| 2026 | ACL | Understanding the Behaviors of Environment-aware Information Retrieval. | Ruifeng Yuan, Chaohao Yuan, David Dai, Yu Rong, Hong Cheng, Hou Pong Chan, Chenghao Xiao |
| 2026 | WSDM | ParaFormer: A Generalized PageRank Graph Transformer for Graph Representation Learning. | Chaohao Yuan, Zhenjie Song, Ercan Engin Kuruoglu, Kangfei Zhao, Yang Liu, Deli Zhao, Hong Cheng, Yu Rong |
| 2025 | ACL | FineReason: Evaluating and Improving LLMs' Deliberate Reasoning through Reflective Puzzle Solving. | Guizhen Chen, Weiwen Xu, Hao Zhang, Hou Pong Chan, Chaoqun Liu, Lidong Bing, Deli Zhao, Anh Tuan Luu, Yu Rong |
| 2025 | ACL | Analyzing LLMs' Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations. | Chenghao Xiao, Hou Pong Chan, Hao Zhang, Mahani Aljunied, Lidong Bing, Noura Al Moubayed, Yu Rong |
| 2025 | ACL | Disentangling Language and Culture for Evaluating Multilingual Large Language Models. | Jiahao Ying, Wei Tang, Yiran Zhao, Yixin Cao, Yu Rong, Wenxuan Zhang |
| 2025 | CIKM | From Post To Personality: Harnessing LLMs for MBTI Prediction in Social Media. | Tian Ma, Kaiyu Feng, Yu Rong, Kangfei Zhao |
| 2025 | CVPR | LUCAS: Layered Universal Codec Avatars. | Di Liu, Teng Deng, Giljoo Nam, Yu Rong, Stanislav Pidhorskyi, Junxuan Li, Jason M. Saragih, Dimitris N. Metaxas, Chen Cao |
| 2025 | EMNLP | GeoPQA: Bridging the Visual Perception Gap in MLLMs for Geometric Reasoning. | Guizhen Chen, Weiwen Xu, Hao Zhang, Hou Pong Chan, Deli Zhao, Anh Tuan Luu, Yu Rong |
| 2025 | EMNLP | Chain of Ideas: Revolutionizing Research Via Novel Idea Development with LLM Agents. | Long Li, Weiwen Xu, Jiayan Guo, Ruochen Zhao, Xingxuan Li, Yuqian Yuan, Boqiang Zhang, Yuming Jiang, Yifei Xin, Ronghao Dang, Yu Rong, Deli Zhao, Tian Feng, Lidong Bing |
| 2025 | EMNLP | ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning. | Yu Sun, Xingyu Qian, Weiwen Xu, Hao Zhang, Chenghao Xiao, Long Li, Deli Zhao, Wenbing Huang, Tingyang Xu, Qifeng Bai, Yu Rong |
| 2025 | ICCV | Witness Sensing for Verifying the Human Origin of Digital Media. | Isabella Lenz, Yu Rong, Daniel W. Bliss, Julie Liss, Visar Berisha |
| 2025 | ICDE | All-in-One: Heterogeneous Interaction Modeling for Cold-Start Rating Prediction. | Shuheng Fang, Kangfei Zhao, Yu Rong, Jeffrey Xu Yu, Zhixun Li |
| 2025 | ICLR | MolSpectra: Pre-training 3D Molecular Representation with Multi-modal Energy Spectra. | Liang Wang, Shaozhen Liu, Yu Rong, Deli Zhao, Qiang Liu, Shu Wu, Liang Wang |
| 2025 | ICLR | CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer. | Yang Liu, Zinan Zheng, Jiashun Cheng, Fugee Tsung, Deli Zhao, Yu Rong, Jia Li |
| 2025 | ICLR | InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization. | Yifan Niu, Ziqi Gao, Tingyang Xu, Yang Liu, Yatao Bian, Yu Rong, Junzhou Huang, Jia Li |
| 2025 | ICLR | Atomas: Hierarchical Adaptive Alignment on Molecule-Text for Unified Molecule Understanding and Generation. | Yikun Zhang, Geyan Ye, Chaohao Yuan, Bo Han, Long-Kai Huang, Jianhua Yao, Wei Liu, Yu Rong |
| 2025 | ICML | IBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck. | Tian Bian, Yifan Niu, Chaohao Yuan, Chengzhi Piao, Bingzhe Wu, Long-Kai Huang, Yu Rong, Tingyang Xu, Hong Cheng, Jia Li |
| 2025 | ICML | Large Language-Geometry Model: When LLM meets Equivariance. | Zongzhao Li, Jiacheng Cen, Bing Su, Tingyang Xu, Yu Rong, Deli Zhao, Wenbing Huang |
| 2025 | KDD | Equivariant and Invariant Message Passing for Global Subseasonal-to-seasonal Forecasting. | Yang Liu, Zinan Zheng, Yu Rong, Deli Zhao, Hong Cheng, Jia Li |
| 2025 | KDD | Annotation-guided Protein Design with Multi-Level Domain Alignment. | Chaohao Yuan, Songyou Li, Geyan Ye, Yikun Zhang, Long-Kai Huang, Wenbing Huang, Wei Liu, Jianhua Yao, Yu Rong |
| 2025 | RecSys | Hierarchical Graph Information Bottleneck for Multi-Behavior Recommendation. | Hengyu Zhang, Chunxu Shen, Xiangguo Sun, Jie Tan, Yanchao Tan, Yu Rong, Hong Cheng, Lingling Yi |
| 2025 | SIGIR | Adaptive Graph Integration for Cross-Domain Recommendation via Heterogeneous Graph Coordinators. | Hengyu Zhang, Chunxu Shen, Xiangguo Sun, Jie Tan, Yu Rong, Chengzhi Piao, Hong Cheng, Lingling Yi |
| 2024 | CIKM | Hierarchical Graph Latent Diffusion Model for Conditional Molecule Generation. | Tian Bian, Yifan Niu, Heng Chang, Divin Yan, Junzhou Huang, Yu Rong, Tingyang Xu, Jia Li, Hong Cheng |
| 2024 | CIKM | Natural Language-Assisted Multi-modal Medication Recommendation. | Jie Tan, Yu Rong, Kangfei Zhao, Tian Bian, Tingyang Xu, Junzhou Huang, Hong Cheng, Helen Meng |
| 2024 | ICASSP | Motion-Tolerant Radar-Based Heart Sound Detection. | Yu Rong, Kawon Han, Isabella Lenz, Daniel W. Bliss |
| 2024 | ICLR | SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases. | Yang Liu, Jiashun Cheng, Haihong Zhao, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li, Yu Rong |
| 2024 | ICLR | Neural Atoms: Propagating Long-range Interaction in Molecular Graphs through Efficient Communication Channel. | Xuan Li, Zhanke Zhou, Jiangchao Yao, Yu Rong, Lu Zhang, Bo Han |
| 2024 | KDD | Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Broad Physical Dynamics Learning. | Zinan Zheng, Yang Liu, Jia Li, Jianhua Yao, Yu Rong |
| 2023 | AAAI | Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs. | Rui Jiao, Jiaqi Han, Wenbing Huang, Yu Rong, Yang Liu |
| 2023 | AAAI | DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery - a Focus on Affinity Prediction Problems with Noise Annotations. | Yuanfeng Ji, Lu Zhang, Jiaxiang Wu, Bingzhe Wu, Lanqing Li, Long-Kai Huang, Tingyang Xu, Yu Rong, Jie Ren, Ding Xue, Houtim Lai, Wei Liu, Junzhou Huang, Shuigeng Zhou, Ping Luo, Peilin Zhao, Yatao Bian |
| 2023 | AAAI | Human Mobility Modeling during the COVID-19 Pandemic via Deep Graph Diffusion Infomax. | Yang Liu, Yu Rong, Zhuoning Guo, Nuo Chen, Tingyang Xu, Fugee Tsung, Jia Li |
| 2023 | ACSSC | Novel Respiration-Free Heartbeat Detection Algorithm Using Millimeter-Wave Radar: Invited Paper. | Yu Rong, Kumar Vijay Mishra, Daniel W. Bliss |
| 2023 | CIKM | Geometric Graph Learning for Protein Mutation Effect Prediction. | Kangfei Zhao, Yu Rong, Biaobin Jiang, Jianheng Tang, Hengtong Zhang, Jeffrey Xu Yu, Peilin Zhao |
| 2023 | DASFAA | Learning with Small Data: Subgraph Counting Queries. | Kangfei Zhao, Jeffrey Xu Yu, Zongyan He, Yu Rong |
| 2023 | EMNLP | Be Selfish, But Wisely: Investigating the Impact of Agent Personality in Mixed-Motive Human-Agent Interactions. | Kushal Chawla, Ian Wu, Yu Rong, Gale M. Lucas, Jonathan Gratch |
| 2023 | ICASSP | Wireless Sensing for Simultaneous Human Vocal Sound and Heart Sound Recognition. | Yu Rong, Kumar Vijay Mishra, Daniel W. Bliss |
| 2023 | ICDE | Decision Support System for Chronic Diseases Based on Drug-Drug Interactions. | Tian Bian, Yuli Jiang, Jia Li, Tingyang Xu, Yu Rong, Yi Su, Timothy C. Y. Kwok, Helen Meng, Hong Cheng |
| 2023 | KDD | Privacy Matters: Vertical Federated Linear Contextual Bandits for Privacy Protected Recommendation. | Zeyu Cao, Zhipeng Liang, Bingzhe Wu, Shu Zhang, Hangyu Li, Ouyang Wen, Yu Rong, Peilin Zhao |
| 2022 | ACSSC | Tuning Algorithm to Compensate for Hardware Errors of IBFD Analog Device. | Carl W. Morgenstern, Yu Rong, Andrew Herschfelt, Alyosha C. Molnar, Alyssa B. Apsel, David G. Landon, Daniel W. Bliss |
| 2022 | CVPR | Towards Diverse and Natural Scene-aware 3D Human Motion Synthesis. | Jingbo Wang, Yu Rong, Jingyuan Liu, Sijie Yan, Dahua Lin, Bo Dai |
| 2022 | ICDE | Finding Critical Users in Social Communities via Graph Convolutions (Extended Abstract). | Kangfei Zhao, Zhiwei Zhang, Yu Rong, Jeffrey Xu Yu, Junzhou Huang |
| 2022 | ICLR | Equivariant Graph Mechanics Networks with Constraints. | Wenbing Huang, Jiaqi Han, Yu Rong, Tingyang Xu, Fuchun Sun, Junzhou Huang |
| 2022 | ICLR | Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning. | Yatao Bian, Yu Rong, Tingyang Xu, Jiaxiang Wu, Andreas Krause, Junzhou Huang |
| 2022 | ICML | Frustratingly Easy Transferability Estimation. | Long-Kai Huang, Junzhou Huang, Yu Rong, Qiang Yang, Ying Wei |
| 2022 | ICML | Local Augmentation for Graph Neural Networks. | Songtao Liu, Rex Ying, Hanze Dong, Lanqing Li, Tingyang Xu, Yu Rong, Peilin Zhao, Junzhou Huang, Dinghao Wu |
| 2022 | IJCAI | Fine-Tuning Graph Neural Networks via Graph Topology Induced Optimal Transport. | Jiying Zhang, Xi Xiao, Long-Kai Huang, Yu Rong, Yatao Bian |
| 2022 | WWW | Divide-and-Conquer: Post-User Interaction Network for Fake News Detection on Social Media. | Erxue Min, Yu Rong, Yatao Bian, Tingyang Xu, Peilin Zhao, Junzhou Huang, Sophia Ananiadou |
| 2022 | SIGIR | Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer. | Erxue Min, Yu Rong, Tingyang Xu, Yatao Bian, Da Luo, Kangyi Lin, Junzhou Huang, Sophia Ananiadou, Peilin Zhao |
| 2022 | WSDM | A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising. | Chao Wen, Miao Xu, Zhilin Zhang, Zhenzhe Zheng, Yuhui Wang, Xiangyu Liu, Yu Rong, Dong Xie, Xiaoyang Tan, Chuan Yu, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu, Bo Zheng |
| 2021 | AAAI | Hierarchical Graph Capsule Network. | Jinyu Yang, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, Junzhou Huang |
| 2021 | CIKM | Spectral Graph Attention Network with Fast Eigen-approximation. | Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Somayeh Sojoudi, Junzhou Huang, Wenwu Zhu |
| 2021 | CIKM | Unsupervised Large-Scale Social Network Alignment via Cross Network Embedding. | Zhehan Liang, Yu Rong, Chenxin Li, Yunlong Zhang, Yue Huang, Tingyang Xu, Xinghao Ding, Junzhou Huang |
| 2021 | DASFAA | Towards Expectation-Maximization by SQL in RDBMS. | Kangfei Zhao, Jeffrey Xu Yu, Yu Rong, Ming Liao, Junzhou Huang |
| 2021 | ICCV | Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation. | Jinyu Yang, Chunyuan Li, Weizhi An, Hehuan Ma, Yuzhi Guo, Yu Rong, Peilin Zhao, Junzhou Huang |
| 2021 | ICLR | Graph Information Bottleneck for Subgraph Recognition. | Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He |
| 2021 | ICML | Learning Diverse-Structured Networks for Adversarial Robustness. | Xuefeng Du, Jingfeng Zhang, Bo Han, Tongliang Liu, Yu Rong, Gang Niu, Junzhou Huang, Masashi Sugiyama |
| 2021 | IJCAI | On Self-Distilling Graph Neural Network. | Yuzhao Chen, Yatao Bian, Xi Xiao, Yu Rong, Tingyang Xu, Junzhou Huang |
| 2021 | IJCNN | Towards Feature-free TSP Solver Selection: A Deep Learning Approach. | Kangfei Zhao, Shengcai Liu, Jeffrey Xu Yu, Yu Rong |
| 2021 | Interspeech | Cross-Linguistic Perception of the Japanese Singleton/Geminate Contrast: Korean, Mandarin and Mongolian Compared. | Kimiko Tsukada, Yu Rong, Joo-Yeon Kim, Jeong-Im Han, John Hajek |
| 2021 | IECON | PLL-based Clock Recovery Stability Analysis for Distributed Power Electronics Communication Networks with Sub-nanosecond Synchronization Accuracy. | Yu Rong, Jun Wang, Zhiyu Shen, Boran Fan, Dushan Boroyevich, Rolando Burgos |
| 2021 | KDD | Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising. | Xiangyu Liu, Chuan Yu, Zhilin Zhang, Zhenzhe Zheng, Yu Rong, Hongtao Lv, Da Huo, Yiqing Wang, Dagui Chen, Jian Xu, Fan Wu, Guihai Chen, Xiaoqiang Zhu |
| 2021 | SIGMOD | A Learned Sketch for Subgraph Counting. | Kangfei Zhao, Jeffrey Xu Yu, Hao Zhang, Qiyan Li, Yu Rong |
| 2021 | WISE | Graph Ordering: Towards the Optimal by Learning. | Kangfei Zhao, Yu Rong, Jeffrey Xu Yu, Wenbing Huang, Junzhou Huang, Hao Zhang |
| 2020 | AAAI | Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks. | Tian Bian, Xi Xiao, Tingyang Xu, Peilin Zhao, Wenbing Huang, Yu Rong, Junzhou Huang |
| 2020 | AAAI | A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models. | Heng Chang, Yu Rong, Tingyang Xu, Wenbing Huang, Honglei Zhang, Peng Cui, Wenwu Zhu, Junzhou Huang |
| 2020 | ACSSC | Respiration and Cardiac Activity Sensing Using 3-D Cameras. | Yu Rong, Sharanya Srinivas, Huiwen Chu, Hanguang Yu, Kailing Liu, Daniel W. Bliss |
| 2020 | ICLR | DropEdge: Towards Deep Graph Convolutional Networks on Node Classification. | Yu Rong, Wenbing Huang, Tingyang Xu, Junzhou Huang |
| 2020 | KDD | Deep Graph Learning: Foundations, Advances and Applications. | Yu Rong, Tingyang Xu, Junzhou Huang, Wenbing Huang, Hong Cheng, Yao Ma, Yiqi Wang, Tyler Derr, Lingfei Wu, Tengfei Ma |
| 2020 | WWW | Adversarial Attack on Community Detection by Hiding Individuals. | Jia Li, Honglei Zhang, Zhichao Han, Yu Rong, Hong Cheng, Junzhou Huang |
| 2020 | WWW | Graph Representation Learning via Graphical Mutual Information Maximization. | Zhen Peng, Wenbing Huang, Minnan Luo, Qinghua Zheng, Yu Rong, Tingyang Xu, Junzhou Huang |
| 2019 | ACSSC | UWB Radar Vibrometry : An RF Microphone. | Yu Rong, Sharanya Srinivas, Adarsh A. Venkataramani, Daniel W. Bliss |
| 2019 | CVPR | Progressive Feature Alignment for Unsupervised Domain Adaptation. | Chaoqi Chen, Weiping Xie, Wenbing Huang, Yu Rong, Xinghao Ding, Yue Huang, Tingyang Xu, Junzhou Huang |
| 2019 | ICCV | Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild. | Yu Rong, Ziwei Liu, Cheng Li, Kaidi Cao, Chen Change Loy |
| 2019 | ICCV | Graph Convolutional Networks for Temporal Action Localization. | Runhao Zeng, Wenbing Huang, Chuang Gan, Mingkui Tan, Yu Rong, Peilin Zhao, Junzhou Huang |
| 2019 | WWW | Semi-Supervised Graph Classification: A Hierarchical Graph Perspective. | Jia Li, Yu Rong, Hong Cheng, Helen Meng, Wen-bing Huang, Junzhou Huang |
| 2018 | ACSSC | Direct RF Signal Processing For Heart-Rate Monitoring Using UWB Impulse Radar. | Yu Rong, Daniel W. Bliss |
| 2018 | CVPR | Pose-Robust Face Recognition via Deep Residual Equivariant Mapping. | Kaidi Cao, Yu Rong, Cheng Li, Xiaoou Tang, Chen Change Loy |
| 2018 | DASFAA | Exploiting Ranking Consistency Principle in Representation Learning for Location Promotion. | Siyuan Zhang, Yu Rong, Yu Zheng, Hong Cheng, Junzhou Huang |
| 2018 | Interspeech | Cross-language Perception of Mandarin Lexical Tones by Mongolian-speaking Bilinguals in the Inner Mongolia Autonomous Region, China. | Kimiko Tsukada, Yu Rong |
| 2018 | KDD | TATC: Predicting Alzheimer's Disease with Actigraphy Data. | Jia Li, Yu Rong, Helen Meng, Zhihui Lu, Timothy C. Y. Kwok, Hong Cheng |
| 2017 | ACSSC | Multiple-antenna multiple-access joint radar and communications systems performance bounds. | Yu Rong, Alex R. Chiriyath, Daniel W. Bliss |
| 2017 | CIKM | Minimizing Dependence between Graphs. | Yu Rong, Hong Cheng |
| 2017 | IFSA | Associated multi-label fuzzy-rough feature selection. | Yanpeng Qu, Yu Rong, Ansheng Deng, Longzhi Yang |
| 2016 | ACSSC | Multiple source detection performance of linear sparse arrays. | Yu Rong, Daniel W. Bliss |
| 2016 | CIKM | A Model-Free Approach to Infer the Diffusion Network from Event Cascade. | Yu Rong, Qiankun Zhu, Hong Cheng |
| 2016 | ICONIP | Fuzzy String Matching Using Sentence Embedding Algorithms. | Yu Rong, Xiaolin Hu |
| 2016 | IDEAL | Multi-label Fuzzy Similarity-Based Nearest-Neighbour Classification Using Association Rule. | Yu Rong, Yanpeng Qu, Ansheng Deng |
| 2016 | PRICAI | Grouped Text Clustering Using Non-Parametric Gaussian Mixture Experts. | Yong Tian, Yu Rong, Yuan Yao, Weidong Liu, Jiaxing Song |
| 2015 | KDD | Why It Happened: Identifying and Modeling the Reasons of the Happening of Social Events. | Yu Rong, Hong Cheng, Zhiyu Mo |
| 2014 | ACSSC | Full-duplex self-interference mitigation performance in nonlinear channels. | Daniel W. Bliss, Yu Rong |
| 2014 | WWW | A Monte Carlo algorithm for cold start recommendation. | Yu Rong, Xiao Wen, Hong Cheng |
| 2013 | ACSSC | Effects of channel estimation errors on in-band full-duplex MIMO radios using adaptive transmit spatial mitigation. | Daniel W. Bliss, Yu Rong |