End-to-End Adversarial Memory Network for Cross-domain Sentiment Classification. - Zheng Li 018; Yu Zhang 006; Ying Wei 001; Yuxiang Wu; Qiang Yang 001 (IJCAI, 2017)

Hierarchical Attention Transfer Network for Cross-Domain Sentiment Classification. - Zheng Li 018; Ying Wei 001; Yu Zhang 006; Qiang Yang 001 (AAAI, 2018)

Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification. - Zheng Li 018; Ying Wei 001; Yu Zhang 006; Xiang Zhang 001; Xin Li 056; Qiang Yang 001 (CoRR, 2018)

Exploiting Coarse-to-Fine Task Transfer for Aspect-Level Sentiment Classification. - Zheng Li 018; Ying Wei 001; Yu Zhang 006; Xiang Zhang 001; Xin Li 056 (AAAI, 2019)

Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning. - Zheng Li 018; Xin Li 056; Ying Wei 001; Lidong Bing; Yu Zhang 006; Qiang Yang 001 (EMNLP/IJCNLP (1), 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)

Unsupervised Cross-lingual Adaptation for Sequence Tagging and Beyond. - Xin Li 056; Lidong Bing; Wenxuan Zhang 001; Zheng Li 018; Wai Lam (CoRR, 2020)

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)

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)

Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering. - Juan Zha; Zheng Li 018; Ying Wei 001; Yu Zhang 006 (EMNLP (Findings), 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)

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)

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)

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)

Condensing Graphs via One-Step Gradient Matching. - Wei Jin 009; Xianfeng Tang; Haoming Jiang; Zheng Li 018; Danqing Zhang; Jiliang Tang; Bin Ying (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)

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)

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)

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)

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

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)

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

A Survey of Large Language Models in Medicine: Progress, Application, and Challenge. - Hongjian Zhou; Boyang Gu; Xinyu Zou; Yiru Li; Sam S. Chen; Peilin Zhou; Junling Liu; Yining Hua; Chengfeng Mao; Xian Wu 001; Zheng Li 018; Fenglin Liu (CoRR, 2023)

Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs. - Bowen Jin; Chulin Xie; Jiawei Zhang 001; Kashob Kumar Roy; Yu Zhang 044; Zheng Li 018; Ruirui Li 002; Xianfeng Tang; Suhang Wang; Yu Meng 001; Jiawei Han 001 (ACL (Findings), 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)

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)

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)

Language Models as Semantic Indexers. - Bowen Jin; Hansi Zeng; Guoyin Wang 001; Xiusi Chen; Tianxin Wei; Ruirui Li 002; Zhengyang Wang; Zheng Li 018; Yang Li; Hanqing Lu; Suhang Wang; Jiawei Han 001; et al. (ICML, 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)

Understanding Inter-Session Intentions via Complex Logical Reasoning. - Jiaxin Bai; Chen Luo 003; Zheng Li 018; Qingyu Yin; Yangqiu Song (KDD, 2024)

IterAlign: Iterative Constitutional Alignment of Large Language Models. - Xiusi Chen; Hongzhi Wen; Sreyashi Nag; Chen Luo 003; Qingyu Yin; Ruirui Li 002; Zheng Li 018; Wei Wang 010 (NAACL-HLT, 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)

Hierarchical Query Classification in E-commerce Search. - Bing He 002; Sreyashi Nag; Limeng Cui; Suhang Wang; Zheng Li 018; Rahul Goutam; Zhen Li; Haiyang Zhang (WWW (Companion Volume), 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)

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)

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)

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)

Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models. - Yingqian Cui; Pengfei He; Jingying Zeng; Hui Liu 003; Xianfeng Tang; Zhenwei Dai; Yan Han 001; Chen Luo 003; Jing Huang; Zheng Li 018; Suhang Wang; Yue Xing 002; et al. (CoRR, 2025)

How Far are LLMs from Real Search? A Comprehensive Study on Efficiency, Completeness, and Inherent Capabilities. - Minhua Lin; Hui Liu 003; Xianfeng Tang; Jingying Zeng; Zhenwei Dai; Chen Luo 003; Zheng Li 018; Xiang Zhang 001; Qi He 002; Suhang Wang (CoRR, 2025)

Examples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-Commerce. - Jingying Zeng; Zhenwei Dai; Hui Liu 003; Samarth Varshney; Zhiji Liu; Chen Luo 003; Zheng Li 018; Qi He 002; Xianfeng Tang (CoRR, 2025)

Bradley-Terry and Multi-Objective Reward Modeling Are Complementary. - Zhiwei Zhang; Hui Liu; Xiaomin Li; Zhenwei Dai; Jingying Zeng; Fali Wang; Minhua Lin; Ramraj Chandradevan; Zheng Li 018; Chen Luo 003; Xianfeng Tang; Qi He 002; et al. (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)