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Sendong Zhao
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2020 – today
- 2024
- [c23]Haoqiang Guo, Sendong Zhao, Haochun Wang, Yanrui Du, Bing Qin:
MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts. AAAI 2024: 18144-18152 - [c22]Haochun Wang, Sendong Zhao, Chi Liu, Nuwa Xi, Muzhen Cai, Bing Qin, Ting Liu:
Manifold-Based Verbalizer Space Re-embedding for Tuning-Free Prompt-Based Classification. AAAI 2024: 19126-19134 - [c21]Yuhan Chen, Nuwa Xi, Yanrui Du, Haochun Wang, Jianyu Chen, Sendong Zhao, Bing Qin:
From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery. AAAI 2024: 21958-21966 - [c20]Nuwa Xi, Yuhan Chen, Sendong Zhao, Haochun Wang, GongZhang GongZhang, Bing Qin, Ting Liu:
AS-ES Learning: Towards efficient CoT learning in small models. ACL (Findings) 2024: 10686-10697 - [i28]Haoqiang Guo, Sendong Zhao, Haochun Wang, Yanrui Du, Bing Qin:
MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts. CoRR abs/2401.11403 (2024) - [i27]Haochun Wang, Sendong Zhao, Zewen Qiang, Nuwa Xi, Bing Qin, Ting Liu:
Beyond Direct Diagnosis: LLM-based Multi-Specialist Agent Consultation for Automatic Diagnosis. CoRR abs/2401.16107 (2024) - [i26]Haochun Wang, Sendong Zhao, Zewen Qiang, Bing Qin, Ting Liu:
Beyond the Answers: Reviewing the Rationality of Multiple Choice Question Answering for the Evaluation of Large Language Models. CoRR abs/2402.01349 (2024) - [i25]Nuwa Xi, Yuhan Chen, Sendong Zhao, Haochun Wang, Bing Qin, Ting Liu:
AS-ES Learning: Towards Efficient CoT Learning in Small Models. CoRR abs/2403.01969 (2024) - [i24]Yanrui Du, Sendong Zhao, Danyang Zhao, Ming Ma, Yuhan Chen, Liangyu Huo, Qing Yang, Dongliang Xu, Bing Qin:
MoGU: A Framework for Enhancing Safety of Open-Sourced LLMs While Preserving Their Usability. CoRR abs/2405.14488 (2024) - [i23]Muzhen Cai, Sendong Zhao, Haochun Wang, Yanrui Du, Zewen Qiang, Bing Qin, Ting Liu:
MolFusion: Multimodal Fusion Learning for Molecular Representations via Multi-granularity Views. CoRR abs/2406.18020 (2024) - [i22]Yanrui Du, Sendong Zhao, Jiawei Cao, Ming Ma, Danyang Zhao, Fenglei Fan, Ting Liu, Bing Qin:
Towards Secure Tuning: Mitigating Security Risks Arising from Benign Instruction Fine-Tuning. CoRR abs/2410.04524 (2024) - 2023
- [c19]Nuwa Xi, Sendong Zhao, Haochun Wang
, Chi Liu, Bing Qin, Ting Liu:
UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language. ACL (1) 2023: 13277-13291 - [c18]Yanrui Du, Sendong Zhao, Haochun Wang
Make Your Decision Convincing! A Unified Two-Stage Framework: Self-Attribution and Decision-Making. EMNLP (Findings) 2023: 1101-1112 - [c17]Yanrui Du, Jing Yan, Yan Chen, Jing Liu, Sendong Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Bing Qin:
Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation. IJCAI 2023: 5039-5048 - [c16]Chi Liu, Haochun Wang
Global Prompt Cell: A Portable Control Module for Effective Prompt Tuning. NLPCC (1) 2023: 657-668 - [i21]Chi Liu, Haochun Wang, Nuwa Xi, Sendong Zhao, Bing Qin:
Global Prompt Cell: A Portable Control Module for Effective Prompt. CoRR abs/2304.05642 (2023) - [i20]Haochun Wang, Chi Liu, Nuwa Xi, Zewen Qiang, Sendong Zhao, Bing Qin, Ting Liu:
HuaTuo: Tuning LLaMA Model with Chinese Medical Knowledge. CoRR abs/2304.06975 (2023) - [i19]Nuwa Xi, Sendong Zhao, Haochun Wang, Chi Liu, Bing Qin, Ting Liu:
UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language. CoRR abs/2307.05355 (2023) - [i18]Yanrui Du, Sendong Zhao, Yuhan Chen, Rai Bai, Jing Liu, Hua Wu, Haifeng Wang, Bing Qin:
GLS-CSC: A Simple but Effective Strategy to Mitigate Chinese STM Models' Over-Reliance on Superficial Clue. CoRR abs/2309.04162 (2023) - [i17]Haochun Wang, Sendong Zhao, Chi Liu, Nuwa Xi, Muzhen Cai, Bing Qin, Ting Liu:
Manifold-based Verbalizer Space Re-embedding for Tuning-free Prompt-based Classification. CoRR abs/2309.04174 (2023) - [i16]Haochun Wang, Sendong Zhao, Zewen Qiang, Zijian Li, Nuwa Xi, Yanrui Du, Muzhen Cai, Haoqiang Guo, Yuhan Chen, Haoming Xu, Bing Qin, Ting Liu:
Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in Chinese. CoRR abs/2309.04175 (2023) - [i15]Yanrui Du, Sendong Zhao, Muzhen Cai, Jianyu Chen, Haochun Wang, Yuhan Chen, Haoqiang Guo, Bing Qin:
The CALLA Dataset: Probing LLMs' Interactive Knowledge Acquisition from Chinese Medical Literature. CoRR abs/2309.04198 (2023) - [i14]Yuhan Chen, Nuwa Xi, Yanrui Du, Haochun Wang, Jianyu Chen, Sendong Zhao, Bing Qin:
From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery. CoRR abs/2309.05203 (2023) - [i13]Yanrui Du, Sendong Zhao, Haochun Wang, Yuhan Chen, Rui Bai, Zewen Qiang, Muzhen Cai, Bing Qin:
Make Your Decision Convincing! A Unified Two-Stage Framework: Self-Attribution and Decision-Making. CoRR abs/2310.13610 (2023) - [i12]Yanrui Du, Sendong Zhao, Ming Ma, Yuhan Chen, Bing Qin:
Analyzing the Inherent Response Tendency of LLMs: Real-World Instructions-Driven Jailbreak. CoRR abs/2312.04127 (2023) - 2022
- [j10]Sendong Zhao
Biomedical evidence engineering for data-driven discovery. Bioinform. 38(23): 5270-5278 (2022) - [j9]Shaolei Wang, Zhongyuan Wang, Wanxiang Che, Sendong Zhao, Ting Liu:
Combining Self-supervised Learning and Active Learning for Disfluency Detection. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(3): 62:1-62:25 (2022) - [j8]Xiaoming Shi
Understanding Patient Query With Weak Supervision From Doctor Response. IEEE J. Biomed. Health Informatics 26(6): 2770-2777 (2022) - [j7]Sendong Zhao
Structural and Textual Information Fusion for Symptom and Disease Representation Learning. IEEE Trans. Knowl. Data Eng. 34(9): 4468-4483 (2022) - [c15]Haochun Wang
Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words. COLING 2022: 1422-1431 - [i11]Yanrui Du, Jing Yan, Yan Chen, Jing Liu, Sendong Zhao, Hua Wu, Haifeng Wang, Bing Qin:
Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation. CoRR abs/2205.12593 (2022) - [i10]Tao He, Tianwen Jiang, Zihao Zheng, Haichao Zhu, Jingrun Zhang, Ming Liu, Sendong Zhao, Bing Qin:
VEM2L: A Plug-and-play Framework for Fusing Text and Structure Knowledge on Sparse Knowledge Graph Completion. CoRR abs/2207.01528 (2022) - [i9]Haochun Wang, Chi Liu, Nuwa Xi, Sendong Zhao, Meizhi Ju, Shiwei Zhang, Ziheng Zhang, Yefeng Zheng, Bing Qin, Ting Liu:
Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words. CoRR abs/2209.06453 (2022) - 2021
- [j6]Sendong Zhao, Chang Su, Zhiyong Lu, Fei Wang:
Recent advances in biomedical literature mining. Briefings Bioinform. 22(3) (2021) - [c14]Haichao Zhu, Zekun Wang, Heng Zhang, Ming Liu, Sendong Zhao, Bing Qin:
Less Is More: Domain Adaptation with Lottery Ticket for Reading Comprehension. EMNLP (Findings) 2021: 1102-1113 - [c13]Dechuan Teng, Libo Qin, Wanxiang Che, Sendong Zhao, Ting Liu:
Injecting Word Information with Multi-Level Word Adapter for Chinese Spoken Language Understanding. ICASSP 2021: 8188-8192 - [c12]Libo Qin, Tailu Liu, Wanxiang Che, Bingbing Kang, Sendong Zhao, Ting Liu:
A Co-Interactive Transformer for Joint Slot Filling and Intent Detection. ICASSP 2021: 8193-8197 - 2020
- [j5]Mengying Sun, Sendong Zhao, Coryandar Gilvary, Olivier Elemento, Jiayu Zhou, Fei Wang:
Graph convolutional networks for computational drug development and discovery. Briefings Bioinform. 21(3): 919-935 (2020) - [c11]Sendong Zhao, Yong Huang, Chang Su, Yuantong Li
Interactive Attention Networks for Semantic Text Matching. ICDM 2020: 861-870 - [i8]Libo Qin, Tailu Liu, Wanxiang Che, Bingbing Kang, Sendong Zhao, Ting Liu:
A Co-Interactive Transformer for Joint Slot Filling and Intent Detection. CoRR abs/2010.03880 (2020) - [i7]Dechuang Teng, Libo Qin, Wanxiang Che, Sendong Zhao, Ting Liu:
Injecting Word Information with Multi-Level Word Adapter for Chinese Spoken Language Understanding. CoRR abs/2010.03903 (2020) - [i6]Sendong Zhao, Bing Qin, Ting Liu, Fei Wang:
Biomedical Knowledge Graph Refinement with Embedding and Logic Rules. CoRR abs/2012.01031 (2020)
2010 – 2019
- 2019
- [c10]Sendong Zhao, Ting Liu, Sicheng Zhao, Fei Wang:
A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization. AAAI 2019: 817-824 - [c9]Sicheng Zhao, Chuang Lin
CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image Emotions. AAAI 2019: 2620-2627 - [c8]Sendong Zhao, Chang Su, Andrea Sboner, Fei Wang:
GRAPHENE: A Precise Biomedical Literature Retrieval Engine with Graph Augmented Deep Learning and External Knowledge Empowerment. CIKM 2019: 149-158 - [i5]Tianwen Jiang, Sendong Zhao, Jing Liu, Jin-Ge Yao, Ming Liu, Bing Qin, Ting Liu, Chin-Yew Lin:
Towards Time-Aware Distant Supervision for Relation Extraction. CoRR abs/1903.03289 (2019) - [i4]Sendong Zhao, Chang Su, Andrea Sboner, Fei Wang:
GRAPHENE: A Precise Biomedical Literature Retrieval Engine with Graph Augmented Deep Learning and External Knowledge Empowerment. CoRR abs/1911.00760 (2019) - [i3]Sendong Zhao, Yong Huang, Chang Su, Yuantong Li, Fei Wang:
Interactive Attention for Semantic Text Matching. CoRR abs/1911.06146 (2019) - 2018
- [c7]Sendong Zhao, Meng Jiang, Ming Liu, Bing Qin, Ting Liu:
CausalTriad: Toward Pseudo Causal Relation Discovery and Hypotheses Generation from Medical Text Data. BCB 2018: 184-193 - [i2]Xi Zhang, Dandi Chen, Yongjun Zhu, Chao Che, Chang Su, Sendong Zhao, Xu Min, Fei Wang:
The NIPS'17 Competition: A Multi-View Ensemble Classification Model for Clinically Actionable Genetic Mutations. CoRR abs/1806.09737 (2018) - [i1]Sendong Zhao, Ting Liu, Sicheng Zhao, Fei Wang:
A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization. CoRR abs/1812.06081 (2018) - 2017
- [c6]Zhongyang Li, Sendong Zhao, Xiao Ding, Ting Liu:
EEG: Knowledge Base for Event Evolutionary Principles and Patterns. SMP 2017: 40-52 - [c5]Sendong Zhao, Quan Wang, Sean Massung, Bing Qin, Ting Liu, Bin Wang, ChengXiang Zhai:
Constructing and Embedding Abstract Event Causality Networks from Text Snippets. WSDM 2017: 335-344 - [c4]Sendong Zhao:
Mining Medical Causality for Diagnosis Assistance. WSDM 2017: 841 - 2016
- [j4]Sendong Zhao, Ting Liu, Sicheng Zhao, Yiheng Chen, Jian-Yun Nie
Event causality extraction based on connectives analysis. Neurocomputing 173: 1943-1950 (2016) - [j3]Sicheng Zhao, Hongxun Yao, Sendong Zhao, Xuesong Jiang, Xiaolei Jiang:
Multi-modal microblog classification via multi-task learning. Multim. Tools Appl. 75(15): 8921-8938 (2016) - 2014
- [j2]Chunguang Ma, Ding Wang
Security flaws in two improved remote user authentication schemes using smart cards. Int. J. Commun. Syst. 27(10): 2215-2227 (2014) - 2013
- [j1]Ding Wang
Secure Password-based Remote User Authentication Scheme Against Smart Card Security Breach. J. Networks 8(1): 148-155 (2013) - 2012
- [c3]Sendong Zhao, Ding Wang
Cookie-Proxy: A Scheme to Prevent SSLStrip Attack. ICICS 2012: 365-372 - [c2]Ding Wang
Breaking a Robust Remote User Authentication Scheme Using Smart Cards. NPC 2012: 110-118 - [c1]Sendong Zhao, Wu Yang, Ding Wang
A New Scheme with Secure Cookie against SSLStrip Attack. WISM 2012: 214-221
Coauthor Index
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last updated on 2024-11-14 00:54 CET by the dblp team
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