MIX: Multi-Channel Information Crossing for Text Matching. - Haolan Chen; Fred X. Han; Di Niu; Dong Liu 026; Kunfeng Lai; Chenglin Wu; Yu Xu (KDD, 2018)

Matching Natural Language Sentences with Hierarchical Sentence Factorization. - Bang Liu; Ting Zhang; Fred X. Han; Di Niu; Kunfeng Lai; Yu Xu (WWW, 2018)

A Deep Generative Approach to Search Extrapolation and Recommendation. - Fred X. Han; Di Niu; Haolan Chen; Kunfeng Lai; Yancheng He; Yu Xu (KDD, 2019)

Inferring Search Queries from Web Documents via a Graph-Augmented Sequence to Attention Network. - Fred X. Han; Di Niu; Kunfeng Lai; Weidong Guo; Yancheng He; Yu Xu (WWW, 2019)

Meta-Learning for Query Conceptualization at Web Scale. - Fred X. Han; Di Niu; Haolan Chen; Weidong Guo; Shengli Yan; Bowei Long (KDD, 2020)

Story Forest: Extracting Events and Telling Stories from Breaking News. - Bang Liu; Fred X. Han; Di Niu; Linglong Kong; Kunfeng Lai; Yu Xu (ACM Trans. Knowl. Discov. Data, 2020)

L2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning. - Keith G. Mills; Fred X. Han; Mohammad Salameh; Seyed Saeed Changiz Rezaei; Linglong Kong; Wei Lu 023; Shuo Lian; Shangling Jui; Di Niu (CIKM, 2021)

Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search. - Keith G. Mills; Fred X. Han; Jialin Zhang; Seyed Saeed Changiz Rezaei; Fabian Chudak; Wei Lu 023; Shuo Lian; Shangling Jui; Di Niu (CIKM, 2021)

Generative Adversarial Neural Architecture Search. - Seyed Saeed Changiz Rezaei; Fred X. Han; Di Niu; Mohammad Salameh; Keith G. Mills; Shuo Lian; Wei Lu 023; Shangling Jui (IJCAI, 2021)

Exploring Neural Architecture Search Space via Deep Deterministic Sampling. - Keith G. Mills; Mohammad Salameh; Di Niu; Fred X. Han; Seyed Saeed Changiz Rezaei; Hengshuai Yao; Wei Lu 023; Shuo Lian; Shangling Jui (IEEE Access, 2021)

L$^{2}$NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning. - Keith G. Mills; Fred X. Han; Mohammad Salameh; Seyed Saeed Changiz Rezaei; Linglong Kong; Wei Lu 023; Shuo Lian; Shangling Jui; Di Niu (CoRR, 2021)

GENNAPE: Towards Generalized Neural Architecture Performance Estimators. - Keith G. Mills; Fred X. Han; Jialin Zhang; Fabian Chudak; Ali Safari Mamaghani; Mohammad Salameh; Wei Lu 023; Shangling Jui; Di Niu (AAAI, 2023)

AIO-P: Expanding Neural Performance Predictors beyond Image Classification. - Keith G. Mills; Di Niu; Mohammad Salameh; Weichen Qiu; Fred X. Han; Puyuan Liu; Jialin Zhang; Wei Lu 023; Shangling Jui (AAAI, 2023)

AutoGO: Automated Computation Graph Optimization for Neural Network Evolution. - Mohammad Salameh; Keith G. Mills; Negar Hassanpour; Fred X. Han; Shuting Zhang; Wei Lu 023; Shangling Jui; Chunhua Zhou; Fengyu Sun; Di Niu (NeurIPS, 2023)

A General-Purpose Transferable Predictor for Neural Architecture Search. - Fred X. Han; Keith G. Mills; Fabian Chudak; Parsa Riahi; Mohammad Salameh; Jialin Zhang; Wei Lu 023; Shangling Jui; Di Niu (SDM, 2023)

Building Optimal Neural Architectures Using Interpretable Knowledge. - Keith G. Mills; Fred X. Han; Mohammad Salameh; Shengyao Lu; Chunhua Zhou; Jiao He; Fengyu Sun; Di Niu (CVPR, 2024)

CASCO: Cascaded Co-Optimization for Holistic Neural Network Acceleration. - Bahador Rashidi; Shan Lu; Kiarash Aghakasiri; Chao Gao; Fred Xuefei Han; Zhisheng Wang; Laiyuan Gong; Fengyu Sun (DATE, 2024)

Achieving Complex Image Edits via Function Aggregation with Diffusion Models. - Mohammadreza Samadi; Fred X. Han; Mohammad Salameh; Hao Wu; Fengyu Sun; Chunhua Zhou; Di Niu (CoRR, 2024)

FunEditor: Achieving Complex Image Edits via Function Aggregation with Diffusion Models. - Mohammadreza Samadi; Fred X. Han; Mohammad Salameh; Hao Wu; Fengyu Sun; Chunhua Zhou; Di Niu (AAAI, 2025)

Applying Graph Explanation to Operator Fusion. - Keith G. Mills; Muhammad Fetrat Qharabagh; Weichen Qiu; Fred X. Han; Mohammad Salameh; Wei Lu 023; Shangling Jui; Di Niu (CoRR, 2025)