Ruiyi Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
91
Venues
30
Active years
2006–2026
Best venue rank
A*
Where they publish
- A*ACL13 papers
- A*EMNLP10 papers
- A*AAAI9 papers
- A*ICLR8 papers
- ANAACL6 papers
- A*ICML6 papers
- AAISTATS4 papers
- AEACL3 papers
- AWACV3 papers
- A*SP3 papers
- A*ICCV3 papers
- A*CVPR3 papers
- NationalRANLP2 papers
- AESORICS2 papers
- A*NDSS1 paper
- BPAKDD1 paper
- A*ASPLOS1 paper
- A*CCS1 paper
- BCOLING1 paper
- BDIMVA1 paper
- A*WWW1 paper
- ACIKM1 paper
- MulticonferenceICASSP1 paper
- A*ICDM1 paper
- BIJCNN1 paper
- A*SIGIR1 paper
- UnrankedSENSYS1 paper
- AUAI1 paper
- CSecureComm1 paper
- BWCNC1 paper
Papers
91 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | OIDA-QA: A Multimodal Benchmark for Analyzing the Opioid Industry Documents Archive. | Xuan Shen, Brian Wingenroth, Zichao Wang, Jason Kuen, Wanrong Zhu, Ruiyi Zhang, Yiwei Wang, Lichun Ma, Anqi Liu, Hongfu Liu, Tong Sun, Kevin S. Hawkins, Kate Tasker, G. Caleb Alexander, Jiuxiang Gu |
| 2026 | AAAI | VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use. | Zhehao Zhang, Ryan A. Rossi, Tong Yu, Franck Dernoncourt, Ruiyi Zhang, Jiuxiang Gu, Sungchul Kim, Xiang Chen, Zichao Wang, Nedim Lipka |
| 2026 | ACL | BioTool: A Comprehensive Tool-Calling Dataset for Enhancing Biomedical Capabilities of Large Language Models. | Xin Gao, Ruiyi Zhang, Meixi Du, Peijia Qin, Pengtao Xie |
| 2026 | ACL | Lizard: An Efficient Linearization Framework for Large Language Models. | Chien Van Nguyen, Huy Huu Nguyen, Ruiyi Zhang, Hanieh Deilamsalehy, Puneet Mathur, Viet Dac Lai, Haoliang Wang, Jayakumar Subramanian, Ryan A. Rossi, Trung Bui, Nikos Vlassis, Franck Dernoncourt, Thien Huu Nguyen |
| 2026 | ACL | SimpleOCR: Rendering Visual Questions to Teach MLLMs to Read. | Yibo Peng, Peng Xia, Ding Zhong, Kaide Zeng, Siwei Han, Yiyang Zhou, Jiaqi Liu, Ruiyi Zhang, Huaxiu Yao |
| 2026 | ACL | CachePrune: Teaching LLMs What Not to Follow via KV-Cache Editing. | Rui Wang, Junda Wu, Yu Xia, Tong Yu, Ruiyi Zhang, Ryan A. Rossi, Subrata Mitra, Lina Yao, Julian J. McAuley |
| 2026 | ACL | Unveiling Inherent Visual Grounding in Multimodal LLMs for Text-Rich Images. | Shijie Zhou, Jihyung Kil, Ming Li, Jiuxiang Gu, Curtis Wigington, Rajiv Jain, Changyou Chen, Ruiyi Zhang |
| 2026 | EACL | Decomposition-Enhanced Training for Post-Hoc Attributions in Language Models. | Sriram Balasubramanian, Samyadeep Basu, Koustava Goswami, Ryan Anthony Rossi, Varun Manjunatha, Roshan Santhosh, Ruiyi Zhang, Soheil Feizi, Nedim Lipka |
| 2026 | EACL | A Survey on LLM-based Conversational User Simulation. | Bo Ni, Yu Wang, Leyao Wang, Branislav Kveton, Franck Dernoncourt, Yu Xia, Hongjie Chen, Reuben Luera, Samyadeep Basu, Subhojyoti Mukherjee, Puneet Mathur, Nesreen K. Ahmed, Junda Wu, Li Li, Huixin Zhang, Ruiyi Zhang, Tong Yu, Sungchul Kim, Jiuxiang Gu, Zhengzhong Tu, Alexa F. Siu, Zichao Wang, Seunghyun Yoon, Nedim Lipka, Namyong Park, Zihao Lin, Trung Bui, Yue Zhao, Tyler Derr, Ryan A. Rossi |
| 2026 | NDSS | SNPeek: Side-Channel Analysis for Privacy Applications on Confidential VMs. | Ruiyi Zhang, Albert Cheu, Adri Gascn, Daniel Moghimi, Phillipp Schoppmann, Michael Schwarz, Octavian Suciu |
| 2026 | PAKDD | Federated Large Language Models: Current Progress and Future Directions. | Yuhang Yao, Jianyi Zhang, Junda Wu, Chengkai Huang, Yu Xia, Tong Yu, Ruiyi Zhang, Sungchul Kim, Ryan Rossi, Ang Li, Lina Yao, Julian J. McAuley, Yiran Chen, Carlee Joe-Wong |
| 2026 | WACV | Vision Language Models Learn to Assess Images with Specialists. | Quyet V. Do, Seunghyun Yoon, Ruiyi Zhang, Thiloshon Nagarajah, Trung Bui, Viet Dac Lai |
| 2026 | SP | TDXRay: Microarchitectural Side-Channel Analysis of Intel TDX for Real-World Workloads. | Tristan Hornetz, Hosein Yavarzadeh, Albert Cheu, Adri Gascn, Lukas Gerlach, Daniel Moghimi, Phillipp Schoppmann, Michael Schwarz, Ruiyi Zhang |
| 2026 | SP | Trevex: A Black-Box Detection Framework for Data-Flow Transient Execution Vulnerabilities. | Daniel Weber, Fabian Thomas, Leon Trampert, Ruiyi Zhang, Michael Schwarz |
| 2025 | AAAI | Numerical Pruning for Efficient Autoregressive Models. | Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Jing Liu, Ruiyi Zhang, Ryan A. Rossi, Hao Tan, Tong Yu, Xiang Chen, Yufan Zhou, Tong Sun, Pu Zhao, Yanzhi Wang, Jiuxiang Gu |
| 2025 | ACL | GUI Agents: A Survey. | Dang Nguyen, Jian Chen, Yu Wang, Gang Wu, Namyong Park, Zhengmian Hu, Hanjia Lyu, Junda Wu, Ryan Aponte, Yu Xia, Xintong Li, Jing Shi, Hongjie Chen, Viet Dac Lai, Zhouhang Xie, Sungchul Kim, Ruiyi Zhang, Tong Yu, Md. Mehrab Tanjim, Nesreen K. Ahmed, Puneet Mathur, Seunghyun Yoon, Lina Yao, Branislav Kveton, Jihyung Kil, Thien Huu Nguyen, Trung Bui, Tianyi Zhou, Ryan A. Rossi, Franck Dernoncourt |
| 2025 | ACL | Doc-React: Multi-page Heterogeneous Document Question-answering. | Junda Wu, Yu Xia, Tong Yu, Xiang Chen, Sai Sree Harsha, Akash V. Maharaj, Ruiyi Zhang, Victor S. Bursztyn, Sungchul Kim, Ryan A. Rossi, Julian J. McAuley, Yunyao Li, Ritwik Sinha |
| 2025 | ACL | From Selection to Generation: A Survey of LLM-based Active Learning. | Yu Xia, Subhojyoti Mukherjee, Zhouhang Xie, Junda Wu, Xintong Li, Ryan Aponte, Hanjia Lyu, Joe Barrow, Hongjie Chen, Franck Dernoncourt, Branislav Kveton, Tong Yu, Ruiyi Zhang, Jiuxiang Gu, Nesreen K. Ahmed, Yu Wang, Xiang Chen, Hanieh Deilamsalehy, Sungchul Kim, Zhengmian Hu, Yue Zhao, Nedim Lipka, Seunghyun Yoon, Ting-Hao 'Kenneth' Huang, Zichao Wang, Puneet Mathur, Soumyabrata Pal, Koyel Mukherjee, Zhehao Zhang, Namyong Park, Thien Huu Nguyen, Jiebo Luo, Ryan A. Rossi, Julian J. McAuley |
| 2025 | ASPLOS | ShadowLoad: Injecting State into Hardware Prefetchers. | Lorenz Hetterich, Fabian Thomas, Lukas Gerlach, Ruiyi Zhang, Nils Bernsdorf, Eduard Ebert, Michael Schwarz |
| 2025 | CCS | RISCover: Automatic Discovery of User-exploitable Architectural Security Vulnerabilities in Closed-Source RISC-V CPUs. | Fabian Thomas, Eric Garca Arribas, Lorenz Hetterich, Daniel Weber, Lukas Gerlach, Ruiyi Zhang, Michael Schwarz |
| 2025 | COLING | A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction Generation. | Shijie Zhou, Ruiyi Zhang, Yufan Zhou, Changyou Chen |
| 2025 | DIMVA | Taming the Linux Memory Allocator for Rapid Prototyping. | Ruiyi Zhang, Tristan Hornetz, Lukas Gerlach, Michael Schwarz |
| 2025 | EMNLP | GUI-Bee: Align GUI Action Grounding to Novel Environments via Autonomous Exploration. | Yue Fan, Handong Zhao, Ruiyi Zhang, Yu Shen, Xin Eric Wang, Gang Wu |
| 2025 | EMNLP | Can Prompts Rewind Time for LLMs? Evaluating the Effectiveness of Prompted Knowledge Cutoffs. | Xin Gao, Ruiyi Zhang, Daniel Du, Saurabh Mahindre, Sai Ashish Somayajula, Pengtao Xie |
| 2025 | ICCV | A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality. | Mohamed Elmoghany, Ryan A. Rossi, Seunghyun Yoon, Subhojyoti Mukherjee, Eslam Mohamed Bakr, Puneet Mathur, Gang Wu, Viet Dac Lai, Nedim Lipka, Ruiyi Zhang, Varun Manjunatha, Chien Nguyen, Daksh Dangi, Abel Salinas, Hongjie Chen, Xiaolei Huang, Joe Barrow, Nesreen K. Ahmed, Hoda Eldardiry, Namyong Park, Yu Wang, Zhengzhong Tu, Thien Huu Nguyen, Dinesh Manocha, Mohamed Elhoseiny, Franck Dernoncourt |
| 2025 | ICCV | Multimodal LLMs as Customized Reward Models for Text-to-Image Generation. | Shijie Zhou, Ruiyi Zhang, Huaisheng Zhu, Branislav Kveton, Yufan Zhou, Jiuxiang Gu, Jian Chen, Changyou Chen |
| 2025 | ICLR | SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding. | Jian Chen, Ruiyi Zhang, Yufan Zhou, Tong Yu, Franck Dernoncourt, Jiuxiang Gu, Ryan A. Rossi, Changyou Chen, Tong Sun |
| 2025 | NAACL | Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes. | Isabel O. Gallegos, Ryan Aponte, Ryan A. Rossi, Joe Barrow, Md. Mehrab Tanjim, Tong Yu, Hanieh Deilamsalehy, Ruiyi Zhang, Sungchul Kim, Franck Dernoncourt, Nedim Lipka, Deonna M. Owens, Jiuxiang Gu |
| 2025 | NAACL | Defense against Prompt Injection Attacks via Mixture of Encodings. | Ruiyi Zhang, David Sullivan, Kyle Jackson, Pengtao Xie, Mei Chen |
| 2025 | RANLP | A Survey on Small Language Models. | Chien Van Nguyen, Xuan Shen, Ryan Aponte, Yu Xia, Samyadeep Basu, Zhengmian Hu, Jian Chen, Mihir Parmar, Sasidhar Kunapuli, Joe Barrow, Junda Wu, Ashish Singh, Yu Wang, Jiuxiang Gu, Nesreen K. Ahmed, Nedim Lipka, Ruiyi Zhang, Xiang Chen, Tong Yu, Sungchul Kim, Hanieh Deilamsalehy, Namyong Park, Michael Rimer, Zhehao Zhang, Huanrui Yang, Puneet Mathur, Gang Wu, Franck Dernoncourt, Ryan A. Rossi, Thien Huu Nguyen |
| 2025 | RANLP | Multi-LLM Debiasing Framework. | Deonna M. Owens, Ryan A. Rossi, Sungchul Kim, Tong Yu, Franck Dernoncourt, Xiang Chen, Ruiyi Zhang, Jiuxiang Gu, Hanieh Deilamsalehy, Nedim Lipka |
| 2025 | WWW | Personalizing Data Delivery: Investigating User Characteristics and Enhancing LLM Predictions. | Reuben Luera, Ryan A. Rossi, Franck Dernoncourt, Alexa F. Siu, Sungchul Kim, Tong Yu, Ruiyi Zhang, Xiang Chen, Nedim Lipka, Zhehao Zhang, Seon Gyeom Kim, Tak Yeon Lee |
| 2025 | WACV | ARTIST: Improving the Generation of Text-Rich Images with Disentangled Diffusion Models and Large Language Models. | Jianyi Zhang, Yufan Zhou, Jiuxiang Gu, Curtis Wigington, Tong Yu, Yiran Chen, Tong Sun, Ruiyi Zhang |
| 2024 | AAAI | Knowledge Graph Prompting for Multi-Document Question Answering. | Yu Wang, Nedim Lipka, Ryan A. Rossi, Alexa F. Siu, Ruiyi Zhang, Tyler Derr |
| 2024 | CIKM | Topology-aware Retrieval Augmentation for Text Generation. | Yu Wang, Nedim Lipka, Ruiyi Zhang, Alexa F. Siu, Yuying Zhao, Bo Ni, Xin Wang, Ryan A. Rossi, Tyler Derr |
| 2024 | CVPR | TRINS: Towards Multimodal Language Models that Can Read. | Ruiyi Zhang, Yanzhe Zhang, Jian Chen, Yufan Zhou, Jiuxiang Gu, Changyou Chen, Tong Sun |
| 2024 | CVPR | Customization Assistant for Text-to-image Generation. | Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Tong Sun |
| 2024 | EACL | Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt Tuning. | Kaige Xie, Tong Yu, Haoliang Wang, Junda Wu, Handong Zhao, Ruiyi Zhang, Kanak Mahadik, Ani Nenkova, Mark O. Riedl |
| 2024 | EMNLP | TextLap: Customizing Language Models for Text-to-Layout Planning. | Jian Chen, Ruiyi Zhang, Yufan Zhou, Jennifer Healey, Jiuxiang Gu, Zhiqiang Xu, Changyou Chen |
| 2024 | ICASSP | Towards Building The Federatedgpt: Federated Instruction Tuning. | Jianyi Zhang, Saeed Vahidian, Martin Kuo, Chunyuan Li, Ruiyi Zhang, Tong Yu, Guoyin Wang, Yiran Chen |
| 2024 | ICLR | SOHES: Self-supervised Open-world Hierarchical Entity Segmentation. | Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong Zhao, Ani Nenkova, Liangyan Gui, Tong Sun, Yu-Xiong Wang |
| 2024 | ICLR | Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints. | Jian Chen, Ruiyi Zhang, Yufan Zhou, Changyou Chen |
| 2024 | ICLR | ADOPD: A Large-Scale Document Page Decomposition Dataset. | Jiuxiang Gu, Xiangxi Shi, Jason Kuen, Lu Qi, Ruiyi Zhang, Anqi Liu, Ani Nenkova, Tong Sun |
| 2024 | ICML | BLO-SAM: Bi-level Optimization Based Finetuning of the Segment Anything Model for Overfitting-Preventing Semantic Segmentation. | Li Zhang, Youwei Liang, Ruiyi Zhang, Amirhosein Javadi, Pengtao Xie |
| 2024 | NAACL | Self-Cleaning: Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances. | Zhendong Chu, Ruiyi Zhang, Tong Yu, Rajiv Jain, Vlad I. Morariu, Jiuxiang Gu, Ani Nenkova |
| 2024 | NAACL | Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning. | Rui Wang, Tong Yu, Ruiyi Zhang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Junda Wu, Subrata Mitra, Lina Yao, Ricardo Henao |
| 2024 | NAACL | AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning. | Ruiyi Zhang, Rushi Qiang, Sai Ashish Somayajula, Pengtao Xie |
| 2023 | AAAI | Few-Shot Composition Learning for Image Retrieval with Prompt Tuning. | Junda Wu, Rui Wang, Handong Zhao, Ruiyi Zhang, Chaochao Lu, Shuai Li, Ricardo Henao |
| 2023 | ACL | Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets. | Rui Wang, Tong Yu, Junda Wu, Handong Zhao, Sungchul Kim, Ruiyi Zhang, Subrata Mitra, Ricardo Henao |
| 2023 | ACL | Understanding Demonstration-based Learning from a Causal Perspective. | Ruiyi Zhang, Tong Yu |
| 2023 | EMNLP | A Critical Analysis of Document Out-of-Distribution Detection. | Jiuxiang Gu, Yifei Ming, Yi Zhou, Jason Kuen, Vlad I. Morariu, Handong Zhao, Ruiyi Zhang, Nikolaos Barmpalios, Anqi Liu, Yixuan Li, Tong Sun, Ani Nenkova |
| 2023 | ESORICS | Indirect Meltdown: Building Novel Side-Channel Attacks from Transient-Execution Attacks. | Daniel Weber, Fabian Thomas, Lukas Gerlach, Ruiyi Zhang, Michael Schwarz |
| 2023 | ESORICS | Reviving Meltdown 3a. | Daniel Weber, Fabian Thomas, Lukas Gerlach, Ruiyi Zhang, Michael Schwarz |
| 2023 | ICCV | Learning Navigational Visual Representations with Semantic Map Supervision. | Yicong Hong, Yang Zhou, Ruiyi Zhang, Franck Dernoncourt, Trung Bui, Stephen Gould, Hao Tan |
| 2023 | SP | A Security RISC: Microarchitectural Attacks on Hardware RISC-V CPUs. | Lukas Gerlach, Daniel Weber, Ruiyi Zhang, Michael Schwarz |
| 2022 | AAAI | Text-Based Interactive Recommendation via Offline Reinforcement Learning. | Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin |
| 2022 | AAAI | TiGAN: Text-Based Interactive Image Generation and Manipulation. | Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Chris Tensmeyer, Tong Yu, Changyou Chen, Jinhui Xu, Tong Sun |
| 2022 | ACL | Few-Shot Class-Incremental Learning for Named Entity Recognition. | Rui Wang, Tong Yu, Handong Zhao, Sungchul Kim, Subrata Mitra, Ruiyi Zhang, Ricardo Henao |
| 2022 | ACL | Learning Adaptive Axis Attentions in Fine-tuning: Beyond Fixed Sparse Attention Patterns. | Zihan Wang, Jiuxiang Gu, Jason Kuen, Handong Zhao, Vlad I. Morariu, Ruiyi Zhang, Ani Nenkova, Tong Sun, Jingbo Shang |
| 2022 | CVPR | Towards Language-Free Training for Text-to-Image Generation. | Yufan Zhou, Ruiyi Zhang, Changyou Chen, Chunyuan Li, Chris Tensmeyer, Tong Yu, Jiuxiang Gu, Jinhui Xu, Tong Sun |
| 2022 | EMNLP | Robustness of Demonstration-based Learning Under Limited Data Scenario. | Hongxin Zhang, Yanzhe Zhang, Ruiyi Zhang, Diyi Yang |
| 2022 | EMNLP | Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling. | Junda Wu, Rui Wang, Tong Yu, Ruiyi Zhang, Handong Zhao, Shuai Li, Ricardo Henao, Ani Nenkova |
| 2022 | ICDM | STT: Soft Template Tuning for Few-Shot Adaptation. | Ping Yu, Wei Wang, Chunyuan Li, Ruiyi Zhang, Zhanpeng Jin, Changyou Chen |
| 2022 | IJCNN | Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information. | Shijing Si, Jianzong Wang, Ruiyi Zhang, Qinliang Su, Jing Xiao |
| 2022 | SIGIR | Dynamics-Aware Adaptation for Reinforcement Learning Based Cross-Domain Interactive Recommendation. | Junda Wu, Zhihui Xie, Tong Yu, Handong Zhao, Ruiyi Zhang, Shuai Li |
| 2022 | SENSYS | CIPhy: Causal Intervention with Physical Confounder from IoT Sensor Data for Robust Occupant Information Inference. | Zhizhang Hu, Tong Yu, Ruiyi Zhang, Shijia Pan |
| 2021 | AAAI | Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes. | Xinyuan Zhang, Ruiyi Zhang, Manzil Zaheer, Amr Ahmed |
| 2021 | EMNLP | Graphine: A Dataset for Graph-aware Terminology Definition Generation. | Zequn Liu, Shukai Wang, Yiyang Gu, Ruiyi Zhang, Ming Zhang, Sheng Wang |
| 2021 | ICLR | Improving Zero-Shot Voice Style Transfer via Disentangled Representation Learning. | Siyang Yuan, Pengyu Cheng, Ruiyi Zhang, Weituo Hao, Zhe Gan, Lawrence Carin |
| 2020 | AAAI | Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions. | Zhenyi Wang, Ping Yu, Yang Zhao, Ruiyi Zhang, Yufan Zhou, Junsong Yuan, Changyou Chen |
| 2020 | ACL | Improving Adversarial Text Generation by Modeling the Distant Future. | Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin |
| 2020 | AISTATS | Nested-Wasserstein Self-Imitation Learning for Sequence Generation. | Ruiyi Zhang, Changyou Chen, Zhe Gan, Zheng Wen, Wenlin Wang, Lawrence Carin |
| 2020 | AISTATS | Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory. | Jianyi Zhang, Ruiyi Zhang, Lawrence Carin, Changyou Chen |
| 2020 | EMNLP | Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference. | Bang An, Jie Lyu, Zhenyi Wang, Chunyuan Li, Changwei Hu, Fei Tan, Ruiyi Zhang, Yifan Hu, Changyou Chen |
| 2020 | EMNLP | Improving Text Generation with Student-Forcing Optimal Transport. | Jianqiao Li, Chunyuan Li, Guoyin Wang, Hao Fu, Yuh-Chen Lin, Liqun Chen, Yizhe Zhang, Chenyang Tao, Ruiyi Zhang, Wenlin Wang, Dinghan Shen, Qian Yang, Lawrence Carin |
| 2020 | EMNLP | Semantic Matching via Optimal Partial Transport. | Ruiyi Zhang, Changyou Chen, Xinyuan Zhang, Ke Bai, Lawrence Carin |
| 2020 | ICLR | Bayesian Meta Sampling for Fast Uncertainty Adaptation. | Zhenyi Wang, Yang Zhao, Ping Yu, Ruiyi Zhang, Changyou Chen |
| 2020 | ICLR | GenDICE: Generalized Offline Estimation of Stationary Values. | Ruiyi Zhang, Bo Dai, Lihong Li, Dale Schuurmans |
| 2020 | ICML | Graphical Models Meet Bandits: A Variational Thompson Sampling Approach. | Tong Yu, Branislav Kveton, Zheng Wen, Ruiyi Zhang, Ole J. Mengshoel |
| 2020 | WACV | Figure Captioning with Relation Maps for Reasoning. | Charles Chen, Ruiyi Zhang, Eunyee Koh, Sungchul Kim, Scott Cohen, Ryan A. Rossi |
| 2019 | AISTATS | Scalable Thompson Sampling via Optimal Transport. | Ruiyi Zhang, Zheng Wen, Changyou Chen, Chen Fang, Tong Yu, Lawrence Carin |
| 2019 | ICLR | Improving Sequence-to-Sequence Learning via Optimal Transport. | Liqun Chen, Yizhe Zhang, Ruiyi Zhang, Chenyang Tao, Zhe Gan, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin |
| 2019 | ICML | Understanding and Accelerating Particle-Based Variational Inference. | Chang Liu, Jingwei Zhuo, Pengyu Cheng, Ruiyi Zhang, Jun Zhu |
| 2019 | ICML | Variational Annealing of GANs: A Langevin Perspective. | Chenyang Tao, Shuyang Dai, Liqun Chen, Ke Bai, Junya Chen, Chang Liu, Ruiyi Zhang, Georgiy V. Bobashev, Lawrence Carin |
| 2019 | NAACL | Topic-Guided Variational Auto-Encoder for Text Generation. | Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, Lawrence Carin |
| 2018 | AISTATS | Learning Structural Weight Uncertainty for Sequential Decision-Making. | Ruiyi Zhang, Chunyuan Li, Changyou Chen, Lawrence Carin |
| 2018 | ICML | Variational Inference and Model Selection with Generalized Evidence Bounds. | Liqun Chen, Chenyang Tao, Ruiyi Zhang, Ricardo Henao, Lawrence Carin |
| 2018 | ICML | Policy Optimization as Wasserstein Gradient Flows. | Ruiyi Zhang, Changyou Chen, Chunyuan Li, Lawrence Carin |
| 2018 | UAI | A Unified Particle-Optimization Framework for Scalable Bayesian Sampling. | Changyou Chen, Ruiyi Zhang, Wenlin Wang, Bai Li, Liqun Chen |
| 2007 | SecureComm | Deception framework for sensor networks. | Ruiyi Zhang, Johnson P. Thomas, Venkata Manoj Mulpuru |
| 2006 | WCNC | Sector-based routing for secure energy efficient communications. | Sudheer K. Chimbli, Johnson P. Thomas, Venkatesh Sarangan, Ruiyi Zhang |