| 2026 | AAAI | Length-Adaptive Interest Network for Balancing Long and Short Sequence Modeling in CTR Prediction. | Zhicheng Zhang, Zhaocheng Du, Jieming Zhu, Jiwei Tang, Fengyuan Lu, Wang Jiaheng, Song-Li Wu, Qianhui Zhu, Jingyu Li, Hai-Tao Zheng, Zhenhua Dong |
| 2026 | ACL | CORD: Bridging the Audio-Text Reasoning Gap via Weighted On-policy Cross-modal Distillation. | Hu Jing, Danxiang Zhu, Xianlong Luo, Dan Zhang, Shuwei He, Yishu Lei, Shikun Feng, Hai-Tao Zheng, Jingzhou He, Yu Sun, Hua Wu, Haifeng Wang |
| 2026 | ACL | CL²GEC: A Multi-Discipline Benchmark for Continual Learning in Chinese Literature Grammatical Error Correction. | Shang Qin, Jingheng Ye, Yinghui Li, Hai-Tao Zheng, Qi Li, Jinxiao Shan, Zhixing Li, Hong-Gee Kim |
| 2026 | ACL | Read As Human: Compressing Context via Parallelizable Close Reading and Skimming. | Jiwei Tang, Shilei Liu, Zhicheng Zhang, Qingsong Lv, Runsong Zhao, Tingwei Lu, Langming Liu, Haibin Chen, Yujin Yuan, Hai-Tao Zheng, Wenbo Su, Bo Zheng |
| 2026 | ACL | GMSA: Enhancing Context Compression via Group Merging and Layer Semantic Alignment. | Jiwei Tang, Zhicheng Zhang, Shunlong Wu, Jingheng Ye, Lichen Bai, Zitai Wang, Tingwei Lu, Lin Hai, Yiming Zhao, Hai-Tao Zheng, Hong-Gee Kim |
| 2025 | AAAI | EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error Correction. | Jingheng Ye, Shang Qin, Yinghui Li, Xuxin Cheng, Libo Qin, Hai-Tao Zheng, Ying Shen, Peng Xing, Zishan Xu, Guo Cheng, Wenhao Jiang |
| 2025 | ACL | DAST: Context-Aware Compression in LLMs via Dynamic Allocation of Soft Tokens. | Shaoshen Chen, Yangning Li, Zishan Xu, Yongqin Zeng, Shunlong Wu, Xinshuo Hu, Zifei Shan, Xin Su, Jiwei Tang, Yinghui Li, Hai-Tao Zheng |
| 2025 | ACL | Rethinking the Roles of Large Language Models in Chinese Grammatical Error Correction. | Yinghui Li, Shang Qin, Jingheng Ye, Haojing Huang, Yangning Li, Shu-Yu Guo, Libo Qin, Xuming Hu, Wenhao Jiang, Hai-Tao Zheng, Philip S. Yu |
| 2025 | ACL | CLEME2.0: Towards Interpretable Evaluation by Disentangling Edits for Grammatical Error Correction. | Jingheng Ye, Zishan Xu, Yinghui Li, Linlin Song, Qingyu Zhou, Hai-Tao Zheng, Ying Shen, Wenhao Jiang, Hong-Gee Kim, Ruitong Liu, Xin Su, Zifei Shan |
| 2025 | CIKM | Dual Denoising Diffusion Model for Session-based Social Recommendation. | Mengying Lu, Hai-Tao Zheng, Lan Zhou, Qi Li, Jinxiao Shan, Zhixing Li, Hong-Gee Kim |
| 2025 | ECAI | LexSemBridge: Fine-Grained Dense Representation Enhancement Through Token-Aware Embedding Augmentation. | Shaoxiong Zhan, Hai Lin, Hongming Tan, Xiaodong Cai, Hai-Tao Zheng, Xin Su, Zifei Shan, Ruitong Liu, Hong-Gee Kim |
| 2025 | EMNLP | Teaching According to Talents! Instruction Tuning LLMs with Competence-Aware Curriculum Learning. | Yangning Li, Tingwei Lu, Yinghui Li, Yankai Chen, Wei-Chieh Huang, Wenhao Jiang, Hui Wang, Hai-Tao Zheng, Philip S. Yu |
| 2025 | EMNLP | A Survey of RAG-Reasoning Systems in Large Language Models. | Yangning Li, Weizhi Zhang, Yuyao Yang, Wei-Chieh Huang, Yaozu Wu, Junyu Luo, Yuanchen Bei, Henry Peng Zou, Xiao Luo, Yusheng Zhao, Chunkit Chan, Yankai Chen, Zhongfen Deng, Yinghui Li, Hai-Tao Zheng, Dongyuan Li, Renhe Jiang, Ming Zhang, Yangqiu Song, Philip S. Yu |
| 2025 | EMNLP | RAISE: Reinforced Adaptive Instruction Selection For Large Language Models. | Qingsong Lv, Yangning Li, Zihua Lan, Zishan Xu, Jiwei Tang, Tingwei Lu, Yinghui Li, Wenhao Jiang, Hong-Gee Kim, Hai-Tao Zheng, Philip S. Yu |
| 2025 | EMNLP | MKT: A Multi-Stage Knowledge Transfer Framework to Mitigate Catastrophic Forgetting in Multi-Domain Chinese Spelling Correction. | Peng Xing, Yinghui Li, Shirong Ma, Xinnian Liang, Haojing Huang, Yangning Li, Shu-Yu Guo, Hai-Tao Zheng, Wenhao Jiang, Ying Shen |
| 2025 | EMNLP | Position: LLMs Can be Good Tutors in English Education. | Jingheng Ye, Shen Wang, Deqing Zou, Yibo Yan, Kun Wang, Hai-Tao Zheng, Ruitong Liu, Zenglin Xu, Irwin King, Philip S. Yu, Qingsong Wen |
| 2025 | ICASSP | Lunar Tracking: A New Benchmark For Nighttime Tiny Object Tracking. | Mohammed Leo, Ding Zhang, Hai-Tao Zheng, Haiye Lin |
| 2025 | ICASSP | Multi-Head Auto-Correlation Attention Networks for Session-based Social Recommendation. | Mengying Lu, Xingyu Lu, Hai-Tao Zheng, Zhao Wei, Yong Xu, Bingxu An |
| 2025 | ICASSP | Exploring the Implicit Semantic Ability of Multimodal Large Language Models: A Pilot Study on Entity Set Expansion. | Hebin Wang, Yangning Li, Yinghui Li, Hai-Tao Zheng, Wenhao Jiang, Hong-Gee Kim |
| 2025 | ICASSP | Efficient Visual Storytelling through Descriptive Words Distillation and Dynamic Decoding. | Zixuan Xiong, Hai Lin, Lichen Bai, Yinghui Li, Hai-Tao Zheng, Hong-Gee Kim |
| 2025 | ICASSP | Loss-Aware Curriculum Learning for Chinese Grammatical Error Correction. | Ding Zhang, Yangning Li, Lichen Bai, Hao Zhang, Yinghui Li, Haiye Lin, Hai-Tao Zheng, Xin Su, Zifei Shan |
| 2025 | ICLR | Refine Knowledge of Large Language Models via Adaptive Contrastive Learning. | Yinghui Li, Haojing Huang, Jiayi Kuang, Yangning Li, Shu-Yu Guo, Chao Qu, Xiaoyu Tan, Hai-Tao Zheng, Ying Shen, Philip S. Yu |
| 2025 | ICLR | Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent. | Yangning Li, Yinghui Li, Xinyu Wang, Yong Jiang, Zhen Zhang, Xinran Zheng, Hui Wang, Hai-Tao Zheng, Fei Huang, Jingren Zhou, Philip S. Yu |
| 2025 | ICLR | Youku Dense Caption: A Large-scale Chinese Video Dense Caption Dataset and Benchmarks. | Zixuan Xiong, Guangwei Xu, Wenkai Zhang, Yuan Miao, Xuan Wu, LinHai, Ruijie Guo, Hai-Tao Zheng |
| 2025 | ICML | One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs. | Yinghui Li, Jiayi Kuang, Haojing Huang, Zhikun Xu, Xinnian Liang, Yi Yu, Wenlian Lu, Yangning Li, Xiaoyu Tan, Chao Qu, Ying Shen, Hai-Tao Zheng, Philip S. Yu |
| 2025 | IJCNN | SmellDetector: Multi-Label Code Smell Detection and Refactoring with Large Language Models. | Wenjie Liang, Jiale Wang, Hai-Tao Zheng, Yinghui Li, Haiye Lin, Hong-Gee Kim, Bingxu An, Zhao Wei, Yong Xu |
| 2025 | IJCNN | Repository-Level Code Smell Detection Based on Multi-Scale Code Information and LLM Assistance. | Wenjie Liang, Yongqin Zeng, Hai-Tao Zheng, Jiale Wang, Haiye Lin, Hong-Gee Kim, Bingxu An, Zhao Wei, Yong Xu |
| 2025 | IJCNN | Eliminating Retrieval Knowledge Conflicts: Cross-Validation Re-ranking with Large Language Models. | Qirui Wu, Lin Hai, Hai-Tao Zheng, Ruobing Xie, Saiyong Yang, Xingwu Sun, Zhanhui Kang, Hong-Gee Kim |
| 2025 | KDD | ROMA: Recommendation-Oriented Language Model Adaptation Using Multi-Modal Multi-Domain Item Sequences. | Xingyu Lu, Jinpeng Wang, Jieming Zhu, Zhicheng Zhang, Deqing Zou, Hai-Tao Zheng, Shu-Tao Xia, Rui Zhang |
| 2025 | KDD | VLM as Policy: Common-Law Content Moderation Framework for Short Video Platform. | Xingyu Lu, Tianke Zhang, Chang Meng, Xiaobei Wang, Jinpeng Wang, Yifan Zhang, Shisong Tang, Changyi Liu, Haojie Ding, Kaiyu Jiang, Kaiyu Tang, Bin Wen, Hai-Tao Zheng, Fan Yang, Tingting Gao, Di Zhang, Kun Gai |
| 2025 | NAACL | Perception Compressor: A Training-Free Prompt Compression Framework in Long Context Scenarios. | Jiwei Tang, Jin Xu, Tingwei Lu, Zhicheng Zhang, Yiming Zhao, Lin Hai, Hai-Tao Zheng |
| 2024 | AAAI | MESED: A Multi-Modal Entity Set Expansion Dataset with Fine-Grained Semantic Classes and Hard Negative Entities. | Yangning Li, Tingwei Lu, Hai-Tao Zheng, Yinghui Li, Shulin Huang, Tianyu Yu, Jun Yuan, Rui Zhang |
| 2024 | AAAI | SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding. | Tianyu Yu, Chengyue Jiang, Chao Lou, Shen Huang, Xiaobin Wang, Wei Liu, Jiong Cai, Yangning Li, Yinghui Li, Kewei Tu, Hai-Tao Zheng, Ningyu Zhang, Pengjun Xie, Fei Huang, Yong Jiang |
| 2024 | ACL | Towards Real-World Writing Assistance: A Chinese Character Checking Benchmark with Faked and Misspelled Characters. | Yinghui Li, Zishan Xu, Shaoshen Chen, Haojing Huang, Yangning Li, Shirong Ma, Yong Jiang, Zhongli Li, Qingyu Zhou, Hai-Tao Zheng, Ying Shen |
| 2024 | CCS | Understanding Implosion in Text-to-Image Generative Models. | Wenxin Ding, Cathy Yuanchen Li, Shawn Shan, Ben Y. Zhao, Hai-Tao Zheng |
| 2024 | CIKM | Empowering Private Tutoring by Chaining Large Language Models. | Yulin Chen, Ning Ding, Hai-Tao Zheng, Zhiyuan Liu, Maosong Sun, Bowen Zhou |
| 2024 | CIKM | UniEmbedding: Learning Universal Multi-Modal Multi-Domain Item Embeddings via User-View Contrastive Learning. | Boqi Dai, Zhaocheng Du, Jieming Zhu, Jintao Xu, Deqing Zou, Quanyu Dai, Zhenhua Dong, Rui Zhang, Hai-Tao Zheng |
| 2024 | CIKM | From Retrieval to Generation: Efficient and Effective Entity Set Expansion. | Shulin Huang, Shirong Ma, Yangning Li, Yinghui Li, Hai-Tao Zheng |
| 2024 | COLING | Depth Aware Hierarchical Replay Continual Learning for Knowledge Based Question Answering. | Zhixiong Cao, Hai-Tao Zheng, Yangning Li, Jin Xu, Rongsheng Li, Hong-Gee Kim |
| 2024 | CVPR | RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-Grained Correctional Human Feedback. | Tianyu Yu, Yuan Yao, Haoye Zhang, Taiwen He, Yifeng Han, Ganqu Cui, Jinyi Hu, Zhiyuan Liu, Hai-Tao Zheng, Maosong Sun |
| 2024 | EMNLP | MoleculeQA: A Dataset to Evaluate Factual Accuracy in Molecular Comprehension. | Xingyu Lu, He Cao, Zijing Liu, Shengyuan Bai, Leqing Chen, Yuan Yao, Hai-Tao Zheng, Yu Li |
| 2024 | EMNLP | HyperLoRA: Efficient Cross-task Generalization via Constrained Low-Rank Adapters Generation. | Chuancheng Lv, Lei Li, Shitou Zhang, Gang Chen, Fanchao Qi, Ningyu Zhang, Hai-Tao Zheng |
| 2024 | HCI | Make NPC More Realistic: Design and Practice of a Hybrid Stealth Game NPC AI Framework Based on OODA Theory. | Zhiyue Lin, Zetao Zhang, Xing Sun, Hai-Tao Zheng |
| 2024 | ICASSP | Enhancing Multi-Task Models For Recommendation with Tensor Trace Norm. | Boqi Dai, Kai Ouyang, Jun Yuan, Miaoxin Chen, Xingyu Lu, Weiwen Liu, Rui Zhang, Hai-Tao Zheng |
| 2024 | ICASSP | An Anchor Learning Approach for Citation Field Learning. | Zilin Yuan, Borun Chen, Yimeng Dai, Yinghui Li, Hai-Tao Zheng, Rui Zhang |
| 2024 | IJCNN | Retrieval-Augmented Meta Learning for Low-Resource Text Classification. | Rongsheng Li, Yangning Li, Yinghui Li, Chaiyut Luoyiching, Nannan Zhou, Hanjing Su, Hai-Tao Zheng |
| 2024 | IJCNN | Relation Knowledge Distillation Based on Prompt Learning for Generalized Few-Shot Intent Detection. | Chaiyut Luoyiching, Yangning Li, Yinghui Li, Rongsheng Li, Hai-Tao Zheng, Nannan Zhou, Hanjing Su |
| 2023 | AAAI | Learning Semantic Alignment with Global Modality Reconstruction for Video-Language Pre-training towards Retrieval. | Mingchao Li, Xiaoming Shi, Haitao Leng, Wei Zhou, Hai-Tao Zheng, Kuncai Zhang |
| 2023 | AAAI | Visually Grounded Commonsense Knowledge Acquisition. | Yuan Yao, Tianyu Yu, Ao Zhang, Mengdi Li, Ruobing Xie, Cornelius Weber, Zhiyuan Liu, Hai-Tao Zheng, Stefan Wermter, Tat-Seng Chua, Maosong Sun |
| 2023 | CIKM | Segment Augmentation and Prediction Consistency Neural Network for Multi-label Unknown Intent Detection. | Miaoxin Chen, Cao Liu, Boqi Dai, Hai-Tao Zheng, Ting Song, Jiansong Chen, Guanglu Wan, Rui Xie |
| 2023 | ECAI | Rethinking Temporal Information in Session-Based Recommendation: A Position-Agnostic Approach. | Xianghong Xu, Kai Ouyang, Hai-Tao Zheng, Wenqiang Liu |
| 2023 | ECAI | Enhancing Text Generation with Cooperative Training. | Hao Wang, Zhongshen Zeng, Wei Wang, Hai-Tao Zheng, Jiaxing Zhang |
| 2023 | EMNLP | A Frustratingly Easy Plug-and-Play Detection-and-Reasoning Module for Chinese Spelling Check. | Haojing Huang, Jingheng Ye, Qingyu Zhou, Yinghui Li, Yangning Li, Feng Zhou, Hai-Tao Zheng |
| 2023 | EMNLP | MixEdit: Revisiting Data Augmentation and Beyond for Grammatical Error Correction. | Jingheng Ye, Yinghui Li, Yangning Li, Hai-Tao Zheng |
| 2023 | EMNLP | CLEME: Debiasing Multi-reference Evaluation for Grammatical Error Correction. | Jingheng Ye, Yinghui Li, Qingyu Zhou, Yangning Li, Shirong Ma, Hai-Tao Zheng, Ying Shen |
| 2023 | ICANN | K-DLM: A Domain-Adaptive Language Model Pre-Training Framework with Knowledge Graph. | Jiaxin Zou, Zuotong Xie, Junhua Chen, Jiawei Hou, Qiang Yan, Hai-Tao Zheng |
| 2023 | ICASSP | Vision, Deduction and Alignment: An Empirical Study on Multi-Modal Knowledge Graph Alignment. | Yangning Li, Jiaoyan Chen, Yinghui Li, Yuejia Xiang, Xi Chen, Hai-Tao Zheng |
| 2023 | ICASSP | A Simple Yet Effective Approach to Structured Knowledge Distillation. | Wenye Lin, Yangming Li, Lemao Liu, Shuming Shi, Hai-Tao Zheng |
| 2023 | ICASSP | Guide and Select: A Transformer-Based Multimodal Fusion Method for Points of Interest Description Generation. | Hanqing Liu, Wei Wang, Niu Hu, Hai-Tao Zheng, Rui Xie, Wei Wu, Yang Bai |
| 2023 | ICASSP | High-Level Feature Fusion Network for Session-Based Social Recommendation. | Liuyin Wang, Mingchao Li, Hai-Tao Zheng |
| 2023 | ICASSP | Rethinking Rule-Based Approaches in Session-Based Recommendation. | Liuyin Wang, Mingchao Li, Hai-Tao Zheng |
| 2023 | ICASSP | Contextual Similarity is More Valuable Than Character Similarity: An Empirical Study for Chinese Spell Checking. | Ding Zhang, Yinghui Li, Qingyu Zhou, Shirong Ma, Yangning Li, Yunbo Cao, Hai-Tao Zheng |
| 2023 | IJCNN | A Simple Semantics and Topic-aware Method to Enhance Abstractive Summarization. | Jiangnan Du, Xuan Fu, Jianfeng Li, Cuiqin Hou, Qiyu Zhou, Hai-Tao Zheng |
| 2023 | IJCNN | Modeling Global-Local Subtopic Distribution with Hypergraph to Diversify Search Results. | Kai Ouyang, Xianghong Xu, Zuotong Xie, Hai-Tao Zheng, Yanxiong Lu |
| 2023 | IJCNN | Self-supervised Bidirectional Prompt Tuning for Entity-enhanced Pre-trained Language Model. | Jiaxin Zou, Xianghong Xu, Jiawei Hou, Qiang Yan, Hai-Tao Zheng |
| 2023 | SIGIR | Mining Interest Trends and Adaptively Assigning Sample Weight for Session-based Recommendation. | Kai Ouyang, Xianghong Xu, Miaoxin Chen, Zuotong Xie, Hai-Tao Zheng, Shuangyong Song, Yu Zhao |
| 2023 | SIGIR | MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCs. | Jifan Yu, Mengying Lu, Qingyang Zhong, Zijun Yao, Shangqing Tu, Zhengshan Liao, Xiaoya Li, Manli Li, Lei Hou, Hai-Tao Zheng, Juanzi Li, Jie Tang |
| 2023 | SEKE | KLAPrompt: Infusing Semantic Knowledge into Pre-trained Language Models by Long-answer Prompt Learning. | Zuotong Xie, Kai Ouyang, Xiangjin Xie, Hai-Tao Zheng, Wenqiang Liu, Dongxiao Huang, Bei Wu |
| 2022 | ACL | The Past Mistake is the Future Wisdom: Error-driven Contrastive Probability Optimization for Chinese Spell Checking. | Yinghui Li, Qingyu Zhou, Yangning Li, Zhongli Li, Ruiyang Liu, Rongyi Sun, Zizhen Wang, Chao Li, Yunbo Cao, Hai-Tao Zheng |
| 2022 | ACL | Sememe Prediction for BabelNet Synsets using Multilingual and Multimodal Information. | Fanchao Qi, Chuancheng Lv, Zhiyuan Liu, Xiaojun Meng, Maosong Sun, Hai-Tao Zheng |
| 2022 | CIKM | Modeling Latent Autocorrelation for Session-based Recommendation. | Xianghong Xu, Kai Ouyang, Liuyin Wang, Jiaxin Zou, Yanxiong Lu, Hai-Tao Zheng, Hong-Gee Kim |
| 2022 | COLING | CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations. | Borun Chen, Hongyin Tang, Jiahao Bu, Kai Zhang, Jingang Wang, Qifan Wang, Hai-Tao Zheng, Wei Wu, Liqian Yu |
| 2022 | DASFAA | Diversify Search Results Through Graph Attentive Document Interaction. | Xianghong Xu, Kai Ouyang, Yin Zheng, Yanxiong Lu, Hai-Tao Zheng, Hong-Gee Kim |
| 2022 | ICANN | Context Reasoning Attention Network: Generating Plausible Distractors for Multi-choice Questions. | Mingchao Li, Liuyin Wang, Haozhuang Liu, Wei Wang, Hai-Tao Zheng |
| 2022 | ICASSP | Retrieval Enhanced Segment Generation Neural Network for Task-Oriented Dialogue Systems. | Miaoxin Chen, Zibo Lin, Rongyi Sun, Kai Ouyang, Hai-Tao Zheng, Rui Xie, Wei Wu |
| 2022 | ICASSP | A Non-Hierarchical Attention Network with Modality Dropout for Textual Response Generation in Multimodal Dialogue Systems. | Rongyi Sun, Borun Chen, Qingyu Zhou, Yinghui Li, Yunbo Cao, Hai-Tao Zheng |
| 2022 | ICDE | Self-Supervised Dual-Channel Attentive Network for Session-based Social Recommendation. | Liuyin Wang, Xianghong Xu, Kai Ouyang, Huanzhong Duan, Yanxiong Lu, Hai-Tao Zheng |
| 2022 | ICDM | MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation. | Xiangjin Xie, Yuxin Chen, Ruipeng Wang, Xianli Zhang, Shilei Cao, Kai Ouyang, Zihan Zhang, Hai-Tao Zheng, Buyue Qian, Hansen Zheng, Bo Hu, Chengxiang Zhuo, Zang Li |
| 2022 | IJCNN | LordBERT: Embedding Long Text by Segment Ordering with BERT. | Borun Chen, Rongyi Sun, Yimeng Dai, Hai-Tao Zheng, Rui Zhang |
| 2022 | IJCNN | GiTS: Gist-driven Text Segmentation. | Yifeng Ding, Yimeng Dai, Hai-Tao Zheng, Rui Zhang |
| 2022 | IJCNN | Tree-structured Auxiliary Online Knowledge Distillation. | Wenye Lin, Yangning Li, Yifeng Ding, Hai-Tao Zheng |
| 2022 | IJCNN | Learning Purified Feature Representations from Task-irrelevant Labels. | Yinghui Li, Chen Wang, Yangning Li, Hai-Tao Zheng, Ying Shen |
| 2022 | IJCNN | AMR-to-Text Generation with Graph Structure Reconstruction and Coverage Mechanism. | Junxin Li, Wei Wang, Hai-Tao Zheng, Jun Gao, Rui Xie, Wei Wu |
| 2022 | SIGIR | Contrastive Learning with Hard Negative Entities for Entity Set Expansion. | Yinghui Li, Yangning Li, Yuxin He, Tianyu Yu, Ying Shen, Hai-Tao Zheng |
| 2021 | AAAI | Generating Diversified Comments via Reader-Aware Topic Modeling and Saliency Detection. | Wei Wang, Piji Li, Hai-Tao Zheng |
| 2021 | AAAI | Learning to Augment for Data-scarce Domain BERT Knowledge Distillation. | Lingyun Feng, Minghui Qiu, Yaliang Li, Hai-Tao Zheng, Ying Shen |
| 2021 | ECIR | Consistency and Coherency Enhanced Story Generation. | Wei Wang, Piji Li, Hai-Tao Zheng |
| 2021 | ICASSP | Multi-Entity Collaborative Relation Extraction. | Haozhuang Liu, Ziran Li, Dongming Sheng, Hai-Tao Zheng, Ying Shen |
| 2021 | IJCNN | Bilingual Self-Attention Network: Generating Headlines for Online Linguistic Questions. | Mingchao Li, Haozhuang Liu, Yang Wang, Hai-Tao Zheng |
| 2021 | IJCNN | Balance the Labels: Hierarchical Label Structured Network for Dialogue Act Recognition. | Dong Wang, Ziran Li, Dongming Sheng, Hai-Tao Zheng, Ying Shen |
| 2021 | IJCNN | Question Generation via Multi-stage Answers Editing Network. | Liuyin Wang, Dongming Sheng, Hai-Tao Zheng |
| 2020 | AAAI | Knowledge and Cross-Pair Pattern Guided Semantic Matching for Question Answering. | Zihan Xu, Hai-Tao Zheng, Shaopeng Zhai, Dong Wang |
| 2020 | ICASSP | Self-Attention and Retrieval Enhanced Neural Networks for Essay Generation. | Wei Wang, Hai-Tao Zheng, Zibo Lin |
| 2020 | ICASSP | Knowledge Enhanced Latent Relevance Mining for Question Answering. | Dong Wang, Ying Shen, Hai-Tao Zheng |
| 2020 | IJCAI | Infobox-to-text Generation with Tree-like Planning based Attention Network. | Yang Bai, Ziran Li, Ning Ding, Ying Shen, Hai-Tao Zheng |
| 2020 | IJCAI | Triple-to-Text Generation with an Anchor-to-Prototype Framework. | Ziran Li, Zibo Lin, Ning Ding, Hai-Tao Zheng, Ying Shen |
| 2019 | CIKM | Knowledge-aware Textual Entailment with Graph Attention Network. | Daoyuan Chen, Yaliang Li, Min Yang, Hai-Tao Zheng, Ying Shen |
| 2019 | IJCNN | Utilizing Generative Adversarial Networks for Recommendation based on Ratings and Reviews. | Wang Chen, Hai-Tao Zheng, Yang Wang, Wei Wang, Rui Zhang |
| 2019 | IJCNN | CARL: Aggregated Search with Context-Aware Module Embedding Learning. | Xinting Huang, Jianzhong Qi, Yu Sun, Rui Zhang, Hai-Tao Zheng |
| 2019 | IJCNN | LambdaGAN: Generative Adversarial Nets for Recommendation Task with Lambda Strategy. | Yang Wang, Hai-Tao Zheng, Wang Chen, Rui Zhang |
| 2019 | PAKDD | Topic Attentional Neural Network for Abstractive Document Summarization. | Hao Liu, Hai-Tao Zheng, Wei Wang |
| 2019 | PAKDD | User Preference-Aware Review Generation. | Wei Wang, Hai-Tao Zheng, Hao Liu |
| 2019 | SIGIR | Answer-enhanced Path-aware Relation Detection over Knowledge Base. | Daoyuan Chen, Min Yang, Hai-Tao Zheng, Yaliang Li, Ying Shen |
| 2018 | ECCV | ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design. | Ningning Ma, Xiangyu Zhang, Hai-Tao Zheng, Jian Sun |
| 2018 | ICDM | Enhancing Question Understanding and Representation for Knowledge Base Relation Detection. | Zihan Xu, Hai-Tao Zheng, Zuoyou Fu, Wei Wang |
| 2017 | APWEB | An Ontology-Based Latent Semantic Indexing Approach Using Long Short-Term Memory Networks. | Ningning Ma, Hai-Tao Zheng, Xi Xiao |
| 2017 | APWEB | Boost Clickbait Detection Based on User Behavior Analysis. | Hai-Tao Zheng, Xin Yao, Yong Jiang, Shu-Tao Xia, Xi Xiao |
| 2017 | ICONIP | Extracting Deep Semantic Information for Intelligent Recommendation. | Wang Chen, Hai-Tao Zheng, Xiao-Xi Mao |
| 2016 | APWEB | Online Streaming Feature Selection Using Sampling Technique and Correlations Between Features. | Hai-Tao Zheng, Haiyang Zhang |
| 2016 | PAKDD | Query-Focused Multi-document Summarization Based on Concept Importance. | Hai-Tao Zheng, Ji-Min Guo, Yong Jiang, Shu-Tao Xia |
| 2015 | APWEB | PDMA: A Probabilistic Framework for Diversifying Recommendation Lists. | Yang-Hui Yan, Ying-Min Zhou, Hai-Tao Zheng |
| 2015 | APWEB | Boosting Explicit Semantic Analysis by Clustering Paragraph Vectors of Wikipedia Articles. | Hai-Tao Zheng, Wenzhen Wu |
| 2015 | APWEB | Graph-Based Hybrid Recommendation Using Random Walk and Topic Modeling. | Hai-Tao Zheng, Yang-Hui Yan, Ying-Min Zhou |
| 2015 | APWEB | RDQS: A Relevant and Diverse Query Suggestion Generation Framework. | Hai-Tao Zheng, Yichi Zhang |
| 2015 | APWEB | Online Feature Selection Based on Passive-Aggressive Algorithm with Retaining Features. | Hai-Tao Zheng, Haiyang Zhang |
| 2015 | ICONIP | Exploiting Latent Relations Between Users and Items for Collaborative Filtering. | Ying-Min Zhou, Binheng Song, Hai-Tao Zheng |
| 2015 | KSEM | iCHUM: An Efficient Algorithm for High Utility Mining in Incremental Databases. | Hai-Tao Zheng, Zhuo Li |
| 2014 | APWEB | Graph-Based Summarization without Redundancy. | Hai-Tao Zheng, Shao-Zhou Bai |
| 2014 | APWEB | A Frequent Term-Based Multiple Clustering Approach for Text Documents. | Hai-Tao Zheng, Hao Chen, Shu-Qin Gong |
| 2014 | ICONIP | Multi-document Summarization Based on Sentence Clustering. | Hai-Tao Zheng, Shu-Qin Gong, Hao Chen, Yong Jiang, Shu-Tao Xia |
| 2014 | ICONIP | Exploiting Level-Wise Category Links for Semantic Relatedness Computing. | Hai-Tao Zheng, Wenzhen Wu, Yong Jiang, Shu-Tao Xia |
| 2014 | ICONIP | An Ontology-Based Approach to Query Suggestion Diversification. | Hai-Tao Zheng, Jie Zhao, Yichi Zhang, Yong Jiang, Shu-Tao Xia |
| 2013 | ADMA | An Adaptive Collaborative Filtering Algorithm Based on Multiple Features. | Yanqiu Zhang, Hai-Tao Zheng, Lanshan Zhang |
| 2013 | ADMA | Exploiting Multiple Features for Learning to Rank in Expert Finding. | Hai-Tao Zheng, Qi Li, Yong Jiang, Shu-Tao Xia, Lanshan Zhang |
| 2013 | ISCC | A traffic localization strategy for peer-to-peer live streaming. | Chao Dai, Yong Jiang, Shu-Tao Xia, Hai-Tao Zheng, Laizhong Cui |
| 2013 | ISCC | An optimal segment replication strategy in P2P-VoD systems. | Hongke Hu, Yong Jiang, Laizhong Cui, Shu-Tao Xia, Hai-Tao Zheng |
| 2013 | WCNC | A constant approximation for multicast scheduling under physical interference model. | Jin-Yi Zhou, Shu-Tao Xia, Yong Jiang, Hai-Tao Zheng |
| 2012 | ADMA | Personalized Diversity Search Based on User's Social Relationships. | Ming Li, Juanzi Li, Lei Hou, Hai-Tao Zheng |
| 2011 | ICONIP | An Adaptive Approach to Chinese Semantic Advertising. | Jin-Yuan Chen, Hai-Tao Zheng, Yong Jiang, Shu-Tao Xia |
| 2011 | ICONIP | PatentRank: An Ontology-based Approach to Patent Search. | Ming Li, Hai-Tao Zheng, Yong Jiang, Shu-Tao Xia |
| 2011 | ICONIP | A Lightweight Ontology Learning Method for Chinese Government Documents. | Xing Zhao, Hai-Tao Zheng, Yong Jiang, Shu-Tao Xia |