Multi-View Graph Learning by Joint Modeling of Consistency and Inconsistency.
IEEE Trans. Neural Networks Learn. Syst., February, 2024
AM-SAM: Automated Prompting and Mask Calibration for Segment Anything Model.
CoRR, 2024
BLO-SAM: Bi-level Optimization Based Overfitting-Preventing Finetuning of SAM.
CoRR, 2024
UniAR: A Unified model for predicting human Attention and Responses on visual content.
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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
BLO-SAM: Bi-level Optimization Based Finetuning of the Segment Anything Model for Overfitting-Preventing Semantic Segmentation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Rich Human Feedback for Text-to-Image Generation.
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Beyond Thumbs Up/Down: Untangling Challenges of Fine-Grained Feedback for Text-to-Image Generation.
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Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024
UniAR: Unifying Human Attention and Response Prediction on Visual Content.
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CoRR, 2023
Large Language Models for Compiler Optimization.
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CoRR, 2023
DrugChat: Towards Enabling ChatGPT-Like Capabilities on Drug Molecule Graphs.
CoRR, 2023
Learning Compiler Pass Orders using Coreset and Normalized Value Prediction.
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Proceedings of the International Conference on Machine Learning, 2023
Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations.
CoRR, 2022
EViT: Expediting Vision Transformers via Token Reorganizations.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Improving Differentiable Architecture Search with a Generative Model.
CoRR, 2021
Revitalizing CNN Attentions via Transformers in Self-Supervised Visual Representation Learning.
CoRR, 2021
Revitalizing CNN Attention via Transformers in Self-Supervised Visual Representation Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Large Norms of CNN Layers Do Not Hurt Adversarial Robustness.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Consistency Meets Inconsistency: A Unified Graph Learning Framework for Multi-view Clustering.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019