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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://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-0741-8795")
— University of Colorado Denver, CO, USA (and 4 more) - Liang He 0003 — Tsinghua University, Department of Electronic Engineering, TNLIST, Beijing, China
- 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
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2020 – today
- 2023
[j41]Jiayi Chen, Wen Wu, Liye Shi, Wei Zheng, Liang He:
Long-tail session-based recommendation from calibration. Appl. Intell. 53(4): 4685-4702 (2023)- [j40]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) - [j39]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) - [j38]Liye Shi, Wen Wu, Jiayi Chen, Wenxin Hu, Wei Zheng, Xi Chen, Liang He:
SMAR: Summary-Aware Multi-Aspect Recommendation. Neurocomputing 555: 126614 (2023) - [j37]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) - [j36]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) - [j35]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) - [j34]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) - [c151]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 - [c150]Linlin Wang, Zefeng Cai, Gerard de Melo, Zhu Cao, Liang He:
Disentangled CVAEs with Contrastive Learning for Explainable Recommendation. AAAI 2023: 13691-13699 - [c149]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 - [c148]Yuxi Feng, Linlin Wang, Zhu Cao, Liang He:
PCDialogEval: Persona and Context Aware Emotional Dialogue Evaluation. ICANN (9) 2023: 152-165 - [c147]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 - [c146]Jianglin Jin, Jiabo Ye, Xin Lin, Liang He:
Pseudo-Query Generation For Semi-Supervised Visual Grounding With Knowledge Distillation. ICASSP 2023: 1-5 - [c145]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 - [c144]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 - [c143]Junhang Zhang, Zisong Zhuang, Luwei Xiao, Xingjiao Wu, Tianlong Ma, Liang He:
Dual-Expert Distillation Network for Few-Shot Segmentation. ICME 2023: 720-725 - [c142]Lang Yu, Qin Chen, Jiaju Lin, Liang He:
Black-box Prompt Tuning for Vision-Language Model as a Service. IJCAI 2023: 1686-1694 - [c141]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] - [i34]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) - [i33]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) - [i32]Yuanyuan Mao, Shuang Liu, Pengshuai Zhao, Qin Ni, Xin Lin, Liang He:
A Review on Machine Theory of Mind. CoRR abs/2303.11594 (2023) - [i31]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) - [i30]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) - [i29]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) - [i28]Jinxin Shi, Jiabao Zhao, Yilei Wang, Xingjiao Wu, Jiawen Li, Liang He:
CGMI: Configurable General Multi-Agent Interaction Framework. CoRR abs/2308.12503 (2023) - [i27]Peng Zhang, Xin Li, Liang He, Xin Lin:
3D Multiple Object Tracking on Autonomous Driving: A Literature Review. CoRR abs/2309.15411 (2023) - [i26]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) - [i25]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) - 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) - [c140]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 - [c139]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 - [c138]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 - [c137]Shaobin Chen, Jie Zhou, Yuling Sun, Liang He:
An Information Minimization Based Contrastive Learning Model for Unsupervised Sentence Embeddings Learning. COLING 2022: 4821-4831 - [c136]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 - [c135]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 - [c134]Liye Shi, Wen Wu, Yu Ji, Luping Feng, Liang He:
PMAR: Multi-aspect Recommendation Based on Psychological Gap. DASFAA (2) 2022: 118-133 - [c133]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 - [c132]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 - [c131]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 - [c130]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 - [c129]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 - [c128]Ejian Zhou, Xingjiao Wu, Luwei Xiao, Xiangcheng Du, Tianlong Ma, Liang He:
Document Layout Analysis Via Positional Encoding. ICIP 2022: 1156-1160 - [c127]Shuwen Yang, Zhichao Fu, Xingjiao Wu, Xiangcheng Du, Tianlong Ma, Liang He:
3D Clues Guided Convolution for Depth Completion. ICIP 2022: 2132-2136 - [c126]Zisong Zhuang, Junhang Zhang, Luwei Xiao, Tianlong Ma, Liang He:
PGTNet: Prototype Guided Transfer Network for Few-Shot Anomaly Localization. ICIP 2022: 2321-2325 - [c125]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 - [c124]Shuwen Yang, Luwei Xiao, Junhang Zhang, Zhichao Fu, Tianlong Ma, Liang He:
Depth Completion via A Dual-Fusion Method. ICPR 2022: 3686-3691 - [c123]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 - [c122]Zhanyi Chen, Changqun Li, Linlin Wang, Liang He:
Abstractive Dialogue Summarization Based on Dynamic Pattern Exploiting Training. IJCNN 2022: 1-7 - [c121]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 - [c120]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 - [c119]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 - [c118]Hongyang Zhou, Jiayi Chen, Wen Wu, Wenxin Hu, Wei Zheng, Liang He:
Unexp-DIN: Unexpected Deep Interest Network for Recommendation. IJCNN 2022: 1-8 - [c117]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 - [c116]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) - [c115]Jiabao Zhao, Yifan Yang, Xin Lin, Jing Yang, Liang He:
Looking Wider for Better Adaptive Representation in Few-Shot Learning. AAAI 2021: 10981-10989 - [c114]Jie Zhou, Yuanbin Wu, Qin Chen, Xuanjing Huang, Liang He:
Attending via both Fine-tuning and Compressing. ACL/IJCNLP (Findings) 2021: 2152-2161 - [c113]Qingyu Xu, Yuling Sun, Liang He:
Design Considerations for Information Collaboration in Long-term Senior Care System. CSCWD 2021: 1040-1045 - [c112]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 - [c111]Jie Zhou, Yuanbin Wu, Changzhi Sun, Liang He:
Is "hot pizza" Positive or Negative? Mining Target-aware Sentiment Lexicons. EACL 2021: 608-618 - [c110]Yucheng Li, Yan Yang, Qinmin Hu, Chengcai Chen, Liang He:
An Argument Extraction Decoder in Open Information Extraction. ECIR (1) 2021: 313-326 - [c109]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 - [c108]Jiabao Zhao, Xin Lin, Yifan Yang, Jing Yang, Liang He:
Cross-Modal Knowledge Distillation For Fine-Grained One-Shot Classification. ICASSP 2021: 4295-4299 - [c107]Xingjiao Wu, Ziling Hu, Xiangcheng Du, Jing Yang, Liang He:
Document Layout Analysis via Dynamic Residual Feature Fusion. ICME 2021: 1-6 - [c106]Jiayi Chen, Wen Wu, Wenxin Hu, Wei Zheng, Liang He:
SSR: Explainable Session-based Recommendation. IJCNN 2021: 1-8 - [c105]Siyu Tao, Qian Zhao, Linlin Wang, Liang He:
Multi -Turn Response Selection with Temporal Gated Graph Convolutional Networks. IJCNN 2021: 1-8 - [c104]Zijing Yang, Xin Lin, Linlin Wang, Liang He, Yixin Chen, Zhaohui Yang:
Employer-Employee Network for Conversational Recommendation. IJCNN 2021: 1-8 - [c103]Bo Zheng, Jie Shen, Liang He, Tao Hu, Tao Cao, Muzi Li:
A Method for Slope Detection of Planetary Surface in The Autonomous Obstacle Avoidance of Planetary Rover. ISCSIC 2021: 386-390 - [c102]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 - [c101]Jiabo Ye, Xin Lin, Liang He, Dingbang Li, Qin Chen:
One-Stage Visual Grounding via Semantic-Aware Feature Filter. ACM Multimedia 2021: 1702-1711 - [c100]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 - [c99]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 - [c98]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 - [c97]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,