"Federated Transformer: Multi-Party Vertical Federated Learning
on Practical Fuzzily Linked Data", The 38th Annual Conference on
Neural Information Processing Systems (NeurIPS 2024)
"Vertibench: Advancing feature distribution diversity in vertical
federated learning benchmarks", The 12th International Conference
on Learning Representation (ICLR 2024)
Cai Jinyu
Staff Research Award
"Towards Effective Federated Graph Anomaly Detection via
Self-boosted Knowledge Distillation", The 32nd ACM International
Conference on Multimedia (ACM-MM 2024)
"LG-FGAD: An Effective Federated Graph Anomaly Detection
Framework", The 33rd International Joint Conference on
Artificial Intelligence (IJCAI 2024)
"Dual Contrastive Graph-Level Clustering with Multiple
Cluster Perspectives Alignment", The 33rd International
Joint Conference on Artificial Intelligence (IJCAI 2024)
"Deep Orthogonal Hypersphere Compression for Anomaly Detection",
The 12th International Conference on Learning Representation
(ICLR 2024 - Spotlight)
Thong Nguyen
Student Research Award
"Topic Modeling as Multi-Objective Contrastive Optimization",
(ICLR 2024)
"Video-Language Understanding: A Survey from Model Architecture,
Model Training, and Data Perspectives ", (ACL 2024 - Spotlight)
"Encoding and Controlling Global Semantics for Long-form Video
Question Answering", (EMNLP 2024)
"READ-PVLA: Recurrent Adapter with Partial Video-Language
Alignment for Parameter-Efficient Transfer Learning in Low-Resource
Video-Language Modeling", (AAAI 2024)
Hu Zhiyuan
Student Research Award
"Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances
Information Seeking in LLMs", (NeurIPS 2024)
"Towards Joint Semantic and Metrical Manipulation in
Poetry Generation", (AAAI 2024)
