Kai Zhong
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
39
Venues
22
Active years
2015–2026
Best venue rank
A*
Where they publish
- CIGARSS6 papers
- A*ICML4 papers
- BGLOBECOM3 papers
- A*WWW3 papers
- A*DAC3 papers
- A*ICDE2 papers
- MulticonferenceICASSP2 papers
- A*KDD2 papers
- BLREC1 paper
- A*ASPLOS1 paper
- ACIKM1 paper
- A*ACL1 paper
- BASPDAC1 paper
- ADATE1 paper
- A*MOBICOM1 paper
- CUIC1 paper
- CICSoft1 paper
- NationalFCCM1 paper
- AFPGA1 paper
- AAISTATS1 paper
- A*ICRA1 paper
- BALT1 paper
Papers
39 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ICDE | LIOF: Make the Learned Index Learn Faster with Higher Accuracy (Extended Abstract). | Tao Ji, Kai Zhong, Luming Sun, Yiyan Li, Cuiping Li, Hong Chen |
| 2026 | LREC | Multi-Scale Model Compression via Nested Matrix Learning. | Xiangjue Dong, Aditya Anantharaman, Hemant Pugaliya, Kai Zhong |
| 2025 | GLOBECOM | Fair Multi-User Communication ISAC Waveform Design Under MIMO Radar SINR Constraints. | Yichen Zhang, Yiran Zhang, Jinfeng Hu, Kai Zhong, Jun Liu, Yuankai Wang, Hui-Yong Li, Cunhua Pan |
| 2025 | GLOBECOM | RIS-aided Communication-Compatible MIMO Radar Unimodular Waveform Design. | Kai Zhong, Xin Tai, Yiran Zhang, Yongfeng Zuo, Jinfeng Hu, Cunhua Pan, Huiyong Li |
| 2025 | ICASSP | Secure Analog Beamforming Design for Wireless Communication Systems With Movable Antennas. | Weijie Xiong, Kai Zhong, Zhiling Xiao, Jingran Lin, Qiang Li |
| 2025 | WWW | RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models. | Can Jin, Hongwu Peng, Anxiang Zhang, Nuo Chen, Jiahui Zhao, Xi Xie, Kuangzheng Li, Shuya Feng, Kai Zhong, Caiwen Ding, Dimitris N. Metaxas |
| 2025 | WWW | APEER : Automatic Prompt Engineering Enhances Large Language Model Reranking. | Can Jin, Hongwu Peng, Shiyu Zhao, Zhenting Wang, Wujiang Xu, Ligong Han, Jiahui Zhao, Kai Zhong, Sanguthevar Rajasekaran, Dimitris N. Metaxas |
| 2024 | ASPLOS | FEASTA: A Flexible and Efficient Accelerator for Sparse Tensor Algebra in Machine Learning. | Kai Zhong, Zhenhua Zhu, Guohao Dai, Hongyi Wang, Xinhao Yang, Haoyu Zhang, Jin Si, Qiuli Mao, Shulin Zeng, Ke Hong, Genghan Zhang, Huazhong Yang, Yu Wang |
| 2024 | CIKM | Demonstrating PARS: A Decision Support System for Developing Vertical Partitioning Plans. | Pengju Liu, Kai Zhong, Cuiping Li, Hong Chen |
| 2024 | DAC | DySpMM: From Fix to Dynamic for Sparse Matrix-Matrix Multiplication Accelerators. | Hongyi Wang, Kai Zhong, Haoyu Zhang, Shulin Zeng, Zhenhua Zhu, Xinhao Yang, Shuang Wang, Guohao Dai, Huazhong Yang, Yu Wang |
| 2024 | ICDE | FOSS: A Self-Learned Doctor for Query Optimizer. | Kai Zhong, Luming Sun, Tao Ji, Cuiping Li, Hong Chen |
| 2024 | IGARSS | MIMO Radar Polyphase Waveform Design via Optimal Loss Function-Based Soft Quantization. | Ye Yuan, Xin Tai, Kai Zhong, Yongfeng Zuo, Jinfeng Hu |
| 2024 | IGARSS | Radar Resource Allocation for Tracking Target Capacity Maximization Via Manifold Optimization. | Zelin Yu, Yuankai Wang, Jun Liu, Xin Cheng, Jinfeng Hu, Kai Zhong, Huiyong Li |
| 2024 | IGARSS | Codesign of Unimodular Waveform and Power Allocation for Polarimetric Radar. | Xin Cheng, Yuankai Wang, Jun Liu, Kai Zhong, Zelin Yu, Jinfeng Hu |
| 2023 | ACL | ReAugKD: Retrieval-Augmented Knowledge Distillation For Pre-trained Language Models. | Jianyi Zhang, Aashiq Muhamed, Aditya Anantharaman, Guoyin Wang, Changyou Chen, Kai Zhong, Qingjun Cui, Yi Xu, Belinda Zeng, Trishul Chilimbi, Yiran Chen |
| 2023 | ASPDAC | NTGAT: A Graph Attention Network Accelerator with Runtime Node Tailoring. | Wentao Hou, Kai Zhong, Shulin Zeng, Guohao Dai, Huazhong Yang, Yu Wang |
| 2023 | DAC | An Efficient Accelerator for Point-based and Voxel-based Point Cloud Neural Networks. | Xinhao Yang, Tianyu Fu, Guohao Dai, Shulin Zeng, Kai Zhong, Ke Hong, Yu Wang |
| 2023 | GLOBECOM | RIS-Aided ISAC Waveform Design via Parallel Product Complex Circle Manifold. | Kai Zhong, Dongxu An, Ruoyu Jiang, Jinfeng Hu, Cunhua Pan |
| 2023 | ICASSP | Mimo Radar Transmit Beampattern Matching Via Manifold Optimization. | Weijie Xiong, Jinfeng Hu, Kai Zhong |
| 2022 | DATE | Exploiting Parallelism with Vertex-Clustering in Processing-In-Memory-based GCN Accelerators. | Yu Zhu, Zhenhua Zhu, Guohao Dai, Kai Zhong, Huazhong Yang, Yu Wang |
| 2022 | IGARSS | MIMO Radar Waveform Optimization By Deep Learning Method. | Yaya Pei, Jinfeng Hu, Kai Zhong, Jie Wu |
| 2022 | IGARSS | Constant Modulus Waveform Design for Integrated Sensing and Communication Systems. | Kai Zhong, Jinfeng Hu, Yang Cong, Jie Wu, Yaya Pei |
| 2022 | IGARSS | The phase-only null beamforming synthesis via manifold optimization. | Yang Cong, Jinfeng Hu, Kai Zhong, Jie Wu |
| 2022 | MOBICOM | DOL-net: a decoupled online learning network method for RIS-assisted ISAC waveform design. | Kai Zhong, Jinfeng Hu, Yaya Pei, Cunhua Pan |
| 2022 | WWW | Enterprise-Scale Search: Accelerating Inference for Sparse Extreme Multi-Label Ranking Trees. | Philip A. Etter, Kai Zhong, Hsiang-Fu Yu, Lexing Ying, Inderjit S. Dhillon |
| 2022 | UIC | Remaining Useful Life Prediction of Bearing via a Double Attention-Based Deep Neural Network. | Yongkang Liu, Donghui Pan, Haifeng Zhang, Kai Zhong |
| 2021 | ICSoft | AH-CID: A Tool to Automatically Detect Human-Centric Issues in App Reviews. | Collins Mathews, Kenny Ye, Jake Grozdanovski, Marcus Marinelli, Kai Zhong, Hourieh Khalajzadeh, Humphrey O. Obie, John Grundy |
| 2021 | KDD | Extreme Multi-label Learning for Semantic Matching in Product Search. | Wei-Cheng Chang, Daniel L. Jiang, Hsiang-Fu Yu, Choon-Hui Teo, Jiong Zhang, Kai Zhong, Kedarnath Kolluri, Qie Hu, Nikhil Shandilya, Vyacheslav Ievgrafov, Japinder Singh, Inderjit S. Dhillon |
| 2020 | FCCM | Enabling Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud. | Shulin Zeng, Guohao Dai, Hanbo Sun, Kai Zhong, Guangjun Ge, Kaiyuan Guo, Yu Wang, Huazhong Yang |
| 2020 | FPGA | Enable Efficient and Flexible FPGA Virtualization for Deep Learning in the Cloud. | Shulin Zeng, Guohao Dai, Kai Zhong, Hanbo Sun, Guangjun Ge, Kaiyuan Guo, Yu Wang, Huazhong Yang |
| 2020 | KDD | Taming Pretrained Transformers for Extreme Multi-label Text Classification. | Wei-Cheng Chang, Hsiang-Fu Yu, Kai Zhong, Yiming Yang, Inderjit S. Dhillon |
| 2018 | ICML | Binary Classification with Karmic, Threshold-Quasi-Concave Metrics. | Bowei Yan, Oluwasanmi Koyejo, Kai Zhong, Pradeep Ravikumar |
| 2017 | AISTATS | Fast Classification with Binary Prototypes. | Kai Zhong, Ruiqi Guo, Sanjiv Kumar, Bowei Yan, David Simcha, Inderjit S. Dhillon |
| 2017 | ICML | Recovery Guarantees for One-hidden-layer Neural Networks. | Kai Zhong, Zhao Song, Prateek Jain, Peter L. Bartlett, Inderjit S. Dhillon |
| 2017 | ICRA | Fast second-order cone programming for safe mission planning. | Kai Zhong, Prateek Jain, Ashish Kapoor |
| 2016 | DAC | Practical public PUF enabled by solving max-flow problem on chip. | Meng Li, Jin Miao, Kai Zhong, David Z. Pan |
| 2016 | ICML | PD-Sparse : A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification. | Ian En-Hsu Yen, Xiangru Huang, Pradeep Ravikumar, Kai Zhong, Inderjit S. Dhillon |
| 2015 | ALT | Efficient Matrix Sensing Using Rank-1 Gaussian Measurements. | Kai Zhong, Prateek Jain, Inderjit S. Dhillon |
| 2015 | ICML | A Convex Exemplar-based Approach to MAD-Bayes Dirichlet Process Mixture Models. | Ian En-Hsu Yen, Xin Lin, Kai Zhong, Pradeep Ravikumar, Inderjit S. Dhillon |