Huiqi Deng - RankMe

35 papers A* 12A 1B 1Misc 1Journal 18Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Attribution Explanations for Deep Neural Networks: A Theoretical Perspective. CoRR Huiqi Deng, Hongbin Pei, Quanshi Zhang, Mengnan Du
2025	J	`jnl`	HyperplaneGAN: a unified consistent translation framework for facial attribute editing. Multim. Tools Appl. Defang Li, Huiqi Deng, Peng Qin, Weifu Chen, Guocan Feng
2025	B	`conf`	Let's Synthesize Step-by-Step: Generating Network Configurations with Chain of Thought. ICNP Jingtian Wei, Xingrong Gao, Xinyi Cao, Huiqi Deng, Yi Qian, Peng Zhang
2025	A*	`conf`	Non-Stationary Predictions May Be More Informative: Exploring Pseudo-Labels with a Two-Phase Pattern of Training Dynamics. ICML Hongbin Pei, Jingxin Hai, Yu Li, Huiqi Deng, Denghao Ma, Jie Ma, Pinghui Wang, Jing Tao, Xiaohong Guan
2025	J	`jnl`	Online Distributed Heterogeneous Streaming Feature Selection. ACM Trans. Intell. Syst. Technol. Peng Zhou, Huiqi Deng, Yunyun Zhang, Zhaolong Ling, Xindong Wu
2025	J	`jnl`	The Interaction Bottleneck of Deep Neural Networks: Discovery, Proof, and Modulation. CoRR Huiqi Deng, Qihan Ren, Zhuofan Chen, Zhenyuan Cui, Wen Shen, Peng Zhang, Hongbin Pei, Quanshi Zhang
2025	A*	`conf`	Towards Attributions of Input Variables in a Coalition. ICML Xinhao Zheng, Huiqi Deng, Quanshi Zhang
2024	J	`jnl`	Explainability for Large Language Models: A Survey. ACM Trans. Intell. Syst. Technol. Haiyan Zhao, Hanjie Chen, Fan Yang, Ninghao Liu, Huiqi Deng, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Mengnan Du
2024	A*	`conf`	Explaining Generalization Power of a DNN Using Interactive Concepts. AAAI Huilin Zhou, Hao Zhang, Huiqi Deng, Dongrui Liu, Wen Shen, Shih-Han Chan, Quanshi Zhang
2024	A*	`conf`	HAGO-Net: Hierarchical Geometric Massage Passing for Molecular Representation Learning. AAAI Hongbin Pei, Taile Chen, Chen A, Huiqi Deng, Jing Tao, Pinghui Wang, Xiaohong Guan
2024	J	`jnl`	Interpretability of Neural Networks Based on Game-theoretic Interactions. Mach. Intell. Res. Huilin Zhou, Jie Ren, Huiqi Deng, Xu Cheng, Jinpeng Zhang, Quanshi Zhang
2024	A*	`conf`	Memory Disagreement: A Pseudo-Labeling Measure from Training Dynamics for Semi-supervised Graph Learning. WWW Hongbin Pei, Yuheng Xiong, Pinghui Wang, Jing Tao, Jialun Liu, Huiqi Deng, Jie Ma, Xiaohong Guan
2024	—	`conf`	Mitigating Shortcuts in Language Models with Soft Label Encoding. LREC/COLING Zirui He, Huiqi Deng, Haiyan Zhao, Ninghao Liu, Mengnan Du
2024	A*	`conf`	Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning via Preventing Heterophily Mixing. ICML Hongbin Pei, Yu Li, Huiqi Deng, Jingxin Hai, Pinghui Wang, Jie Ma, Jing Tao, Yuheng Xiong, Xiaohong Guan
2024	J	`jnl`	Unifying Fourteen Post-Hoc Attribution Methods With Taylor Interactions. IEEE Trans. Pattern Anal. Mach. Intell. Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Ziwei Yang, Zheyang Li, Quanshi Zhang
2023	A*	`conf`	Bayesian Neural Networks Avoid Encoding Complex and Perturbation-Sensitive Concepts. ICML Qihan Ren, Huiqi Deng, Yunuo Chen, Siyu Lou, Quanshi Zhang
2023	J	`jnl`	Bayesian Neural Networks Tend to Ignore Complex and Sensitive Concepts. CoRR Qihan Ren, Huiqi Deng, Yunuo Chen, Siyu Lou, Quanshi Zhang
2023	J	`jnl`	Concept-Level Explanation for the Generalization of a DNN. CoRR Huilin Zhou, Hao Zhang, Huiqi Deng, Dongrui Liu, Wen Shen, Shih-Han Chan, Quanshi Zhang
2023	A*	`conf`	Defining and Quantifying the Emergence of Sparse Concepts in DNNs. CVPR Jie Ren, Mingjie Li, Qirui Chen, Huiqi Deng, Quanshi Zhang
2023	J	`jnl`	Explainability for Large Language Models: A Survey. CoRR Haiyan Zhao, Hanjie Chen, Fan Yang, Ninghao Liu, Huiqi Deng, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Mengnan Du
2023	J	`jnl`	Mitigating Shortcuts in Language Models with Soft Label Encoding. CoRR Zirui He, Huiqi Deng, Haiyan Zhao, Ninghao Liu, Mengnan Du
2023	J	`jnl`	Towards Attributions of Input Variables in a Coalition. CoRR Xinhao Zheng, Huiqi Deng, Quanshi Zhang
2023	A*	`conf`	Towards the Difficulty for a Deep Neural Network to Learn Concepts of Different Complexities. NeurIPS Dongrui Liu, Huiqi Deng, Xu Cheng, Qihan Ren, Kangrui Wang, Quanshi Zhang
2023	J	`jnl`	Understanding and Unifying Fourteen Attribution Methods with Taylor Interactions. CoRR Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Ziwei Yang, Zheyang Li, Quanshi Zhang
2022	A*	`conf`	Discovering and Explaining the Representation Bottleneck of DNNS. ICLR Huiqi Deng, Qihan Ren, Hao Zhang, Quanshi Zhang
2021	A*	`conf`	A Unified Taylor Framework for Revisiting Attribution Methods. AAAI Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu
2021	J	`jnl`	Discovering and Explaining the Representation Bottleneck of DNNs. CoRR Huiqi Deng, Qihan Ren, Xu Chen, Hao Zhang, Jie Ren, Quanshi Zhang
2021	A*	`conf`	Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution. KDD Huiqi Deng, Na Zou, Weifu Chen, Guocan Feng, Mengnan Du, Xia Hu
2021	J	`jnl`	Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution. CoRR Huiqi Deng, Na Zou, Weifu Chen, Guocan Feng, Mengnan Du, Xia Hu
2021	J	`jnl`	Towards Axiomatic, Hierarchical, and Symbolic Explanation for Deep Models. CoRR Jie Ren, Mingjie Li, Qirui Chen, Huiqi Deng, Quanshi Zhang
2020	J	`jnl`	A Unified Taylor Framework for Revisiting Attribution Methods. CoRR Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu
2020	J	`jnl`	Invariant subspace learning for time series data based on dynamic time warping distance. Pattern Recognit. Huiqi Deng, Weifu Chen, Qi Shen, Andy Jinhua Ma, Pong C. Yuen, Guocan Feng
2019	A	`conf`	UA-CRNN: Uncertainty-Aware Convolutional Recurrent Neural Network for Mortality Risk Prediction. CIKM 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	Misc	`conf`	A Hybrid Residual Network and Long Short-Term Memory Method for Peptic Ulcer Bleeding Mortality Prediction. AMIA 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
2018	—	`conf`	Robust Shapelets Learning: Transform-Invariant Prototypes. PRCV (3) Huiqi Deng, Weifu Chen, Andy Jinhua Ma, Qi Shen, Pong C. Yuen, Guocan Feng