Yatao Bian
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
36
Venues
14
Active years
2012–2026
Best venue rank
A*
Where they publish
Papers
36 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | CrystalDiT: Simple Diffusion Transformers for Crystal Generation. | Xiaohan Yi, Guikun Xu, Zhong Zhang, Liu Liu, Yatao Bian, Xi Xiao, Peilin Zhao |
| 2026 | ACL | A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and Solutions. | Zhiyin Yu, Yuchen Mou, Juncheng Yan, Junyu Luo, Chunchun Chen, Xing Wei, Yunhui Liu, Hongru Sun, Yuxing Zhang, Jun Xu, Yatao Bian, Ming Zhang, Wei Ye, Tieke He, Jie Yang, Guanjie Zheng, Zhonghai Wu, Bo Zhang, Lei Bai, Xiao Luo |
| 2026 | SIGIR | Question-Adaptive Graph Learning for Multi-hop Retrieval Augmented Generation. | Yuchen Yan, Peiyan Zhang, Zhihua Liu, Hao Wang, Yatao Bian, Weiming Li, Xiaoshuai Hao |
| 2025 | ACL | RelEdit: Evaluating Conceptual Knowledge Editing in Language Models via Relational Reasoning. | Yifan Niu, Miao Peng, Nuo Chen, Yatao Bian, Tingyang Xu, Jia Li |
| 2025 | ICLR | Erasing Concept Combination from Text-to-Image Diffusion Model. | Hongyi Nie, Quanming Yao, Yang Liu, Zhen Wang, Yatao Bian |
| 2025 | ICLR | InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization. | Yifan Niu, Ziqi Gao, Tingyang Xu, Yang Liu, Yatao Bian, Yu Rong, Junzhou Huang, Jia Li |
| 2025 | ICLR | COME: Test-time Adaption by Conservatively Minimizing Entropy. | Qingyang Zhang, Yatao Bian, Xinke Kong, Peilin Zhao, Changqing Zhang |
| 2025 | ICML | Hierarchical Graph Tokenization for Molecule-Language Alignment. | Yongqiang Chen, Quanming Yao, Juzheng Zhang, James Cheng, Yatao Bian |
| 2025 | ICML | Measuring Diversity in Synthetic Datasets. | Yuchang Zhu, Huizhe Zhang, Bingzhe Wu, Jintang Li, Zibin Zheng, Peilin Zhao, Liang Chen, Yatao Bian |
| 2025 | IJCAI | Unified Molecule-Text Language Model with Discrete Token Representation. | Shuhan Guo, Yatao Bian, Ruibing Wang, Nan Yin, Zhen Wang, Quanming Yao |
| 2024 | ACL | WatME: Towards Lossless Watermarking Through Lexical Redundancy. | Liang Chen, Yatao Bian, Yang Deng, Deng Cai, Shuaiyi Li, Peilin Zhao, Kam-Fai Wong |
| 2024 | ICLR | EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model. | Huaijin Wu, Wei Liu, Yatao Bian, Jiaxiang Wu, Nianzu Yang, Junchi Yan |
| 2024 | ICLR | Enhancing Neural Subset Selection: Integrating Background Information into Set Representations. | Binghui Xie, Yatao Bian, Kaiwen Zhou, Yongqiang Chen, Peilin Zhao, Bo Han, Wei Meng, James Cheng |
| 2024 | ICML | How Interpretable Are Interpretable Graph Neural Networks? | Yongqiang Chen, Yatao Bian, Bo Han, James Cheng |
| 2024 | KDD | One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes. | Yuchang Zhu, Jintang Li, Yatao Bian, Zibin Zheng, Liang Chen |
| 2024 | WSDM | Rethinking and Simplifying Bootstrapped Graph Latents. | Wangbin Sun, Jintang Li, Liang Chen, Bingzhe Wu, Yatao Bian, Zibin Zheng |
| 2023 | AAAI | DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery - a Focus on Affinity Prediction Problems with Noise Annotations. | Yuanfeng Ji, Lu Zhang, Jiaxiang Wu, Bingzhe Wu, Lanqing Li, Long-Kai Huang, Tingyang Xu, Yu Rong, Jie Ren, Ding Xue, Houtim Lai, Wei Liu, Junzhou Huang, Shuigeng Zhou, Ping Luo, Peilin Zhao, Yatao Bian |
| 2023 | CIKM | SAILOR: Structural Augmentation Based Tail Node Representation Learning. | Jie Liao, Jintang Li, Liang Chen, Bingzhe Wu, Yatao Bian, Zibin Zheng |
| 2023 | EMNLP | Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators. | Liang Chen, Yang Deng, Yatao Bian, Zeyu Qin, Bingzhe Wu, Tat-Seng Chua, Kam-Fai Wong |
| 2023 | EMNLP | RECAL: Sample-Relation Guided Confidence Calibration over Tabular Data. | Haotian Wang, Zhen Zhang, Mengting Hu, Qichao Wang, Liang Chen, Yatao Bian, Bingzhe Wu |
| 2023 | ICLR | Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization. | Yongqiang Chen, Kaiwen Zhou, Yatao Bian, Binghui Xie, Bingzhe Wu, Yonggang Zhang, Kaili Ma, Han Yang, Peilin Zhao, Bo Han, James Cheng |
| 2023 | ICLR | BEEF: Bi-Compatible Class-Incremental Learning via Energy-Based Expansion and Fusion. | Fu-Yun Wang, Da-Wei Zhou, Liu Liu, Han-Jia Ye, Yatao Bian, De-Chuan Zhan, Peilin Zhao |
| 2023 | WWW | Curriculum Graph Poisoning. | Hanwen Liu, Peilin Zhao, Tingyang Xu, Yatao Bian, Junzhou Huang, Yuesheng Zhu, Yadong Mu |
| 2022 | ICLR | Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning. | Yatao Bian, Yu Rong, Tingyang Xu, Jiaxiang Wu, Andreas Krause, Junzhou Huang |
| 2022 | ICLR | Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking. | Octavian-Eugen Ganea, Xinyuan Huang, Charlotte Bunne, Yatao Bian, Regina Barzilay, Tommi S. Jaakkola, Andreas Krause |
| 2022 | ICML | p-Laplacian Based Graph Neural Networks. | Guoji Fu, Peilin Zhao, Yatao Bian |
| 2022 | IJCAI | Fine-Tuning Graph Neural Networks via Graph Topology Induced Optimal Transport. | Jiying Zhang, Xi Xiao, Long-Kai Huang, Yu Rong, Yatao Bian |
| 2022 | KDD | Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. | Bingzhe Wu, Yatao Bian, Hengtong Zhang, Jintang Li, Junchi Yu, Liang Chen, Chaochao Chen, Junzhou Huang |
| 2022 | WWW | Divide-and-Conquer: Post-User Interaction Network for Fake News Detection on Social Media. | Erxue Min, Yu Rong, Yatao Bian, Tingyang Xu, Peilin Zhao, Junzhou Huang, Sophia Ananiadou |
| 2022 | SIGIR | Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer. | Erxue Min, Yu Rong, Tingyang Xu, Yatao Bian, Da Luo, Kangyi Lin, Junzhou Huang, Sophia Ananiadou, Peilin Zhao |
| 2021 | ICLR | Graph Information Bottleneck for Subgraph Recognition. | Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He |
| 2021 | IJCAI | On Self-Distilling Graph Neural Network. | Yuzhao Chen, Yatao Bian, Xi Xiao, Yu Rong, Tingyang Xu, Junzhou Huang |
| 2020 | ICML | From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models. | Aytunc Sahin, Yatao Bian, Joachim M. Buhmann, Andreas Krause |
| 2016 | ITA | Information-theoretic analysis of MaxCut algorithms. | Yatao Bian, Alexey Gronskiy, Joachim M. Buhmann |
| 2015 | ITW | Greedy MaxCut algorithms and their information content. | Yatao Bian, Alexey Gronskiy, Joachim M. Buhmann |
| 2012 | ICPR | Parallelized Annealed Particle Filter for real-time marker-less motion tracking via heterogeneous computing. | Yatao Bian, Xu Zhao, Jian Song, Yuncai Liu |