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ORCIDTong Yu 0001
Person information
- affiliation: Adobe Research, San Jose, CA, USA
- affiliation (former): Samsung Research America, Mountain View, CA, USA
- affiliation (former): Carnegie Mellon University, PA, USA
- affiliation (former): National Taiwan University, Taipei City, Taiwan
- affiliation (former): Nanjing University, Software Institute, China
Other persons with the same name
- Tong Yu — disambiguation page
- Tong Yu 0002 — Inspur Electronic Information Industry Co., Ltd, Jinan, Shandong, China
- Tong Yu 0003
![[0000-0002-7254-0992]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-7254-0992")
— China Academy of Chinese Medicine Sciences, Institute of Information on Traditional Chinese Medicine, Beijing, China (and 1 more) - Tong Yu 0004 — Beijing Children's Hospital, Capital Medical University, Beijing, China
- Tong Yu 0005 — Suzhou Nuclear Power Research Institute, Suzhou, China
- Tong Yu 0006 — Jilin University, Changchun, China
- Tong Yu 0007 — Beijing Environmental Monitor Center, Beijing, China
- Tong Yu 0008 — Xi'an Jiaotong University, Xi'an, China
- Tong Yu 0009 — University of Strasbourg, Strasbourg, France
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Journal Articles
- 2023
[j7]Qizhi Li, Canzhe Zhao, Tong Yu, Junda Wu, Shuai Li:
Clustering of conversational bandits with posterior sampling for user preference learning and elicitation. User Model. User Adapt. Interact. 33(5): 1065-1112 (2023)- 2017
- [j6]Shijia Pan, Tong Yu, Mostafa Mirshekari, Jonathon Fagert, Amelie Bonde, Ole J. Mengshoel, Hae Young Noh, Pei Zhang:
FootprintID: Indoor Pedestrian Identification through Ambient Structural Vibration Sensing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(3): 89:1-89:31 (2017) - [j5]Xiao Wang, Tong Yu, Ming Zeng, Patrick Tague:
XRec: Behavior-Based User Recognition Across Mobile Devices. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(3): 111:1-111:26 (2017) - 2015
- [j4]Chun-Liang Li, Yu-Chuan Su, Ting-Wei Lin, Cheng-Hao Tsai, Wei-Cheng Chang, Kuan-Hao Huang, Tzu-Ming Kuo, Shan-Wei Lin, Young-San Lin, Yu-Chen Lu, Chun-Pai Yang, Cheng-Xia Chang, Wei-Sheng Chin, Yu-Chin Juan, Hsiao-Yu Tung, Jui-Pin Wang, Cheng-Kuang Wei, Felix Wu, Tu-Chun Yin, Tong Yu, Yong Zhuang, Shou-De Lin, Hsuan-Tien Lin, Chih-Jen Lin:
Combination of feature engineering and ranking models for paper-author identification in KDD cup 2013. J. Mach. Learn. Res. 16: 2921-2947 (2015) - [j3]Tongwei Ren, Zhongyan Qiu, Yan Liu, Tong Yu, Jia Bei:
Soft-assigned bag of features for object tracking. Multim. Syst. 21(2): 189-205 (2015) - 2014
- [j2]Wei-Sheng Chin, Yong Zhuang, Yu-Chin Juan, Felix Wu, Hsiao-Yu Tung, Tong Yu, Jui-Pin Wang, Cheng-Xia Chang, Chun-Pai Yang, Wei-Cheng Chang, Kuan-Hao Huang, Tzu-Ming Kuo, Shan-Wei Lin, Young-San Lin, Yu-Chen Lu, Yu-Chuan Su, Cheng-Kuang Wei, Tu-Chun Yin, Chun-Liang Li, Ting-Wei Lin, Cheng-Hao Tsai, Shou-De Lin, Hsuan-Tien Lin, Chih-Jen Lin:
Effective string processing and matching for author disambiguation. J. Mach. Learn. Res. 15(1): 3037-3064 (2014) - [j1]Meng-Chieh Yu, Tong Yu, Shao-Chen Wang, Chih-Jen Lin, Edward Y. Chang:
Big Data Small Footprint: The Design of A Low-Power Classifier for Detecting Transportation Modes. Proc. VLDB Endow. 7(13): 1429-1440 (2014)
Conference and Workshop Papers
- 2024
- [c70]Ting-Yao Hsu, Chieh-Yang Huang, Shih-Hong Huang, Ryan A. Rossi, Sungchul Kim, Tong Yu, C. Lee Giles, Ting-Hao Kenneth Huang:
SciCapenter: Supporting Caption Composition for Scientific Figures with Machine-Generated Captions and Ratings. CHI Extended Abstracts 2024: 284:1-284:9 - [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]Xu Liu, Tong Yu, Kaige Xie, Junda Wu, Shuai Li:
Interact with the Explanations: Causal Debiased Explainable Recommendation System. WSDM 2024: 472-481 - [c67]Mehrnoosh Mirtaheri, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Tong Yu, Xiang Chen, Mohammad Rostami:
Tackling Long-Tail Entities for Temporal Knowledge Graph Completion. WWW (Companion Volume) 2024: 497-500 - [c66]Yu Xia, Fang Kong, Tong Yu, Liya Guo, Ryan A. Rossi, Sungchul Kim, Shuai Li:
Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits. WWW 2024: 4059-4070 - 2023
- [c65]Shaddy Garg, Subrata Mitra, Tong Yu, Yash Gadhia, Arjun Kashettiwar:
Reinforced Approximate Exploratory Data Analysis. AAAI 2023: 7660-7669 - [c64]Ruiyi Zhang, Tong Yu:
Understanding Demonstration-based Learning from a Causal Perspective. ACL (2) 2023: 1465-1475 - [c63]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 - [c62]Jaeho Bang, Sungchul Kim, Ryan A. Rossi, Tong Yu, Handong Zhao:
Interpretable Unsupervised Log Anomaly Detection. IEEE Big Data 2023: 1899-1902 - [c61]Qiucheng Wu, Yujian Liu, Handong Zhao, Ajinkya Kale, Trung Bui, Tong Yu, Zhe Lin, Yang Zhang, Shiyu Chang:
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models. CVPR 2023: 1900-1910 - [c60]Sudhanshu Chanpuriya, Ryan A. Rossi, Sungchul Kim, Tong Yu, Jane Hoffswell, Nedim Lipka, Shunan Guo, Cameron Musco:
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs. ICLR 2023 - [c59]Junda Wu, Haoliang Wang, Tong Yu, Gang Wu, Stefano Petrangeli, Handong Zhao, Sungchul Kim, Viswanathan Swaminathan:
Content-aware Progressive Image Compression and Syncing. ISM 2023: 221-224 - [c58]Yu Shen, Gang Wu, Vishy Swaminathan, Haoliang Wang, Stefano Petrangeli, Tong Yu:
GPU-accelerated Lossless Image Compression with Massive Parallelization. ISM 2023: 321-324 - [c57]Yu Xia, Junda Wu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Shuai Li:
User-Regulation Deconfounded Conversational Recommender System with Bandit Feedback. KDD 2023: 2694-2704 - [c56]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 - [c55]Shanyun Gao, Raghavendra Addanki, Tong Yu, Ryan A. Rossi, Murat Kocaoglu:
Causal Discovery in Semi-Stationary Time Series. NeurIPS 2023 - [c54]Zhiyong Wang, Jize Xie, Tong Yu, Shuai Li, John C. S. Lui:
Online Corrupted User Detection and Regret Minimization. NeurIPS 2023 - [c53]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 - [c52]Shubham Agarwal, Gromit Yeuk-Yin Chan, Shaddy Garg, Tong Yu, Subrata Mitra:
Fast Natural Language Based Data Exploration with Samples. SIGMOD Conference Companion 2023: 155-158 - 2022
- [c51]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 - [c50]Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin:
Text-Based Interactive Recommendation via Offline Reinforcement Learning. AAAI 2022: 11694-11702 - [c49]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 - [c48]Jinhang Zuo, Songwen Hu, Tong Yu, Shuai Li, Handong Zhao, Carlee Joe-Wong:
Hierarchical Conversational Preference Elicitation with Bandit Feedback. CIKM 2022: 2827-2836 - [c47]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 - [c46]Haoyu Ma, Handong Zhao, Zhe Lin, Ajinkya Kale, Zhangyang Wang, Tong Yu, Jiuxiang Gu, Sunav Choudhary, Xiaohui Xie:
EI-CLIP: Entity-aware Interventional Contrastive Learning for E-commerce Cross-modal Retrieval. CVPR 2022: 18030-18040 - [c45]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 - [c44]Zhihui Xie, Handong Zhao, Tong Yu, Shuai Li:
Discovering Low-rank Subspaces for Language-agnostic Multilingual Representations. EMNLP 2022: 5617-5633 - [c43]Ole Jakob Mengshoel, Eirik Lund Flogard, Tong Yu, Jon Riege:
Understanding the cost of fitness evaluation for subset selection: Markov chain analysis of stochastic local search. GECCO 2022: 251-259 - [c42]Zhizhang Hu, Yue Zhang, Tong Yu, Shijia Pan:
VMA: Domain Variance- and Modality-Aware Model Transfer for Fine-Grained Occupant Activity Recognition. IPSN 2022: 259-270 - [c41]Can Qin, Sungchul Kim, Handong Zhao, Tong Yu, Ryan A. Rossi, Yun Fu:
External Knowledge Infusion for Tabular Pre-training Models with Dual-adapters. KDD 2022: 1401-1409 - [c40]Yong Zhuang, Tong Yu, Junda Wu, Shiqu Wu, Shuai Li:
Spatial-Temporal Aligned Multi-Agent Learning for Visual Dialog Systems. ACM Multimedia 2022: 482-490 - [c39]Zhankui He, Handong Zhao, Tong Yu, Sungchul Kim, Fan Du, Julian J. McAuley:
Bundle MCR: Towards Conversational Bundle Recommendation. RecSys 2022: 288-298 - [c38]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 - [c37]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 - [c36]Xutong Liu, Haoru Zhao, Tong Yu, Shuai Li, John C. S. Lui:
Federated online clustering of bandits. UAI 2022: 1221-1231 - [c35]Canzhe Zhao, Tong Yu, Zhihui Xie, Shuai Li:
Knowledge-aware Conversational Preference Elicitation with Bandit Feedback. WWW 2022: 483-492 - [c34]Haoyu Wang, Handong Zhao, Yaqing Wang, Tong Yu, Jiuxiang Gu, Jing Gao:
FedKC: Federated Knowledge Composition for Multilingual Natural Language Understanding. WWW 2022: 1839-1850 - 2021
- [c33]Junda Wu, Canzhe Zhao, Tong Yu, Jingyang Li, Shuai Li:
Clustering of Conversational Bandits for User Preference Learning and Elicitation. CIKM 2021: 2129-2139 - [c32]Ole Jakob Mengshoel, Tong Yu, Jon Riege, Eirik Flogard:
Stochastic local search for efficient hybrid feature selection. GECCO Companion 2021: 133-134 - [c31]Junda Wu, Tong Yu, Shuai Li:
Deconfounded and Explainable Interactive Vision-Language Retrieval of Complex Scenes. ACM Multimedia 2021: 2103-2111 - [c30]Zhihui Xie, Tong Yu, Canzhe Zhao, Shuai Li:
Comparison-based Conversational Recommender System with Relative Bandit Feedback. SIGIR 2021: 1400-1409 - 2020
- [c29]Tong Yu, Yilin Shen, Hongxia Jin:
Towards Hands-Free Visual Dialog Interactive Recommendation. AAAI 2020: 1137-1144 - [c28]Ole Jakob Mengshoel, Tong Yu, Ming Zeng:
Stochastic Local Search and Machine Learning: From Theory to Applications and Vice Versa. ECAI 2020: 2919-2920 - [c27]Susu Xu, Shijia Pan, Tong Yu:
CML-IOT 2020: the second workshop on continual and multimodal learning for internet of things. UbiComp/ISWC Adjunct 2020: 616-618 - [c26]Zhizhang Hu, Tong Yu, Yue Zhang, Shijia Pan:
Fine-grained activities recognition with coarse-grained labeled multi-modal data. UbiComp/ISWC Adjunct 2020: 644-649 - [c25]Tong Yu, Branislav Kveton, Zheng Wen, Ruiyi Zhang, Ole J. Mengshoel:
Graphical Models Meet Bandits: A Variational Thompson Sampling Approach. ICML 2020: 10902-10912 - 2019
- [c24]Ruiyi Zhang, Zheng Wen, Changyou Chen, Chen Fang, Tong Yu, Lawrence Carin:
Scalable Thompson Sampling via Optimal Transport. AISTATS 2019: 87-96 - [c23]Tong Yu, Shijia Pan, Susu Xu, Yilin Shen, Botao Hao:
CML-IOT 2019: the first workshop on continual and multimodal learning for internet of things. UbiComp/ISWC Adjunct 2019: 465-467 - [c22]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 - [c21]Tong Yu, Yilin Shen, Hongxia Jin:
A Visual Dialog Augmented Interactive Recommender System. KDD 2019: 157-165 - [c20]Tong Yu, Yilin Shen, Ruiyi Zhang, Xiangyu Zeng, Hongxia Jin:
Vision-Language Recommendation via Attribute Augmented Multimodal Reinforcement Learning. ACM Multimedia 2019: 39-47 - [c19]Ruiyi Zhang, Tong Yu, Yilin Shen, Hongxia Jin, Changyou Chen:
Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning. NeurIPS 2019: 15188-15198 - 2018
- [c18]Tong Yu, Shijia Pan, Susu Xu, Xinlei Chen, Mostafa Mirshekari, Jonathon Fagert, Hae Young Noh, Pei Zhang, Ole J. Mengshoel:
ILPC: Iterative Learning Using Physical Constraints in Real-World Sensing Data. AAAI Workshops 2018: 202-208 - [c17]Bing Liu, Tong Yu, Ian R. Lane, Ole J. Mengshoel:
Customized Nonlinear Bandits for Online Response Selection in Neural Conversation Models. AAAI 2018: 5245-5252 - [c16]Zhou Fang, Mulong Luo, Tong Yu, Ole J. Mengshoel, Mani B. Srivastava, Rajesh K. Gupta:
Mitigating Multi-tenant Interference in Continuous Mobile Offloading. CLOUD 2018: 20-36 - [c15]Jianfeng Chi, Emmanuel Owusu, Xuwang Yin, Tong Yu, William Chan, Yiming Liu, Haodong Liu, Jiasen Chen, Swee Sim, Vibha Iyengar, Patrick Tague, Yuan Tian:
Privacy Partition: A Privacy-Preserving Framework for Deep Neural Networks in Edge Networks. SEC 2018: 378-380 - [c14]Ming Zeng, Haoxiang Gao, Tong Yu, Ole J. Mengshoel, Helge Langseth, Ian R. Lane, Xiaobing Liu:
Understanding and improving recurrent networks for human activity recognition by continuous attention. UbiComp 2018: 56-63 - [c13]Ming Zeng, Tong Yu, Ole J. Mengshoel, Helen Qin, Chris Lee, John Paul Shen:
Improving Bag-Of-Words: Capturing Local Information for Motion-Based Activity Recognition. UbiComp/ISWC Adjunct 2018: 1345-1354 - [c12]Tong Yu, Branislav Kveton, Zheng Wen, Hung Bui, Ole J. Mengshoel:
SpectralLeader: Online Spectral Learning for Single Topic Models. ECML/PKDD (2) 2018: 379-395 - 2017
- [c11]Ming Zeng, Tong Yu, Xiao Wang, Le T. Nguyen, Ole J. Mengshoel, Ian R. Lane:
Semi-supervised convolutional neural networks for human activity recognition. IEEE BigData 2017: 522-529 - [c10]Zhou Fang, Tong Yu, Ole J. Mengshoel, Rajesh K. Gupta:
QoS-Aware Scheduling of Heterogeneous Servers for Inference in Deep Neural Networks. CIKM 2017: 2067-2070 - [c9]Zhou Fang, Mulong Luo, Tong Yu, Ole J. Mengshoel, Mani B. Srivastava, Rajesh K. Gupta:
Mitigating multi-tenant interference on mobile offloading servers: poster abstract. SoCC 2017: 644 - [c8]Tong Yu, Branislav Kveton, Ole J. Mengshoel:
Thompson Sampling for Optimizing Stochastic Local Search. ECML/PKDD (1) 2017: 493-510 - [c7]Xiao Wang, Tong Yu, Ole J. Mengshoel, Patrick Tague:
Towards continuous and passive authentication across mobile devices: an empirical study. WISEC 2017: 35-45 - 2016
- [c6]Tong Yu, Ole J. Mengshoel, Alvin Jude, Eugen Feller, Julien Forgeat, Nimish Radia:
Incremental learning for matrix factorization in recommender systems. IEEE BigData 2016: 1056-1063 - [c5]Ole J. Mengshoel, Youssef Ahres, Tong Yu:
Markov Chain Analysis of Noise and Restart in Stochastic Local Search. IJCAI 2016: 639-646 - [c4]Tong Yu, Yong Zhuang, Ole J. Mengshoel, Osman Yagan:
Hybridizing Personal and Impersonal Machine Learning Models for Activity Recognition on Mobile Devices. MobiCASE 2016: 117-126 - 2013
- [c3]Zhongyan Qiu, Tong Yu, Tongwei Ren, Yan Liu, Jia Bei:
Soft-assigned bag of features tracking. ICIMCS 2013: 38-41 - [c2]Chun-Liang Li, Yu-Chuan Su, Ting-Wei Lin, Cheng-Hao Tsai, Wei-Cheng Chang, Kuan-Hao Huang, Tzu-Ming Kuo, Shan-Wei Lin, Young-San Lin, Yu-Chen Lu, Chun-Pai Yang, Cheng-Xia Chang, Wei-Sheng Chin, Yu-Chin Juan, Hsiao-Yu Tung, Jui-Pin Wang, Cheng-Kuang Wei, Felix Wu, Tu-Chun Yin, Tong Yu, Yong Zhuang, Shou-de Lin, Hsuan-Tien Lin, Chih-Jen Lin:
Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013. KDD Cup 2013: 2:1-2:7 - [c1]Wei-Sheng Chin, Yu-Chin Juan, Yong Zhuang, Felix Wu, Hsiao-Yu Tung, Tong Yu, Jui-Pin Wang, Cheng-Xia Chang, Chun-Pai Yang, Wei-Cheng Chang, Kuan-Hao Huang, Tzu-Ming Kuo, Shan-Wei Lin, Young-San Lin, Yu-Chen Lu, Yu-Chuan Su, Cheng-Kuang Wei, Tu-Chun Yin, Chun-Liang Li, Ting-Wei Lin, Cheng-Hao Tsai, Shou-De Lin, Hsuan-Tien Lin, Chih-Jen Lin:
Effective string processing and matching for author disambiguation. KDD Cup 2013: 7:1-7:9
Informal and Other Publications
- 2024
- [i39]Zhihui Xie, Handong Zhao, Tong Yu, Shuai Li:
Discovering Low-rank Subspaces for Language-agnostic Multilingual Representations. CoRR abs/2401.05792 (2024) - [i38]Yujian Liu, Jiabao Ji, Tong Yu, Ryan A. Rossi, Sungchul Kim, Handong Zhao, Ritwik Sinha, Yang Zhang, Shiyu Chang:
Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion. CoRR abs/2401.15555 (2024) - [i37]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) - [i36]Chengkai Huang, Tong Yu, Kaige Xie, Shuai Zhang, Lina Yao, Julian J. McAuley:
Foundation Models for Recommender Systems: A Survey and New Perspectives. CoRR abs/2402.11143 (2024) - [i35]Younghun Lee, Sungchul Kim, Tong Yu, Ryan A. Rossi, Xiang Chen:
Learning to Reduce: Optimal Representations of Structured Data in Prompting Large Language Models. CoRR abs/2402.14195 (2024) - [i34]Junda Wu, Cheng-Chun Chang, Tong Yu, Zhankui He, Jianing Wang, Yupeng Hou, Julian J. McAuley:
CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation. CoRR abs/2403.06447 (2024) - [i33]Yu Xia, Fang Kong, Tong Yu, Liya Guo, Ryan A. Rossi, Sungchul Kim, Shuai Li:
Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits. CoRR abs/2403.07213 (2024) - [i32]Xiaoyu Liu, Paiheng Xu, Junda Wu, Jiaxin Yuan, Yifan Yang, Yuhang Zhou, Fuxiao Liu, Tianrui Guan, Haoliang Wang, Tong Yu, Julian J. McAuley, Wei Ai, Furong Huang:
Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey. CoRR abs/2403.09606 (2024) - [i31]Ting-Yao Hsu, Chieh-Yang Huang, Shih-Hong Huang, Ryan A. Rossi, Sungchul Kim, Tong Yu, C. Lee Giles, Ting-Hao K. Huang:
SciCapenter: Supporting Caption Composition for Scientific Figures with Machine-Generated Captions and Ratings. CoRR abs/2403.17784 (2024) - [i30]Yu Xia, Xu Liu, Tong Yu, Sungchul Kim, Ryan A. Rossi, Anup B. Rao, Tung Mai, Shuai Li:
Hallucination Diversity-Aware Active Learning for Text Summarization. CoRR abs/2404.01588 (2024) - [i29]Chengkai Huang, Rui Wang, Kaige Xie, Tong Yu, Lina Yao:
Learn When (not) to Trust Language Models: A Privacy-Centric Adaptive Model-Aware Approach. CoRR abs/2404.03514 (2024) - 2023
- [i28]Rashmi Ranjan Bhuyan, Adel Javanmard, Sungchul Kim, Gourab Mukherjee, Ryan A. Rossi, Tong Yu, Handong Zhao:
Structured Dynamic Pricing: Optimal Regret in a Global Shrinkage Model. CoRR abs/2303.15652 (2023) - [i27]Shuai Li, Zhao Song, Yu Xia, Tong Yu, Tianyi Zhou:
The Closeness of In-Context Learning and Weight Shifting for Softmax Regression. CoRR abs/2304.13276 (2023) - [i26]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) - [i25]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) - [i24]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) - [i23]April Chen, Ryan A. Rossi, Namyong Park, Puja Trivedi, Yu Wang, Tong Yu, Sungchul Kim, Franck Dernoncourt, Nesreen K. Ahmed:
Fairness-Aware Graph Neural Networks: A Survey. CoRR abs/2307.03929 (2023) - [i22]Ashish Singh, Prateek Agarwal, Zixuan Huang, Arpita Singh, Tong Yu, Sungchul Kim, Victor Bursztyn, Nikos Vlassis, Ryan A. Rossi:
FigCaps-HF: A Figure-to-Caption Generative Framework and Benchmark with Human Feedback. CoRR abs/2307.10867 (2023) - [i21]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) - [i20]Zhiyong Wang, Jize Xie, Tong Yu, Shuai Li, John C. S. Lui:
Online Corrupted User Detection and Regret Minimization. CoRR abs/2310.04768 (2023) - [i19]Yuchen Zhuang, Xiang Chen, Tong Yu, Saayan Mitra, Victor Bursztyn, Ryan A. Rossi, Somdeb Sarkhel, Chao Zhang:
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search. CoRR abs/2310.13227 (2023) - [i18]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) - [i17]Puja Trivedi, Ryan A. Rossi, David Arbour, Tong Yu, Franck Dernoncourt, Sungchul Kim, Nedim Lipka, Namyong Park, Nesreen K. Ahmed, Danai Koutra:
Leveraging Graph Diffusion Models for Network Refinement Tasks. CoRR abs/2311.17856 (2023) - 2022
- [i16]Zhankui He, Handong Zhao, Tong Yu, Sungchul Kim, Fan Du, Julian J. McAuley:
Bundle MCR: Towards Conversational Bundle Recommendation. CoRR abs/2207.12628 (2022) - [i15]Zhihui Xie, Tong Yu, Canzhe Zhao, Shuai Li:
Comparison-based Conversational Recommender System with Relative Bandit Feedback. CoRR abs/2208.09837 (2022) - [i14]Xutong Liu, Haoru Zhao, Tong Yu, Shuai Li, John C. S. Lui:
Federated Online Clustering of Bandits. CoRR abs/2208.14865 (2022) - [i13]Jinhang Zuo, Songwen Hu, Tong Yu, Shuai Li, Handong Zhao, Carlee Joe-Wong:
Hierarchical Conversational Preference Elicitation with Bandit Feedback. CoRR abs/2209.06129 (2022) - [i12]Sudhanshu Chanpuriya, Ryan A. Rossi, Sungchul Kim, Tong Yu, Jane Hoffswell, Nedim Lipka, Shunan Guo, Cameron Musco:
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs. CoRR abs/2210.00032 (2022) - [i11]Shaddy Garg, Subrata Mitra, Tong Yu, Yash Gadhia, Arjun Kashettiwar:
Reinforced Approximate Exploratory Data Analysis. CoRR abs/2212.06225 (2022) - [i10]Qiucheng Wu, Yujian Liu, Handong Zhao, Ajinkya Kale, Trung Bui, Tong Yu, Zhe Lin, Yang Zhang, Shiyu Chang:
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models. CoRR abs/2212.08698 (2022) - 2021
- [i9]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
- [i8]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) - [i7]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) - 2019
- [i6]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) - 2018
- [i5]Ming Zeng, Tong Yu, Xiao Wang, Le T. Nguyen, Ole J. Mengshoel, Ian R. Lane:
Semi-Supervised Convolutional Neural Networks for Human Activity Recognition. CoRR abs/1801.07827 (2018) - [i4]Ming Zeng, Haoxiang Gao, Tong Yu, Ole J. Mengshoel, Helge Langseth, Ian R. Lane, Xiaobing Liu:
Understanding and Improving Recurrent Networks for Human Activity Recognition by Continuous Attention. CoRR abs/1810.04038 (2018) - [i3]Jianfeng Chi, Emmanuel Owusu, Xuwang Yin, Tong Yu, William Chan, Patrick Tague, Yuan Tian:
Privacy Partitioning: Protecting User Data During the Deep Learning Inference Phase. CoRR abs/1812.02863 (2018) - 2017
- [i2]Tong Yu, Branislav Kveton, Zheng Wen, Hung Bui, Ole J. Mengshoel:
SpectralFPL: Online Spectral Learning for Single Topic Models. CoRR abs/1709.07172 (2017) - [i1]Bing Liu, Tong Yu, Ian R. Lane, Ole J. Mengshoel:
Customized Nonlinear Bandits for Online Response Selection in Neural Conversation Models. CoRR abs/1711.08493 (2017)
Coauthor Index
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