Huiqi Deng
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
10
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Non-Stationary Predictions May Be More Informative: Exploring Pseudo-Labels with a Two-Phase Pattern of Training Dynamics. | Hongbin Pei, Jingxin Hai, Yu Li, Huiqi Deng, Denghao Ma, Jie Ma, Pinghui Wang, Jing Tao, Xiaohong Guan |
| 2025 | ICML | Towards Attributions of Input Variables in a Coalition. | Xinhao Zheng, Huiqi Deng, Quanshi Zhang |
| 2025 | ICNP | Let's Synthesize Step-by-Step: Generating Network Configurations with Chain of Thought. | Jingtian Wei, Xingrong Gao, Xinyi Cao, Huiqi Deng, Yi Qian, Peng Zhang |
| 2024 | AAAI | HAGO-Net: Hierarchical Geometric Massage Passing for Molecular Representation Learning. | Hongbin Pei, Taile Chen, Chen A, Huiqi Deng, Jing Tao, Pinghui Wang, Xiaohong Guan |
| 2024 | AAAI | Explaining Generalization Power of a DNN Using Interactive Concepts. | Huilin Zhou, Hao Zhang, Huiqi Deng, Dongrui Liu, Wen Shen, Shih-Han Chan, Quanshi Zhang |
| 2024 | COLING | Mitigating Shortcuts in Language Models with Soft Label Encoding. | Zirui He, Huiqi Deng, Haiyan Zhao, Ninghao Liu, Mengnan Du |
| 2024 | ICML | Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning via Preventing Heterophily Mixing. | Hongbin Pei, Yu Li, Huiqi Deng, Jingxin Hai, Pinghui Wang, Jie Ma, Jing Tao, Yuheng Xiong, Xiaohong Guan |
| 2024 | WWW | Memory Disagreement: A Pseudo-Labeling Measure from Training Dynamics for Semi-supervised Graph Learning. | Hongbin Pei, Yuheng Xiong, Pinghui Wang, Jing Tao, Jialun Liu, Huiqi Deng, Jie Ma, Xiaohong Guan |
| 2023 | CVPR | Defining and Quantifying the Emergence of Sparse Concepts in DNNs. | Jie Ren, Mingjie Li, Qirui Chen, Huiqi Deng, Quanshi Zhang |
| 2023 | ICML | Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts. | Qihan Ren, Huiqi Deng, Yunuo Chen, Siyu Lou, Quanshi Zhang |
| 2022 | ICLR | Discovering and Explaining the Representation Bottleneck of DNNS. | Huiqi Deng, Qihan Ren, Hao Zhang, Quanshi Zhang |
| 2021 | AAAI | A Unified Taylor Framework for Revisiting Attribution Methods. | Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu |
| 2021 | KDD | Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution. | Huiqi Deng, Na Zou, Weifu Chen, Guocan Feng, Mengnan Du, Xia Hu |
| 2019 | CIKM | UA-CRNN: Uncertainty-Aware Convolutional Recurrent Neural Network for Mortality Risk Prediction. | Qingxiong Tan, Andy Jinhua Ma, Mang Ye, Baoyao Yang, Huiqi Deng, Vincent Wai-Sun Wong, Yee-Kit Tse, Terry Cheuk-Fung Yip, Grace Lai-Hung Wong, Jessica Yuet-Ling Ching, Francis Ka-Leung Chan, Pong C. Yuen |
| 2018 | AMIA | A Hybrid Residual Network and Long Short-Term Memory Method for Peptic Ulcer Bleeding Mortality Prediction. | Qingxiong Tan, Andy Jinhua Ma, Huiqi Deng, Vincent W. S. Wong, Yee-Kit Tse, Terry Cheuk-Fung Yip, Grace Lai-Hung Wong, Ching Ling Jessica Yuet, Francis Ka-Leung Chan, Pong C. Yuen |