Di Jin

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 225

Top Venues

Publications

Ling Ding, Chao Li, Di Jin, Shifei Ding
Survey of spectral clustering based on graph theory. Pattern Recognit. 151 (2024)
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) (2024)
Di Jin, Alexander J. Gaidis, Vasileios P. Kemerlis
BeeBox: Hardening BPF against Transient Execution Attacks. USENIX Security Symposium (2024)
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 (2024)
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 (2024)
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)
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 (2024)
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, 85-96. Int. J. Robotics Autom. 38 (2) (2023)
Ling Ding, Peng Du, Haiwei Hou, Jian Zhang, Di Jin, Shifei Ding
Botnet DGA Domain Name Classification Using Transformer Network with Hybrid Embedding. Big Data Res. 33 (2023)
Yingjie Xue, Di Jin, Maurice Herlihy
Invited Paper: Fault-tolerant and Expressive Cross-Chain Swaps. ICDCN (2023)
Yang Lan, Di Jin, Zhun Wang, Wende Tan, Zheyu Ma, Chao Zhang
Thunderkaller: Profiling and Improving the Performance of Syzkaller. ASE (2023)
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 (2023)
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)
Di Jin, Jiayi Shi, Rui Wang, Yawen Li, Yuxiao Huang, Yu-Bin Yang
Trafformer: Unify Time and Space in Traffic Prediction. AAAI (2023)
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)
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) (2023)
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) (2023)
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)
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)
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)
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)
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)
Xuewei Li, Aitong Sun, Mankun Zhao, Jian Yu, Kun Zhu, Di Jin, Mei Yu, Ruiguo Yu
Multi-Intention Oriented Contrastive Learning for Sequential Recommendation. WSDM (2023)
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 (2023)
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)
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)
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)
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 (2023)
Neophytos Christou, Di Jin, Vaggelis Atlidakis, Baishakhi Ray, Vasileios P. Kemerlis
IvySyn: Automated Vulnerability Discovery in Deep Learning Frameworks. USENIX Security Symposium (2023)
Di Jin, Vaggelis Atlidakis, Vasileios P. Kemerlis
EPF: Evil Packet Filter. USENIX Annual Technical Conference (2023)
Mei Yu, Qianyu Zhang, Jian Yu, Mankun Zhao, Xuewei Li, Di Jin, Ming Yang, Ruiguo Yu
Knowledge graph completion using topological correlation and multi-perspective independence. Knowl. Based Syst. 259 (2023)
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 (2023)
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 (2023)
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 (2023)
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)
Behnam Hedayatnia, Di Jin, Yang Liu, Dilek Hakkani-Tur
A Systematic Evaluation of Response Selection for Open Domain Dialogue. SIGDIAL (2022)
Di Jin, Sungchul Kim, Ryan A. Rossi, Danai Koutra
On Generalizing Static Node Embedding to Dynamic Settings. WSDM (2022)
Di Jin, Shuyang Gao, Seokhwan Kim, Yang Liu, Dilek Hakkani-Tur
Towards Textual Out-of-Domain Detection without In-Domain Labels. CoRR (2022)
Hyounghun Kim, Aishwarya Padmakumar, Di Jin, Mohit Bansal, Dilek Hakkani-Tur
On the Limits of Evaluating Embodied Agent Model Generalization Using Validation Sets. CoRR (2022)
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 (2022)
Shirui Pan, Shaoxiong Ji, Di Jin, Feng Xia, Philip S. Yu
Guest Editorial: Graph-powered machine learning in future-generation computing systems. Future Gener. Comput. Syst. 126 (2022)
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)
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 (2022)
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 (2022)
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)
Junchen Jin, Mark Heimann, Di Jin, Danai Koutra
Toward Understanding and Evaluating Structural Node Embeddings. ACM Trans. Knowl. Discov. Data 16 (3) (2022)
Zhizhi Yu, Di Jin, Jianguo Wei, Ziyang Liu, Yue Shang, Yun Xiao, Jiawei Han, Lingfei Wu
TeKo: Text-Rich Graph Neural Networks with External Knowledge. CoRR (2022)
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 (2022)
Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur
Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning. CoRR (2022)
Neophytos Christou, Di Jin, Vaggelis Atlidakis, Baishakhi Ray, Vasileios P. Kemerlis
IvySyn: Automated Vulnerability Discovery for Deep Learning Frameworks. CoRR (2022)
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)
Di Jin, Rui Wang, Meng Ge, Dongxiao He, Xiang Li, Wei Lin, Weixiong Zhang
RAW-GNN: RAndom Walk Aggregation based Graph Neural Network. CoRR (2022)
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) (2022)
Di Jin, Sijia Liu, Yang Liu, Dilek Hakkani-Tur
Improving Bot Response Contradiction Detection via Utterance Rewriting. SIGDIAL (2022)
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 (2022)
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)
Yingjie Xue, Di Jin, Maurice Herlihy
Invited Paper: Fault-tolerant and Expressive Cross-Chain Swaps. CoRR (2022)
Di Jin, Zhijing Jin, Zhiting Hu, Olga Vechtomova, Rada Mihalcea
Deep Learning for Text Style Transfer: A Survey. Comput. Linguistics 48 (1) (2022)
Ramit Sawhney, Megh Thakkar, Shrey Pandit, Ritesh Soun, Di Jin, Diyi Yang, Lucie Flek
DMix: Adaptive Distance-aware Interpolative Mixup. ACL (2) (2022)
Di Jin, Rui Wang, Meng Ge, Dongxiao He, Xiang Li, Wei Lin, Weixiong Zhang
RAW-GNN: RAndom Walk Aggregation based Graph Neural Network. IJCAI (2022)
Xin Zheng, Yixin Liu, Shirui Pan, Miao Zhang, Di Jin, Philip S. Yu
Graph Neural Networks for Graphs with Heterophily: A Survey. CoRR (2022)
Di Jin, Luzhi Wang, Yizhen Zheng, Xiang Li, Fei Jiang, Wei Lin, Shirui Pan
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning. IJCAI (2022)
Behnam Hedayatnia, Di Jin, Yang Liu, Dilek Hakkani-Tur
A Systematic Evaluation of Response Selection for Open Domain Dialogue. CoRR (2022)
Yifan Chen, Devamanyu Hazarika, Mahdi Namazifar, Yang Liu, Di Jin, Dilek Hakkani-Tur
Inducer-tuning: Connecting Prefix-tuning and Adapter-tuning. EMNLP (2022)
Tao Wang, Di Jin, Rui Wang, Dongxiao He, Yuxiao Huang
Powerful Graph Convolutional Networks with Adaptive Propagation Mechanism for Homophily and Heterophily. AAAI (2022)
Yifan Chen, Tianning Xu, Dilek Hakkani-Tur, Di Jin, Yun Yang, Ruoqing Zhu
Calibrate and Debias Layer-wise Sampling for Graph Convolutional Networks. CoRR (2022)
Di Jin, Luzhi Wang, Yizhen Zheng, Xiang Li, Fei Jiang, Wei Lin, Shirui Pan
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning. CoRR (2022)
Di Jin, Sijia Liu, Yang Liu, Dilek Hakkani-Tur
Improving Bot Response Contradiction Detection via Utterance Rewriting. CoRR (2022)
Di Jin, Seokhwan Kim, Dilek Hakkani-Tür
Can I Be of Further Assistance? Using Unstructured Knowledge Access to Improve Task-oriented Conversational Modeling. CoRR (2021)
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 (2021)
Di Jin, Jing He, Bianfang Chai, Dongxiao He
Semi-supervised community detection on attributed networks using non-negative matrix tri-factorization with node popularity. Frontiers Comput. Sci. 15 (4) (2021)
Di Jin, Cuiying Huo, Chundong Liang, Liang Yang
Heterogeneous Graph Neural Network via Attribute Completion. WWW (2021)
Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han
AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks. ICDM (2021)
Di Jin, Elena Sergeeva, Wei-Hung Weng, Geeticka Chauhan, Peter Szolovits
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View. CoRR (2021)
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) (2021)
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) (2021)
Pengfei Jiao, Ruili Lu, Di Jin, Yinghui Wang, Huaming Wu
An Effective and Robust Framework by Modeling Correlations of Multiplex Network Embedding. ICDM (2021)
Di Jin, Xiaobao Wang, Dongxiao He, Jianwu Dang, Weixiong Zhang
Robust Detection of Link Communities With Summary Description in Social Networks. IEEE Trans. Knowl. Data Eng. 33 (6) (2021)
Junchen Jin, Mark Heimann, Di Jin, Danai Koutra
Towards Understanding and Evaluating Structural Node Embeddings. CoRR (2021)
Wenzhong Yan, Di Jin, Zhidi Lin, Feng Yin
Graph Neural Network for Large-Scale Network Localization. ICASSP (2021)
Fatemeh Vahedian, Ruiyu Li, Puja Trivedi, Di Jin, Danai Koutra
Convolutional Neural Network Dynamics: A Graph Perspective. CoRR (2021)
Joey Tianyi Zhou, Hao Zhang, Di Jin, Xi Peng
Dual Adversarial Transfer for Sequence Labeling. IEEE Trans. Pattern Anal. Mach. Intell. 43 (2) (2021)
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) (2021)
Xing Su, Shan Xue, Fanzhen Liu, Jia Wu, Jian Yang, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Di Jin, Quan Z. Sheng, Philip S. Yu
A Comprehensive Survey on Community Detection with Deep Learning. CoRR (2021)
Di Jin, Zhongang Qi, Yingmin Luo, Ying Shan
TransFusion: Multi-Modal Fusion for Video Tag Inference via Translation-based Knowledge Embedding. ACM Multimedia (2021)
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) (2021)
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 (2021)
Di Jin, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Danai Koutra
Deep Transfer Learning for Multi-source Entity Linkage via Domain Adaptation. CoRR (2021)
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) (2021)
Nishil Talati, Di Jin, Haojie Ye, Ajay Brahmakshatriya, Ganesh S. Dasika, Saman P. Amarasinghe, Trevor N. Mudge, Danai Koutra, Ronald G. Dreslinski
A Deep Dive Into Understanding The Random Walk-Based Temporal Graph Learning. IISWC (2021)
Matthew B. A. McDermott, Brendan Yap, Tzu-Ming Harry Hsu, Di Jin, Peter Szolovits
Adversarial Contrastive Pre-training for Protein Sequences. CoRR (2021)
Ziyang Liu, Zhaomeng Cheng, Yunjiang Jiang, Yue Shang, Wei Xiong, Sulong Xu, Bo Long, Di Jin
Heterogeneous Network Embedding for Deep Semantic Relevance Match in E-commerce Search. CoRR (2021)
Tao Wang, Rui Wang, Di Jin, Dongxiao He, Yuxiao Huang
Powerful Graph Convolutioal Networks with Adaptive Propagation Mechanism for Homophily and Heterophily. CoRR (2021)
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)
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 (2021)
Di Jin, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Danai Koutra
Deep Transfer Learning for Multi-source Entity Linkage via Domain Adaptation. Proc. VLDB Endow. 15 (3) (2021)
Di Jin, Zhizhi Yu, Pengfei Jiao, Shirui Pan, Philip S. Yu, Weixiong Zhang
A Survey of Community Detection Approaches: From Statistical Modeling to Deep Learning. CoRR (2021)
Kuntharrgyal Khysru, Di Jin, Yuxiao Huang, Hui Feng, Jianwu Dang
A Tibetan Language Model That Considers the Relationship Between Suffixes and Functional Words. IEEE Signal Process. Lett. 28 (2021)
Di Jin, Xiangchen Song, Zhizhi Yu, Ziyang Liu, Heling Zhang, Zhaomeng Cheng, Jiawei Han
BiTe-GCN: A New GCN Architecture via Bidirectional Convolution of Topology and Features on Text-Rich Networks. WSDM (2021)
Ramit Sawhney, Megh Thakkar, Shivam Agarwal, Di Jin, Diyi Yang, Lucie Flek
HypMix: Hyperbolic Interpolative Data Augmentation. EMNLP (1) (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Di Jin