| 2026 | AAAI | S³-MSD: Large Vision-Language Model for Explainable and Generalizable Multi-modal Sarcasm Detection. | Zhihong Zhu, Fan Zhang, Yunyan Zhang, Jinghan Sun, Guimin Hu, Hao Wu, Yuyan Chen, Bowen Xing, Xian Wu |
| 2026 | ACL | Multimodal Dual-Path Decoding for Medical Report Generation. | Jinghan Sun, Dong Wei, Zhihong Zhu, Yuyang Xue, Steven McDonagh, Xian Wu |
| 2025 | ASPLOS | FleetIO: Managing Multi-Tenant Cloud Storage with Multi-Agent Reinforcement Learning. | Jinghan Sun, Benjamin Reidys, Daixuan Li, Jichuan Chang, Marc Snir, Jian Huang |
| 2025 | CloudCom | From Tweets to Trades: An Investigation into the Impact of NFT Project Twitters on Market Liquidity. | Jinghan Sun, Huiyu Wang, Yusuf Shakhpaz, Junyu Zhang, Yiyang Bian, Wei Cai |
| 2025 | EMNLP | A Survey on Multi-modal Intent Recognition: Recent Advances and New Frontiers. | Zhihong Zhu, Fan Zhang, Yunyan Zhang, Jinghan Sun, Zhiqi Huang, Qingqing Long, Bowen Xing, Xian Wu |
| 2025 | MICCAI | Conservative-Radical Complementary Learning for Class-Incremental Medical Image Analysis with Pre-trained Foundation Models. | Xinyao Wu, Zhe Xu, Donghuan Lu, Jinghan Sun, Hong Liu, Sadia Shakil, Jiawei Ma, Yefeng Zheng, Raymond Kai-Yu Tong |
| 2024 | AAAI | Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation. | Qian Dai, Dong Wei, Hong Liu, Jinghan Sun, Liansheng Wang, Yefeng Zheng |
| 2024 | CLOUD | Exploring the Efficiency of Renewable Energy-based Modular Data Centers at Scale. | Jinghan Sun, Zibo Gong, Anup Agarwal, Shadi A. Noghabi, Ranveer Chandra, Marc Snir, Jian Huang |
| 2024 | ICDCS | Demo: Blockchain Shield - Advanced Threat Detection & Forensic Analysis Platform. | Ningbo Zhu, Jinghan Sun, Shuyi Zhang, Xinyao Sun, Irene Cheng |
| 2024 | MICCAI | Data-Efficient Radiology Report Generation via Similar Report Features Enhancement. | Yanfeng Li, Jinghan Sun, Liansheng Wang |
| 2024 | MICCAI | Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets. | Hong Liu, Dong Wei, Donghuan Lu, Jinghan Sun, Hao Zheng, Yefeng Zheng, Liansheng Wang |
| 2024 | MICCAI | FM-ABS: Promptable Foundation Model Drives Active Barely Supervised Learning for 3D Medical Image Segmentation. | Zhe Xu, Cheng Chen, Donghuan Lu, Jinghan Sun, Dong Wei, Yefeng Zheng, Quanzheng Li, Raymond Kai-Yu Tong |
| 2024 | SMC | Duopoly Competition in Blockchain Game with Interoperability. | Jinghan Sun, Hongbo Zhang, Abdulmotaleb El Saddik, Wei Cai |
| 2023 | AAAI | M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities. | Hong Liu, Dong Wei, Donghuan Lu, Jinghan Sun, Liansheng Wang, Yefeng Zheng |
| 2023 | ASPLOS | LeaFTL: A Learning-Based Flash Translation Layer for Solid-State Drives. | Jinghan Sun, Shaobo Li, Yunxin Sun, Chao Sun, Dejan Vucinic, Jian Huang |
| 2023 | MICCAI | You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-Ray. | Jinghan Sun, Dong Wei, Zhe Xu, Donghuan Lu, Hong Liu, Liansheng Wang, Yefeng Zheng |
| 2023 | MICCAI | Category-Level Regularized Unlabeled-to-Labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data. | Zhe Xu, Donghuan Lu, Jiangpeng Yan, Jinghan Sun, Jie Luo, Dong Wei, Sarah F. Frisken, Quanzheng Li, Yefeng Zheng, Raymond Kai-Yu Tong |
| 2023 | MICRO | Learning to Drive Software-Defined Solid-State Drives. | Daixuan Li, Jinghan Sun, Jian Huang |
| 2022 | AAAI | Boost Supervised Pretraining for Visual Transfer Learning: Implications of Self-Supervised Contrastive Representation Learning. | Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng |
| 2022 | MICCAI | Lesion Guided Explainable Few Weak-Shot Medical Report Generation. | Jinghan Sun, Dong Wei, Liansheng Wang, Yefeng Zheng |
| 2022 | OSDI | BlockFlex: Enabling Storage Harvesting with Software-Defined Flash in Modern Cloud Platforms. | Benjamin Reidys, Jinghan Sun, Anirudh Badam, Shadi A. Noghabi, Jian Huang |
| 2021 | HOTNETS | Redesigning Data Centers for Renewable Energy. | Anup Agarwal, Jinghan Sun, Shadi A. Noghabi, Srinivasan Iyengar, Anirudh Badam, Ranveer Chandra, Srinivasan Seshan, Shivkumar Kalyanaraman |
| 2021 | MICCAI | Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification. | Jinghan Sun, Dong Wei, Kai Ma, Liansheng Wang, Yefeng Zheng |
| 2021 | SC | Pinpointing crash-consistency bugs in the HPC I/O stack: a cross-layer approach. | Jinghan Sun, Jian Huang, Marc Snir |
| 2021 | SYSTOR | UniHeap: managing persistent objects across managed runtimes for non-volatile memory. | Daixuan Li, Benjamin Reidys, Jinghan Sun, Thomas Shull, Josep Torrellas, Jian Huang |