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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://dblp.dagstuhl.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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2020 – today
- 2025
[c89]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:
Numerical Pruning for Efficient Autoregressive Models. AAAI 2025: 20418-20426- [c88]Chengkai Huang, Yu Xia, Rui Wang, Kaige Xie, Tong Yu, Julian J. McAuley, Lina Yao:
Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models. COLING 2025: 1403-1412 - [c87]Yu Xia, Rui Wang, Xu Liu, Mingyan Li, Tong Yu, Xiang Chen, Julian J. McAuley, Shuai Li:
Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs. COLING 2025: 10795-10809 - [c86]Jianyi Zhang, Yufan Zhou, Jiuxiang Gu, Curtis Wigington, Tong Yu, Yiran Chen, Tong Sun, Ruiyi Zhang:
ARTIST: Improving the Generation of Text-Rich Images with Disentangled Diffusion Models and Large Language Models. WACV 2025: 1268-1278 - [c85]Songwen Hu, Ryan A. Rossi, Tong Yu, Junda Wu, Handong Zhao, Sungchul Kim, Shuai Li:
Interactive Visualization Recommendation with Hier-SUCB. WWW 2025: 313-321 - [i77]Jaeyoung Kim, Jongho Lee, Hong-Jun Choi, Ting-Yao Hsu, Chieh-Yang Huang, Sungchul Kim, Ryan A. Rossi, Tong Yu, Clyde Lee Giles, Ting-Hao (Kenneth) Huang, Sungchul Choi:
Multi-LLM Collaborative Caption Generation in Scientific Documents. CoRR abs/2501.02552 (2025) - [i76]Ho Yin Ng, Ting-Yao Hsu, Jiyoo Min, Sungchul Kim, Ryan A. Rossi, Tong Yu, Hyunggu Jung, Ting-Hao Kenneth Huang:
Understanding How Paper Writers Use AI-Generated Captions in Figure Caption Writing. CoRR abs/2501.06317 (2025) - [i75]Ting-Yao Hsu, Yi-Li Hsu, Shaurya Rohatgi, Chieh-Yang Huang, Ho Yin Sam Ng, Ryan A. Rossi, Sungchul Kim, Tong Yu, Lun-Wei Ku, C. Lee Giles, Ting-Hao K. Huang:
Do Large Multimodal Models Solve Caption Generation for Scientific Figures? Lessons Learned from SCICAP Challenge 2023. CoRR abs/2501.19353 (2025) - [i74]Songwen Hu, Ryan A. Rossi, Tong Yu, Junda Wu, Handong Zhao, Sungchul Kim, Shuai Li:
Interactive Visualization Recommendation with Hier-SUCB. CoRR abs/2502.03375 (2025) - [i73]Kiarash Banihashem, Xiang Chen, MohammadTaghi Hajiaghayi, Sungchul Kim, Kanak Mahadik, Ryan A. Rossi, Tong Yu:
Pandora with Inaccurate Priors. CoRR abs/2502.03574 (2025) - [i72]Junda Wu, Yuxin Xiong, Xintong Li, Yu Xia, Ruoyu Wang, Yu Wang, Tong Yu, Sungchul Kim, Ryan A. Rossi, Lina Yao, Jingbo Shang, Julian J. McAuley:
Mitigating Visual Knowledge Forgetting in MLLM Instruction-tuning via Modality-decoupled Gradient Descent. CoRR abs/2502.11740 (2025) - [i71]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:
From Selection to Generation: A Survey of LLM-based Active Learning. CoRR abs/2502.11767 (2025) - [i70]Manisha Mukherjee, Sungchul Kim, Xiang Chen, Dan Luo, Tong Yu, Tung Mai:
From Documents to Dialogue: Building KG-RAG Enhanced AI Assistants. CoRR abs/2502.15237 (2025) - [i69]Shubham Agarwal, Sai Sundaresan, Subrata Mitra, Debabrata Mahapatra, Archit Gupta, Rounak Sharma, Nirmal Joshua Kapu, Tong Yu, Shiv Kumar Saini:
Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation. CoRR abs/2502.15734 (2025) - [i68]Md. Mehrab Tanjim, Ryan A. Rossi, Mike Rimer, Xiang Chen, Sungchul Kim, Vaishnavi Muppala, Tong Yu, Zhengmian Hu, Ritwik Sinha, Wei Zhang, Iftikhar Ahamath Burhanuddin, Franck Dernoncourt:
Exploring Rewriting Approaches for Different Conversational Tasks. CoRR abs/2502.18860 (2025) - [i67]Branislav Kveton, Xintong Li, Julian J. McAuley, Ryan A. Rossi, Jingbo Shang, Junda Wu, Tong Yu:
Active Learning for Direct Preference Optimization. CoRR abs/2503.01076 (2025) - [i66]Chengkai Huang, Junda Wu, Yu Xia, Zixu Yu, Ruhan Wang, Tong Yu, Ruiyi Zhang, Ryan A. Rossi, Branislav Kveton, Dongruo Zhou, Julian J. McAuley, Lina Yao:
Towards Agentic Recommender Systems in the Era of Multimodal Large Language Models. CoRR abs/2503.16734 (2025) - [i65]Shiyi Yang, Zhibo Hu, Chen Wang, Tong Yu, Xiwei Xu, Liming Zhu, Lina Yao:
Get the Agents Drunk: Memory Perturbations in Autonomous Agent-based Recommender Systems. CoRR abs/2503.23804 (2025) - 2024
- [j13]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. Comput. Linguistics 50(3): 1097-1179 (2024) - [j12]Jianpeng Chen, Yujing Wang, Ming Zeng, Zongyi Xiang, Bitan Hou, Tong Yu, Ole J. Mengshoel, Yazhou Ren:
Customizing graph neural networks using path reweighting. Inf. Sci. 674: 120681 (2024) - [j11]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. J. Mach. Learn. Res. 25: 224:1-224:46 (2024) - [j10]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. ACM Trans. Knowl. Discov. Data 18(6): 138:1-138:23 (2024) - [j9]Xiangxiang Dai, Zhiyong Wang, Jize Xie, Tong Yu, John C. S. Lui:
Online Learning and Detecting Corrupted Users for Conversational Recommendation Systems. IEEE Trans. Knowl. Data Eng. 36(12): 8939-8953 (2024) - [j8]Yu Xia, Zhihui Xie, Tong Yu, Canzhe Zhao, Shuai Li:
Toward joint utilization of absolute and relative bandit feedback for conversational recommendation. User Model. User Adapt. Interact. 34(5): 1707-1744 (2024) - [c84]Junda Wu, Tong Yu, Xiang Chen, Haoliang Wang, Ryan A. Rossi, Sungchul Kim, Anup B. Rao, Julian J. McAuley:
DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention. ACL (1) 2024: 14073-14087 - [c83]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 - [c82]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 - [c81]Zhizhang Hu, Yue Zhang, Ryan A. Rossi, Tong Yu, Sungchul Kim, Shijia Pan:
Are Large Language Models Capable of Causal Reasoning for Sensing Data Analysis? EdgeFM@MobiSys 2024: 24-29 - [c80]Yue Bai, Handong Zhao, Zhe Lin, Ajinkya Kale, Jiuxiang Gu, Tong Yu, Sungchul Kim, Yun Fu:
Advancing Vision-Language Models with Adapter Ensemble Strategies. EMNLP (Findings) 2024: 15702-15720 - [c79]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 - [c78]Zhehao Zhang, Tong Yu, Handong Zhao, Kaige Xie, Lina Yao, Shuai Li:
Exploring Soft Prompt Initialization Strategy for Few-Shot Continual Text Classification. ICASSP 2024: 12106-12110 - [c77]Yuchen Zhuang, Xiang Chen, Tong Yu, Saayan Mitra, Victor S. Bursztyn, Ryan A. Rossi, Somdeb Sarkhel, Chao Zhang:
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search. ICLR 2024 - [c76]Puja Trivedi, Ryan A. Rossi, David Arbour, Tong Yu, Franck Dernoncourt, Sungchul Kim, Nedim Lipka, Namyong Park, Nesreen K. Ahmed, Danai Koutra:
Editing Partially Observable Networks via Graph Diffusion Models. ICML 2024 - [c75]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. KDD 2024: 3391-3401 - [c74]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 - [c73]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 - [c72]Yu Xia, Tong Yu, Zhankui He, Handong Zhao, Julian J. McAuley, Shuai Li:
Aligning as Debiasing: Causality-Aware Alignment via Reinforcement Learning with Interventional Feedback. NAACL-HLT 2024: 4684-4695 - [c71]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. NAACL-HLT 2024: 8665-8677 - [c70]Zhihui Xie, Jizhou Guo, Tong Yu, Shuai Li:
Calibrating Reasoning in Language Models with Internal Consistency. NeurIPS 2024 - [c69]Shuai Li, Zhao Song, Yu Xia, Tong Yu, Tianyi Zhou:
The Closeness of In-Context Learning and Weight Shifting for Softmax Regression. NeurIPS 2024 - [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 - [i64]Zhihui Xie, Handong Zhao, Tong Yu, Shuai Li:
Discovering Low-rank Subspaces for Language-agnostic Multilingual Representations. CoRR abs/2401.05792 (2024) - [i63]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) - [i62]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) - [i61]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) - [i60]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) - [i59]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) - [i58]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) - [i57]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) - [i56]Xiaocong Chen, Siyu Wang, Tong Yu, Lina Yao:
Uncertainty-aware Distributional Offline Reinforcement Learning. CoRR abs/2403.17646 (2024) - [i55]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) - [i54]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) - [i53]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) - [i52]Yu Xia, Rui Wang, Xu Liu, Mingyan Li, Tong Yu, Xiang Chen, Julian J. McAuley, Shuai Li:
Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs. CoRR abs/2404.15676 (2024) - [i51]Zhihui Xie, Jizhou Guo, Tong Yu, Shuai Li:
Calibrating Reasoning in Language Models with Internal Consistency. CoRR abs/2405.18711 (2024) - [i50]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) - [i49]Younghun Lee, Sungchul Kim, Ryan A. Rossi, Tong Yu, Xiang Chen:
Learning to Reduce: Towards Improving Performance of Large Language Models on Structured Data. CoRR abs/2407.02750 (2024) - [i48]Shanyun Gao, Raghavendra Addanki, Tong Yu, Ryan A. Rossi, Murat Kocaoglu:
Causal Discovery-Driven Change Point Detection in Time Series. CoRR abs/2407.07290 (2024) - [i47]Shanyun Gao, Raghavendra Addanki, Tong Yu, Ryan A. Rossi, Murat Kocaoglu:
Causal Discovery in Semi-Stationary Time Series. CoRR abs/2407.07291 (2024) - [i46]Junda Wu, Xintong Li, Tong Yu, Yu Wang, Xiang Chen, Jiuxiang Gu, Lina Yao, Jingbo Shang, Julian J. McAuley:
CoMMIT: Coordinated Instruction Tuning for Multimodal Large Language Models. CoRR abs/2407.20454 (2024) - [i45]Ryan Aponte, Ryan A. Rossi, Shunan Guo, Franck Dernoncourt, Tong Yu, Xiang Chen, Subrata Mitra, Nedim Lipka:
A Framework for Fine-Tuning LLMs using Heterogeneous Feedback. CoRR abs/2408.02861 (2024) - [i44]Yeonjun In, Sungchul Kim, Ryan A. Rossi, Md. Mehrab Tanjim, Tong Yu, Ritwik Sinha, Chanyoung Park:
Diversify-verify-adapt: Efficient and Robust Retrieval-Augmented Ambiguous Question Answering. CoRR abs/2409.02361 (2024) - [i43]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) - [i42]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) - [i41]Yuhang Yao, Jianyi Zhang, Junda Wu, Chengkai Huang, Yu Xia, Tong Yu, Ruiyi Zhang, Sungchul Kim, Ryan A. 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) - [i40]Yu Xia, Junda Wu, Sungchul Kim, Tong Yu, Ryan A. Rossi, Haoliang Wang, Julian J. McAuley:
Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval. CoRR abs/2410.13765 (2024) - [i39]Zhehao Zhang, Ryan A. Rossi, Tong Yu, Franck Dernoncourt, Ruiyi Zhang, Jiuxiang Gu, Sungchul Kim, Xiang Chen, Zichao Wang, Nedim Lipka:
VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use. CoRR abs/2410.16400 (2024) - [i38]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, Franck Dernoncourt, Nesreen K. Ahmed, Nedim Lipka, Ruiyi Zhang, Xiang Chen, Tong Yu, Sungchul Kim, Hanieh Deilamsalehy, Namyong Park, Mike Rimer, Zhehao Zhang, Huanrui Yang, Ryan A. Rossi, Thien Huu Nguyen:
A Survey of Small Language Models. CoRR abs/2410.20011 (2024) - [i37]Reuben Luera, Ryan A. Rossi, Alexa F. Siu, Franck Dernoncourt, Tong Yu, Sungchul Kim, Ruiyi Zhang, Xiang Chen, Hanieh Salehy, Jian Zhao, Samyadeep Basu, Puneet Mathur, Nedim Lipka:
Survey of User Interface Design and Interaction Techniques in Generative AI Applications. CoRR abs/2410.22370 (2024) - [i36]Junda Wu, Xintong Li, Ruoyu Wang, Yu Xia, Yuxin Xiong, Jianing Wang, Tong Yu, Xiang Chen, Branislav Kveton, Lina Yao, Jingbo Shang, Julian J. McAuley:
OCEAN: Offline Chain-of-thought Evaluation and Alignment in Large Language Models. CoRR abs/2410.23703 (2024) - [i35]Zhehao Zhang, Ryan A. Rossi, Branislav Kveton, Yijia Shao, Diyi Yang, Hamed Zamani, Franck Dernoncourt, Joe Barrow, Tong Yu, Sungchul Kim, Ruiyi Zhang, Jiuxiang Gu, Tyler Derr, Hongjie Chen, Junda Wu, Xiang Chen, Zichao Wang, Subrata Mitra, Nedim Lipka, Nesreen K. Ahmed, Yu Wang:
Personalization of Large Language Models: A Survey. CoRR abs/2411.00027 (2024) - [i34]Jian Chen, Ruiyi Zhang, Yufan Zhou, Tong Yu, Franck Dernoncourt, Jiuxiang Gu, Ryan A. Rossi, Changyou Chen, Tong Sun:
LoRA-Contextualizing Adaptation of Large Multimodal Models for Long Document Understanding. CoRR abs/2411.01106 (2024) - [i33]Leitian Tao, Xiang Chen, Tong Yu, Tung Mai, Ryan A. Rossi, Yixuan Li, Saayan Mitra:
CodeLutra: Boosting LLM Code Generation via Preference-Guided Refinement. CoRR abs/2411.05199 (2024) - [i32]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:
Optimizing Data Delivery: Insights from User Preferences on Visuals, Tables, and Text. CoRR abs/2411.07451 (2024) - [i31]Junda Wu, Hanjia Lyu, Yu Xia, Zhehao Zhang, Joe Barrow, Ishita Kumar, Mehrnoosh Mirtaheri, Hongjie Chen, Ryan A. Rossi, Franck Dernoncourt, Tong Yu, Ruiyi Zhang, Jiuxiang Gu, Nesreen K. Ahmed, Yu Wang, Xiang Chen, Hanieh Deilamsalehy, Namyong Park, Sungchul Kim, Huanrui Yang, Subrata Mitra, Zhengmian Hu, Nedim Lipka, Dang Nguyen, Yue Zhao, Jiebo Luo, Julian J. McAuley:
Personalized Multimodal Large Language Models: A Survey. CoRR abs/2412.02142 (2024) - [i30]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:
Numerical Pruning for Efficient Autoregressive Models. CoRR abs/2412.12441 (2024) - [i29]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, Thien Huu Nguyen, Trung Bui, Tianyi Zhou, Ryan A. Rossi, Franck Dernoncourt:
GUI Agents: A Survey. CoRR abs/2412.13501 (2024) - 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) - [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 - [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 S. 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 S. 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
- [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 - [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
- [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 - [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
- [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 - [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)
2010 – 2019
- 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 - [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
- [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 - [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
- [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) - [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 - [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) - 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 - 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) - 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
Coauthor Index
[c85] [i77] [i76] [i75] [i74] [i73] [i72] [i71] [i70] [i68] [j13] [j11] [j10] [c84] [c83] [c81] [c80] [c76] [c73] [c71] [c67] [c66] [i63] [i62] [i60] [i58] [i55] [i54] [i49] [i44] [i43] [i42] [i41] [i40] [i39] [i38] [i37] [i35] [i32] [i31] [i29] [c63] [c62] [c60] [c59] [c57] [i28] [i23] [i22] [i21] [i17] [c49] [c41] [c39] [i16] [i12] [c22] [i6]
Ole J. Mengshoel
aka: Ole Jakob Mengshoel
aka: Ole Jakob Mengshoel
[c89] [c85] [i77] [i76] [i75] [i74] [i73] [i72] [i71] [i68] [i67] [i66] [j13] [j11] [j10] [c84] [c83] [c81] [c77] [c76] [c73] [c71] [c67] [c66] [i63] [i62] [i60] [i58] [i55] [i54] [i49] [i48] [i47] [i45] [i44] [i43] [i42] [i41] [i40] [i39] [i38] [i37] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [c62] [c60] [c57] [c55] [i28] [i23] [i22] [i21] [i19] [i17] [c41] [i12] [c22] [i6]
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