About me
I am a tenure-track assistant professor in the AI Thrust at the Hong Kong University of Science and Technology (Guangzhou). I recevied my Ph.D. degree from the Pennsylvania State University under the supervision of Dr. Suhang Wang. I obtained my Master of AI degree from Computer Science Department at KU Leuven. I received my Bachelor Degree from the University of Science and Technology of China.
[Open Positions]
- Research Assistant/Intern: Positions available anytime.
- Master of Philosophy (M.Phil.): Fall 2026. (Admission decisions are made by the admission committee; admitted students or qualified applicants are encouraged to contact me in advance.)
- Ph.D.: Fall 2026/2027. (Master students or Bachelor students with strong research experience are encouraged to contact me in advance.)
Candidates with strong backgrounds in data mining, machine learning, mathematics, or related fields are encouraged to email their CV and transcript to enyandai@hkust-gz.edu.cn, using the subject line "[RA/M.Phil./Ph.D. Application - Your Name]".
Research Directions at 
(Trust & Application AI Lab)
My recent research interests lie in the Protein Foundation Model and the Visual Language Action (VLA) model. Specifically, he believes that scientific discoveries in proteins can be reshaped by a system of: LLM Idea Propose <-> Protein Foundation Model Dry Experiments <-> Wet Experiments by Visual Language Action Model.
News
- 04/2026: đ We released StudyClawHub, built for sharp students! đž Come to discover and publish skills/agents.
- 04/2026: đ Two papers accepted by ACL-2026 (1 Main Conference + 1 Findings)
- Route to Rome Attack: Directing LLM Routers to Expensive Models via Adversarial Suffix Optimization
- CAGenMol: Condition-Aware Diffusion Language Model for Goal-Directed Molecular Generation
- 01/2026:One paper entitled: DuFFin: A Dual-Level Fingerprinting Framework for LLMs IP Protection accepted by EACL-2026 Findings
- 01/2026:One paper entitled: How Far Are LLMs from Professional Poker Players? Revisiting Game-Theoretic Reasoning with Agentic Tool Use accepted by ICLR-2026
- 09/2025:One paper entitled: UniZyme: A Unified Protein Cleavage Site Predictor Enhanced with Enzyme Active-Site Knowledge accepted by NeurIPS-2025
- 09/2025: Serve as an Area Chair for ICLR-2026
- 06/2025: We released Protap: A Benchmark for Protein Modeling on Realistic Downstream Applications [package]
- 06/2025: Very honored that the paper LiSA: Leveraging Link Recommender to Attack Graph Neural Networks via Subgraph Injection corresponded by me received the PAKDD 2025 Best Paper Award!
- 05/2025: Two papers accepted by KDD-2025
- 1/2025: One paper entitled: Robustness Inspired Graph Backdoor Defense accepted by ICLR-2025 (Oral Paper)
- 11/2024: One paper entitled: Stealing Training Graphs from Graph Neural Networks accepted by KDD-2025
- 07/2024: One paper entitled: Towards Prototype-Based Self-Explainable Graph Neural Network accepted by TKDD
- 07/2024: Two papers accepted by CIKM-2024 in full paper track and short paper track respectively.
- 07/2024: I joined the AI Thrust at Hong Kong University of Science and Technology (Guangzhou).
- 05/2024: One paper entitled:Improving Issue-PR Link Prediction via Knowledge-aware Heterogeneous Graph Learning accepted by IEEE Transactions on Software Engineering
- 05/2024: One paper entitled: Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective accepted by KDD-2024
- 09/2023: One paper entitiled: âCertifiably Robust Graph Contrastive Learningâ accepted by NeurIPS-2023
- 09/2023: One paper entitled:âLearning Fair Models without Sensitive Attributes: A Generative Approachâ accepted by Neurocomputing
- 05/2023: One paper entitled:âA Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacyâ accepted by KDD-2023
- 04/2023: Serve as reviewer of KDD-2023 and ICML-2023.
- 03/2023: Very glad to receive the IST Ph.D. Student Award for Research Excellence
- 01/2023: One paper entitled: âUnnoticeable Backdoor Attacks on Graph Neural Networksâ has been accepted by WWW-2023
- 11/2022: One paper entitled: âLabel-Wise Graph Convolutional Network for Heterophilic Graphsâ has been accepted by LOG-2022
- 08/2022: One paper has been accepted by ICDM-2022
- 07/2022: One paper entitled: âLearning Fair Graph Neural Networks with Limited andPrivate Sensitive Attribute Informationâ has been accepted by TKDE
- 07/2022: Update a package of Robust GNN for Label Noises [code]
- 06/2022: Serve as a reviewer for NeurIPS-2022
- 06/2022: Serve as a PC memeber for ASONAM-2022
- 06/2022: Invited as a guest for Trustworthy Graph Learning Tutorial in DataFun
- 04/2022: Release a survey entitled: âA Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainabilityâ
- 03/2022: Serve as a PC memeber for KDD-2022
- 01/2022: One paper entitled âGraph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Seriesâ is accepted as Spotlight in ICLR-2022
- 10/2021: Two papers are accepted by WSDM-2022
- 08/2021: One paper is accepted by CIKM-2021
- 06/2021: Serve as a PC memeber for ASONAM-2021
- 05/2021: Two papers are accepted by KDD-2021
- 10/2020: One paper is accepted by WSDM-2021