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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.
Person information
Other persons with the same name
- Di Jin 0001
![[0000-0002-7445-9936]](https://dblp.org/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)
- Di Jin 0004 — Brown University, Providence, RI, USA
- Di Jin 0005 — Amazon.com Inc., Seattle, WA, USA
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2020 – today
- 2025
[j18]Gang Zhou, Haizhou Wang, Di Jin, Wenxian Wang, Shuyu Jiang, Rui Tang, Xingshu Chen:
A Toxic Euphemism Detection framework for online social network based on Semantic Contrastive Learning and dual channel knowledge augmentation. Inf. Process. Manag. 62(5): 104143 (2025)- [c29]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. ACL (1) 2025: 8140-8155 - [c28]Ce Chi, Xing Wang, Kexin Yang, Zhiyan Song, Di Jin, Lin Zhu, Chao Deng, Junlan Feng:
InjectTST: Injecting Global Information into Independent Channels for Long Time Series Forecasting. ICASSP 2025: 1-5 - [c27]Ziyu Guo, Meng Ge, Xiaobao Wang, Di Jin:
Multi-range Random Walk Based Graph Neural Network. ICIC (10) 2025: 162-174 - [c26]Jianrong Wang, Shuyun Zhang, Ying Guo, Qi Li, Ju Zhang, Di Jin:
LiPlan: A Multimodal Dataset for Livable Urban Environment Layout Generation. ICME 2025: 1-6 - [i19]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) - [i18]Jiatai Wang, Zhiwei Xu, Di Jin, Xuewen Yang, Tao Li:
Accommodate Knowledge Conflicts in Retrieval-augmented LLMs: Towards Reliable Response Generation in the Wild. CoRR abs/2504.12982 (2025) - [i17]Yuchen Zhuang, Di Jin, Jiaao Chen, Wenqi Shi, Hanrui Wang, Chao Zhang:
WorkForceAgent-R1: Incentivizing Reasoning Capability in LLM-based Web Agents via Reinforcement Learning. CoRR abs/2505.22942 (2025) - [i16]Zhiyang Xu, Jiuhai Chen, Zhaojiang Lin, Xichen Pan, Lifu Huang, Tianyi Zhou, Madian Khabsa, Qifan Wang, Di Jin, Michihiro Yasunaga, Lili Yu, Xi Victoria Lin, Shaoliang Nie:
Pisces: An Auto-regressive Foundation Model for Image Understanding and Generation. CoRR abs/2506.10395 (2025) - [i15]Xiangru Tang, Wanghan Xu, Yujie Wang, Zijie Guo, Daniel Shao, Jiapeng Chen, Cixuan Zhang, Ziyi Wang, Lixin Zhang, Guancheng Wan, Wenlong Zhang, Lei Bai, Zhenfei Yin, Philip Torr, Hanrui Wang, Di Jin:
Eigen-1: Adaptive Multi-Agent Refinement with Monitor-Based RAG for Scientific Reasoning. CoRR abs/2509.21193 (2025) - [i14]Junlan Feng, Fanyu Meng, Chong Long, Pengyu Cong, Duqing Wang, Yan Zheng, Yuyao Zhang, Xuanchang Gao, Ye Yuan, Yunfei Ma, Zhijie Ren, Fan Yang, Na Wu, Di Jin, Chao Deng:
JT-Safe: Intrinsically Enhancing the Safety and Trustworthiness of LLMs. CoRR abs/2510.17918 (2025) - 2024
- [j17]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) - [c25]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 - [c24]Di Jin, Alexander J. Gaidis, Vasileios P. Kemerlis:
BeeBox: Hardening BPF against Transient Execution Attacks. USENIX Security Symposium 2024 - [i13]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) - [i12]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) - [i11]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) - [i10]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) - [i9]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
- [j16]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) - [j15]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) - [j14]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) - [c23]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 - [c22]Yang Lan, Di Jin, Zhun Wang, Wende Tan, Zheyu Ma, Chao Zhang:
Thunderkaller: Profiling and Improving the Performance of Syzkaller. ASE 2023: 1567-1578 - [c21]Di Jin, Vaggelis Atlidakis, Vasileios P. Kemerlis:
EPF: Evil Packet Filter. USENIX ATC 2023: 735-751 - [c20]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 - [i8]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) - [i7]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
- [j13]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) - [c19]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 - [c18]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 - [i6]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) - [i5]Neophytos Christou, Di Jin, Vaggelis Atlidakis, Baishakhi Ray, Vasileios P. Kemerlis:
IvySyn: Automated Vulnerability Discovery for Deep Learning Frameworks. CoRR abs/2209.14921 (2022) - 2021
- [j12]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) - [j11]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) - [j10]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) - [j9]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) - [j8]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) - [c17]Ramit Sawhney, Megh Thakkar, Shivam Agarwal, Di Jin, Diyi Yang, Lucie Flek:
HypMix: Hyperbolic Interpolative Data Augmentation. EMNLP (1) 2021: 9858-9868 - [c16]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 - 2020
- [j7]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) - [j6]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) - [c15]Zheng Li, Zhikang Shi, Xueyuan Huang, Di Jin, Chun Liu:
An Approach for Constructing Service Developers Oriented Heterogeneous Information Network. CIAT 2020: 236-243 - [c14]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 - [c13]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 - [c12]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 - [c11]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 - [c10]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 - [c9]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 - [c8]Nicholas DeMarinis, Kent Williams-King, Di Jin, Rodrigo Fonseca, Vasileios P. Kemerlis:
sysfilter: Automated System Call Filtering for Commodity Software. RAID 2020: 459-474 - [i4]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) - [i3]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) - [i2]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)
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) - [c7]Ioannis Agadakos, Di Jin, David Williams-King, Vasileios P. Kemerlis, Georgios Portokalidis:
Nibbler: debloating binary shared libraries. ACSAC 2019: 70-83 - 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) - [i1]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) - 2017
- [c6]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 - [c5]Kristen Johnson, Di Jin, Dan Goldwasser:
Modeling of Political Discourse Framing on Twitter. ICWSM 2017: 556-559 - [c4]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 - 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
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