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ORCIDDi Jin
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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Other persons with the same name
- Di Jin 0001
![[0000-0002-7445-9936]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-7445-9936")
— Tianjin University, College of Intelligence and Computing, China (and 1 more) - Di Jin 0002 — Technical University of Darmstadt, Germany
- Di Jin 0003 — University of Michigan, USA (and 1 more)
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2020 – today
- 2025
[i49]Di Jin, Xing Liu, Yu Liu, Jia Qing Yap, Andrea Wong, Adriana Crespo, Qi Lin, Zhiyuan Yin, Qiang Yan, Ryan Ye:
INFELM: In-depth Fairness Evaluation of Large Text-To-Image Models. CoRR abs/2501.01973 (2025)- 2024
- [j24]Wenqi Jiang, Jinyang Li, Di Jin, Hang Zhang, Zhiyue Zuo, Ying Guo:
Withstanding detector attacks in continuous-variable quantum key distribution via mean-restricted unary linear regression. Quantum Inf. Process. 23(2): 59 (2024) - [j23]Koichiro Yoshino, Yun-Nung Chen, Paul A. Crook, Satwik Kottur, Jinchao Li, Behnam Hedayatnia, Seungwhan Moon, Zhengcong Fei, Zekang Li, Jinchao Zhang, Yang Feng, Jie Zhou, Seokhwan Kim, Yang Liu, Di Jin, Alexandros Papangelis, Karthik Gopalakrishnan, Dilek Hakkani-Tur, Babak Damavandi, Alborz Geramifard, Chiori Hori, Ankit Shah, Chen Zhang, Haizhou Li, João Sedoc, Luis F. D'Haro, Rafael E. Banchs, Alexander Rudnicky:
Overview of the Tenth Dialog System Technology Challenge: DSTC10. IEEE ACM Trans. Audio Speech Lang. Process. 32: 765-778 (2024) - [c57]Zhiyang Xu, Chao Feng, Rulin Shao, Trevor Ashby, Ying Shen, Di Jin, Yu Cheng, Qifan Wang, Lifu Huang:
Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning. ACL (Findings) 2024: 15271-15342 - [c56]Yu Li, Devamanyu Hazarika, Di Jin, Julia Hirschberg, Yang Liu:
From Pixels to Personas: Investigating and Modeling Self-Anthropomorphism in Human-Robot Dialogues. EMNLP (Findings) 2024: 9695-9713 - [c55]Di Jin, Alexander J. Gaidis, Vasileios P. Kemerlis:
BeeBox: Hardening BPF against Transient Execution Attacks. USENIX Security Symposium 2024 - [i48]Zhiyang Xu, Chao Feng, Rulin Shao, Trevor Ashby, Ying Shen, Di Jin, Yu Cheng, Qifan Wang, Lifu Huang:
Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning. CoRR abs/2402.11690 (2024) - [i47]Ce Chi, Xing Wang, Kexin Yang, Zhiyan Song, Di Jin, Lin Zhu, Chao Deng, Junlan Feng:
InjectTST: A Transformer Method of Injecting Global Information into Independent Channels for Long Time Series Forecasting. CoRR abs/2403.02814 (2024) - [i46]Tengyu Xu, Eryk Helenowski, Karthik Abinav Sankararaman, Di Jin, Kaiyan Peng, Eric Han, Shaoliang Nie, Chen Zhu, Hejia Zhang, Wenxuan Zhou, Zhouhao Zeng, Yun He, Karishma Mandyam, Arya Talabzadeh, Madian Khabsa, Gabriel Cohen, Yuandong Tian, Hao Ma, Sinong Wang, Han Fang:
The Perfect Blend: Redefining RLHF with Mixture of Judges. CoRR abs/2409.20370 (2024) - [i45]Yu Li, Devamanyu Hazarika, Di Jin, Julia Hirschberg, Yang Liu:
From Pixels to Personas: Investigating and Modeling Self-Anthropomorphism in Human-Robot Dialogues. CoRR abs/2410.03870 (2024) - [i44]Jingyuan Qi, Zhiyang Xu, Rulin Shao, Yang Chen, Di Jin, Yu Cheng, Qifan Wang, Lifu Huang:
RoRA-VLM: Robust Retrieval-Augmented Vision Language Models. CoRR abs/2410.08876 (2024) - [i43]Yun He, Di Jin, Chaoqi Wang, Chloe Bi, Karishma Mandyam, Hejia Zhang, Chen Zhu, Ning Li, Tengyu Xu, Hongjiang Lv, Shruti Bhosale, Chenguang Zhu, Karthik Abinav Sankararaman, Eryk Helenowski, Melanie Kambadur, Aditya Tayade, Hao Ma, Han Fang, Sinong Wang:
Multi-IF: Benchmarking LLMs on Multi-Turn and Multilingual Instructions Following. CoRR abs/2410.15553 (2024) - [i42]Yiqing Xie, Wenxuan Zhou, Pradyot Prakash, Di Jin, Yuning Mao, Quintin Fettes, Arya Talebzadeh, Sinong Wang, Han Fang, Carolyn P. Rosé, Daniel Fried, Hejia Zhang:
Improving Model Factuality with Fine-grained Critique-based Evaluator. CoRR abs/2410.18359 (2024) - [i41]Haochen Zhao, Xiangru Tang, Ziran Yang, Xiao Han, Xuanzhi Feng, Yueqing Fan, Senhao Cheng, Di Jin, Yilun Zhao, Arman Cohan, Mark Gerstein:
ChemSafetyBench: Benchmarking LLM Safety on Chemistry Domain. CoRR abs/2411.16736 (2024) - 2023
- [j22]Jia-Xu Liu, Jie-Sheng Wang, Guan Wang, Xiao-rui Zhao, Hong-Yu Wang, Di Jin:
Exponent and Logarithm Component-Wise Construction Method of FCM Clustering Validity Function Based on Subjective and Objective Weighting. Int. J. Fuzzy Syst. 25(2): 647-669 (2023) - [j21]Dongtai Liang, Yongfei Feng, Shengye Yang, Min Tang, Liangda Wu, Di Jin, Luige Vladareanu:
Kinematic Analysis of the variable Height rotating Mechanism for End-Traction upper limb Rehabilitation robot. Int. J. Robotics Autom. 38(2): 85-96 (2023) - [j20]Junkai Hu, Jiayang Wu, Di Jin, Sai T. Chu, Brent E. Little, Duan Huang, Roberto Morandotti, David J. Moss:
Thermo-Optic Response and Optical Bistablility of Integrated High-Index Doped Silica Ring Resonators. Sensors 23(24): 9767 (2023) - [j19]Yifan Chen, Tianning Xu, Dilek Hakkani-Tur, Di Jin, Yun Yang, Ruoqing Zhu:
Calibrate and Debias Layer-wise Sampling for Graph Convolutional Networks. Trans. Mach. Learn. Res. 2023 (2023) - [c54]Sijia Liu, Patrick Lange, Behnam Hedayatnia, Alexandros Papangelis, Di Jin, Andrew Wirth, Yang Liu, Dilek Hakkani-Tur:
Towards Credible Human Evaluation of Open-Domain Dialog Systems Using Interactive Setup. AAAI 2023: 13264-13272 - [c53]Yen Ting Lin, Alexandros Papangelis, Seokhwan Kim, Sungjin Lee, Devamanyu Hazarika, Mahdi Namazifar, Di Jin, Yang Liu, Dilek Hakkani-Tur:
Selective In-Context Data Augmentation for Intent Detection using Pointwise V-Information. EACL 2023: 1455-1468 - [c52]Jingyuan Qi, Zhiyang Xu, Ying Shen, Minqian Liu, Di Jin, Qifan Wang, Lifu Huang:
The Art of SOCRATIC QUESTIONING: Recursive Thinking with Large Language Models. EMNLP 2023: 4177-4199 - [c51]Nicholas Meade, Spandana Gella, Devamanyu Hazarika, Prakhar Gupta, Di Jin, Siva Reddy, Yang Liu, Dilek Hakkani-Tur:
Using In-Context Learning to Improve Dialogue Safety. EMNLP (Findings) 2023: 11882-11910 - [c50]Prakhar Gupta, Yang Liu, Di Jin, Behnam Hedayatnia, Spandana Gella, Sijia Liu, Patrick Lange, Julia Hirschberg, Dilek Hakkani-Tur:
DialGuide: Aligning Dialogue Model Behavior with Developer Guidelines. EMNLP (Findings) 2023: 14031-14047 - [c49]Yingjie Xue, Di Jin, Maurice Herlihy:
Invited Paper: Fault-tolerant and Expressive Cross-Chain Swaps. ICDCN 2023: 28-37 - [c48]Mingyu Derek Ma, Jiun-Yu Kao, Shuyang Gao, Arpit Gupta, Di Jin, Tagyoung Chung, Nanyun Peng:
Parameter-Efficient Low-Resource Dialogue State Tracking by Prompt Tuning. INTERSPEECH 2023: 4653-4657 - [c47]Yang Lan, Di Jin, Zhun Wang, Wende Tan, Zheyu Ma, Chao Zhang:
Thunderkaller: Profiling and Improving the Performance of Syzkaller. ASE 2023: 1567-1578 - [c46]Chao Zhao, Spandana Gella, Seokhwan Kim, Di Jin, Devamanyu Hazarika, Alexandros Papangelis, Behnam Hedayatnia, Mahdi Namazifar, Yang Liu, Dilek Hakkani-Tur:
"What do others think?": Task-Oriented Conversational Modeling with Subjective Knowledge. SIGDIAL 2023: 309-323 - [c45]Vishakh Padmakumar, Behnam Hedayatnia, Di Jin, Patrick Lange, Seokhwan Kim, Nanyun Peng, Yang Liu, Dilek Hakkani-Tur:
Investigating the Representation of Open Domain Dialogue Context for Transformer Models. SIGDIAL 2023: 538-547 - [c44]Sarik Ghazarian, Behnam Hedayatnia, Di Jin, Sijia Liu, Nanyun Peng, Yang Liu, Dilek Hakkani-Tur:
MERCY: Multiple Response Ranking Concurrently in Realistic Open-Domain Conversational Systems. SIGDIAL 2023: 615-631 - [c43]Di Jin, Vaggelis Atlidakis, Vasileios P. Kemerlis:
EPF: Evil Packet Filter. USENIX ATC 2023: 735-751 - [c42]Neophytos Christou, Di Jin, Vaggelis Atlidakis, Baishakhi Ray, Vasileios P. Kemerlis:
IvySyn: Automated Vulnerability Discovery in Deep Learning Frameworks. USENIX Security Symposium 2023: 2383-2400 - [i40]Mingyu Derek Ma, Jiun-Yu Kao, Shuyang Gao, Arpit Gupta, Di Jin, Tagyoung Chung, Nanyun Peng:
Parameter-Efficient Low-Resource Dialogue State Tracking by Prompt Tuning. CoRR abs/2301.10915 (2023) - [i39]Nicholas Meade, Spandana Gella, Devamanyu Hazarika, Prakhar Gupta, Di Jin, Siva Reddy, Yang Liu, Dilek Hakkani-Tür:
Using In-Context Learning to Improve Dialogue Safety. CoRR abs/2302.00871 (2023) - [i38]Yen-Ting Lin, Alexandros Papangelis, Seokhwan Kim, Sungjin Lee, Devamanyu Hazarika, Mahdi Namazifar, Di Jin, Yang Liu, Dilek Hakkani-Tur:
Selective In-Context Data Augmentation for Intent Detection using Pointwise V-Information. CoRR abs/2302.05096 (2023) - [i37]Chao Zhao, Spandana Gella, Seokhwan Kim, Di Jin, Devamanyu Hazarika, Alexandros Papangelis, Behnam Hedayatnia, Mahdi Namazifar, Yang Liu, Dilek Hakkani-Tur:
"What do others think?": Task-Oriented Conversational Modeling with Subjective Knowledge. CoRR abs/2305.12091 (2023) - [i36]Jingyuan Qi, Zhiyang Xu, Ying Shen, Minqian Liu, Di Jin, Qifan Wang, Lifu Huang:
The Art of SOCRATIC QUESTIONING: Zero-shot Multimodal Reasoning with Recursive Thinking and Self-Questioning. CoRR abs/2305.14999 (2023) - [i35]Di Jin, Shikib Mehri, Devamanyu Hazarika, Aishwarya Padmakumar, Sungjin Lee, Yang Liu, Mahdi Namazifar:
Data-Efficient Alignment of Large Language Models with Human Feedback Through Natural Language. CoRR abs/2311.14543 (2023) - 2022
- [j18]Di Jin, Zhijing Jin, Zhiting Hu, Olga Vechtomova, Rada Mihalcea:
Deep Learning for Text Style Transfer: A Survey. Comput. Linguistics 48(1): 155-205 (2022) - [j17]Xinchao Ruan, Hang Zhang, Wei Zhao, Di Jin, Zhipeng Wang, Ying Guo:
Orbital angular momentum-encoded quantum digital signature over atmospheric channel. Quantum Inf. Process. 21(5): 191 (2022) - [j16]Di Jin, Shuyang Gao, Seokhwan Kim, Yang Liu, Dilek Hakkani-Tür:
Towards Textual Out-of-Domain Detection Without In-Domain Labels. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1386-1395 (2022) - [c41]Ramit Sawhney, Megh Thakkar, Shrey Pandit, Ritesh Soun, Di Jin, Diyi Yang, Lucie Flek:
DMix: Adaptive Distance-aware Interpolative Mixup. ACL (2) 2022: 606-612 - [c40]Hyounghun Kim, Aishwarya Padmakumar, Di Jin, Mohit Bansal, Dilek Hakkani-Tur:
On the Limits of Evaluating Embodied Agent Model Generalization Using Validation Sets. Insights@ACL 2022: 113-118 - [c39]Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur:
Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning. EMNLP 2022: 793-808 - [c38]Di Jin, Chenhang Sun, Zhiyi Yang, Ruifa Cao, Zhigang Zhang:
Power Probabilistic Energy Flow Calculation for Integrated Energy System Considering Uncertainties of Renewable Energy Output and Load. HP3C 2022: 201-206 - [c37]Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur:
Empowering parameter-efficient transfer learning by recognizing the kernel structure in self-attention. NAACL-HLT (Findings) 2022: 1375-1388 - [c36]Sha Li, Mahdi Namazifar, Di Jin, Mohit Bansal, Heng Ji, Yang Liu, Dilek Hakkani-Tur:
Enhancing Knowledge Selection for Grounded Dialogues via Document Semantic Graphs. NAACL-HLT 2022: 2810-2823 - [c35]Yifan Chen, Qi Zeng, Dilek Hakkani-Tur, Di Jin, Heng Ji, Yun Yang:
Sketching as a Tool for Understanding and Accelerating Self-attention for Long Sequences. NAACL-HLT 2022: 5187-5199 - [c34]Behnam Hedayatnia, Di Jin, Yang Liu, Dilek Hakkani-Tur:
A Systematic Evaluation of Response Selection for Open Domain Dialogue. SIGDIAL 2022: 298-311 - [c33]Di Jin, Sijia Liu, Yang Liu, Dilek Hakkani-Tur:
Improving Bot Response Contradiction Detection via Utterance Rewriting. SIGDIAL 2022: 605-614 - [i34]Di Jin, Shuyang Gao, Seokhwan Kim, Yang Liu, Dilek Hakkani-Tur:
Towards Textual Out-of-Domain Detection without In-Domain Labels. CoRR abs/2203.11396 (2022) - [i33]Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur:
Empowering parameter-efficient transfer learning by recognizing the kernel structure in self-attention. CoRR abs/2205.03720 (2022) - [i32]Hyounghun Kim, Aishwarya Padmakumar, Di Jin, Mohit Bansal, Dilek Hakkani-Tur:
On the Limits of Evaluating Embodied Agent Model Generalization Using Validation Sets. CoRR abs/2205.09249 (2022) - [i31]Yifan Chen, Tianning Xu, Dilek Hakkani-Tur, Di Jin, Yun Yang, Ruoqing Zhu:
Calibrate and Debias Layer-wise Sampling for Graph Convolutional Networks. CoRR abs/2206.00583 (2022) - [i30]Sha Li, Mahdi Namazifar, Di Jin, Mohit Bansal, Heng Ji, Yang Liu, Dilek Hakkani-Tur:
Enhanced Knowledge Selection for Grounded Dialogues via Document Semantic Graphs. CoRR abs/2206.07296 (2022) - [i29]Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, Alex Wang, Alexandros Papangelis, Aman Madaan, Angelina McMillan-Major, Anna Shvets, Ashish Upadhyay, Bingsheng Yao, Bryan Wilie, Chandra Bhagavatula, Chaobin You, Craig Thomson, Cristina Garbacea, Dakuo Wang, Daniel Deutsch, Deyi Xiong, Di Jin, Dimitra Gkatzia, Dragomir R. Radev, Elizabeth Clark, Esin Durmus, Faisal Ladhak, Filip Ginter, Genta Indra Winata, Hendrik Strobelt, Hiroaki Hayashi, Jekaterina Novikova, Jenna Kanerva, Jenny Chim, Jiawei Zhou, Jordan Clive, Joshua Maynez, João Sedoc, Juraj Juraska, Kaustubh D. Dhole, Khyathi Raghavi Chandu, Laura Perez-Beltrachini, Leonardo F. R. Ribeiro, Lewis Tunstall, Li Zhang, Mahima Pushkarna, Mathias Creutz, Michael White, Mihir Sanjay Kale, Moussa Kamal Eddine, Nico Daheim, Nishant Subramani, Ondrej Dusek, Paul Pu Liang, Pawan Sasanka Ammanamanchi, Qi Zhu, Ratish Puduppully, Reno Kriz, Rifat Shahriyar, Ronald Cardenas, Saad Mahamood, Salomey Osei, Samuel Cahyawijaya, Sanja Stajner, Sébastien Montella, Shailza Jolly, Simon Mille, Tahmid Hasan, Tianhao Shen, Tosin P. AMahidewumi, Vikas Raunak, Vipul Raheja, Vitaly Nikolaev, Vivian Tsai, Yacine Jernite, Ying Xu, Yisi Sang, Yixin Liu, Yufang Hou:
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. CoRR abs/2206.11249 (2022) - [i28]Di Jin, Sijia Liu, Yang Liu, Dilek Hakkani-Tur:
Improving Bot Response Contradiction Detection via Utterance Rewriting. CoRR abs/2207.11862 (2022) - [i27]Behnam Hedayatnia, Di Jin, Yang Liu, Dilek Hakkani-Tur:
A Systematic Evaluation of Response Selection for Open Domain Dialogue. CoRR abs/2208.04379 (2022) - [i26]Neophytos Christou, Di Jin, Vaggelis Atlidakis, Baishakhi Ray, Vasileios P. Kemerlis:
IvySyn: Automated Vulnerability Discovery for Deep Learning Frameworks. CoRR abs/2209.14921 (2022) - [i25]Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur:
Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning. CoRR abs/2210.14469 (2022) - [i24]Yingjie Xue, Di Jin, Maurice Herlihy:
Invited Paper: Fault-tolerant and Expressive Cross-Chain Swaps. CoRR abs/2211.00208 (2022) - [i23]Prakhar Gupta, Yang Liu, Di Jin, Behnam Hedayatnia, Spandana Gella, Sijia Liu, Patrick Lange, Julia Hirschberg, Dilek Hakkani-Tur:
DialGuide: Aligning Dialogue Model Behavior with Developer Guidelines. CoRR abs/2212.10557 (2022) - 2021
- [j15]Xin Shu, Sameera Sansare, Di Jin, Xiangxiang Zeng, Kai-Yu Tong, Rishikesh Pandey, Renjie Zhou:
Artificial-Intelligence-Enabled Reagent-Free Imaging Hematology Analyzer. Adv. Intell. Syst. 3(8): 2000277 (2021) - [j14]Xin Shu, Sameera Sansare, Di Jin, Xiangxiang Zeng, Kai-Yu Tong, Rishikesh Pandey, Renjie Zhou:
Artificial-Intelligence-Enabled Reagent-Free Imaging Hematology Analyzer. Adv. Intell. Syst. 3(8): 2170060 (2021) - [j13]Yin Li, Yijun Wang, Yun Mao, Weishao Peng, Di Jin, Ying Guo:
Continuous-Variable Quantum Key Distribution Based on Heralded Hybrid Linear Amplifier with a Local Local Oscillator. Entropy 23(11): 1395 (2021) - [j12]Ramit Sawhney, Harshit Joshi, Saumya Gandhi, Di Jin, Rajiv Ratn Shah:
Robust suicide risk assessment on social media via deep adversarial learning. J. Am. Medical Informatics Assoc. 28(7): 1497-1506 (2021) - [j11]Di Jin, Qing Wang, Dezhi Peng, Jiajia Wang, Bijuan Li, Yating Cheng, Nanxun Mo, Xiaoyan Deng, Ran Tao:
Development and implementation of an LIS-based validation system for autoverification toward zero defects in the automated reporting of laboratory test results. BMC Medical Informatics Decis. Mak. 21(1): 174 (2021) - [j10]Joey Tianyi Zhou, Hao Zhang, Di Jin, Xi Peng:
Dual Adversarial Transfer for Sequence Labeling. IEEE Trans. Pattern Anal. Mach. Intell. 43(2): 434-446 (2021) - [c32]Di Jin, Seokhwan Kim, Dilek Hakkani-Tur:
Can I Be of Further Assistance? Using Unstructured Knowledge Access to Improve Task-oriented Conversational Modeling. DialDoc@ACL-IJCNLP 2021: 119-127 - [c31]Seokhwan Kim, Yang Liu, Di Jin, Alexandros Papangelis, Karthik Gopalakrishnan, Behnam Hedayatnia, Dilek Hakkani-Tür:
"How Robust R U?": Evaluating Task-Oriented Dialogue Systems on Spoken Conversations. ASRU 2021: 1147-1154 - [c30]Ramit Sawhney, Megh Thakkar, Shivam Agarwal, Di Jin, Diyi Yang, Lucie Flek:
HypMix: Hyperbolic Interpolative Data Augmentation. EMNLP (1) 2021: 9858-9868 - [c29]Yingru Liu, Yucheng Xing, Xuewen Yang, Xin Wang, Jing Shi, Di Jin, Zhaoyue Chen, Jacqueline Wu:
Continuous-Time Stochastic Differential Networks for Irregular Time Series Modeling. ICONIP (5) 2021: 343-351 - [i22]Matthew B. A. McDermott, Brendan Yap, Tzu-Ming Harry Hsu, Di Jin, Peter Szolovits:
Adversarial Contrastive Pre-training for Protein Sequences. CoRR abs/2102.00466 (2021) - [i21]Di Jin, Seokhwan Kim, Dilek Hakkani-Tür:
Can I Be of Further Assistance? Using Unstructured Knowledge Access to Improve Task-oriented Conversational Modeling. CoRR abs/2106.09174 (2021) - [i20]Di Jin, Shuyang Gao, Seokhwan Kim, Yang Liu, Dilek Hakkani-Tur:
Towards Zero and Few-shot Knowledge-seeking Turn Detection in Task-orientated Dialogue Systems. CoRR abs/2109.08820 (2021) - [i19]Seokhwan Kim, Yang Liu, Di Jin, Alexandros Papangelis, Karthik Gopalakrishnan, Behnam Hedayatnia, Dilek Hakkani-Tur:
"How Robust r u?": Evaluating Task-Oriented Dialogue Systems on Spoken Conversations. CoRR abs/2109.13489 (2021) - [i18]Di Jin, Elena Sergeeva, Wei-Hung Weng, Geeticka Chauhan, Peter Szolovits:
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View. CoRR abs/2112.02625 (2021) - [i17]Yifan Chen, Qi Zeng, Dilek Hakkani-Tur, Di Jin, Heng Ji, Yun Yang:
Sketching as a Tool for Understanding and Accelerating Self-attention for Long Sequences. CoRR abs/2112.05359 (2021) - 2020
- [j9]Di Jin, Peter Szolovits:
Advancing PICO element detection in biomedical text via deep neural networks. Bioinform. 36(12): 3856-3862 (2020) - [j8]Taihao Li, Di Jin, Cuifen Du, Xiumei Cao, Haige Chen, Jianshe Yan, Na Chen, Zhenyi Chen, Zhenzhen Feng, Shupeng Liu:
The image-based analysis and classification of urine sediments using a LeNet-5 neural network. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 8(1): 109-114 (2020) - [j7]Ioannis Agadakos, Nicholas DeMarinis, Di Jin, Kent Williams-King, Jearson Alfajardo, Benjamin Shteinfeld, David Williams-King, Vasileios P. Kemerlis, Georgios Portokalidis:
Large-scale Debloating of Binary Shared Libraries. DTRAP 1(4): 19:1-19:28 (2020) - [j6]Joey Tianyi Zhou, Hao Zhang, Di Jin, Xi Peng, Yang Xiao, Zhiguo Cao:
RoSeq: Robust Sequence Labeling. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2304-2314 (2020) - [c28]Di Jin, Shuyang Gao, Jiun-Yu Kao, Tagyoung Chung, Dilek Hakkani-Tür:
MMM: Multi-Stage Multi-Task Learning for Multi-Choice Reading Comprehension. AAAI 2020: 8010-8017 - [c27]Di Jin, Zhijing Jin, Joey Tianyi Zhou, Peter Szolovits:
Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment. AAAI 2020: 8018-8025 - [c26]Di Jin, Zhijing Jin, Joey Tianyi Zhou, Lisa Orii, Peter Szolovits:
Hooks in the Headline: Learning to Generate Headlines with Controlled Styles. ACL 2020: 5082-5093 - [c25]Ming Yan, Hao Zhang, Di Jin, Joey Tianyi Zhou:
Multi-source Meta Transfer for Low Resource Multiple-Choice Question Answering. ACL 2020: 7331-7341 - [c24]Zheng Li, Zhikang Shi, Xueyuan Huang, Di Jin, Chun Liu:
An Approach for Constructing Service Developers Oriented Heterogeneous Information Network. CIAT 2020: 236-243 - [c23]Amit Jindal, Arijit Ghosh Chowdhury, Aniket Didolkar, Di Jin, Ramit Sawhney, Rajiv Ratn Shah:
Augmenting NLP models using Latent Feature Interpolations. COLING 2020: 6931-6936 - [c22]Xuewen Yang, Heming Zhang, Di Jin, Yingru Liu, Chi-Hao Wu, Jianchao Tan, Dongliang Xie, Jue Wang, Xin Wang:
Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards. ECCV (13) 2020: 1-17 - [c21]John X. Morris, Eli Lifland, Jin Yong Yoo, Jake Grigsby, Di Jin, Yanjun Qi:
TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP. EMNLP (Demos) 2020: 119-126 - [c20]Xiaoyu Xing, Zhijing Jin, Di Jin, Bingning Wang, Qi Zhang, Xuanjing Huang:
Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis. EMNLP (1) 2020: 3594-3605 - [c19]Yuhong Li, Peng Zhang, Yingchao Zhou, Di Jin:
A Data Forwarding Mechanism based on Deep Reinforcement Learning for Deterministic Networks. INFOCOM Workshops 2020: 285-290 - [c18]Amit Jindal, Narayanan Elavathur Ranganatha, Aniket Didolkar, Arijit Ghosh Chowdhury, Di Jin, Ramit Sawhney, Rajiv Ratn Shah:
SpeechMix - Augmenting Deep Sound Recognition Using Hidden Space Interpolations. INTERSPEECH 2020: 861-865 - [c17]Yuhong Li, Di Jin, Bailin Wang, Xiang Su, Jukka Riekki, Chao Sun, Hanyu Wei, Hao Wang, Lei Han:
Predicting Internet of Things Data Traffic Through LSTM and Autoregressive Spectrum Analysis. NOMS 2020: 1-8 - [c16]Nicholas DeMarinis, Kent Williams-King, Di Jin, Rodrigo Fonseca, Vasileios P. Kemerlis:
sysfilter: Automated System Call Filtering for Commodity Software. RAID 2020: 459-474 - [i16]Di Jin, Zhijing Jin, Joey Tianyi Zhou, Peter Szolovits:
Unsupervised Domain Adaptation for Neural Machine Translation with Iterative Back Translation. CoRR abs/2001.08140 (2020) - [i15]Di Jin, Zhijing Jin, Joey Tianyi Zhou, Lisa Orii, Peter Szolovits:
Hooks in the Headline: Learning to Generate Headlines with Controlled Styles. CoRR abs/2004.01980 (2020) - [i14]Shuyang Gao, Sanchit Agarwal, Tagyoung Chung, Di Jin, Dilek Hakkani-Tür:
From Machine Reading Comprehension to Dialogue State Tracking: Bridging the Gap. CoRR abs/2004.05827 (2020) - [i13]Yingru Liu, Yucheng Xing, Xuewen Yang, Xin Wang, Di Jin, Jing Shi:
Learning Continuous-Time Dynamics by Stochastic Differential Networks. CoRR abs/2006.06145 (2020) - [i12]Yaman Kumar, Mehar Bhatia, Anubha Kabra, Junyi Jessy Li, Di Jin, Rajiv Ratn Shah:
Calling Out Bluff: Attacking the Robustness of Automatic Scoring Systems with Simple Adversarial Testing. CoRR abs/2007.06796 (2020) - [i11]Xuewen Yang, Heming Zhang, Di Jin, Yingru Liu, Chi-Hao Wu, Jianchao Tan, Dongliang Xie, Jue Wang, Xin Wang:
Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards. CoRR abs/2008.02693 (2020) - [i10]Xiaoyu Xing, Zhijing Jin, Di Jin, Bingning Wang, Qi Zhang, Xuanjing Huang:
Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis. CoRR abs/2009.07964 (2020) - [i9]Di Jin, Eileen Pan, Nassim Oufattole, Wei-Hung Weng, Hanyi Fang, Peter Szolovits:
What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams. CoRR abs/2009.13081 (2020) - [i8]Di Jin, Zhijing Jin, Zhiting Hu, Olga Vechtomova, Rada Mihalcea:
Deep Learning for Text Style Transfer: A Survey. CoRR abs/2011.00416 (2020)
2010 – 2019
- 2019
- [j5]Yongfei Feng, Hongbo Wang, Luige Vladareanu, Zheming Chen, Di Jin:
New Motion Intention Acquisition Method of Lower Limb Rehabilitation Robot Based on Static Torque Sensors. Sensors 19(15): 3439 (2019) - [c15]Joey Tianyi Zhou, Hao Zhang, Di Jin, Hongyuan Zhu, Meng Fang, Rick Siow Mong Goh, Kenneth Kwok:
Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition. ACL (1) 2019: 3461-3471 - [c14]Ioannis Agadakos, Di Jin, David Williams-King, Vasileios P. Kemerlis, Georgios Portokalidis:
Nibbler: debloating binary shared libraries. ACSAC 2019: 70-83 - [c13]Zhijing Jin, Di Jin, Jonas Mueller, Nicholas Matthews, Enrico Santus:
IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation. EMNLP/IJCNLP (1) 2019: 3095-3107 - [i7]Zhijing Jin, Di Jin, Jonas Mueller, Nicholas Matthews, Enrico Santus:
Unsupervised Text Style Transfer via Iterative Matching and Translation. CoRR abs/1901.11333 (2019) - [i6]Emily Alsentzer, John R. Murphy, Willie Boag, Wei-Hung Weng, Di Jin, Tristan Naumann, Matthew B. A. McDermott:
Publicly Available Clinical BERT Embeddings. CoRR abs/1904.03323 (2019) - [i5]Di Jin, Zhijing Jin, Joey Tianyi Zhou, Peter Szolovits:
Is BERT Really Robust? Natural Language Attack on Text Classification and Entailment. CoRR abs/1907.11932 (2019) - [i4]Di Jin, Shuyang Gao, Jiun-Yu Kao, Tagyoung Chung, Dilek Hakkani-Tür:
MMM: Multi-stage Multi-task Learning for Multi-choice Reading Comprehension. CoRR abs/1910.00458 (2019) - 2018
- [j4]Yuhong Li, Xinyue Shi, Anders Lindgren, Zhuo Hu, Peng Zhang, Di Jin, Yingchao Zhou:
Context-Aware Data Dissemination for ICN-Based Vehicular Ad Hoc Networks. Inf. 9(11): 263 (2018) - [c12]Michele Filannino, Kahyun Lee, Di Jin, Kevin Buchan, William Boag, Özlem Uzuner:
Precision Medicine: matching cancer patients with clinical trials. AMIA 2018 - [c11]Kahyun Lee, Michele Filannino, Di Jin, Kevin Buchan, William Boag, Özlem Uzuner:
Precision Medicine: matching cancer patients with relevant treatments. AMIA 2018 - [c10]Di Jin, Peter Szolovits:
PICO Element Detection in Medical Text via Long Short-Term Memory Neural Networks. BioNLP 2018: 67-75 - [c9]Di Jin, Peter Szolovits:
Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts. EMNLP 2018: 3100-3109 - [c8]Di Jin, Franck Dernoncourt, Elena Sergeeva, Matthew B. A. McDermott, Geeticka Chauhan:
MIT-MEDG at SemEval-2018 Task 7: Semantic Relation Classification via Convolution Neural Network. SemEval@NAACL-HLT 2018: 798-804 - [i3]Hao Zhang, Xinlin Xie, Chunyu Fang, Yicong Yang, Di Jin, Peng Fei:
High-throughput, high-resolution Generated Adversarial Network Microscopy. CoRR abs/1801.07330 (2018) - [i2]Di Jin, Peter Szolovits:
Hierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts. CoRR abs/1808.06161 (2018) - [i1]Di Jin, Peter Szolovits:
Advancing PICO Element Detection in Medical Text via Deep Neural Networks. CoRR abs/1810.12780 (2018) - 2017
- [c7]Kristen Johnson, Di Jin, Dan Goldwasser:
Leveraging Behavioral and Social Information for Weakly Supervised Collective Classification of Political Discourse on Twitter. ACL (1) 2017: 741-752 - [c6]Kristen Johnson, Di Jin, Dan Goldwasser:
Modeling of Political Discourse Framing on Twitter. ICWSM 2017: 556-559 - [c5]I-Ta Lee, Mahak Goindani, Chang Li, Di Jin, Kristen Johnson, Xiao Zhang, Maria Leonor Pacheco, Dan Goldwasser:
PurdueNLP at SemEval-2017 Task 1: Predicting Semantic Textual Similarity with Paraphrase and Event Embeddings. SemEval@ACL 2017: 198-202 - [c4]Yuan Ling, Sadid A. Hasan, Michele Filannino, Kevin P. Buchan, Kahyun Lee, Joey Liu, William Boag, Di Jin, Özlem Uzuner, Kathy Lee, Vivek V. Datla, Ashequl Qadir, Oladimeji Farri:
A Hybrid Approach to Precision Medicine-related Biomedical Article Retrieval and Clinical Trial Matching. TREC 2017 - 2016
- [c3]Maria Leonor Pacheco, I-Ta Lee, Xiao Zhang, Abdullah Khan Zehady, Pranjal Daga, Di Jin, Ayush Parolia, Dan Goldwasser:
Adapting Event Embedding for Implicit Discourse Relation Recognition. CoNLL Shared Task 2016: 136-142 - 2015
- [j3]Xiaochu Cao, Di Jin, Yintao Lu, Zongren Wang, Qidi Wang:
基于双边滤波的信号边界特征匹配与延拓 (Signal Boundary Characteristic Matching Extension Based on Bilateral Filtering). 计算机科学 42(Z11): 301-304 (2015) - 2014
- [e1]Jaime Lloret Mauri, Sabu M. Thampi, Danda B. Rawat, Di Jin:
Security in Computing and Communications - Second International Symposium, SSCC 2014, Delhi, India, September 24-27, 2014. Proceedings. Communications in Computer and Information Science 467, Springer 2014, ISBN 978-3-662-44965-3 [contents] - 2013
- [c2]Bilal Shebaro, Di Jin, Elisa Bertino:
Performance signatures of mobile phone browsers. CCS 2013: 1407-1410
2000 – 2009
- 2009
- [j2]Di Jin, Pramode K. Verma, Stamatios V. Kartalopoulos:
Fast convergent key distribution algorithms using a dual quantum channel. Secur. Commun. Networks 2(6): 519-530 (2009) - 2008
- [c1]Di Jin, Pramode K. Verma, Stamatios V. Kartalopoulos:
Key Distribution Using Dual Quantum Channels. IAS 2008: 327-332 - 2006
- [j1]Jianhua Yang, Di Jin, Ye Li, Kai-Steffen Hielscher, Reinhard German:
Modeling and simulation of performance analysis for a cluster-based Web server. Simul. Model. Pract. Theory 14(2): 188-200 (2006)
Coauthor Index
Dilek Hakkani-Tür
aka: Dilek Hakkani-Tur
aka: Dilek Hakkani-Tur
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