news | Zhaomin Wu

May 14, 2026	I have received the ICML 2026 Gold Reviewer Award, recognizing the top 25% of reviewers.
May 06, 2026	Invited talk “When Data and Models Stay Hidden: Toward Trustworthy AI Collaboration” at Université de Montréal (UdeM) and Mila, hosted by Prof. Bang Liu.
Apr 11, 2026	I have received the Google Cloud Research Credit Award, with US$5,000 in Google Cloud research credits to support my research.
Mar 18, 2026	I have received the NRF Postdoctoral Award from the National Research Foundation 🏆, with S$250,000 over four years to support my research on AI-powered psychological counselling systems.
Feb 23, 2026	One paper accepted in ICDE 2026. Zhaomin Wu, Ziyang Wang, Bingsheng He. WikiDBGraph: Large-Scale Database Graph of Wikidata for Collaborative Learning
Feb 08, 2026	Two papers accepted to ICLR 2026 for oral (1%) presentation. [Oral] Zhaomin Wu, Haodong Zhao, Ziyang Wang, Jizhou Guo, Qian Wang, Bingsheng He. LLM DNA: Tracing Model Evolution via Functional Representations [Oral] Zhaomin Wu, Mingzhe Du, Ng See-Kiong, Bingsheng He. Beyond Prompt-Induced Lies: Investigating LLM Deception on Benign Prompts
Jan 26, 2026	Keynote “Bridging Data Silos with Practical Federated Learning” at the AAAI 2026 FLCA Workshop.
Jan 13, 2026	One paper accepted in WWW 2026 (Oral). Yicheng Zhang, Zhen Qin, Zhaomin Wu, Jian Hou, Shuiguang Deng. Personalized Federated Fine-Tuning for LLMs via Data-Driven Heterogeneous Model Architectures.
Nov 24, 2025	One paper accepted in KDD 2026. Jizhou Guo, Zhaomin Wu, Hanchen Yang, Philip S. Yu. Mining Intrinsic Rewards from LLM Hidden States for Efficient Best-of-N Sampling
Aug 21, 2025	One paper accepted in EMNLP 2025. Zhaomin Wu, Jizhou Guo, Junyi Hou, Bingsheng He, Lixin Fan, Qiang Yang. Model-based Large Language Model Customization as Service
May 29, 2025	Invited talk “Towards Practical Vertical Federated Learning Systems” at the DASFAA 2025 Trust Day, on behalf of Prof. Bingsheng He.
May 17, 2025	One paper accepted in ACL 2025. Zhen Qin, Zhaomin Wu, Bingsheng He, Shuiguang Deng. Federated Data-Efficient Instruction Tuning for Large Language Models.
Feb 25, 2025	Invited talk “Bridging Private Data Silo with Machine Learning” at the NUS Open House 2025.
Jan 12, 2025	I have received the Best Research Staff Award from Institute of Data Science, NUS.
Sep 28, 2024	One paper accepted in NeurIPS 2024. Zhaomin Wu, Junyi Hou, Yiqun Diao, and Bingsheng He. Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data
Jul 02, 2024	I have been awarded PhD Thesis Award Honorable Mention by the School of Computing (SoC), NUS.
May 30, 2024	Our paper “DeltaBoost: Gradient Boosted Trees with Efficient Machine Unlearning” (by Zhaomin Wu, Junhui Zhu, Qinbin Li, Bingsheng He) has been awarded the Honorable Mention for the Best Artifact in SIGMOD 2023.
May 03, 2024	I have passed my Ph.D. defense! 🎉
Jan 16, 2024	One paper accepted in ICLR 2024. Zhaomin Wu, Junyi Hou, Bingsheng He. VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks
Aug 10, 2023	I have received the Dean’s Graduate Research Excellence Award from School of Computing, NUS for academic year 2022/2023.