Jianxing Yu

98 papers A* 20B 3Misc 1Journal 46Unranked 27
YearRankTypeTitle / Venue / Authors
2026 J jnl
Accelerated Optimization of Large Mixture-of-Experts Models by Density-Aware Multi-Stage Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Jianxing Yu, Haowei Jiang, Huaijie Zhu, Wenqing Chen, Yanghui Rao, Qinliang Su, Jian Yin
2026 A* conf
AlignSurvey: A Comprehensive Benchmark for Human Preferences Alignment in Social Surveys.
AAAI
Chenxi Lin, Weikang Yuan, Zhuoren Jiang, Biao Huang, Ruitao Zhang, Jianan Ge, Yueqian Xu, Jianxing Yu
2026 J jnl
An empirical study on low-code programming using traditional vs large language model support.
J. Syst. Softw.
Yongkun Liu, Jiachi Chen, Tingting Bi, John Grundy, Yanlin Wang, Jianxing Yu, Ting Chen, Yutian Tang, Zibin Zheng
2026 A* conf
CoS: Towards Optimal Event Scheduling via Chain-of-Scheduling.
AAAI
Yiming Zhao, Jiwei Tang, Shimin Di, Libin Zheng, Jianxing Yu, Jian Yin
2026 J jnl
Functional consistency of LLM code embeddings: A self-evolving data synthesis framework for benchmarking.
Expert Syst. Appl.
Zhuohao Li, Wenqing Chen, Jianxing Yu, Zhichao Lu
2026 J jnl
GAFD-CC: Global-aware feature decoupling with confidence calibration for out-of-distribution detection.
Neural Networks
Kun Zou, Yongheng Xu, Jianxing Yu, Yan Pan, Jian Yin, Hanjiang Lai
2026 A* conf
HPSU: A Benchmark for Human-Level Perception in Real-World Spoken Speech Understanding.
AAAI
Chen Li, Peiji Yang, Yicheng Zhong, Jianxing Yu, Zhisheng Wang, Zihao Gou, Wenqing Chen, Jian Yin
2025 J jnl
Adaptive Density Estimation for Personalized Recommendations Across Varied User Activity Levels.
IEEE Trans. Comput. Soc. Syst.
Wei Liu, Huaijie Zhu, Jianxing Yu, Libin Zheng, Jian Yin, Ruishi Liang, Xin Liu, Junyang Chen, Victor C. M. Leung
2025 J jnl
AlignSurvey: A Comprehensive Benchmark for Human Preferences Alignment in Social Surveys.
CoRR
Chenxi Lin, Weikang Yuan, Zhuoren Jiang, Biao Huang, Ruitao Zhang, Jianan Ge, Yueqian Xu, Jianxing Yu
2025 J jnl
An Efficient Fuzzy System for Complex Query Answering on Knowledge Graphs.
IEEE Trans. Knowl. Data Eng.
Yuyin Lu, Hegang Chen, Yanghui Rao, Jianxing Yu, Wen Hua, Qing Li
2025 J jnl
An Iteration-Free Fixed-Point Estimator for Diffusion Inversion.
CoRR
Yifei Chen, Kaiyu Song, Yan Pan, Jianxing Yu, Jian Yin, Hanjiang Lai
2025 — conf
Answering Complex Geographic Questions by Adaptive Reasoning with Visual Context and External Commonsense Knowledge.
ACL (1)
Fan Li, Jianxing Yu, Jielong Tang, Wenqing Chen, Hanjiang Lai, Yanghui Rao, Jian Yin
2025 — conf
Asking Diversified Reasonable Questions with External Commonsense Knowledge to Infer Inconsistency for Multi-modal Clickbait Detection.
DASFAA (2)
Jianxing Yu, Shiqi Wang, Qi Chen, Huaijie Zhu, Libin Zheng, Wenqing Chen, Jian Yin
2025 A* conf
Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learning.
AAAI
Qingqing Fang, Qinliang Su, Wenxi Lv, Wenchao Xu, Jianxing Yu
2025 — conf
CoE: A Clue of Emotion Framework for Emotion Recognition in Conversations.
ACL (1)
Zhiyu Shen, Yunhe Pang, Yanghui Rao, Jianxing Yu
2025 J jnl
CoS: Towards Optimal Event Scheduling via Chain-of-Scheduling.
CoRR
Yiming Zhao, Jiwei Tang, Shimin Di, Libin Zheng, Jianxing Yu, Jian Yin
2025 B conf
Detecting Emotional Incongruity of Sarcasm by Commonsense Reasoning.
COLING
Ziqi Qiu, Jianxing Yu, Yufeng Zhang, Hanjiang Lai, Yanghui Rao, Qinliang Su, Jian Yin
2025 Misc conf
DiffSTRec: A Diffusion-Based Framework for Spatiotemporal Next POI Recommendation.
WISA
Shun Wang, Xinyi Zhang, Di Wu, Junchao Zeng, Wei Liu, Jianxing Yu, Huaijie Zhu, Jian Yin
2025 J jnl
Diversified generation of commonsense reasoning questions.
Expert Syst. Appl.
Jianxing Yu, Shiqi Wang, Han Yin, Qi Chen, Wei Liu, Yanghui Rao, Qinliang Su
2025 A* conf
Eliciting Implicit Acoustic Styles from Open-domain Instructions to Facilitate Fine-grained Controllable Generation of Speech.
EMNLP
Jianxing Yu, Zihao Gou, Chen Li, Zhisheng Wang, Peiji Yang, Wenqing Chen, Jian Yin
2025 — conf
Emotion-Based Conversational Recommendation by Inferring Implicit Users' Preferences from Their Subjective Claims.
DASFAA (5)
Xuanming Zhang, Yonghe Lu, Jianxing Yu, Huaijie Zhu, Wei Liu, Wenqing Chen, Jian Yin
2025 J jnl
Functional Consistency of LLM Code Embeddings: A Self-Evolving Data Synthesis Framework for Benchmarking.
CoRR
Zhuohao Li, Wenqing Chen, Jianxing Yu, Zhichao Lu
2025 J jnl
GAFD-CC: Global-Aware Feature Decoupling with Confidence Calibration for OOD Detection.
CoRR
Kun Zou, Yongheng Xu, Jianxing Yu, Yan Pan, Jian Yin, Hanjiang Lai
2025 B conf
Generating Commonsense Reasoning Questions with Controllable Complexity through Multi-step Structural Composition.
COLING
Jianxing Yu, Shiqi Wang, Hanjiang Lai, Wenqing Chen, Yanghui Rao, Qinliang Su, Jian Yin
2025 J jnl
Geography-Aware Large Language Models for Next POI Recommendation.
CoRR
Zhao Liu, Wei Liu, Huajie Zhu, Jianxing Yu, Jian Yin, Wang-Chien Lee, Shun Wang
2025 J jnl
HPSU: A Benchmark for Human-Level Perception in Real-World Spoken Speech Understanding.
CoRR
Chen Li, Peiji Yang, Yicheng Zhong, Jianxing Yu, Zhisheng Wang, Zihao Gou, Wenqing Chen, Jian Yin
2025 A* conf
Multi-Grained Query-Guided Set Prediction Network for Grounded Multimodal Named Entity Recognition.
AAAI
Jielong Tang, Zhenxing Wang, Ziyang Gong, Jianxing Yu, Xiangwei Zhu, Jian Yin
2025 J jnl
One Signature, Multiple Payments: Demystifying and Detecting Signature Replay Vulnerabilities in Smart Contracts.
CoRR
Zexu Wang, Jiachi Chen, Zewei Lin, Wenqing Chen, Kaiwen Ning, Jianxing Yu, Yuming Feng, Yu Zhang, Weizhe Zhang, Zibin Zheng
2025 J jnl
ReFineG: Synergizing Small Supervised Models and LLMs for Low-Resource Grounded Multimodal NER.
CoRR
Jielong Tang, Shuang Wang, Zhenxing Wang, Jianxing Yu, Jian Yin
2025 J jnl
Resilience assessment of FPSO leakage emergency response based on quantitative FRAM.
Reliab. Eng. Syst. Saf.
Jianxing Yu, Qingze Zeng, Yang Yu, Baolei Zhang, Wentao Ma, Shibo Wu, Hongyu Ding, Zhenmian Li
2025 J jnl
Trace: Securing Smart Contract Repository Against Access Control Vulnerability.
CoRR
Chong Chen, Jiachi Chen, Lingfeng Bao, David Lo, Yanlin Wang, Zhenyu Shan, Ting Chen, Guangqiang Yin, Jianxing Yu, Zibin Zheng
2025 A* conf
UnCo: Uncertainty-Driven Collaborative Framework of Large and Small Models for Grounded Multimodal NER.
EMNLP
Jielong Tang, Yang Yang, Jianxing Yu, Zhen-Xing Wang, Haoyuan Liang, Liang Yao, Jian Yin
2025 J jnl
VideoQA in the Era of LLMs: An Empirical Study.
Int. J. Comput. Vis.
Junbin Xiao, Nanxin Huang, Hangyu Qin, Dongyang Li, Yicong Li, Fengbin Zhu, Zhulin Tao, Jianxing Yu, Liang Lin, Tat-Seng Chua, Angela Yao
2025 J jnl
When ChatGPT Meets Smart Contract Vulnerability Detection: How Far Are We?
ACM Trans. Softw. Eng. Methodol.
Chong Chen, Jianzhong Su, Jiachi Chen, Tingting Bi, Jianxing Yu, Yanlin Wang, Xingwei Lin, Ting Chen, Zibin Zheng
2024 J jnl
A novel failure mode and effect analysis model using personalized linguistic evaluations and the rule-based Bayesian network.
Eng. Appl. Artif. Intell.
Jianxing Yu, Ya Xu, Yang Yu, Shibo Wu
2024 — conf
Accelerating Training of Large Neural Models by Gradient-Based Growth Learning.
DASFAA (2)
Haowei Jiang, Jianxing Yu, Libin Zheng, Huaijie Zhu, Wei Liu, Jian Yin
2024 — conf
Answering Spatial Commonsense Questions Based on Chain-of-Thought Reasoning with Adaptive Complexity.
APWeb/WAIM (1)
Han Yin, Jianxing Yu, Miaopei Lin, Shiqi Wang
2024 J jnl
Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learning.
CoRR
Qingqing Fang, Qinliang Su, Wenxi Lv, Wenchao Xu, Jianxing Yu
2024 — conf
Domain Adaptation for Subjective Induction Questions Answering on Products by Adversarial Disentangled Learning.
ACL (1)
Yufeng Zhang, Jianxing Yu, Yanghui Rao, Libin Zheng, Qinliang Su, Huaijie Zhu, Jian Yin
2024 A* conf
Leveraging BERT and TFIDF Features for Short Text Clustering via Alignment-Promoting Co-Training.
EMNLP
Zetong Li, Qinliang Su, Shijing Si, Jianxing Yu
2024 — conf
Lifelong Hierarchical Topic Modeling via Nonparametric Word Embedding Clustering.
ECML/PKDD (8)
Jiaxing Yan, Yuyin Lu, Hegang Chen, Jianxing Yu, Yanghui Rao
2024 J jnl
Multi-Grained Query-Guided Set Prediction Network for Grounded Multimodal Named Entity Recognition.
CoRR
Jielong Tang, Zhenxing Wang, Ziyang Gong, Jianxing Yu, Shuang Wang, Jian Yin
2024 J jnl
Multi-Party Conversation Modeling for Emotion Recognition.
IEEE Trans. Affect. Comput.
Xiaojun Quan, Siyue Wu, Junqing Chen, Weizhou Shen, Jianxing Yu
2024 A* conf
Multimodal Clickbait Detection by De-confounding Biases Using Causal Representation Inference.
EMNLP
Jianxing Yu, Shiqi Wang, Han Yin, Zhenlong Sun, Ruobing Xie, Bo Zhang, Yanghui Rao
2024 J jnl
Multimodal Clickbait Detection by De-confounding Biases Using Causal Representation Inference.
CoRR
Jianxing Yu, Shiqi Wang, Han Yin, Zhenlong Sun, Ruobing Xie, Bo Zhang, Yanghui Rao
2024 — conf
Next POI Recommendation Based on Time Slot Preferences and Bidirectional Transformation Modeling.
WISE (3)
Zhao Liu, Wei Liu, Huaijie Zhu, Jianxing Yu, Jian Yin
2024 J jnl
Risk assessment of liquefied natural gas storage tank leakage using failure mode and effects analysis with Fermatean fuzzy sets and CoCoSo method.
Appl. Soft Comput.
Jianxing Yu, Hongyu Ding, Yang Yu, Shibo Wu, Qingze Zeng, Ya Xu
2024 J jnl
VAE*: A Novel Variational Autoencoder via Revisiting Positive and Negative Samples for Top-
ACM Trans. Knowl. Discov. Data
Wei Liu, Leong Hou U, Shangsong Liang, Huaijie Zhu, Jianxing Yu, Yubao Liu, Jian Yin
2024 — conf
Variational Kernel Density Estimation Recommendation Algorithm for Users with Diverse Activity Levels.
DASFAA (2)
Wei Liu, Shangsong Liang, Huaijie Zhu, Leong Hou U, Jianxing Yu, Xiang Li, Jian Yin
2024 J jnl
VideoQA in the Era of LLMs: An Empirical Study.
CoRR
Junbin Xiao, Nanxin Huang, Hangyu Qin, Dongyang Li, Yicong Li, Fengbin Zhu, Zhulin Tao, Jianxing Yu, Liang Lin, Tat-Seng Chua, Angela Yao
2023 — conf
A Knowledge-Enhanced Inferential Network for Cross-Modality Multi-hop VQA.
ADMA (2)
Shiqi Wang, Jianxing Yu, Miaopei Lin, Shuang Qiu, Xiaofeng Luo, Jian Yin
2023 J jnl
A Markov resilience assessment framework for tension leg platform under mooring failure.
Reliab. Eng. Syst. Saf.
Jingyi Wu, Yang Yu, Jianxing Yu, Xueying Chang, Lixin Xu, Wenhao Zhang
2023 — conf
Answering Spatial Commonsense Questions by Learning Domain-Invariant Generalization Knowledge.
APWeb-WAIM (2)
Miaopei Lin, Jianxing Yu, Shiqi Wang, Hanjiang Lai, Wei Liu, Jian Yin
2023 A* conf
Answering Subjective Induction Questions on Products by Summarizing Multi-sources Multi-viewpoints Knowledge.
ICDM
Yufeng Zhang, Mengxiang Wang, Jianxing Yu
2023 — conf
CSEC: A Chinese Semantic Error Correction Dataset for Written Correction.
ICONIP (5)
Wenxin Huang, Xiao Dong, Mengxiang Wang, Guangya Liu, Jianxing Yu, Huaijie Zhu, Jian Yin
2023 — conf
Community Detection in Temporal Biological Metabolic Networks Based on Semi-NMF Method with Node Similarity Fusion.
ADMA (4)
Xuanming Zhang, Jianxing Yu, Miaopei Lin, Shiqi Wang, Wei Liu, Jian Yin
2023 — conf
Discovery of Emotion Implicit Causes in Products Based on Commonsense Reasoning.
ADMA (1)
Qiutong Guo, Jianxing Yu, Yufeng Zhang, Haowei Jiang, Wei Liu, Jian Yin
2023 J jnl
Failure mode and effect analysis using the hesitant intuitionistic fuzzy hybrid GRP approach with ordered comprehensive weights.
Qual. Reliab. Eng. Int.
Jianxing Yu, Ya Xu, Yang Yu, Shibo Wu
2023 J jnl
Failure mode and effects analysis based on rough cloud model and MULTIMOORA method: Application to single-point mooring system.
Appl. Soft Comput.
Jianxing Yu, Qingze Zeng, Yang Yu, Shibo Wu, Hongyu Ding, Wentao Ma, Hantao Gao, Jiu Yang
2023 — conf
Generating Deep Questions with Commonsense Reasoning Ability from the Text by Disentangled Adversarial Inference.
ACL (Findings)
Jianxing Yu, Shiqi Wang, Libin Zheng, Qinliang Su, Wei Liu, Baoquan Zhao, Jian Yin
2023 — conf
Generating Enlightened Suggestions Based on Mental State Evolution for Emotional Support Conversation.
ADMA (1)
Mengjiao Gan, Jianxing Yu, Xiao Dong, Shuang Qiu, Wei Liu, Jian Yin
2023 A* conf
Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial Networks.
AAAI
Bowen Tian, Qinliang Su, Jianxing Yu
2023 J jnl
Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial Networks.
CoRR
Bowen Tian, Qinliang Su, Jianxing Yu
2023 J jnl
Multi-Hop Reasoning Question Generation and Its Application.
IEEE Trans. Knowl. Data Eng.
Jianxing Yu, Qinliang Su, Xiaojun Quan, Jian Yin
2023 — conf
Multi-modal Multi-emotion Emotional Support Conversation.
ADMA (1)
Guangya Liu, Xiao Dong, Mengxiang Wang, Jianxing Yu, Mengjiao Gan, Wei Liu, Jian Yin
2023 — conf
Revisiting Positive and Negative Samples in Variational Autoencoders for Top-N Recommendation.
DASFAA (2)
Wei Liu, Leong Hou U, Shangsong Liang, Huaijie Zhu, Jianxing Yu, Yubao Liu, Jian Yin
2023 — conf
Spatial Commonsense Reasoning for Machine Reading Comprehension.
ADMA (2)
Miaopei Lin, Mengxiang Wang, Jianxing Yu, Shiqi Wang, Hanjiang Lai, Wei Liu, Jian Yin
2023 J jnl
UniDiff: Advancing Vision-Language Models with Generative and Discriminative Learning.
CoRR
Xiao Dong, Runhui Huang, Xiaoyong Wei, Zequn Jie, Jianxing Yu, Jian Yin, Xiaodan Liang
2022 A* conf
Crowdsourced Fact Validation for Knowledge Bases.
ICDE
Libin Zheng, Peng Cheng, Lei Chen, Jianxing Yu, Xuemin Lin, Jian Yin
2022 A* conf
Efficient Document Retrieval by End-to-End Refining and Quantizing BERT Embedding with Contrastive Product Quantization.
EMNLP
Zexuan Qiu, Qinliang Su, Jianxing Yu, Shijing Si
2022 J jnl
Efficient Document Retrieval by End-to-End Refining and Quantizing BERT Embedding with Contrastive Product Quantization.
CoRR
Zexuan Qiu, Qinliang Su, Jianxing Yu, Shijing Si
2022 J jnl
Probabilistic multilevel robustness assessment framework for a TLP under mooring failure considering uncertainties.
Reliab. Eng. Syst. Saf.
Jingyi Wu, Yang Yu, Siyuan Cheng, Zhenmian Li, Jianxing Yu
2021 J jnl
Adaptive Cross-Lingual Question Generation with Minimal Resources.
Comput. J.
Jianxing Yu, Shiqi Wang, Jian Yin
2021 J jnl
An Approximate Inference Scheme Based on Distance-Induced Relations: Weld Forming Prediction.
IEEE Access
Ziquan Jiao, Zhiqiang Feng, Shanben Chen, Haifeng Chen, Jianxing Yu
2021 J jnl
DRG grouping by machine learning: from expert-oriented to data-based method.
BMC Medical Informatics Decis. Mak.
Xiaoting Liu, Chenhao Fang, Chao Wu, Jianxing Yu, Qi Zhao
2021 — conf
Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval.
ACL/IJCNLP (1)
Zijing Ou, Qinliang Su, Jianxing Yu, Bang Liu, Jingwen Wang, Ruihui Zhao, Changyou Chen, Yefeng Zheng
2021 J jnl
Integrating Semantics and Neighborhood Information with Graph-Driven Generative Models for Document Retrieval.
CoRR
Zijing Ou, Qinliang Su, Jianxing Yu, Bang Liu, Jingwen Wang, Ruihui Zhao, Changyou Chen, Yefeng Zheng
2021 A* conf
Multi-Document Transformer for Personality Detection.
AAAI
Feifan Yang, Xiaojun Quan, Yunyi Yang, Jianxing Yu
2021 — conf
Refining BERT Embeddings for Document Hashing via Mutual Information Maximization.
EMNLP (Findings)
Zijing Ou, Qinliang Su, Jianxing Yu, Ruihui Zhao, Yefeng Zheng, Bang Liu
2021 J jnl
Refining BERT Embeddings for Document Hashing via Mutual Information Maximization.
CoRR
Zijing Ou, Qinliang Su, Jianxing Yu, Ruihui Zhao, Yefeng Zheng, Bang Liu
2021 — conf
Retrieve & Memorize: Dialog Policy Learning with Multi-Action Memory.
ACL/IJCNLP (Findings)
Yunhao Li, Yunyi Yang, Xiaojun Quan, Jianxing Yu
2021 J jnl
Retrieve & Memorize: Dialog Policy Learning with Multi-Action Memory.
CoRR
Yunhao Li, Yunyi Yang, Xiaojun Quan, Jianxing Yu
2021 A* conf
Unsupervised Hashing with Contrastive Information Bottleneck.
IJCAI
Zexuan Qiu, Qinliang Su, Zijing Ou, Jianxing Yu, Changyou Chen
2021 J jnl
Unsupervised Hashing with Contrastive Information Bottleneck.
CoRR
Zexuan Qiu, Qinliang Su, Zijing Ou, Jianxing Yu, Changyou Chen
2020 B conf
Embedding Dynamic Attributed Networks by Modeling the Evolution Processes.
COLING
Zenan Xu, Zijing Ou, Qinliang Su, Jianxing Yu, Xiaojun Quan, Zhenkun Lin
2020 J jnl
Embedding Dynamic Attributed Networks by Modeling the Evolution Processes.
CoRR
Zenan Xu, Zijing Ou, Qinliang Su, Jianxing Yu, Xiaojun Quan, Zhenkun Lin
2020 A* conf
Generating Multi-hop Reasoning Questions to Improve Machine Reading Comprehension.
WWW
Jianxing Yu, Xiaojun Quan, Qinliang Su, Jian Yin
2020 A* conf
Low-Resource Generation of Multi-hop Reasoning Questions.
ACL
Jianxing Yu, Wei Liu, Shuang Qiu, Qinliang Su, Kai Wang, Xiaojun Quan, Jian Yin
2020 A* conf
Multi-Domain Dialogue Acts and Response Co-Generation.
ACL
Kai Wang, Junfeng Tian, Rui Wang, Xiaojun Quan, Jianxing Yu
2020 J jnl
Multi-Domain Dialogue Acts and Response Co-Generation.
CoRR
Kai Wang, Junfeng Tian, Rui Wang, Xiaojun Quan, Jianxing Yu
2019 — conf
Inferential Machine Comprehension: Answering Questions by Recursively Deducing the Evidence Chain from Text.
ACL (1)
Jianxing Yu, Zhengjun Zha, Jian Yin
2014 J jnl
Product Aspect Ranking and Its Applications.
IEEE Trans. Knowl. Data Eng.
Zheng-Jun Zha, Jianxing Yu, Jinhui Tang, Meng Wang, Tat-Seng Chua
2013 — ch.
Hierarchical Organization of Collaboratively Constructed Content.
The People's Web Meets NLP
Jianxing Yu, Zheng-Jun Zha, Tat-Seng Chua
2012 — conf
Answering Opinion Questions on Products by Exploiting Hierarchical Organization of Consumer Reviews.
EMNLP-CoNLL
Jianxing Yu, Zheng-Jun Zha, Tat-Seng Chua
2011 — conf
Application of Shuffled Frog-Leaping Algorithm in Web's Text Cluster Technology.
WISM (3)
Yun Fang, Jianxing Yu
2011 A* conf
Aspect Ranking: Identifying Important Product Aspects from Online Consumer Reviews.
ACL
Jianxing Yu, Zheng-Jun Zha, Meng Wang, Tat-Seng Chua
2011 A* conf
Domain-Assisted Product Aspect Hierarchy Generation: Towards Hierarchical Organization of Unstructured Consumer Reviews.
EMNLP
Jianxing Yu, Zheng-Jun Zha, Meng Wang, Kai Wang, Tat-Seng Chua
2011 — conf
Hierarchical organization of unstructured consumer reviews.
WWW (Companion Volume)
Jianxing Yu, Zheng-Jun Zha, Meng Wang, Tat-Seng Chua