Towards a Deep and Unified Understanding of Deep Neural Models in NLP. - Chaoyu Guan; Xiting Wang; Quanshi Zhang; Runjin Chen; Di He 001; Xing Xie 001 (ICML, 2019)

Semantic Role Labeling with Associated Memory Network. - Chaoyu Guan; Yuhao Cheng; Hai Zhao (NAACL-HLT (1), 2019)

Memory Network for Linguistic Structure Parsing. - Zuchao Li; Chaoyu Guan; Hai Zhao 001; Rui Wang 015; Kevin Parnow; Zhuosheng Zhang 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

MetaDelta: A Meta-Learning System for Few-shot Image Classification. - Yudong Chen 003; Chaoyu Guan; Zhikun Wei; Xin Wang 019; Wenwu Zhu 001 (MetaDL@AAAI, 2021)

AutoAttend: Automated Attention Representation Search. - Chaoyu Guan; Xin Wang 019; Wenwu Zhu 001 (ICML, 2021)

Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. - Adrian El Baz; Ihsan Ullah; Edesio Alcobaça; André C. P. L. F. de Carvalho; Hong Chen 011; Fabio Ferreira; Henry Gouk; Chaoyu Guan; Isabelle Guyon; Timothy M. Hospedales; Shell Hu; Mike Huisman; et al. (NeurIPS (Competition and Demos), 2021)

AutoGL: A Library for Automated Graph Learning. - Chaoyu Guan; Ziwei Zhang 001; Haoyang Li 001; Heng Chang; Zeyang Zhang 001; Yijian Qin; Jiyan Jiang; Xin Wang 019; Wenwu Zhu 001 (CoRR, 2021)

NeurIPS’22 Cross-Domain MetaDL competition: Design and baseline results. - Dustin Carrión-Ojeda; Hong Chen 011; Adrian El Baz; Sergio Escalera; Chaoyu Guan; Isabelle Guyon; Ihsan Ullah; Xin Wang 019; Wenwu Zhu 001 (Meta-Knowledge Transfer @ ECML/PKDD, 2022)

Auxiliary Learning with Joint Task and Data Scheduling. - Hong Chen 011; Xin Wang 019; Chaoyu Guan; Yue Liu; Wenwu Zhu 001 (ICML, 2022)

Large-Scale Graph Neural Architecture Search. - Chaoyu Guan; Xin Wang 019; Hong Chen 011; Ziwei Zhang 001; Wenwu Zhu 001 (ICML, 2022)

Curriculum-NAS: Curriculum Weight-Sharing Neural Architecture Search. - Yuwei Zhou; Xin Wang 019; Hong Chen 011; Xuguang Duan; Chaoyu Guan; Wenwu Zhu 001 (ACM Multimedia, 2022)

Module-Aware Optimization for Auxiliary Learning. - Hong Chen 011; Xin Wang 019; Yue Liu; Yuwei Zhou; Chaoyu Guan; Wenwu Zhu 001 (NeurIPS, 2022)

Multimodal Continual Graph Learning with Neural Architecture Search. - Jie Cai 002; Xin Wang 019; Chaoyu Guan; Yateng Tang; Jin Xu; Bin Zhong; Wenwu Zhu 001 (WWW, 2022)

AutoGT: Automated Graph Transformer Architecture Search. - Zizhao Zhang; Xin Wang 019; Chaoyu Guan; Ziwei Zhang 001; Haoyang Li 001; Wenwu Zhu 001 (ICLR, 2023)

Joint Data-Task Generation for Auxiliary Learning. - Hong Chen 011; Xin Wang 019; Yuwei Zhou; Yijian Qin; Chaoyu Guan; Wenwu Zhu 001 (NeurIPS, 2023)

Lightweight Diffusion Models with Distillation-Based Block Neural Architecture Search. - Siao Tang; Xin Wang 019; Hong Chen 011; Chaoyu Guan; Yansong Tang; Wenwu Zhu 001 (CoRR, 2023)

Post-training Quantization with Progressive Calibration and Activation Relaxing for Text-to-Image Diffusion Models. - Siao Tang; Xin Wang 019; Hong Chen 011; Chaoyu Guan; Zewen Wu; Yansong Tang; Wenwu Zhu 001 (ECCV (56), 2024)

Evaluating the Generalization Ability of Quantized LLMs: Benchmark, Analysis, and Toolbox. - Yijun Liu; Yuan Meng; Fang Wu; Shenhao Peng; Hang Yao; Chaoyu Guan; Chen Tang; Xinzhu Ma; Zhi Wang 001; Wenwu Zhu 001 (CoRR, 2024)

Automated Disentangled Sequential Recommendation with Large Language Models. - Xin Wang 019; Hong Chen 011; Zirui Pan; Yuwei Zhou; Chaoyu Guan; Lifeng Sun; Wenwu Zhu 001 (ACM Trans. Inf. Syst., 2025)