Hui Chen

According to our database, Hui Chen authored at least 80 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

FastOCR: Dynamic Visual Fixation via KV Cache Pruning for Efficient Document Parsing.

Zihan Tang, Leqi Shen, Hui Chen, Ao Wang, Ben Wan, Yan Feng, Ke Zhang, Sicheng Zhao, Tongxuan Liu, Guiguang Ding

CoRR, May, 2026

CAIT: Triple-Win Compression Toward High Accuracy, Fast Inference, and Favorable Transferability for ViTs.

Ao Wang, Hui Chen, Zijia Lin, Sicheng Zhao, Jungong Han, Guiguang Ding

IEEE Trans. Pattern Anal. Mach. Intell., February, 2026

LLMI3D: MLLM-Based 3D Perception From a Single 2D Image.

Fan Yang, Sicheng Zhao, Yanhao Zhang, Hui Chen, Haonan Lu, Jungong Han, Guiguang Ding

IEEE Trans. Multim., 2026

2025

OOCO: Latency-disaggregated Architecture for Online-Offline Co-locate LLM Serving.

Siyu Wu, Zihan Tang, Yuting Zeng, Hui Chen, Guiguang Ding, Tongxuan Liu, Ke Zhang, Hailong Yang

CoRR, November, 2025

PruneHal: Reducing Hallucinations in Multi-modal Large Language Models through Adaptive KV Cache Pruning.

Fengyuan Sun, Hui Chen, Xinhao Xu, Dandan Zheng, Jingdong Chen, Jun Zhou, Jungong Han, Guiguang Ding

CoRR, October, 2025

xLLM Technical Report.

Tongxuan Liu, Tao Peng, Peijun Yang, Xiaoyang Zhao, Xiusheng Lu, Weizhe Huang, Zirui Liu, Xiaoyu Chen, Zhiwei Liang, Jun Xiong, Donghe Jin, Minchao Zhang, Jinrong Guo, Yingxu Deng, Xu Zhang, Xianzhe Dong, Siqi Wang, Siyu Wu, Yu Wu, Zihan Tang, Yuting Zeng, Yanshu Wang, Jinguang Liu, Meng Kang, Menxin Li, Yunlong Wang, Yiming Liu, Xiaolong Ma, Yifan Wang, Yichen Zhang, Jinrun Yin, Keyang Zheng, Jiawei Yin, Jun Zhang, Ziyue Wang, Xiaobo Lin, Liangyu Liu, Liwei Lan, Yang Liu, Chunhua Peng, Han Liu, Songcheng Ren, Xuezhu Wang, Yunheng Shen, Yi Wang, Guyue Liu, Hui Chen, Tong Yang, Hailong Yang, Jing Li, Guiguang Ding, Ke Zhang

CoRR, October, 2025

Neutralizing Token Aggregation via Information Augmentation for Efficient Test-Time Adaptation.

Yizhe Xiong, Zihan Zhou, Yiwen Liang, Hui Chen, Zijia Lin, Tianxiang Hao, Fan Zhang, Jungong Han, Guiguang Ding

CoRR, August, 2025

Cream of the Crop: Harvesting Rich, Scalable and Transferable Multi-Modal Data for Instruction Fine-Tuning.

Mengyao Lyu, Yan Li, Huasong Zhong, Wenhao Yang, Hui Chen, Jungong Han, Guiguang Ding, Zhenheng Yang

CoRR, March, 2025

YOLOE: Real-Time Seeing Anything.

Ao Wang, Lihao Liu, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding

CoRR, March, 2025

Finedeep: Mitigating Sparse Activation in Dense LLMs via Multi-Layer Fine-Grained Experts.

Leiyu Pan, Zhenpeng Su, Minxuan Lv, Yizhe Xiong, Xiangwen Zhang, Zijia Lin, Hui Chen, Jungong Han, Guiguang Ding, Cheng Luo, Di Zhang, Kun Gai, Deyi Xiong

CoRR, February, 2025

DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs.

Minxuan Lv, Zhenpeng Su, Leiyu Pan, Yizhe Xiong, Zijia Lin, Hui Chen, Wei Zhou, Jungong Han, Guiguang Ding, Cheng Luo, Di Zhang, Kun Gai, Songlin Hu

CoRR, February, 2025

UniAttn: Reducing Inference Costs via Softmax Unification for Post-Training LLMs.

Yizhe Xiong, Wei Huang, Xin Ye, Hui Chen, Zijia Lin, Haoran Lian, Zhenpeng Su, Jungong Han, Guiguang Ding

CoRR, February, 2025

Cross-Modality Prompts: Few-Shot Multi-Label Recognition With Single-Label Training.

Zixuan Ding, Zihan Zhou, Hui Chen, Tianxiang Hao, Yizhe Xiong, Sicheng Zhao, Qiang Zhang, Jungong Han

IEEE Trans. Multim., 2025

Source-Free Object Detection With Detection Transformer.

Huizai Yao, Sicheng Zhao, Shuo Lu, Hui Chen, Yangyang Li, Guoping Liu, Tengfei Xing, Chenggang Yan, Jianhua Tao, Guiguang Ding

IEEE Trans. Image Process., 2025

DAR-Prompt: Dynamic Regulation in Prompt Tuning for Multi-Label Zero-Shot Learning.

Yiwen Liang, Hui Chen, Zijia Lin, Pengzhang Liu, Jiaxing Wang, Guoxin Wang, Lin Li, Sicheng Zhao, Jungong Han, Guiguang Ding

IEEE Trans. Image Process., 2025

Multi-source multi-modal domain adaptation.

Sicheng Zhao, Jing Jiang, Wenbo Tang, Jiankun Zhu, Hui Chen, Pengfei Xu, Björn W. Schuller, Jianhua Tao, Hongxun Yao, Guiguang Ding

Inf. Fusion, 2025

AD²: Anomaly Detection During Training an Distillation-Based Anomaly Detection Model.

Kai Chen, Xiaowang Wang, Huiyue Yang, Hui Chen, Yuwang Wang, Sicheng Zhao, Guiguang Ding

Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

Mitigating Hallucinations in Multi-modal Large Language Models via Image Token Attention-Guided Decoding.

Xinhao Xu, Hui Chen, Mengyao Lyu, Sicheng Zhao, Yizhe Xiong, Zijia Lin, Jungong Han, Guiguang Ding

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

CartesianMoE: Boosting Knowledge Sharing among Experts via Cartesian Product Routing in Mixture-of-Experts.

Zhenpeng Su, Xing Wu, Zijia Lin, Yizhe Xiong, Minxuan Lv, Guangyuan Ma, Hui Chen, Songlin Hu, Guiguang Ding

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Advancing Reliable Test-Time Adaptation of Vision-Language Models under Visual Variations.

Yiwen Liang, Hui Chen, Yizhe Xiong, Zihan Zhou, Mengyao Lyu, Zijia Lin, Shuaicheng Niu, Sicheng Zhao, Jungong Han, Guiguang Ding

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Exploiting Position Information in Convolutional Kernels for Structural Re-parameterization.

Tianxiang Hao, Hui Chen, Guiguang Ding

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

YOLOE: Real-Time Seeing Anythi.

Ao Wang, Lihao Liu, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

LBPE: Long-token-first Tokenization to Improve Large Language Models.

Haoran Lian, Yizhe Xiong, Zijia Lin, Jianwei Niu, Shasha Mo, Hui Chen, Peng Liu, Guiguang Ding

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Temporal Scaling Law for Large Language Models.

Yizhe Xiong, Xiansheng Chen, Xin Ye, Hui Chen, Zijia Lin, Haoran Lian, Zhenpeng Su, Wei Huang, Jianwei Niu, Jungong Han, Guiguang Ding

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

AdaTP: Attention-Debiased Token Pruning for Video Large Language Models.

Fengyuan Sun, Leqi Shen, Hui Chen, Sicheng Zhao, Jungong Han, Guiguang Ding

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs.

Minxuan Lv, Zhenpeng Su, Leiyu Pan, Yizhe Xiong, Zijia Lin, Hui Chen, Wei Zhou, Jungong Han, Guiguang Ding, Wenwu Ou, Di Zhang, Kun Gai, Songlin Hu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Fast Quiet-STaR: Thinking Without Thought Tokens.

Wei Huang, Yizhe Xiong, Xin Ye, Zhijie Deng, Hui Chen, Zijia Lin, Guiguang Ding

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

LSNet: See Large, Focus Small.

Ao Wang, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Breaking the Stage Barrier: A Novel Single-Stage Approach to Long Context Extension for Large Language Models.

Haoran Lian, Junmin Chen, Wei Huang, Yizhe Xiong, Wenping Hu, Guiguang Ding, Hui Chen, Jianwei Niu, Zijia Lin, Fuzheng Zhang, Di Zhang

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Can Sequential Persuasion Strategies Referencing Specific Purposes Enhance the Persuasiveness of Online Requests? A Case Study.

Yizhi Wang, Yi Yang, Jiaqi Zhu, Hui Chen

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

Extending LLM Context Window with Adaptive Grouped Positional Encoding: A Training-Free Method.

Xinhao Xu, Jiaxin Li, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning.

Hui-Yue Yang, Hui Chen, Ao Wang, Kai Chen, Zijia Lin, Yongliang Tang, Pengcheng Gao, Yuming Quan, Jungong Han, Guiguang Ding

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Scaffold-BPE: Enhancing Byte Pair Encoding for Large Language Models with Simple and Effective Scaffold Token Removal.

Haoran Lian, Yizhe Xiong, Jianwei Niu, Shasha Mo, Zhenpeng Su, Zijia Lin, Hui Chen, Jungong Han, Guiguang Ding

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

YOLO-UniOW: Efficient Universal Open-World Object Detection.

Lihao Liu, Juexiao Feng, Hui Chen, Ao Wang, Lin Song, Jungong Han, Guiguang Ding

CoRR, 2024

[CLS] Token Tells Everything Needed for Training-free Efficient MLLMs.

Ao Wang, Fengyuan Sun, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding

CoRR, 2024

PrefixKV: Adaptive Prefix KV Cache is What Vision Instruction-Following Models Need for Efficient Generation.

Ao Wang, Hui Chen, Jianchao Tan, Kefeng Zhang, Xunliang Cai, Zijia Lin, Jungong Han, Guiguang Ding

CoRR, 2024

LLMI3D: Empowering LLM with 3D Perception from a Single 2D Image.

Fan Yang, Sicheng Zhao, Yanhao Zhang, Haoxiang Chen, Hui Chen, Wenbo Tang, Haonan Lu, Pengfei Xu, Zhenyu Yang, Jungong Han, Guiguang Ding

CoRR, 2024

MaskMoE: Boosting Token-Level Learning via Routing Mask in Mixture-of-Experts.

Zhenpeng Su, Zijia Lin, Xue Bai, Xing Wu, Yizhe Xiong, Haoran Lian, Guangyuan Ma, Hui Chen, Guiguang Ding, Wei Zhou, Songlin Hu

CoRR, 2024

Scaffold-BPE: Enhancing Byte Pair Encoding with Simple and Effective Scaffold Token Removal.

Haoran Lian, Yizhe Xiong, Jianwei Niu, Shasha Mo, Zhenpeng Su, Zijia Lin, Peng Liu, Hui Chen, Guiguang Ding

CoRR, 2024

Temporal Scaling Law for Large Language Models.

Yizhe Xiong, Xiansheng Chen, Xin Ye, Hui Chen, Zijia Lin, Haoran Lian, Jianwei Niu, Guiguang Ding

CoRR, 2024

YOLOv10: Real-Time End-to-End Object Detection.

Ao Wang, Hui Chen, Lihao Liu, Kai Chen, Zijia Lin, Jungong Han, Guiguang Ding

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

MiLe Loss: a New Loss for Mitigating the Bias of Learning Difficulties in Generative Language Models.

Zhenpeng Su, Zijia Lin, Bai Xue, Hui Chen, Guiguang Ding, Wei Zhou, Songlin Hu

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Multi-Label Learning with Block Diagonal Labels.

Leqi Shen, Sicheng Zhao, Yifeng Zhang, Hui Chen, Jundong Zhou, Pengzhang Liu, Yongjun Bao, Guiguang Ding

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

More is Better: Deep Domain Adaptation with Multiple Sources.

Sicheng Zhao, Hui Chen, Hu Huang, Pengfei Xu, Guiguang Ding

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

TaD: A Plug-and-Play Task-Aware Decoding Method to Better Adapt LLMs on Downstream Tasks.

Xinhao Xu, Hui Chen, Zijia Lin, Jungong Han, Lixing Gong, Guoxin Wang, Yongjun Bao, Guiguang Ding

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

A Simple Confidence-Supervised Model for High-Resolution Defect Recognition.

Hui-Yue Yang, Hui Chen, Fan Zhang, Xiang Tian, Luning Zhu, Guiguang Ding

Proceedings of the 8th International Conference on Robotics, Control and Automation, 2024

PYRA: Parallel Yielding Re-activation for Training-Inference Efficient Task Adaptation.

Yizhe Xiong, Hui Chen, Tianxiang Hao, Zijia Lin, Jungong Han, Yuesong Zhang, Guoxin Wang, Yongjun Bao, Guiguang Ding

Proceedings of the Computer Vision - ECCV 2024, 2024

Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual Persistence.

Mengyao Lyu, Tianxiang Hao, Xinhao Xu, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding

Proceedings of the Computer Vision - ECCV 2024, 2024

Quantized Prompt for Efficient Generalization of Vision-Language Models.

Tianxiang Hao, Xiaohan Ding, Juexiao Feng, Yuhong Yang, Hui Chen, Guiguang Ding

Proceedings of the Computer Vision - ECCV 2024, 2024

Context Enhancement with Reconstruction as Sequence for Unified Unsupervised Anomaly Detection.

Hui-Yue Yang, Hui Chen, Lihao Liu, Zijia Lin, Kai Chen, Liejun Wang, Jungong Han, Guiguang Ding

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Rep ViT: Revisiting Mobile CNN From ViT Perspective.

Ao Wang, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

One-dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications.

Mengyao Lyu, Yuhong Yang, Haiwen Hong, Hui Chen, Xuan Jin, Yuan He, Hui Xue, Jungong Han, Guiguang Ding

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Geometry-Guided Domain Generalization for Monocular 3D Object Detection.

Fan Yang, Hui Chen, Yuwei He, Sicheng Zhao, Chenghao Zhang, Kai Ni, Guiguang Ding

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

GPro3D: Deriving 3D BBox from ground plane in monocular 3D object detection.

Fan Yang, Xinhao Xu, Hui Chen, Yuchen Guo, Yuwei He, Kai Ni, Guiguang Ding

Neurocomputing, December, 2023

Re-parameterized Low-rank Prompt: Generalize a Vision-Language Model within 0.5K Parameters.

Tianxiang Hao, Mengyao Lyu, Hui Chen, Sicheng Zhao, Jungong Han, Guiguang Ding

CoRR, 2023

RepViT-SAM: Towards Real-Time Segmenting Anything.

Ao Wang, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding

CoRR, 2023

InfoEntropy Loss to Mitigate Bias of Learning Difficulties for Generative Language Models.

Zhenpeng Su, Xing Wu, Xue Bai, Zijia Lin, Hui Chen, Guiguang Ding, Wei Zhou, Songlin Hu

CoRR, 2023

CAIT: Triple-Win Compression towards High Accuracy, Fast Inference, and Favorable Transferability For ViTs.

Ao Wang, Hui Chen, Zijia Lin, Sicheng Zhao, Jungong Han, Guiguang Ding

CoRR, 2023

RepViT: Revisiting Mobile CNN From ViT Perspective.

Ao Wang, Hui Chen, Zijia Lin, Hengjun Pu, Guiguang Ding

CoRR, 2023

Consolidator: Mergeable Adapter with Grouped Connections for Visual Adaptation.

Tianxiang Hao, Hui Chen, Yuchen Guo, Guiguang Ding

CoRR, 2023

Hierarchical Prompt Learning Using CLIP for Multi-label Classification with Single Positive Labels.

Ao Wang, Hui Chen, Zijia Lin, Zixuan Ding, Pengzhang Liu, Yongjun Bao, Weipeng Yan, Guiguang Ding

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Consolidator: Mergable Adapter with Group Connections for Visual Adaptation.

Tianxiang Hao, Hui Chen, Yuchen Guo, Guiguang Ding

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Confidence-based Visual Dispersal for Few-shot Unsupervised Domain Adaptation.

Yizhe Xiong, Hui Chen, Zijia Lin, Sicheng Zhao, Guiguang Ding

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Box-Level Active Detection.

Mengyao Lyu, Jundong Zhou, Hui Chen, Yijie Huang, Dongdong Yu, Yaqian Li, Yandong Guo, Yuchen Guo, Liuyu Xiang, Guiguang Ding

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels.

Zixuan Ding, Ao Wang, Hui Chen, Qiang Zhang, Pengzhang Liu, Yongjun Bao, Weipeng Yan, Jungong Han

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Ground Plane Matters: Picking Up Ground Plane Prior in Monocular 3D Object Detection.

Fan Yang, Xinhao Xu, Hui Chen, Yuchen Guo, Jungong Han, Kai Ni, Guiguang Ding

CoRR, 2022

2021

Image Captioning with Memorized Knowledge.

Hui Chen, Guiguang Ding, Zijia Lin, Yuchen Guo, Caifeng Shan, Jungong Han

Cogn. Comput., 2021

2020

ACMNet: Adaptive Confidence Matching Network for Human Behavior Analysis via Cross-modal Retrieval.

Hui Chen, Guiguang Ding, Zijia Lin, Sicheng Zhao, Xiaopeng Gu, Wenyuan Xu, Jungong Han

ACM Trans. Multim. Comput. Commun. Appl., 2020

IMRAM: Iterative Matching With Recurrent Attention Memory for Cross-Modal Image-Text Retrieval.

Hui Chen, Guiguang Ding, Xudong Liu, Zijia Lin, Ji Liu, Jungong Han

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

A Consistent Address Allocation Algorithm Mitigating Address Conflict for Large-Scale LoRa-Enabled IoT Networks.

Xinyu Fan, Xiao Liang, Qiang Liu, Kun Yang, Hui Chen

Proceedings of the 23rd IEEE International Conference on Computational Science and Engineering, 2020

Enhanced Meta-Learning for Cross-Lingual Named Entity Recognition with Minimal Resources.

Qianhui Wu, Zijia Lin, Guoxin Wang, Hui Chen, Börje F. Karlsson, Biqing Huang, Chin-Yew Lin

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Neural Image Caption Generation with Weighted Training and Reference.

Guiguang Ding, Minghai Chen, Sicheng Zhao, Hui Chen, Jungong Han, Qiang Liu

Cogn. Comput., 2019

PDANet: Polarity-consistent Deep Attention Network for Fine-grained Visual Emotion Regression.

Sicheng Zhao, Zizhou Jia, Hui Chen, Leida Li, Guiguang Ding, Kurt Keutzer

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Cross-Modal Image-Text Retrieval with Semantic Consistency.

Hui Chen, Guiguang Ding, Zijia Lin, Sicheng Zhao, Jungong Han

Proceedings of the 27th ACM International Conference on Multimedia, 2019

An Adaptive MAC Layer Energy-Saving Algorithm for ZigBee-Enabled IoT Networks.

Yaxuan Zhang, Kun Yang, Hui Chen

Proceedings of the Smart City and Informatization - 7th International Conference, 2019

GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition.

Hui Chen, Zijia Lin, Guiguang Ding, Jianguang Lou, Yusen Zhang, Börje Karlsson

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Show, Observe and Tell: Attribute-driven Attention Model for Image Captioning.

Hui Chen, Guiguang Ding, Zijia Lin, Sicheng Zhao, Jungong Han

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Attend to Knowledge: Memory-Enhanced Attention Network for Image Captioning.

Hui Chen, Guiguang Ding, Zijia Lin, Yuchen Guo, Jungong Han

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018

Temporal-Difference Learning With Sampling Baseline for Image Captioning.

Hui Chen, Guiguang Ding, Sicheng Zhao, Jungong Han

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Reference Based LSTM for Image Captioning.

Minghai Chen, Guiguang Ding, Sicheng Zhao, Hui Chen, Qiang Liu, Jungong Han

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017