| 2026 | AAAI | Multi-Modal Fact Knowledge Generation for Imbalanced Cross-Source Entity Alignment. | Qian Li, Cheng Ji, Zhaoji Liang, Yuzheng Zhang, Zhuo Chen, Siyuan Liang |
| 2026 | AAAI | SCo-Cloud: Satellite Constellation Collaboration for Cloud-Aware Onboard-Computed Imaging and Transmission. | Jia Liu, Qian Li, Yongqi Li, Cheng Ji, Shangguang Wang |
| 2025 | AAAI | Improving Model Probability Calibration by Integration of Large Data Sources with Biased Labels. | Renat Sergazinov, Richard Chen, Cheng Ji, Jing Wu, Daniel Cociorva, Hakan Brunzell |
| 2025 | AAAI | DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models. | Haonan Yuan, Qingyun Sun, Zhaonan Wang, Xingcheng Fu, Cheng Ji, Yongjian Wang, Bo Jin, Jianxin Li |
| 2025 | FAST | MedFS: Pursuing Low Update Overhead via Metadata-Enabled Delta Compression for Log-structured File System on Mobile Device. | Chao Wu, Cheng Ji, Li-Pin Chang, Zongwei Zhu, Congming Gao, Weichao Guo, Chao Yu, Yanzhi Wang |
| 2025 | ICLR | ST-GCond: Self-supervised and Transferable Graph Dataset Condensation. | Beining Yang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Jianxin Li |
| 2025 | ICPADS | PQC-LLM: Post-Quantization Delta Compression for LLMs. | Yujin Zhong, Chao Wu, Cheng Ji |
| 2025 | IJCAI | OS-GCL: A One-Shot Learner in Graph Contrastive Learning. | Cheng Ji, Chenrui He, Qian Li, Qingyun Sun, Xingcheng Fu, Jianxin Li |
| 2025 | IJCAI | Variational Multi-Modal Hypergraph Attention Network for Multi-Modal Relation Extraction. | Qian Li, Cheng Ji, Shu Guo, Kun Peng, Qianren Mao, Shangguang Wang |
| 2025 | IJCAI | Multimodal Knowledge Retrieval-Augmented Iterative Alignment for Satellite Commonsense Conversation. | Qian Li, Xuchen Li, Zongyu Chang, Yuzheng Zhang, Cheng Ji, Shangguang Wang |
| 2025 | WSDM | Graph Size-imbalanced Learning with Energy-guided Structural Smoothing. | Jiawen Qin, Pengfeng Huang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Jianxin Li |
| 2024 | AAAI | ReGCL: Rethinking Message Passing in Graph Contrastive Learning. | Cheng Ji, Zixuan Huang, Qingyun Sun, Hao Peng, Xingcheng Fu, Qian Li, Jianxin Li |
| 2024 | AAAI | SwitchTab: Switched Autoencoders Are Effective Tabular Learners. | Jing Wu, Suiyao Chen, Qi Zhao, Renat Sergazinov, Chen Li, Shengjie Liu, Chongchao Zhao, Tianpei Xie, Hanqing Guo, Cheng Ji, Daniel Cociorva, Hakan Brunzell |
| 2024 | CIKM | L-APPLE: Language-agnostic Prototype Prefix Learning for Cross-lingual Event Detection. | Ziqin Zhu, Xutan Peng, Qian Li, Cheng Ji, Qingyun Sun, Jianxin Li |
| 2024 | COLING | Few-Shot Multimodal Named Entity Recognition Based on Mutlimodal Causal Intervention Graph. | Feihong Lu, Xiaocui Yang, Qian Li, Qingyun Sun, Ke Jiang, Cheng Ji, Jianxin Li |
| 2024 | DATE | Extending SSD Lifetime via Balancing Layer Endurance in 3D NAND Flash Memory. | Siyi Huang, Yajuan Du, Yi Fan, Cheng Ji |
| 2024 | IJCAI | LLM-based Multi-Level Knowledge Generation for Few-shot Knowledge Graph Completion. | Qian Li, Zhuo Chen, Cheng Ji, Shiqi Jiang, Jianxin Li |
| 2024 | WWW | Dynamic Graph Information Bottleneck. | Haonan Yuan, Qingyun Sun, Xingcheng Fu, Cheng Ji, Jianxin Li |
| 2023 | ACL | Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction. | Qian Li, Shu Guo, Cheng Ji, Xutan Peng, Shiyao Cui, Jianxin Li, Lihong Wang |
| 2023 | DAC | RLAlloc: A Deep Reinforcement Learning-Assisted Resource Allocation Framework for Enhanced Both I/O Throughput and QoS Performance of Multi-Streamed SSDs. | Mengquan Li, Chao Wu, Congming Gao, Cheng Ji, Kenli Li |
| 2023 | EMNLP | Multi-Modal Knowledge Graph Transformer Framework for Multi-Modal Entity Alignment. | Qian Li, Cheng Ji, Shu Guo, Zhaoji Liang, Lihong Wang, Jianxin Li |
| 2023 | ICPADS | Transparent File Deduplication with Reduced Update Cost on Encryption Enabled Mobile Devices. | Junbin Ren, Cheng Ji, Weiwei Jin, Chao Yu, Weichao Guo, Yajuan Du, Zongwei Zhu |
| 2023 | WWW | Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment. | Qian Li, Shu Guo, Yangyifei Luo, Cheng Ji, Lihong Wang, Jiawei Sheng, Jianxin Li |
| 2023 | WSDM | Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. | Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu |
| 2022 | AAAI | Graph Structure Learning with Variational Information Bottleneck. | Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu |
| 2022 | CIKM | Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing. | Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu |
| 2022 | WWW | Curvature Graph Generative Adversarial Networks. | Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng |
| 2022 | SIGIR | MuchSUM: Multi-channel Graph Neural Network for Extractive Summarization. | Qianren Mao, Hongdong Zhu, Junnan Liu, Cheng Ji, Hao Peng, Jianxin Li, Lihong Wang, Zheng Wang |
| 2021 | DAC | HADFL: Heterogeneity-aware Decentralized Federated Learning Framework. | Jing Cao, Zirui Lian, Weihong Liu, Zongwei Zhu, Cheng Ji |
| 2021 | FAST | Pattern-Guided File Compression with User-Experience Enhancement for Log-Structured File System on Mobile Devices. | Cheng Ji, Li-Pin Chang, Riwei Pan, Chao Wu, Congming Gao, Liang Shi, Tei-Wei Kuo, Chun Jason Xue |
| 2021 | ICDM | ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network. | Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu |
| 2021 | PDCAT | A 3D Dubins Curve Constructing Method Based on Particle Swarm Optimization. | Cheng Ji, Chu Wang, Mingyan Song, Fengmin Wang |
| 2020 | HPCC | Overcoming Memory Constraint for Improved Target Classification Performance on Embedded Deep Learning Systems. | Fan Wu, Huanghe Liu, Zongwei Zhu, Cheng Ji, Chun Jason Xue |
| 2019 | CHI | RotoSwype: Word-Gesture Typing using a Ring. | Aakar Gupta, Cheng Ji, Hui-Shyong Yeo, Aaron Quigley, Daniel Vogel |
| 2019 | CIKM | HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding. | Yu He, Yangqiu Song, Jianxin Li, Cheng Ji, Jian Peng, Hao Peng |
| 2018 | CASES | Maximizing I/O throughput and minimizing performance variation via reinforcement learning based I/O merging for SSDs: work-in-progress. | Chao Wu, Cheng Ji, Qiao Li, Chenchen Fu, Chun Jason Xue |
| 2018 | ICCD | Selective Compression Scheme for Read Performance Improvement on Flash Devices. | Qiao Li, Liang Shi, Riwei Pan, Cheng Ji, Xiaoqiang Li, Chun Jason Xue |
| 2017 | USENIX | Improving File System Performance of Mobile Storage Systems Using a Decoupled Defragmenter. | Sangwook Shane Hahn, Sungjin Lee, Cheng Ji, Li-Pin Chang, Inhyuk Yee, Liang Shi, Chun Jason Xue, Jihong Kim |
| 2016 | EMSOFT | I/O scheduling with mapping cache awareness for flash based storage systems. | Cheng Ji, Chao Wu, Li-Pin Chang, Liang Shi, Chun Jason Xue |
| 2016 | FAST | Access Characteristic Guided Read and Write Cost Regulation for Performance Improvement on Flash Memory. | Qiao Li, Liang Shi, Chun Jason Xue, Kaijie Wu, Cheng Ji, Qingfeng Zhuge, Edwin Hsing-Mean Sha |
| 2014 | ICECCS | A Thread Behavior-Based Memory Management Framework on Multi-core Smartphone. | Zongwei Zhu, Xi Li, Hengchang Liu, Cheng Ji, Yuan Xu, Xuehai Zhou, Beilei Sun |