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2020 – today
- 2025
[j14]Wenbo Hu
, Hongjian Zhan, Xinchen Ma, Cong Liu, Bing Yin, Yue Lu, Ching Y. Suen:
VGTS: Visually Guided Text Spotting for novel categories in historical manuscripts. Expert Syst. Appl. 261: 125557 (2025)- [j13]Sizhe Pang, Xinyuan Chen, Yangchen Xie, Hongjian Zhan, Bing Yin, Yue Lu:
Diff-TST: Diffusion model for one-shot text-image style transfer. Expert Syst. Appl. 263: 125747 (2025) - [j12]Fenglin Liu, Zheng Li, Qingyu Yin, Jinfa Huang, Jiebo Luo, Anshul Thakur, Kim M. Branson, Patrick Schwab, Bing Yin, Xian Wu, Yefeng Zheng, David A. Clifton:
A multimodal multidomain multilingual medical foundation model for zero shot clinical diagnosis. npj Digit. Medicine 8(1) (2025) - [c59]Yun Xiao, Jiacong Zhao, Andong Lu, Chenglong Li, Bing Yin, Yin Lin, Cong Liu:
Cross-modulated Attention Transformer for RGBT Tracking. AAAI 2025: 8682-8690 - [i47]Chenyu Liu, Jinshui Hu, Baocai Yin, Jia Pan, Bing Yin, Jun Du, Qingfeng Liu:
Col-OLHTR: A Novel Framework for Multimodal Online Handwritten Text Recognition. CoRR abs/2502.06100 (2025) - [i46]Yuchen Zhuang, Jingfeng Yang, Haoming Jiang, Xin Liu, Kewei Cheng, Sanket Lokegaonkar, Yifan Gao, Qing Ping, Tianyi Liu, Binxuan Huang, Zheng Li, Zhengyang Wang, Pei Chen, Ruijie Wang, Rongzhi Zhang, Nasser Zalmout, Priyanka Nigam, Bing Yin, Chao Zhang:
Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training. CoRR abs/2502.06589 (2025) - [i45]Zhihan Zhang, Shiyang Li, Zixuan Zhang, Xin Liu, Haoming Jiang, Xianfeng Tang, Yifan Gao, Zheng Li, Haodong Wang, Zhaoxuan Tan, Yichuan Li, Qingyu Yin, Bing Yin, Meng Jiang:
IHEval: Evaluating Language Models on Following the Instruction Hierarchy. CoRR abs/2502.08745 (2025) - [i44]Kai Hu, Feng Gao, Xiaohan Nie, Peng Zhou, Son Tran, Tal Neiman, Lingyun Wang, Mubarak Shah, Raffay Hamid, Bing Yin, Trishul Chilimbi:
M-LLM Based Video Frame Selection for Efficient Video Understanding. CoRR abs/2502.19680 (2025) - 2024
- [j11]Yangchen Xie, Xinyuan Chen, Hongjian Zhan, Palaiahnakote Shivakumara, Bing Yin, Cong Liu, Yue Lu:
Weakly supervised scene text generation for low-resource languages. Expert Syst. Appl. 237(Part C): 121622 (2024) - [j10]Dajian Zhong, Hongjian Zhan, Shujing Lyu, Cong Liu, Bing Yin, Palaiahnakote Shivakumara, Umapada Pal, Yue Lu:
NDOrder: Exploring a novel decoding order for scene text recognition. Expert Syst. Appl. 249: 123771 (2024) - [j9]Bing Yin, Shi Yin, Cong Liu, Yanyong Zhang, Changfeng Xi, Baocai Yin, Zhenhua Ling:
Dynamic facial expression recognition with pseudo-label guided multi-modal pre-training. IET Comput. Vis. 18(1): 33-45 (2024) - [j8]Zhenrong Zhang, Pengfei Hu, Jiefeng Ma, Jun Du, Jianshu Zhang, Baocai Yin, Bing Yin, Cong Liu:
SEMv2: Table separation line detection based on instance segmentation. Pattern Recognit. 149: 110279 (2024) - [j7]Wenting Wang, Yuantian Jiang, Bofu Yu, Xiaoming Zhang, Yun Xie, Bing Yin:
Evaluation of GPM IMERG-FR Product for Computing Rainfall Erosivity for Mainland China. Remote. Sens. 16(7): 1186 (2024) - [j6]Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Shaochen Zhong, Bing Yin, Xia Ben Hu:
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond. ACM Trans. Knowl. Discov. Data 18(6): 160:1-160:32 (2024) - [c58]Jiajun Wei, Hongjian Zhan, Yue Lu, Xiao Tu, Bing Yin, Cong Liu, Umapada Pal:
Image as a Language: Revisiting Scene Text Recognition via Balanced, Unified and Synchronized Vision-Language Reasoning Network. AAAI 2024: 5885-5893 - [c57]Chenyu Liu, Jia Pan, Jinshui Hu, Baocai Yin, Bing Yin, Mingjun Chen, Cong Liu, Jun Du, Qingfeng Liu:
NAMER: Non-autoregressive Modeling for Handwritten Mathematical Expression Recognition. ECCV (57) 2024: 273-291 - [c56]Wenxuan Ding, Weiqi Wang, Sze Heng Douglas Kwok, Minghao Liu, Tianqing Fang, Jiaxin Bai, Xin Liu, Changlong Yu, Zheng Li, Chen Luo, Qingyu Yin, Bing Yin, Junxian He, Yangqiu Song:
IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce. EMNLP (Findings) 2024: 2247-2266 - [c55]Alexander Bukharin, Shiyang Li, Zhengyang Wang, Jingfeng Yang, Bing Yin, Xian Li, Chao Zhang, Tuo Zhao, Haoming Jiang:
Data Diversity Matters for Robust Instruction Tuning. EMNLP (Findings) 2024: 3411-3425 - [c54]Julian Katz-Samuels, Zheng Li, Hyokun Yun, Priyanka Nigam, Yi Xu, Vaclav Petricek, Bing Yin, Trishul Chilimbi:
Evolutionary Contrastive Distillation for Language Model Alignment. EMNLP (Findings) 2024: 5328-5345 - [c53]Zhaoxuan Tan, Qingkai Zeng, Yijun Tian, Zheyuan Liu, Bing Yin, Meng Jiang:
Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning. EMNLP 2024: 6476-6491 - [c52]Baixuan Xu, Weiqi Wang, Haochen Shi, Wenxuan Ding, Huihao Jing, Tianqing Fang, Jiaxin Bai, Xin Liu, Changlong Yu, Zheng Li, Chen Luo, Qingyu Yin, Bing Yin, Long Chen, Yangqiu Song:
MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding. EMNLP 2024: 7800-7815 - [c51]Fenglin Liu, Zheng Li, Hongjian Zhou, Qingyu Yin, Jingfeng Yang, Xianfeng Tang, Chen Luo, Ming Zeng, Haoming Jiang, Yifan Gao, Priyanka Nigam, Sreyashi Nag, Bing Yin, Yining Hua, Xuan Zhou, Omid Rohanian, Anshul Thakur, Lei A. Clifton, David A. Clifton:
Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark. EMNLP 2024: 13696-13710 - [c50]Mingjun Chen, Hao Wu, Qikai Chang, Hanbo Cheng, Jiefeng Ma, Pengfei Hu, Zhenrong Zhang, Chenyu Liu, Changpeng Pi, Jinshui Hu, Baocai Yin, Bing Yin, Cong Liu, Jun Du:
ICDAR 2024 Competition on Recognition of Chemical Structures. ICDAR (6) 2024: 397-409 - [c49]Haoyu Wang, Ruirui Li, Zhengyang Wang, Xianfeng Tang, Danqing Zhang, Monica Xiao Cheng, Bing Yin, Jasha Droppo, Suhang Wang, Jing Gao:
LightLT: A Lightweight Representation Quantization Framework for Long-Tail Data. ICDE 2024: 1380-1393 - [c48]Yu Wang, Yifan Gao, Xiusi Chen, Haoming Jiang, Shiyang Li, Jingfeng Yang, Qingyu Yin, Zheng Li, Xian Li, Bing Yin, Jingbo Shang, Julian J. McAuley:
MEMORYLLM: Towards Self-Updatable Large Language Models. ICML 2024 - [c47]Shi Yin, Shijie Huan, Shangfei Wang, Jinshui Hu, Tao Guo, Bing Yin, Baocai Yin, Cong Liu:
1DFormer: A Transformer Architecture Learning 1D Landmark Representations for Facial Landmark Tracking. IJCAI 2024: 1588-1597 - [c46]Yilun Jin, Zheng Li, Chenwei Zhang, Tianyu Cao, Yifan Gao, Pratik Jayarao, Mao Li, Xin Liu, Ritesh Sarkhel, Xianfeng Tang, Haodong Wang, Zhengyang Wang, Wenju Xu, Jingfeng Yang, Qingyu Yin, Xian Li, Priyanka Nigam, Yi Xu, Kai Chen, Qiang Yang, Meng Jiang, Bing Yin:
Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models. NeurIPS 2024 - [c45]Changlong Yu, Xin Liu, Jefferson Maia, Yang Li, Tianyu Cao, Yifan Gao, Yangqiu Song, Rahul Goutam, Haiyang Zhang, Bing Yin, Zheng Li:
COSMO: A Large-Scale E-commerce Common Sense Knowledge Generation and Serving System at Amazon. SIGMOD Conference Companion 2024: 148-160 - [i43]Zhaoxuan Tan, Qingkai Zeng, Yijun Tian, Zheyuan Liu, Bing Yin, Meng Jiang:
Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning. CoRR abs/2402.04401 (2024) - [i42]Chenyu Liu, Jia Pan, Jinshui Hu, Baocai Yin, Bing Yin, Mingjun Chen, Cong Liu, Jun Du, Qingfeng Liu:
NAMER: Non-Autoregressive Modeling for Handwritten Mathematical Expression Recognition. CoRR abs/2407.11380 (2024) - [i41]Kewei Cheng, Jingfeng Yang, Haoming Jiang, Zhengyang Wang, Binxuan Huang, Ruirui Li, Shiyang Li, Zheng Li, Yifan Gao, Xian Li, Bing Yin, Yizhou Sun:
Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs. CoRR abs/2408.00114 (2024) - [i40]Yun Xiao, Jiacong Zhao, Andong Lu, Chenglong Li, Yin Lin, Bing Yin, Cong Liu:
Cross-modulated Attention Transformer for RGBT Tracking. CoRR abs/2408.02222 (2024) - [i39]Kuan Wang, Alexander Bukharin, Haoming Jiang, Qingyu Yin, Zhengyang Wang, Tuo Zhao, Jingbo Shang, Chao Zhang, Bing Yin, Xian Li, Jianshu Chen, Shiyang Li:
RNR: Teaching Large Language Models to Follow Roles and Rules. CoRR abs/2409.13733 (2024) - [i38]Julian Katz-Samuels, Zheng Li, Hyokun Yun, Priyanka Nigam, Yi Xu, Vaclav Petricek, Bing Yin, Trishul Chilimbi:
Evolutionary Contrastive Distillation for Language Model Alignment. CoRR abs/2410.07513 (2024) - [i37]Yilun Jin, Zheng Li, Chenwei Zhang, Tianyu Cao, Yifan Gao, Pratik Jayarao, Mao Li, Xin Liu, Ritesh Sarkhel, Xianfeng Tang, Haodong Wang, Zhengyang Wang, Wenju Xu, Jingfeng Yang, Qingyu Yin, Xian Li, Priyanka Nigam, Yi Xu, Kai Chen, Qiang Yang, Meng Jiang, Bing Yin:
Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models. CoRR abs/2410.20745 (2024) - [i36]Haotian Wang, Yuzhe Weng, Yueyan Li, Zilu Guo, Jun Du, Shutong Niu, Jiefeng Ma, Shan He, Xiaoyan Wu, Qiming Hu, Bing Yin, Cong Liu, Qingfeng Liu:
EmotiveTalk: Expressive Talking Head Generation through Audio Information Decoupling and Emotional Video Diffusion. CoRR abs/2411.16726 (2024) - 2023
- [j5]Bing Yin, Yun Xie, Bing Liu, Baoyuan Liu:
Rainfall Erosivity Mapping for Tibetan Plateau Using High-Resolution Temporal and Spatial Precipitation Datasets for the Third Pole. Remote. Sens. 15(22): 5267 (2023) - [j4]Aihua Zheng, Juncong Liu, Zi Wang, Lili Huang, Chenglong Li, Bing Yin:
Visible-infrared person re-identification via specific and shared representations learning. Vis. Intell. 1(1) (2023) - [c44]Simiao Zuo, Qingyu Yin, Haoming Jiang, Shaohui Xi, Bing Yin, Chao Zhang, Tuo Zhao:
Context-Aware Query Rewriting for Improving Users' Search Experience on E-commerce Websites. ACL (industry) 2023: 616-628 - [c43]Changlong Yu, Weiqi Wang, Xin Liu, Jiaxin Bai, Yangqiu Song, Zheng Li, Yifan Gao, Tianyu Cao, Bing Yin:
FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discovery. ACL (Findings) 2023: 1173-1191 - [c42]Bang Yang, Fenglin Liu, Zheng Li, Qingyu Yin, Chenyu You, Bing Yin, Yuexian Zou:
Multimodal Prompt Learning for Product Title Generation with Extremely Limited Labels. ACL (Findings) 2023: 2652-2665 - [c41]Shiyang Li, Yifan Gao, Haoming Jiang, Qingyu Yin, Zheng Li, Xifeng Yan, Chao Zhang, Bing Yin:
Graph Reasoning for Question Answering with Triplet Retrieval. ACL (Findings) 2023: 3366-3375 - [c40]Peifeng Wang, Zhengyang Wang, Zheng Li, Yifan Gao, Bing Yin, Xiang Ren:
SCOTT: Self-Consistent Chain-of-Thought Distillation. ACL (1) 2023: 5546-5558 - [c39]Hui Liu, Qingyu Yin, Zhengyang Wang, Chenwei Zhang, Haoming Jiang, Yifan Gao, Zheng Li, Xian Li, Chao Zhang, Bing Yin, William Wang, Xiaodan Zhu:
Knowledge-Selective Pretraining for Attribute Value Extraction. EMNLP (Findings) 2023: 8062-8074 - [c38]Qi Zeng, Qingyu Yin, Zheng Li, Yifan Gao, Sreyashi Nag, Zhengyang Wang, Bing Yin, Heng Ji, Chao Zhang:
Improving Consistency for Text Summarization with Energy Functions. EMNLP (Findings) 2023: 11925-11931 - [c37]Shan He, Haonan He, Shuo Yang, Xiaoyan Wu, Pengcheng Xia, Bing Yin, Cong Liu, Lirong Dai, Chang Xu:
Speech4Mesh: Speech-Assisted Monocular 3D Facial Reconstruction for Speech-Driven 3D Facial Animation. ICCV 2023: 14146-14156 - [c36]Jiajia Wu, Anni Li, Kun Zhao, Zhengyan Yang, Bing Yin, Cong Liu, Li-Rong Dai:
A Multimodal Text Block Segmentation Framework for Photo Translation. ICIG (3) 2023: 116-127 - [c35]Jiajia Wu, Kun Zhao, Zhengyan Yang, Bing Yin, Cong Liu, Li-Rong Dai:
End-to-End Multilingual Text Recognition Based on Byte Modeling. ICIG (3) 2023: 128-137 - [c34]Chen Liang, Haoming Jiang, Zheng Li, Xianfeng Tang, Bing Yin, Tuo Zhao:
HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers. ICLR 2023 - [c33]Jiaxin Bai, Chen Luo, Zheng Li, Qingyu Yin, Bing Yin, Yangqiu Song:
Knowledge Graph Reasoning over Entities and Numerical Values. KDD 2023: 57-68 - [c32]Enyan Dai, Limeng Cui, Zhengyang Wang, Xianfeng Tang, Yinghan Wang, Monica Xiao Cheng, Bing Yin, Suhang Wang:
A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy. KDD 2023: 368-379 - [c31]Haoyu Wang, Ruirui Li, Haoming Jiang, Zhengyang Wang, Xianfeng Tang, Bin Bi, Monica Xiao Cheng, Bing Yin, Yaqing Wang, Tuo Zhao, Jing Gao:
LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models. KDD 2023: 2302-2313 - [c30]Yu Wang, Zhengyang Wang, Hengrui Zhang, Qingyu Yin, Xianfeng Tang, Yinghan Wang, Danqing Zhang, Limeng Cui, Monica Xiao Cheng, Bing Yin, Suhang Wang, Philip S. Yu:
Exploiting Intent Evolution in E-commercial Query Recommendation. KDD 2023: 5162-5173 - [c29]Jinshui Hu, Hao Wu, Mingjun Chen, Chenyu Liu, Jiajia Wu, Shi Yin, Baocai Yin, Bing Yin, Cong Liu, Jun Du, Lirong Dai:
Handwritten Chemical Structure Image to Structure-Specific Markup Using Random Conditional Guided Decoder. ACM Multimedia 2023: 8114-8124 - [c28]Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Xiao Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang:
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation. NeurIPS 2023 - [c27]Xin Liu, Zheng Li, Yifan Gao, Jingfeng Yang, Tianyu Cao, Zhengyang Wang, Bing Yin, Yangqiu Song:
Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns. NeurIPS 2023 - [c26]Chen Luo, Rahul Goutam, Haiyang Zhang, Chao Zhang, Yangqiu Song, Bing Yin:
Implicit Query Parsing at Amazon Product Search. SIGIR 2023: 3380-3384 - [c25]Ruijie Wang, Zheng Li, Jingfeng Yang, Tianyu Cao, Chao Zhang, Bing Yin, Tarek F. Abdelzaher:
Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning. WWW 2023: 2621-2632 - [i35]Zhenrong Zhang, Pengfei Hu, Jiefeng Ma, Jun Du, Jianshu Zhang, Huihui Zhu, Baocai Yin, Bing Yin, Cong Liu:
SEMv2: Table Separation Line Detection Based on Conditional Convolution. CoRR abs/2303.04384 (2023) - [i34]Ruijie Wang, Zheng Li, Jingfeng Yang, Tianyu Cao, Chao Zhang, Bing Yin, Tarek F. Abdelzaher:
Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning. CoRR abs/2303.14898 (2023) - [i33]Wenbo Hu, Hongjian Zhan, Cong Liu, Bing Yin, Yue Lu:
OTS: A One-shot Learning Approach for Text Spotting in Historical Manuscripts. CoRR abs/2304.00746 (2023) - [i32]Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Bing Yin, Xia Hu:
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond. CoRR abs/2304.13712 (2023) - [i31]Peifeng Wang, Zhengyang Wang, Zheng Li, Yifan Gao, Bing Yin, Xiang Ren:
SCOTT: Self-Consistent Chain-of-Thought Distillation. CoRR abs/2305.01879 (2023) - [i30]Jie Huang, Yifan Gao, Zheng Li, Jingfeng Yang, Yangqiu Song, Chao Zhang, Zining Zhu, Haoming Jiang, Kevin Chen-Chuan Chang, Bing Yin:
CCGen: Explainable Complementary Concept Generation in E-Commerce. CoRR abs/2305.11480 (2023) - [i29]Shiyang Li, Yifan Gao, Haoming Jiang, Qingyu Yin, Zheng Li, Xifeng Yan, Chao Zhang, Bing Yin:
Graph Reasoning for Question Answering with Triplet Retrieval. CoRR abs/2305.18742 (2023) - [i28]Jiaxin Bai, Chen Luo, Zheng Li, Qingyu Yin, Bing Yin, Yangqiu Song:
Knowledge Graph Reasoning over Entities and Numerical Values. CoRR abs/2306.01399 (2023) - [i27]Enyan Dai, Limeng Cui, Zhengyang Wang, Xianfeng Tang, Yinghan Wang, Monica Xiao Cheng, Bing Yin, Suhang Wang:
A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy. CoRR abs/2306.08604 (2023) - [i26]Yangchen Xie, Xinyuan Chen, Hongjian Zhan, Palaiahankote Shivakumara, Bing Yin, Cong Liu, Yue Lu:
Weakly Supervised Scene Text Generation for Low-resource Languages. CoRR abs/2306.14269 (2023) - [i25]Bang Yang, Fenglin Liu, Zheng Li, Qingyu Yin, Chenyu You, Bing Yin, Yuexian Zou:
Multimodal Prompt Learning for Product Title Generation with Extremely Limited Labels. CoRR abs/2307.01969 (2023) - [i24]Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Xiao Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang:
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation. CoRR abs/2307.09688 (2023) - [i23]Yin Lin, Cong Liu, Yehansen Chen, Jinshui Hu, Bing Yin, Baocai Yin, Zengfu Wang:
Exploring Part-Informed Visual-Language Learning for Person Re-Identification. CoRR abs/2308.02738 (2023) - [i22]Zining Zhu, Haoming Jiang, Jingfeng Yang, Sreyashi Nag, Chao Zhang, Jie Huang, Yifan Gao, Frank Rudzicz, Bing Yin:
Situated Natural Language Explanations. CoRR abs/2308.14115 (2023) - [i21]Shi Yin, Shijie Huan, Defu Lian, Shangfei Wang, Jinshui Hu, Tao Guo, Bing Yin, Baocai Yin, Cong Liu:
1DFormer: Learning 1D Landmark Representations via Transformer for Facial Landmark Tracking. CoRR abs/2311.00241 (2023) - [i20]Xin Liu, Zheng Li, Yifan Gao, Jingfeng Yang, Tianyu Cao, Zhengyang Wang, Bing Yin, Yangqiu Song:
Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns. CoRR abs/2312.16199 (2023) - 2022
- [j3]Jiajia Wu, Jun Du, Fengren Wang, Chen Yang, Xinzhe Jiang, Jinshui Hu, Bing Yin, Jianshu Zhang, Lirong Dai:
A multimodal attention fusion network with a dynamic vocabulary for TextVQA. Pattern Recognit. 122: 108214 (2022) - [c24]Zijie Huang, Zheng Li, Haoming Jiang, Tianyu Cao, Hanqing Lu, Bing Yin, Karthik Subbian, Yizhou Sun, Wei Wang:
Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment. ACL (1) 2022: 474-485 - [c23]Dajian Zhong, Shujing Lyu, Palaiahnakote Shivakumara, Bing Yin, Jiajia Wu, Umapada Pal, Yue Lu:
SGBANet: Semantic GAN and Balanced Attention Network for Arbitrarily Oriented Scene Text Recognition. ECCV (28) 2022: 464-480 - [c22]Wei Jin, Xianfeng Tang, Haoming Jiang, Zheng Li, Danqing Zhang, Jiliang Tang, Bing Yin:
Condensing Graphs via One-Step Gradient Matching. KDD 2022: 720-730 - [c21]Tong Zhao, Xianfeng Tang, Danqing Zhang, Haoming Jiang, Nikhil Rao, Yiwei Song, Pallav Agrawal, Karthik Subbian, Bing Yin, Meng Jiang:
AutoGDA: Automated Graph Data Augmentation for Node Classification. LoG 2022: 32 - [c20]Jingfeng Yang, Haoming Jiang, Qingyu Yin, Danqing Zhang, Bing Yin, Diyi Yang:
SEQZERO: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models. NAACL-HLT (Findings) 2022: 49-60 - [c19]Rui Feng, Chen Luo, Qingyu Yin, Bing Yin, Tuo Zhao, Chao Zhang:
CERES: Pretraining of Graph-Conditioned Transformer for Semi-Structured Session Data. NAACL-HLT 2022: 219-230 - [c18]Yifan Gao, Qingyu Yin, Zheng Li, Rui Meng, Tong Zhao, Bing Yin, Irwin King, Michael R. Lyu:
Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training. NAACL-HLT (Findings) 2022: 1233-1246 - [c17]Ruijie Wang, Zheng Li, Dachun Sun, Shengzhong Liu, Jinning Li, Bing Yin, Tarek F. Abdelzaher:
Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs. NeurIPS 2022 - [c16]Chen Luo, William Headden, Neela Avudaiappan, Haoming Jiang, Tianyu Cao, Qingyu Yin, Yifan Gao, Zheng Li, Rahul Goutam, Haiyang Zhang, Bing Yin:
Query Attribute Recommendation at Amazon Search. RecSys 2022: 506-508 - [c15]Tao Yang, Chen Luo, Hanqing Lu, Parth Gupta, Bing Yin, Qingyao Ai:
Can Clicks Be Both Labels and Features?: Unbiased Behavior Feature Collection and Uncertainty-aware Learning to Rank. SIGIR 2022: 6-17 - [c14]Chen Luo, Vihan Lakshman, Anshumali Shrivastava, Tianyu Cao, Sreyashi Nag, Rahul Goutam, Hanqing Lu, Yiwei Song, Bing Yin:
ROSE: Robust Caches for Amazon Product Search. WWW (Companion Volume) 2022: 89-93 - [c13]Ruijie Wang, Zheng Li, Danqing Zhang, Qingyu Yin, Tong Zhao, Bing Yin, Tarek F. Abdelzaher:
RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph. WWW 2022: 462-472 - [i19]Ruijie Wang, Zheng Li, Danqing Zhang, Qingyu Yin, Tong Zhao, Bing Yin, Tarek F. Abdelzaher:
RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph. CoRR abs/2202.06129 (2022) - [i18]Zijie Huang, Zheng Li, Haoming Jiang, Tianyu Cao, Hanqing Lu, Bing Yin, Karthik Subbian, Yizhou Sun, Wei Wang:
Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment. CoRR abs/2203.14987 (2022) - [i17]Rui Feng, Chen Luo, Qingyu Yin, Bing Yin, Tuo Zhao, Chao Zhang:
CERES: Pretraining of Graph-Conditioned Transformer for Semi-Structured Session Data. CoRR abs/2204.04303 (2022) - [i16]Jingfeng Yang, Haoming Jiang, Qingyu Yin, Danqing Zhang, Bing Yin, Diyi Yang:
SeqZero: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models. CoRR abs/2205.07381 (2022) - [i15]Yifan Gao, Qingyu Yin, Zheng Li, Rui Meng, Tong Zhao, Bing Yin, Irwin King, Michael R. Lyu:
Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training. CoRR abs/2205.10471 (2022) - [i14]Dajian Zhong, Shujing Lyu, Palaiahnakote Shivakumara, Bing Yin, Jiajia Wu, Umapada Pal, Yue Lu:
SGBANet: Semantic GAN and Balanced Attention Network for Arbitrarily Oriented Scene Text Recognition. CoRR abs/2207.10256 (2022) - [i13]Jinshui Hu, Chenyu Liu, Qiandong Yan, Xuyang Zhu, Fengli Yu, Jiajia Wu, Bing Yin:
Vision-Language Adaptive Mutual Decoder for OOV-STR. CoRR abs/2209.00859 (2022) - [i12]Simiao Zuo, Haoming Jiang, Qingyu Yin, Xianfeng Tang, Bing Yin, Tuo Zhao:
DiP-GNN: Discriminative Pre-Training of Graph Neural Networks. CoRR abs/2209.07499 (2022) - [i11]Simiao Zuo, Qingyu Yin, Haoming Jiang, Shaohui Xi, Bing Yin, Chao Zhang, Tuo Zhao:
Context-Aware Query Rewriting for Improving Users' Search Experience on E-commerce Websites. CoRR abs/2209.07584 (2022) - [i10]Haoming Jiang, Tianyu Cao, Zheng Li, Chen Luo, Xianfeng Tang, Qingyu Yin, Danqing Zhang, Rahul Goutam, Bing Yin:
Short Text Pre-training with Extended Token Classification for E-commerce Query Understanding. CoRR abs/2210.03915 (2022) - [i9]Ruijie Wang, Zheng Li, Dachun Sun, Shengzhong Liu, Jinning Li, Bing Yin, Tarek F. Abdelzaher:
Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs. CoRR abs/2210.08654 (2022) - [i8]Changlong Yu, Weiqi Wang, Xin Liu, Jiaxin Bai, Yangqiu Song, Zheng Li, Yifan Gao, Tianyu Cao, Bing Yin:
FolkScope: Intention Knowledge Graph Construction for Discovering E-commerce Commonsense. CoRR abs/2211.08316 (2022) - 2021
- [j2]Bing Yin, Sreyashi Nag:
Letter from the Special Issue Editor. IEEE Data Eng. Bull. 44(2): 2 (2021) - [c12]Haoming Jiang, Danqing Zhang, Tianyu Cao, Bing Yin, Tuo Zhao:
Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data. ACL/IJCNLP (1) 2021: 1775-1789 - [c11]Danqing Zhang, Zheng Li, Tianyu Cao, Chen Luo, Tony Wu, Hanqing Lu, Yiwei Song, Bing Yin, Tuo Zhao, Qiang Yang:
QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction. CIKM 2021: 4362-4372 - [c10]Zheng Li, Danqing Zhang, Tianyu Cao, Ying Wei, Yiwei Song, Bing Yin:
MetaTS: Meta Teacher-Student Network for Multilingual Sequence Labeling with Minimal Supervision. EMNLP (1) 2021: 3183-3196 - [c9]Hanqing Lu, Youna Hu, Tong Zhao, Tony Wu, Yiwei Song, Bing Yin:
Graph-based Multilingual Product Retrieval in E-Commerce Search. NAACL-HLT (Industry Papers) 2021: 146-153 - [c8]Hui Liu, Danqing Zhang, Bing Yin, Xiaodan Zhu:
Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning. NAACL-HLT 2021: 1051-1062 - [i7]Hui Liu, Danqing Zhang, Bing Yin, Xiaodan Zhu:
Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning. CoRR abs/2104.01666 (2021) - [i6]Hanqing Lu, Youna Hu, Tong Zhao, Tony Wu, Yiwei Song, Bing Yin:
Graph-based Multilingual Product Retrieval in E-commerce Search. CoRR abs/2105.02978 (2021) - [i5]Haoming Jiang, Danqing Zhang, Tianyu Cao, Bing Yin, Tuo Zhao:
Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data. CoRR abs/2106.08977 (2021) - [i4]Danqing Zhang, Zheng Li, Tianyu Cao, Chen Luo, Tony Wu, Hanqing Lu, Yiwei Song, Bing Yin, Tuo Zhao, Qiang Yang:
QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction. CoRR abs/2108.08468 (2021) - 2020
- [c7]Zheng Li, Mukul Kumar, William Headden, Bing Yin, Ying Wei, Yu Zhang, Qiang Yang:
Learn to Cross-lingual Transfer with Meta Graph Learning Across Heterogeneous Languages. EMNLP (1) 2020: 2290-2301 - [i3]Mukul Kumar, Youna Hu, Will Headden, Rahul Goutam, Heran Lin, Bing Yin:
Shareable Representations for Search Query Understanding. CoRR abs/2001.04345 (2020) - [i2]Danqing Zhang, Tao Li, Haiyang Zhang, Bing Yin:
On Data Augmentation for Extreme Multi-label Classification. CoRR abs/2009.10778 (2020)
2010 – 2019
- 2019
- [c6]Priyanka Nigam, Yiwei Song, Vijai Mohan, Vihan Lakshman, Weitian Allen Ding, Ankit Shingavi, Choon Hui Teo, Hao Gu, Bing Yin:
Semantic Product Search. KDD 2019: 2876-2885 - [i1]Priyanka Nigam, Yiwei Song, Vijai Mohan, Vihan Lakshman, Weitian Ding, Ankit Shingavi, Choon Hui Teo, Hao Gu, Bing Yin:
Semantic Product Search. CoRR abs/1907.00937 (2019) - 2018
- [c5]Bing Yin, Jun Du, Lei Sun, Xueyang Zhang, Shan He, Zhenhua Ling, Guoping Hu, Wu Guo:
An Analysis of Speaker Diarization Fusion Methods For The First DIHARD Challenge. APSIPA 2018: 1473-1477 - [c4]Lei Sun, Jun Du, Chao Jiang, Xueyang Zhang, Shan He, Bing Yin, Chin-Hui Lee:
Speaker Diarization with Enhancing Speech for the First DIHARD Challenge. INTERSPEECH 2018: 2793-2797 - 2016
- [c3]Chen Zhao, Gang Xu, Yaming Tian, Wei Ren, Chengwen Lv, Bing Yin, Taixin Liang:
A purchasing management strategy model about grading and classifying railway materials based on material grouping. LISS 2016: 1-5 - 2014
- [j1]Kaifang Shi, Bailang Yu, Yixiu Huang, Yingjie Hu, Bing Yin, Zuoqi Chen, Liujia Chen, Jianping Wu:
Evaluating the Ability of NPP-VIIRS Nighttime Light Data to Estimate the Gross Domestic Product and the Electric Power Consumption of China at Multiple Scales: A Comparison with DMSP-OLS Data. Remote. Sens. 6(2): 1705-1724 (2014) - 2012
- [c2]Jian-Guo Shi, Juan Wang, Meng Zhou, Bing Yin, Yan-Fang Shi:
Endpoint learning for multilinear commutator of singular integral on space of homogeneous type. ICMLC 2012: 1319-1325
2000 – 2009
- 2009
- [c1]Bing Yin, Greg Hamerly:
Hierarchical Stability-Based Model Selection for Clustering Algorithms. ICMLA 2009: 217-222
Coauthor Index
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