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Bohang Sun
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- 2026
[i5]Bohang Sun, Max Zhu, Francesco Caso, Jindong Gu, Junchi Yu, Philip Torr, Pietro Liò, Jialin Yu:
The Path Matters: Learning a Token-Commitment Policy for Diffusion Language Models. CoRR abs/2605.24697 (2026)- 2025
[c4]Gengyu Lyu, Bohang Sun, Xiang Deng, Songhe Feng:
Addressing Multi-Label Learning with Partial Labels: From Sample Selection to Label Selection. AAAI 2025: 19251-19259
[c3]Bohang Sun, Yongjian Deng
, Yuena Lin, Qiuru Hai, Zhen Yang, Gengyu Lyu:
Graph Consistency and Diversity Measurement for Federated Multi-View Clustering. AAAI 2025: 20663-20671
[c2]Yuena Lin, Hao Wei, Hai-Chun Cai, Bohang Sun, Tao Yang, Zhen Yang, Gengyu Lyu:
CaliGCL: Calibrated Graph Contrastive Learning via Partitioned Similarity and Consistency Discrimination. NeurIPS 2025
[c1]Bohang Sun, Yuena Lin, Tao Yang, Zhen Zhu, Zhen Yang, Gengyu Lyu:
AF-UMC: An Alignment-Free Fusion Framework for Unaligned Multi-View Clustering. NeurIPS 2025
[i4]Bohang Sun, Pietro Liò:
Multi-Head Explainer: A General Framework to Improve Explainability in CNNs and Transformers. CoRR abs/2501.01311 (2025)
[i3]Bohang Sun, Pietro Liò:
EU-Nets: Enhanced, Explainable and Parsimonious U-Nets. CoRR abs/2502.18122 (2025)- 2024
[i2]Hongyao Zhang, Bohang Sun:
Audio-to-Score Conversion Model Based on Whisper methodology. CoRR abs/2410.17209 (2024)
[i1]Bohang Sun:
FilterViT and DropoutViT: Lightweight Vision Transformer Models for Efficient Attention Mechanisms. CoRR abs/2410.22709 (2024)
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