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ORCIDLiang He 0001
Person information
- affiliation: East China Normal University, Department of Computer Science and Technology, Shanghai Key Laboratory of Multidimensional Information Processing, China
Other persons with the same name
- Liang He — disambiguation page
- Liang He 0002
![[0000-0003-0741-8795]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0741-8795")
— University of Nebraska Lincoln, School of Computing, Lincoln, NE, USA (and 5 more) - Liang He 0003 — Xinjiang University, School of Computer Science and Technology, Urumqi, China (and 1 more)
- Liang He 0004 — Fudan University, School of Economics, Shanghai, China
- Liang He 0005 — Purdue University,Polytechnic Institute, Department of Computer Graphics Technology, West Lafayette, IN, USA (and 1 more)
- Liang He 0006 — Xi'an Jiaotong University, School of Computer Science and Technology, China
- Liang He 0007 — University of Oxford, Department of Engineering Science, United Kingdom
- Liang He 0008 — University of North Carolina at Chapel Hill, Department of Computer Science, Chapel Hill, NC, USA
- Liang He 0009 — Nanjing University, State Key Laboratory for Novel Software Technology, Nanjing, China
- Liang He 0010 — Microsoft Research Asia, Beijing, China (and 1 more)
- Liang He 0011 — Chinese Academy of Sciences, Institute of Software, Trusted Computing and Information Assurance Laboratory, Beijing, China (and 1 more)
- Liang He 0012 — Shanghai Institute of Spaceflight Control Technology, Shanghai Key Laboratory of Aerospace Intelligence Control Technology, Shanghai, China (and 2 more)
- Liang He 0013 — Sichuan University, School of Mechanical Engineering, Chengdu, China (and 2 more)
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2020 – today
- 2024
[j55]Zhichao Fu, Xin Li, Tianyu Huai, Weijie Li, Daoguo Dong, Liang He:
Robust depth completion based on Semantic Aggregation. Appl. Intell. 54(5): 3825-3840 (2024)- [j54]Yanhong Bai, Jiabao Zhao, Tingjiang Wei, Qing Cai, Liang He:
A survey of explainable knowledge tracing. Appl. Intell. 54(8): 6483-6514 (2024) - [j53]Guangze Ye, Wen Wu, Liye Shi, Wenxin Hu, Xi Chen, Liang He:
A personality-guided preference aggregator for ephemeral group recommendation. Appl. Soft Comput. 167: 112274 (2024) - [j52]Shuwen Yang, Luwei Xiao, Xingjiao Wu, Junjie Xu, Linlin Wang, Liang He:
Simple contrastive learning in a self-supervised manner for robust visual question answering. Comput. Vis. Image Underst. 241: 103976 (2024) - [j51]Zhichao Fu, Anran Wu, Shuwen Yang, Tianlong Ma, Liang He:
CAFNet: Context aligned fusion for depth completion. Comput. Vis. Image Underst. 249: 104158 (2024) - [j50]Xingjiao Wu, Luwei Xiao, Xiangcheng Du, Yingbin Zheng, Xin Li, Tianlong Ma, Cheng Jin, Liang He:
Cross-domain document layout analysis using document style guide. Expert Syst. Appl. 245: 123039 (2024) - [j49]Luwei Xiao, Xingjiao Wu, Junjie Xu, Weijie Li, Cheng Jin, Liang He:
Atlantis: Aesthetic-oriented multiple granularities fusion network for joint multimodal aspect-based sentiment analysis. Inf. Fusion 106: 102304 (2024) - [j48]Feng Gao, Yan Yang, Peng Gao, Ming Gu, Shangqing Zhao, Yuefeng Chen, Hao Yuan, Man Lan, Aimin Zhou, Liang He:
Self-supervised BGP-graph reasoning enhanced complex KBQA via SPARQL generation. Inf. Process. Manag. 61(5): 103802 (2024) - [j47]Tianyu Huai, Shuwen Yang, Junhang Zhang, Jiabao Zhao, Liang He:
Debiased Visual Question Answering via the perspective of question types. Pattern Recognit. Lett. 178: 181-187 (2024) - [j46]Jie Zhou, Yuanbiao Lin, Qin Chen, Qi Zhang, Xuanjing Huang, Liang He:
CausalABSC: Causal Inference for Aspect Debiasing in Aspect-Based Sentiment Classification. IEEE ACM Trans. Audio Speech Lang. Process. 32: 830-840 (2024) - [j45]Yu Ji, Wen Wu, Yi Hu, Xi Chen, Wenxin Hu, Liang He:
Personality-driven experience storage and retrieval for sentiment classification. J. Supercomput. 80(13): 18627-18651 (2024) - [j44]Qin Ni, Yifei Mi, Yonghe Wu, Liang He, Yuhui Xu, Bo Zhang:
Design and Implementation of the Reliable Learning Style Recognition Mechanism Based on Fusion Labels and Ensemble Classification. IEEE Trans. Learn. Technol. 17: 241-257 (2024) - [j43]Jiabo Ye, Junfeng Tian, Ming Yan, Haiyang Xu, Qinghao Ye, Yaya Shi, Xiaoshan Yang, Xuwu Wang, Ji Zhang, Liang He, Xin Lin:
UniQRNet: Unifying Referring Expression Grounding and Segmentation with QRNet. ACM Trans. Multim. Comput. Commun. Appl. 20(8): 246:1-246:28 (2024) - [c185]Yuanyuan Mao, Xin Lin, Qin Ni, Liang He:
BDIQA: A New Dataset for Video Question Answering to Explore Cognitive Reasoning through Theory of Mind. AAAI 2024: 583-591 - [c184]Yan Cai, Linlin Wang, Ye Wang, Gerard de Melo, Ya Zhang, Yanfeng Wang, Liang He:
MedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models. AAAI 2024: 17709-17717 - [c183]Lang Yu, Qin Chen, Jie Zhou, Liang He:
MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA. AAAI 2024: 19449-19457 - [c182]Kedi Chen, Jie Zhou, Qin Chen, Shunyu Liu, Liang He:
A Regularization-based Transfer Learning Method for Information Extraction via Instructed Graph Decoder. LREC/COLING 2024: 1472-1485 - [c181]Zhenxiao Cheng, Jie Zhou, Wen Wu, Qin Chen, Liang He:
Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis. LREC/COLING 2024: 10274-10285 - [c180]Shunyu Liu, Jie Zhou, Qunxi Zhu, Qin Chen, Qingchun Bai, Jun Xiao, Liang He:
Let's Rectify Step by Step: Improving Aspect-based Sentiment Analysis with Diffusion Models. LREC/COLING 2024: 10324-10335 - [c179]Zhentao Xie, Jiabao Zhao, Yilei Wang, Jinxin Shi, Yanhong Bai, Xingjiao Wu, Liang He:
MindScope: Exploring Cognitive Biases in Large Language Models Through Multi-Agent Systems. ECAI 2024: 3308-3315 - [c178]Zhengjie Huang, Pingsheng Liu, Gerard de Melo, Liang He, Linlin Wang:
Generating Persona-Aware Empathetic Responses with Retrieval-Augmented Prompt Learning. ICASSP 2024: 12441-12445 - [c177]Licheng Wen, Daocheng Fu, Xin Li, Xinyu Cai, Tao Ma, Pinlong Cai, Min Dou, Botian Shi, Liang He, Yu Qiao:
DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models. ICLR 2024 - [c176]Weijie Li, Luwei Xiao, Xingjiao Wu, Tianlong Ma, Jiabao Zhao, Liang He:
Artistry in Pixels: FVS - A Framework for Evaluating Visual Elegance and Sentiment Resonance in Generated Images. ICME 2024: 1-6 - [c175]Shuwen Yang, Tianyu Huai, Anran Wu, Xingjiao Wu, Wenxin Hu, Liang He:
Enhancing Out-of-Distribution Generalization in VQA through Gini Impurity-guided Adaptive Margin Loss. ICME 2024: 1-6 - [c174]Jiabo Ye, Junfeng Tian, Xiaoshan Yang, Zhenru Zhang, Anwen Hu, Ming Yan, Ji Zhang, Liang He, Xin Lin:
VG-Annotator: Vision-Language Models as Query Annotators for Unsupervised Visual Grounding. ICME 2024: 1-6 - [c173]Baiyan Zhang, Qin Chen, Jie Zhou, Jian Jin, Liang He:
Enhancing Event Causality Identification with Rationale and Structure-Aware Causal Question Answering. IJCNN 2024: 1-8 - [c172]Anran Wu, Shuwen Yang, Yujia Xia, Xingjiao Wu, Tianlong Ma, Liang He:
Charting the Uncharted: Building and Analyzing a Multifaceted Chart Question Answering Dataset for Complex Logical Reasoning Process. PRCV (5) 2024: 18-33 - [c171]Linhao Ye, Zhikai Lei, Jianghao Yin, Qin Chen, Jie Zhou, Liang He:
Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check. SIGIR 2024: 2301-2305 - [c170]Xuanwen Ding, Qingshun Wang, Dan Liu, Lihua Xu, Jun Xiao, Bojun Zhang, Xue Li, Liang Dou, Liang He, Tao Xie:
FinHunter: Improved Search-Based Test Generation for Structural Testing of FinTech Systems. SIGSOFT FSE Companion 2024: 10-20 - [e2]Cheng Jin, Liang He, Mingli Song, Rui Wang:
Proceedings of the 2nd International Workshop on Multimedia Content Generation and Evaluation: New Methods and Practice, McGE 2024, Melbourne, VIC, Australia, 28 October 2024 - 1 November 2024. ACM 2024, ISBN 979-8-4007-1194-7 [contents] - [i66]Yuling Sun, Xiuqi Zhu, Xiaomu Zhou, Bingsheng Yao, Kai Zhang, Dakuo Wang, Jiaju Chen, Liang He:
Who Changed the Destiny of Rural Students, and How?: Unpacking ICT-Mediated Remote Education in Rural China. CoRR abs/2401.13799 (2024) - [i65]Yuling Sun, Jiali Liu, Bingsheng Yao, Jiaju Chen, Dakuo Wang, Xiaojuan Ma, Yuxuan Lu, Ying Xu, Liang He:
Exploring Parent's Needs for Children-Centered AI to Support Preschoolers' Storytelling and Reading Activities. CoRR abs/2401.13804 (2024) - [i64]Yuanyuan Mao, Xin Lin, Qin Ni, Liang He:
BDIQA: A New Dataset for Video Question Answering to Explore Cognitive Reasoning through Theory of Mind. CoRR abs/2402.07402 (2024) - [i63]Shunyu Liu, Jie Zhou, Qunxi Zhu, Qin Chen, Qingchun Bai, Jun Xiao, Liang He:
Let's Rectify Step by Step: Improving Aspect-based Sentiment Analysis with Diffusion Models. CoRR abs/2402.15289 (2024) - [i62]Zhenxiao Cheng, Jie Zhou, Wen Wu, Qin Chen, Liang He:
Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis. CoRR abs/2402.18145 (2024) - [i61]Kedi Chen, Jie Zhou, Qin Chen, Shunyu Liu, Liang He:
A Regularization-based Transfer Learning Method for Information Extraction via Instructed Graph Decoder. CoRR abs/2403.00891 (2024) - [i60]Kedi Chen, Qin Chen, Jie Zhou, Yishen He, Liang He:
DiaHalu: A Dialogue-level Hallucination Evaluation Benchmark for Large Language Models. CoRR abs/2403.00896 (2024) - [i59]Yanhong Bai, Jiabao Zhao, Tingjiang Wei, Qing Cai, Liang He:
A Survey of Explainable Knowledge Tracing. CoRR abs/2403.07279 (2024) - [i58]Yiyang Gu, Yougen Zhou, Qin Chen, Ningning Zhou, Jie Zhou, Aimin Zhou, Liang He:
Enhancing Depression-Diagnosis-Oriented Chat with Psychological State Tracking. CoRR abs/2403.09717 (2024) - [i57]Baiyan Zhang, Qin Chen, Jie Zhou, Jian Jin, Liang He:
Enhancing Event Causality Identification with Rationale and Structure-Aware Causal Question Answering. CoRR abs/2403.11129 (2024) - [i56]Linhao Ye, Zhikai Lei, Jianghao Yin, Qin Chen, Jie Zhou, Liang He:
Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check. CoRR abs/2403.18243 (2024) - [i55]Yanhong Bai, Jiabao Zhao, Jinxin Shi, Zhentao Xie, Xingjiao Wu, Liang He:
FairMonitor: A Dual-framework for Detecting Stereotypes and Biases in Large Language Models. CoRR abs/2405.03098 (2024) - [i54]Xuanwen Ding, Jie Zhou, Liang Dou, Qin Chen, Yuanbin Wu, Chengcai Chen, Liang He:
Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis. CoRR abs/2405.05496 (2024) - [i53]Hao Chen, Biaojie Zeng, Xin Lin, Liang He, Aimin Zhou:
DOP: Diagnostic-Oriented Prompting for Large Language Models in Mathematical Correction. CoRR abs/2405.12100 (2024) - [i52]Jianbiao Mei, Yukai Ma, Xuemeng Yang, Licheng Wen, Xinyu Cai, Xin Li, Daocheng Fu, Bo Zhang, Pinlong Cai, Min Dou, Botian Shi, Liang He, Yong Liu, Yu Qiao:
Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving. CoRR abs/2405.15324 (2024) - [i51]Yutao Yang, Jie Zhou, Xuanwen Ding, Tianyu Huai, Shunyu Liu, Qin Chen, Liang He, Yuan Xie:
Recent Advances of Foundation Language Models-based Continual Learning: A Survey. CoRR abs/2405.18653 (2024) - [i50]Yuhao Dan, Junfeng Tian, Jie Zhou, Ming Yan, Ji Zhang, Qin Chen, Liang He:
Modeling Comparative Logical Relation with Contrastive Learning for Text Generation. CoRR abs/2406.09095 (2024) - [i49]Yuhao Dan, Jie Zhou, Qin Chen, Junfeng Tian, Liang He:
P-Tailor: Customizing Personality Traits for Language Models via Mixture of Specialized LoRA Experts. CoRR abs/2406.12548 (2024) - [i48]Yuyang Ding, Hanglei Hu, Jie Zhou, Qin Chen, Bo Jiang, Liang He:
Boosting Large Language Models with Socratic Method for Conversational Mathematics Teaching. CoRR abs/2407.17349 (2024) - [i47]Xuemeng Yang, Licheng Wen, Yukai Ma, Jianbiao Mei, Xin Li, Tiantian Wei, Wenjie Lei, Daocheng Fu, Pinlong Cai, Min Dou, Botian Shi, Liang He, Yong Liu, Yu Qiao:
DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving. CoRR abs/2408.00415 (2024) - [i46]Ziang Liu, Junjie Xu, Xingjiao Wu, Jing Yang, Liang He:
Multi-Type Preference Learning: Empowering Preference-Based Reinforcement Learning with Equal Preferences. CoRR abs/2409.07268 (2024) - 2023
- [j42]Jiayi Chen, Wen Wu, Liye Shi, Wei Zheng, Liang He:
Long-tail session-based recommendation from calibration. Appl. Intell. 53(4): 4685-4702 (2023) - [j41]Qin Ni, Tingjiang Wei, Jiabao Zhao, Liang He, Chanjin Zheng:
HHSKT: A learner-question interactions based heterogeneous graph neural network model for knowledge tracing. Expert Syst. Appl. 215: 119334 (2023) - [j40]Jie Zhou, Junfeng Tian, Rui Wang, Yuanbin Wu, Ming Yan, Liang He, Xuanjing Huang:
Multi-modal multi-hop interaction network for dialogue response generation. Expert Syst. Appl. 227: 120267 (2023) - [j39]Liye Shi, Wen Wu, Jiayi Chen, Wenxin Hu, Wei Zheng, Xi Chen, Liang He:
SMAR: Summary-Aware Multi-Aspect Recommendation. Neurocomputing 555: 126614 (2023) - [j38]Xingjiao Wu, Tianlong Ma, Xiangcheng Du, Ziling Hu, Jing Yang, Liang He:
DRFN: A unified framework for complex document layout analysis. Inf. Process. Manag. 60(3): 103339 (2023) - [j37]Luwei Xiao, Xingjiao Wu, Shuwen Yang, Junjie Xu, Jie Zhou, Liang He:
Cross-modal fine-grained alignment and fusion network for multimodal aspect-based sentiment analysis. Inf. Process. Manag. 60(6): 103508 (2023) - [j36]Yu Ji, Wen Wu, Yi Hu, Xi Chen, Jiayi Chen, Wenxin Hu, Liang He:
Personality-assisted mood modeling with historical reviews for sentiment classification. Inf. Sci. 649: 119645 (2023) - [j35]Yuling Sun, Xiaojuan Ma, Silvia Lindtner, Liang He:
Data Work of Frontline Care Workers: Practices, Problems, and Opportunities in the Context of Data-Driven Long-Term Care. Proc. ACM Hum. Comput. Interact. 7(CSCW1): 1-28 (2023) - [j34]Yuling Sun, Xiaojuan Ma, Silvia Lindtner, Liang He:
Care Workers' Wellbeing in Data-Driven Healthcare Workplace: Identity, Agency, and Social Justice. Proc. ACM Hum. Comput. Interact. 7(CSCW2): 1-29 (2023) - [c169]Pingsheng Liu, Zhengjie Huang, Xiechi Zhang, Linlin Wang, Gerard de Melo, Xin Lin, Liang Pang, Liang He:
A Disentangled-Attention Based Framework with Persona-Aware Prompt Learning for Dialogue Generation. AAAI 2023: 13255-13263 - [c168]Linlin Wang, Zefeng Cai, Gerard de Melo, Zhu Cao, Liang He:
Disentangled CVAEs with Contrastive Learning for Explainable Recommendation. AAAI 2023: 13691-13699 - [c167]Bangyan Li, Junyan Mao, Xingjiao Wu, Yuling Sun, Liang He:
A Dynamic Composite Ensemble Learning Framework for Multi-Stage Dementia Prediction. BIBM 2023: 867-872 - [c166]Xin Li, Tao Ma, Yuenan Hou, Botian Shi, Yuchen Yang, Youquan Liu, Xingjiao Wu, Qin Chen, Yikang Li, Yu Qiao, Liang He:
LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross- Modal Fusion. CVPR 2023: 17524-17534 - [c165]Jiabo Ye, Anwen Hu, Haiyang Xu, Qinghao Ye, Ming Yan, Guohai Xu, Chenliang Li, Junfeng Tian, Qi Qian, Ji Zhang, Qin Jin, Liang He, Xin Lin, Fei Huang:
UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model. EMNLP (Findings) 2023: 2841-2858 - [c164]Yuxi Feng, Linlin Wang, Zhu Cao, Liang He:
PCDialogEval: Persona and Context Aware Emotional Dialogue Evaluation. ICANN (9) 2023: 152-165 - [c163]Zhenxiao Cheng, Jie Zhou, Wen Wu, Qin Chen, Liang He:
Tell Model Where to Attend: Improving Interpretability of Aspect-Based Sentiment Classification via Small Explanation Annotations. ICASSP 2023: 1-5 - [c162]Jianglin Jin, Jiabo Ye, Xin Lin, Liang He:
Pseudo-Query Generation For Semi-Supervised Visual Grounding With Knowledge Distillation. ICASSP 2023: 1-5 - [c161]Jiancai Zhu, Jiabao Zhao, Jiayi Zhou, Liang He, Jing Yang, Zhi Zhang:
Uncertainty-Aware Few-Shot Class-Incremental Learning. ICASSP 2023: 1-5 - [c160]Tao Ma, Xuemeng Yang, Hongbin Zhou, Xin Li, Botian Shi, Junjie Liu, Yuchen Yang, Zhizheng Liu, Liang He, Yu Qiao, Yikang Li, Hongsheng Li:
DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds. ICCV 2023: 6713-6724 - [c159]Wenwen Qu, Weixi Zhang, Ji Cheng, Chaorui Zhang, Wei Han, Bo Bai, Chen Jason Zhang, Liang He, Xiaoling Wang:
Optimizing Graph Partition by Optimal Vertex-Cut: A Holistic Approach. ICDE 2023: 1019-1031 - [c158]Zefeng Cai, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Xin Alex Lin, Liang He, Daxin Jiang:
HypeR: Multitask Hyper-Prompted Training Enables Large-Scale Retrieval Generalization. ICLR 2023 - [c157]Tianyu Huai, Shuwen Yang, Junhang Zhang, Guoan Wang, Xinru Yu, Tianlong Ma, Liang He:
SQT: Debiased Visual Question Answering via Shuffling Question Types. ICME 2023: 600-605 - [c156]Junhang Zhang, Zisong Zhuang, Luwei Xiao, Xingjiao Wu, Tianlong Ma, Liang He:
Dual-Expert Distillation Network for Few-Shot Segmentation. ICME 2023: 720-725 - [c155]Zhikai Lei, Jie Zhou, Qin Chen, Qi Zhang, Liang He:
Informative Prompt Learning for Low-Shot Commonsense Question Answering via Fine-Grained Redundancy Reduction. ICONIP (14) 2023: 377-390 - [c154]Renjie Zheng, Qin Chen, Jie Zhou, Junfeng Tian, Liang He:
Modeling Intra- and Inter-Modal Alignment with Optimal Transport for Visual Dialog. ICTAI 2023: 805-812 - [c153]Lang Yu, Qin Chen, Jiaju Lin, Liang He:
Black-box Prompt Tuning for Vision-Language Model as a Service. IJCAI 2023: 1686-1694 - [c152]Jiawei Liu, Xin Lin, Liang He:
Image Alone Are Not Enough: A General Semantic-Augmented Transformer-Based Framework for Image Captioning. IJCNN 2023: 1-8 - [c151]Cheng Jin, Liang He, Mingli Song, Rui Wang:
McGE '23: 1st International Workshop on Multimedia Content Generation and Evaluation: New Methods and Practice. ACM Multimedia 2023: 9721-9722 - [e1]Cheng Jin, Liang He, Mingli Song, Rui Wang:
Proceedings of the 1st International Workshop on Multimedia Content Generation and Evaluation: New Methods and Practice, McGE 2023, Ottawa, ON, Canada, 29 October 2023. ACM 2023 [contents] - [i45]Zhenxiao Cheng, Jie Zhou, Wen Wu, Qin Chen, Liang He:
Tell Model Where to Attend: Improving Interpretability of Aspect-Based Sentiment Classification via Small Explanation Annotations. CoRR abs/2302.10479 (2023) - [i44]Xin Li, Tao Ma, Yuenan Hou, Botian Shi, Yuchen Yang, Youquan Liu, Xingjiao Wu, Qin Chen, Yikang Li, Yu Qiao, Liang He:
LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal Fusion. CoRR abs/2303.03595 (2023) - [i43]Yuanyuan Mao, Shuang Liu, Pengshuai Zhao, Qin Ni, Xin Lin, Liang He:
A Review on Machine Theory of Mind. CoRR abs/2303.11594 (2023) - [i42]Guangze Ye, Wen Wu, Liye Shi, Wenxin Hu, Xin Chen, Liang He:
PEGA: Personality-Guided Preference Aggregator for Ephemeral Group Recommendation. CoRR abs/2304.08851 (2023) - [i41]Xiaotian Zhang, Chunyang Li, Yi Zong, Zhengyu Ying, Liang He, Xipeng Qiu:
Evaluating the Performance of Large Language Models on GAOKAO Benchmark. CoRR abs/2305.12474 (2023) - [i40]Tao Ma, Xuemeng Yang, Hongbin Zhou, Xin Li, Botian Shi, Junjie Liu, Yuchen Yang, Zhizheng Liu, Liang He, Yu Qiao, Yikang Li, Hongsheng Li:
DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds. CoRR abs/2306.06023 (2023) - [i39]Yu Ji, Wen Wu, Hong Zheng, Yi Hu, Xi Chen, Liang He:
Is ChatGPT a Good Personality Recognizer? A Preliminary Study. CoRR abs/2307.03952 (2023) - [i38]Yuhao Dan, Zhikai Lei, Yiyang Gu, Yong Li, Jianghao Yin, Jiaju Lin, Linhao Ye, Zhiyan Tie, Yougen Zhou, Yilei Wang, Aimin Zhou, Ze Zhou, Qin Chen, Jie Zhou, Liang He, Xipeng Qiu:
EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education. CoRR abs/2308.02773 (2023) - [i37]Yanhong Bai, Jiabao Zhao, Jinxin Shi, Tingjiang Wei, Xingjiao Wu, Liang He:
FairBench: A Four-Stage Automatic Framework for Detecting Stereotypes and Biases in Large Language Models. CoRR abs/2308.10397 (2023) - [i36]Jinxin Shi, Jiabao Zhao, Yilei Wang, Xingjiao Wu, Jiawen Li, Liang He:
CGMI: Configurable General Multi-Agent Interaction Framework. CoRR abs/2308.12503 (2023) - [i35]Peng Zhang, Xin Li, Liang He, Xin Lin:
3D Multiple Object Tracking on Autonomous Driving: A Literature Review. CoRR abs/2309.15411 (2023) - [i34]Licheng Wen, Daocheng Fu, Xin Li, Xinyu Cai, Tao Ma, Pinlong Cai, Min Dou, Botian Shi, Liang He, Yu Qiao:
DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models. CoRR abs/2309.16292 (2023) - [i33]Jiabo Ye, Anwen Hu, Haiyang Xu, Qinghao Ye, Ming Yan, Guohai Xu, Chenliang Li, Junfeng Tian, Qi Qian, Ji Zhang, Qin Jin, Liang He, Xin Alex Lin, Fei Huang:
UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model. CoRR abs/2310.05126 (2023) - [i32]Shuwen Yang, Anran Wu, Xingjiao Wu, Luwei Xiao, Tianlong Ma, Cheng Jin, Liang He:
Progressive Evidence Refinement for Open-domain Multimodal Retrieval Question Answering. CoRR abs/2310.09696 (2023) - [i31]Anran Wu, Luwei Xiao, Xingjiao Wu, Shuwen Yang, Junjie Xu, Zisong Zhuang, Nian Xie, Cheng Jin, Liang He:
DCQA: Document-Level Chart Question Answering towards Complex Reasoning and Common-Sense Understanding. CoRR abs/2310.18983 (2023) - [i30]Weijie Li, Yitian Wan, Xingjiao Wu, Junjie Xu, Cheng Jin, Liang He:
UMAAF: Unveiling Aesthetics via Multifarious Attributes of Images. CoRR abs/2311.11306 (2023) - [i29]Xin Li, Yeqi Bai, Pinlong Cai, Licheng Wen, Daocheng Fu, Bo Zhang, Xuemeng Yang, Xinyu Cai, Tao Ma, Jianfei Guo, Xing Gao, Min Dou, Yikang Li, Botian Shi, Yong Liu, Liang He, Yu Qiao:
Towards Knowledge-driven Autonomous Driving. CoRR abs/2312.04316 (2023) - [i28]Wentao Liu, Hanglei Hu, Jie Zhou, Yuyang Ding, Junsong Li, Jiayi Zeng, Mengliang He, Qin Chen, Bo Jiang, Aimin Zhou, Liang He:
Mathematical Language Models: A Survey. CoRR abs/2312.07622 (2023) - [i27]Yu Ji, Wen Wu, Yi Hu, Hong Zheng, Liang He:
Metacognition-Enhanced Few-Shot Prompting With Positive Reinforcement. CoRR abs/2312.08642 (2023) - [i26]Lang Yu, Qin Chen, Jie Zhou, Liang He:
MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA. CoRR abs/2312.11795 (2023) - [i25]Yan Cai, Linlin Wang, Ye Wang, Gerard de Melo, Ya Zhang, Yanfeng Wang, Liang He:
MedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models. CoRR abs/2312.12806 (2023) - 2022
- [j33]Xingjiao Wu, Luwei Xiao, Yixuan Sun, Junhang Zhang, Tianlong Ma, Liang He:
A survey of human-in-the-loop for machine learning. Future Gener. Comput. Syst. 135: 364-381 (2022) - [j32]Zhichao Fu, Yingbin Zheng, Tianlong Ma, Hao Ye, Jing Yang, Liang He:
Edge-aware deep image deblurring. Neurocomputing 502: 37-47 (2022) - [j31]Liye Shi, Wen Wu, Wang Guo, Wenxin Hu, Jiayi Chen, Wei Zheng, Liang He:
SENGR: Sentiment-Enhanced Neural Graph Recommender. Inf. Sci. 589: 655-669 (2022) - [j30]Zijing Yang, Jiabo Ye, Linlin Wang, Xin Lin, Liang He:
Inferring substitutable and complementary products with Knowledge-Aware Path Reasoning based on dynamic policy network. Knowl. Based Syst. 235: 107579 (2022) - [j29]Liye Shi, Wen Wu, Wenxin Hu, Jie Zhou, Jiayi Chen, Wei Zheng, Liang He:
DualGCN: An Aspect-Aware Dual Graph Convolutional Network for review-based recommender. Knowl. Based Syst. 242: 108359 (2022) - [j28]Yuling Sun, Xiaojuan Ma, Kai Ye, Liang He:
Investigating Crowdworkers' Identify, Perception and Practices in Micro-Task Crowdsourcing. Proc. ACM Hum. Comput. Interact. 6(GROUP): 35:1-35:20 (2022) - [j27]Qingchun Bai, Jie Zhou, Liang He:
PG-RNN: using position-gated recurrent neural networks for aspect-based sentiment classification. J. Supercomput. 78(3): 4073-4094 (2022) - [c150]Zefeng Cai, Linlin Wang, Gerard de Melo, Fei Sun, Liang He:
Multi-Scale Distribution Deep Variational Autoencoder for Explanation Generation. ACL (Findings) 2022: 68-78 - [c149]ZhenDong Tan, Yan Yang, Bo Li, Beilei Wang, Gang Jin, Chengcai Chen, Liang He:
Prompt Enhanced Generative MRC Framework for Pancreatic Cancer NER. BIBM 2022: 817-820 - [c148]Yu Ji, Wen Wu, Yi Hu, Xiaofeng He, Changzhi Chen, Liang He:
Automatic Personality Prediction Based on Users' Chinese Handwriting Change. ChineseCSCW (2) 2022: 435-449 - [c147]Jie Zhou, Qi Zhang, Qin Chen, Liang He, Xuanjing Huang:
A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck. COLING 2022: 1990-2000 - [c146]Shaobin Chen, Jie Zhou, Yuling Sun, Liang He:
An Information Minimization Based Contrastive Learning Model for Unsupervised Sentence Embeddings Learning. COLING 2022: 4821-4831 - [c145]Jiabo Ye, Junfeng Tian, Ming Yan, Xiaoshan Yang, Xuwu Wang, Ji Zhang, Liang He, Xin Lin:
Shifting More Attention to Visual Backbone: Query-modulated Refinement Networks for End-to-End Visual Grounding. CVPR 2022: 15481-15491 - [c144]Qimin Ban, Wen Wu, Wenxin Hu, Hui Lin, Wei Zheng, Liang He:
Knowledge-Enhanced Multi-task Learning for Course Recommendation. DASFAA (2) 2022: 85-101 - [c143]Liye Shi, Wen Wu, Yu Ji, Luping Feng, Liang He:
PMAR: Multi-aspect Recommendation Based on Psychological Gap. DASFAA (2) 2022: 118-133 - [c142]Xin Li, Botian Shi, Yuenan Hou, Xingjiao Wu, Tianlong Ma, Yikang Li, Liang He:
Homogeneous Multi-modal Feature Fusion and Interaction for 3D Object Detection. ECCV (38) 2022: 691-707 - [c141]Changqun Li, Linlin Wang, Xin Lin, Gerard de Melo, Liang He:
Curriculum Prompt Learning with Self-Training for Abstractive Dialogue Summarization. EMNLP 2022: 1096-1106 - [c140]Junhang Zhang, Zisong Zhuang, Junjie Xu, Tianlong Ma, Liang He:
BPGG: Bidirectional Prototype Generation and Guidance Network for Few-Shot Anomaly Localization. ICANN (3) 2022: 24-36 - [c139]Yuhao Dan, Jie Zhou, Qin Chen, Qingchun Bai, Liang He:
Enhancing Class Understanding Via Prompt-Tuning For Zero-Shot Text Classification. ICASSP 2022: 4303-4307 - [c138]Luwei Xiao, Xingjiao Wu, Wen Wu, Jing Yang, Liang He:
Multi-Channel Attentive Graph Convolutional Network with Sentiment Fusion for Multimodal Sentiment Analysis. ICASSP 2022: 4578-4582 - [c137]Ejian Zhou, Xingjiao Wu, Luwei Xiao, Xiangcheng Du, Tianlong Ma, Liang He:
Document Layout Analysis Via Positional Encoding. ICIP 2022: 1156-1160 - [c136]Shuwen Yang, Zhichao Fu, Xingjiao Wu, Xiangcheng Du, Tianlong Ma, Liang He:
3D Clues Guided Convolution for Depth Completion. ICIP 2022: 2132-2136 - [c135]Zisong Zhuang, Junhang Zhang, Luwei Xiao, Tianlong Ma, Liang He:
PGTNet: Prototype Guided Transfer Network for Few-Shot Anomaly Localization. ICIP 2022: 2321-2325 - [c134]Luwei Xiao, Ejian Zhou, Xingjiao Wu, Shuwen Yang, Tianlong Ma, Liang He:
Adaptive Multi-Feature Extraction Graph Convolutional Networks for Multimodal Target Sentiment Analysis. ICME 2022: 1-6 - [c133]Shuwen Yang, Luwei Xiao, Junhang Zhang, Zhichao Fu, Tianlong Ma, Liang He:
Depth Completion via A Dual-Fusion Method. ICPR 2022: 3686-3691 - [c132]Jiaju Lin, Qin Chen, Jie Zhou, Jian Jin, Liang He:
CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument Extraction. IJCAI 2022: 4245-4251 - [c131]Zhanyi Chen, Changqun Li, Linlin Wang, Liang He:
Abstractive Dialogue Summarization Based on Dynamic Pattern Exploiting Training. IJCNN 2022: 1-7 - [c130]Junjie Xu, Shuwen Yang, Luwei Xiao, Zhichao Fu, Xingjiao Wu, Tianlong Ma, Liang He:
Graph Convolution over the Semantic-syntactic Hybrid Graph Enhanced by Affective Knowledge for Aspect-level Sentiment Classification. IJCNN 2022: 1-8 - [c129]Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Jun Xiao, Liang He:
A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis. IJCNN 2022: 1-8 - [c128]Xinghai Zheng, Qimin Ban, Wen Wu, Jiayi Chen, Jun Xiao, Lamei Wang, Wei Zheng, Liang He:
Learner Profile based Knowledge Tracing. IJCNN 2022: 1-8 - [c127]Hongyang Zhou, Jiayi Chen, Wen Wu, Wenxin Hu, Wei Zheng, Liang He:
Unexp-DIN: Unexpected Deep Interest Network for Recommendation. IJCNN 2022: 1-8 - [c126]Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Jun Xiao, Liang He:
ECNU_ICA at SemEval-2022 Task 10: A Simple and Unified Model for Monolingual and Crosslingual Structured Sentiment Analysis. SemEval@NAACL 2022: 1336-1342 - [c125]Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Liang He:
Enhancing Event-Level Sentiment Analysis with Structured Arguments. SIGIR 2022: 1944-1949 - [i24]Xingjiao Wu, Luwei Xiao, Xiangcheng Du, Yingbin Zheng, Xin Li, Tianlong Ma, Liang He:
Cross-Domain Document Layout Analysis via Unsupervised Document Style Guide. CoRR abs/2201.09407 (2022) - [i23]Luwei Xiao, Xingjiao Wu, Wen Wu, Jing Yang, Liang He:
Multi-channel Attentive Graph Convolutional Network With Sentiment Fusion For Multimodal Sentiment Analysis. CoRR abs/2201.10274 (2022) - [i22]Jiabo Ye, Junfeng Tian, Ming Yan, Xiaoshan Yang, Xuwu Wang, Ji Zhang, Liang He, Xin Lin:
Shifting More Attention to Visual Backbone: Query-modulated Refinement Networks for End-to-End Visual Grounding. CoRR abs/2203.15442 (2022) - [i21]Jiayi Chen, Wen Wu, Liye Shi, Wei Zheng, Liang He:
DACSR: Dual-Aggregation End-to-End Calibrated Sequential Recommendation. CoRR abs/2204.10796 (2022) - [i20]Jiaju Lin, Qin Chen, Jie Zhou, Jian Jin, Liang He:
CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument Extraction. CoRR abs/2205.00498 (2022) - [i19]Qi Zhang, Jie Zhou, Qin Chen, Qinchun Bai, Liang He:
Enhancing Event-Level Sentiment Analysis with Structured Arguments. CoRR abs/2205.15511 (2022) - [i18]Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Jun Xiao, Liang He:
A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis. CoRR abs/2205.15514 (2022) - [i17]Jie Zhou, Qi Zhang, Qin Chen, Liang He, Xuanjing Huang:
A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck. CoRR abs/2208.13017 (2022) - [i16]Shaobin Chen, Jie Zhou, Yuling Sun, Liang He:
An Information Minimization Based Contrastive Learning Model for Unsupervised Sentence Embeddings Learning. CoRR abs/2209.10951 (2022) - [i15]Xin Li, Botian Shi, Yuenan Hou, Xingjiao Wu, Tianlong Ma, Yikang Li, Liang He:
Homogeneous Multi-modal Feature Fusion and Interaction for 3D Object Detection. CoRR abs/2210.09615 (2022) - [i14]Jiayi Chen, Wen Wu, Liye Shi, Yu Ji, Wenxin Hu, Xi Chen, Wei Zheng, Liang He:
C3SASR: Cheap Causal Convolutions for Self-Attentive Sequential Recommendation. CoRR abs/2211.01297 (2022) - 2021
- [j26]Qingchun Bai, Yuanbin Wu, Jie Zhou, Liang He:
Aligned variational autoencoder for matching danmaku and video storylines. Neurocomputing 454: 228-237 (2021) - [j25]Jie Zhou, Jiabao Zhao, Jimmy Xiangji Huang, Qinmin Vivian Hu, Liang He:
MASAD: A large-scale dataset for multimodal aspect-based sentiment analysis. Neurocomputing 455: 47-58 (2021) - [j24]Xingjiao Wu, Yingbin Zheng, Tianlong Ma, Hao Ye, Liang He:
Document image layout analysis via explicit edge embedding network. Inf. Sci. 577: 436-448 (2021) - [j23]Qingchun Bai, Kai Wei, Jie Zhou, Chao Xiong, Yuanbin Wu, Xin Lin, Liang He:
Entity-level sentiment prediction in Danmaku video interaction. J. Supercomput. 77(9): 9474-9493 (2021) - [c124]Jiabao Zhao, Yifan Yang, Xin Lin, Jing Yang, Liang He:
Looking Wider for Better Adaptive Representation in Few-Shot Learning. AAAI 2021: 10981-10989 - [c123]Jie Zhou, Yuanbin Wu, Qin Chen, Xuanjing Huang, Liang He:
Attending via both Fine-tuning and Compressing. ACL/IJCNLP (Findings) 2021: 2152-2161 - [c122]Qingyu Xu, Yuling Sun, Liang He:
Design Considerations for Information Collaboration in Long-term Senior Care System. CSCWD 2021: 1040-1045 - [c121]Mengwen Liang, Jie Zhou, Yuling Sun, Liang He:
Working with Few Samples: Methods that Help Analyze Social Attitude and Personal Emotion. CSCWD 2021: 1135-1140 - [c120]Jie Zhou, Yuanbin Wu, Changzhi Sun, Liang He:
Is "hot pizza" Positive or Negative? Mining Target-aware Sentiment Lexicons. EACL 2021: 608-618 - [c119]Yucheng Li, Yan Yang, Qinmin Hu, Chengcai Chen, Liang He:
An Argument Extraction Decoder in Open Information Extraction. ECIR (1) 2021: 313-326 - [c118]Jun Zhang, Yan Yang, Chencai Chen, Liang He, Zhou Yu:
KERS: A Knowledge-Enhanced Framework for Recommendation Dialog Systems with Multiple Subgoals. EMNLP (Findings) 2021: 1092-1101 - [c117]Jiabao Zhao, Xin Lin, Yifan Yang, Jing Yang, Liang He:
Cross-Modal Knowledge Distillation For Fine-Grained One-Shot Classification. ICASSP 2021: 4295-4299 - [c116]Xingjiao Wu, Ziling Hu, Xiangcheng Du, Jing Yang, Liang He:
Document Layout Analysis via Dynamic Residual Feature Fusion. ICME 2021: 1-6 - [c115]Jiayi Chen, Wen Wu, Wenxin Hu, Wei Zheng, Liang He:
SSR: Explainable Session-based Recommendation. IJCNN 2021: 1-8 - [c114]Siyu Tao, Qian Zhao, Linlin Wang, Liang He:
Multi -Turn Response Selection with Temporal Gated Graph Convolutional Networks. IJCNN 2021: 1-8 - [c113]Zijing Yang, Xin Lin, Linlin Wang, Liang He, Yixin Chen, Zhaohui Yang:
Employer-Employee Network for Conversational Recommendation. IJCNN 2021: 1-8 - [c112]Qingshun Wang, Lihua Xu, Jun Xiao, Qi Guo, Haotian Zhang, Liang Dou, Liang He, Tao Xie:
FinFuzzer: One Step Further in Fuzzing Fintech Systems. ASE 2021: 1111-1115 - [c111]Jiabo Ye, Xin Lin, Liang He, Dingbang Li, Qin Chen:
One-Stage Visual Grounding via Semantic-Aware Feature Filter. ACM Multimedia 2021: 1702-1711 - [c110]Haonan Qiu, Pan He, Shuchun Liu, Weiyuan Shao, Feiyun Zhang, Jiajun Wang, Liang He, Feng Wang:
Ego-Deliver: A Large-Scale Dataset For Egocentric Video Analysis. ACM Multimedia 2021: 1847-1855 - [c109]Zhichao Fu, Tianlong Ma, Liang Xue, Yingbin Zheng, Hao Ye, Liang He:
A Coarse-to-fine Approach for Fast Super-Resolution with Flexible Magnification. MMAsia 2021: 34:1-34:5 - [c108]Pingsheng Liu, Linlin Wang, Qian Zhao, Hao Chen, Yuxi Feng, Xin Lin, Liang He:
ECNU_ICA_1 SemEval-2021 Task 4: Leveraging Knowledge-enhanced Graph Attention Networks for Reading Comprehension of Abstract Meaning. SemEval@ACL/IJCNLP 2021: 183-188 - [c107]Jiaju Lin, Jing Ling, Zhiwei Wang, Jiawei Liu, Qin Chen, Liang He:
ECNUICA at SemEval-2021 Task 11: Rule based Information Extraction Pipeline. SemEval@ACL/IJCNLP 2021: 1295-1302 - [i13]Xingjiao Wu, Ziling Hu, Xiangcheng Du, Jing Yang, Liang He:
Document Layout Analysis via Dynamic Residual Feature Fusion. CoRR abs/2104.02874 (2021) - [i12]Xingjiao Wu, Luwei Xiao, Yixuan Sun, Junhang Zhang, Tianlong Ma, Liang He:
A Survey of Human-in-the-loop for Machine Learning. CoRR abs/2108.00941 (2021) - [i11]Xingjiao Wu, Tianlong Ma, Xin Li, Qin Chen, Liang He:
Human-In-The-Loop Document Layout Analysis. CoRR abs/2108.02095 (2021) - [i10]Zijing Yang, Jiabo Ye, Linlin Wang, Xin Lin, Liang He:
Inferring Substitutable and Complementary Products with Knowledge-Aware Path Reasoning based on Dynamic Policy Network. CoRR abs/2110.03276 (2021) - [i9]Jiayi Chen, Wen Wu, Wei Zheng, Liang He:
Long-Tail Session-based Recommendation from Calibration. CoRR abs/2112.02581 (2021) - 2020
- [j22]Jianfeng Yu, Yan Yang, Chengcai Chen, Liang He, Zhou Yu:
DAFA: Dialog System Domain Adaptation With a Filter and an Amplifier. IEEE Access 8: 45041-45049 (2020) - [j21]Liang Zhang, Yan Yang, Jie Zhou, Chengcai Chen, Liang He:
Retrieval-Polished Response Generation for Chatbot. IEEE Access 8: 123882-123890 (2020) - [j20]Jie Zhou, Jimmy Xiangji Huang, Qinmin Vivian Hu, Liang He:
Is position important? deep multi-task learning for aspect-based sentiment analysis. Appl. Intell. 50(10): 3367-3378 (2020) - [j19]Zhefan Zhong, Xin Lin, Liang He:
Answering range-based reverse kNN and why-not reverse kNN queries. Frontiers Comput. Sci. 14(1): 233-235 (2020) - [j18]Xingjiao Wu, Shuchen Kong, Yingbin Zheng, Hao Ye, Jing Yang, Liang He:
Feature channel enhancement for crowd counting. IET Image Process. 14(11): 2376-2382 (2020) - [j17]Xingjiao Wu, Yingbin Zheng, Hao Ye, Wenxin Hu, Tianlong Ma, Jing Yang, Liang He:
Counting crowds with varying densities via adaptive scenario discovery framework. Neurocomputing 397: 127-138 (2020) - [j16]Xingjiao Wu, Baohan Xu, Yingbin Zheng, Hao Ye, Jing Yang, Liang He:
Fast video crowd counting with a Temporal Aware Network. Neurocomputing 403: 13-20 (2020) - [j15]Jie Zhou, Qin Chen, Jimmy Xiangji Huang, Qinmin Vivian Hu, Liang He:
Position-aware hierarchical transfer model for aspect-level sentiment classification. Inf. Sci. 513: 1-16 (2020) - [j14]Yu Ji, Wen Wu, Shiyun Chen, Qin Chen, Wenxin Hu, Liang He:
Two-stage sentiment classification based on user-product interactive information. Knowl. Based Syst. 203: 106091 (2020) - [j13]Jie Zhou, Jimmy Xiangji Huang, Qinmin Vivian Hu, Liang He:
SK-GCN: Modeling Syntax and Knowledge via Graph Convolutional Network for aspect-level sentiment classification. Knowl. Based Syst. 205: 106292 (2020) - [c106]Jiaying Hu, Yan Yang, Chencai Chen, Liang He, Zhou Yu:
SAS: Dialogue State Tracking via Slot Attention and Slot Information Sharing. ACL 2020: 6366-6375 - [c105]Jie Zhou, Junfeng Tian, Rui Wang, Yuanbin Wu, Wenming Xiao, Liang He:
SentiX: A Sentiment-Aware Pre-Trained Model for Cross-Domain Sentiment Analysis. COLING 2020: 568-579 - [c104]Jie Zhou, Jimmy Xiangji Huang, Qinmin Vivian Hu, Liang He:
Modeling Multi-aspect Relationship with Joint Learning for Aspect-Level Sentiment Classification. DASFAA (1) 2020: 786-802 - [c103]Xiaowen Shi, Xin Li, Caili Wu, Shuchen Kong, Jing Yang, Liang He:
A Real-Time Deep Network for Crowd Counting. ICASSP 2020: 2328-2332 - [c102]Xiangcheng Du, Tianlong Ma, Yingbin Zheng, Hao Ye, Xingjiao Wu, Liang He:
Scene Text Recognition with Temporal Convolutional Encoder. ICASSP 2020: 2383-2387 - [c101]Ruida Yang, Xin Lin, Jianliang Xu, Yan Yang, Liang He:
Optimizing Knowledge Graphs through Voting-based User Feedback. ICDE 2020: 421-432 - [c100]Haonan Qiu, Liang He, Feng Wang:
Dual Focus Attention Network For Video Emotion Recognition. ICME 2020: 1-6 - [c99]Jiabao Zhao, Xin Lin, Jie Zhou, Jing Yang, Liang He, Zhaohui Yang:
Knowledge-Based Fine-Grained Classification For Few-Shot Learning. ICME 2020: 1-6 - [c98]Jiayi Chen, Wen Wu, Wenxin Hu, Liang He:
TSCREC: Time-sync Comment Recommendation in Danmu-Enabled Videos. ICTAI 2020: 67-72 - [c97]Xin Li, Xingjiao Wu, Tianlong Ma, Zhao Zhou, Luhui Chen, Liang He:
Margin Guidance Network for Arbitrary-shaped Scene Text Detection. ICTAI 2020: 1111-1117 - [c96]Pei Huo, Yan Yang, Jie Zhou, Chengcai Chen, Liang He:
TERG: Topic-Aware Emotional Response Generation for Chatbot. IJCNN 2020: 1-8 - [c95]Jun Zhang, Yan Yang, Chengcai Chen, Liang He, Zhou Yu:
Generating Emotional Social Chatbot Responses with a Consistent Speaking Style. NLPCC (2) 2020: 57-68 - [c94]Qian Zhao, Siyu Tao, Jie Zhou, Linlin Wang, Xin Lin, Liang He:
ECNU-SenseMaker at SemEval-2020 Task 4: Leveraging Heterogeneous Knowledge Resources for Commonsense Validation and Explanation. SemEval@COLING 2020: 401-410 - [i8]Xiaowen Shi, Xin Li, Caili Wu, Shuchen Kong, Jing Yang, Liang He:
A Real-Time Deep Network for Crowd Counting. CoRR abs/2002.06515 (2020) - [i7]Qian Zhao, Siyu Tao, Jie Zhou, Linlin Wang, Xin Lin, Liang He:
ECNU-SenseMaker at SemEval-2020 Task 4: Leveraging Heterogeneous Knowledge Resources for Commonsense Validation and Explanation. CoRR abs/2007.14200 (2020)
2010 – 2019
- 2019
- [j12]Qingchun Bai, Qinmin Vivian Hu, Linhui Ge, Liang He:
Stories That Big Danmaku Data Can Tell as a New Media. IEEE Access 7: 53509-53519 (2019) - [j11]Jie Zhou, Jimmy Xiangji Huang, Qin Chen, Qinmin Vivian Hu, Tingting Wang, Liang He:
Deep Learning for Aspect-Level Sentiment Classification: Survey, Vision, and Challenges. IEEE Access 7: 78454-78483 (2019) - [j10]Zhefan Zhong, Xin Lin, Liang He, Jing Yang:
Answering why-not questions on KNN queries. Frontiers Comput. Sci. 13(5): 1062-1071 (2019) - [j9]Yang Song, Qinmin Vivian Hu, Liang He:
Let terms choose their own kernels: An intelligent approach to kernel selection for healthcare search. Inf. Sci. 485: 55-70 (2019) - [j8]Yang Song, Qinmin Vivian Hu, Liang He:
P-CNN: Enhancing text matching with positional convolutional neural network. Knowl. Based Syst. 169: 67-79 (2019) - [j7]Hongyu Liu, Qinmin Vivian Hu, Liang He:
Term-Based Personalization for Feature Selection in Clinical Handover Form Auto-Filling. IEEE ACM Trans. Comput. Biol. Bioinform. 16(4): 1219-1230 (2019) - [j6]Yongcheng Wu, Xin Lin, Yan Yang, Liang He:
Cleaning uncertain graphs via noisy crowdsourcing. World Wide Web 22(4): 1523-1553 (2019) - [c93]Shiyun Chen, Xin Lin, Yanghua Xiao, Liang He:
Sentiment Commonsense Induced Sequential Neural Networks for Sentiment Classification. CIKM 2019: 1021-1030 - [c92]Miaomiao Gong, Yuling Sun, Liang He:
A Social Network Engaged Crowdsourcing Framework for Expert Tasks. CSCWD 2019: 249-254 - [c91]Liuqian Ni, Yuling Sun, Yanqin Yang, Liang He:
Human-Engaged Health Care Services Recommendation for Aging and Long-term Care. CSCWD 2019: 339-344 - [c90]Yuling Sun, Jie Zhou, Dong Yao, Liang He:
iCare Designer: A Rule-Driven Layout Co-Designing System for Elderly Caring. CSCWD 2019: 362-367 - [c89]Yang Song, Wenxin Hu, Liang He:
Using Fractional Latent Topic to Enhance Recurrent Neural Network in Text Similarity Modeling. DASFAA (2) 2019: 173-190 - [c88]Lei Zhan, Yan Yang, Pinpin Zhu, Liang He, Zhou Yu:
Using Dilated Residual Network to Model Distantly Supervised Relation Extraction. DASFAA (3) 2019: 500-504 - [c87]Yun Li, Yan Yang, Yong Deng, Qinmin Vivian Hu, Chengcai Chen, Liang He, Zhou Yu:
Dependent Multilevel Interaction Network for Natural Language Inference. ICANN (4) 2019: 9-21 - [c86]Tingyu Wei, Wenxin Hu, Xingjiao Wu, Yingbin Zheng, Hao Ye, Jing Yang, Liang He:
Aggregating Rich Deep Semantic Features for Fine-Grained Place Classification. ICANN (3) 2019: 55-67 - [c85]Xingjiao Wu, Yingbin Zheng, Hao Ye, Wenxin Hu, Jing Yang, Liang He:
Adaptive Scenario Discovery for Crowd Counting. ICASSP 2019: 2382-2386 - [c84]Zhichao Fu, Yu Kong, Yingbin Zheng, Hao Ye, Wenxin Hu, Jing Yang, Liang He:
Cascaded Detail-Preserving Networks for Super-Resolution of Document Images. ICDAR 2019: 240-245 - [c83]Caili Wu, Zhao Zhou, Hao Ye, Jing Yang, Liang He:
Math Expression Image Retrieval via Attention-Based Framework. ICTAI 2019: 259-264 - [c82]Su Chen, Qinmin Vivian Hu, Yang Song, Yun He, Huaying Wu, Liang He:
Self-Attention based Network For Medical Query Expansion. IJCNN 2019: 1-9 - [c81]Mengting Li, Jian Jin, Wen Wu, Yan Yang, Liang He, Jing Yang:
A Crowdsourcing Based Human-in-the-Loop Framework for Denoising UUs in Relation Extraction Tasks. IJCNN 2019: 1-8 - [c80]Tingting Wang, Jie Zhou, Qinmin Vivian Hu, Liang He:
Aspect-level Sentiment Classification with Reinforcement Learning. IJCNN 2019: 1-8 - [c79]Qi Zhang, Yan Yang, Chengcai Chen, Liang He, Zhou Yu:
Knowledge Adaptive Neural Network for Natural Language Inference. IJCNN 2019: 1-8 - [c78]Yang Song, Wenxin Hu, Liang He, Liang Dou:
Enhancing the Healthcare Retrieval with a Self-adaptive Saturated Density Function. PAKDD (1) 2019: 501-513 - [c77]Tiancheng Jin, Qingshun Wang, Lihua Xu, Chunmei Pan, Liang Dou, Haifeng Qian, Liang He, Tao Xie:
FinExpert: domain-specific test generation for FinTech systems. ESEC/SIGSOFT FSE 2019: 853-862 - [c76]Yucheng Li, Yuxiang Sun, Jun Zhang, Pei Huo, Yan Yang, Liang He:
LINBER: A Retrieval-based Conversational Assistant using Entity Linking and BERT. TREC 2019 - [c75]Qi Zheng, Yong Li, Jiaying Hu, Yan Yang, Liang He, Yi Xue:
ECNU-ICA team at TREC 2019 Precision Medicine Track. TREC 2019 - [i6]Xingjiao Wu, Baohan Xu, Yingbin Zheng, Hao Ye, Jing Yang, Liang He:
Video Crowd Counting via Dynamic Temporal Modeling. CoRR abs/1907.02198 (2019) - [i5]Zhichao Fu, Yingbin Zheng, Hao Ye, Yu Kong, Jing Yang, Liang He:
Edge-Aware Deep Image Deblurring. CoRR abs/1907.02282 (2019) - [i4]Xiangcheng Du, Tianlong Ma, Yingbin Zheng, Hao Ye, Xingjiao Wu, Liang He:
Scene Text Recognition with Temporal Convolutional Encoder. CoRR abs/1911.01051 (2019) - [i3]Zhichao Fu, Yu Kong, Yingbin Zheng, Hao Ye, Wenxin Hu, Jing Yang, Liang He:
Cascaded Detail-Preserving Networks for Super-Resolution of Document Images. CoRR abs/1911.10714 (2019) - 2018
- [j5]Shan Sun, Feng Wang, Liang He:
Movie summarization using bullet screen comments. Multim. Tools Appl. 77(7): 9093-9110 (2018) - [j4]Qin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He:
Modeling Queries with Contextual Snippets for Information Retrieval. ACM Trans. Intell. Syst. Technol. 9(4): 47:1-47:26 (2018) - [j3]Qin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He:
TAKer: Fine-Grained Time-Aware Microblog Search with Kernel Density Estimation. IEEE Trans. Knowl. Data Eng. 30(8): 1602-1615 (2018) - [c74]Qin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He:
CA-RNN: Using Context-Aligned Recurrent Neural Networks for Modeling Sentence Similarity. AAAI 2018: 265-273 - [c73]Qinmin Hu, Jie Zhou, Qin Chen, Liang He:
SNNN: Promoting Word Sentiment and Negation in Neural Sentiment Classification. AAAI 2018: 3255-3262 - [c72]Zhefan Zhong, Xin Lin, Liang He, Yan Yang:
Answering Range-Based Reverse kNN Queries. APWeb/WAIM (2) 2018: 368-376 - [c71]Jie Zhou, Yuling Sun, Liang He:
Multi-model Hybrid Traffic Flow Forecast Algorithm Based on Multivariate Data. ChineseCSCW 2018: 188-200 - [c70]Qingchun Bai, Qi Zhang, Qinmin Hu, Liang He:
ECNU at CLEF PIR 2018 : Evaluation of Personalized Information Retrieval. CLEF (Working Notes) 2018 - [c69]Huaying Wu, Tingting Wang, Jiayi Chen, Su Chen, Qinmin Hu, Liang He:
ECNU at 2018 eHealth Task 2: Technologically Assisted Reviews in Empirical Medicine. CLEF (Working Notes) 2018 - [c68]Jie Zhou, Qi Zhang, Qinmin Hu, Liang He:
ECNU at MC2 2018 Task 2: Mining Opinion Argumentation. CLEF (Working Notes) 2018 - [c67]Yuling Sun, Jianyuan Li, Yuxiang Zhen, Yan Tang, Qinmin Hu, Liang He:
USee: An Online-Offline Hybird Danmaku Social System. CSCWD 2018: 253-258 - [c66]Yang Song, Yuling Sun, Qinmin Hu, Liang He:
An Interaction Embedded Framework for Healthcare Search. CSCWD 2018: 347-352 - [c65]Jie Zhou, Yuling Sun, Liang He:
A Data Driven Collaborative Caring Framework for Aging in Place in China. CSCWD 2018: 359-364 - [c64]Meihong Wang, Yuling Sun, Jing Yang, Liang He:
Enabling the Disagreement among Crowds: A Collaborative Crowdsourcing Framework. CSCWD 2018: 790-795 - [c63]Qingchun Bai, Qinmin Hu, Faming Fang, Liang He:
Topic Detection with Danmaku: A Time-Sync Joint NMF Approach. DEXA (2) 2018: 428-435 - [c62]Yu Jiang, Yuling Sun, Jing Yang, Xin Lin, Liang He:
Enabling Uneven Task Difficulty in Micro-Task Crowdsourcing. GROUP 2018: 12-21 - [c61]Bo Zheng, Xin Lin, Yanghua Xiao, Jing Yang, Liang He:
An Effective Method for Identifying Unknown Unknowns with Noisy Oracle. ICCBR 2018: 480-495 - [c60]Yang Song, Wenxin Hu, Qin Chen, Qinmin Hu, Liang He:
Enhancing the Recurrent Neural Networks with Positional Gates for Sentence Representation. ICONIP (1) 2018: 511-521 - [c59]Shiyun Chen, Maoquan Wang, Jiacheng Zhang, Liang He:
Classify Sentence from Multiple Perspectives with Category Expert Attention Network. IJCNN 2018: 1-8 - [c58]Qingchun Bai, Kai Wei, Mengwei Chen, Qinmin Hu, Liang He:
Mining Temporal Discriminant Frames via Joint Matrix Factorization: A Case Study of Illegal Immigration in the U.S. News Media. KSEM (1) 2018: 260-267 - [c57]Haonan Qiu, Yingbin Zheng, Hao Ye, Yao Lu, Feng Wang, Liang He:
Precise Temporal Action Localization by Evolving Temporal Proposals. ICMR 2018: 388-396 - [c56]Maoquan Wang, Shiyun Chen, Liang He:
Sentiment Classification Using Neural Networks with Sentiment Centroids. PAKDD (1) 2018: 56-67 - [c55]Shiyun Chen, Maoquan Wang, Liang He:
EmojiIt at SemEval-2018 Task 2: An Effective Attention-Based Recurrent Neural Network Model for Emoji Prediction with Characters Gated Words. SemEval@NAACL-HLT 2018: 423-427 - [c54]Qin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He:
CAN: Enhancing Sentence Similarity Modeling with Collaborative and Adversarial Network. SIGIR 2018: 815-824 - [c53]Qingshun Wang, Lintao Gu, Minhui Xue, Lihua Xu, Wenyu Niu, Liang Dou, Liang He, Tao Xie:
FACTS: automated black-box testing of FinTech systems. ESEC/SIGSOFT FSE 2018: 839-844 - [i2]Haonan Qiu, Yingbin Zheng, Hao Ye, Yao Lu, Feng Wang, Liang He:
Precise Temporal Action Localization by Evolving Temporal Proposals. CoRR abs/1804.04803 (2018) - [i1]Xingjiao Wu, Yingbin Zheng, Hao Ye, Wenxin Hu, Jing Yang, Liang He:
Adaptive Scenario Discovery for Crowd Counting. CoRR abs/1812.02393 (2018) - 2017
- [c52]Yueyao Wang, Qinmin Hu, Yang Song, Liang He:
Potentiality of healthcare big data: Improving search by automatic query reformulation. IEEE BigData 2017: 807-816 - [c51]Kai Ye, Yuling Sun, Jing Yang, Liang He:
Enabling Social Network: An Exploration of Crowdsourcing System. ChineseCSCW 2017: 249-250 - [c50]Jiayi Chen, Su Chen, Yang Song, Hongyu Liu, Yueyao Wang, Qinmin Hu, Liang He:
ECNU at 2017 eHealth Task 2: Technologically Assisted Reviews in Empirical Medicine. CLEF (Working Notes) 2017 - [c49]Kai Ye, Yuling Sun, Jing Yang, Liang He:
WeCrowd: A WeChat based mobile crowdsourcing platform. CSCWD 2017: 30-35 - [c48]Mengjun Ni, Jing Yang, Xin Lin, Liang He:
Reducing Unknown Unknowns with Guidance in Image Caption. ICANN (2) 2017: 547-555 - [c47]Weijie An, Qin Chen, Yan Yang, Liang He:
Knowledge Memory Based LSTM Model for Answer Selection. ICONIP (2) 2017: 34-42 - [c46]Lu Chen, Jie Zhou, Liang He, Qin Chen, Jiacheng Zhang, Yan Yang:
Modeling User-Item Profiles with Neural Networks for Rating Prediction. ICTAI 2017: 301-308 - [c45]Xin Ouyang, Yan Yang, Liang He, Qin Chen, Jiacheng Zhang:
Representation Learning with Entity Topics for Knowledge Graphs. KSEM 2017: 534-542 - [c44]Shan Sun, Feng Wang, Qi Liang, Liang He:
TaiChi: A Fine-Grained Action Recognition Dataset. ICMR 2017: 429-433 - [c43]Qin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He, Weijie An:
Enhancing Recurrent Neural Networks with Positional Attention for Question Answering. SIGIR 2017: 993-996 - [p1]Li Chen, Wen Wu, Liang He:
Personality and Recommendation Diversity. Emotions and Personality in Personalized Services 2017: 201-225 - 2016
- [j2]Zhijin Wang, Liang He:
User identification for enhancing IP-TV recommendation. Knowl. Based Syst. 98: 68-75 (2016) - [c42]Yang Song, Yun He, Hongyu Liu, Qinmin Hu, Liang He, Yueyao Wang:
ECNU at 2016 eHealth Task 1: Handover Information Extraction. CLEF (Working Notes) 2016: 147-156 - [c41]Yang Song, Yun He, Hongyu Liu, Yueyao Wang, Qinmin Hu, Liang He:
ECNU at 2016 eHealth Task 3: Patient-centred Information Retrieval. CLEF (Working Notes) 2016: 157-161 - [c40]Yun He, Qinmin Hu, Yang Song, Liang He:
Estimating Probability Density of Content Types for Promoting Medical Records Search. ECIR 2016: 252-263 - [c39]Qinmin Hu, Yijun Pei, Qin Chen, Liang He:
SG++: Word Representation with Sentiment and Negation for Twitter Sentiment Classification. SIGIR 2016: 997-1000 - [c38]Weijie An, Mengfei Shi, Xin Ouyang, Yan Yang, Qinmin Hu, Liang He:
ECNU at 2016 LiveQA Track: A Parameter Sharing Long Short Term Memory Model for Learning Question Similarity. TREC 2016 - [c37]Hongyu Liu, Yang Song, Yun He, Yueyao Wang, Qinmin Hu, Liang He:
ECNU at TREC 2016: Web-based query expansion and experts diagnosis in Medical Information Retrieval. TREC 2016 - 2015
- [c36]Yang Song, Yun He, Qinmin Hu, Liang He, E. Mark Haacke:
ECNU at 2015 eHealth Task 2: User-centred Health Information Retrieval. CLEF (Working Notes) 2015 - [c35]Hebin Yang, Qinmin Hu, Liang He:
Learning Topic-Oriented Word Embedding for Query Classification. PAKDD (1) 2015: 188-198 - [c34]Zhijin Wang, Yan Yang, Qinmin Hu, Liang He:
An Empirical Study of Personal Factors and Social Effects on Rating Prediction. PAKDD (1) 2015: 747-758 - [c33]Qin Chen, Bo Wang, Beijing Huang, Qinmin Hu, Liang He:
ECNU at TREC 2015: Microblog Track. TREC 2015 - [c32]Qinmin Hu, Liang He, Yang Song, Yun He:
ECNU at 2015 CDS Track: Two Re-ranking Methods in Medical Information Retrieval. TREC 2015 - [c31]Weiqian Zhang, Weijie An, Jinchao Ma, Yan Yang, Qinmin Hu, Liang He:
ECNU at TREC 2015: LiveQA Track. TREC 2015 - [c30]Yan Yang, Qinmin Hu, Liang He, Minjie Ni, Zhijin Wang:
Adaptive Temporal Model for IPTV Recommendation. WAIM 2015: 260-271 - 2014
- [c29]Zhijin Wang, Yan Yang, Liang He, Junzhong Gu:
User Identification within a Shared Account: Improving IP-TV Recommender Performance. ADBIS 2014: 219-233 - [c28]Qinmin Vivian Hu, Liang He, Mingyao Li, Jimmy Xiangji Huang, E. Mark Haacke:
A semi-informative aware approach using topic model for medical search. BIBM 2014: 320-324 - [c27]Hao Chen, Qinmin Hu, Liang He:
Clairvoyant: An Early Prediction System For Video Hits. CIKM 2014: 2054-2056 - [c26]Qiang Li, Liang He, Xin Lin:
Improved categorical distribution difference feature selection for Chinese document categorization. ICUIMC 2014: 102:1-102:7 - [c25]Qin Chen, Yan Yang, Qinmin Hu, Liang He:
Locating Query-oriented Experts in Microblog Search. SMIR@SIGIR 2014: 16-23 - 2013
- [c24]Li Chen, Wen Wu, Liang He:
How personality influences users' needs for recommendation diversity? CHI Extended Abstracts 2013: 829-834 - [c23]Qiang Li, Liang He, Xin Lin:
Dimension reduction based on categorical fuzzy correlation degree for document categorization. GrC 2013: 186-190 - [c22]Wen Wu, Li Chen, Liang He:
Using personality to adjust diversity in recommender systems. HT 2013: 225-229 - [c21]Benbin Wu, Jing Yang, Liang He:
Parallel Social Influence Model with Levy Flight Pattern Introduced for Large-Graph Mining on Weibo.com. ICA3PP (2) 2013: 102-111 - [c20]Qiang Li, Liang He, Xin Lin:
Categorical term frequency probability based feature selection for document categorization. SoCPaR 2013: 66-71 - 2012
- [c19]Weijie Wang, Jing Yang, Liang He:
An Improved Collaborative Filtering Based on Item Similarity Modified and Common Ratings. CW 2012: 231-235 - [c18]Mika Timonen, Timo Toivanen, Melissa Kasari, Yue Teng, Chao Cheng, Liang He:
Keyword Extraction from Short Documents Using Three Levels of Word Evaluation. IC3K 2012: 130-146 - [c17]Wen Wu, Liang He, Jing Yang:
Evaluating recommender systems. ICDIM 2012: 56-61 - [c16]Benbin Wu, Jing Yang, Liang He:
Chinese HowNet-Based Multi-factor Word Similarity Algorithm Integrated of Result Modification. ICONIP (5) 2012: 256-266 - [c15]Chao Chen, Liang He, Xin Lin:
REV: extracting entity relations from world wide web. ICUIMC 2012: 8:1-8:5 - [c14]Yajuan Ling, Jing Yang, Liang He:
Chinese Organization Name Recognition Based on Multiple Features. PAISI 2012: 136-144 - [c13]Jie Xiao, Liang He:
An Expandable Recommendation System on IPTV. ICSI (2) 2012: 33-40 - 2011
- [j1]Zhao Lu, Zoltán Miklós, Liang He, Songmei Cai, Junzhong Gu:
A Novel Multi-Aspect Consitency Measurement for Ontologies. J. Web Eng. 10(1): 48-69 (2011)
2000 – 2009
- 2009
- [c12]Junzhong Gu, Liang He, Jing Yang:
LaMOC - A Location Aware Mobile Cooperative System. FGIT-SIP 2009: 250-258 - [c11]Liang He, Faqing Wu:
A Time-context-Based Collaborative Filtering Algorithm. GrC 2009: 209-213 - [c10]Weiwei Xia, Liang He, Junzhong Gu, Keqin He:
Effective Collaborative Filtering Approaches Based on Missing Data Imputation. NCM 2009: 534-537 - 2008
- [c9]Lei Ren, Liang He, Junzhong Gu, Weiwei Xia, Faqing Wu:
A Hybrid Recommender Approach Based on Widrow-Hoff Learning. FGCN (1) 2008: 40-45 - [c8]Shuang Sun, Liang He, Zhao Lv, Junzhong Gu:
A New Approach to Blog Post Summarization Using Fast Features. FSKD (2) 2008: 8-13 - [c7]Faqing Wu, Liang He, Lei Ren, Weiwei Xia:
An Effective Similarity Measure for Collaborative Filtering. GrC 2008: 659-664 - [c6]Faqing Wu, Liang He, Weiwei Xia, Lei Ren:
A collaborative filtering algorithm based on Users' Partial Similarity. ICARCV 2008: 1072-1077 - [c5]Yan Yang, Liang He, Xueming Cai:
A dynamic trust evaluation algorithm based on subjective logic in pervasive computing environment. ICARCV 2008: 1078-1083 - [c4]Ping Cai, Liang He:
DESP-COM Model Based on Context-aware in Pervasive Computing. ICNSC 2008: 1158-1163 - [c3]Meihua Chen, Liang He, Xueming Cai, Weiwei Xia:
Trust Evaluation Model for Composite Service Based on Subjective Logic. IIH-MSP 2008: 1482-1485 - [c2]Keqin He, Liang He, Weiwei Xia:
A New Effective Collaborative Filtering Algorithm Based on User's Interest Partition. ISCSCT (1) 2008: 727-731 - 2006
- [c1]Wu Ke, Zheng Zhong, Liang He, Junzhong Gu:
M-Show: A System for Accurate Position Estimation in Multi-Floor Buildings. WINSYS 2006: 290-297
Coauthor Index
[j46] [c183] [c182] [c181] [c180] [c173] [c171] [i63] [i62] [i61] [i60] [i58] [i57] [i56] [i54] [i51] [i50] [i49] [i48] [c166] [c163] [c155] [c154] [c153] [i45] [i44] [i38] [i28] [i26] [c147] [c139] [c132] [c129] [c126] [c125] [i20] [i19] [i18] [i17] [c123] [c111] [c107] [i11] [j15] [j14] [j11] [j4] [j3] [c74] [c73] [c60] [c54] [c47] [c46] [c45] [c43] [c39] [c33] [c25]
Qinmin Hu
aka: Qinmin Vivian Hu
aka: Qinmin Vivian Hu
Jimmy Huang 0001
aka: Jimmy Xiangji Huang
aka: Jimmy Xiangji Huang
[j46] [c183] [c182] [c181] [c180] [c173] [c171] [i63] [i62] [i61] [i60] [i58] [i57] [i56] [i54] [i51] [i50] [i49] [i48] [j40] [j37] [c163] [c155] [c154] [i45] [i38] [i28] [i26] [j29] [j27] [c147] [c146] [c139] [c132] [c129] [c126] [c125] [i20] [i19] [i18] [i17] [i16] [j26] [j25] [j23] [c123] [c121] [c120] [j21] [j20] [j15] [j13] [c105] [c104] [c99] [c96] [c94] [i7] [j11] [c90] [c80] [c73] [c71] [c68] [c65] [c46]
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