$\mathcal{S}$ able: bridging the gap in protein structure understanding with an empowering and versatile pre-training paradigm.
Briefings Bioinform., 2025
Long Context Compression with Activation Beacon.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
CryoGEN: Generative Energy-based Models for Cryogenic Electron Tomography Reconstruction.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Pre-training with fractional denoising to enhance molecular property prediction.
Nat. Mac. Intell., 2024
The Latent Road to Atoms: Backmapping Coarse-grained Protein Structures with Latent Diffusion.
CoRR, 2024
Extending Llama-3's Context Ten-Fold Overnight.
CoRR, 2024
SGNet: Folding Symmetrical Protein Complex with Deep Learning.
CoRR, 2024
Soaring from 4K to 400K: Extending LLM's Context with Activation Beacon.
CoRR, 2024
FEW: Multi-modal Recommendation for Cold-Start.
Proceedings of the International Joint Conference on Neural Networks, 2024
Do Efficient Transformers Really Save Computation?
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
FDIG: A Fine-Grained Data Integration Approach for Group Recommendation.
Proceedings of the IEEE International Conference on Acoustics, 2024
Deeper Exploiting Graph Structure Information by Discrete Ricci Curvature in a Graph Transformer.
Entropy, June, 2023
DSR: Dynamical Surface Representation as Implicit Neural Networks for Protein.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
MFVFD: A Multi-Agent Q-Learning Approach to Cooperative and Non-Cooperative Tasks.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Decentralized Circle Formation Control for Fish-like Robots in the Real-world via Reinforcement Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Discriminator Contrastive Divergence: Semi-Amortized Generative Modeling by Exploring Energy of the Discriminator.
CoRR, 2020
Suphx: Mastering Mahjong with Deep Reinforcement Learning.
CoRR, 2020
Beyond Exponentially Discounted Sum: Automatic Learning of Return Function.
CoRR, 2019
Learning Efficient and Effective Exploration Policies with Counterfactual Meta Policy.
CoRR, 2019
G-SGD: Optimizing ReLU Neural Networks in its Positively Scale-Invariant Space.
Proceedings of the 7th International Conference on Learning Representations, 2019
Optimizing Neural Networks in the Equivalent Class Space.
CoRR, 2018
LightGBM: A Highly Efficient Gradient Boosting Decision Tree.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
A Communication-Efficient Parallel Algorithm for Decision Tree.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
FreeSpeech: A Novel Wireless Approach for Conference Projecting and Cooperating.
Proceedings of the Ubiquitous Intelligence and Computing, Third International Conference, 2006