Bing Yin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
77
Venues
23
Active years
2009–2026
Best venue rank
A*
Where they publish
- A*ACL15 papers
- A*EMNLP15 papers
- ANAACL8 papers
- A*KDD7 papers
- A*AAAI6 papers
- A*WWW4 papers
- A*CVPR2 papers
- MulticonferenceICASSP2 papers
- A*ECCV2 papers
- NationalICIG2 papers
- A*SIGIR2 papers
- AICDAR1 paper
- A*ICDE1 paper
- A*ICML1 paper
- A*IJCAI1 paper
- A*SIGMOD1 paper
- A*ICCV1 paper
- A*ICLR1 paper
- ARecSys1 paper
- ACIKM1 paper
- AInterspeech1 paper
- NationalICMLC1 paper
- CICMLA1 paper
Papers
77 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | READ: Real-time and Efficient Asynchronous Diffusion for Audio-driven Talking Head Generation. | Haotian Wang, Yuzhe Weng, Jun Du, Haoran Xu, Xiaoyan Wu, Shan He, Bing Yin, Cong Liu, Jianqing Gao, Qingfeng Liu |
| 2026 | AAAI | DocR1: Evidence Page-Guided GRPO for Multi-Page Document Understanding. | Junyu Xiong, Yonghui Wang, Weichao Zhao, Chenyu Liu, Bing Yin, Wengang Zhou, Houqiang Li |
| 2026 | AAAI | Binary-Gaussian: Compact and Progressive Representation for 3D Gaussian Segmentation. | An Yang, Chenyu Liu, Jun Du, Jianqing Gao, Jia Pan, Jinshui Hu, Baocai Yin, Bing Yin, Cong Liu |
| 2026 | AAAI | Breaking Model Lock-in: Cost-Efficient Zero-Shot LLM Routing via a Universal Latent Space. | Cheng Yan, Wuyang Zhang, Zhiyuan Ning, Fan Xu, Ziyang Tao, Lu Zhang, Bing Yin, Yanyong Zhang |
| 2026 | ACL | DeepPlanner: Scaling Planning Capability for Deep Research Agents via Advantage Shaping. | Wei Fan, Wenlin Yao, Zheng Li, Feng Yao, Xin Liu, Liang Qiu, Qingyu Yin, Yangqiu Song, Bing Yin |
| 2026 | ACL | TransLLM: A Unified Multi-Task Large Language Model for Urban Transportation via Learnable Prompting. | Jiaming Leng, Yunying Bi, Chuan Qin, Zhenya Huang, Bing Yin, Haojie Ren, Yanyong Zhang, Chao Wang |
| 2026 | ACL | Mitigating Lost in Multi-turn Conversation via Curriculum RL with Verifiable Accuracy and Abstention Rewards. | Ming Li, Pei Chen, Zhenhao Zhang, Tao Yang, Xinyang Zhang, Han Li, Tianyu Cao, Ming Zeng, Zhuofeng Wu, Meng Jiang, Huasheng Li, Lihong Li, Bing Yin |
| 2026 | ACL | SessionIntentBench: A Multi-task Inter-session Intention-shift Modeling Benchmark for E-commerce Customer Behavior Understanding. | 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 |
| 2026 | ACL | On-Policy Self-Distillation for Efficient Diffusion Language Models with Early-Stage Calibration. | Huaisheng Zhu, MingYu Liu, Junze Liu, Zhen Ge, Tian Wang, Jiri Gesi, Dakuo Wang, Weiqi Zhang, Houyu Zhang, Yufan Guo, Xian Li, Bing Yin, Sujay Sanghavi |
| 2026 | KDD | Rethinking Popularity Bias in Collaborative Filtering via Analytical Vector Decomposition. | Lingfeng Liu, Yixin Song, Dazhong Shen, Bing Yin, Hao Li, Yanyong Zhang, Chao Wang |
| 2026 | WWW | MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation. | Ranxu Zhang, Junjie Meng, Ying Sun, Ziqi Xu, Bing Yin, Hao Li, Yanyong Zhang, Chao Wang |
| 2025 | AAAI | Cross-modulated Attention Transformer for RGBT Tracking. | Yun Xiao, Jiacong Zhao, Andong Lu, Chenglong Li, Bing Yin, Yin Lin, Cong Liu |
| 2025 | ACL | AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs. | Nicholas E. Corrado, Julian Katz-Samuels, Adithya M. Devraj, Hyokun Yun, Chao Zhang, Yi Xu, Yi Pan, Bing Yin, Trishul Chilimbi |
| 2025 | ACL | UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations. | 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 | ACL | Aligning Large Language Models with Implicit Preferences from User-Generated Content. | 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 | CVPR | M-LLM Based Video Frame Selection for Efficient Video Understanding. | Kai Hu, Feng Gao, Xiaohan Nie, Peng Zhou, Son Tran, Tal Neiman, Lingyun Wang, Mubarak Shah, Raffay Hamid, Bing Yin, Trishul Chilimbi |
| 2025 | CVPR | EmotiveTalk: Expressive Talking Head Generation through Audio Information Decoupling and Emotional Video Diffusion. | 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 | EMNLP | Improving Large Language Models Function Calling and Interpretability via Guided-Structured Templates. | 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 | EMNLP | Can Language Models Follow Multiple Turns of Entangled Instructions? | 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 | EMNLP | DrAgent: Empowering Large Language Models as Medical Agents for Multi-hop Medical Reasoning. | 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 | EMNLP | WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning. | 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 | EMNLP | DORM: Preference Data Weights Optimization for Reward Modeling in LLM Alignment. | 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 | ICASSP | Efficient Fine-tuning Strategies for Enhancing Face Recognition Performance in Challenging Scenarios. | Yin Lin, Ziyang Wu, Qidong Huang, Xinran Liu, Baocai Yin, Jinshui Hu, Bing Yin, Zengfu Wang |
| 2025 | ICASSP | Col-OLHTR: A Novel Framework for Multimodal Online Handwritten Text Recognition. | Chenyu Liu, Jinshui Hu, Baocai Yin, Jia Pan, Bing Yin, Jun Du, Qingfeng Liu |
| 2025 | NAACL | LongLeader: A Comprehensive Leaderboard for Large Language Models in Long-context Scenarios. | 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 | NAACL | IHEval: Evaluating Language Models on Following the Instruction Hierarchy. | 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 | NAACL | Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training. | 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 |
| 2024 | AAAI | Image as a Language: Revisiting Scene Text Recognition via Balanced, Unified and Synchronized Vision-Language Reasoning Network. | Jiajun Wei, Hongjian Zhan, Yue Lu, Xiao Tu, Bing Yin, Cong Liu, Umapada Pal |
| 2024 | ECCV | NAMER: Non-autoregressive Modeling for Handwritten Mathematical Expression Recognition. | Chenyu Liu, Jia Pan, Jinshui Hu, Baocai Yin, Bing Yin, Mingjun Chen, Cong Liu, Jun Du, Qingfeng Liu |
| 2024 | EMNLP | IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce. | 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 | EMNLP | Data Diversity Matters for Robust Instruction Tuning. | Alexander Bukharin, Shiyang Li, Zhengyang Wang, Jingfeng Yang, Bing Yin, Xian Li, Chao Zhang, Tuo Zhao, Haoming Jiang |
| 2024 | EMNLP | Evolutionary Contrastive Distillation for Language Model Alignment. | Julian Katz-Samuels, Zheng Li, Hyokun Yun, Priyanka Nigam, Yi Xu, Vaclav Petricek, Bing Yin, Trishul Chilimbi |
| 2024 | EMNLP | Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark. | 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 | EMNLP | Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning. | Zhaoxuan Tan, Qingkai Zeng, Yijun Tian, Zheyuan Liu, Bing Yin, Meng Jiang |
| 2024 | EMNLP | MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding. | 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 | ICDAR | ICDAR 2024 Competition on Recognition of Chemical Structures. | 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 | ICDE | LightLT: A Lightweight Representation Quantization Framework for Long-Tail Data. | Haoyu Wang, Ruirui Li, Zhengyang Wang, Xianfeng Tang, Danqing Zhang, Monica Xiao Cheng, Bing Yin, Jasha Droppo, Suhang Wang, Jing Gao |
| 2024 | ICML | MEMORYLLM: Towards Self-Updatable Large Language Models. | 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 | IJCAI | 1DFormer: A Transformer Architecture Learning 1D Landmark Representations for Facial Landmark Tracking. | Shi Yin, Shijie Huan, Shangfei Wang, Jinshui Hu, Tao Guo, Bing Yin, Baocai Yin, Cong Liu |
| 2024 | SIGMOD | COSMO: A Large-Scale E-commerce Common Sense Knowledge Generation and Serving System at Amazon. | Changlong Yu, Xin Liu, Jefferson Maia, Yang Li, Tianyu Cao, Yifan Gao, Yangqiu Song, Rahul Goutam, Haiyang Zhang, Bing Yin, Zheng Li |
| 2023 | ACL | Graph Reasoning for Question Answering with Triplet Retrieval. | Shiyang Li, Yifan Gao, Haoming Jiang, Qingyu Yin, Zheng Li, Xifeng Yan, Chao Zhang, Bing Yin |
| 2023 | ACL | SCOTT: Self-Consistent Chain-of-Thought Distillation. | Peifeng Wang, Zhengyang Wang, Zheng Li, Yifan Gao, Bing Yin, Xiang Ren |
| 2023 | ACL | Multimodal Prompt Learning for Product Title Generation with Extremely Limited Labels. | Bang Yang, Fenglin Liu, Zheng Li, Qingyu Yin, Chenyu You, Bing Yin, Yuexian Zou |
| 2023 | ACL | FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discovery. | Changlong Yu, Weiqi Wang, Xin Liu, Jiaxin Bai, Yangqiu Song, Zheng Li, Yifan Gao, Tianyu Cao, Bing Yin |
| 2023 | ACL | Context-Aware Query Rewriting for Improving Users' Search Experience on E-commerce Websites. | Simiao Zuo, Qingyu Yin, Haoming Jiang, Shaohui Xi, Bing Yin, Chao Zhang, Tuo Zhao |
| 2023 | EMNLP | Improving Consistency for Text Summarization with Energy Functions. | Qi Zeng, Qingyu Yin, Zheng Li, Yifan Gao, Sreyashi Nag, Zhengyang Wang, Bing Yin, Heng Ji, Chao Zhang |
| 2023 | EMNLP | Knowledge-Selective Pretraining for Attribute Value Extraction. | 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 | ICCV | Speech4Mesh: Speech-Assisted Monocular 3D Facial Reconstruction for Speech-Driven 3D Facial Animation. | Shan He, Haonan He, Shuo Yang, Xiaoyan Wu, Pengcheng Xia, Bing Yin, Cong Liu, Lirong Dai, Chang Xu |
| 2023 | ICIG | A Multimodal Text Block Segmentation Framework for Photo Translation. | Jiajia Wu, Anni Li, Kun Zhao, Zhengyan Yang, Bing Yin, Cong Liu, Li-Rong Dai |
| 2023 | ICIG | End-to-End Multilingual Text Recognition Based on Byte Modeling. | Jiajia Wu, Kun Zhao, Zhengyan Yang, Bing Yin, Cong Liu, Li-Rong Dai |
| 2023 | ICLR | HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers. | Chen Liang, Haoming Jiang, Zheng Li, Xianfeng Tang, Bing Yin, Tuo Zhao |
| 2023 | KDD | Exploiting Intent Evolution in E-commercial Query Recommendation. | 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 | KDD | Knowledge Graph Reasoning over Entities and Numerical Values. | Jiaxin Bai, Chen Luo, Zheng Li, Qingyu Yin, Bing Yin, Yangqiu Song |
| 2023 | KDD | A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy. | Enyan Dai, Limeng Cui, Zhengyang Wang, Xianfeng Tang, Yinghan Wang, Monica Xiao Cheng, Bing Yin, Suhang Wang |
| 2023 | KDD | LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models. | Haoyu Wang, Ruirui Li, Haoming Jiang, Zhengyang Wang, Xianfeng Tang, Bin Bi, Monica Xiao Cheng, Bing Yin, Yaqing Wang, Tuo Zhao, Jing Gao |
| 2023 | WWW | Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning. | Ruijie Wang, Zheng Li, Jingfeng Yang, Tianyu Cao, Chao Zhang, Bing Yin, Tarek F. Abdelzaher |
| 2023 | SIGIR | Implicit Query Parsing at Amazon Product Search. | Chen Luo, Rahul Goutam, Haiyang Zhang, Chao Zhang, Yangqiu Song, Bing Yin |
| 2022 | ACL | Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment. | Zijie Huang, Zheng Li, Haoming Jiang, Tianyu Cao, Hanqing Lu, Bing Yin, Karthik Subbian, Yizhou Sun, Wei Wang |
| 2022 | ECCV | SGBANet: Semantic GAN and Balanced Attention Network for Arbitrarily Oriented Scene Text Recognition. | Dajian Zhong, Shujing Lyu, Palaiahnakote Shivakumara, Bing Yin, Jiajia Wu, Umapada Pal, Yue Lu |
| 2022 | KDD | Condensing Graphs via One-Step Gradient Matching. | Wei Jin, Xianfeng Tang, Haoming Jiang, Zheng Li, Danqing Zhang, Jiliang Tang, Bing Yin |
| 2022 | NAACL | Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training. | Yifan Gao, Qingyu Yin, Zheng Li, Rui Meng, Tong Zhao, Bing Yin, Irwin King, Michael R. Lyu |
| 2022 | NAACL | CERES: Pretraining of Graph-Conditioned Transformer for Semi-Structured Session Data. | Rui Feng, Chen Luo, Qingyu Yin, Bing Yin, Tuo Zhao, Chao Zhang |
| 2022 | NAACL | SEQZERO: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models. | Jingfeng Yang, Haoming Jiang, Qingyu Yin, Danqing Zhang, Bing Yin, Diyi Yang |
| 2022 | RecSys | Query Attribute Recommendation at Amazon Search. | Chen Luo, William Headden, Neela Avudaiappan, Haoming Jiang, Tianyu Cao, Qingyu Yin, Yifan Gao, Zheng Li, Rahul Goutam, Haiyang Zhang, Bing Yin |
| 2022 | WWW | ROSE: Robust Caches for Amazon Product Search. | Chen Luo, Vihan Lakshman, Anshumali Shrivastava, Tianyu Cao, Sreyashi Nag, Rahul Goutam, Hanqing Lu, Yiwei Song, Bing Yin |
| 2022 | WWW | RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph. | Ruijie Wang, Zheng Li, Danqing Zhang, Qingyu Yin, Tong Zhao, Bing Yin, Tarek F. Abdelzaher |
| 2022 | SIGIR | Can Clicks Be Both Labels and Features?: Unbiased Behavior Feature Collection and Uncertainty-aware Learning to Rank. | Tao Yang, Chen Luo, Hanqing Lu, Parth Gupta, Bing Yin, Qingyao Ai |
| 2021 | ACL | Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data. | Haoming Jiang, Danqing Zhang, Tianyu Cao, Bing Yin, Tuo Zhao |
| 2021 | CIKM | QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction. | Danqing Zhang, Zheng Li, Tianyu Cao, Chen Luo, Tony Wu, Hanqing Lu, Yiwei Song, Bing Yin, Tuo Zhao, Qiang Yang |
| 2021 | EMNLP | MetaTS: Meta Teacher-Student Network for Multilingual Sequence Labeling with Minimal Supervision. | Zheng Li, Danqing Zhang, Tianyu Cao, Ying Wei, Yiwei Song, Bing Yin |
| 2021 | NAACL | Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning. | Hui Liu, Danqing Zhang, Bing Yin, Xiaodan Zhu |
| 2021 | NAACL | Graph-based Multilingual Product Retrieval in E-Commerce Search. | Hanqing Lu, Youna Hu, Tong Zhao, Tony Wu, Yiwei Song, Bing Yin |
| 2020 | EMNLP | Learn to Cross-lingual Transfer with Meta Graph Learning Across Heterogeneous Languages. | Zheng Li, Mukul Kumar, William Headden, Bing Yin, Ying Wei, Yu Zhang, Qiang Yang |
| 2019 | KDD | Semantic Product Search. | Priyanka Nigam, Yiwei Song, Vijai Mohan, Vihan Lakshman, Weitian Allen Ding, Ankit Shingavi, Choon Hui Teo, Hao Gu, Bing Yin |
| 2018 | Interspeech | Speaker Diarization with Enhancing Speech for the First DIHARD Challenge. | Lei Sun, Jun Du, Chao Jiang, Xueyang Zhang, Shan He, Bing Yin, Chin-Hui Lee |
| 2012 | ICMLC | Endpoint learning for multilinear commutator of singular integral on space of homogeneous type. | Jian-Guo Shi, Juan Wang, Meng Zhou, Bing Yin, Yan-Fang Shi |
| 2009 | ICMLA | Hierarchical Stability-Based Model Selection for Clustering Algorithms. | Bing Yin, Greg Hamerly |