Text Matching with Monte Carlo Tree Search. - Yixuan He; Shuchang Tao; Jun Xu 001; Jiafeng Guo; Yanyan Lan; Xueqi Cheng (CCIR, 2018)

Scan-Flood Fill(SCAFF): An Efficient Automatic Precise Region Filling Algorithm for Complicated Regions. - Yixuan He; Tianyi Hu; Delu Zeng (CVPR Workshops, 2019)

Evaluations of Electronic Neuron Model for Low Power VLSI Implementation. - Yixuan He; Kyung Ki Kim; Yong-Bin Kim (ISOCC, 2019)

Peak Current Control Boost Converter with Time-Multiplex. - Elizabeth Amyouny; Yixuan He; Kyung Ki Kim; Yong-Bin Kim (ISOCC, 2020)

An Ultra-Low-Power Tunable Bump Circuit using Source-Degenerated Differential Transconductor. - Yixuan He; Minsu Choi; Kyung Ki Kim; Yong-Bin Kim (ISOCC, 2020)

A Tunable High-Gain Low-Noise Transimpedance Amplifier for Biosensing. - Yixuan He; Minsu Choi; Yong-Bin Kim (MWSCAS, 2020)

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models. - Benedek Rozemberczki; Paul Scherer; Yixuan He; George Panagopoulos; Alexander Riedel; Maria Sinziana Astefanoaei; Oliver Kiss; Ferenc Béres; Guzmán López; Nicolas Collignon; Rik Sarkar (CIKM, 2021)

Multimodal Transformer Networks with Latent Interaction for Audio-Visual Event Localization. - Yixuan He; Xing Xu 001; Xin Liu 011; Weihua Ou; Huimin Lu 001 (ICME, 2021)

A Time-Domain Computing-In-Memory Micro using Ring Oscillator. - Yixuan He; Minsu Choi; Kyung Ki Kim; Yong-Bin Kim (ISOCC, 2021)

A Stray-Insensitive Low-Power Capacitive Sensor Interface with Time-Compensation Technique. - Yixuan He; Yong-Bin Kim (MWSCAS, 2021)

MagNet: A Neural Network for Directed Graphs. - Xitong Zhang; Yixuan He; Nathan Brugnone; Michael Perlmutter; Matthew J. Hirn (NeurIPS, 2021)

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models. - Benedek Rozemberczki; Paul Scherer; Yixuan He; George Panagopoulos; Maria Sinziana Astefanoaei; Oliver Kiss; Ferenc Béres; Nicolas Collignon; Rik Sarkar (CoRR, 2021)

DIGRAC: Digraph Clustering with Flow Imbalance. - Yixuan He; Gesine Reinert; Mihai Cucuringu (CoRR, 2021)

Cross-Modal Hybrid Feature Fusion for Image-Sentence Matching. - Xing Xu 001; Yifan Wang; Yixuan He; Yang Yang 002; Alan Hanjalic; Heng Tao Shen (ACM Trans. Multim. Comput. Commun. Appl., 2021)

GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks. - Yixuan He; Quan Gan; David Wipf; Gesine D. Reinert; Junchi Yan; Mihai Cucuringu (ICML, 2022)

A Time-Domain Parallel Counter for Deep Learning Macro. - Yixuan He; Minsu Choi; Kyung Ki Kim; Yong-Bin Kim (ISOCC, 2022)

MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian. - Yixuan He; Michael Perlmutter; Gesine Reinert; Mihai Cucuringu (LoG, 2022)

DIGRAC: Digraph Clustering Based on Flow Imbalance. - Yixuan He; Gesine Reinert; Mihai Cucuringu (LoG, 2022)

CEP3: Community Event Prediction With Neural Point Process on Graph. - Xuhong Wang; Sirui Chen; Yixuan He; Minjie Wang; Quan Gan; Junchi Yan (LoG, 2022)

SSSNET: Semi-Supervised Signed Network Clustering. - Yixuan He; Gesine Reinert; Songchao Wang; Mihai Cucuringu (SDM, 2022)

GNNs for Node Clustering in Signed and Directed Networks. - Yixuan He (WSDM, 2022)

PyTorch Geometric Signed Directed: A Survey and Software on Graph Neural Networks for Signed and Directed Graphs. - Yixuan He; Xitong Zhang; Junjie Huang; Mihai Cucuringu; Gesine Reinert (CoRR, 2022)

CEP3: Community Event Prediction with Neural Point Process on Graph. - Xuhong Wang; Sirui Chen; Yixuan He; Minjie Wang; Quan Gan; Yupu Yang; Junchi Yan (CoRR, 2022)

Modeling Two-Stream Correspondence for Visual Sound Separation. - Yixuan He; Xing Xu 001; Jingran Zhang; Fumin Shen; Yang Yang 002; Heng Tao Shen (IEEE Trans. Circuits Syst. Video Technol., 2022)

DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion. - Qitian Wu; Chenxiao Yang; Wentao Zhao; Yixuan He; David Wipf; Junchi Yan (ICLR, 2023)

Low-Power Counters using Pathfinding Technique. - Yixuan He; Minsu Choi; Kyung-Ki Kim; Yong-Bin Kim (ISOCC, 2023)

Pyramid Graph Neural Network: A Graph Sampling and Filtering Approach for Multi-scale Disentangled Representations. - Haoyu Geng; Chao Chen 016; Yixuan He; Gang Zeng; Zhaobing Han; Hua Chai; Junchi Yan (KDD, 2023)

PyTorch Geometric Signed Directed: A Software Package on Graph Neural Networks for Signed and Directed Graphs. - Yixuan He; Xitong Zhang; Junjie Huang; Benedek Rozemberczki; Mihai Cucuringu; Gesine Reinert (LoG, 2023)

Pedal Me Bicycle Deliveries. - Benedek Rozemberczki; Paul Scherer; Yixuan He; George Panagopoulos; Maria Sinziana Astefanoaei; Oliver Kiss; Ferenc Béres; Nicolas Collignon; Rik Sarkar (UCI-MLR, 2023)

NUSS:Non-Interactive Updatable of Secret Sharing Schemes Using Homomorphic Encryption. - Yixuan He; Samsul Huda; Yuta Kodera; Yasuyuki Nogami (CANDARW, 2024)

LLMs are Good Sign Language Translators. - Jia Gong; Lin Geng Foo; Yixuan He; Hossein Rahmani 001; Jun Liu 036 (CVPR, 2024)

IRS-Assisted Lossy Communications Under Correlated Rayleigh Fading: Outage Probability Analysis and Optimization. - Guanchang Li; Wensheng Lin; Lixin Li 001; Yixuan He; Fucheng Yang; Zhu Han 001 (GLOBECOM, 2024)

A Study to Improve Calculation Efficiency of CKKS Encoding with Parallelization. - Taichi Saito; Yixuan He; Samsul Huda; Junting Xiao; Yuta Kodera; Yasuyuki Nogami (ICCE-Taiwan, 2024)

Robust Angular Synchronization via Directed Graph Neural Networks. - Yixuan He; Gesine Reinert; David Wipf; Mihai Cucuringu (ICLR, 2024)

Generalization Error of Graph Neural Networks in the Mean-field Regime. - Gholamali Aminian; Yixuan He; Gesine Reinert; Lukasz Szpruch; Samuel N. Cohen (ICML, 2024)

Inferring Metabolic States from Single Cell Transcriptomic Data via Geometric Deep Learning. - Holly R. Steach; Siddharth Viswanath; Yixuan He; Xitong Zhang; Natalia Ivanova; Matthew J. Hirn; Michael Perlmutter; Smita Krishnaswamy (RECOMB, 2024)

Avatar Concept Slider: Manipulate Concepts In Your Human Avatar With Fine-grained Control. - Yixuan He; Lin Geng Foo; Ajmal Saeed Mian; Hossein Rahmani 001; Jun Jiu (CoRR, 2024)

Unlocking Scientific Concepts: How Effective Are LLM-Generated Analogies for Student Understanding and Classroom Practice? - Zekai Shao; Siyu Yuan; Lin Gao; Yixuan He; Deqing Yang; Siming Chen 001 (CHI, 2025)

Efficient generation of power system topology diagrams based on Graph Neural Network. - Chen Yang; Shengyang Wu; Tao Liu; Yixuan He; Jingyu Wang; Dongyuan Shi (Eng. Appl. Artif. Intell., 2025)

Learning to Fuse Temporal Proximity Networks: A Case Study in Chimpanzee Social Interactions. - Yixuan He; Aaron Sandel; David Wipf; Mihai Cucuringu; John Mitani; Gesine Reinert (CoRR, 2025)

Do Language Model Agents Align with Humans in Rating Visualizations? An Empirical Study. - Zekai Shao; Yi Shan; Yixuan He; Yuxuan Yao; Junhong Wang; Xiaolong Zhang; Yu Zhang; Siming Chen (CoRR, 2025)

PGT-I: Scaling Spatiotemporal GNNs with Memory-Efficient Distributed Training. - Seth Ockerman; Amal Gueroudji; Tanwi Mallick; Yixuan He; Line Pouchard; Robert B. Ross; Shivaram Venkataraman (CoRR, 2025)