Shen, Ying

35 publications

ICLR 2026 Process-Level Trajectory Evaluation for Environment Configuration in Software Engineering Agents Jiayi Kuang, Yinghui Li, Xin Zhang, Yangning Li, Di Yin, Xing Sun, Ying Shen, Philip S. Yu

NeurIPS 2025 Atomic Thinking of LLMs: Decoupling and Exploring Mathematical Reasoning Abilities Jiayi Kuang, Haojing Huang, Yinghui Li, Xinnian Liang, Zhikun Xu, Yangning Li, Xiaoyu Tan, Chao Qu, Meishan Zhang, Ying Shen, Philip S. Yu

NeurIPS 2025 CausalVTG: Towards Robust Video Temporal Grounding via Causal Inference Qiyi Wang, Senda Chen, Ying Shen

NeurIPS 2025 Diversity as a Reward: Fine-Tuning LLMs on a Mixture of Domain-Undetermined Data Zhenqing Ling, Daoyuan Chen, Liuyi Yao, Qianli Shen, Yaliang Li, Ying Shen

WACV 2025 ELBA: Learning by Asking for Embodied Visual Navigation and Task Completion Ying Shen, Daniel Bis, Cynthia Lu, Ismini Lourentzou

AAAI 2025 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

CVPR 2025 Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models Qirui Jiao, Daoyuan Chen, Yilun Huang, Bolin Ding, Yaliang Li, Ying Shen

NeurIPS 2025 MindGYM: What Matters in Question Synthesis for Thinking-Centric Fine-Tuning? Zhe Xu, Daoyuan Chen, Zhenqing Ling, Yaliang Li, Ying Shen

ICLR 2025 Modality-Specialized Synergizers for Interleaved Vision-Language Generalists Zhiyang Xu, Minqian Liu, Ying Shen, Joy Rimchala, Jiaxin Zhang, Qifan Wang, Yu Cheng, Lifu Huang

ICML 2025 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

ICLR 2025 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

AAAI 2025 Representing Sounds as Neural Amplitude Fields: A Benchmark of Coordinate-MLPs and a Fourier Kolmogorov-Arnold Framework Linfei Li, Lin Zhang, Zhong Wang, Fengyi Zhang, Zelin Li, Ying Shen

ICLR 2025 SPARTUN3D: Situated Spatial Understanding of 3D World in Large Language Model Yue Zhang, Zhiyang Xu, Ying Shen, Parisa Kordjamshidi, Lifu Huang

AAAI 2025 Towards Audio-Visual Navigation in Noisy Environments: A Large-Scale Benchmark Dataset and an Architecture Considering Multiple Sound-Sources Zhanbo Shi, Lin Zhang, Linfei Li, Ying Shen

AAAI 2025 Zero-Shot Image Captioning with Multi-Type Entity Representations Delong Zeng, Ying Shen, Man Lin, Zihao Yi, Jiarui Ouyang

NeurIPS 2024 Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling Jiatao Gu, Ying Shen, Shuangfei Zhai, Yizhe Zhang, Navdeep Jaitly, Josh Susskind

ICMLW 2024 Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling Jiatao Gu, Ying Shen, Shuangfei Zhai, Yizhe Zhang, Navdeep Jaitly, Joshua M. Susskind

AAAI 2024 MULTISCRIPT: Multimodal Script Learning for Supporting Open Domain Everyday Tasks Jingyuan Qi, Minqian Liu, Ying Shen, Zhiyang Xu, Lifu Huang

ICMLW 2024 Many-to-Many Image Generation with Auto-Regressive Diffusion Models Ying Shen, Yizhe Zhang, Shuangfei Zhai, Lifu Huang, Joshua M. Susskind, Jiatao Gu

AAAI 2021 Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning Chunpu Xu, Min Yang, Chengming Li, Ying Shen, Xiang Ao, Ruifeng Xu

AAAI 2021 Learning to Augment for Data-Scarce Domain BERT Knowledge Distillation Lingyun Feng, Minghui Qiu, Yaliang Li, Hai-Tao Zheng, Ying Shen

ICLR 2021 Prototypical Representation Learning for Relation Extraction Ning Ding, Xiaobin Wang, Yao Fu, Guangwei Xu, Rui Wang, Pengjun Xie, Ying Shen, Fei Huang, Hai-Tao Zheng, Rui Zhang

AAAI 2020 Attentive User-Engaged Adversarial Neural Network for Community Question Answering Yuexiang Xie, Ying Shen, Yaliang Li, Min Yang, Kai Lei

AAAI 2020 Be Relevant, Non-Redundant, and Timely: Deep Reinforcement Learning for Real-Time Event Summarization Min Yang, Chengming Li, Fei Sun, Zhou Zhao, Ying Shen, Chenglin Wu

IJCAI 2020 Infobox-to-Text Generation with Tree-like Planning Based Attention Network Yang Bai, Ziran Li, Ning Ding, Ying Shen, Hai-Tao Zheng

AAAI 2020 Integrating Linguistic Knowledge to Sentence Paraphrase Generation Zibo Lin, Ziran Li, Ning Ding, Haitao Zheng, Ying Shen, Wei Wang, Cong-Zhi Zhao

AAAI 2020 Interactive Dual Generative Adversarial Networks for Image Captioning Junhao Liu, Kai Wang, Chunpu Xu, Zhou Zhao, Ruifeng Xu, Ying Shen, Min Yang

AAAI 2020 Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering Yang Deng, Wai Lam, Yuexiang Xie, Daoyuan Chen, Yaliang Li, Min Yang, Ying Shen

IJCAI 2020 Triple-to-Text Generation with an Anchor-to-Prototype Framework Ziran Li, Zibo Lin, Ning Ding, Hai-Tao Zheng, Ying Shen

AAAI 2019 A Multi-Task Learning Approach for Answer Selection: A Study and a Chinese Law Dataset Wenyu Du, Baocheng Li, Min Yang, Qiang Qu, Ying Shen

AAAI 2019 Exploring Human-like Reading Strategy for Abstractive Text Summarization Min Yang, Qiang Qu, Wenting Tu, Ying Shen, Zhou Zhao, Xiaojun Chen

IJCAI 2019 Knowledge-Enhanced Hierarchical Attention for Community Question Answering with Multi-Task and Adaptive Learning Min Yang, Lei Chen, Xiaojun Chen, Qingyao Wu, Wei Zhou, Ying Shen

AAAI 2019 Learning Document Embeddings with Crossword Prediction Junyu Luo, Min Yang, Ying Shen, Qiang Qu, Haixia Chai

AAAI 2019 Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Nan Du, Wei Fan, Kai Lei, Ying Shen

AAAI 2019 Words Can Shift: Dynamically Adjusting Word Representations Using Nonverbal Behaviors Yansen Wang, Ying Shen, Zhun Liu, Paul Pu Liang, Amir Zadeh, Louis-Philippe Morency