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Books and Theses
- 2021
[b1]Ruiyi Zhang:
Towards Uncertainty and Efficiency in Reinforcement Learning. Duke University, Durham, NC, USA, 2021
Journal Articles
- 2023
- [j5]Siqing Fu
, Tiejun Li, Chunyuan Zhang, Hanqing Li, Sheng Ma, Jianmin Zhang, Ruiyi Zhang, Lizhou Wu:
RHS-TRNG: A Resilient High-Speed True Random Number Generator Based on STT-MTJ Device. IEEE Trans. Very Large Scale Integr. Syst. 31(10): 1578-1591 (2023) - 2022
- [j4]Ruiyi Zhang, Yunan Luo, Jianzhu Ma, Ming Zhang, Sheng Wang:
scPretrain: multi-task self-supervised learning for cell-type classification. Bioinform. 38(6): 1607-1614 (2022) - [j3]Rui Wang, Ruiyi Zhang, Ricardo Henao:
Wasserstein Uncertainty Estimation for Adversarial Domain Matching. Frontiers Big Data 5: 878716 (2022) - [j2]Qingxian An, Ruiyi Zhang, Yongchang Shen:
Performance measurement of decision making units through interval efficiency with slacks-based measure: an application to tourist hotels in Taipei. J. Intell. Fuzzy Syst. 42(3): 1925-1936 (2022) - 2021
- [j1]Ruiyi Zhang, Anuj Srivastava:
Elastic Shape Analysis of Planar Objects Using Tensor Field Representations. J. Math. Imaging Vis. 63(9): 1204-1221 (2021)
Conference and Workshop Papers
- 2024
- [c72]Yu Wang, Nedim Lipka, Ryan A. Rossi, Alexa F. Siu, Ruiyi Zhang, Tyler Derr:
Knowledge Graph Prompting for Multi-Document Question Answering. AAAI 2024: 19206-19214 - [c71]Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Tong Sun:
Customization Assistant for Text-to-image Generation. CVPR 2024: 9182-9191 - [c70]Ruiyi Zhang, Yanzhe Zhang, Jian Chen, Yufan Zhou, Jiuxiang Gu, Changyou Chen, Tong Sun:
TRINS: Towards Multimodal Language Models that Can Read. CVPR 2024: 22584-22594 - [c69]Kaige Xie, Tong Yu, Haoliang Wang, Junda Wu, Handong Zhao, Ruiyi Zhang, Kanak Mahadik, Ani Nenkova, Mark O. Riedl:
Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt Tuning. EACL (1) 2024: 2408-2421 - [c68]Jianyi Zhang, Saeed Vahidian, Martin Kuo, Chunyuan Li, Ruiyi Zhang, Tong Yu, Guoyin Wang, Yiran Chen:
Towards Building The Federatedgpt: Federated Instruction Tuning. ICASSP 2024: 6915-6919 - [c67]Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong Zhao, Ani Nenkova, Liangyan Gui, Tong Sun, Yu-Xiong Wang:
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation. ICLR 2024 - [c66]Jian Chen, Ruiyi Zhang, Yufan Zhou, Changyou Chen:
Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints. ICLR 2024 - [c65]Jiuxiang Gu, Xiangxi Shi, Jason Kuen, Lu Qi, Ruiyi Zhang, Anqi Liu, Ani Nenkova, Tong Sun:
ADOPD: A Large-Scale Document Page Decomposition Dataset. ICLR 2024 - [c64]Li Zhang, Youwei Liang, Ruiyi Zhang, Amirhosein Javadi, Pengtao Xie:
BLO-SAM: Bi-level Optimization Based Finetuning of the Segment Anything Model for Overfitting-Preventing Semantic Segmentation. ICML 2024 - [c63]Zhendong Chu, Ruiyi Zhang, Tong Yu, Rajiv Jain, Vlad I. Morariu, Jiuxiang Gu, Ani Nenkova:
Self-Cleaning: Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances. NAACL-HLT (Findings) 2024: 196-210 - [c62]Rui Wang, Tong Yu, Ruiyi Zhang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Junda Wu, Subrata Mitra, Lina Yao, Ricardo Henao:
Personalized Federated Learning for Text Classification with Gradient-Free Prompt Tuning. NAACL-HLT (Findings) 2024: 4597-4612 - [c61]Ruiyi Zhang, Rushi Qiang, Sai Ashish Somayajula, Pengtao Xie:
AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning. NAACL-HLT 2024: 5048-5060 - [c60]Ruiyi Zhang, Lukas Gerlach, Daniel Weber, Lorenz Hetterich, Youheng Lü, Andreas Kogler, Michael Schwarz:
CacheWarp: Software-based Fault Injection using Selective State Reset. USENIX Security Symposium 2024 - 2023
- [c59]Junda Wu, Rui Wang, Handong Zhao, Ruiyi Zhang, Chaochao Lu, Shuai Li, Ricardo Henao:
Few-Shot Composition Learning for Image Retrieval with Prompt Tuning. AAAI 2023: 4729-4737 - [c58]Ruiyi Zhang, Tong Yu:
Understanding Demonstration-based Learning from a Causal Perspective. ACL (2) 2023: 1465-1475 - [c57]Rui Wang, Tong Yu, Junda Wu, Handong Zhao, Sungchul Kim, Ruiyi Zhang, Subrata Mitra, Ricardo Henao:
Federated Domain Adaptation for Named Entity Recognition via Distilling with Heterogeneous Tag Sets. ACL (Findings) 2023: 7449-7463 - [c56]Ruiyi Zhang, Song Yuan:
Research and Application of Blind Watermark Based on DCT. BigDataSecurity/HPSC/IDS 2023: 60-65 - [c55]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:
A Critical Analysis of Document Out-of-Distribution Detection. EMNLP (Findings) 2023: 4973-4999 - [c54]Daniel Weber, Fabian Thomas, Lukas Gerlach, Ruiyi Zhang, Michael Schwarz:
Indirect Meltdown: Building Novel Side-Channel Attacks from Transient-Execution Attacks. ESORICS (3) 2023: 22-42 - [c53]Daniel Weber, Fabian Thomas, Lukas Gerlach, Ruiyi Zhang, Michael Schwarz:
Reviving Meltdown 3a. ESORICS (3) 2023: 80-99 - [c52]Ruiyi Zhang, Jinchi Wei, Dnyanesh Tipre, Robert G. Weiss, Laurent Younes, Siamak Ardekani:
Cardiac MRI Tagline Extraction Based on Diffeomorphic Active Contour Algorithm. FIMH 2023: 320-328 - [c51]Yicong Hong, Yang Zhou, Ruiyi Zhang, Franck Dernoncourt, Trung Bui, Stephen Gould, Hao Tan:
Learning Navigational Visual Representations with Semantic Map Supervision. ICCV 2023: 3032-3044 - [c50]Ruiyi Zhang, Ruizhuo Zhao, Feiya Suo:
Forecast of International Tourist Arrivals Based on ARIMA Model. ICISCAE 2023: 492-496 - [c49]Jian Chen, Ruiyi Zhang, Tong Yu, Rohan Sharma, Zhiqiang Xu, Tong Sun, Changyou Chen:
Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels. NeurIPS 2023 - [c48]Junda Wu, Tong Yu, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao:
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding. NeurIPS 2023 - [c47]Lukas Gerlach, Daniel Weber, Ruiyi Zhang, Michael Schwarz:
A Security RISC: Microarchitectural Attacks on Hardware RISC-V CPUs. SP 2023: 2321-2338 - [c46]Ruiyi Zhang, Taehyun Kim, Daniel Weber, Michael Schwarz:
(M)WAIT for It: Bridging the Gap between Microarchitectural and Architectural Side Channels. USENIX Security Symposium 2023: 7267-7284 - 2022
- [c45]Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Chris Tensmeyer, Tong Yu, Changyou Chen, Jinhui Xu, Tong Sun:
TiGAN: Text-Based Interactive Image Generation and Manipulation. AAAI 2022: 3580-3588 - [c44]Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin:
Text-Based Interactive Recommendation via Offline Reinforcement Learning. AAAI 2022: 11694-11702 - [c43]Rui Wang, Tong Yu, Handong Zhao, Sungchul Kim, Subrata Mitra, Ruiyi Zhang, Ricardo Henao:
Few-Shot Class-Incremental Learning for Named Entity Recognition. ACL (1) 2022: 571-582 - [c42]Zihan Wang, Jiuxiang Gu, Jason Kuen, Handong Zhao, Vlad I. Morariu, Ruiyi Zhang, Ani Nenkova, Tong Sun, Jingbo Shang:
Learning Adaptive Axis Attentions in Fine-tuning: Beyond Fixed Sparse Attention Patterns. ACL (Findings) 2022: 916-925 - [c41]Yufan Zhou, Ruiyi Zhang, Changyou Chen, Chunyuan Li, Chris Tensmeyer, Tong Yu, Jiuxiang Gu, Jinhui Xu, Tong Sun:
Towards Language-Free Training for Text-to-Image Generation. CVPR 2022: 17886-17896 - [c40]Hongxin Zhang, Yanzhe Zhang, Ruiyi Zhang, Diyi Yang:
Robustness of Demonstration-based Learning Under Limited Data Scenario. EMNLP 2022: 1769-1782 - [c39]Junda Wu, Rui Wang, Tong Yu, Ruiyi Zhang, Handong Zhao, Shuai Li, Ricardo Henao, Ani Nenkova:
Context-aware Information-theoretic Causal De-biasing for Interactive Sequence Labeling. EMNLP (Findings) 2022: 3436-3448 - [c38]Ping Yu, Wei Wang, Chunyuan Li, Ruiyi Zhang, Zhanpeng Jin, Changyou Chen:
STT: Soft Template Tuning for Few-Shot Adaptation. ICDM (Workshops) 2022: 941-946 - [c37]Shijing Si, Jianzong Wang, Ruiyi Zhang, Qinliang Su, Jing Xiao:
Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information. IJCNN 2022: 1-7 - [c36]Zhizhang Hu, Tong Yu, Ruiyi Zhang, Shijia Pan:
CIPhy: Causal Intervention with Physical Confounder from IoT Sensor Data for Robust Occupant Information Inference. SenSys 2022: 966-972 - [c35]Junda Wu, Zhihui Xie, Tong Yu, Handong Zhao, Ruiyi Zhang, Shuai Li:
Dynamics-Aware Adaptation for Reinforcement Learning Based Cross-Domain Interactive Recommendation. SIGIR 2022: 290-300 - 2021
- [c34]Xinyuan Zhang, Ruiyi Zhang, Manzil Zaheer, Amr Ahmed:
Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes. AAAI 2021: 14489-14497 - [c33]Zequn Liu, Shukai Wang, Yiyang Gu, Ruiyi Zhang, Ming Zhang, Sheng Wang:
Graphine: A Dataset for Graph-aware Terminology Definition Generation. EMNLP (1) 2021: 3453-3463 - [c32]Siyang Yuan, Pengyu Cheng, Ruiyi Zhang, Weituo Hao, Zhe Gan, Lawrence Carin:
Improving Zero-Shot Voice Style Transfer via Disentangled Representation Learning. ICLR 2021 - [c31]Ningyu He, Ruiyi Zhang, Haoyu Wang, Lei Wu, Xiapu Luo, Yao Guo, Ting Yu, Xuxian Jiang:
EOSAFE: Security Analysis of EOSIO Smart Contracts. USENIX Security Symposium 2021: 1271-1288 - 2020
- [c30]Zhenyi Wang, Ping Yu, Yang Zhao, Ruiyi Zhang, Yufan Zhou, Junsong Yuan, Changyou Chen:
Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions. AAAI 2020: 12281-12288 - [c29]Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin:
Improving Adversarial Text Generation by Modeling the Distant Future. ACL 2020: 2516-2531 - [c28]Ruiyi Zhang, Changyou Chen, Zhe Gan, Zheng Wen, Wenlin Wang, Lawrence Carin:
Nested-Wasserstein Self-Imitation Learning for Sequence Generation. AISTATS 2020: 422-433 - [c27]Jianyi Zhang, Ruiyi Zhang, Lawrence Carin, Changyou Chen:
Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory. AISTATS 2020: 1877-1887 - [c26]Ruiyi Zhang, Changyou Chen, Xinyuan Zhang, Ke Bai, Lawrence Carin:
Semantic Matching via Optimal Partial Transport. EMNLP (Findings) 2020: 212-222 - [c25]Bang An, Jie Lyu, Zhenyi Wang, Chunyuan Li, Changwei Hu, Fei Tan, Ruiyi Zhang, Yifan Hu, Changyou Chen:
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference. EMNLP (1) 2020: 236-255 - [c24]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:
Improving Text Generation with Student-Forcing Optimal Transport. EMNLP (1) 2020: 9144-9156 - [c23]Zhenyi Wang, Yang Zhao, Ping Yu, Ruiyi Zhang, Changyou Chen:
Bayesian Meta Sampling for Fast Uncertainty Adaptation. ICLR 2020 - [c22]Ruiyi Zhang, Bo Dai, Lihong Li, Dale Schuurmans:
GenDICE: Generalized Offline Estimation of Stationary Values. ICLR 2020 - [c21]Tong Yu, Branislav Kveton, Zheng Wen, Ruiyi Zhang, Ole J. Mengshoel:
Graphical Models Meet Bandits: A Variational Thompson Sampling Approach. ICML 2020: 10902-10912 - [c20]Charles Chen, Ruiyi Zhang, Eunyee Koh, Sungchul Kim, Scott Cohen, Ryan A. Rossi:
Figure Captioning with Relation Maps for Reasoning. WACV 2020: 1526-1534 - 2019
- [c19]Ruiyi Zhang, Zheng Wen, Changyou Chen, Chen Fang, Tong Yu, Lawrence Carin:
Scalable Thompson Sampling via Optimal Transport. AISTATS 2019: 87-96 - [c18]Qingqing Shang, Fangfang Liu, Chunyan Feng, Ruiyi Zhang, Shulun Zhao:
A BP Neural Network Based Punctured Scheduling Scheme Within Mini-slots for Joint URLLC and eMBB Traffic. GlobalSIP 2019: 1-5 - [c17]Charles Chen, Ruiyi Zhang, Sungchul Kim, Scott Cohen, Tong Yu, Ryan A. Rossi, Razvan C. Bunescu:
Neural caption generation over figures. UbiComp/ISWC Adjunct 2019: 482-485 - [c16]Liqun Chen, Yizhe Zhang, Ruiyi Zhang, Chenyang Tao, Zhe Gan, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin:
Improving Sequence-to-Sequence Learning via Optimal Transport. ICLR (Poster) 2019 - [c15]Chang Liu, Jingwei Zhuo, Pengyu Cheng, Ruiyi Zhang, Jun Zhu:
Understanding and Accelerating Particle-Based Variational Inference. ICML 2019: 4082-4092 - [c14]Chenyang Tao, Shuyang Dai, Liqun Chen, Ke Bai, Junya Chen, Chang Liu, Ruiyi Zhang, Georgiy V. Bobashev, Lawrence Carin:
Variational Annealing of GANs: A Langevin Perspective. ICML 2019: 6176-6185 - [c13]Ruiyi Zhang, Fangfang Liu, Zhimin Zeng, Qingqing Shang, Shulun Zhao:
Neural Network Based Successive Cancellation Decoding Algorithm for Polar Codes in URLLC. ISWCS 2019: 182-187 - [c12]Tong Yu, Yilin Shen, Ruiyi Zhang, Xiangyu Zeng, Hongxia Jin:
Vision-Language Recommendation via Attribute Augmented Multimodal Reinforcement Learning. ACM Multimedia 2019: 39-47 - [c11]Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, Lawrence Carin:
Topic-Guided Variational Auto-Encoder for Text Generation. NAACL-HLT (1) 2019: 166-177 - [c10]Wenlin Wang, Chenyang Tao, Zhe Gan, Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin:
Improving Textual Network Learning with Variational Homophilic Embeddings. NeurIPS 2019: 2074-2085 - [c9]Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin, Changyou Chen:
Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning. NeurIPS 2019: 15188-15198 - 2018
- [c8]Ruiyi Zhang, Chunyuan Li, Changyou Chen, Lawrence Carin:
Learning Structural Weight Uncertainty for Sequential Decision-Making. AISTATS 2018: 1137-1146 - [c7]Liqun Chen, Chenyang Tao, Ruiyi Zhang, Ricardo Henao, Lawrence Carin:
Variational Inference and Model Selection with Generalized Evidence Bounds. ICML 2018: 892-901 - [c6]Ruiyi Zhang, Changyou Chen, Chunyuan Li, Lawrence Carin:
Policy Optimization as Wasserstein Gradient Flows. ICML 2018: 5741-5750 - [c5]Liqun Chen, Shuyang Dai, Chenyang Tao, Haichao Zhang, Zhe Gan, Dinghan Shen, Yizhe Zhang, Guoyin Wang, Ruiyi Zhang, Lawrence Carin:
Adversarial Text Generation via Feature-Mover's Distance. NeurIPS 2018: 4671-4682 - [c4]Changyou Chen, Ruiyi Zhang, Wenlin Wang, Bai Li, Liqun Chen:
A Unified Particle-Optimization Framework for Scalable Bayesian Sampling. UAI 2018: 746-755 - 2010
- [c3]Ruiyi Zhang, Johnson P. Thomas, Qiurui Zhu, Mathews Thomas:
Manipulation as a Security Mechanism in Sensor Networks. SBP 2010: 290-297 - 2007
- [c2]Ruiyi Zhang, Johnson P. Thomas, Venkata Manoj Mulpuru:
Deception framework for sensor networks. SecureComm 2007: 361-369 - 2006
- [c1]Sudheer K. Chimbli, Johnson P. Thomas, Venkatesh Sarangan, Ruiyi Zhang:
Sector-based routing for secure energy efficient communications. WCNC 2006: 457-462
Informal and Other Publications
- 2024
- [i70]Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, Md. Mehrab Tanjim, Tong Yu, Hanieh Deilamsalehy, Ruiyi Zhang, Sungchul Kim, Franck Dernoncourt:
Self-Debiasing Large Language Models: Zero-Shot Recognition and Reduction of Stereotypes. CoRR abs/2402.01981 (2024) - [i69]Jian Chen, Ruiyi Zhang, Yufan Zhou, Changyou Chen:
Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints. CoRR abs/2402.04754 (2024) - [i68]Li Zhang, Youwei Liang, Ruiyi Zhang, Amirhosein Javadi, Pengtao Xie:
BLO-SAM: Bi-level Optimization Based Overfitting-Preventing Finetuning of SAM. CoRR abs/2402.16338 (2024) - [i67]Han Guo, Ramtin Hosseini, Ruiyi Zhang, Sai Ashish Somayajula, Ranak Roy Chowdhury, Rajesh K. Gupta, Pengtao Xie:
Downstream Task Guided Masking Learning in Masked Autoencoders Using Multi-Level Optimization. CoRR abs/2402.18128 (2024) - [i66]Ruiyi Zhang, Rushi Qiang, Sai Ashish Somayajula, Pengtao Xie:
AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning. CoRR abs/2403.09113 (2024) - [i65]Rushi Qiang, Ruiyi Zhang, Pengtao Xie:
BiLoRA: A Bi-level Optimization Framework for Overfitting-Resilient Low-Rank Adaptation of Large Pre-trained Models. CoRR abs/2403.13037 (2024) - [i64]Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong Zhao, Ani Nenkova, Liang-Yan Gui, Tong Sun, Yu-Xiong Wang:
SOHES: Self-supervised Open-world Hierarchical Entity Segmentation. CoRR abs/2404.12386 (2024) - [i63]Wanrong Zhu, Jennifer Healey, Ruiyi Zhang, William Yang Wang, Tong Sun:
Automatic Layout Planning for Visually-Rich Documents with Instruction-Following Models. CoRR abs/2404.15271 (2024) - [i62]Zhendong Chu, Zichao Wang, Ruiyi Zhang, Yangfeng Ji, Hongning Wang, Tong Sun:
Improve Temporal Awareness of LLMs for Sequential Recommendation. CoRR abs/2405.02778 (2024) - [i61]Yu Wang, Nedim Lipka, Ruiyi Zhang, Alexa F. Siu, Yuying Zhao, Bo Ni, Xin Wang, Ryan A. Rossi, Tyler Derr:
Augmenting Textual Generation via Topology Aware Retrieval. CoRR abs/2405.17602 (2024) - [i60]Ruiyi Zhang, Yanzhe Zhang, Jian Chen, Yufan Zhou, Jiuxiang Gu, Changyou Chen, Tong Sun:
TRINS: Towards Multimodal Language Models that Can Read. CoRR abs/2406.06730 (2024) - [i59]Yufan Zhou, Ruiyi Zhang, Kaizhi Zheng, Nanxuan Zhao, Jiuxiang Gu, Zichao Wang, Xin Eric Wang, Tong Sun:
Toffee: Efficient Million-Scale Dataset Construction for Subject-Driven Text-to-Image Generation. CoRR abs/2406.09305 (2024) - [i58]Jianyi Zhang, Yufan Zhou, Jiuxiang Gu, Curtis Wigington, Tong Yu, Yiran Chen, Tong Sun, Ruiyi Zhang:
ARTIST: Improving the Generation of Text-rich Images by Disentanglement. CoRR abs/2406.12044 (2024) - [i57]Ishita Kumar, Snigdha Viswanathan, Sushrita Yerra, Alireza Salemi, Ryan A. Rossi, Franck Dernoncourt, Hanieh Deilamsalehy, Xiang Chen, Ruiyi Zhang, Shubham Agarwal, Nedim Lipka, Hamed Zamani:
LongLaMP: A Benchmark for Personalized Long-form Text Generation. CoRR abs/2407.11016 (2024) - [i56]Swetha Eppalapally, Daksh Dangi, Chaithra Bhat, Ankita Gupta, Ruiyi Zhang, Shubham Agarwal, Karishma Bagga, Seunghyun Yoon, Nedim Lipka, Ryan A. Rossi, Franck Dernoncourt:
KaPQA: Knowledge-Augmented Product Question-Answering. CoRR abs/2407.16073 (2024) - [i55]Ruiyi Zhang, Yufan Zhou, Jian Chen, Jiuxiang Gu, Changyou Chen, Tong Sun:
LLaVA-Read: Enhancing Reading Ability of Multimodal Language Models. CoRR abs/2407.19185 (2024) - [i54]Jian Chen, Ruiyi Zhang, Yufan Zhou, Ryan Rossi, Jiuxiang Gu, Changyou Chen:
MMR: Evaluating Reading Ability of Large Multimodal Models. CoRR abs/2408.14594 (2024) - [i53]Bang An, Sicheng Zhu, Ruiyi Zhang, Michael-Andrei Panaitescu-Liess, Yuancheng Xu, Furong Huang:
Automatic Pseudo-Harmful Prompt Generation for Evaluating False Refusals in Large Language Models. CoRR abs/2409.00598 (2024) - [i52]Deonna M. Owens, Ryan A. Rossi, Sungchul Kim, Tong Yu, Franck Dernoncourt, Xiang Chen, Ruiyi Zhang, Jiuxiang Gu, Hanieh Deilamsalehy, Nedim Lipka:
A Multi-LLM Debiasing Framework. CoRR abs/2409.13884 (2024) - [i51]Junda Wu, Zhehao Zhang, Yu Xia, Xintong Li, Zhaoyang Xia, Aaron Chang, Tong Yu, Sungchul Kim, Ryan A. Rossi, Ruiyi Zhang, Subrata Mitra, Dimitris N. Metaxas, Lina Yao, Jingbo Shang, Julian J. McAuley:
Visual Prompting in Multimodal Large Language Models: A Survey. CoRR abs/2409.15310 (2024) - [i50]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:
Federated Large Language Models: Current Progress and Future Directions. CoRR abs/2409.15723 (2024) - 2023
- [i49]Jianyi Zhang, Saeed Vahidian, Martin Kuo, Chunyuan Li, Ruiyi Zhang, Guoyin Wang, Yiran Chen:
Towards Building the Federated GPT: Federated Instruction Tuning. CoRR abs/2305.05644 (2023) - [i48]Kaige Xie, Tong Yu, Haoliang Wang, Junda Wu, Handong Zhao, Ruiyi Zhang, Kanak Mahadik, Ani Nenkova, Mark O. Riedl:
Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer. CoRR abs/2305.12077 (2023) - [i47]Yufan Zhou, Ruiyi Zhang, Tong Sun, Jinhui Xu:
Enhancing Detail Preservation for Customized Text-to-Image Generation: A Regularization-Free Approach. CoRR abs/2305.13579 (2023) - [i46]Jian Chen, Ruiyi Zhang, Tong Yu, Rohan Sharma, Zhiqiang Xu, Tong Sun, Changyou Chen:
Label-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels. CoRR abs/2305.19518 (2023) - [i45]Junda Wu, Tong Yu, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao:
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding. CoRR abs/2306.04933 (2023) - [i44]Yanzhe Zhang, Ruiyi Zhang, Jiuxiang Gu, Yufan Zhou, Nedim Lipka, Diyi Yang, Tong Sun:
LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding. CoRR abs/2306.17107 (2023) - [i43]Yicong Hong, Yang Zhou, Ruiyi Zhang, Franck Dernoncourt, Trung Bui, Stephen Gould, Hao Tan:
Learning Navigational Visual Representations with Semantic Map Supervision. CoRR abs/2307.12335 (2023) - [i42]Yu Wang, Nedim Lipka, Ryan A. Rossi, Alexa F. Siu, Ruiyi Zhang, Tyler Derr:
Knowledge Graph Prompting for Multi-Document Question Answering. CoRR abs/2308.11730 (2023) - [i41]Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, Md. Mehrab Tanjim, Sungchul Kim, Franck Dernoncourt, Tong Yu, Ruiyi Zhang, Nesreen K. Ahmed:
Bias and Fairness in Large Language Models: A Survey. CoRR abs/2309.00770 (2023) - [i40]Youwei Liang, Ruiyi Zhang, Li Zhang, Pengtao Xie:
DrugChat: Towards Enabling ChatGPT-Like Capabilities on Drug Molecule Graphs. CoRR abs/2309.03907 (2023) - [i39]Daniel Weber, Fabian Thomas, Lukas Gerlach, Ruiyi Zhang, Michael Schwarz:
Indirect Meltdown: Building Novel Side-Channel Attacks from Transient-Execution Attacks. CoRR abs/2310.04183 (2023) - [i38]Daniel Weber, Fabian Thomas, Lukas Gerlach, Ruiyi Zhang, Michael Schwarz:
Reviving Meltdown 3a. CoRR abs/2310.04192 (2023) - [i37]Sicheng Zhu, Ruiyi Zhang, Bang An, Gang Wu, Joe Barrow, Zichao Wang, Furong Huang, Ani Nenkova, Tong Sun:
AutoDAN: Automatic and Interpretable Adversarial Attacks on Large Language Models. CoRR abs/2310.15140 (2023) - [i36]Zhendong Chu, Ruiyi Zhang, Tong Yu, Rajiv Jain, Vlad I. Morariu, Jiuxiang Gu, Ani Nenkova:
Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances. CoRR abs/2310.16790 (2023) - [i35]Zhengmian Hu, Gang Wu, Saayan Mitra, Ruiyi Zhang, Tong Sun, Heng Huang, Vishy Swaminathan:
Token-Level Adversarial Prompt Detection Based on Perplexity Measures and Contextual Information. CoRR abs/2311.11509 (2023) - [i34]Yizhou Wang, Ruiyi Zhang, Haoliang Wang, Uttaran Bhattacharya, Yun Fu, Gang Wu:
VaQuitA: Enhancing Alignment in LLM-Assisted Video Understanding. CoRR abs/2312.02310 (2023) - [i33]Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Tong Sun:
Customization Assistant for Text-to-image Generation. CoRR abs/2312.03045 (2023) - [i32]Siqing Fu, Tiejun Li, Chunyuan Zhang, Hanqing Li, Sheng Ma, Jianmin Zhang, Ruiyi Zhang, Lizhou Wu:
RHS-TRNG: A Resilient High-Speed True Random Number Generator Based on STT-MTJ Device. CoRR abs/2312.17453 (2023) - 2022
- [i31]Shijing Si, Jianzong Wang, Ruiyi Zhang, Qinliang Su, Jing Xiao:
Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information. CoRR abs/2205.13300 (2022) - [i30]Ping Yu, Wei Wang, Chunyuan Li, Ruiyi Zhang, Zhanpeng Jin, Changyou Chen:
STT: Soft Template Tuning for Few-Shot Adaptation. CoRR abs/2207.08408 (2022) - [i29]Hongxin Zhang, Yanzhe Zhang, Ruiyi Zhang, Diyi Yang:
Robustness of Demonstration-based Learning Under Limited Data Scenario. CoRR abs/2210.10693 (2022) - 2021
- [i28]Yehua Wei, Lei Zhang, Ruiyi Zhang, Shijing Si, Hao Zhang, Lawrence Carin:
Reinforcement Learning for Flexibility Design Problems. CoRR abs/2101.00355 (2021) - [i27]Ping Yu, Ruiyi Zhang, Yang Zhao, Yizhe Zhang, Chunyuan Li, Changyou Chen:
SDA: Improving Text Generation with Self Data Augmentation. CoRR abs/2101.03236 (2021) - [i26]Siyang Yuan, Pengyu Cheng, Ruiyi Zhang, Weituo Hao, Zhe Gan, Lawrence Carin:
Improving Zero-shot Voice Style Transfer via Disentangled Representation Learning. CoRR abs/2103.09420 (2021) - [i25]Zequn Liu, Shukai Wang, Yiyang Gu, Ruiyi Zhang, Ming Zhang, Sheng Wang:
Graphine: A Dataset for Graph-aware Terminology Definition Generation. CoRR abs/2109.04018 (2021) - [i24]Yufan Zhou, Ruiyi Zhang, Changyou Chen, Chunyuan Li, Chris Tensmeyer, Tong Yu, Jiuxiang Gu, Jinhui Xu, Tong Sun:
LAFITE: Towards Language-Free Training for Text-to-Image Generation. CoRR abs/2111.13792 (2021) - 2020
- [i23]Ruiyi Zhang, Changyou Chen, Zhe Gan, Zheng Wen, Wenlin Wang, Lawrence Carin:
Nested-Wasserstein Self-Imitation Learning for Sequence Generation. CoRR abs/2001.06944 (2020) - [i22]Ruiyi Zhang, Bo Dai, Lihong Li, Dale Schuurmans:
GenDICE: Generalized Offline Estimation of Stationary Values. CoRR abs/2002.09072 (2020) - [i21]Ningyu He, Ruiyi Zhang, Lei Wu, Haoyu Wang, Xiapu Luo, Yao Guo, Ting Yu, Xuxian Jiang:
Security Analysis of EOSIO Smart Contracts. CoRR abs/2003.06568 (2020) - [i20]Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Dinghan Shen, Guoyin Wang, Zheng Wen, Lawrence Carin:
Improving Adversarial Text Generation by Modeling the Distant Future. CoRR abs/2005.01279 (2020) - [i19]Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin, Changyou Chen, Lawrence Carin:
Reward Constrained Interactive Recommendation with Natural Language Feedback. CoRR abs/2005.01618 (2020) - [i18]Zequn Liu, Ruiyi Zhang, Yiping Song, Ming Zhang:
When does MAML Work the Best? An Empirical Study on Model-Agnostic Meta-Learning in NLP Applications. CoRR abs/2005.11700 (2020) - [i17]Tong Yu, Branislav Kveton, Zheng Wen, Ruiyi Zhang, Ole J. Mengshoel:
Influence Diagram Bandits: Variational Thompson Sampling for Structured Bandit Problems. CoRR abs/2007.04915 (2020) - [i16]Xinyuan Zhang, Ruiyi Zhang, Manzil Zaheer, Amr Ahmed:
Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes. CoRR abs/2009.06851 (2020) - [i15]Bang An, Jie Lyu, Zhenyi Wang, Chunyuan Li, Changwei Hu, Fei Tan, Ruiyi Zhang, Yifan Hu, Changyou Chen:
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference. CoRR abs/2009.09364 (2020) - [i14]Guoyin Wang, Chunyuan Li, Jianqiao Li, Hao Fu, Yuh-Chen Lin, Liqun Chen, Yizhe Zhang, Chenyang Tao, Ruiyi Zhang, Wenlin Wang, Dinghan Shen, Qian Yang, Lawrence Carin:
Improving Text Generation with Student-Forcing Optimal Transport. CoRR abs/2010.05994 (2020) - 2019
- [i13]Liqun Chen, Yizhe Zhang, Ruiyi Zhang, Chenyang Tao, Zhe Gan, Haichao Zhang, Bai Li, Dinghan Shen, Changyou Chen, Lawrence Carin:
Improving Sequence-to-Sequence Learning via Optimal Transport. CoRR abs/1901.06283 (2019) - [i12]Ruiyi Zhang, Zheng Wen, Changyou Chen, Lawrence Carin:
Scalable Thompson Sampling via Optimal Transport. CoRR abs/1902.07239 (2019) - [i11]Wenlin Wang, Zhe Gan, Hongteng Xu, Ruiyi Zhang, Guoyin Wang, Dinghan Shen, Changyou Chen, Lawrence Carin:
Topic-Guided Variational Autoencoders for Text Generation. CoRR abs/1903.07137 (2019) - [i10]Charles Chen, Ruiyi Zhang, Eunyee Koh, Sungchul Kim, Scott Cohen, Tong Yu, Ryan A. Rossi, Razvan C. Bunescu:
Figure Captioning with Reasoning and Sequence-Level Training. CoRR abs/1906.02850 (2019) - [i9]Wenlin Wang, Chenyang Tao, Zhe Gan, Guoyin Wang, Liqun Chen, Xinyuan Zhang, Ruiyi Zhang, Qian Yang, Ricardo Henao, Lawrence Carin:
Improving Textual Network Learning with Variational Homophilic Embeddings. CoRR abs/1909.13456 (2019) - [i8]Wenlin Wang, Hongteng Xu, Ruiyi Zhang, Wenqi Wang, Lawrence Carin:
Collaborative Filtering with A Synthetic Feedback Loop. CoRR abs/1910.12735 (2019) - [i7]Zhenyi Wang, Ping Yu, Yang Zhao, Ruiyi Zhang, Yufan Zhou, Junsong Yuan, Changyou Chen:
Learning Diverse Stochastic Human-Action Generators by Learning Smooth Latent Transitions. CoRR abs/1912.10150 (2019) - 2018
- [i6]Ruiyi Zhang, Chunyuan Li, Changyou Chen, Lawrence Carin:
Learning Structural Weight Uncertainty for Sequential Decision-Making. CoRR abs/1801.00085 (2018) - [i5]Changyou Chen, Ruiyi Zhang, Wenlin Wang, Bai Li, Liqun Chen:
A Unified Particle-Optimization Framework for Scalable Bayesian Sampling. CoRR abs/1805.11659 (2018) - [i4]Chang Liu, Jingwei Zhuo, Pengyu Cheng, Ruiyi Zhang, Jun Zhu, Lawrence Carin:
Accelerated First-order Methods on the Wasserstein Space for Bayesian Inference. CoRR abs/1807.01750 (2018) - [i3]Ruiyi Zhang, Changyou Chen, Chunyuan Li, Lawrence Carin:
Policy Optimization as Wasserstein Gradient Flows. CoRR abs/1808.03030 (2018) - [i2]Jianyi Zhang, Ruiyi Zhang, Changyou Chen:
Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory. CoRR abs/1809.01293 (2018) - [i1]Ruiyi Zhang, Changyou Chen, Zhe Gan, Wenlin Wang, Liqun Chen, Dinghan Shen, Guoyin Wang, Lawrence Carin:
Sequence Generation with Guider Network. CoRR abs/1811.00696 (2018)
Coauthor Index
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