Bing Yin

168 papers A* 34A 4C 1Misc 3Journal 87Unranked 39
YearRankTypeTitle / Venue / Authors
2026 A* conf
Binary-Gaussian: Compact and Progressive Representation for 3D Gaussian Segmentation.
AAAI
An Yang, Chenyu Liu, Jun Du, Jianqing Gao, Jia Pan, Jinshui Hu, Baocai Yin, Bing Yin, Cong Liu
2026 A* conf
Breaking Model Lock-in: Cost-Efficient Zero-Shot LLM Routing via a Universal Latent Space.
AAAI
Cheng Yan, Wuyang Zhang, Zhiyuan Ning, Fan Xu, Ziyang Tao, Lu Zhang, Bing Yin, Yanyong Zhang
2026 J jnl
Breaking Model Lock-in: Cost-Efficient Zero-Shot LLM Routing via a Universal Latent Space.
CoRR
Cheng Yan, Wuyang Zhang, Zhiyuan Ning, Fan Xu, Ziyang Tao, Lu Zhang, Bing Yin, Yanyong Zhang
2026 A* conf
DocR1: Evidence Page-Guided GRPO for Multi-Page Document Understanding.
AAAI
Junyu Xiong, Yonghui Wang, Weichao Zhao, Chenyu Liu, Bing Yin, Wengang Zhou, Houqiang Li
2026 J jnl
HeaPA: Difficulty-Aware Heap Sampling and On-Policy Query Augmentation for LLM Reinforcement Learning.
CoRR
Weiqi Wang, Xin Liu, Binxuan Huang, Hejie Cui, Rongzhi Zhang, Changlong Yu, Shuowei Jin, Jingfeng Yang, Qingyu Yin, Zhengyang Wang, Zheng Li, Yifan Gao, Priyanka Nigam, Bing Yin, Lihong Li, Yangqiu Song
2026 A* conf
MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation.
WWW
Ranxu Zhang, Junjie Meng, Ying Sun, Ziqi Xu, Bing Yin, Hao Li, Yanyong Zhang, Chao Wang
2026 J jnl
MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation.
CoRR
Ranxu Zhang, Junjie Meng, Ying Sun, Ziqi Xu, Bing Yin, Hao Li, Yanyong Zhang, Chao Wang
2026 J jnl
Prototype-Based Modality-Specific Feature Distillation for Incomplete Multimodal Sentiment Analysis.
IEEE Trans. Emerg. Top. Comput. Intell.
Aihua Zheng, Yongbo Wang, Jiaxiang Wang, Chenglong Li, Bing Yin
2026 A* conf
READ: Real-time and Efficient Asynchronous Diffusion for Audio-driven Talking Head Generation.
AAAI
Haotian Wang, Yuzhe Weng, Jun Du, Haoran Xu, Xiaoyan Wu, Shan He, Bing Yin, Cong Liu, Jianqing Gao, Qingfeng Liu
2026 — conf
Rethinking Popularity Bias in Collaborative Filtering via Analytical Vector Decomposition.
KDD (1)
Lingfeng Liu, Yixin Song, Dazhong Shen, Bing Yin, Hao Li, Yanyong Zhang, Chao Wang
2026 J jnl
Stepwise Penalization for Length-Efficient Chain-of-Thought Reasoning.
CoRR
Xintong Li, Sha Li, Rongmei Lin, Hongye Jin, Linwei Li, Hejie Cui, Sarah Zhang, Chia-Yuan Chang, Kewei Cheng, Besnik Fetahu, Priyanka Nigam, Jingbo Shang, Bing Yin
2026 J jnl
TDATR: Improving End-to-End Table Recognition via Table Detail-Aware Learning and Cell-Level Visual Alignment.
CoRR
Chunxia Qin, Chenyu Liu, Pengcheng Xia, Jun Du, Baocai Yin, Bing Yin, Cong Liu
2026 J jnl
Teach Diffusion Language Models to Learn from Their Own Mistakes.
CoRR
Liming Liu, Binxuan Huang, Xin Liu, Bing Yin, Tuo Zhao
2026 J jnl
Training LLMs for Multi-Step Tool Orchestration with Constrained Data Synthesis and Graduated Rewards.
CoRR
Cheng Jiayang, Xin Liu, Zhihan Zhang, Haoyang Wen, Zixuan Zhang, Qingyu Yin, Shiyang Li, Priyanka Nigam, Bing Yin, Chao Zhang, Yangqiu Song
2025 J jnl
A multimodal multidomain multilingual medical foundation model for zero shot clinical diagnosis.
npj Digit. Medicine
Fenglin Liu, Zheng Li, Qingyu Yin, Jinfa Huang, Jiebo Luo, Anshul Thakur, Kim Branson, Patrick Schwab, Bing Yin, Xian Wu, Yefeng Zheng, David A. Clifton
2025 — conf
Aligning Large Language Models with Implicit Preferences from User-Generated Content.
ACL (1)
Zhaoxuan Tan, Zheng Li, Tianyi Liu, Haodong Wang, Hyokun Yun, Ming Zeng, Pei Chen, Zhihan Zhang, Yifan Gao, Ruijie Wang, Priyanka Nigam, Bing Yin, Meng Jiang
2025 J jnl
Aligning Large Language Models with Implicit Preferences from User-Generated Content.
CoRR
Zhaoxuan Tan, Zheng Li, Tianyi Liu, Haodong Wang, Hyokun Yun, Ming Zeng, Pei Chen, Zhihan Zhang, Yifan Gao, Ruijie Wang, Priyanka Nigam, Bing Yin, Meng Jiang
2025 — conf
AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs.
ACL (1)
Nicholas E. Corrado, Julian Katz-Samuels, Adithya M. Devraj, Hyokun Yun, Chao Zhang, Yi Xu, Yi Pan, Bing Yin, Trishul Chilimbi
2025 J jnl
AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs.
CoRR
Nicholas E. Corrado, Julian Katz-Samuels, Adithya M. Devraj, Hyokun Yun, Chao Zhang, Yi Xu, Yi Pan, Bing Yin, Trishul Chilimbi
2025 J jnl
Binary-Gaussian: Compact and Progressive Representation for 3D Gaussian Segmentation.
CoRR
An Yang, Chenyu Liu, Jun Du, Jianqing Gao, Jia Pan, Jinshui Hu, Baocai Yin, Bing Yin, Cong Liu
2025 — conf
Can Language Models Follow Multiple Turns of Entangled Instructions?
EMNLP (Findings)
Chi Han, Xin Liu, Haodong Wang, Shiyang Li, Jingfeng Yang, Haoming Jiang, Zhengyang Wang, Qingyu Yin, Liang Qiu, Changlong Yu, Yifan Gao, Zheng Li, Bing Yin, Jingbo Shang, Heng Ji
2025 Misc conf
Col-OLHTR: A Novel Framework for Multimodal Online Handwritten Text Recognition.
ICASSP
Chenyu Liu, Jinshui Hu, Baocai Yin, Jia Pan, Bing Yin, Jun Du, Qingfeng Liu
2025 J jnl
Col-OLHTR: A Novel Framework for Multimodal Online Handwritten Text Recognition.
CoRR
Chenyu Liu, Jinshui Hu, Baocai Yin, Jia Pan, Bing Yin, Jun Du, Qingfeng Liu
2025 A* conf
Cross-modulated Attention Transformer for RGBT Tracking.
AAAI
Yun Xiao, Jiacong Zhao, Andong Lu, Chenglong Li, Bing Yin, Yin Lin, Cong Liu
2025 — conf
DORM: Preference Data Weights Optimization for Reward Modeling in LLM Alignment.
EMNLP (Findings)
Rongzhi Zhang, Chenwei Zhang, Xinyang Zhang, Liang Qiu, Haoming Jiang, Yuchen Zhuang, Qingru Zhang, Hyokun Yun, Xian Li, Bing Yin, Tuo Zhao, Chao Zhang
2025 J jnl
DeepPlanner: Scaling Planning Capability for Deep Research Agents via Advantage Shaping.
CoRR
Wei Fan, Wenlin Yao, Zheng Li, Feng Yao, Xin Liu, Liang Qiu, Qingyu Yin, Yangqiu Song, Bing Yin
2025 J jnl
Diff-TST: Diffusion model for one-shot text-image style transfer.
Expert Syst. Appl.
Sizhe Pang, Xinyuan Chen, Yangchen Xie, Hongjian Zhan, Bing Yin, Yue Lu
2025 J jnl
DocR1: Evidence Page-Guided GRPO for Multi-Page Document Understanding.
CoRR
Junyu Xiong, Yonghui Wang, Weichao Zhao, Chenyu Liu, Bing Yin, Wengang Zhou, Houqiang Li
2025 — conf
DrAgent: Empowering Large Language Models as Medical Agents for Multi-hop Medical Reasoning.
EMNLP (Findings)
Fenglin Liu, Zheng Li, Hongjian Zhou, Qingyu Yin, Jingfeng Yang, Xin Liu, Zhengyang Wang, Xianfeng Tang, Shiyang Li, Xiang He, Ruijie Wang, Bing Yin, Xiao Gu, Lei A. Clifton, David A. Clifton
2025 Misc conf
Efficient Fine-tuning Strategies for Enhancing Face Recognition Performance in Challenging Scenarios.
ICASSP
Yin Lin, Ziyang Wu, Qidong Huang, Xinran Liu, Baocai Yin, Jinshui Hu, Bing Yin, Zengfu Wang
2025 A* conf
EmotiveTalk: Expressive Talking Head Generation through Audio Information Decoupling and Emotional Video Diffusion.
CVPR
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
2025 A conf
Exploring Part-Informed Visual-Language Learning for Person Re-Identification.
ICME
Yin Lin, Yehansen Chen, Baocai Yin, Jinshui Hu, Bing Yin, Cong Liu, Zengfu Wang
2025 — conf
Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training.
NAACL (Long Papers)
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
2025 J jnl
Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training.
CoRR
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
2025 — conf
IHEval: Evaluating Language Models on Following the Instruction Hierarchy.
NAACL (Long Papers)
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
2025 J jnl
IHEval: Evaluating Language Models on Following the Instruction Hierarchy.
CoRR
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
2025 A* conf
Improving Large Language Models Function Calling and Interpretability via Guided-Structured Templates.
EMNLP
Hy Dang, Tianyi Liu, Zhuofeng Wu, Jingfeng Yang, Haoming Jiang, Tao Yang, Pei Chen, Zhengyang Wang, Helen Wang, Huasheng Li, Bing Yin, Meng Jiang
2025 J jnl
Improving Large Language Models Function Calling and Interpretability via Guided-Structured Templates.
CoRR
Hy Dang, Tianyi Liu, Zhuofeng Wu, Jingfeng Yang, Haoming Jiang, Tao Yang, Pei Chen, Zhengyang Wang, Helen Wang, Huasheng Li, Bing Yin, Meng Jiang
2025 J jnl
Improving Sampling Efficiency in RLVR through Adaptive Rollout and Response Reuse.
CoRR
Yuheng Zhang, Wenlin Yao, Changlong Yu, Yao Liu, Qingyu Yin, Bing Yin, Hyokun Yun, Lihong Li
2025 J jnl
Length-aware center loss for sequence to sequence Thai scene text recognition.
Eng. Appl. Artif. Intell.
Hongjian Zhan, Chun Li, Bing Yin, Yue Lu
2025 — conf
LongLeader: A Comprehensive Leaderboard for Large Language Models in Long-context Scenarios.
NAACL (Long Papers)
Pei Chen, Hongye Jin, Cheng-Che Lee, Rulin Shao, Jingfeng Yang, Mingyu Zhao, Zhaoyu Zhang, Qin Lu, Kaiwen Men, Ning Xie, Huasheng Li, Bing Yin, Han Li, Lingyun Wang
2025 A* conf
M-LLM Based Video Frame Selection for Efficient Video Understanding.
CVPR
Kai Hu, Feng Gao, Xiaohan Nie, Peng Zhou, Son Tran, Tal Neiman, Lingyun Wang, Mubarak Shah, Raffay Hamid, Bing Yin, Trishul Chilimbi
2025 J jnl
M-LLM Based Video Frame Selection for Efficient Video Understanding.
CoRR
Kai Hu, Feng Gao, Xiaohan Nie, Peng Zhou, Son Tran, Tal Neiman, Lingyun Wang, Mubarak Shah, Raffay Hamid, Bing Yin, Trishul Chilimbi
2025 J jnl
POPI: Personalizing LLMs via Optimized Natural Language Preference Inference.
CoRR
Yizhuo Chen, Xin Liu, Ruijie Wang, Zheng Li, Pei Chen, Changlong Yu, Priyanka Nigam, Meng Jiang, Bing Yin
2025 J jnl
READ: Real-time and Efficient Asynchronous Diffusion for Audio-driven Talking Head Generation.
CoRR
Haotian Wang, Yuzhe Weng, Jun Du, Haoran Xu, Xiaoyan Wu, Shan He, Bing Yin, Cong Liu, Jianqing Gao, Qingfeng Liu
2025 J jnl
REST: Diffusion-based Real-time End-to-end Streaming Talking Head Generation via ID-Context Caching and Asynchronous Streaming Distillation.
CoRR
Haotian Wang, Yuzhe Weng, Xinyi Yu, Jun Du, Haoran Xu, Xiaoyan Wu, Shan He, Bing Yin, Cong Liu, Qingfeng Liu
2025 J jnl
Rethinking Popularity Bias in Collaborative Filtering via Analytical Vector Decomposition.
CoRR
Lingfeng Liu, Yixin Song, Dazhong Shen, Bing Yin, Yunhao Liu, Yanyong Zhang, Chao Wang
2025 J jnl
Self-Rewarding PPO: Aligning Large Language Models with Demonstrations Only.
CoRR
Qingru Zhang, Liang Qiu, Ilgee Hong, Zhenghao Xu, Tianyi Liu, Shiyang Li, Rongzhi Zhang, Zheng Li, Lihong Li, Bing Yin, Chao Zhang, Jianshu Chen, Haoming Jiang, Tuo Zhao
2025 J jnl
SessionIntentBench: A Multi-task Inter-session Intention-shift Modeling Benchmark for E-commerce Customer Behavior Understanding.
CoRR
Yuqi Yang, Weiqi Wang, Baixuan Xu, Wei Fan, Qing Zong, Chunkit Chan, Zheye Deng, Xin Liu, Yifan Gao, Changlong Yu, Chen Luo, Yang Li, Zheng Li, Qingyu Yin, Bing Yin, Yangqiu Song
2025 J jnl
TransLLM: A Unified Multi-Task Foundation Framework for Urban Transportation via Learnable Prompting.
CoRR
Jiaming Leng, Yunying Bi, Chuan Qin, Bing Yin, Yanyong Zhang, Chao Wang
2025 — conf
UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations.
ACL (1)
Fengran Mo, Yifan Gao, Chuan Meng, Xin Liu, Zhuofeng Wu, Kelong Mao, Zhengyang Wang, Pei Chen, Zheng Li, Xian Li, Bing Yin, Meng Jiang
2025 J jnl
UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations.
CoRR
Fengran Mo, Yifan Gao, Chuan Meng, Xin Liu, Zhuofeng Wu, Kelong Mao, Zhengyang Wang, Pei Chen, Zheng Li, Xian Li, Bing Yin, Meng Jiang
2025 J jnl
VGTS: Visually Guided Text Spotting for novel categories in historical manuscripts.
Expert Syst. Appl.
Wenbo Hu, Hongjian Zhan, Xinchen Ma, Cong Liu, Bing Yin, Yue Lu, Ching Y. Suen
2025 A* conf
WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning.
EMNLP
Zhepei Wei, Wenlin Yao, Yao Liu, Weizhi Zhang, Qin Lu, Liang Qiu, Changlong Yu, Puyang Xu, Chao Zhang, Bing Yin, Hyokun Yun, Lihong Li
2025 J jnl
WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning.
CoRR
Zhepei Wei, Wenlin Yao, Yao Liu, Weizhi Zhang, Qin Lu, Liang Qiu, Changlong Yu, Puyang Xu, Chao Zhang, Bing Yin, Hyokun Yun, Lihong Li
2024 A* conf
1DFormer: A Transformer Architecture Learning 1D Landmark Representations for Facial Landmark Tracking.
IJCAI
Shi Yin, Shijie Huan, Shangfei Wang, Jinshui Hu, Tao Guo, Bing Yin, Baocai Yin, Cong Liu
2024 — conf
COSMO: A Large-Scale E-commerce Common Sense Knowledge Generation and Serving System at Amazon.
SIGMOD Conference Companion
Changlong Yu, Xin Liu, Jefferson Maia, Yang Li, Tianyu Cao, Yifan Gao, Yangqiu Song, Rahul Goutam, Haiyang Zhang, Bing Yin, Zheng Li
2024 J jnl
Cross-modulated Attention Transformer for RGBT Tracking.
CoRR
Yun Xiao, Jiacong Zhao, Andong Lu, Chenglong Li, Yin Lin, Bing Yin, Cong Liu
2024 — conf
Data Diversity Matters for Robust Instruction Tuning.
EMNLP (Findings)
Alexander Bukharin, Shiyang Li, Zhengyang Wang, Jingfeng Yang, Bing Yin, Xian Li, Chao Zhang, Tuo Zhao, Haoming Jiang
2024 A* conf
Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning.
EMNLP
Zhaoxuan Tan, Qingkai Zeng, Yijun Tian, Zheyuan Liu, Bing Yin, Meng Jiang
2024 J jnl
Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning.
CoRR
Zhaoxuan Tan, Qingkai Zeng, Yijun Tian, Zheyuan Liu, Bing Yin, Meng Jiang
2024 J jnl
Dynamic facial expression recognition with pseudo-label guided multi-modal pre-training.
IET Comput. Vis.
Bing Yin, Shi Yin, Cong Liu, Yanyong Zhang, Changfeng Xi, Baocai Yin, Zhenhua Ling
2024 J jnl
EmotiveTalk: Expressive Talking Head Generation through Audio Information Decoupling and Emotional Video Diffusion.
CoRR
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
2024 J jnl
Evaluation of GPM IMERG-FR Product for Computing Rainfall Erosivity for Mainland China.
Remote. Sens.
Wenting Wang, Yuantian Jiang, Bofu Yu, Xiaoming Zhang, Yun Xie, Bing Yin
2024 — conf
Evolutionary Contrastive Distillation for Language Model Alignment.
EMNLP (Findings)
Julian Katz-Samuels, Zheng Li, Hyokun Yun, Priyanka Nigam, Yi Xu, Vaclav Petricek, Bing Yin, Trishul Chilimbi
2024 J jnl
Evolutionary Contrastive Distillation for Language Model Alignment.
CoRR
Julian Katz-Samuels, Zheng Li, Hyokun Yun, Priyanka Nigam, Yi Xu, Vaclav Petricek, Bing Yin, Trishul Chilimbi
2024 J jnl
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond.
ACM Trans. Knowl. Discov. Data
Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Shaochen Zhong, Bing Yin, Xia Ben Hu
2024 — conf
ICDAR 2024 Competition on Recognition of Chemical Structures.
ICDAR (6)
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
2024 A* conf
Image as a Language: Revisiting Scene Text Recognition via Balanced, Unified and Synchronized Vision-Language Reasoning Network.
AAAI
Jiajun Wei, Hongjian Zhan, Yue Lu, Xiao Tu, Bing Yin, Cong Liu, Umapada Pal
2024 J jnl
Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs.
CoRR
Kewei Cheng, Jingfeng Yang, Haoming Jiang, Zhengyang Wang, Binxuan Huang, Ruirui Li, Shiyang Li, Zheng Li, Yifan Gao, Xian Li, Bing Yin, Yizhou Sun
2024 — conf
IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce.
EMNLP (Findings)
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
2024 A* conf
Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark.
EMNLP
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
2024 A* conf
LightLT: A Lightweight Representation Quantization Framework for Long-Tail Data.
ICDE
Haoyu Wang, Ruirui Li, Zhengyang Wang, Xianfeng Tang, Danqing Zhang, Monica Xiao Cheng, Bing Yin, Jasha Droppo, Suhang Wang, Jing Gao
2024 A* conf
MEMORYLLM: Towards Self-Updatable Large Language Models.
ICML
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
2024 A* conf
MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding.
EMNLP
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
2024 J jnl
MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding.
CoRR
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
2024 J jnl
NAMER: Non-Autoregressive Modeling for Handwritten Mathematical Expression Recognition.
CoRR
Chenyu Liu, Jia Pan, Jinshui Hu, Baocai Yin, Bing Yin, Mingjun Chen, Cong Liu, Jun Du, Qingfeng Liu
2024 — conf
NAMER: Non-autoregressive Modeling for Handwritten Mathematical Expression Recognition.
ECCV (57)
Chenyu Liu, Jia Pan, Jinshui Hu, Baocai Yin, Bing Yin, Mingjun Chen, Cong Liu, Jun Du, Qingfeng Liu
2024 J jnl
NDOrder: Exploring a novel decoding order for scene text recognition.
Expert Syst. Appl.
Dajian Zhong, Hongjian Zhan, Shujing Lyu, Cong Liu, Bing Yin, Palaiahnakote Shivakumara, Umapada Pal, Yue Lu
2024 J jnl
RNR: Teaching Large Language Models to Follow Roles and Rules.
CoRR
Kuan Wang, Alexander Bukharin, Haoming Jiang, Qingyu Yin, Zhengyang Wang, Tuo Zhao, Jingbo Shang, Chao Zhang, Bing Yin, Xian Li, Jianshu Chen, Shiyang Li
2024 J jnl
SEMv2: Table separation line detection based on instance segmentation.
Pattern Recognit.
Zhenrong Zhang, Pengfei Hu, Jiefeng Ma, Jun Du, Jianshu Zhang, Baocai Yin, Bing Yin, Cong Liu
2024 A* conf
Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models.
NeurIPS
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
2024 J jnl
Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models.
CoRR
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
2024 J jnl
Weakly supervised scene text generation for low-resource languages.
Expert Syst. Appl.
Yangchen Xie, Xinyuan Chen, Hongjian Zhan, Palaiahnakote Shivakumara, Bing Yin, Cong Liu, Yue Lu
2023 J jnl
1DFormer: Learning 1D Landmark Representations via Transformer for Facial Landmark Tracking.
CoRR
Shi Yin, Shijie Huan, Defu Lian, Shangfei Wang, Jinshui Hu, Tao Guo, Bing Yin, Baocai Yin, Cong Liu
2023 — conf
A Multimodal Text Block Segmentation Framework for Photo Translation.
ICIG (3)
Jiajia Wu, Anni Li, Kun Zhao, Zhengyan Yang, Bing Yin, Cong Liu, Li-Rong Dai
2023 A* conf
A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy.
KDD
Enyan Dai, Limeng Cui, Zhengyang Wang, Xianfeng Tang, Yinghan Wang, Monica Xiao Cheng, Bing Yin, Suhang Wang
2023 J jnl
A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy.
CoRR
Enyan Dai, Limeng Cui, Zhengyang Wang, Xianfeng Tang, Yinghan Wang, Monica Xiao Cheng, Bing Yin, Suhang Wang
2023 A* conf
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation.
NeurIPS
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
2023 J jnl
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation.
CoRR
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
2023 J jnl
CCGen: Explainable Complementary Concept Generation in E-Commerce.
CoRR
Jie Huang, Yifan Gao, Zheng Li, Jingfeng Yang, Yangqiu Song, Chao Zhang, Zining Zhu, Haoming Jiang, Kevin Chen-Chuan Chang, Bing Yin
2023 — conf
Context-Aware Query Rewriting for Improving Users' Search Experience on E-commerce Websites.
ACL (industry)
Simiao Zuo, Qingyu Yin, Haoming Jiang, Shaohui Xi, Bing Yin, Chao Zhang, Tuo Zhao
2023 — conf
End-to-End Multilingual Text Recognition Based on Byte Modeling.
ICIG (3)
Jiajia Wu, Kun Zhao, Zhengyan Yang, Bing Yin, Cong Liu, Li-Rong Dai
2023 A* conf
Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns.
NeurIPS
Xin Liu, Zheng Li, Yifan Gao, Jingfeng Yang, Tianyu Cao, Zhengyang Wang, Bing Yin, Yangqiu Song
2023 J jnl
Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns.
CoRR
Xin Liu, Zheng Li, Yifan Gao, Jingfeng Yang, Tianyu Cao, Zhengyang Wang, Bing Yin, Yangqiu Song
2023 A* conf
Exploiting Intent Evolution in E-commercial Query Recommendation.
KDD
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
2023 J jnl
Exploring Part-Informed Visual-Language Learning for Person Re-Identification.
CoRR
Yin Lin, Cong Liu, Yehansen Chen, Jinshui Hu, Bing Yin, Baocai Yin, Zengfu Wang
2023 — conf
FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discovery.
ACL (Findings)
Changlong Yu, Weiqi Wang, Xin Liu, Jiaxin Bai, Yangqiu Song, Zheng Li, Yifan Gao, Tianyu Cao, Bing Yin
2023 — conf
Graph Reasoning for Question Answering with Triplet Retrieval.
ACL (Findings)
Shiyang Li, Yifan Gao, Haoming Jiang, Qingyu Yin, Zheng Li, Xifeng Yan, Chao Zhang, Bing Yin
2023 J jnl
Graph Reasoning for Question Answering with Triplet Retrieval.
CoRR
Shiyang Li, Yifan Gao, Haoming Jiang, Qingyu Yin, Zheng Li, Xifeng Yan, Chao Zhang, Bing Yin
2023 A* conf
Handwritten Chemical Structure Image to Structure-Specific Markup Using Random Conditional Guided Decoder.
ACM Multimedia
Jinshui Hu, Hao Wu, Mingjun Chen, Chenyu Liu, Jiajia Wu, Shi Yin, Baocai Yin, Bing Yin, Cong Liu, Jun Du, Lirong Dai
2023 J jnl
Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond.
CoRR
Jingfeng Yang, Hongye Jin, Ruixiang Tang, Xiaotian Han, Qizhang Feng, Haoming Jiang, Bing Yin, Xia Hu
2023 A* conf
HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers.
ICLR
Chen Liang, Haoming Jiang, Zheng Li, Xianfeng Tang, Bing Yin, Tuo Zhao
2023 A* conf
Implicit Query Parsing at Amazon Product Search.
SIGIR
Chen Luo, Rahul Goutam, Haiyang Zhang, Chao Zhang, Yangqiu Song, Bing Yin
2023 — conf
Improving Consistency for Text Summarization with Energy Functions.
EMNLP (Findings)
Qi Zeng, Qingyu Yin, Zheng Li, Yifan Gao, Sreyashi Nag, Zhengyang Wang, Bing Yin, Heng Ji, Chao Zhang
2023 A* conf
Knowledge Graph Reasoning over Entities and Numerical Values.
KDD
Jiaxin Bai, Chen Luo, Zheng Li, Qingyu Yin, Bing Yin, Yangqiu Song
2023 J jnl
Knowledge Graph Reasoning over Entities and Numerical Values.
CoRR
Jiaxin Bai, Chen Luo, Zheng Li, Qingyu Yin, Bing Yin, Yangqiu Song
2023 — conf
Knowledge-Selective Pretraining for Attribute Value Extraction.
EMNLP (Findings)
Hui Liu, Qingyu Yin, Zhengyang Wang, Chenwei Zhang, Haoming Jiang, Yifan Gao, Zheng Li, Xian Li, Chao Zhang, Bing Yin, William Wang, Xiaodan Zhu
2023 A* conf
LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models.
KDD
Haoyu Wang, Ruirui Li, Haoming Jiang, Zhengyang Wang, Xianfeng Tang, Bin Bi, Monica Xiao Cheng, Bing Yin, Yaqing Wang, Tuo Zhao, Jing Gao
2023 — conf
Multimodal Prompt Learning for Product Title Generation with Extremely Limited Labels.
ACL (Findings)
Bang Yang, Fenglin Liu, Zheng Li, Qingyu Yin, Chenyu You, Bing Yin, Yuexian Zou
2023 J jnl
Multimodal Prompt Learning for Product Title Generation with Extremely Limited Labels.
CoRR
Bang Yang, Fenglin Liu, Zheng Li, Qingyu Yin, Chenyu You, Bing Yin, Yuexian Zou
2023 A* conf
Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning.
WWW
Ruijie Wang, Zheng Li, Jingfeng Yang, Tianyu Cao, Chao Zhang, Bing Yin, Tarek F. Abdelzaher
2023 J jnl
Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning.
CoRR
Ruijie Wang, Zheng Li, Jingfeng Yang, Tianyu Cao, Chao Zhang, Bing Yin, Tarek F. Abdelzaher
2023 J jnl
OTS: A One-shot Learning Approach for Text Spotting in Historical Manuscripts.
CoRR
Wenbo Hu, Hongjian Zhan, Cong Liu, Bing Yin, Yue Lu
2023 J jnl
Rainfall Erosivity Mapping for Tibetan Plateau Using High-Resolution Temporal and Spatial Precipitation Datasets for the Third Pole.
Remote. Sens.
Bing Yin, Yun Xie, Bing Liu, Baoyuan Liu
2023 — conf
SCOTT: Self-Consistent Chain-of-Thought Distillation.
ACL (1)
Peifeng Wang, Zhengyang Wang, Zheng Li, Yifan Gao, Bing Yin, Xiang Ren
2023 J jnl
SCOTT: Self-Consistent Chain-of-Thought Distillation.
CoRR
Peifeng Wang, Zhengyang Wang, Zheng Li, Yifan Gao, Bing Yin, Xiang Ren
2023 J jnl
SEMv2: Table Separation Line Detection Based on Conditional Convolution.
CoRR
Zhenrong Zhang, Pengfei Hu, Jiefeng Ma, Jun Du, Jianshu Zhang, Huihui Zhu, Baocai Yin, Bing Yin, Cong Liu
2023 J jnl
Situated Natural Language Explanations.
CoRR
Zining Zhu, Haoming Jiang, Jingfeng Yang, Sreyashi Nag, Chao Zhang, Jie Huang, Yifan Gao, Frank Rudzicz, Bing Yin
2023 A* conf
Speech4Mesh: Speech-Assisted Monocular 3D Facial Reconstruction for Speech-Driven 3D Facial Animation.
ICCV
Shan He, Haonan He, Shuo Yang, Xiaoyan Wu, Pengcheng Xia, Bing Yin, Cong Liu, Lirong Dai, Chang Xu
2023 J jnl
Visible-infrared person re-identification via specific and shared representations learning.
Vis. Intell.
Aihua Zheng, Juncong Liu, Zi Wang, Lili Huang, Chenglong Li, Bing Yin
2023 J jnl
Weakly Supervised Scene Text Generation for Low-resource Languages.
CoRR
Yangchen Xie, Xinyuan Chen, Hongjian Zhan, Palaiahankote Shivakumara, Bing Yin, Cong Liu, Yue Lu
2022 J jnl
A multimodal attention fusion network with a dynamic vocabulary for TextVQA.
Pattern Recognit.
Jiajia Wu, Jun Du, Fengren Wang, Chen Yang, Xinzhe Jiang, Jinshui Hu, Bing Yin, Jianshu Zhang, Lirong Dai
2022 — conf
AutoGDA: Automated Graph Data Augmentation for Node Classification.
LoG
Tong Zhao, Xianfeng Tang, Danqing Zhang, Haoming Jiang, Nikhil Rao, Yiwei Song, Pallav Agrawal, Karthik Subbian, Bing Yin, Meng Jiang
2022 — conf
CERES: Pretraining of Graph-Conditioned Transformer for Semi-Structured Session Data.
NAACL-HLT
Rui Feng, Chen Luo, Qingyu Yin, Bing Yin, Tuo Zhao, Chao Zhang
2022 J jnl
CERES: Pretraining of Graph-Conditioned Transformer for Semi-Structured Session Data.
CoRR
Rui Feng, Chen Luo, Qingyu Yin, Bing Yin, Tuo Zhao, Chao Zhang
2022 A* conf
Can Clicks Be Both Labels and Features?: Unbiased Behavior Feature Collection and Uncertainty-aware Learning to Rank.
SIGIR
Tao Yang, Chen Luo, Hanqing Lu, Parth Gupta, Bing Yin, Qingyao Ai
2022 A* conf
Condensing Graphs via One-Step Gradient Matching.
KDD
Wei Jin, Xianfeng Tang, Haoming Jiang, Zheng Li, Danqing Zhang, Jiliang Tang, Bing Yin
2022 J jnl
Context-Aware Query Rewriting for Improving Users' Search Experience on E-commerce Websites.
CoRR
Simiao Zuo, Qingyu Yin, Haoming Jiang, Shaohui Xi, Bing Yin, Chao Zhang, Tuo Zhao
2022 J jnl
DiP-GNN: Discriminative Pre-Training of Graph Neural Networks.
CoRR
Simiao Zuo, Haoming Jiang, Qingyu Yin, Xianfeng Tang, Bing Yin, Tuo Zhao
2022 J jnl
FolkScope: Intention Knowledge Graph Construction for Discovering E-commerce Commonsense.
CoRR
Changlong Yu, Weiqi Wang, Xin Liu, Jiaxin Bai, Yangqiu Song, Zheng Li, Yifan Gao, Tianyu Cao, Bing Yin
2022 A* conf
Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs.
NeurIPS
Ruijie Wang, Zheng Li, Dachun Sun, Shengzhong Liu, Jinning Li, Bing Yin, Tarek F. Abdelzaher
2022 J jnl
Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs.
CoRR
Ruijie Wang, Zheng Li, Dachun Sun, Shengzhong Liu, Jinning Li, Bing Yin, Tarek F. Abdelzaher
2022 — conf
Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment.
ACL (1)
Zijie Huang, Zheng Li, Haoming Jiang, Tianyu Cao, Hanqing Lu, Bing Yin, Karthik Subbian, Yizhou Sun, Wei Wang
2022 J jnl
Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment.
CoRR
Zijie Huang, Zheng Li, Haoming Jiang, Tianyu Cao, Hanqing Lu, Bing Yin, Karthik Subbian, Yizhou Sun, Wei Wang
2022 A conf
Query Attribute Recommendation at Amazon Search.
RecSys
Chen Luo, William Headden, Neela Avudaiappan, Haoming Jiang, Tianyu Cao, Qingyu Yin, Yifan Gao, Zheng Li, Rahul Goutam, Haiyang Zhang, Bing Yin
2022 A* conf
RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph.
WWW
Ruijie Wang, Zheng Li, Danqing Zhang, Qingyu Yin, Tong Zhao, Bing Yin, Tarek F. Abdelzaher
2022 J jnl
RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph.
CoRR
Ruijie Wang, Zheng Li, Danqing Zhang, Qingyu Yin, Tong Zhao, Bing Yin, Tarek F. Abdelzaher
2022 — conf
ROSE: Robust Caches for Amazon Product Search.
WWW (Companion Volume)
Chen Luo, Vihan Lakshman, Anshumali Shrivastava, Tianyu Cao, Sreyashi Nag, Rahul Goutam, Hanqing Lu, Yiwei Song, Bing Yin
2022 — conf
Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training.
NAACL-HLT (Findings)
Yifan Gao, Qingyu Yin, Zheng Li, Rui Meng, Tong Zhao, Bing Yin, Irwin King, Michael R. Lyu
2022 J jnl
Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training.
CoRR
Yifan Gao, Qingyu Yin, Zheng Li, Rui Meng, Tong Zhao, Bing Yin, Irwin King, Michael R. Lyu
2022 — conf
SEQZERO: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models.
NAACL-HLT (Findings)
Jingfeng Yang, Haoming Jiang, Qingyu Yin, Danqing Zhang, Bing Yin, Diyi Yang
2022 — conf
SGBANet: Semantic GAN and Balanced Attention Network for Arbitrarily Oriented Scene Text Recognition.
ECCV (28)
Dajian Zhong, Shujing Lyu, Palaiahnakote Shivakumara, Bing Yin, Jiajia Wu, Umapada Pal, Yue Lu
2022 J jnl
SGBANet: Semantic GAN and Balanced Attention Network for Arbitrarily Oriented Scene Text Recognition.
CoRR
Dajian Zhong, Shujing Lyu, Palaiahnakote Shivakumara, Bing Yin, Jiajia Wu, Umapada Pal, Yue Lu
2022 J jnl
SeqZero: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models.
CoRR
Jingfeng Yang, Haoming Jiang, Qingyu Yin, Danqing Zhang, Bing Yin, Diyi Yang
2022 J jnl
Short Text Pre-training with Extended Token Classification for E-commerce Query Understanding.
CoRR
Haoming Jiang, Tianyu Cao, Zheng Li, Chen Luo, Xianfeng Tang, Qingyu Yin, Danqing Zhang, Rahul Goutam, Bing Yin
2022 J jnl
Vision-Language Adaptive Mutual Decoder for OOV-STR.
CoRR
Jinshui Hu, Chenyu Liu, Qiandong Yan, Xuyang Zhu, Fengli Yu, Jiajia Wu, Bing Yin
2021 — conf
Graph-based Multilingual Product Retrieval in E-Commerce Search.
NAACL-HLT (Industry Papers)
Hanqing Lu, Youna Hu, Tong Zhao, Tony Wu, Yiwei Song, Bing Yin
2021 J jnl
Graph-based Multilingual Product Retrieval in E-commerce Search.
CoRR
Hanqing Lu, Youna Hu, Tong Zhao, Tony Wu, Yiwei Song, Bing Yin
2021 — conf
Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning.
NAACL-HLT
Hui Liu, Danqing Zhang, Bing Yin, Xiaodan Zhu
2021 J jnl
Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning.
CoRR
Hui Liu, Danqing Zhang, Bing Yin, Xiaodan Zhu
2021 J jnl
Letter from the Special Issue Editor.
IEEE Data Eng. Bull.
Bing Yin, Sreyashi Nag
2021 — conf
MetaTS: Meta Teacher-Student Network for Multilingual Sequence Labeling with Minimal Supervision.
EMNLP (1)
Zheng Li, Danqing Zhang, Tianyu Cao, Ying Wei, Yiwei Song, Bing Yin
2021 — conf
Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data.
ACL/IJCNLP (1)
Haoming Jiang, Danqing Zhang, Tianyu Cao, Bing Yin, Tuo Zhao
2021 J jnl
Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data.
CoRR
Haoming Jiang, Danqing Zhang, Tianyu Cao, Bing Yin, Tuo Zhao
2021 A conf
QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction.
CIKM
Danqing Zhang, Zheng Li, Tianyu Cao, Chen Luo, Tony Wu, Hanqing Lu, Yiwei Song, Bing Yin, Tuo Zhao, Qiang Yang
2021 J jnl
QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction.
CoRR
Danqing Zhang, Zheng Li, Tianyu Cao, Chen Luo, Tony Wu, Hanqing Lu, Yiwei Song, Bing Yin, Tuo Zhao, Qiang Yang
2020 — conf
Learn to Cross-lingual Transfer with Meta Graph Learning Across Heterogeneous Languages.
EMNLP (1)
Zheng Li, Mukul Kumar, William Headden, Bing Yin, Ying Wei, Yu Zhang, Qiang Yang
2020 J jnl
On Data Augmentation for Extreme Multi-label Classification.
CoRR
Danqing Zhang, Tao Li, Haiyang Zhang, Bing Yin
2020 J jnl
Shareable Representations for Search Query Understanding.
CoRR
Mukul Kumar, Youna Hu, Will Headden, Rahul Goutam, Heran Lin, Bing Yin
2019 A* conf
Semantic Product Search.
KDD
Priyanka Nigam, Yiwei Song, Vijai Mohan, Vihan Lakshman, Weitian Allen Ding, Ankit Shingavi, Choon Hui Teo, Hao Gu, Bing Yin
2019 J jnl
Semantic Product Search.
CoRR
Priyanka Nigam, Yiwei Song, Vijai Mohan, Vihan Lakshman, Weitian Ding, Ankit Shingavi, Choon Hui Teo, Hao Gu, Bing Yin
2018 — conf
An Analysis of Speaker Diarization Fusion Methods For The First DIHARD Challenge.
APSIPA
Bing Yin, Jun Du, Lei Sun, Xueyang Zhang, Shan He, Zhenhua Ling, Guoping Hu, Wu Guo
2018 A conf
Speaker Diarization with Enhancing Speech for the First DIHARD Challenge.
INTERSPEECH
Lei Sun, Jun Du, Chao Jiang, Xueyang Zhang, Shan He, Bing Yin, Chin-Hui Lee
2016 — conf
A purchasing management strategy model about grading and classifying railway materials based on material grouping.
LISS
Chen Zhao, Gang Xu, Yaming Tian, Wei Ren, Chengwen Lv, Bing Yin, Taixin Liang
2014 J jnl
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.
Kaifang Shi, Bailang Yu, Yixiu Huang, Yingjie Hu, Bing Yin, Zuoqi Chen, Liujia Chen, Jianping Wu
2012 Misc conf
Endpoint learning for multilinear commutator of singular integral on space of homogeneous type.
ICMLC
Jian-Guo Shi, Juan Wang, Meng Zhou, Bing Yin, Yan-Fang Shi
2009 C conf
Hierarchical Stability-Based Model Selection for Clustering Algorithms.
ICMLA
Bing Yin, Greg Hamerly