Ziqi Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
69
Venues
31
Active years
2013–2026
Best venue rank
A*
Where they publish
- ACIKM9 papers
- A*AAAI8 papers
- A*CHI4 papers
- A*WWW4 papers
- A*ACL3 papers
- AWSDM3 papers
- A*KDD3 papers
- A*SIGIR3 papers
- A*IJCAI3 papers
- AAISTATS2 papers
- A*ICDE2 papers
- A*INFOCOM2 papers
- A*EMNLP2 papers
- BICPR2 papers
- ARecSys2 papers
- ASDM2 papers
- NationalHCI1 paper
- A*ICCV1 paper
- A*ICLR1 paper
- BICONIP1 paper
- BIJCNN1 paper
- CISCAS1 paper
- AustralasianADC1 paper
- AECAI1 paper
- ANAACL1 paper
- CAPWEB1 paper
- BDASFAA1 paper
- A*ICRA1 paper
- BPAKDD1 paper
- A*CCS1 paper
- CIECON1 paper
Papers
69 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | SEVADE: Self-Evolving Multi-Agent Analysis with Decoupled Evaluation for Hallucination-Resistant Sarcasm Detection. | Ziqi Liu, Ziyang Zhou, Yilin Li, Mingxuan Hu, Yushan Pan, Zhijie Xu, Yangbin Chen |
| 2026 | ACL | RAM-SD: Retrieval-Augmented Multi-agent framework for Sarcasm Detection. | Ziyang Zhou, Ziqi Liu, Yan Wang, Yiming Lin, Yangbin Chen |
| 2026 | CHI | AskNow: An LLM-powered Interactive System for Real-Time Question Answering in Large-Scale Classrooms. | Ziqi Liu, Yuankun Wang, Hui-Ru Ho, Yuheng Wu, Yuhang Zhao, Bilge Mutlu |
| 2026 | WWW | Token-level Collaborative Alignment for LLM-based Generative Recommendation. | Fake Lin, Binbin Hu, Zhi Zheng, Xi Zhu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Tong Xu |
| 2026 | WWW | Predictability-Aware Compression and Decompression Framework for Multichannel Time Series Data with Latent Seasonality. | Ziqi Liu, Pei Zeng, Yi Ding |
| 2025 | AAAI | Tokenization, Fusion, and Augmentation: Towards Fine-grained Multi-modal Entity Representation. | Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen |
| 2025 | AAAI | Bagging-Expert Network for Multi-Task Learning: A Depolarization Solution in Multi-Gate Mixture-of-Experts. | Gong-Duo Zhang, Ruiqing Chen, Qian Zhao, Zhengwei Wu, Fengyu Han, Huan-Yi Su, Ziqi Liu, Lihong Gu, Lin Zhou |
| 2025 | AAAI | TGLsta: Low-resource Textual Graph Learning with Semantic and Topological Awareness via LLMs. | Qin Zhang, Xiaowei Li, Ziqi Liu, Xiaochen Fan, Xiaojun Chen, Shirui Pan |
| 2025 | ACL | Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering. | Xinyu Tang, Xiaolei Wang, Zhihao Lv, Yingqian Min, Xin Zhao, Binbin Hu, Ziqi Liu, Zhiqiang Zhang |
| 2025 | AISTATS | FreqMoE: Enhancing Time Series Forecasting through Frequency Decomposition Mixture of Experts. | Ziqi Liu |
| 2025 | CHI | SET-PAiREd: Designing for Parental Involvement in Learning with an AI-Assisted Educational Robot. | Hui-Ru Ho, Nitigya Kargeti, Ziqi Liu, Bilge Mutlu |
| 2025 | CHI | Enhancing Smartphone Eye Tracking with Cursor-Based Interactive Implicit Calibration. | Chang Liu, Xiangyang Wang, Chun Yu, Yingtian Shi, Chongyang Wang, Ziqi Liu, Chen Liang, Yuanchun Shi |
| 2025 | CHI | AroMR: Decentralizing Olfactory Displays into the Environment for Olfactory-Augmented Experiences in Mixed Reality. | Yibo Wang, Ziqi Liu, Jiao Xue, Qi Lu |
| 2025 | CIKM | Arrows of Math Reasoning Data Synthesis for Large Language Models: Diversity, Complexity and Correctness. | Sirui Chen, Changxin Tian, Binbin Hu, Kunlong Chen, Ziqi Liu, Zhiqiang Zhang, Jun Zhou |
| 2025 | HCI | Evaluating the Secondary Emotional Impact of Traditional and AI-Generated Artwork Outcomes Through Emotional Feedback. | Qi Zhu, Qian Bao, Na Liang, Ziqi Liu |
| 2025 | ICCV | OpenRSD: Towards Open-Prompts for Object Detection in Remote Sensing Images. | Ziyue Huang, Yongchao Feng, Ziqi Liu, Shuai Yang, Qingjie Liu, Yunhong Wang |
| 2025 | ICDE | Effectively PAIRing LLMs with Online Marketing via Progressive Prompting Augmentation. | Chunjing Gan, Dan Yang, Binbin Hu, Ziqi Liu, Yue Shen, Zhiqiang Zhang, Jinjie Gu, Jun Zhou, Guannan Zhang |
| 2025 | ICLR | Multiple Heads are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learning. | Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen |
| 2025 | ICONIP | CAF-I: A Collaborative Multi-agent Framework for Enhanced Irony Detection with Large Language Models. | Ziqi Liu, Ziyang Zhou, Mingxuan Hu, Yangbin Chen, Zhijie Xu |
| 2025 | IJCNN | MFWNet: Optimizing UAV-based Detection of Wheat Fusarium Head Blight Using Multi-scale Feature Fusion and Wavelet Convolution. | Jialin Li, Feilong Li, Dongxiang Li, Mingchen Feng, Ben Gu, Ziqi Liu, Jiange Wang, Rui Mao |
| 2025 | INFOCOM | Optic Fingerprint(OFP): Enhancing Security in Li-Fi Networks. | Ziqi Liu, Xuanbang Chen, Xun Zhang |
| 2025 | ISCAS | Enhanced Thermal-Resistant Fingerprint Model for Device Identification in OWC System. | Xuanbang Chen, Ziqi Liu, Yuhao Wang, Chunlai Dai, Xun Zhang |
| 2025 | WSDM | Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data. | Binbin Hu, Zhicheng An, Zhengwei Wu, Ke Tu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Yufei Feng, Jiawei Chen |
| 2024 | AAAI | MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction. | Hao Qian, Hongting Zhou, Qian Zhao, Hao Chen, Hongxiang Yao, Jingwei Wang, Ziqi Liu, Fei Yu, Zhiqiang Zhang, Jun Zhou |
| 2024 | CIKM | The Devil is in the Sources! Knowledge Enhanced Cross-Domain Recommendation in an Information Bottleneck Perspective. | Binbin Hu, Weifan Wang, Shuhan Wang, Ziqi Liu, Bin Shen, Yong He, Jiawei Chen |
| 2024 | CIKM | Time-Sensitve Retrieval-Augmented Generation for Question Answering. | Feifan Wu, Lingyuan Liu, Wentao He, Ziqi Liu, Zhiqiang Zhang, Haofen Wang, Meng Wang |
| 2024 | CIKM | Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph. | Qian Zhao, Hao Qian, Ziqi Liu, Gong-Duo Zhang, Lihong Gu |
| 2024 | EMNLP | Knowledge-augmented Financial Market Analysis and Report Generation. | Yuemin Chen, Feifan Wu, Jingwei Wang, Hao Qian, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Meng Wang |
| 2024 | EMNLP | Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs. | Junjie Wang, Mingyang Chen, Binbin Hu, Dan Yang, Ziqi Liu, Yue Shen, Peng Wei, Zhiqiang Zhang, Jinjie Gu, Jun Zhou, Jeff Z. Pan, Wen Zhang, Huajun Chen |
| 2024 | ICPR | A Coverless Steganography of Face Privacy Protection with Diffusion Models. | Yuan Guo, Ziqi Liu |
| 2024 | ICPR | ICPR 2024 Competition on Resource-Limited Infrared Small Target Detection Challenge: Methods and Results. | Boyang Li, Xinyi Ying, Ruojing Li, Yongxian Liu, Yangsi Shi, Miao Li, Xin Zhang, Mingyuan Hu, Chenyang Wu, Yukai Zhang, Hui Wei, Dongli Tang, Jian Zhao, Lei Jin, Chao Xiao, Qiang Ling, Zaiping Lin, Weidong Sheng, Weixing Li, Chenxu Peng, Wei Ke, Yuhang He, Huoren Yang, Lingjie Liu, Ziqi Liu, Zelin Shi, Yunpeng Liu, Chuang Yu, Jinmiao Zhao, Shan Yang, Heng Xiang, You Li, Guoqing Wang, Tianyu Li, Minghang Zhou, Chenxi Lan, Dongyu Xi, Chaofan Qiao, Yupeng Gao, Yongxu Liu, Wei Feng, Zhihao Ma, Deping Chen, Xiaopeng Song, Jiuping Yang, Zhaobing Qiu, Rixiang Ni, Changhai Luo, Ye Lin, Shuyuan Zheng, Baojin Huang, Xiaoqi Zhou, Qingshan Guo, Xuyang Zhang, Xiuhong Li, Dangxuan Wu, Jian Ma, Haodong Zeng, Luyao Wang, Qiang Fu, Yimian Dai, Renke Kou, Jian Song, Changfeng Feng, Zihao Xiong, Mengxuan Xiao, Hong Huang, Yingxu Liu, Quanyi Zhao |
| 2024 | INFOCOM | Optic Fingerprint: Enhancing Security in Visible Light Communication Networks. | Xuanbang Chen, Ziqi Liu, Xun Zhang, Yuhao Wang, Dayu Shi, Xiaodong Liu |
| 2024 | KDD | Enhancing Pre-Ranking Performance: Tackling Intermediary Challenges in Multi-Stage Cascading Recommendation Systems. | Jianping Wei, Yujie Zhou, Zhengwei Wu, Ziqi Liu |
| 2024 | RecSys | ReLand: Integrating Large Language Models' Insights into Industrial Recommenders via a Controllable Reasoning Pool. | Changxin Tian, Binbin Hu, Chunjing Gan, Haoyu Chen, Zhuo Zhang, Li Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Jiawei Chen |
| 2024 | WWW | Can Small Language Models be Good Reasoners for Sequential Recommendation? | Yuling Wang, Changxin Tian, Binbin Hu, Yanhua Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Liang Pang, Xiao Wang |
| 2024 | SIGIR | NativE: Multi-modal Knowledge Graph Completion in the Wild. | Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen |
| 2023 | ADC | Influence Maximization Revisited. | Yihan Geng, Kunyu Wang, Ziqi Liu, Michael Yu, Jeffrey Xu Yu |
| 2023 | ECAI | Degradation-Resistant Offline Optimization via Accumulative Risk Control. | Huakang Lu, Hong Qian, Yupeng Wu, Ziqi Liu, Ya-Lin Zhang, Aimin Zhou, Yang Yu |
| 2023 | WWW | Online resource allocation in Markov Chains. | Jianhao Jia, Hao Li, Kai Liu, Ziqi Liu, Jun Zhou, Nikolai Gravin, Zhihao Gavin Tang |
| 2023 | SIGIR | COUPA: An Industrial Recommender System for Online to Offline Service Platforms. | Sicong Xie, Binbin Hu, Fengze Li, Ziqi Liu, Zhiqiang Zhang, Wenliang Zhong, Jun Zhou |
| 2023 | WSDM | AntTS: A Toolkit for Time Series Forecasting in Industrial Scenarios. | Jianping Wei, Zhibo Zhu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou |
| 2022 | CIKM | A Real-time Post-processing System for Itinerary Recommendation. | Linge Jiang, Guiyang Wang, Zhibo Zhu, Binghao Wang, Runsheng Gan, Ziqi Liu, Jun Zhou |
| 2022 | CIKM | A Practical Distributed ADMM Solver for Billion-Scale Generalized Assignment Problems. | Jun Zhou, Feng Qi, Zhigang Hua, Daohong Jian, Ziqi Liu, Hua Wu |
| 2022 | ICDE | Intent Mining: A Social and Semantic Enhanced Topic Model for Operation-Friendly Digital Marketing. | Weifan Wang, Xiaocheng Cheng, Ziqi Liu, Yu Lin, Yue Shen, Binbin Hu, Zhiqiang Zhang, Xiaodong Zeng, Jun Zhou, Jinjie Gu, Minnan Luo |
| 2022 | IJCAI | Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification. | Chaochao Chen, Jun Zhou, Longfei Zheng, Huiwen Wu, Lingjuan Lyu, Jia Wu, Bingzhe Wu, Ziqi Liu, Li Wang, Xiaolin Zheng |
| 2022 | IJCAI | MERIT: Learning Multi-level Representations on Temporal Graphs. | Binbin Hu, Zhengwei Wu, Jun Zhou, Ziqi Liu, Zhigang Huangfu, Zhiqiang Zhang, Chaochao Chen |
| 2022 | NAACL | A Corpus for Understanding and Generating Moral Stories. | Jian Guan, Ziqi Liu, Minlie Huang |
| 2021 | AAAI | Joint Incentive Optimization of Customer and Merchant in Mobile Payment Marketing. | Li Yu, Zhengwei Wu, Tianchi Cai, Ziqi Liu, Zhiqiang Zhang, Lihong Gu, Xiaodong Zeng, Jinjie Gu |
| 2021 | APWEB | A Graph Attention Network Model for GMV Forecast on Online Shopping Festival. | Qianyu Yu, Shuo Yang, Zhiqiang Zhang, Ya-Lin Zhang, Binbin Hu, Ziqi Liu, Kai Huang, Xingyu Zhong, Jun Zhou, Yanming Fang |
| 2021 | CIKM | Learning Representations of Inactive Users: A Cross Domain Approach with Graph Neural Networks. | Ziqi Liu, Yue Shen, Xiaocheng Cheng, Qiang Li, Jianping Wei, Zhiqiang Zhang, Dong Wang, Xiaodong Zeng, Jinjie Gu, Jun Zhou |
| 2021 | DASFAA | LinkLouvain: Link-Aware A/B Testing and Its Application on Online Marketing Campaign. | Tianchi Cai, Daxi Cheng, Chen Liang, Ziqi Liu, Lihong Gu, Huizhi Xie, Zhiqiang Zhang, Xiaodong Zeng, Jinjie Gu |
| 2021 | IJCAI | User Retention: A Causal Approach with Triple Task Modeling. | Yang Zhang, Dong Wang, Qiang Li, Yue Shen, Ziqi Liu, Xiaodong Zeng, Zhiqiang Zhang, Jinjie Gu, Derek F. Wong |
| 2021 | ICRA | A Model-Free Synchronous Control of Humanoid Robot Finger. | Ziqi Liu, Li Jiang, Bin Yang, Chongyang Li, Ming Cheng, Shaowei Fan, Dapeng Yang |
| 2020 | KDD | Hubble: An Industrial System for Audience Expansion in Mobile Marketing. | Chenyi Zhuang, Ziqi Liu, Zhiqiang Zhang, Yize Tan, Zhengwei Wu, Zhining Liu, Jianping Wei, Jinjie Gu, Guannan Zhang, Jun Zhou, Yuan Qi |
| 2019 | AAAI | GeniePath: Graph Neural Networks with Adaptive Receptive Paths. | Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song, Yuan Qi |
| 2019 | CIKM | Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing. | Ziqi Liu, Dong Wang, Qianyu Yu, Zhiqiang Zhang, Yue Shen, Jian Ma, Wenliang Zhong, Jinjie Gu, Jun Zhou, Shuang Yang, Yuan Qi |
| 2019 | PAKDD | How Much Can A Retailer Sell? Sales Forecasting on Tmall. | Chaochao Chen, Ziqi Liu, Jun Zhou, Xiaolong Li, Yuan Qi, Yujing Jiao, Xingyu Zhong |
| 2019 | SIGIR | Uncovering Insurance Fraud Conspiracy with Network Learning. | Chen Liang, Ziqi Liu, Bin Liu, Jun Zhou, Xiaolong Li, Shuang Yang, Yuan Qi |
| 2018 | AAAI | Privacy Preserving Point-of-Interest Recommendation Using Decentralized Matrix Factorization. | Chaochao Chen, Ziqi Liu, Peilin Zhao, Jun Zhou, Xiaolong Li |
| 2018 | CIKM | Heterogeneous Graph Neural Networks for Malicious Account Detection. | Ziqi Liu, Chaochao Chen, Xinxing Yang, Jun Zhou, Xiaolong Li, Le Song |
| 2018 | KDD | Distributed Collaborative Hashing and Its Applications in Ant Financial. | Chaochao Chen, Ziqi Liu, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li |
| 2017 | AISTATS | Attributing Hacks. | Ziqi Liu, Alexander J. Smola, Kyle Soska, Yu-Xiang Wang, Qinghua Zheng |
| 2017 | CCS | POSTER: Neural Network-based Graph Embedding for Malicious Accounts Detection. | Ziqi Liu, Chaochao Chen, Jun Zhou, Xiaolong Li, Feng Xu, Tao Chen, Le Song |
| 2017 | IECON | Energy storage requirements of full-bridge modular multilevel converter with zero sequence voltage injection. | Cong Zhao, Yaohua Li, Georgios Konstantinou, Zixin Li, Ping Wang, Ming Lei, Fei Xu, Ziqi Liu |
| 2016 | WSDM | DiFacto: Distributed Factorization Machines. | Mu Li, Ziqi Liu, Alexander J. Smola, Yu-Xiang Wang |
| 2015 | RecSys | Fast Differentially Private Matrix Factorization. | Ziqi Liu, Yu-Xiang Wang, Alexander J. Smola |
| 2015 | SDM | Modeling Users' Adoption Behaviors with Social Selection and Influence. | Ziqi Liu, Fei Wang, Qinghua Zheng |
| 2014 | SDM | A Dynamic Nonparametric Model for Characterizing the Topical Communities in Social Streams. | Ziqi Liu, Qinghua Zheng, Fei Wang, Zhenhua Tian, Bo Li |
| 2013 | ACL | A Random Walk Approach to Selectional Preferences Based on Preference Ranking and Propagation. | Zhenhua Tian, Hengheng Xiang, Ziqi Liu, Qinghua Zheng |