| 2026 | AAAI | A Multi-Agent LLM Framework for Multi-Domain Low-Resource In-Context NER via Knowledge Retrieval, Disambiguation and Reflective Analysis. | Wenxuan Mu, Jinzhong Ning, Di Zhao, Yijia Zhang |
| 2026 | AAAI | TowerMind: A Tower Defence Game Learning Environment and Benchmark for LLM as Agents. | Dawei Wang, Chengming Zhou, Di Zhao, Xinyuan Liu, Marci Chi Ma, Gary Ushaw, Richard Davison |
| 2026 | ACL | MARS-RA: Rank Aggregation for Credit Assignment via Multimodal Comparisons in Embodied Multi-Agent Cooperation. | Dawei Wang, Di Zhao, Xinyuan Liu, Marci Chi Ma, Xiaoyang Liu, Chengming Zhou, Gary Ushaw, Richard Davison |
| 2026 | ISCA | SPEC CPU: The Next Generotion. | Mahesh Madhav, Allen Lee, Andres Mejia, Branden Moore, Charan Soppadandi, Chris Cambly, Christoph Mllner, Daniel Bowers, David Reiner, Denis Bakhvalov, Di Zhao, Duane Voth, Feng Xue, Frdrique Silber-Chaussumier, James Bucek, James Southern, Jiangning Liu, Jim Himer, John Henning, Kevin Smith, Kristen Yang, Kunal Kashyap, Mason Guy, Mat Colgrove, Michael Berg, Prasad Battini, Prasad Joshi, Rohit Prasad, Shayantika Bhattacharya, Sriyash Caculo, Stefan Reimbold, Sundar Iyengar, Van Smith, Zarko Todorovski |
| 2026 | WWW | Forge: A Robust Multi-tab Website Fingerprinting Attack via Blind Source Separation. | Yitan Huang, Wei Qiao, Ding Wang, Meng Shen, Di Zhao, Linxu Li, Susu Cui, Bo Jiang, Zhigang Lu, Baoxu Liu |
| 2026 | WWW | SeaRAG: Reducing Hallucination in Retrieval-Augmented Generation via Statement-Entity Adaptive Ranking. | Xiaosong Yuan, Xiaofeng Zhang, Di Zhao, Yijia Zhang, Ying Wang |
| 2026 | WACV | Zero-Shot Domain Generalisation via Prompt-Driven Feature Refinement. | Tingrui Qiao, Di Zhao, Caroline Walker, Chris Cunningham, Yun Sing Koh |
| 2026 | WACV | Overcoming Fine-Grained Visual Challenges in Animal Re-Identification via Semantic Feature Alignment. | Yihao Wu, Di Zhao, Yuzhuo Li, Matthew Alajas, Alistair S. Glen, Jingfeng Zhang, Gillian Dobbie, Daniel Wilson, Yun Sing Koh |
| 2025 | EMNLP | COLA: Collaborative Multi-Agent Framework with Dynamic Task Scheduling for GUI Automation. | Di Zhao, Longhui Ma, Siwei Wang, Miao Wang, Zhao Lv |
| 2025 | IJCAI | Balancing Invariant and Specific Knowledge for Domain Generalization with Online Knowledge Distillation. | Di Zhao, Jingfeng Zhang, Hongsheng Hu, Philippe Fournier-Viger, Gillian Dobbie, Yun Sing Koh |
| 2025 | IJCNN | MEAN:Multi-Modal Explainability Analysis Network for Fake News Detection. | Linlin Gao, Jiana Meng, Di Zhao, Bolin Wang |
| 2024 | AAAI | Symmetric Self-Paced Learning for Domain Generalization. | Di Zhao, Yun Sing Koh, Gillian Dobbie, Hongsheng Hu, Philippe Fournier-Viger |
| 2024 | MICCAI | Follow Sonographers' Visual Scan-Path: Adjusting CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound. | Xin Tang, Zhi Cao, Weijing Zhang, Di Zhao, Hongen Liao, Daoqiang Zhang, Fang Chen |
| 2024 | NPC | RV-CVP: A Flexible Variable Precision RISC-V ISA Extension for Convolutional Neural Network. | Jingyi Zhu, Di Zhao, Weifeng Zhang, Zhijie Jia, Boran Liu, Guokai Chen |
| 2023 | MICCAI | Thinking Like Sonographers: A Deep CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound. | Zhi Cao, Weijing Zhang, Keke Chen, Di Zhao, Daoqiang Zhang, Hongen Liao, Fang Chen |
| 2023 | MICCAI | Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes. | Weihang Dai, Xiaomeng Li, Taihui Yu, Di Zhao, Jun Shen, Kwang-Ting Cheng |
| 2022 | IJCNN | Measuring Drift Severity by Tree Structure Classifiers. | Di Zhao, Yun Sing Koh, Philippe Fournier-Viger |
| 2020 | DEXA | Feature Drift Detection in Evolving Data Streams. | Di Zhao, Yun Sing Koh |
| 2020 | ICARCV | Nonovershooting Regulation of an Under-Sensed and Under-Actuated Linear Inverted Pendulum. | Chao Chen, Di Zhao, Li Qiu |
| 2019 | NSDI | Model-Agnostic and Efficient Exploration of Numerical State Space of Real-World TCP Congestion Control Implementations. | Wei Sun, Lisong Xu, Sebastian G. Elbaum, Di Zhao |
| 2018 | IGARSS | Sparse SAR Image Formation of Moving Targets-A Reweighted Sparse Approach. | Gang Xu, Xianpeng Wang, Yanyang Liu, Di Zhao |
| 2017 | ICNC | Saliency detection: Multi-level combination approach via graph-based manifold ranking. | Cuiping Li, Zhenxue Chen, Chengyun Liu, Di Zhao |
| 2017 | ICONIP | Energy Management of Planetary Gear Hybrid Electric Vehicle Based on Improved Dynamic Programming. | Xin Tang, Liang Chu, Nan Xu, Di Zhao, Zhe Xu |
| 2016 | IGARSS | Analysis of super-resolution radar imaging based on sparse regularization. | Xiaoxiang Zhu, Guanghu Jin, Feng He, Zhen Dong, Guozhong Chen, Di Zhao |
| 2016 | IGARSS | Intra-pulse velocity compensation for HRWS-SAR with high squint looking. | Guanghu Jin, Zhen Dong, Feng He, Xiaoxiang Zhu, Zhihua He, Guozhong Chen, Di Zhao |
| 2015 | IGARSS | SEA clutter modeling by statistical majority consistency for ship detection in SAR imagery. | Di Zhao, Haitao Lang, Xi Zhang, Junmin Meng, Laiquan |
| 2014 | ADMA | CinHBa: A Secondary Index with Hotscore Caching Policy on Key-Value Data Store. | Wei Ge, Yihua Huang, Di Zhao, Shengmei Luo, Chunfeng Yuan, Wenhui Zhou, Yun Tang, Juan Zhou |