Zhiwei Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
98
Venues
38
Active years
2017–2026
Best venue rank
A*
Where they publish
- ACIKM13 papers
- A*ACL10 papers
- A*WWW8 papers
- A*SIGIR7 papers
- A*EMNLP7 papers
- AWSDM4 papers
- MulticonferenceICASSP4 papers
- ASDM4 papers
- AECAI3 papers
- A*KDD3 papers
- A*ICLR2 papers
- ADATE2 papers
- CICARCV2 papers
- CIGARSS2 papers
- A*ECCV2 papers
- A*MICRO2 papers
- CDASC2 papers
- CCoDIT1 paper
- BCOLING1 paper
- NationalICIG1 paper
- BICTAI1 paper
- AMICCAI1 paper
- ANAACL1 paper
- AEACL1 paper
- A*ICSE1 paper
- AISSRE1 paper
- BPAKDD1 paper
- A*ICDM1 paper
- ARecSys1 paper
- BSIGdial1 paper
- AICWS1 paper
- BIWCMC1 paper
- AFAST1 paper
- A*ISCA1 paper
- A*CVPR1 paper
- BVTC1 paper
- A*AAAI1 paper
- CICA3PP1 paper
Papers
98 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | All That Glisters Is Not Gold: A Benchmark for Reference-Free Counterfactual Financial Misinformation Detection. | Yuechen Jiang, Zhiwei Liu, Yupeng Cao, Yueru He, Ziyang Xu, Chen Xu, Zhiyang Deng, Prayag Tiwari, Xi Chen, Alejandro Lopez-Lira, Jimin Huang, Junichi Tsujii, Sophia Ananiadou |
| 2026 | ACL | Same Claim, Different Judgment: Benchmarking Scenario-Induced Bias in Multilingual Financial Misinformation Detection. | Zhiwei Liu, Yupeng Cao, Yuechen Jiang, Mohsinul Kabir, Polydoros Giannouris, Chen Xu, Ziyang Xu, Tianlei Zhu, Md. Tariquzzaman, Triantafillos Papadopoulos, Yan Wang, Lingfei Qian, Xueqing Peng, Zhuohan Xie, Ye Yuan, Saeed Almheiri, Abdulrazzaq Alnajjar, Mingbin Chen, Harry Stuart, Paul Thompson, Prayag Tiwari, Alejandro Lopez-Lira, Xue Liu, Jimin Huang, Sophia Ananiadou |
| 2026 | ACL | RFS-Guard: Detecting Reasoning Hallucinations via Cross-Phase Routing Focus in Large Reasoning Models. | Zihang Liu, Zhouhua Fang, Hui Liu, Zhiwei Liu, Yong Li, Haishuai Wang |
| 2026 | ACL | MultiFinBen: Benchmarking Large Language Models for Multilingual and Multimodal Financial Application. | Xueqing Peng, Lingfei Qian, Yan Wang, Ruoyu Xiang, Yueru He, Yang Ren, Mingyang Jiang, Vincent Jim Zhang, Yuqing Guo, Jeff Zhao, Huan He, Yi Han, Yun Feng, Yuechen Jiang, Yupeng Cao, Haohang Li, Yangyang Yu, Xiaoyu Wang, Penglei Gao, Shengyuan Lin, Keyi Wang, Shanshan Yang, Yilun Zhao, Zhiwei Liu, Peng Lu, Jerry Huang, Suyuchen Wang, Triantafillos Papadopoulos, Polydoros Giannouris, Efstathia Soufleri, Nuo Chen, Zhiyang Deng, Heming Fu, Yijia Zhao, Mingquan Lin, Meikang Qiu, Kaleb E. Smith, Arman Cohan, Xiao-Yang Liu, Jimin Huang, Guojun Xiong, Alejandro Lopez-Lira, Xi Chen, Junichi Tsujii, Jian-Yun Nie, Sophia Ananiadou, Qianqian Xie |
| 2026 | ACL | Towards Scalable Lightweight GUI Agents via Multi-role Orchestration. | Ziwei Wang, Junjie Zheng, Leyang Yang, Sheng Zhou, Xiaoxuan Tang, Zhouhua Fang, Zhiwei Liu, Dajun Chen, Yong Li, Jiajun Bu |
| 2026 | ACL | Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training. | Kailai Yang, Xiao Liu, Lei Ji, Hao Li, Xiao Liang, Zhiwei Liu, Yeyun Gong, Peng Cheng, Mao Yang |
| 2026 | SIGIR | Efficient Memory Alignment for Long-term Conversational Information Seeking. | Qingyang Xu, Xiao Liu, Zhouhua Fang, Yong Li, Zhiwei Liu, Vincent Lee, Haishuai Wang |
| 2026 | SIGIR | Code-Based English Models Reveal Surprising Performance on Chinese QA Pair Extraction Task. | Jiajun Yu, Linghan Zheng, Hui Liu, Jiayuan Dong, Yue Shen, Zhiwei Liu, Yaozhen Liang, Yong Li, Haishuai Wang |
| 2026 | WSDM | AGP: Auto-Guided Prompt Refinement for Personalized Reranking in Recommender Systems. | Chen Wang, Mingdai Yang, Zhiwei Liu, Pan Li, Linsey Pang, Qingsong Wen, Philip S. Yu |
| 2025 | ACL | EXPLAIN: Enhancing Retrieval-Augmented Generation with Entity Summary. | Yaozhen Liang, Xiao Liu, Jiajun Yu, Zhouhua Fang, Qunsheng Zou, Linghan Zheng, Yong Li, Zhiwei Liu, Haishuai Wang |
| 2025 | ACL | RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning Based on Emotional Information. | Zhiwei Liu, Kailai Yang, Qianqian Xie, Christine de Kock, Sophia Ananiadou, Eduard H. Hovy |
| 2025 | ACL | PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data. | Juntao Tan, Liangwei Yang, Zuxin Liu, Zhiwei Liu, Rithesh R. N., Tulika Manoj Awalgaonkar, Jianguo Zhang, Weiran Yao, Ming Zhu, Shirley Kokane, Silvio Savarese, Huan Wang, Caiming Xiong, Shelby Heinecke |
| 2025 | CoDIT | Research on improved single-neuron adaptive PID control algorithm in plasma discharge system. | Hao Li, Fan Lei, Hui Zhou, Zhiwei Liu |
| 2025 | COLING | FinNLP-FNP-LLMFinLegal-2025 Shared Task: Financial Misinformation Detection Challenge Task. | Zhiwei Liu, Keyi Wang, Zhuo Bao, Xin Zhang, Jiping Dong, Kailai Yang, Mohsinul Kabir, Polydoros Giannouris, Rui Xing, Seongchan Park, Jaehong Kim, Dong Li, Qianqian Xie, Sophia Ananiadou |
| 2025 | ECAI | ConspEmoLLM-v2: A Robust and Stable Model to Detect Sentiment-Transformed Conspiracy Theories. | Zhiwei Liu, Paul Thompson, Jiaqi Rong, Sophia Ananiadou |
| 2025 | EMNLP | MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models. | Zhiwei Liu, Jielin Qiu, Shiyu Wang, Jianguo Zhang, Zuxin Liu, Roshan Ram, Haolin Chen, Weiran Yao, Shelby Heinecke, Silvio Savarese, Huan Wang, Caiming Xiong |
| 2025 | EMNLP | SlackAgents: Scalable Collaboration of AI Agents in Workspaces. | Zhiwei Liu, Weiran Yao, Zuxin Liu, Juntao Tan, Jianguo Zhang, Frank Wang, Sukhandeep Nahal, Huan Wang, Shelby Heinecke, Silvio Savarese, Caiming Xiong |
| 2025 | EMNLP | LATTE: Learning to Think with Vision Specialists. | Zixian Ma, Jianguo Zhang, Zhiwei Liu, Jieyu Zhang, Juntao Tan, Manli Shu, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Caiming Xiong, Ranjay Krishna, Silvio Savarese |
| 2025 | EMNLP | Selective Preference Optimization via Token-Level Reward Function Estimation. | Kailai Yang, Zhiwei Liu, Qianqian Xie, Jimin Huang, Erxue Min, Sophia Ananiadou |
| 2025 | EMNLP | ActionStudio: A Lightweight Framework for Data and Training of Large Action Models. | Jianguo Zhang, Thai Hoang, Ming Zhu, Zuxin Liu, Shiyu Wang, Tulika Awalgaonkar, Akshara Prabhakar, Haolin Chen, Weiran Yao, Zhiwei Liu, Juntao Tan, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong |
| 2025 | ICASSP | VLIMNet: A Visible Light And Infrared Image Matching Network Based On Segment Anything Model And SuperPoint. | Zhongyuan Chen, Zhan Zhang, Decheng Zuo, Ning Wang, Liufeng Fan, Zhiwei Liu |
| 2025 | ICIG | TEI-Face: A Temporal Expression and Identity Stability Oriented Face Swapping. | Biying Li, Zhiwei Liu, Jinqiao Wang |
| 2025 | ICLR | Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents. | Kexun Zhang, Weiran Yao, Zuxin Liu, Yihao Feng, Zhiwei Liu, Rithesh R. N., Tian Lan, Lei Li, Renze Lou, Jiacheng Xu, Bo Pang, Yingbo Zhou, Shelby Heinecke, Silvio Savarese, Huan Wang, Caiming Xiong |
| 2025 | ICTAI | LLMMutation: Mutation Testing for Large Language Models. | Zhiwei Liu, Xinhong Duan, Zhanqi Cui, Zheng Zeng |
| 2025 | KDD | The 4th Workshop on AI Agent for Information Retrieval: Generating and Ranking. | Qingsong Wen, Yongfeng Zhang, Zhiwei Liu, Julian J. McAuley, Hua Wei, Linsey Pang, Wei Liu, Philip S. Yu |
| 2025 | MICCAI | Dataset, Baseline and Evaluation Design for GAVE Challenge. | Zhiwei Liu, Huihui Fang, Shandi Liu, Ping Zhang, Wenqun Xi, Changjian Wu, Zihao Zhong, Xinyu Fu, Qifan Yang, Xiangyu Chen, Mengxiong Luo, Xinya Hu, Jiongning Zhao, Mingkui Tan, Weihua Yang, Yanwu Xu |
| 2025 | NAACL | xLAM: A Family of Large Action Models to Empower AI Agent Systems. | Jianguo Zhang, Tian Lan, Ming Zhu, Zuxin Liu, Thai Hoang, Shirley Kokane, Weiran Yao, Juntao Tan, Akshara Prabhakar, Haolin Chen, Zhiwei Liu, Yihao Feng, Tulika Manoj Awalgaonkar, Rithesh R. N., Zeyuan Chen, Ran Xu, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong |
| 2025 | WWW | Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems. | Yuwei Cao, Liangwei Yang, Zhiwei Liu, Yuqing Liu, Chen Wang, Yueqing Liang, Hao Peng, Philip S. Yu |
| 2025 | WWW | FMDLlama: Financial Misinformation Detection Based on Large Language Models. | Zhiwei Liu, Xin Zhang, Kailai Yang, Qianqian Xie, Jimin Huang, Sophia Ananiadou |
| 2025 | WWW | The 3rd Workshop on AI Agent for Information Retrieval: Generating and Ranking. | Qingsong Wen, Yongfeng Zhang, Zhiwei Liu, Julian J. McAuley, Hua Wei, Linsey Pang, Wei Liu, Philip S. Yu |
| 2025 | WWW | Training Large Recommendation Models via Graph-Language Tokens Alignment. | Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu |
| 2025 | SDM | CoMAL: Collaborative Multi-Agent Large Language Models for Mixed-Autonomy Traffic. | Huaiyuan Yao, Longchao Da, Vishnu Nandam, Justin Turnau, Zhiwei Liu, Linsey Pang, Hua Wei |
| 2024 | CIKM | Collaborative Alignment for Recommendation. | Chen Wang, Liangwei Yang, Zhiwei Liu, Xiaolong Liu, Mingdai Yang, Yueqing Liang, Philip S. Yu |
| 2024 | CIKM | AI Agent for Information Retrieval: Generating and Ranking. | Yongfeng Zhang, Zhiwei Liu, Qingsong Wen, Linsey Pang, Wei Liu, Philip S. Yu |
| 2024 | DATE | AFPR-CIM: An Analog-Domain Floating-Point RRAM -based Compute- In- Memory Architecture with Dynamic Range Adaptive FP-ADC. | Haobo Liu, Zhengyang Qian, Wei Wu, Hongwei Ren, Zhiwei Liu, Leibin Ni |
| 2024 | EACL | DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI. | Jianguo Zhang, Kun Qian, Zhiwei Liu, Shelby Heinecke, Rui Meng, Ye Liu, Zhou Yu, Huan Wang, Silvio Savarese, Caiming Xiong |
| 2024 | ECAI | Differentiable Neural Network for Assembling Blocks. | Zhiwei Liu, Qiang Lu, Yibo Zhao, Yanhong Zhao, Jake Luo |
| 2024 | ECAI | ConspEmoLLM: Conspiracy Theory Detection Using an Emotion-Based Large Language Model. | Zhiwei Liu, Boyang Liu, Paul Thompson, Kailai Yang, Sophia Ananiadou |
| 2024 | ICARCV | Distributed Event-Triggered Nonconvex Optimization under Polyak-Łojasiewicz Condition. | Chao Gao, Lei Xu, Kunpeng Zhang, Yuzhe Li, Zhiwei Liu, Tao Yang |
| 2024 | ICARCV | Distributed Predefined-Time Optimal Control Algorithm for Nonconvex Optimization of MASs. | Jing-Zhe Xu, Zhiwei Liu, Dandan Hu, Xiaokang Liu, Guanghui Wen, Tao Yang |
| 2024 | ICASSP | PFDM: Parser-Free Virtual Try-On via Diffusion Model. | Yunfang Niu, Dong Yi, Lingxiang Wu, Zhiwei Liu, Pengxiang Cai, Jinqiao Wang |
| 2024 | ICLR | Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization. | Weiran Yao, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Yihao Feng, Le Xue, Rithesh R. N., Zeyuan Chen, Jianguo Zhang, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese |
| 2024 | ICSE | CodeFuse-13B: A Pretrained Multi-lingual Code Large Language Model. | Peng Di, Jianguo Li, Hang Yu, Wei Jiang, Wenting Cai, Yang Cao, Chaoyu Chen, Dajun Chen, Hongwei Chen, Liang Chen, Gang Fan, Jie Gong, Zi Gong, Wen Hu, Tingting Guo, Zhichao Lei, Ting Li, Zheng Li, Ming Liang, Cong Liao, Bingchang Liu, Jiachen Liu, Zhiwei Liu, Shaojun Lu, Min Shen, Guangpei Wang, Huan Wang, Zhi Wang, Zhaogui Xu, Jiawei Yang, Qing Ye, Gehao Zhang, Yu Zhang, Zelin Zhao, Xunjin Zheng, Hailian Zhou, Lifu Zhu, Xianying Zhu |
| 2024 | ISSRE | SparseRCA: Unsupervised Root Cause Analysis in Sparse Microservice Testing Traces. | Zhenhe Yao, Haowei Ye, Changhua Pei, Guang Cheng, Guangpei Wang, Zhiwei Liu, Hongwei Chen, Hang Cui, Zeyan Li, Jianhui Li, Gaogang Xie, Dan Pei |
| 2024 | KDD | EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis. | Zhiwei Liu, Kailai Yang, Qianqian Xie, Tianlin Zhang, Sophia Ananiadou |
| 2024 | KDD | Pre-Training with Transferable Attention for Addressing Market Shifts in Cross-Market Sequential Recommendation. | Chen Wang, Ziwei Fan, Liangwei Yang, Mingdai Yang, Xiaolong Liu, Zhiwei Liu, Philip S. Yu |
| 2024 | PAKDD | Conditional Denoising Diffusion for Sequential Recommendation. | Yu Wang, Zhiwei Liu, Liangwei Yang, Philip S. Yu |
| 2024 | SIGIR | Instruction-based Hypergraph Pretraining. | Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu |
| 2024 | WSDM | Knowledge Graph Context-Enhanced Diversified Recommendation. | Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Mingdai Yang, Chen Wang, Hao Peng, Philip S. Yu |
| 2024 | WSDM | Unified Pretraining for Recommendation via Task Hypergraphs. | Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu |
| 2024 | SDM | Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training. | Juntao Tan, Shelby Heinecke, Zhiwei Liu, Yongjun Chen, Yongfeng Zhang, Huan Wang |
| 2024 | SDM | Semi-Supervised Clustering via Structural Entropy with Different Constraints. | Guangjie Zeng, Hao Peng, Angsheng Li, Zhiwei Liu, Runze Yang, Chunyang Liu, Lifang He |
| 2023 | ACL | CHEER: Centrality-aware High-order Event Reasoning Network for Document-level Event Causality Identification. | Meiqi Chen, Yixin Cao, Yan Zhang, Zhiwei Liu |
| 2023 | CIKM | Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training. | Ziwei Fan, Zhiwei Liu, Shelby Heinecke, Jianguo Zhang, Huan Wang, Caiming Xiong, Philip S. Yu |
| 2023 | CIKM | Graph-based Alignment and Uniformity for Recommendation. | Liangwei Yang, Zhiwei Liu, Chen Wang, Mingdai Yang, Xiaolong Liu, Jing Ma, Philip S. Yu |
| 2023 | CIKM | Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning. | Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu |
| 2023 | ICASSP | Hierarchical Hypergraph Recurrent Attention Network for Temporal Knowledge Graph Reasoning. | Jiayan Guo, Meiqi Chen, Yan Zhang, Jianqiang Huang, Zhiwei Liu |
| 2023 | ICDM | Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs. | Guangjie Zeng, Hao Peng, Angsheng Li, Zhiwei Liu, Chunyang Liu, Philip S. Yu, Lifang He |
| 2023 | IGARSS | A Preliminary Assessment of ZY1-02E's Hyperspectral Data Application for Inland Water Clarity Retrieval. | Yao Liu, Lina Dong, Zhiwei Liu |
| 2023 | IGARSS | Water Extraction Based On Hyperspectral Data Onboard Chinese Zy1-02e Satellite. | Zhiwei Liu, Yao Liu |
| 2023 | RecSys | Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation. | Yuwei Cao, Liangwei Yang, Chen Wang, Zhiwei Liu, Hao Peng, Chenyu You, Philip S. Yu |
| 2023 | WWW | Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation. | Ziwei Fan, Zhiwei Liu, Hao Peng, Philip S. Yu |
| 2023 | WSDM | Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph. | Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu |
| 2023 | SIGdial | Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System. | Jianguo Zhang, Stephen Roller, Kun Qian, Zhiwei Liu, Rui Meng, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong |
| 2022 | CIKM | ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation. | Yu Wang, Hengrui Zhang, Zhiwei Liu, Liangwei Yang, Philip S. Yu |
| 2022 | CIKM | Deep Presentation Bias Integrated Framework for CTR Prediction. | Jianqiang Huang, Xingyuan Tang, Zhe Wang, Shaolin Jia, Yin Bai, Zhiwei Liu, Jia Cheng, Jun Lei, Yan Zhang |
| 2022 | CIKM | Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees. | Jiaqian Ren, Lei Jiang, Hao Peng, Lingjuan Lyu, Zhiwei Liu, Chaochao Chen, Jia Wu, Xu Bai, Philip S. Yu |
| 2022 | CIKM | Explanation Guided Contrastive Learning for Sequential Recommendation. | Lei Wang, Ee-Peng Lim, Zhiwei Liu, Tianxiang Zhao |
| 2022 | ICWS | Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory. | Jiaqian Ren, Lei Jiang, Hao Peng, Zhiwei Liu, Jia Wu, Philip S. Yu |
| 2022 | IWCMC | Self-coupling Encryption via Polar Codes for Secure Wireless Transmission. | Zhiwei Liu, Qinghe Du |
| 2022 | WWW | Intent Contrastive Learning for Sequential Recommendation. | Yongjun Chen, Zhiwei Liu, Jia Li, Julian J. McAuley, Caiming Xiong |
| 2022 | WWW | Sequential Recommendation via Stochastic Self-Attention. | Ziwei Fan, Zhiwei Liu, Yu Wang, Alice Wang, Zahra Nazari, Lei Zheng, Hao Peng, Philip S. Yu |
| 2022 | WWW | Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network. | Liangwei Yang, Zhiwei Liu, Yu Wang, Chen Wang, Ziwei Fan, Philip S. Yu |
| 2021 | CIKM | Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation. | Ziwei Fan, Zhiwei Liu, Shen Wang, Lei Zheng, Philip S. Yu |
| 2021 | CIKM | Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer. | Ziwei Fan, Zhiwei Liu, Jiawei Zhang, Yun Xiong, Lei Zheng, Philip S. Yu |
| 2021 | CIKM | DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN. | Yu Wang, Zhiwei Liu, Ziwei Fan, Lichao Sun, Philip S. Yu |
| 2021 | EMNLP | Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning. | Jian-Guo Zhang, Trung Bui, Seunghyun Yoon, Xiang Chen, Zhiwei Liu, Congying Xia, Quan Hung Tran, Walter Chang, Philip S. Yu |
| 2021 | EMNLP | PDALN: Progressive Domain Adaptation over a Pre-trained Model for Low-Resource Cross-Domain Named Entity Recognition. | Tao Zhang, Congying Xia, Philip S. Yu, Zhiwei Liu, Shu Zhao |
| 2021 | FAST | On the Feasibility of Parser-based Log Compression in Large-Scale Cloud Systems. | Junyu Wei, Guangyan Zhang, Yang Wang, Zhiwei Liu, Zhanyang Zhu, Junchao Chen, Tingtao Sun, Qi Zhou |
| 2021 | SIGIR | Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer. | Zhiwei Liu, Ziwei Fan, Yu Wang, Philip S. Yu |
| 2021 | SIGIR | ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation. | Liangwei Yang, Zhiwei Liu, Yingtong Dou, Jing Ma, Philip S. Yu |
| 2020 | CIKM | Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters. | Yingtong Dou, Zhiwei Liu, Li Sun, Yutong Deng, Hao Peng, Philip S. Yu |
| 2020 | DATE | Real-Time Energy Monitoring in IoT-enabled Mobile Devices. | Nitin Shivaraman, Seima Saki, Zhiwei Liu, Saravanan Ramanathan, Arvind Easwaran, Sebastian Steinhorst |
| 2020 | ECCV | Adaptive Variance Based Label Distribution Learning for Facial Age Estimation. | Xin Wen, Biying Li, Haiyun Guo, Zhiwei Liu, Guosheng Hu, Ming Tang, Jinqiao Wang |
| 2020 | ECCV | Identity-Guided Human Semantic Parsing for Person Re-identification. | Kuan Zhu, Haiyun Guo, Zhiwei Liu, Ming Tang, Jinqiao Wang |
| 2020 | ICASSP | A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations. | Aditya Mantha, Yokila Arora, Shubham Gupta, Praveenkumar Kanumala, Zhiwei Liu, Stephen D. Guo, Kannan Achan |
| 2020 | ISCA | GraphABCD: Scaling Out Graph Analytics with Asynchronous Block Coordinate Descent. | Yifan Yang, Zhaoshi Li, Yangdong Deng, Zhiwei Liu, Shouyi Yin, Shaojun Wei, Leibo Liu |
| 2020 | MICRO | CATCAM: Constant-time Alteration Ternary CAM with Scalable In-Memory Architecture. | Dibei Chen, Zhaoshi Li, Tianzhu Xiong, Zhiwei Liu, Jun Yang, Shouyi Yin, Shaojun Wei, Leibo Liu |
| 2020 | SIGIR | Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection. | Zhiwei Liu, Yingtong Dou, Philip S. Yu, Yutong Deng, Hao Peng |
| 2020 | SDM | BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network. | Zhiwei Liu, Mengting Wan, Stephen D. Guo, Kannan Achan, Philip S. Yu |
| 2019 | CVPR | Semantic Alignment: Finding Semantically Consistent Ground-Truth for Facial Landmark Detection. | Zhiwei Liu, Xiangyu Zhu, Guosheng Hu, Haiyun Guo, Ming Tang, Zhen Lei, Neil Martin Robertson, Jinqiao Wang |
| 2019 | DASC | Joint Power Control and Pilot Assignment Algorithm in Multi-cell Multi-user Massive MIMO Systems. | Wenjiang Feng, Yuxiang Lv, Qing Wu, Yajuan Guo, Zhiwei Liu, Xiaolong Bao |
| 2019 | DASC | An Efficient Synchronization Algorithm in OFDM-Based NB-IoT Systems. | Yuxiang Lv, Hao Qin, Zhiwei Liu, Yawen Dong, Wenjiang Feng, Weiyang Xu |
| 2019 | MICRO | FPGA-Accelerated Optimistic Concurrency Control for Transactional Memory. | Zhaoshi Li, Leibo Liu, Yangdong Deng, Jiawei Wang, Zhiwei Liu, Shouyi Yin, Shaojun Wei |
| 2019 | VTC | Cooperative Relaying with Energy Harvesting: Performance Analysis Using Extreme Value Theory. | Zhiwei Liu, Peiran Wu, Daniel B. da Costa, Minghua Xia |
| 2018 | AAAI | Learning Coarse-to-Fine Structured Feature Embedding for Vehicle Re-Identification. | Haiyun Guo, Chaoyang Zhao, Zhiwei Liu, Jinqiao Wang, Hanqing Lu |
| 2018 | ICA3PP | Parallel Communication Mechanisms in Solving Integral Equations for Electromagnetic Scattering Based on the Method of Moments. | Lan Song, Dennis K. Peters, Weimin Huang, Zhiwei Liu, Lixia Lei, Tangliu Wen |
| 2017 | SIGIR | Event Early Embedding: Predicting Event Volume Dynamics at Early Stage. | Zhiwei Liu, Yang Yang, Zi Huang, Fumin Shen, Dongxiang Zhang, Heng Tao Shen |