng Zhou 001; Huijia Zhu; Weiqiang Wang; Zhongyi Liu; Xianpei Han; Le Sun 001 (ACL (Findings), 2024)

XMC-Agent : Dynamic Navigation over Scalable Hierarchical Index for Incremental Extreme Multi-label Classification. - Yanjiang Liu; Tianyun Zhong; Yaojie Lu 001; Hongyu Lin; Ben He; Shuheng Zhou 001; Huijia Zhu; Weiqiang Wang; Zhongyi Liu; Xianpei Han; Le Sun 001 (ACL (Findings), 2024)

Towards More Realistic Chinese Spell Checking with New Benchmark and Specialized Expert Model. - Yue Wang 039; Zilong Zheng; Juntao Li; Zhihui Liu; Jinxiong Chang; Qishen Zhang; Zhongyi Liu; Guannan Zhang; Min Zhang 005 (LREC/COLING, 2024)

Beyond Full Fine-tuning: Harnessing the Power of LoRA for Multi-Task Instruction Tuning. - Chunlei Xin; Yaojie Lu 001; Hongyu Lin; Shuheng Zhou 001; Huijia Zhu; Weiqiang Wang; Zhongyi Liu; Xianpei Han; Le Sun 001 (LREC/COLING, 2024)

Chain-of-Rewrite: Aligning Question and Documents for Open-Domain Question Answering. - Chunlei Xin; Yaojie Lu 001; Hongyu Lin; Shuheng Zhou 001; Huijia Zhu; Weiqiang Wang; Zhongyi Liu; Xianpei Han; Le Sun 001 (EMNLP (Findings), 2024)

Developing a Safety Motion Planning Model for General Users Based on Motion Planning with Speed Variation in Human-Industrial Robot Collaboration (HIRC). - Zhongyi Liu; Yi Zhao; Lynn Masuda (HRI (Companion), 2024)

The Role of Platform Governance in Shaping Consumer Engagement: The Case of STEAM Platform. - Zhongyi Liu; Sungyong Um (ICIS, 2024)

VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs. - Ling Yang 006; Ye Tian; Minkai Xu; Zhongyi Liu; Shenda Hong; Wei Qu; Wentao Zhang 001; Bin Cui 001; Muhan Zhang; Jure Leskovec (ICLR, 2024)

Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset. - Zhaoxin Huan; Ke Ding; Ang Li; Xiaolu Zhang; Xu Min; Yong He 009; Liang Zhang; Jun Zhou 011; Linjian Mo; Jinjie Gu; Zhongyi Liu; Wenliang Zhong; et al. (SIGIR, 2024)

LLMGR: Large Language Model-based Generative Retrieval in Alipay Search. - Wei Chen 158; Yixin Ji; Zeyuan Chen; Jia Xu 013; Zhongyi Liu (SIGIR, 2024)

Multi-Intent Attribute-Aware Text Matching in Searching. - Mingzhe Li 001; Xiuying Chen; Jing Xiang; Qishen Zhang; Changsheng Ma; Chenchen Dai; Jinxiong Chang; Zhongyi Liu; Guannan Zhang (WSDM, 2024)

A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense Retrieval. - Xiaojie Sun; Keping Bi; Jiafeng Guo; Sihui Yang; Qishen Zhang; Zhongyi Liu; Guannan Zhang; Xueqi Cheng (WSDM, 2024)

Towards Better Chinese Spelling Check for Search Engines: A New Dataset and Strong Baseline. - Yue Wang 039; Zilong Zheng; Zecheng Tang; Juntao Li; Zhihui Liu; Kunlong Chen; Jinxiong Chang; Qishen Zhang; Zhongyi Liu; Min Zhang 005 (WSDM, 2024)

Towards Alignment-Uniformity Aware Representation in Graph Contrastive Learning. - Rong Yan; Peng Bao; Xiao Zhang; Zhongyi Liu; Hui Liu (WSDM, 2024)

Unify Graph Learning with Text: Unleashing LLM Potentials for Session Search. - Songhao Wu; Quan Tu; Hong Liu; Jia Xu 013; Zhongyi Liu; Guannan Zhang; Ran Wang; Xiuying Chen; Rui Yan 001 (WWW, 2024)

SEMINAR: Search Enhanced Multi-modal Interest Network and Approximate Retrieval for Lifelong Sequential Recommendation. - Kaiming Shen; Xichen Ding; Zixiang Zheng; Yuqi Gong; Qianqian Li; Zhongyi Liu; Guannan Zhang (CoRR, 2024)

Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization. - Ling Yang 006; Jiayi Zheng; Heyuan Wang 001; Zhongyi Liu; Zhilin Huang; Shenda Hong; Wentao Zhang 001; Bin Cui 001 (IEEE Trans. Knowl. Data Eng., 2024)

Dynamic Graph Contrastive Learning via Maximize Temporal Consistency. - Peng Bao; Jianian Li; Rong Yan; Zhongyi Liu (Pattern Recognit., 2024)

Graphusion: Latent Diffusion for Graph Generation. - Ling Yang 006; Zhilin Huang; Zhilong Zhang; Zhongyi Liu; Shenda Hong; Wentao Zhang 001; Wenming Yang; Bin Cui 001; Luxia Zhang (IEEE Trans. Knowl. Data Eng., 2024)

Towards Boosting LLMs-driven Relevance Modeling with Progressive Retrieved Behavior-augmented Prompting. - Zeyuan Chen; Haiyan Wu; Kaixin Wu; Wei Chen 158; Mingjie Zhong; Jia Xu 013; Zhongyi Liu; Wei Zhang 056 (COLING (Industry), 2025)

Aligning Retrieval with Reader Needs: Reader-Centered Passage Selection for Open-Domain Question Answering. - Chunlei Xin; Shuheng Zhou 001; Xuanang Chen; Yaojie Lu 001; Huijia Zhu; Weiqiang Wang; Zhongyi Liu; Xianpei Han; Le Sun 001 (COLING, 2025)

CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search. - Kaixin Wu; Yixin Ji; Zeyuan Chen; Qiang Wang; Cunxiang Wang; Hong Liu; Baijun Ji; Jia Xu 013; Zhongyi Liu; Jinjie Gu; Yuan Zhou; Linjian Mo (NAACL (Industry Track), 2025)

Improving Subgraph Matching by Combining Algorithms and Graph Neural Networks. - Shuyang Guo; Wenjin Xie; Ping Lu; Ting Deng; Richong Zhang; Jianxin Li; Xiangping Huang; Zhongyi Liu (CoRR, 2025)