NeurIPS 2026
IncAgg: Efficient Memory-Enhanced Graph Learning via Incremental Aggregation
Xingyue Shi, Zhichao Hou, Jiahao Zhang, Suhang Wang, Tong Zhao, Neil Shah, Xiaorui Liu
Neural Information Processing Systems (NeurIPS)
#efficient-ai#graph-learning
TEFM: Token-Efficient Faithful Modeling for Structured Data
Zhichao Hou, Lingdao Sha, Xueyu Mao, Yang Liu, Peijie Qiu, Rui Song
Preprint
#llm#efficient-ai
Stratified Consistency Distillation for Natural Language Formalization
Zhichao Hou, Ferhat Erata, Joe Lilien, MohamadAli Torkamani
Neural Information Processing Systems (NeurIPS) Workshop VERICODEGEN
#llm#efficient-ai
Towards One-for-All Robustness Across a Continuum of Threat Levels
Zhichao Hou, Xiaorui Liu
Preprint
#trustworthy-ai#adversarial-robustness#efficient-ai
CENTILE: A Telemetry Foundation Model Evaluated by the Decisions It Drives
Zifan Zhang, Zhichao Hou, Tingxiang Ji, Yuchen Liu
Preprint
#efficient-ai#ai-for-networking#generative-models
Harnessing Trust in Directed Graphs: Redefining Robustness of Graph Learning
Zhichao Hou, Xitong Zhang, Wei Wang, Charu C. Aggarwal, Xiaorui Liu
ACM Transactions on Knowledge Discovery from Data (TKDD)
#trustworthy-ai#graph-learning
Fine-Grained Iterative Adversarial Attacks with Limited Computation Budget
Zhichao Hou, Weizhi Gao, Xiaorui Liu
International Conference on Learning Representations (ICLR)
#trustworthy-ai#adversarial-robustness#efficient-ai
Hierarchical Multi-Scale Molecular Conformer Generation with Structural Awareness
Jiapeng Hu, Weizhi Gao, Zhichao Hou, Xiaorui Liu
International Conference on Learning Representations (ICLR)
#ai-for-science#generative-models
HLogformer: A Hierarchical Transformer for Representing Log Data
Zhichao Hou, Mina Ghashami, Mikhail Kuznetsov, Zifan Zhang, Ali Torkamani
Neural Information Processing Systems (NeurIPS) Workshop LCFM
#efficient-ai#transformers
Robustness Reprogramming for Representation Learning
Zhichao Hou, MohamadAli Torkamani, Hamid Krim, Xiaorui Liu
Top 1.4% of 11,670 submissions · International Conference on Learning Representations (ICLR)
#trustworthy-ai#adversarial-robustness
Modulated Diffusion: Accelerating Generative Modeling with Modulated Quantization
Weizhi Gao, Zhichao Hou, Junqi Yin, Feiyi Wang, Linyu Peng, Xiaorui Liu
International Conference on Machine Learning (ICML)
#efficient-ai#generative-models
Post-hoc Interpretability Illumination for Scientific Interaction Discovery
Ling Zhang, Zhichao Hou, Tingxiang Ji, Yuanyuan Xu, Runze Li
International Conference on Learning Representations (ICLR) Workshop XAI4Science
#ai-for-science
Exploring the Potentials and Challenges of Using Large Language Models for the Analysis of Transcriptional Regulation of Long Non-coding RNAs
Wei Wang, Zhichao Hou, Xiaorui Liu, Xinxia Peng
MABM
#ai-for-science#llm#bioinformatics
Boosting Adversarial Robustness and Generalization with Dictionary Structure
Zhichao Hou, Weizhi Gao, Hamid Krim, Runze Li, Xiaorui Liu
Preprint
#trustworthy-ai#adversarial-robustness
ProTransformer: Robustify Transformers via Plug-and-Play Paradigm
Zhichao Hou, Weizhi Gao, Yuchen Shen, Feiyi Wang, Xiaorui Liu
Neural Information Processing Systems (NeurIPS)
#trustworthy-ai#transformers#adversarial-robustness
Robust Graph Neural Networks via Unbiased Aggregation
Zhichao Hou, Ruiqi Feng, Tyler Derr, Xiaorui Liu
Neural Information Processing Systems (NeurIPS)
#trustworthy-ai#graph-learning
Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing
Weizhi Gao, Zhichao Hou, Han Xu, Xiaorui Liu
Neural Information Processing Systems (NeurIPS)
#trustworthy-ai#adversarial-robustness#efficient-ai
Automated Polynomial Filter Learning for Graph Neural Networks
Wendi Yu, Zhichao Hou, Xiaorui Liu
IEEE International Conference on Big Data (IEEE BigData)
#efficient-ai#graph-learning
Incorporating Network Diffusion and Peak Location Information for Better Single-Cell ATAC-seq Data Analysis
Jiating Yu, Jiacheng Leng, Zhichao Hou, Duanchen Sun, Ling-Yun Wu
Briefings in Bioinformatics
#ai-for-science#bioinformatics
Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics
Liming Wu*, Zhichao Hou*, Jirui Yuan, Yu Rong, Wenbing Huang
Neural Information Processing Systems (NeurIPS) · * denotes equal contribution
#ai-for-science#graph-learning
PathExpSurv: Pathway Expansion for Explainable Survival Analysis and Disease Gene Discovery
Zhichao Hou, Jiacheng Leng, Jiating Yu, Zheng Xia, Ling-Yun Wu
BMC Bioinformatics
#ai-for-science#bioinformatics