Haifeng Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
93
Venues
41
Active years
1999–2026
Best venue rank
A*
Where they publish
- A*AAAI10 papers
- A*WWW8 papers
- A*CVPR6 papers
- A*ISCA4 papers
- A*DAC3 papers
- ACIKM3 papers
- A*ICDE3 papers
- BIJCNN3 papers
- A*ECCV3 papers
- A*SIGIR3 papers
- A*ICML3 papers
- NationalAMIA3 papers
- A*VLDB3 papers
- A*ACL2 papers
- AEuroSys2 papers
- A*HPCA2 papers
- A*INFOCOM2 papers
- BCOLING2 papers
- MulticonferenceICASSP2 papers
- A*KDD2 papers
- AMiddleware2 papers
- A*IJCAI2 papers
- CDEXA2 papers
- CICANN1 paper
- A*ICLR1 paper
- AIROS1 paper
- AFPGA1 paper
- BICPP1 paper
- BICONIP1 paper
- A*SIGMOD1 paper
- CIGARSS1 paper
- CICCSA1 paper
- A*ICDM1 paper
- CSNPD1 paper
- ABPM1 paper
- CACC1 paper
- CAPSCC1 paper
- ASIGCSE1 paper
- MulticonferenceICCS1 paper
- BDASFAA1 paper
- BWISE1 paper
Papers
93 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | AgriEval: A Comprehensive Chinese Agricultural Benchmark for Large Language Models. | Lian Yan, Haotian Wang, Chen Tang, Haifeng Liu, Tianyang Sun, Liangliang Liu, Yi Guan, Jingchi Jiang |
| 2026 | ACL | One Token Is Enough: Improving Diffusion Language Models with a Sink Token. | Zihou Zhang, Zheyong Xie, Li Zhong, Haifeng Liu, Shaosheng Cao |
| 2026 | EuroSys | Gopher: Efficient Dynamic Graph Pattern Mining via DAG-Driven Execution. | Yi Zhang, Yu Huang, Chaoqiang Liu, Haifeng Liu, Juntao Chen, Jingrui Yuan, Jianhui Yue, Xiaofei Liao, Hai Jin, Jingling Xue |
| 2026 | HPCA | Adaptive Draft Sequence Length: Enhancing Speculative Decoding Throughput on PIM-Enabled Systems. | Runze Wang, Qinggang Wang, Haifeng Liu, Long Zheng, Xiaofei Liao, Hai Jin, Jingling Xue |
| 2026 | ISCA | Meridian: In-Memory Acceleration for RAG with Document Attention Decomposition. | Chaoqiang Liu, Yu Huang, Haifeng Liu, Yi Zhang, Qihang Qiu, Xueqi Li, Long Zheng, Xiaofei Liao, Hai Jin, Jingling Xue |
| 2025 | ACL | RLKGF: Reinforcement Learning from Knowledge Graph Feedback Without Human Annotations. | Lian Yan, Chen Tang, Yi Guan, Haotian Wang, Songyuan Wang, Haifeng Liu, Yang Yang, Jingchi Jiang |
| 2025 | DAC | SeIM: In-Memory Acceleration for Approximate Nearest Neighbor Search. | Chaoqiang Liu, Dan Chen, Yu Huang, Wenjing Xiao, Haifeng Liu, Yi Zhang, Huize Li, Xiaofei Liao, Hai Jin |
| 2025 | EuroSys | MetaHG: Enhancing HGNN Systems Leveraging Advanced Metapath Graph Abstraction. | Haiheng He, Haifeng Liu, Long Zheng, Yu Huang, Xinyang Shen, Wenkan Huang, Shuaihu Cao, Xiaofei Liao, Hai Jin, Jingling Xue |
| 2025 | HPCA | MeHyper: Accelerating Hypergraph Neural Networks by Exploring Implicit Dataflows. | Wenju Zhao, Pengcheng Yao, Dan Chen, Long Zheng, Xiaofei Liao, Qinggang Wang, Shaobo Ma, Yu Li, Haifeng Liu, Wenjing Xiao, Yufei Sun, Bing Zhu, Hai Jin, Jingling Xue |
| 2025 | ICANN | Balance Discriminability and Integrality for Robust Salient Object Detection. | Senbo Yan, Chuer Yu, Haifeng Liu, Deng Cai |
| 2025 | ICLR | Depth Any Video with Scalable Synthetic Data. | Honghui Yang, Di Huang, Wei Yin, Chunhua Shen, Haifeng Liu, Xiaofei He, Binbin Lin, Wanli Ouyang, Tong He |
| 2025 | INFOCOM | DACC: Data Augmentation for Learning-based Congestion Control. | Xiaojun Zhu, Jiawei Huang, Haifeng Liu, Zhaoyi Li, Yijun Li, Shengwen Zhou, Hui Li, Weihe Li, Jingling Liu, Wanchun Jiang |
| 2025 | IROS | Towards Label-Free 3D Visual Grounding with Vision Foundation Models. | Xiaopei Wu, Yuenan Hou, Binbin Lin, Xinge Zhu, Yuexin Ma, Haifeng Liu, Deng Cai, Xiao Sun |
| 2025 | ISCA | HeterRAG: Heterogeneous Processing-in-Memory Acceleration for Retrieval-augmented Generation. | Chaoqiang Liu, Haifeng Liu, Dan Chen, Yu Huang, Yi Zhang, Wenjing Xiao, Xiaofei Liao, Hai Jin |
| 2024 | AAAI | TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP without Training. | Yuqi Lin, Minghao Chen, Kaipeng Zhang, Hengjia Li, Mingming Li, Zheng Yang, Dongqin Lv, Binbin Lin, Haifeng Liu, Deng Cai |
| 2024 | AAAI | Semi-supervised 3D Object Detection with PatchTeacher and PillarMix. | Xiaopei Wu, Liang Peng, Liang Xie, Yuenan Hou, Binbin Lin, Xiaoshui Huang, Haifeng Liu, Deng Cai, Wanli Ouyang |
| 2024 | AAAI | Boosting Few-Shot Learning via Attentive Feature Regularization. | Xingyu Zhu, Shuo Wang, Jinda Lu, Yanbin Hao, Haifeng Liu, Xiangnan He |
| 2024 | CIKM | Enhancing the Completeness of Rationales for Multi-Step Question Answering. | Shangzi Xue, Zhenya Huang, Xin Lin, Jiayu Liu, Longhu Qin, Tianhuang Su, Haifeng Liu, Qi Liu |
| 2024 | COLING | MoDE-CoTD: Chain-of-Thought Distillation for Complex Reasoning Tasks with Mixture of Decoupled LoRA-Experts. | Xiang Li, Shizhu He, Jiayu Wu, Zhao Yang, Yao Xu, Yang jun Jun, Haifeng Liu, Kang Liu, Jun Zhao |
| 2024 | COLING | Towards Graph-hop Retrieval and Reasoning in Complex Question Answering over Textual Database. | Minjun Zhu, Yixuan Weng, Shizhu He, Kang Liu, Haifeng Liu, Yang jun Jun, Jun Zhao |
| 2024 | CVPR | TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation. | Xiaopei Wu, Yuenan Hou, Xiaoshui Huang, Binbin Lin, Tong He, Xinge Zhu, Yuexin Ma, Boxi Wu, Haifeng Liu, Deng Cai, Wanli Ouyang |
| 2024 | DAC | Towards Redundancy-Free Recommendation Model Training via Reusable-aware Near-Memory Processing. | Haifeng Liu, Long Zheng, Yu Huang, Haoyan Huang, Xiaofei Liao, Hai Jin |
| 2024 | ICASSP | Efficient Personal Voice Activity Detection with Wake Word Reference Speech. | Bang Zeng, Ming Cheng, Yao Tian, Haifeng Liu, Ming Li |
| 2024 | ICASSP | A Dual-Path Framework with Frequency-and-Time Excited Network for Anomalous Sound Detection. | Yucong Zhang, Juan Liu, Yao Tian, Haifeng Liu, Ming Li |
| 2024 | INFOCOM | Heroes: Lightweight Federated Learning with Neural Composition and Adaptive Local Update in Heterogeneous Edge Networks. | Jiaming Yan, Jianchun Liu, Shilong Wang, Hongli Xu, Haifeng Liu, Jianhua Zhou |
| 2024 | ISCA | Enabling Efficient Large Recommendation Model Training with Near CXL Memory Processing. | Haifeng Liu, Long Zheng, Yu Huang, Jingyi Zhou, Chaoqiang Liu, Runze Wang, Xiaofei Liao, Hai Jin, Jingling Xue |
| 2024 | WWW | A Knowledge-Injected Curriculum Pretraining Framework for Question Answering. | Xin Lin, Tianhuang Su, Zhenya Huang, Shangzi Xue, Haifeng Liu, Enhong Chen |
| 2023 | CVPR | CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation. | Yuqi Lin, Minghao Chen, Wenxiao Wang, Boxi Wu, Ke Li, Binbin Lin, Haifeng Liu, Xiaofei He |
| 2023 | DAC | MeG | Yu Huang, Long Zheng, Haifeng Liu, Zhuoran Zhou, Dan Chen, Pengcheng Yao, Qinggang Wang, Xiaofei Liao, Hai Jin |
| 2023 | FPGA | FNNG: A High-Performance FPGA-based Accelerator for K-Nearest Neighbor Graph Construction. | Chaoqiang Liu, Haifeng Liu, Long Zheng, Yu Huang, Xiangyu Ye, Xiaofei Liao, Hai Jin |
| 2023 | ICDE | AFaVS: Accurate Yet Fast Version Switching for Graph Processing Systems. | Long Zheng, Xiangyu Ye, Haifeng Liu, Qinggang Wang, Yu Huang, Chuangyi Gui, Pengcheng Yao, Xiaofei Liao, Hai Jin, Jingling Xue |
| 2023 | ICPP | Toward Optimal Repair and Load Balance in Locally Repairable Codes. | Hao Zhao, Si Wu, Haifeng Liu, Zhixiang Tang, Xiaochun He, Yinlong Xu |
| 2023 | IJCNN | GENet: Guidance Enhancement Network for 3D Shape Recognition. | Xiaofeng Wang, Qingzhe Cui, Lixiang Xu, Haifeng Liu, Lixin He, Bin Luo, Sibao Chen, Yuanyan Tang |
| 2023 | IJCNN | GLCNet: Global-Local Complementary Network for 3D Shape Recognition. | Xiaofeng Wang, Qingzhe Cui, Lixiang Xu, Haifeng Liu, Lixin He, Bin Luo, Sibao Chen, Yuanyan Tang |
| 2023 | IJCNN | UGTransformer: Unsupervised Graph Transformer Representation Learning. | Lixiang Xu, Haifeng Liu, Qingzhe Cui, Bin Luo, Ning Li, Yan Chen, Yuanyan Tang |
| 2023 | ISCA | Accelerating Personalized Recommendation with Cross-level Near-Memory Processing. | Haifeng Liu, Long Zheng, Yu Huang, Chaoqiang Liu, Xiangyu Ye, Jingrui Yuan, Xiaofei Liao, Hai Jin, Jingling Xue |
| 2023 | KDD | Learning Balanced Tree Indexes for Large-Scale Vector Retrieval. | Wuchao Li, Chao Feng, Defu Lian, Yuxin Xie, Haifeng Liu, Yong Ge, Enhong Chen |
| 2023 | KDD | Guiding Mathematical Reasoning via Mastering Commonsense Formula Knowledge. | Jiayu Liu, Zhenya Huang, Zhiyuan Ma, Qi Liu, Enhong Chen, Tianhuang Su, Haifeng Liu |
| 2022 | CVPR | Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion. | Xiaopei Wu, Liang Peng, Honghui Yang, Liang Xie, Chenxi Huang, Chengqi Deng, Haifeng Liu, Deng Cai |
| 2022 | ECCV | Lidar Point Cloud Guided Monocular 3D Object Detection. | Liang Peng, Fei Liu, Zhengxu Yu, Senbo Yan, Dan Deng, Zheng Yang, Haifeng Liu, Deng Cai |
| 2022 | ECCV | DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection. | Liang Peng, Xiaopei Wu, Zheng Yang, Haifeng Liu, Deng Cai |
| 2022 | ECCV | Convolutional Embedding Makes Hierarchical Vision Transformer Stronger. | Cong Wang, Hongmin Xu, Xiong Zhang, Li Wang, Zhitong Zheng, Haifeng Liu |
| 2022 | SIGIR | Price DOES Matter!: Modeling Price and Interest Preferences in Session-based Recommendation. | Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu, Hongfei Lin |
| 2021 | AAAI | RESA: Recurrent Feature-Shift Aggregator for Lane Detection. | Tu Zheng, Hao Fang, Yi Zhang, Wenjian Tang, Zheng Yang, Haifeng Liu, Deng Cai |
| 2021 | ICML | Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework. | Wenxiao Wang, Minghao Chen, Shuai Zhao, Long Chen, Jinming Hu, Haifeng Liu, Deng Cai, Xiaofei He, Wei Liu |
| 2021 | ICML | Class2Simi: A Noise Reduction Perspective on Learning with Noisy Labels. | Songhua Wu, Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Nannan Wang, Haifeng Liu, Gang Niu |
| 2020 | AAAI | Adversarial-Learned Loss for Domain Adaptation. | Minghao Chen, Shuai Zhao, Haifeng Liu, Deng Cai |
| 2020 | AAAI | Training-Time-Friendly Network for Real-Time Object Detection. | Zili Liu, Tu Zheng, Guodong Xu, Zheng Yang, Haifeng Liu, Deng Cai |
| 2020 | ICONIP | Improving Social Recommendations with Item Relationships. | Haifeng Liu, Hongfei Lin, Bo Xu, Liang Yang, Yuan Lin, Yonghe Chu, Wenqi Fan, Nan Zhao |
| 2019 | WWW | ?-Diagnosis: Unsupervised and Real-time Diagnosis of Small- window Long-tail Latency in Large-scale Microservice Platforms. | Huasong Shan, Yuan Chen, Haifeng Liu, Yunpeng Zhang, Xiao Xiao, Xiaofeng He, Min Li, Wei Ding |
| 2019 | SIGMOD | CFS: A Distributed File System for Large Scale Container Platforms. | Haifeng Liu, Wei Ding, Yuan Chen, Weilong Guo, Shuoran Liu, Tianpeng Li, Mofei Zhang, Jianxing Zhao, Hongyin Zhu, Zhengyi Zhu |
| 2018 | AAAI | PixelLink: Detecting Scene Text via Instance Segmentation. | Dan Deng, Haifeng Liu, Xuelong Li, Deng Cai |
| 2018 | IGARSS | Joint Distribution of Interferometric Phases for Multibaseline Insar. | Bo Yang, Huaping Xu, Shuo Li, Zening Song, Haifeng Liu |
| 2018 | Middleware | The Design and Implementation of a Real Time Visual Search System on JD E-commerce Platform. | Jie Li, Haifeng Liu, Chuanghua Gui, Jianyu Chen, Zhenyuan Ni, Ning Wang, Yuan Chen |
| 2018 | Middleware | A High Performance, Scalable DNS Service for Very Large Scale Container Cloud Platforms. | Haifeng Liu, Shugang Chen, Yongcheng Bao, Wanli Yang, Yuan Chen, Wei Ding, Huasong Shan |
| 2018 | SIGIR | Multi-level Deep Learning based e-Commerce Product Categorization. | Wenhu Yu, Zhiqiang Sun, Haifeng Liu, Zhipeng Li, Zhitong Zheng |
| 2017 | AAAI | TaGiTeD: Predictive Task Guided Tensor Decomposition for Representation Learning from Electronic Health Records. | Kai Yang, Xiang Li, Haifeng Liu, Jing Mei, Guo Tong Xie, Junfeng Zhao, Bing Xie, Fei Wang |
| 2017 | AMIA | Bootstrap-based Feature Selection to Balance Model Discrimination and Predictor Significance: A Study of Stroke Prediction in Atrial Fibrillation. | Xiang Li, Zhaonan Sun, Xin Du, Haifeng Liu, Gang Hu, Guotong Xie |
| 2017 | ICCSA | Transport Properties of Liquid Aluminum at High Pressure from Quantum Molecular Dynamics Simulations. | Shuaichuang Wang, Haifeng Liu |
| 2017 | IJCAI | What to Do Next: Modeling User Behaviors by Time-LSTM. | Yu Zhu, Hao Li, Yikang Liao, Beidou Wang, Ziyu Guan, Haifeng Liu, Deng Cai |
| 2017 | WWW | User Personalized Satisfaction Prediction via Multiple Instance Deep Learning. | Zheqian Chen, Ben Gao, Huimin Zhang, Zhou Zhao, Haifeng Liu, Deng Cai |
| 2016 | AMIA | Integrated Machine Learning Approaches for Predicting Ischemic Stroke and Thromboembolism in Atrial Fibrillation. | Xiang Li, Haifeng Liu, Xin Du, Ping Zhang, Gang Hu, Guo Tong Xie, Shijing Guo, Meilin Xu, Xiaoping Xie |
| 2016 | ICDM | Probabilistic-Mismatch Anomaly Detection: Do One's Medications Match with the Diagnoses. | Lingxiao Zhang, Xiang Li, Haifeng Liu, Jing Mei, Gang Hu, Junfeng Zhao, Yanzhen Zou, Bing Xie, Guotong Xie |
| 2016 | SNPD | Understanding and detecting performance and security bugs in IOT OSes. | Hongliang Liang, Qian Zhao, Yuying Wang, Haifeng Liu |
| 2015 | BPM | Case Analytics Workbench: Platform for Hybrid Process Model Creation and Evolution. | Yiqin Yu, Xiang Li, Haifeng Liu, Jing Mei, Nirmal Mukhi, Vatche Ishakian, Guotong Xie, Geetika T. Lakshmanan, Mike Marin |
| 2015 | WWW | AVER: Random Walk Based Academic Venue Recommendation. | Zhen Chen, Feng Xia, Huizhen Jiang, Haifeng Liu, Jun Zhang |
| 2014 | CIKM | Towards Pathway Variation Identification: Aligning Patient Records with a Care Pathway. | Haifeng Liu, Yang Liu, Xiang Li, Guo Tong Xie, Geetika T. Lakshmanan |
| 2014 | CVPR | Separable Kernel for Image Deblurring. | Lu Fang, Haifeng Liu, Feng Wu, Xiaoyan Sun, Houqiang Li |
| 2014 | WWW | Folksonomy based socially-aware recommendation of scholarly papers for conference participants. | Feng Xia, Nana Yaw Asabere, Haifeng Liu, Nakema Deonauth, Fengqi Li |
| 2014 | WWW | Multi-category item recommendation using neighborhood associations in trust networks. | Feng Xia, Haifeng Liu, Nana Yaw Asabere, Wei Wang, Zhuo Yang |
| 2012 | CVPR | Metric learning with two-dimensional smoothness for visual analysis. | Xinlei Chen, Zifei Tong, Haifeng Liu, Deng Cai |
| 2012 | CVPR | A-Optimal Non-negative Projection for image representation. | Haifeng Liu, Zheng Yang, Zhaohui Wu, Xuelong Li |
| 2011 | IJCAI | Locality-Constrained Concept Factorization. | Haifeng Liu, Zheng Yang, Zhaohui Wu |
| 2010 | AAAI | Non-Negative Matrix Factorization with Constraints. | Haifeng Liu, Zhaohui Wu |
| 2009 | AMIA | iSMART: Ontology-based Semantic Query of CDA Documents. | Shengping Liu, Yuan Ni, Jing Mei, Hanyu Li, Guo Tong Xie, Gang Hu, Haifeng Liu, Xueqiao Hou, Yue Pan |
| 2009 | CIKM | Trust relationship prediction using online product review data. | Nan Ma, Ee-Peng Lim, Viet-An Nguyen, Aixin Sun, Haifeng Liu |
| 2008 | ICDE | Building a web of trust without explicit trust ratings. | Young Ae Kim, Minh-Tam Le, Hady Wirawan Lauw, Ee-Peng Lim, Haifeng Liu, Jaideep Srivastava |
| 2007 | ACC | Weakly Fault-Tolerant Supervisory Control of Discrete Event Systems. | Qin Wen, Ratnesh Kumar, Jing Huang, Haifeng Liu |
| 2007 | APSCC | Enabling Mass Customization through Semantic Web Services. | Haifeng Liu, Wee Keong Ng, Bin Song, Xiang Li, Wen-Feng Lu |
| 2007 | SIGCSE | BabyOS: a fresh start. | Haifeng Liu, Xianglan Chen, Yuchang Gong |
| 2005 | ICCS | Performance Evaluation of Protein Sequence Clustering Tools. | Haifeng Liu, Loo-Nin Teow |
| 2005 | WWW | G-ToPSS: fast filtering of graph-based metadata. | Milenko Petrovic, Haifeng Liu, Hans-Arno Jacobsen |
| 2005 | VLDB | CMS-ToPSS: Efficient Dissemination of RSS Documents. | Milenko Petrovic, Haifeng Liu, Hans-Arno Jacobsen |
| 2004 | ICDE | Modeling Uncertainties in Publish/Subscribe Systems. | Haifeng Liu, Hans-Arno Jacobsen |
| 2004 | WWW | Learning block importance models for web pages. | Ruihua Song, Haifeng Liu, Ji-Rong Wen, Wei-Ying Ma |
| 2004 | SIGIR | Locality preserving indexing for document representation. | Xiaofei He, Deng Cai, Haifeng Liu, Wei-Ying Ma |
| 2004 | VLDB | A-ToPSS: A Publish/Subscribe System Supporting Imperfect Information Processing. | Haifeng Liu, Hans-Arno Jacobsen |
| 2002 | ICML | Refining the Wrapper Approach - Smoothed Error Estimates for Feature Selection. | Loo-Nin Teow, Haifeng Liu, Hwee Tou Ng, Eric Yap |
| 2002 | VLDB | A-TOPSS - A Publish/Subscribe System Supporting Approximate Matching. | Haifeng Liu, Hans-Arno Jacobsen |
| 2001 | DASFAA | Improving the Fairness of Timely Refresh of Web Views. | Haifeng Liu, Wee Keong Ng, Ee-Peng Lim |
| 2001 | DEXA | Query Integration for Refreshing Web Views. | Haifeng Liu, Wee Keong Ng, Ee-Peng Lim |
| 2000 | WISE | Model and Research Issues for Refreshing a Very Large Website. | Haifeng Liu, Wee Keong Ng, Ee-Peng Lim |
| 1999 | DEXA | On the Feasibility of Website Refresh Queries. | Haifeng Liu, Wee Keong Ng, Ee-Peng Lim |