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ORCIDYi R. Fung 0001
Yi Ren Fung 0001 – Yi Fung 0001 – Yi R. (May) Fung
Person information
- affiliation: Hong Kong University of Science and Technology, Department of Computer Science and Engineering, Hong Kong
- affiliation (PhD 2024): University of Illinois at Urbana Champaign (UIUC), Department of Computer Science, Urbana, IL, USA
- affiliation: University of Massachusetts, College of Information and Computer Sciences, Amherst, MA, USA
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2020 – today
- 2025
[j2]Yujia Qin, Shengding Hu, Yankai Lin, Weize Chen, Ning Ding, Ganqu Cui, Zheni Zeng, Xuanhe Zhou, Yufei Huang, Chaojun Xiao, Chi Han, Yi R. Fung, Yusheng Su, Huadong Wang, Cheng Qian, Runchu Tian, Kunlun Zhu, Shihao Liang, Xingyu Shen, Bokai Xu, Zhen Zhang, Yining Ye, Bowen Li, Ziwei Tang, Jing Yi, Yuzhang Zhu, Zhenning Dai, Lan Yan, Xin Cong, Yaxi Lu, Weilin Zhao, Yuxiang Huang, Junxi Yan, Xu Han, Xian Sun, Dahai Li, Jason Phang, Cheng Yang, Tongshuang Wu, Heng Ji, Guoliang Li, Zhiyuan Liu, Maosong Sun:
Tool Learning with Foundation Models. ACM Comput. Surv. 57(4): 101:1-101:40 (2025)- [c34]Jiayi He, Hehai Lin, Qingyun Wang, Yi R. Fung, Heng Ji:
Self-Correction is More than Refinement: A Learning Framework for Visual and Language Reasoning Tasks. ACL (Findings) 2025: 6405-6421 - [c33]Jaewoo Lee, Keyang Xuan, Chanakya Ekbote, Sandeep Polisetty, Yi R. Fung, Paul Pu Liang:
TAMP: Token-Adaptive Layerwise Pruning in Multimodal Large Language Models. ACL (Findings) 2025: 6892-6908 - [c32]Jianshu Zhang, Dongyu Yao, Renjie Pi, Paul Pu Liang, Yi R. Fung:
VLM2-Bench: A Closer Look at How Well VLMs Implicitly Link Explicit Matching Visual Cues. ACL (1) 2025: 7510-7545 - [c31]Zhitao He, Sandeep Polisetty, Zhiyuan Fan, Yuchen Huang, Shujin Wu, Yi R. Fung:
MMBoundary: Advancing MLLM Knowledge Boundary Awareness through Reasoning Step Confidence Calibration. ACL (1) 2025: 16427-16444 - [c30]Zhiyuan Fan, Yumeng Wang, Sandeep Polisetty, Yi R. Fung:
Unveiling the Lack of LVLM Robustness to Fundamental Visual Variations: Why and Path Forward. ACL (Findings) 2025: 20222-20242 - [c29]Yuji Zhang, Sha Li, Cheng Qian, Jiateng Liu, Pengfei Yu, Chi Han, Yi R. Fung, Kathleen McKeown, ChengXiang Zhai, Manling Li, Heng Ji:
The Law of Knowledge Overshadowing: Towards Understanding, Predicting and Preventing LLM Hallucination. ACL (Findings) 2025: 23340-23358 - [c28]Chenkai Sun, Ke Yang, Revanth Gangi Reddy, Yi Ren Fung, Hou Pong Chan, Kevin Small, ChengXiang Zhai, Heng Ji:
Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement. COLING 2025: 281-296 - [c27]Jiateng Liu, Lin Ai, Zizhou Liu, Payam Karisani, Zheng Hui, Yi Fung, Preslav Nakov, Julia Hirschberg, Heng Ji:
PropaInsight: Toward Deeper Understanding of Propaganda in Terms of Techniques, Appeals, and Intent. COLING 2025: 5607-5628 - [c26]Shujin Wu, Yi R. Fung, Cheng Qian, Jeonghwan Kim, Dilek Hakkani-Tur, Heng Ji:
Aligning LLMs with Individual Preferences via Interaction. COLING 2025: 7648-7662 - [c25]Yumeng Wang, Zhiyuan Fan, Qingyun Wang, Yi R. Fung, Heng Ji:
CALM: Unleashing the Cross-Lingual Self-Aligning Ability of Language Model Question Answering. NAACL (Findings) 2025: 2809-2817 - [i46]Minseok Jung, Cynthia Fuertes Panizo, Liam Dugan, Yi R. Fung, Pin-Yu Chen, Paul Pu Liang:
Group-Adaptive Threshold Optimization for Robust AI-Generated Text Detection. CoRR abs/2502.04528 (2025) - [i45]Jianshu Zhang
, Dongyu Yao, Renjie Pi, Paul Pu Liang, Yi R. Fung:
VLM2-Bench: A Closer Look at How Well VLMs Implicitly Link Explicit Matching Visual Cues. CoRR abs/2502.12084 (2025) - [i44]Yuji Zhang, Sha Li, Cheng Qian, Jiateng Liu, Pengfei Yu, Chi Han, Yi R. Fung, Kathleen McKeown, Chengxiang Zhai, Manling Li, Heng Ji:
The Law of Knowledge Overshadowing: Towards Understanding, Predicting, and Preventing LLM Hallucination. CoRR abs/2502.16143 (2025) - [i43]Hengzhi Li, Megan Tjandrasuwita, Yi R. Fung, Armando Solar-Lezama, Paul Pu Liang:
MimeQA: Towards Socially-Intelligent Nonverbal Foundation Models. CoRR abs/2502.16671 (2025) - [i42]Zeyu Qin, Qingxiu Dong, Xingxing Zhang, Li Dong, Xiaolong Huang, Ziyi Yang, Mahmoud Khademi, Dongdong Zhang, Hany Hassan Awadalla, Yi R. Fung, Weizhu Chen, Minhao Cheng, Furu Wei:
Scaling Laws of Synthetic Data for Language Models. CoRR abs/2503.19551 (2025) - [i41]Shujin Wu, Cheng Qian, Yi R. Fung, Paul Pu Liang, Heng Ji:
Alice: Proactive Learning with Teacher's Demonstrations for Weak-to-Strong Generalization. CoRR abs/2504.07316 (2025) - [i40]Jaewoo Lee, Keyang Xuan, Chanakya Ekbote, Sandeep Polisetty, Yi R. Fung, Paul Pu Liang:
TAMP: Token-Adaptive Layerwise Pruning in Multimodal Large Language Models. CoRR abs/2504.09897 (2025) - [i39]Zhiyuan Fan, Yumeng Wang, Sandeep Polisetty, Yi R. Fung:
V2R-Bench: Holistically Evaluating LVLM Robustness to Fundamental Visual Variations. CoRR abs/2504.16727 (2025) - [i38]Yiming Huang, Junyan Zhang, Zihao Wang, Biquan Bie, Xuming Hu, Yi R. (May) Fung, Xinlei He:
RePPL: Recalibrating Perplexity by Uncertainty in Semantic Propagation and Language Generation for Explainable QA Hallucination Detection. CoRR abs/2505.15386 (2025) - [i37]Shijue Huang, Hongru Wang, Wanjun Zhong, Zhaochen Su, Jiazhan Feng, Bowen Cao, Yi R. (May) Fung:
AdaCtrl: Towards Adaptive and Controllable Reasoning via Difficulty-Aware Budgeting. CoRR abs/2505.18822 (2025) - [i36]Zhitao He, Sandeep Polisetty, Zhiyuan Fan, Yuchen Huang, Shujin Wu, Yi R. Fung:
MMBoundary: Advancing MLLM Knowledge Boundary Awareness through Reasoning Step Confidence Calibration. CoRR abs/2505.23224 (2025) - [i35]Ruida Wang, Yuxin Li, Yi R. (May) Fung, Tong Zhang:
Let's Reason Formally: Natural-Formal Hybrid Reasoning Enhances LLM's Math Capability. CoRR abs/2505.23703 (2025) - [i34]Minghao Liu, Zhitao He, Zhiyuan Fan, Qingyun Wang, Yi R. Fung:
MedEBench: Revisiting Text-instructed Image Editing on Medical Domain. CoRR abs/2506.01921 (2025) - [i33]Zhitao He, Zongwei Lyu, Dazhong Chen, Dadi Guo, Yi R. Fung:
MATP-BENCH: Can MLLM Be a Good Automated Theorem Prover for Multimodal Problems? CoRR abs/2506.06034 (2025) - [i32]Dadi Guo, Jiayu Liu, Zhiyuan Fan, Zhitao He, Haoran Li, Yumeng Wang, Yi R. Fung:
Mathematical Proof as a Litmus Test: Revealing Failure Modes of Advanced Large Reasoning Models. CoRR abs/2506.17114 (2025) - [i31]Zhaochen Su, Peng Xiang, Hangyu Guo, Zhenhua Liu, Yan Ma, Xiaoye Qu, Jiaqi Liu, Yanshu Li, Kaide Zeng, Zhengyuan Yang, Linjie Li, Yu Cheng, Heng Ji, Junxian He, Yi R. (May) Fung:
Thinking with Images for Multimodal Reasoning: Foundations, Methods, and Future Frontiers. CoRR abs/2506.23918 (2025) - [i30]Yuchen Huang, Zhiyuan Fan, Zhitao He, Sandeep Polisetty, Wenyan Li, Yi R. Fung:
CultureCLIP: Empowering CLIP with Cultural Awareness through Synthetic Images and Contextualized Captions. CoRR abs/2507.06210 (2025) - [i29]Xinyi Liu, Dachun Sun, Yi R. Fung, Dilek Hakkani-Tür, Tarek F. Abdelzaher:
DocCHA: Towards LLM-Augmented Interactive Online diagnosis System. CoRR abs/2507.07870 (2025) - [i28]Yumeng Wang, Zhiyuan Fan, Jiayu Liu, Yi R. (May) Fung:
Diversity-Enhanced Reasoning for Subjective Questions. CoRR abs/2507.20187 (2025) - 2024
- [c24]Kung-Hsiang Huang, Mingyang Zhou, Hou Pong Chan, Yi Fung, Zhenhailong Wang, Lingyu Zhang, Shih-Fu Chang, Heng Ji:
Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning. ACL (Findings) 2024: 730-749 - [c23]Chi Han, Jialiang Xu, Manling Li, Yi Fung, Chenkai Sun, Nan Jiang, Tarek F. Abdelzaher, Heng Ji:
Word Embeddings Are Steers for Language Models. ACL (1) 2024: 16410-16430 - [c22]Yi Ren Fung, Anoop Kumar, Aram Galstyan, Heng Ji, Prem Natarajan:
Agenda-Driven Question Generation: A Case Study in the Courtroom Domain. LREC/COLING 2024: 572-583 - [c21]Shujin Wu, Yi Fung, Sha Li, Yixin Wan, Kai-Wei Chang, Heng Ji:
MACAROON: Training Vision-Language Models To Be Your Engaged Partners. EMNLP (Findings) 2024: 7715-7731 - [c20]Lifan Yuan, Yangyi Chen, Xingyao Wang, Yi Fung, Hao Peng, Heng Ji:
CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets. ICLR 2024 - [c19]Hanning Zhang, Shizhe Diao, Yong Lin, Yi R. Fung, Qing Lian, Xingyao Wang, Yangyi Chen, Heng Ji, Tong Zhang:
R-Tuning: Instructing Large Language Models to Say 'I Don't Know'. NAACL-HLT 2024: 7113-7139 - [i27]Ke Yang, Jiateng Liu, John Wu, Chaoqi Yang, Yi R. Fung, Sha Li, Zixuan Huang, Xu Cao, Xingyao Wang, Yiquan Wang, Heng Ji, Chengxiang Zhai:
If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents. CoRR abs/2401.00812 (2024) - [i26]Yi Fung, Ruining Zhao, Jae Doo, Chenkai Sun, Heng Ji:
Massively Multi-Cultural Knowledge Acquisition & LM Benchmarking. CoRR abs/2402.09369 (2024) - [i25]Chenkai Sun, Ke Yang, Revanth Gangi Reddy, Yi R. Fung, Hou Pong Chan, ChengXiang Zhai, Heng Ji:
Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement. CoRR abs/2402.11060 (2024) - [i24]Keyang Xuan, Li Yi, Fan Yang, Ruochen Wu, Yi R. Fung, Heng Ji:
LEMMA: Towards LVLM-Enhanced Multimodal Misinformation Detection with External Knowledge Augmentation. CoRR abs/2402.11943 (2024) - [i23]Kung-Hsiang Huang, Hou Pong Chan, Yi Ren Fung, Haoyi Qiu, Mingyang Zhou, Shafiq Joty, Shih-Fu Chang, Heng Ji:
From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models. CoRR abs/2403.12027 (2024) - [i22]Shujin Wu, Yi R. Fung, Sha Li, Yixin Wan, Kai-Wei Chang, Heng Ji:
MACAROON: Training Vision-Language Models To Be Your Engaged Partners. CoRR abs/2406.14137 (2024) - [i21]Yuji Zhang, Sha Li, Jiateng Liu, Pengfei Yu, Yi R. Fung, Jing Li, Manling Li, Heng Ji:
Knowledge Overshadowing Causes Amalgamated Hallucination in Large Language Models. CoRR abs/2407.08039 (2024) - [i20]Jiayi He, Hehai Lin, Qingyun Wang, Yi Fung, Heng Ji:
Self-Correction is More than Refinement: A Learning Framework for Visual and Language Reasoning Tasks. CoRR abs/2410.04055 (2024) - 2023
- [c18]Ke Yang, Charles Yu, Yi Ren Fung, Manling Li, Heng Ji:
ADEPT: A DEbiasing PrompT Framework. AAAI 2023: 10780-10788 - [c17]Mingyang Zhou, Yi Ren Fung, Long Chen, Christopher Thomas, Heng Ji, Shih-Fu Chang:
Enhanced Chart Understanding via Visual Language Pre-training on Plot Table Pairs. ACL (Findings) 2023: 1314-1326 - [c16]Yi Fung, Han Wang, Tong Wang, Ali Kebarighotbi, Mohit Bansal, Heng Ji, Prem Natarajan:
DeepMaven: Deep Question Answering on Long-Distance Movie/TV Show Videos with Multimedia Knowledge Extraction and Synthesis. EACL 2023: 3033-3043 - [c15]Chenkai Sun, Jinning Li, Yi Ren Fung, Hou Pong Chan, Tarek F. Abdelzaher, ChengXiang Zhai, Heng Ji:
Decoding the Silent Majority: Inducing Belief Augmented Social Graph with Large Language Model for Response Forecasting. EMNLP 2023: 43-57 - [c14]Cheng Qian, Chi Han, Yi Ren Fung, Yujia Qin, Zhiyuan Liu, Heng Ji:
CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language Models. EMNLP (Findings) 2023: 6922-6939 - [c13]Sha Li, Chi Han, Pengfei Yu, Carl Edwards, Manling Li, Xingyao Wang, Yi Ren Fung, Charles Yu, Joel R. Tetreault, Eduard H. Hovy, Heng Ji:
Defining a New NLP Playground. EMNLP (Findings) 2023: 11932-11951 - [c12]Yi Fung, Tuhin Chakrabarty, Hao Guo, Owen Rambow, Smaranda Muresan, Heng Ji:
NORMSAGE: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Fly. EMNLP 2023: 15217-15230 - [c11]Genglin Liu, Yi Fung, Heng Ji:
NLUBot101 at SemEval-2023 Task 3: An Augmented Multilingual NLI Approach Towards Online News Persuasion Techniques Detection. SemEval@ACL 2023: 1636-1643 - [i19]Sandeep Polisetty, Juelin Liu, Kobi Falus, Yi Ren Fung, Seung-Hwan Lim, Hui Guan, Marco Serafini:
GSplit: Scaling Graph Neural Network Training on Large Graphs via Split-Parallelism. CoRR abs/2303.13775 (2023) - [i18]Revanth Gangi Reddy, Yi R. Fung, Qi Zeng, Manling Li, Ziqi Wang, Paul Sullivan, Heng Ji:
SmartBook: AI-Assisted Situation Report Generation. CoRR abs/2303.14337 (2023) - [i17]Yujia Qin, Shengding Hu, Yankai Lin, Weize Chen, Ning Ding, Ganqu Cui, Zheni Zeng, Yufei Huang, Chaojun Xiao, Chi Han, Yi Ren Fung, Yusheng Su, Huadong Wang, Cheng Qian, Runchu Tian, Kunlun Zhu, Shihao Liang, Xingyu Shen, Bokai Xu, Zhen Zhang, Yining Ye, Bowen Li, Ziwei Tang, Jing Yi, Yuzhang Zhu, Zhenning Dai, Lan Yan, Xin Cong, Yaxi Lu, Weilin Zhao, Yuxiang Huang, Junxi Yan, Xu Han, Xian Sun, Dahai Li, Jason Phang, Cheng Yang, Tongshuang Wu, Heng Ji, Zhiyuan Liu, Maosong Sun:
Tool Learning with Foundation Models. CoRR abs/2304.08354 (2023) - [i16]Chi Han, Jialiang Xu, Manling Li, Yi Fung, Chenkai Sun, Nan Jiang, Tarek F. Abdelzaher, Heng Ji:
LM-Switch: Lightweight Language Model Conditioning in Word Embedding Space. CoRR abs/2305.12798 (2023) - [i15]Cheng Qian, Chi Han, Yi R. Fung, Yujia Qin, Zhiyuan Liu, Heng Ji:
CREATOR: Disentangling Abstract and Concrete Reasonings of Large Language Models through Tool Creation. CoRR abs/2305.14318 (2023) - [i14]Mingyang Zhou, Yi R. Fung, Long Chen, Christopher Thomas, Heng Ji, Shih-Fu Chang:
Enhanced Chart Understanding in Vision and Language Task via Cross-modal Pre-training on Plot Table Pairs. CoRR abs/2305.18641 (2023) - [i13]Lifan Yuan, Yangyi Chen, Xingyao Wang, Yi R. Fung, Hao Peng, Heng Ji:
CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets. CoRR abs/2309.17428 (2023) - [i12]Chenkai Sun, Jinning Li, Yi R. Fung, Hou Pong Chan, Tarek F. Abdelzaher, ChengXiang Zhai, Heng Ji:
Decoding the Silent Majority: Inducing Belief Augmented Social Graph with Large Language Model for Response Forecasting. CoRR abs/2310.13297 (2023) - [i11]Sha Li, Chi Han, Pengfei Yu, Carl Edwards, Manling Li, Xingyao Wang, Yi R. Fung, Charles Yu, Joel R. Tetreault, Eduard H. Hovy, Heng Ji:
Defining a New NLP Playground. CoRR abs/2310.20633 (2023) - [i10]Hanning Zhang, Shizhe Diao, Yong Lin, Yi R. Fung, Qing Lian, Xingyao Wang, Yangyi Chen, Heng Ji, Tong Zhang:
R-Tuning: Teaching Large Language Models to Refuse Unknown Questions. CoRR abs/2311.09677 (2023) - [i9]Kung-Hsiang Huang, Mingyang Zhou, Hou Pong Chan, Yi R. Fung, Zhenhailong Wang, Lingyu Zhang, Shih-Fu Chang, Heng Ji:
Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning. CoRR abs/2312.10160 (2023) - 2022
- [j1]Lihui Liu, Ruining Zhao, Boxin Du, Yi Ren Fung, Heng Ji, Jiejun Xu, Hanghang Tong:
Knowledge Graph Comparative Reasoning for Fact Checking: Problem Definition and Algorithms. IEEE Data Eng. Bull. 45(4): 19-38 (2022) - [c10]Revanth Gangi Reddy, Sai Chetan Chinthakindi, Yi R. Fung, Kevin Small, Heng Ji:
A Zero-Shot Claim Detection Framework Using Question Answering. COLING 2022: 6927-6933 - [c9]Revanth Gangi Reddy, Sai Chetan Chinthakindi, Zhenhailong Wang, Yi R. Fung, Kathryn Conger, Ahmed Elsayed, Martha Palmer, Preslav Nakov, Eduard H. Hovy, Kevin Small, Heng Ji:
NewsClaims: A New Benchmark for Claim Detection from News with Attribute Knowledge. EMNLP 2022: 6002-6018 - [c8]Yi R. Fung, Kung-Hsiang Huang, Preslav Nakov, Heng Ji:
The Battlefront of Combating Misinformation and Coping with Media Bias. KDD 2022: 4790-4791 - [c7]Xueqing Wu, Kung-Hsiang Huang, Yi R. Fung, Heng Ji:
Cross-document Misinformation Detection based on Event Graph Reasoning. NAACL-HLT 2022: 543-558 - [i8]Yi R. Fung, Heng Ji:
A Weibo Dataset for the 2022 Russo-Ukrainian Crisis. CoRR abs/2203.05967 (2022) - [i7]Yi R. Fung, Tuhin Chakraborty, Hao Guo, Owen Rambow, Smaranda Muresan, Heng Ji:
NormSAGE: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Fly. CoRR abs/2210.08604 (2022) - [i6]Ke Yang, Charles Yu, Yi R. Fung, Manling Li, Heng Ji:
ADEPT: A DEbiasing PrompT Framework. CoRR abs/2211.05414 (2022) - 2021
- [c6]Yi R. Fung, Christopher Thomas, Revanth Gangi Reddy, Sandeep Polisetty, Heng Ji, Shih-Fu Chang, Kathleen R. McKeown, Mohit Bansal, Avi Sil:
InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection. ACL/IJCNLP (1) 2021: 1683-1698 - [c5]Lihui Liu, Boxin Du, Yi Ren Fung, Heng Ji, Jiejun Xu, Hanghang Tong:
KompaRe: A Knowledge Graph Comparative Reasoning System. KDD 2021: 3308-3318 - [c4]Qingyun Wang, Manling Li, Xuan Wang, Nikolaus Nova Parulian, Guangxing Han, Jiawei Ma, Jingxuan Tu, Ying Lin, Haoran Zhang, Weili Liu, Aabhas Chauhan, Yingjun Guan, Bangzheng Li, Ruisong Li, Xiangchen Song, Yi R. Fung, Heng Ji, Jiawei Han, Shih-Fu Chang, James Pustejovsky, Jasmine Rah, David Liem, Ahmed Elsayed, Martha Palmer, Clare R. Voss, Cynthia Schneider, Boyan A. Onyshkevych:
COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation. NAACL-HLT (Demonstrations) 2021: 66-77 - [c3]Haoyang Wen, Ying Lin, Tuan Manh Lai, Xiaoman Pan, Sha Li, Xudong Lin, Ben Zhou, Manling Li, Haoyu Wang, Hongming Zhang, Xiaodong Yu, Alexander Dong, Zhenhailong Wang, Yi Ren Fung, Piyush Mishra, Qing Lyu, Dídac Surís, Brian Chen, Susan Windisch Brown, Martha Palmer, Chris Callison-Burch, Carl Vondrick, Jiawei Han, Dan Roth, Shih-Fu Chang, Heng Ji:
RESIN: A Dockerized Schema-Guided Cross-document Cross-lingual Cross-media Information Extraction and Event Tracking System. NAACL-HLT (Demonstrations) 2021: 133-143 - [i5]Revanth Gangi Reddy, Sai Chetan Chinthakindi, Zhenhailong Wang, Yi R. Fung, Kathryn S. Conger, Ahmed S. Elsayed, Martha Palmer, Heng Ji:
NewsClaims: A New Benchmark for Claim Detection from News with Background Knowledge. CoRR abs/2112.08544 (2021) - 2020
- [i4]Spencer Whitehead, Hui Wu, Yi Ren Fung, Heng Ji, Rogério Schmidt Feris, Kate Saenko:
Learning from Lexical Perturbations for Consistent Visual Question Answering. CoRR abs/2011.13406 (2020)
2010 – 2019
- 2019
- [c2]Surya Teja Devarakonda, Yeahuay Joie Wu, Yi Ren Fung, Madalina Fiterau:
FLARe: Forecasting by Learning Anticipated Representations. MLHC 2019: 53-65 - [i3]Ziqiang Guan, Ritesh Kumar, Yi Ren Fung, Yeahuay Wu, Madalina Fiterau:
A Comprehensive Study of Alzheimer's Disease Classification Using Convolutional Neural Networks. CoRR abs/1904.07950 (2019) - [i2]Yi Ren Fung, Ziqiang Guan, Ritesh Kumar, Yeahuay Joie Wu, Madalina Fiterau:
Alzheimer's Disease Brain MRI Classification: Challenges and Insights. CoRR abs/1906.04231 (2019) - [i1]Richard G. Freedman, Yi Ren Fung, Roman Ganchin, Shlomo Zilberstein:
Responsive Planning and Recognition for Closed-Loop Interaction. CoRR abs/1909.06427 (2019) - 2018
- [c1]Richard G. Freedman, Yi Ren Fung, Roman Ganchin, Shlomo Zilberstein:
Towards Quicker Probabilistic Recognition with Multiple Goal Heuristic Search. AAAI Workshops 2018: 601-606
Coauthor Index
[j2] [c34] [c29] [c28] [c27] [c26] [c25] [i44] [i41] [i31] [c24] [c23] [c22] [c21] [c20] [c19] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [j1] [c10] [c9] [c8] [c7] [i8] [i7] [i6] [c6] [c5] [c4] [c3] [i5] [i4]
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