MulVul: Retrieval-augmented Multi-Agent Code Vulnerability Detection via Cross-Model Prompt Evolution. Zihan Wu, Jie Xu, Yun Peng, Chun Yong Chong, Xiaohua Jia (2026). Annual Meeting of the Association for Computational Linguistics (ACL 2026).
zkNAS: Secure and Efficient Outsourced-NAS with Zero-Cost Proxies. Haodi Wang, Danyang Zhang, Tangyu Jiang, Danyang Wang, Fangda Guo, Jing Wang, Yu Guo (2026). International Conference on Database Systems for Advanced Applications (DASFAA 2026).
Image-to-Video Diffusion: From Foundations to Open Frontiers. Xianlong Wang, Wenbo Pan, Shijia Zhou, Ke Li, Yuqi Wang, Zeyu Ye, Hangtao Zhang, Leo Yu Zhang, Xiaohua Jia (2026). arXiv preprint.
GasLiteAA: Optimizing ERC-4337 for Efficient and Secure Gas Sponsorship. Hongxu Su*, Mingzhe Liu*, Jie Xu, Xiaohua Jia, Xuechao Wang (2026). IEEE International Conference on Blockchain and Cryptocurrency (ICBC 2026). * Equal contribution.
Can LLMs Refuse Questions They Do Not Know? Measuring Knowledge-Aware Refusal in Factual Tasks. Wenbo Pan, Jie Xu, Qiguang Chen, Junhao Dong, Libo Qin, Xinfeng Li, Haining Yu, Xiaohua Jia (2026). International Conference on Learning Representations (ICLR 2026).
Towards Long-Horizon Interpretability: Efficient and Faithful Multi-Token Attribution for Reasoning LLMs. Wenbo Pan, Zhichao Liu, Xianlong Wang, Haining Yu, Xiaohua Jia (2026). International Conference on Machine Learning (ICML 2026).
Dual-branch Robust Unlearnable Examples. Xianlong Wang, Hangtao Zhang, Wenbo Pan, Ziqi Zhou, Changsong Jiang, Li Zeng, Xiaohua Jia (2026). International Conference on Machine Learning (ICML 2026).
LMCleaner: Efficient and Certified Online Unlearning via Influence Propagation Truncation. Jie Xu, Zihan Wu, Wenbo Pan, Jiao Yin, Yong-Feng Ge, Hua Wang, Cong Wang, Xiaohua Jia (2026). International Conference on Machine Learning (ICML 2026).
M★: Every Task Deserves Its Own Memory Harness. Wenbo Pan, Shujie Liu, Xiangyang Zhou, Shiwei Zhang, Wanlu Shi, Mirror Xu, Xiaohua Jia (2026). arXiv preprint.
P²RAG: Efficient Privacy-Preserving RAG Service Supporting Arbitrary Top-k Retrieval. Yulong Ming, Mingyue Wang, Jijia Yang, Jie Xu, Zihan Wu, Cong Wang, Xiaohua Jia (2026). arXiv preprint.
Retrospective Harness Optimization: Improving LLM Agents via Self-Preference over Trajectory Rollouts. Wenbo Pan, Shujie Liu, Chin-Yew Lin, Jingying Zeng, Xianfeng Tang, Xiangyang Zhou, Yan Lu, Xiaohua Jia (2026). arXiv preprint.
Optimal fault-tolerant path and cycle embedding of hypercube networks under the PEF model. Hongbin Zhuang, Wanling Lin, Jou-Ming Chang, Xiao-Yan Li, Xiaohua Jia (2026). IEEE Transactions on Computers.
A novel indicator for improving the fault-tolerant bipancyclicity of k-ary n-cube networks with exponential faulty edges. Hongbin Zhuang, Jou-Ming Chang, Xiaohua Jia (2026). IEEE Transactions on Networking.
WebTrap: Stealthy Mid-Task Hijacking of Browser Agents During Navigation. Zhichao Liu, Wenbo Pan, Haining Yu, Ge Gao, Tianqing Zhu, Xiaohua Jia (2026). arXiv preprint.
LMEraser: Large Model Unlearning via Adaptive Prompt Tuning. Jie Xu, Zihan Wu, Cong Wang, Xiaohua Jia (2025). AISTATS 2025.
LiveVal: Real-time and Trajectory-based Data Valuation via Adaptive Reference Points. Jie Xu, Zihan Wu, Cong Wang, Xiaohua Jia (2025). CIKM 2025.
Adaptive and Scalable Blockchain Systems. Jie Xu, Xiaohua Jia (2025). Springer Nature.
The Hidden Dimensions of LLM Alignment: A Multi-Dimensional Analysis of Orthogonal Safety Directions. Wenbo Pan, Zhichao Liu, Qiguang Chen, Xiangyang Zhou, Haining Yu, Xiaohua Jia (2025). International Conference on Machine Learning (ICML).
Scaling SCIERA: A Journey Through the Deployment of a Next-generation Network. François Wirz, Marten Gartner, Jelte van Bommel, Elham Ehsani Moghadam, Grace H. Cimaszewski, Anxiao He, Yizhe Zhang, Henry Birge-Lee, Felix Kottmann, Cyrill Krähenbühl, Jonghoon Kwon, Kyveli Mavromati, Liang Wang, Daniel Bertolo, Marco Canini, Buseung Cho, Ronaldo A. Ferreira, Simon Peter Green, David Hausheer, Junbeom Hur, Xiaohua Jia, Heejo Lee, Prateek Mittal, Omo Oaiya, Chanjin Park, Adrian Perrig, Jerry Sobieski, Yixin Sun, Cong Wang, Klaas Wierenga (2025). Proceedings of the ACM SIGCOMM 2025 Conference.
PrivAGM: Secure Construction of Differentially Private Directed Attributed Graph Models on Decentralized Social Graphs. Songlei Wang, Yifeng Zheng, Xiaohua Jia, Haibo Hu (2025). Proc. VLDB Endow..
Machine Unlearning: Solutions and Challenges. Jie Xu, Zihan Wu, Cong Wang, Xiaohua Jia (2024). IEEE Transactions on Emerging Topics in Computational Intelligence.
Breaking Language Barriers: Cross-Lingual Continual Pre-Training at Scale. Wenzhen Zheng, Wenbo Pan, Xu Xu, Libo Qin, Li Yue, Ming Zhou (2024). Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP).
Label Noise Correction for Federated Learning: A Secure, Efficient and Reliable Realization. Haodi Wang, Tangyu Jiang, Yu Guo, Fangda Guo, Rongfang Bie, Xiaohua Jia (2024). IEEE 40th International Conference on Data Engineering (ICDE).
X-Shard: Optimistic Cross-Shard Transaction Processing for Sharding-Based Blockchains. Jie Xu, Yulong Ming, Zihan Wu, Cong Wang, Xiaohua Jia (2024). IEEE Transactions on Parallel and Distributed Systems.