Hierarchical Stability-Based Model Selection for Clustering Algorithms. - Bing Yin; Greg Hamerly (ICMLA, 2009)

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 (ICMLC, 2012)

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. - Kaifang Shi; Bailang Yu; Yixiu Huang; Yingjie Hu; Bing Yin; Zuoqi Chen; Liujia Chen; Jianping Wu (Remote. Sens., 2014)

A purchasing management strategy model about grading and classifying railway materials based on material grouping. - Chen Zhao; Gang Xu; Yaming Tian; Wei Ren; Chengwen Lv; Bing Yin; Taixin Liang (LISS, 2016)

An Analysis of Speaker Diarization Fusion Methods For The First DIHARD Challenge. - Bing Yin; Jun Du 002; Lei Sun 010; Xueyang Zhang; Shan He; Zhenhua Ling; Guoping Hu; Wu Guo (APSIPA, 2018)

Speaker Diarization with Enhancing Speech for the First DIHARD Challenge. - Lei Sun 010; Jun Du 002; Chao Jiang; Xueyang Zhang; Shan He; Bing Yin; Chin-Hui Lee 001 (INTERSPEECH, 2018)

Semantic Product Search. - Priyanka Nigam; Yiwei Song; Vijai Mohan; Vihan Lakshman; Weitian Allen Ding; Ankit Shingavi; Choon Hui Teo; Hao Gu; Bing Yin (KDD, 2019)

Learn to Cross-lingual Transfer with Meta Graph Learning Across Heterogeneous Languages. - Zheng Li 018; Mukul Kumar; William Headden; Bing Yin; Ying Wei 001; Yu Zhang 006; Qiang Yang 001 (EMNLP (1), 2020)

Shareable Representations for Search Query Understanding. - Mukul Kumar; Youna Hu; Will Headden; Rahul Goutam; Heran Lin; Bing Yin (CoRR, 2020)

On Data Augmentation for Extreme Multi-label Classification. - Danqing Zhang; Tao Li; Haiyang Zhang; Bing Yin (CoRR, 2020)

Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data. - Haoming Jiang; Danqing Zhang; Tianyu Cao 001; Bing Yin; Tuo Zhao (ACL/IJCNLP (1), 2021)

QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction. - Danqing Zhang; Zheng Li 018; Tianyu Cao 001; Chen Luo 003; Tony Wu; Hanqing Lu; Yiwei Song; Bing Yin; Tuo Zhao; Qiang Yang 001 (CIKM, 2021)

MetaTS: Meta Teacher-Student Network for Multilingual Sequence Labeling with Minimal Supervision. - Zheng Li 018; Danqing Zhang; Tianyu Cao 001; Ying Wei 001; Yiwei Song; Bing Yin (EMNLP (1), 2021)

Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning. - Hui Liu 033; Danqing Zhang; Bing Yin; Xiaodan Zhu 001 (NAACL-HLT, 2021)

Graph-based Multilingual Product Retrieval in E-Commerce Search. - Hanqing Lu; Youna Hu; Tong Zhao 002; Tony Wu; Yiwei Song; Bing Yin (NAACL-HLT (Industry Papers), 2021)

Letter from the Special Issue Editor. - Bing Yin; Sreyashi Nag (IEEE Data Eng. Bull., 2021)

Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment. - Zijie Huang 002; Zheng Li 018; Haoming Jiang; Tianyu Cao 001; Hanqing Lu; Bing Yin; Karthik Subbian; Yizhou Sun; Wei Wang 010 (ACL (1), 2022)

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 001; Yue Lu 001 (ECCV (28), 2022)

Condensing Graphs via One-Step Gradient Matching. - Wei Jin 009; Xianfeng Tang; Haoming Jiang; Zheng Li 018; Danqing Zhang; Jiliang Tang; Bing Yin (KDD, 2022)

AutoGDA: Automated Graph Data Augmentation for Node Classification. - Tong Zhao 003; Xianfeng Tang; Danqing Zhang; Haoming Jiang; Nikhil Rao 001; Yiwei Song; Pallav Agrawal; Karthik Subbian; Bing Yin; Meng Jiang 001 (LoG, 2022)

Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training. - Yifan Gao 001; Qingyu Yin; Zheng Li 018; Rui Meng; Tong Zhao 002; Bing Yin; Irwin King; Michael R. Lyu (NAACL-HLT (Findings), 2022)

CERES: Pretraining of Graph-Conditioned Transformer for Semi-Structured Session Data. - Rui Feng; Chen Luo 003; Qingyu Yin; Bing Yin; Tuo Zhao; Chao Zhang 014 (NAACL-HLT, 2022)

SEQZERO: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models. - Jingfeng Yang 001; Haoming Jiang; Qingyu Yin; Danqing Zhang; Bing Yin; Diyi Yang (NAACL-HLT (Findings), 2022)

Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs. - Ruijie Wang 004; Zheng Li 018; Dachun Sun; Shengzhong Liu; Jinning Li 001; Bing Yin; Tarek F. Abdelzaher (NeurIPS, 2022)

Query Attribute Recommendation at Amazon Search. - Chen Luo 003; William Headden; Neela Avudaiappan; Haoming Jiang; Tianyu Cao 001; Qingyu Yin; Yifan Gao 001; Zheng Li 018; Rahul Goutam; Haiyang Zhang; Bing Yin (RecSys, 2022)

Can Clicks Be Both Labels and Features?: Unbiased Behavior Feature Collection and Uncertainty-aware Learning to Rank. - Tao Yang 030; Chen Luo 003; Hanqing Lu; Parth Gupta; Bing Yin; Qingyao Ai (SIGIR, 2022)

ROSE: Robust Caches for Amazon Product Search. - Chen Luo 003; Vihan Lakshman; Anshumali Shrivastava; Tianyu Cao 001; Sreyashi Nag; Rahul Goutam; Hanqing Lu; Yiwei Song; Bing Yin (WWW (Companion Volume), 2022)

RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph. - Ruijie Wang 004; Zheng Li 018; Danqing Zhang; Qingyu Yin; Tong Zhao 002; Bing Yin; Tarek F. Abdelzaher (WWW, 2022)

Vision-Language Adaptive Mutual Decoder for OOV-STR. - Jinshui Hu; Chenyu Liu; Qiandong Yan; Xuyang Zhu; Fengli Yu; Jiajia Wu; Bing Yin (CoRR, 2022)

DiP-GNN: Discriminative Pre-Training of Graph Neural Networks. - Simiao Zuo; Haoming Jiang; Qingyu Yin; Xianfeng Tang; Bing Yin; Tuo Zhao (CoRR, 2022)

Short Text Pre-training with Extended Token Classification for E-commerce Query Understanding. - Haoming Jiang; Tianyu Cao 001; Zheng Li 018; Chen Luo 003; Xianfeng Tang; Qingyu Yin; Danqing Zhang; Rahul Goutam; Bing Yin (CoRR, 2022)

FolkScope: Intention Knowledge Graph Construction for Discovering E-commerce Commonsense. - Changlong Yu; Weiqi Wang 001; Xin Liu 039; Jiaxin Bai; Yangqiu Song; Zheng Li 018; Yifan Gao 001; Tianyu Cao 001; Bing Yin (CoRR, 2022)

A multimodal attention fusion network with a dynamic vocabulary for TextVQA. - Jiajia Wu; Jun Du 002; Fengren Wang; Chen Yang; Xinzhe Jiang; Jinshui Hu; Bing Yin; Jianshu Zhang 001; Lirong Dai 001 (Pattern Recognit., 2022)

Graph Reasoning for Question Answering with Triplet Retrieval. - Shiyang Li; Yifan Gao 001; Haoming Jiang; Qingyu Yin; Zheng Li 018; Xifeng Yan; Chao Zhang 014; Bing Yin (ACL (Findings), 2023)

SCOTT: Self-Consistent Chain-of-Thought Distillation. - Peifeng Wang; Zhengyang Wang; Zheng Li 018; Yifan Gao 001; Bing Yin; Xiang Ren 001 (ACL (1), 2023)

Multimodal Prompt Learning for Product Title Generation with Extremely Limited Labels. - Bang Yang; Fenglin Liu; Zheng Li 018; Qingyu Yin; Chenyu You; Bing Yin; Yuexian Zou (ACL (Findings), 2023)

FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discovery. - Changlong Yu; Weiqi Wang 001; Xin Liu 039; Jiaxin Bai; Yangqiu Song; Zheng Li 018; Yifan Gao 001; Tianyu Cao 001; Bing Yin (ACL (Findings), 2023)

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 014; Tuo Zhao (ACL (industry), 2023)

Improving Consistency for Text Summarization with Energy Functions. - Qi Zeng 001; Qingyu Yin; Zheng Li 018; Yifan Gao 001; Sreyashi Nag; Zhengyang Wang; Bing Yin; Heng Ji 001; Chao Zhang 014 (EMNLP (Findings), 2023)

Knowledge-Selective Pretraining for Attribute Value Extraction. - Hui Liu 033; Qingyu Yin; Zhengyang Wang; Chenwei Zhang; Haoming Jiang; Yifan Gao 001; Zheng Li 018; Xian Li; Chao Zhang 014; Bing Yin; William Wang 001; Xiaodan Zhu 001 (EMNLP (Findings), 2023)

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 006; Lirong Dai 001; Chang Xu 002 (ICCV, 2023)

A Multimodal Text Block Segmentation Framework for Photo Translation. - Jiajia Wu; Anni Li; Kun Zhao; Zhengyan Yang; Bing Yin; Cong Liu 006; Li-Rong Dai 001 (ICIG (3), 2023)

End-to-End Multilingual Text Recognition Based on Byte Modeling. - Jiajia Wu; Kun Zhao; Zhengyan Yang; Bing Yin; Cong Liu 006; Li-Rong Dai 001 (ICIG (3), 2023)

HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers. - Chen Liang 006; Haoming Jiang; Zheng Li 018; Xianfeng Tang; Bing Yin; Tuo Zhao (ICLR, 2023)

Exploiting Intent Evolution in E-commercial Query Recommendation. - Yu Wang 158; Zhengyang Wang; Hengrui Zhang; Qingyu Yin; Xianfeng Tang; Yinghan Wang; Danqing Zhang; Limeng Cui; Monica Xiao Cheng; Bing Yin; Suhang Wang; Philip S. Yu (KDD, 2023)

Knowledge Graph Reasoning over Entities and Numerical Values. - Jiaxin Bai; Chen Luo 003; Zheng Li 018; Qingyu Yin; Bing Yin; Yangqiu Song (KDD, 2023)

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 (KDD, 2023)

LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models. - Haoyu Wang 004; Ruirui Li 002; Haoming Jiang; Zhengyang Wang; Xianfeng Tang; Bin Bi; Monica Xiao Cheng; Bing Yin; Yaqing Wang 001; Tuo Zhao; Jing Gao 004 (KDD, 2023)

Handwritten Chemical Structure Image to Structure-Specific Markup Using Random Conditional Guided Decoder. - Jinshui Hu; Hao Wu 090; Mingjun Chen; Chenyu Liu; Jiajia Wu; Shi Yin; Baocai Yin; Bing Yin; Cong Liu 006; Jun Du 002; Lirong Dai 001 (ACM Multimedia, 2023)

Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation. - Wei Jin 009; Haitao Mao; Zheng Li 018; Haoming Jiang; Chen Luo 003; Hongzhi Wen; Haoyu Han 001; Hanqing Lu; Zhengyang Wang; Ruirui Li 002; Zhen Li; Monica Xiao Cheng; et al. (NeurIPS, 2023)

Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns. - Xin Liu 039; Zheng Li 018; Yifan Gao 001; Jingfeng Yang 001; Tianyu Cao 001; Zhengyang Wang; Bing Yin; Yangqiu Song (NeurIPS, 2023)

Implicit Query Parsing at Amazon Product Search. - Chen Luo 003; Rahul Goutam; Haiyang Zhang; Chao Zhang 014; Yangqiu Song; Bing Yin (SIGIR, 2023)

Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning. - Ruijie Wang 004; Zheng Li 018; Jingfeng Yang 001; Tianyu Cao 001; Chao Zhang 014; Bing Yin; Tarek F. Abdelzaher (WWW, 2023)

SEMv2: Table Separation Line Detection Based on Conditional Convolution. - Zhenrong Zhang; Pengfei Hu 006; Jiefeng Ma; Jun Du 002; Jianshu Zhang 001; Huihui Zhu; Baocai Yin; Bing Yin; Cong Liu 006 (CoRR, 2023)

OTS: A One-shot Learning Approach for Text Spotting in Historical Manuscripts. - Wenbo Hu; Hongjian Zhan; Cong Liu 006; Bing Yin; Yue Lu 001 (CoRR, 2023)

Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond. - Jingfeng Yang 001; Hongye Jin; Ruixiang Tang; Xiaotian Han; Qizhang Feng; Haoming Jiang; Bing Yin; Xia Hu 001 (CoRR, 2023)

CCGen: Explainable Complementary Concept Generation in E-Commerce. - Jie Huang 009; Yifan Gao 001; Zheng Li 018; Jingfeng Yang 001; Yangqiu Song; Chao Zhang 014; Zining Zhu 001; Haoming Jiang; Kevin Chen-Chuan Chang; Bing Yin (CoRR, 2023)

Exploring Part-Informed Visual-Language Learning for Person Re-Identification. - Yin Lin; Cong Liu 006; Yehansen Chen; Jinshui Hu; Bing Yin; Baocai Yin; Zengfu Wang (CoRR, 2023)

Situated Natural Language Explanations. - Zining Zhu 001; Haoming Jiang; Jingfeng Yang 001; Sreyashi Nag; Chao Zhang 014; Jie Huang 009; Yifan Gao 001; Frank Rudzicz; Bing Yin (CoRR, 2023)

1DFormer: Learning 1D Landmark Representations via Transformer for Facial Landmark Tracking. - Shi Yin; Shijie Huan; Defu Lian; Shangfei Wang; Jinshui Hu; Tao Guo; Bing Yin; Baocai Yin; Cong Liu 006 (CoRR, 2023)

Visible-infrared person re-identification via specific and shared representations learning. - Aihua Zheng; Juncong Liu; Zi Wang; Lili Huang; Chenglong Li 002; Bing Yin (Vis. Intell., 2023)

Rainfall Erosivity Mapping for Tibetan Plateau Using High-Resolution Temporal and Spatial Precipitation Datasets for the Third Pole. - Bing Yin; Yun Xie; Bing Liu; Baoyuan Liu (Remote. Sens., 2023)

Image as a Language: Revisiting Scene Text Recognition via Balanced, Unified and Synchronized Vision-Language Reasoning Network. - Jiajun Wei; Hongjian Zhan; Yue Lu 001; Xiao Tu; Bing Yin; Cong Liu 006; Umapada Pal 001 (AAAI, 2024)

NAMER: Non-autoregressive Modeling for Handwritten Mathematical Expression Recognition. - Chenyu Liu; Jia Pan; Jinshui Hu; Baocai Yin; Bing Yin; Mingjun Chen; Cong Liu 006; Jun Du 002; Qingfeng Liu (ECCV (57), 2024)

IntentionQA: A Benchmark for Evaluating Purchase Intention Comprehension Abilities of Language Models in E-commerce. - Wenxuan Ding 001; Weiqi Wang 001; Sze Heng Douglas Kwok; Minghao Liu; Tianqing Fang; Jiaxin Bai; Xin Liu 039; Changlong Yu; Zheng Li 018; Chen Luo 003; Qingyu Yin; Bing Yin; et al. (EMNLP (Findings), 2024)

Data Diversity Matters for Robust Instruction Tuning. - Alexander Bukharin; Shiyang Li; Zhengyang Wang; Jingfeng Yang 001; Bing Yin; Xian Li; Chao Zhang 014; Tuo Zhao; Haoming Jiang (EMNLP (Findings), 2024)

Evolutionary Contrastive Distillation for Language Model Alignment. - Julian Katz-Samuels; Zheng Li 018; Hyokun Yun; Priyanka Nigam; Yi Xu 011; Vaclav Petricek; Bing Yin; Trishul Chilimbi (EMNLP (Findings), 2024)

Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark. - Fenglin Liu; Zheng Li 018; Hongjian Zhou; Qingyu Yin; Jingfeng Yang 001; Xianfeng Tang; Chen Luo 003; Ming Zeng 001; Haoming Jiang; Yifan Gao 001; Priyanka Nigam; Sreyashi Nag; et al. (EMNLP, 2024)

Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning. - Zhaoxuan Tan; Qingkai Zeng 001; Yijun Tian 001; Zheyuan Liu 010; Bing Yin; Meng Jiang 001 (EMNLP, 2024)

MIND: Multimodal Shopping Intention Distillation from Large Vision-language Models for E-commerce Purchase Understanding. - Baixuan Xu; Weiqi Wang 001; Haochen Shi; Wenxuan Ding 001; Huihao Jing; Tianqing Fang; Jiaxin Bai; Xin Liu 039; Changlong Yu; Zheng Li 018; Chen Luo 003; Qingyu Yin; et al. (EMNLP, 2024)

ICDAR 2024 Competition on Recognition of Chemical Structures. - Mingjun Chen; Hao Wu 090; Qikai Chang; Hanbo Cheng; Jiefeng Ma; Pengfei Hu 006; Zhenrong Zhang; Chenyu Liu; Changpeng Pi; Jinshui Hu; Baocai Yin; Bing Yin; et al. (ICDAR (6), 2024)

LightLT: A Lightweight Representation Quantization Framework for Long-Tail Data. - Haoyu Wang 004; Ruirui Li 002; Zhengyang Wang; Xianfeng Tang; Danqing Zhang; Monica Xiao Cheng; Bing Yin; Jasha Droppo; Suhang Wang; Jing Gao 004 (ICDE, 2024)

MEMORYLLM: Towards Self-Updatable Large Language Models. - Yu Wang 170; Yifan Gao 001; Xiusi Chen; Haoming Jiang; Shiyang Li; Jingfeng Yang 001; Qingyu Yin; Zheng Li 018; Xian Li; Bing Yin; Jingbo Shang; Julian J. McAuley (ICML, 2024)

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 006 (IJCAI, 2024)

Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models. - Yilun Jin; Zheng Li 018; Chenwei Zhang; Tianyu Cao 001; Yifan Gao 001; Pratik Jayarao; Mao Li; Xin Liu 039; Ritesh Sarkhel; Xianfeng Tang; Haodong Wang; Zhengyang Wang; et al. (NeurIPS, 2024)

COSMO: A Large-Scale E-commerce Common Sense Knowledge Generation and Serving System at Amazon. - Changlong Yu; Xin Liu 039; Jefferson Maia; Yang Li 055; Tianyu Cao 001; Yifan Gao 001; Yangqiu Song; Rahul Goutam; Haiyang Zhang; Bing Yin; Zheng Li 018 (SIGMOD Conference Companion, 2024)

Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs. - Kewei Cheng; Jingfeng Yang 001; Haoming Jiang; Zhengyang Wang; Binxuan Huang; Ruirui Li 002; Shiyang Li; Zheng Li 018; Yifan Gao 001; Xian Li; Bing Yin; Yizhou Sun (CoRR, 2024)

RNR: Teaching Large Language Models to Follow Roles and Rules. - Kuan Wang; Alexander Bukharin; Haoming Jiang; Qingyu Yin; Zhengyang Wang; Tuo Zhao; Jingbo Shang; Chao Zhang 014; Bing Yin; Xian Li; Jianshu Chen; Shiyang Li (CoRR, 2024)

NDOrder: Exploring a novel decoding order for scene text recognition. - Dajian Zhong; Hongjian Zhan; Shujing Lyu; Cong Liu 006; Bing Yin; Palaiahnakote Shivakumara; Umapada Pal 001; Yue Lu 001 (Expert Syst. Appl., 2024)

SEMv2: Table separation line detection based on instance segmentation. - Zhenrong Zhang; Pengfei Hu 006; Jiefeng Ma; Jun Du 002; Jianshu Zhang 001; Baocai Yin; Bing Yin; Cong Liu 006 (Pattern Recognit., 2024)

Dynamic facial expression recognition with pseudo-label guided multi-modal pre-training. - Bing Yin; Shi Yin; Cong Liu 006; Yanyong Zhang; Changfeng Xi; Baocai Yin; Zhenhua Ling (IET Comput. Vis., 2024)

Weakly supervised scene text generation for low-resource languages. - Yangchen Xie; Xinyuan Chen; Hongjian Zhan; Palaiahnakote Shivakumara; Bing Yin; Cong Liu 006; Yue Lu 001 (Expert Syst. Appl., 2024)

Evaluation of GPM IMERG-FR Product for Computing Rainfall Erosivity for Mainland China. - Wenting Wang; Yuantian Jiang; Bofu Yu; Xiaoming Zhang; Yun Xie; Bing Yin (Remote. Sens., 2024)

Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond. - Jingfeng Yang 001; Hongye Jin; Ruixiang Tang; Xiaotian Han; Qizhang Feng; Haoming Jiang; Shaochen Zhong; Bing Yin; Xia Ben Hu (ACM Trans. Knowl. Discov. Data, 2024)

Cross-modulated Attention Transformer for RGBT Tracking. - Yun Xiao 003; Jiacong Zhao; Andong Lu; Chenglong Li 002; Bing Yin; Yin Lin; Cong Liu 006 (AAAI, 2025)

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 011; Yi Pan; Bing Yin; Trishul Chilimbi (ACL (1), 2025)

UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations. - Fengran Mo; Yifan Gao 001; Chuan Meng; Xin Liu 039; Zhuofeng Wu 005; Kelong Mao; Zhengyang Wang; Pei Chen; Zheng Li 018; Xian Li; Bing Yin; Meng Jiang 001 (ACL (1), 2025)

Aligning Large Language Models with Implicit Preferences from User-Generated Content. - Zhaoxuan Tan; Zheng Li 018; Tianyi Liu; Haodong Wang; Hyokun Yun; Ming Zeng 001; Pei Chen; Zhihan Zhang 001; Yifan Gao 001; Ruijie Wang 004; Priyanka Nigam; Bing Yin; et al. (ACL (1), 2025)

M-LLM Based Video Frame Selection for Efficient Video Understanding. - Kai Hu; Feng Gao; Xiaohan Nie; Peng Zhou; Son Tran; Tal Neiman; Lingyun Wang 005; Mubarak Shah; Raffay Hamid; Bing Yin; Trishul Chilimbi (CVPR, 2025)

EmotiveTalk: Expressive Talking Head Generation through Audio Information Decoupling and Emotional Video Diffusion. - Haotian Wang; Yuzhe Weng; Yueyan Li; Zilu Guo; Jun Du 002; Shutong Niu; Jiefeng Ma; Shan He; Xiaoyan Wu; Qiming Hu; Bing Yin; Cong Liu 006; et al. (CVPR, 2025)

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 (ICASSP, 2025)

Col-OLHTR: A Novel Framework for Multimodal Online Handwritten Text Recognition. - Chenyu Liu; Jinshui Hu; Baocai Yin; Jia Pan; Bing Yin; Jun Du 002; Qingfeng Liu (ICASSP, 2025)

LongLeader: A Comprehensive Leaderboard for Large Language Models in Long-context Scenarios. - Pei Chen; Hongye Jin; Cheng-Che Lee; Rulin Shao; Jingfeng Yang 001; Mingyu Zhao; Zhaoyu Zhang; Qin Lu; Kaiwen Men; Ning Xie; Huasheng Li; Bing Yin; et al. (NAACL (Long Papers), 2025)

IHEval: Evaluating Language Models on Following the Instruction Hierarchy. - Zhihan Zhang 001; Shiyang Li; Zixuan Zhang; Xin Liu 039; Haoming Jiang; Xianfeng Tang; Yifan Gao 001; Zheng Li 018; Haodong Wang; Zhaoxuan Tan; Yichuan Li 001; Qingyu Yin; et al. (NAACL (Long Papers), 2025)

Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training. - Yuchen Zhuang; Jingfeng Yang 001; Haoming Jiang; Xin Liu 039; Kewei Cheng; Sanket Lokegaonkar; Yifan Gao 001; Qing Ping; Tianyi Liu; Binxuan Huang; Zheng Li 018; Zhengyang Wang; et al. (NAACL (Long Papers), 2025)

VGTS: Visually Guided Text Spotting for novel categories in historical manuscripts. - Wenbo Hu; Hongjian Zhan; Xinchen Ma; Cong Liu 006; Bing Yin; Yue Lu 001; Ching Y. Suen (Expert Syst. Appl., 2025)

Diff-TST: Diffusion model for one-shot text-image style transfer. - Sizhe Pang; Xinyuan Chen; Yangchen Xie; Hongjian Zhan; Bing Yin; Yue Lu 001 (Expert Syst. Appl., 2025)

A multimodal multidomain multilingual medical foundation model for zero shot clinical diagnosis. - Fenglin Liu; Zheng Li 018; Qingyu Yin; Jinfa Huang; Jiebo Luo 001; Anshul Thakur; Kim Branson 001; Patrick Schwab; Bing Yin; Xian Wu 001; Yefeng Zheng 001; David A. Clifton (npj Digit. Medicine, 2025)

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 (CoRR, 2025)

SessionIntentBench: A Multi-task Inter-session Intention-shift Modeling Benchmark for E-commerce Customer Behavior Understanding. - Yuqi Yang; Weiqi Wang 001; Baixuan Xu; Wei Fan 001; Qing Zong; Chunkit Chan; Zheye Deng; Xin Liu 039; Yifan Gao 001; Changlong Yu; Chen Luo 003; Yang Li 055; et al. (CoRR, 2025)

READ: Real-time and Efficient Asynchronous Diffusion for Audio-driven Talking Head Generation. - Haotian Wang; Yuzhe Weng; Jun Du 002; Haoran Xu; Xiaoyan Wu; Shan He; Bing Yin; Cong Liu 006; Jianqing Gao; Qingfeng Liu (CoRR, 2025)

DocR1: Evidence Page-Guided GRPO for Multi-Page Document Understanding. - Junyu Xiong; Yonghui Wang; Weichao Zhao; Chenyu Liu; Bing Yin; Wengang Zhou 001; Houqiang Li (CoRR, 2025)

TransLLM: A Unified Multi-Task Foundation Framework for Urban Transportation via Learnable Prompting. - Jiaming Leng; Yunying Bi; Chuan Qin; Bing Yin; Yanyong Zhang; Chao Wang (CoRR, 2025)