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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
[j57]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)- [j56]Yanhong Bai, Jiabao Zhao, Tingjiang Wei, Qing Cai, Liang He:
A survey of explainable knowledge tracing. Appl. Intell. 54(8): 6483-6514 (2024) - [j55]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) - [j54]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) - [j53]Zhichao Fu, Anran Wu, Shuwen Yang, Tianlong Ma, Liang He:
CAFNet: Context aligned fusion for depth completion. Comput. Vis. Image Underst. 249: 104158 (2024) - [j52]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) - [j51]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) - [j50]Lang Yu, Lina Ge, Guanghui Wang, Jianghao Yin, Qin Chen, Jie Zhou, Liang He:
PI-Fed: Continual Federated Learning With Parameter-Level Importance Aggregation. IEEE Internet Things J. 11(22): 37187-37199 (2024) - [j49]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) - [j48]Yuling Sun, Jiaju Chen, Bingsheng Yao, Jiali Liu, Dakuo Wang, Xiaojuan Ma, Yuxuan Lu, Ying Xu, Liang He:
Exploring Parent's Needs for Children-Centered AI to Support Preschoolers' Interactive Storytelling and Reading Activities. Proc. ACM Hum. Comput. Interact. 8(CSCW2): 1-25 (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) - [c193]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 - [c192]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 - [c191]Lang Yu, Qin Chen, Jie Zhou, Liang He:
MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA. AAAI 2024: 19449-19457 - [c190]Yuyang Ding, Hanglei Hu, Jie Zhou, Qin Chen, Bo Jiang, Liang He:
Boosting Large Language Models with Socratic Method for Conversational Mathematics Teaching. CIKM 2024: 3730-3735 - [c189]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 - [c188]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 - [c187]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 - [c186]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 - [c185]Yang Yu, Xin Lin, Changqun Li, Shizhou Huang, Liang He:
MGCL: Multi-Granularity Clue Learning for Emotion-Cause Pair Extraction via Cross-Grained Knowledge Distillation. EMNLP (Findings) 2024: 1897-1907 - [c184]Xuanwen Ding, Jie Zhou, Liang Dou, Qin Chen, Yuanbin Wu, Arlene Chen, Liang He:
Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis. EMNLP (Findings) 2024: 4367-4377 - [c183]Zetian Ouyang, Yishuai Qiu, Linlin Wang, Gerard de Melo, Ya Zhang, Yanfeng Wang, Liang He:
CliMedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models in Clinical Scenarios. EMNLP 2024: 8428-8438 - [c182]Kedi Chen, Qin Chen, Jie Zhou, Yishen He, Liang He:
DiaHalu: A Dialogue-level Hallucination Evaluation Benchmark for Large Language Models. EMNLP (Findings) 2024: 9057-9079 - [c181]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 - [c180]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 - [c179]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 - [c178]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 - [c177]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 - [c176]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 - [c175]Changqun Li, Linlin Wang, Xin Lin, Shizhou Huang, Liang He:
Hypernetwork-Assisted Parameter-Efficient Fine-Tuning with Meta-Knowledge Distillation for Domain Knowledge Disentanglement. NAACL-HLT (Findings) 2024: 1681-1695 - [c174]Yuhao Dan, Junfeng Tian, Jie Zhou, Ming Yan, Ji Zhang, Qin Chen, Liang He:
Modeling Comparative Logical Relation with Contrastive Learning for Text Generation. NLPCC (4) 2024: 107-119 - [c173]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 - [c172]Liu Yu, Xiangcheng Du, Ziang Liu, Daoguo Dong, Liang He:
Refined and Locality-Enhanced Feature for Handwritten Mathematical Expression Recognition. PRCV (7) 2024: 30-43 - [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] - [i70]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) - [i69]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) - [i68]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) - [i67]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) - [i66]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) - [i65]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) - [i64]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) - [i63]Yanhong Bai, Jiabao Zhao, Tingjiang Wei, Qing Cai, Liang He:
A Survey of Explainable Knowledge Tracing. CoRR abs/2403.07279 (2024) - [i62]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) - [i61]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) - [i60]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) - [i59]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) - [i58]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) - [i57]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) - [i56]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) - [i55]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) - [i54]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) - [i53]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) - [i52]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) - [i51]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) - [i50]Wentao Liu, Qianjun Pan, Yi Zhang, Zhuo Liu, Ji Wu, Jie Zhou, Aimin Zhou, Qin Chen, Bo Jiang, Liang He:
CMM-Math: A Chinese Multimodal Math Dataset To Evaluate and Enhance the Mathematics Reasoning of Large Multimodal Models. CoRR abs/2409.02834 (2024) - [i49]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) - [i48]Zetian Ouyang, Yishuai Qiu, Linlin Wang, Gerard de Melo, Ya Zhang, Yanfeng Wang, Liang He:
CliMedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models in Clinical Scenarios. CoRR abs/2410.03502 (2024) - [i47]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. CoRR abs/2410.04452 (2024) - [i46]Kaiyuan Liu, Jiahao Mei, Hengyu Zhang, Yihuai Zhang, Xingjiao Wu, Daoguo Dong, Liang He:
Moyun: A Diffusion-Based Model for Style-Specific Chinese Calligraphy Generation. CoRR abs/2410.07618 (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,