Di Jin - RankMe

73 papers A* 6A 5B 2C 1Misc 2Journal 41Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Accommodate Knowledge Conflicts in Retrieval-augmented LLMs: Towards Robust Response Generation in the Wild. AAAI Jiatai Wang, Zhiwei Xu, Di Jin, Xuewen Yang, Tao Li
2026	J	`jnl`	EigenData: A Self-Evolving Multi-Agent Platform for Function-Calling Data Synthesis, Auditing, and Repair. CoRR Jiaao Chen, Jingyuan Qi, Mingye Gao, Wei-Chen Wang, Hanrui Wang, Di Jin
2026	J	`jnl`	Enhancing quadrotor trajectory prediction via hybrid-corrected TCN-MLP network. J. Frankl. Inst. Liu Liu, Di Jin
2026	J	`jnl`	From Self-Evolving Synthetic Data to Verifiable-Reward RL: Post-Training Multi-turn Interactive Tool-Using Agents. CoRR Jiaxuan Gao, Jiaao Chen, Chuyi He, Wei-Chen Wang, Shusheng Xu, Hanrui Wang, Di Jin, Yi Wu
2026	J	`jnl`	Toward Ultra-Long-Horizon Agentic Science: Cognitive Accumulation for Machine Learning Engineering. CoRR Xinyu Zhu, Yuzhu Cai, Zexi Liu, Bingyang Zheng, Cheng Wang, Rui Ye, Jiaao Chen, Hanrui Wang, Wei-Chen Wang, Yuzhi Zhang, Linfeng Zhang, Weinan E, Di Jin, Siheng Chen, Yanfeng Wang
2026	—	`conf`	WorkForceAgent-R1: Incentivizing Reasoning Capability in LLM-based Web Agents via Reinforcement Learning. EACL (Findings) Yuchen Zhuang, Di Jin, Jiaao Chen, Wenqi Shi, Hanrui Wang, Chao Zhang
2025	J	`jnl`	A Toxic Euphemism Detection framework for online social network based on Semantic Contrastive Learning and dual channel knowledge augmentation. Inf. Process. Manag. Gang Zhou, Haizhou Wang, Di Jin, Wenxian Wang, Shuyu Jiang, Rui Tang, Xingshu Chen
2025	J	`jnl`	Accommodate Knowledge Conflicts in Retrieval-augmented LLMs: Towards Reliable Response Generation in the Wild. CoRR Jiatai Wang, Zhiwei Xu, Di Jin, Xuewen Yang, Tao Li
2025	J	`jnl`	Eigen-1: Adaptive Multi-Agent Refinement with Monitor-Based RAG for Scientific Reasoning. CoRR 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
2025	J	`jnl`	INFELM: In-depth Fairness Evaluation of Large Text-To-Image Models. CoRR Di Jin, Xing Liu, Yu Liu, Jia Qing Yap, Andrea Wong, Adriana Crespo, Qi Lin, Zhiyuan Yin, Qiang Yan, Ryan Ye
2025	—	`conf`	Improving Model Factuality with Fine-grained Critique-based Evaluator. ACL (1) 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
2025	Misc	`conf`	InjectTST: Injecting Global Information into Independent Channels for Long Time Series Forecasting. ICASSP Ce Chi, Xing Wang, Kexin Yang, Zhiyan Song, Di Jin, Lin Zhu, Chao Deng, Junlan Feng
2025	J	`jnl`	JT-Safe: Intrinsically Enhancing the Safety and Trustworthiness of LLMs. CoRR 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
2025	A	`conf`	LiPlan: A Multimodal Dataset for Livable Urban Environment Layout Generation. ICME Jianrong Wang, Shuyun Zhang, Ying Guo, Qi Li, Ju Zhang, Di Jin
2025	Misc	`conf`	Phase Transition Behavior in Random Constraint Satisfaction Problems with Heterogeneous Constraints. WISA Chunyan Zhao, Di Jin, Yutao Li
2025	J	`jnl`	Pisces: An Auto-regressive Foundation Model for Image Understanding and Generation. CoRR 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
2025	J	`jnl`	WorkForceAgent-R1: Incentivizing Reasoning Capability in LLM-based Web Agents via Reinforcement Learning. CoRR Yuchen Zhuang, Di Jin, Jiaao Chen, Wenqi Shi, Hanrui Wang, Chao Zhang
2024	A*	`conf`	BeeBox: Hardening BPF against Transient Execution Attacks. USENIX Security Symposium Di Jin, Alexander J. Gaidis, Vasileios P. Kemerlis
2024	J	`jnl`	ChemSafetyBench: Benchmarking LLM Safety on Chemistry Domain. CoRR Haochen Zhao, Xiangru Tang, Ziran Yang, Xiao Han, Xuanzhi Feng, Yueqing Fan, Senhao Cheng, Di Jin, Yilun Zhao, Arman Cohan, Mark Gerstein
2024	J	`jnl`	Improving Model Factuality with Fine-grained Critique-based Evaluator. CoRR 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
2024	J	`jnl`	InjectTST: A Transformer Method of Injecting Global Information into Independent Channels for Long Time Series Forecasting. CoRR Ce Chi, Xing Wang, Kexin Yang, Zhiyan Song, Di Jin, Lin Zhu, Chao Deng, Junlan Feng
2024	J	`jnl`	RoRA-VLM: Robust Retrieval-Augmented Vision Language Models. CoRR Jingyuan Qi, Zhiyang Xu, Rulin Shao, Yang Chen, Di Jin, Yu Cheng, Qifan Wang, Lifu Huang
2024	—	`conf`	Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning. ACL (Findings) Zhiyang Xu, Chao Feng, Rulin Shao, Trevor Ashby, Ying Shen, Di Jin, Yu Cheng, Qifan Wang, Lifu Huang
2024	J	`jnl`	Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning. CoRR Zhiyang Xu, Chao Feng, Rulin Shao, Trevor Ashby, Ying Shen, Di Jin, Yu Cheng, Qifan Wang, Lifu Huang
2024	J	`jnl`	Withstanding detector attacks in continuous-variable quantum key distribution via mean-restricted unary linear regression. Quantum Inf. Process. Wenqi Jiang, Jinyang Li, Di Jin, Hang Zhang, Zhiyue Zuo, Ying Guo
2023	J	`jnl`	Data-Efficient Alignment of Large Language Models with Human Feedback Through Natural Language. CoRR Di Jin, Shikib Mehri, Devamanyu Hazarika, Aishwarya Padmakumar, Sungjin Lee, Yang Liu, Mahdi Namazifar
2023	—	`conf`	EPF: Evil Packet Filter. USENIX ATC Di Jin, Vaggelis Atlidakis, Vasileios P. Kemerlis
2023	J	`jnl`	Exponent and Logarithm Component-Wise Construction Method of FCM Clustering Validity Function Based on Subjective and Objective Weighting. Int. J. Fuzzy Syst. Jia-Xu Liu, Jie-Sheng Wang, Guan Wang, Xiao-Rui Zhao, Hong-Yu Wang, Di Jin
2023	A*	`conf`	IvySyn: Automated Vulnerability Discovery in Deep Learning Frameworks. USENIX Security Symposium Neophytos Christou, Di Jin, Vaggelis Atlidakis, Baishakhi Ray, Vasileios P. Kemerlis
2023	J	`jnl`	Kinematic Analysis of the variable Height rotating Mechanism for End-Traction upper limb Rehabilitation robot. Int. J. Robotics Autom. Dongtai Liang, Yongfei Feng, Shengye Yang, Min Tang, Liangda Wu, Di Jin, Luige Vladareanu
2023	A*	`conf`	The Art of SOCRATIC QUESTIONING: Recursive Thinking with Large Language Models. EMNLP Jingyuan Qi, Zhiyang Xu, Ying Shen, Minqian Liu, Di Jin, Qifan Wang, Lifu Huang
2023	J	`jnl`	The Art of SOCRATIC QUESTIONING: Zero-shot Multimodal Reasoning with Recursive Thinking and Self-Questioning. CoRR Jingyuan Qi, Zhiyang Xu, Ying Shen, Minqian Liu, Di Jin, Qifan Wang, Lifu Huang
2023	J	`jnl`	Thermo-Optic Response and Optical Bistablility of Integrated High-Index Doped Silica Ring Resonators. Sensors Junkai Hu, Jiayang Wu, Di Jin, Sai T. Chu, Brent E. Little, Duan Huang, Roberto Morandotti, David J. Moss
2023	A*	`conf`	Thunderkaller: Profiling and Improving the Performance of Syzkaller. ASE Yang Lan, Di Jin, Zhun Wang, Wende Tan, Zheyu Ma, Chao Zhang
2022	—	`conf`	DMix: Adaptive Distance-aware Interpolative Mixup. ACL (2) Ramit Sawhney, Megh Thakkar, Shrey Pandit, Ritesh Soun, Di Jin, Diyi Yang, Lucie Flek
2022	J	`jnl`	GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. CoRR 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
2022	J	`jnl`	IvySyn: Automated Vulnerability Discovery for Deep Learning Frameworks. CoRR Neophytos Christou, Di Jin, Vaggelis Atlidakis, Baishakhi Ray, Vasileios P. Kemerlis
2022	J	`jnl`	Orbital angular momentum-encoded quantum digital signature over atmospheric channel. Quantum Inf. Process. Xinchao Ruan, Hang Zhang, Wei Zhao, Di Jin, Zhipeng Wang, Ying Guo
2022	—	`conf`	Power Probabilistic Energy Flow Calculation for Integrated Energy System Considering Uncertainties of Renewable Energy Output and Load. HP3C Di Jin, Chenhang Sun, Zhiyi Yang, Ruifa Cao, Zhigang Zhang
2021	J	`jnl`	Artificial-Intelligence-Enabled Reagent-Free Imaging Hematology Analyzer. Adv. Intell. Syst. Xin Shu, Sameera Sansare, Di Jin, Xiangxiang Zeng, Kai-Yu Tong, Rishikesh Pandey, Renjie Zhou
2021	J	`jnl`	Artificial-Intelligence-Enabled Reagent-Free Imaging Hematology Analyzer. Adv. Intell. Syst. Xin Shu, Sameera Sansare, Di Jin, Xiangxiang Zeng, Kai-Yu Tong, Rishikesh Pandey, Renjie Zhou
2021	—	`conf`	Continuous-Time Stochastic Differential Networks for Irregular Time Series Modeling. ICONIP (5) Yingru Liu, Yucheng Xing, Xuewen Yang, Xin Wang, Jing Shi, Di Jin, Zhaoyue Chen, Jacqueline Wu
2021	J	`jnl`	Continuous-Variable Quantum Key Distribution Based on Heralded Hybrid Linear Amplifier with a Local Local Oscillator. Entropy Yin Li, Yijun Wang, Yun Mao, Weishao Peng, Di Jin, Ying Guo
2021	J	`jnl`	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. Di Jin, Qing Wang, Dezhi Peng, Jiajia Wang, Bijuan Li, Yating Cheng, Nanxun Mo, Xiaoyan Deng, Ran Tao
2021	—	`conf`	HypMix: Hyperbolic Interpolative Data Augmentation. EMNLP (1) Ramit Sawhney, Megh Thakkar, Shivam Agarwal, Di Jin, Diyi Yang, Lucie Flek
2021	J	`jnl`	Robust suicide risk assessment on social media via deep adversarial learning. J. Am. Medical Informatics Assoc. Ramit Sawhney, Harshit Joshi, Saumya Gandhi, Di Jin, Rajiv Ratn Shah
2020	—	`conf`	A Data Forwarding Mechanism based on Deep Reinforcement Learning for Deterministic Networks. INFOCOM Workshops Yuhong Li, Peng Zhang, Yingchao Zhou, Di Jin
2020	—	`conf`	An Approach for Constructing Service Developers Oriented Heterogeneous Information Network. CIAT Zheng Li, Zhikang Shi, Xueyuan Huang, Di Jin, Chun Liu
2020	B	`conf`	Augmenting NLP models using Latent Feature Interpolations. COLING Amit Jindal, Arijit Ghosh Chowdhury, Aniket Didolkar, Di Jin, Ramit Sawhney, Rajiv Ratn Shah
2020	J	`jnl`	Calling Out Bluff: Attacking the Robustness of Automatic Scoring Systems with Simple Adversarial Testing. CoRR Yaman Kumar, Mehar Bhatia, Anubha Kabra, Junyi Jessy Li, Di Jin, Rajiv Ratn Shah
2020	—	`conf`	Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards. ECCV (13) Xuewen Yang, Heming Zhang, Di Jin, Yingru Liu, Chi-Hao Wu, Jianchao Tan, Dongliang Xie, Jue Wang, Xin Wang
2020	J	`jnl`	Fashion Captioning: Towards Generating Accurate Descriptions with Semantic Rewards. CoRR Xuewen Yang, Heming Zhang, Di Jin, Yingru Liu, Chi-Hao Wu, Jianchao Tan, Dongliang Xie, Jue Wang, Xin Wang
2020	J	`jnl`	Large-scale Debloating of Binary Shared Libraries. DTRAP Ioannis Agadakos, Nicholas DeMarinis, Di Jin, Kent Williams-King, Jearson Alfajardo, Benjamin Shteinfeld, David Williams-King, Vasileios P. Kemerlis, Georgios Portokalidis
2020	J	`jnl`	Learning Continuous-Time Dynamics by Stochastic Differential Networks. CoRR Yingru Liu, Yucheng Xing, Xuewen Yang, Xin Wang, Di Jin, Jing Shi
2020	B	`conf`	Predicting Internet of Things Data Traffic Through LSTM and Autoregressive Spectrum Analysis. NOMS Yuhong Li, Di Jin, Bailin Wang, Xiang Su, Jukka Riekki, Chao Sun, Hanyu Wei, Hao Wang, Lei Han
2020	A	`conf`	SpeechMix - Augmenting Deep Sound Recognition Using Hidden Space Interpolations. INTERSPEECH Amit Jindal, Narayanan Elavathur Ranganatha, Aniket Didolkar, Arijit Ghosh Chowdhury, Di Jin, Ramit Sawhney, Rajiv Ratn Shah
2020	—	`conf`	TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP. EMNLP (Demos) John X. Morris, Eli Lifland, Jin Yong Yoo, Jake Grigsby, Di Jin, Yanjun Qi
2020	J	`jnl`	The image-based analysis and classification of urine sediments using a LeNet-5 neural network. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Taihao Li, Di Jin, Cuifen Du, Xiumei Cao, Haige Chen, Jianshe Yan, Na Chen, Zhenyi Chen, Zhenzhen Feng, Shupeng Liu
2020	A	`conf`	sysfilter: Automated System Call Filtering for Commodity Software. RAID Nicholas DeMarinis, Kent Williams-King, Di Jin, Rodrigo Fonseca, Vasileios P. Kemerlis
2019	J	`jnl`	New Motion Intention Acquisition Method of Lower Limb Rehabilitation Robot Based on Static Torque Sensors. Sensors Yongfei Feng, Hongbo Wang, Luige Vladareanu, Zheming Chen, Di Jin
2019	A	`conf`	Nibbler: debloating binary shared libraries. ACSAC Ioannis Agadakos, Di Jin, David Williams-King, Vasileios P. Kemerlis, Georgios Portokalidis
2018	J	`jnl`	Context-Aware Data Dissemination for ICN-Based Vehicular Ad Hoc Networks. Inf. Yuhong Li, Xinyue Shi, Anders Lindgren, Zhuo Hu, Peng Zhang, Di Jin, Yingchao Zhou
2018	J	`jnl`	High-throughput, high-resolution Generated Adversarial Network Microscopy. CoRR Hao Zhang, Xinlin Xie, Chunyu Fang, Yicong Yang, Di Jin, Peng Fei
2017	—	`conf`	Leveraging Behavioral and Social Information for Weakly Supervised Collective Classification of Political Discourse on Twitter. ACL (1) Kristen Johnson, Di Jin, Dan Goldwasser
2017	A	`conf`	Modeling of Political Discourse Framing on Twitter. ICWSM Kristen Johnson, Di Jin, Dan Goldwasser
2017	—	`conf`	PurdueNLP at SemEval-2017 Task 1: Predicting Semantic Textual Similarity with Paraphrase and Event Embeddings. SemEval@ACL I-Ta Lee, Mahak Goindani, Chang Li, Di Jin, Kristen Johnson, Xiao Zhang, Maria Leonor Pacheco, Dan Goldwasser
2016	—	`conf`	Adapting Event Embedding for Implicit Discourse Relation Recognition. CoNLL Shared Task Maria Leonor Pacheco, I-Ta Lee, Xiao Zhang, Abdullah Khan Zehady, Pranjal Daga, Di Jin, Ayush Parolia, Dan Goldwasser
2015	J	`jnl`	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 Xiaochu Cao, Di Jin, Yintao Lu, Zongren Wang, Qidi Wang
2014	—	`ed.`	Security in Computing and Communications - Second International Symposium, SSCC 2014, Delhi, India, September 24-27, 2014. Proceedings SSCC Jaime Lloret Mauri, Sabu M. Thampi, Danda B. Rawat, Di Jin
2013	A*	`conf`	Performance signatures of mobile phone browsers. CCS Bilal Shebaro, Di Jin, Elisa Bertino
2009	J	`jnl`	Fast convergent key distribution algorithms using a dual quantum channel. Secur. Commun. Networks Di Jin, Pramode K. Verma, Stamatios V. Kartalopoulos
2008	C	`conf`	Key Distribution Using Dual Quantum Channels. IAS Di Jin, Pramode K. Verma, Stamatios V. Kartalopoulos
2006	J	`jnl`	Modeling and simulation of performance analysis for a cluster-based Web server. Simul. Model. Pract. Theory Jianhua Yang, Di Jin, Ye Li, Kai-Steffen Hielscher, Reinhard German