Liu, Ting

112 publications

MLJ 2026 DiverSeed: Integrating Active Learning for Target Domain Data Generation in Instruction Tuning Jingsheng Gao, Mengnan Qi, Xian Gao, Suncheng Xiang, Ke Ji, Jiacheng Ruan, Ting Liu, Yuzhuo Fu

ICLR 2025 Accelerating Diffusion Transformers with Token-Wise Feature Caching Chang Zou, Xuyang Liu, Ting Liu, Siteng Huang, Linfeng Zhang

IJCAI 2025 Beyond Fixed Length: Bucket Pre-Training Is All You Need Qing Yang, Qiyao Peng, Hongtao Liu, Kai Liu, Bing Qin, Ting Liu

AAAI 2025 Densely Connected Parameter-Efficient Tuning for Referring Image Segmentation Jiaqi Huang, Zunnan Xu, Ting Liu, Yong Liu, Haonan Han, Kehong Yuan, Xiu Li

CVPR 2025 EVPGS: Enhanced View Prior Guidance for Splatting-Based Extrapolated View Synthesis Jiahe Li, Feiyu Wang, Xiaochao Qu, Chengjing Wu, Luoqi Liu, Ting Liu

CVPR 2025 Efficient Decoupled Feature 3D Gaussian Splatting via Hierarchical Compression Zhenqi Dai, Ting Liu, Yanning Zhang

ICML 2025 Epsilon-VAE: Denoising as Visual Decoding Long Zhao, Sanghyun Woo, Ziyu Wan, Yandong Li, Han Zhang, Boqing Gong, Hartwig Adam, Xuhui Jia, Ting Liu

CVPR 2025 From Elements to Design: A Layered Approach for Automatic Graphic Design Composition Jiawei Lin, Shizhao Sun, Danqing Huang, Ting Liu, Ji Li, Jiang Bian

CVPR 2025 GlyphMastero: A Glyph Encoder for High-Fidelity Scene Text Editing Tong Wang, Ting Liu, Xiaochao Qu, Chengjing Wu, Luoqi Liu, Xiaolin Hu

NeurIPS 2025 How Does Sequence Modeling Architecture Influence Base Capabilities of Pre-Trained Language Models? Exploring Key Architecture Design Principles to Avoid Base Capabilities Degradation Xin Lu, Yanyan Zhao, Si Wei, Shijin Wang, Bing Qin, Ting Liu

CVPR 2025 Hybrid Global-Local Representation with Augmented Spatial Guidance for Zero-Shot Referring Image Segmentation Ting Liu, Siyuan Li

AAAI 2025 MM-CamObj: A Comprehensive Multimodal Dataset for Camouflaged Object Scenarios Jiacheng Ruan, Wenzhen Yuan, Zehao Lin, Ning Liao, Zhiyu Li, Feiyu Xiong, Ting Liu, Yuzhuo Fu

CVPR 2025 MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting Jun Huang, Ting Liu, Yihang Wu, Xiaochao Qu, Luoqi Liu, Xiaolin Hu

AAAI 2025 Memory Efficient Matting with Adaptive Token Routing Yiheng Lin, Yihan Hu, Chenyi Zhang, Ting Liu, Xiaochao Qu, Luoqi Liu, Yao Zhao, Yunchao Wei

CVPR 2025 NTClick: Achieving Precise Interactive Segmentation with Noise-Tolerant Clicks Chenyi Zhang, Ting Liu, Xiaochao Qu, Luoqi Liu, Yao Zhao, Yunchao Wei

CVPRW 2025 NTIRE 2025 Ambient Lighting Normalization Challenge Report Florin-Alexandru Vasluianu, Tim Seizinger, Zhuyun Zhou, Zongwei Wu, Radu Timofte, Yuanfei Bao, Xingbo Wang, Xin Lu, Jiarong Yang, Anya Hu, Kunyu Wang, Jie Xiao, Dong Li, Xueyang Fu, Zheng-Jun Zha, Zihao Fan, Xi Wang, Yurui Zhu, Kean Liu, Senyan Xu, Hongjian Liu, Yupeng Xiao, David Serrano-Lozano, Francisco A. Molina-Bakhos, Danna Xue, Yixiong Yang, Maria Pilligua, Ramon Baldrich, María Vanrell, Javier Vazquez-Corral, Xuan Sun, Zijie Lou, Ting Liu, Kuldeep Purohit, Jameer Babu Pinjari, Yilin Zhang, Huan Zheng, Yanyan Wei, Suiyi Zhao, Shengeng Tang, Zhao Zhang, Yushen Zuo, Zongqi He, Zhe Xiao, Cuixin Yang, Rongkang Dong, Jun Xiao, Kin-Man Lam, Nikhil Akalwadi, Vijayalaxmi Ashok Aralikatti, Dheeraj Damodhar Hegde, Ramesh Ashok Tabib, Uma Mudenagudi, Anas M. Ali, Bilel Benjdira, Wadii Boulila

NeurIPS 2025 SAM-R1: Leveraging SAM for Reward Feedback in Multimodal Segmentation via Reinforcement Learning Jiaqi Huang, Zunnan Xu, Jun Zhou, Ting Liu, Yicheng Xiao, Mingwen Ou, Bowen Ji, Xiu Li, Kehong Yuan

CVPR 2025 SAM-REF: Introducing Image-Prompt Synergy During Interaction for Detail Enhancement in the Segment Anything Model Chongkai Yu, Ting Liu, Anqi Li, Xiaochao Qu, Chengjing Wu, Luoqi Liu, Xiaolin Hu

AAAI 2025 TTE: Two Tokens Are Enough to Improve Parameter-Efficient Tuning Jiacheng Ruan, Mingye Xie, Jingsheng Gao, Xian Gao, Suncheng Xiang, Ting Liu, Yuzhuo Fu

NeurIPS 2025 Teaching Language Models to Evolve with Users: Dynamic Profile Modeling for Personalized Alignment Weixiang Zhao, Xingyu Sui, Yulin Hu, Jiahe Guo, Haixiao Liu, Biye Li, Yanyan Zhao, Bing Qin, Ting Liu

ICML 2025 The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models via Visual Information Steering Zhuowei Li, Haizhou Shi, Yunhe Gao, Di Liu, Zhenting Wang, Yuxiao Chen, Ting Liu, Long Zhao, Hao Wang, Dimitris N. Metaxas

CVPR 2025 TopNet: Transformer-Efficient Occupancy Prediction Network for Octree-Structured Point Cloud Geometry Compression Xinjie Wang, Yifan Zhang, Ting Liu, Xinpu Liu, Ke Xu, Jianwei Wan, Yulan Guo, Hanyun Wang

NeurIPS 2025 UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection Yang Zhao, Kai Xiong, Xiao Ding, Li Du, YangouOuyang, Zhouhao Sun, Jiannan Guan, Wenbin Zhang, Bin Liu, Dong Hu, Bing Qin, Ting Liu

ICCV 2025 VLRMBench: A Comprehensive and Challenging Benchmark for Vision-Language Reward Models Jiacheng Ruan, Wenzhen Yuan, Xian Gao, Ye Guo, Daoxin Zhang, Zhe Xu, Yao Hu, Ting Liu, Yuzhuo Fu

NeurIPS 2025 When Less Language Is More: Language-Reasoning Disentanglement Makes LLMs Better Multilingual Reasoners Weixiang Zhao, Jiahe Guo, Yang Deng, Tongtong Wu, Wenxuan Zhang, Yulin Hu, Xingyu Sui, Yanyan Zhao, Wanxiang Che, Bing Qin, Tat-Seng Chua, Ting Liu

MLJ 2024 Deep Multimodal Representation Learning for Generalizable Person Re-Identification Suncheng Xiang, Hao Chen, Wei Ran, Zefang Yu, Ting Liu, Dahong Qian, Yuzhuo Fu

CVPR 2024 Distilling Vision-Language Models on Millions of Videos Yue Zhao, Long Zhao, Xingyi Zhou, Jialin Wu, Chun-Te Chu, Hui Miao, Florian Schroff, Hartwig Adam, Ting Liu, Boqing Gong, Philipp Krahenbuhl, Liangzhe Yuan

ICMLW 2024 Enhancing Fine-Grained Multi-Modal Alignment via Adapters: A Parameter-Efficient Training Framework for Referring Image Segmentation Zunnan Xu, Jiaqi Huang, Ting Liu, Yong Liu, Haonan Han, Kehong Yuan, Xiu Li

NeurIPS 2024 Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration Yichong Huang, Xiaocheng Feng, Baohang Li, Yang Xiang, Hui Wang, Ting Liu, Bing Qin

AAAI 2024 From Raw Video to Pedagogical Insights: A Unified Framework for Student Behavior Analysis Zefang Yu, Mingye Xie, Jingsheng Gao, Ting Liu, Yuzhuo Fu

AAAI 2024 LAMM: Label Alignment for Multi-Modal Prompt Learning Jingsheng Gao, Jiacheng Ruan, Suncheng Xiang, Zefang Yu, Ke Ji, Mingye Xie, Ting Liu, Yuzhuo Fu

AAAI 2024 Lyapunov-Stable Deep Equilibrium Models Haoyu Chu, Shikui Wei, Ting Liu, Yao Zhao, Yuto Miyatake

AAAI 2024 Manifold-Based Verbalizer Space Re-Embedding for Tuning-Free Prompt-Based Classification Haochun Wang, Sendong Zhao, Chi Liu, Nuwa Xi, Muzhen Cai, Bing Qin, Ting Liu

NeurIPS 2024 Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance Kai Xiong, Xiao Ding, Ting Liu, Bing Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Yixin Cao

ICML 2024 On Discrete Prompt Optimization for Diffusion Models Ruochen Wang, Ting Liu, Cho-Jui Hsieh, Boqing Gong

ECCV 2024 Open-Vocabulary 3D Semantic Segmentation with Text-to-Image Diffusion Models Xiaoyu Zhu, Hao Zhou, Pengfei Xing, Long Zhao, Hao Xu, Junwei Liang, Alexander G. Hauptmann, Ting Liu, Andrew Gallagher

ECCVW 2024 PVUW 2024 Challenge on Complex Video Understanding: Methods and Results Henghui Ding, Chang Liu, Yunchao Wei, Nikhila Ravi, Shuting He, Song Bai, Philip Torr, Deshui Miao, Xin Li, Zhenyu He, Yaowei Wang, Ming-Hsuan Yang, Zhensong Xu, Jiangtao Yao, Chengjing Wu, Ting Liu, Luoqi Liu, Xinyu Liu, Jing Zhang, Kexin Zhang, Yuting Yang, Licheng Jiao, Shuyuan Yang, Mingqi Gao, Jingnan Luo, Jinyu Yang, Jungong Han, Feng Zheng, Bin Cao, Yisi Zhang, Xuanxu Lin, Xingjian He, Bo Zhao, Jing Liu, Feiyu Pan, Hao Fang, Xiankai Lu

WACV 2024 Steering Prototypes with Prompt-Tuning for Rehearsal-Free Continual Learning Zhuowei Li, Long Zhao, Zizhao Zhang, Han Zhang, Di Liu, Ting Liu, Dimitris N. Metaxas

ICLR 2024 Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding Yuanhao Xiong, Long Zhao, Boqing Gong, Ming-Hsuan Yang, Florian Schroff, Ting Liu, Cho-Jui Hsieh, Liangzhe Yuan

ECCVW 2024 The Second Visual Object Tracking Segmentation VOTS2024 Challenge Results Matej Kristan, Jirí Matas, Pavel Tokmakov, Michael Felsberg, Luka Cehovin Zajc, Alan Lukezic, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Hyung Jin Chang, Gustavo Fernández, Minasadat Attari, Antoni B. Chan, Liang Chen, Xin Chen, Jaired Collins, Yutao Cui, Ganesh Sai Manas Devarapu, Yinglong Du, Heng Fan, Wan-Cyuan Fan, Zhenhua Feng, Mingqi Gao, Rama Krishna Gorthi, Raghav Goyal, Jungong Han, Bijaya Kumar Hatuwal, Zhenyu He, Xiantao Hu, Xingsen Huang, Yuqing Huang, Dongmei Jiang, Ben Kang, Kannappan Palaniappan, Josef Kittler, Simiao Lai, Ning Li, Xiaohai Li, Xin Li, Cheng Liang, Liting Lin, Haibin Ling, Ting Liu, Ziquan Liu, Huchuan Lu, Yifei Luo, Deshui Miao, Juan David Mogollon, Ziqi Pang, Jaswanth Reddy Pochimireddy, Viktor Prutyanov, Gani Rahmon, Aleksandr Romanov, Liangtao Shi, Mennatullah Siam, Leonid Sigal, Arun Kumar Sivapuram, Roman A. Solovyev, Elham Soltani Kazemi, Imad Eddine Toubal, Jia Wan, Limin Wang, Xinying Wang, Yaowei Wang, Yu-Xiong Wang, Zhiquan Wang, Gangshan Wu, Qiangqiang Wu, Xiaojun Wu, Zihao Xia, Jinxia Xie, Chenlong Xu, Tianyang Xu, Yong Xu, Chaocan Xue, Chao Yang, Jinyu Yang, Ming-Hsuan Yang, Chenyang Yu, Ke Yu, Chunhui Zhang, Jiaming Zhang, Zhipeng Zhang, Feng Zheng, Yaozong Zheng, Bineng Zhong, Jinglin Zhou, Junbao Zhou, Yong Zhou, Zikun Zhou, Guibo Zhu, Jiawen Zhu, Xuefeng Zhu, Vladimir V. Zunin

NeurIPS 2024 V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark Yi Xin, Siqi Luo, Xuyang Liu, Yuntao Du, Haodi Zhou, Xinyu Cheng, Christina Lee, Junlong Du, Haozhe Wang, Mingcai Chen, Ting Liu, Guimin Hu, Zhongwei Wan, Rongchao Zhang, Aoxue Li, Mingyang Yi, Xiaohong Liu

TMLR 2024 VideoGLUE: Video General Understanding Evaluation of Foundation Models Liangzhe Yuan, Nitesh Bharadwaj Gundavarapu, Long Zhao, Hao Zhou, Yin Cui, Lu Jiang, Xuan Yang, Menglin Jia, Tobias Weyand, Luke Friedman, Mikhail Sirotenko, Huisheng Wang, Florian Schroff, Hartwig Adam, Ming-Hsuan Yang, Ting Liu, Boqing Gong

ICML 2024 VideoPrism: A Foundational Visual Encoder for Video Understanding Long Zhao, Nitesh Bharadwaj Gundavarapu, Liangzhe Yuan, Hao Zhou, Shen Yan, Jennifer J. Sun, Luke Friedman, Rui Qian, Tobias Weyand, Yue Zhao, Rachel Hornung, Florian Schroff, Ming-Hsuan Yang, David A Ross, Huisheng Wang, Hartwig Adam, Mikhail Sirotenko, Ting Liu, Boqing Gong

ICCV 2023 A Parse-Then-Place Approach for Generating Graphic Layouts from Textual Descriptions Jiawei Lin, Jiaqi Guo, Shizhao Sun, Weijiang Xu, Ting Liu, Jian-Guang Lou, Dongmei Zhang

MLJ 2023 Learning from Self-Discrepancy via Multiple Co-Teaching for Cross-Domain Person Re-Identification Suncheng Xiang, Yuzhuo Fu, Mengyuan Guan, Ting Liu

ICCV 2023 Learning from Semantic Alignment Between Unpaired Multiviews for Egocentric Video Recognition Qitong Wang, Long Zhao, Liangzhe Yuan, Ting Liu, Xi Peng

CVPR 2023 Learning to Generate Image Embeddings with User-Level Differential Privacy Zheng Xu, Maxwell Collins, Yuxiao Wang, Liviu Panait, Sewoong Oh, Sean Augenstein, Ting Liu, Florian Schroff, H. Brendan McMahan

ICCV 2023 Monte Carlo Linear Clustering with Single-Point Supervision Is Enough for Infrared Small Target Detection Boyang Li, Yingqian Wang, Longguang Wang, Fei Zhang, Ting Liu, Zaiping Lin, Wei An, Yulan Guo

AAAI 2023 Progressive Neighborhood Aggregation for Semantic Segmentation Refinement Ting Liu, Yunchao Wei, Yanning Zhang

AAAI 2023 Self-Supervised Logic Induction for Explainable Fuzzy Temporal Commonsense Reasoning Bibo Cai, Xiao Ding, Zhouhao Sun, Bing Qin, Ting Liu, Baojun Wang, Lifeng Shang

ICCV 2023 Unified Visual Relationship Detection with Vision and Language Models Long Zhao, Liangzhe Yuan, Boqing Gong, Yin Cui, Florian Schroff, Ming-Hsuan Yang, Hartwig Adam, Ting Liu

ECCV 2022 Adaptive Co-Teaching for Unsupervised Monocular Depth Estimation Weisong Ren, Lijun Wang, Yongri Piao, Miao Zhang, Huchuan Lu, Ting Liu

NeurIPSW 2022 An Empirical Study on Clustering Pretrained Embeddings: Is Deep Strictly Better? Tyler R. Scott, Ting Liu, Michael Curtis Mozer, Andrew Gallagher

ECCV 2022 COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality Honglu Zhou, Asim Kadav, Aviv Shamsian, Shijie Geng, Farley Lai, Long Zhao, Ting Liu, Mubbasir Kapadia, Hans Peter Graf

CVPR 2022 Contextualized Spatio-Temporal Contrastive Learning with Self-Supervision Liangzhe Yuan, Rui Qian, Yin Cui, Boqing Gong, Florian Schroff, Ming-Hsuan Yang, Hartwig Adam, Ting Liu

CVPR 2022 LIFT: Learning 4D LiDAR Image Fusion Transformer for 3D Object Detection Yihan Zeng, Da Zhang, Chunwei Wang, Zhenwei Miao, Ting Liu, Xin Zhan, Dayang Hao, Chao Ma

AAAI 2022 Mitigating Reporting Bias in Semi-Supervised Temporal Commonsense Inference with Probabilistic Soft Logic Bibo Cai, Xiao Ding, Bowen Chen, Li Du, Ting Liu

CVPRW 2022 Multi-Modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving Jingxiao Zheng, Xinwei Shi, Alexander N. Gorban, Junhua Mao, Yang Song, Charles R. Qi, Ting Liu, Visesh Chari, Andre Cornman, Yin Zhou, Congcong Li, Dragomir Anguelov

CVPR 2022 Multi-Source Uncertainty Mining for Deep Unsupervised Saliency Detection Yifan Wang, Wenbo Zhang, Lijun Wang, Ting Liu, Huchuan Lu

CVPRW 2022 Rethinking Illumination for Person Re-Identification: A Unified View Suncheng Xiang, Guanjie You, Leqi Li, Mengyuan Guan, Ting Liu, Dahong Qian, Yuzhuo Fu

ICLR 2022 Surrogate Gap Minimization Improves Sharpness-Aware Training Juntang Zhuang, Boqing Gong, Liangzhe Yuan, Yin Cui, Hartwig Adam, Nicha C Dvornek, Sekhar Tatikonda, James s Duncan, Ting Liu

AAAI 2022 You Only Infer Once: Cross-Modal Meta-Transfer for Referring Video Object Segmentation Dezhuang Li, Ruoqi Li, Lijun Wang, Yifan Wang, Jinqing Qi, Lu Zhang, Ting Liu, Qingquan Xu, Huchuan Lu

IJCAI 2021 A Survey on Spoken Language Understanding: Recent Advances and New Frontiers Libo Qin, Tianbao Xie, Wanxiang Che, Ting Liu

AAAI 2021 C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot Filling Yutai Hou, Sanyuan Chen, Wanxiang Che, Cheng Chen, Ting Liu

AAAI 2021 Co-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification Libo Qin, Zhouyang Li, Wanxiang Che, Minheng Ni, Ting Liu

AAAI 2021 Few-Shot Learning for Multi-Label Intent Detection Yutai Hou, Yongkui Lai, Yushan Wu, Wanxiang Che, Ting Liu

CVPR 2021 Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization Long Zhao, Yuxiao Wang, Jiaping Zhao, Liangzhe Yuan, Jennifer J. Sun, Florian Schroff, Hartwig Adam, Xi Peng, Dimitris Metaxas, Ting Liu

AAAI 2021 Model Uncertainty Guides Visual Object Tracking Lijun Zhou, Antoine Ledent, Qintao Hu, Ting Liu, Jianlin Zhang, Marius Kloft

AAAI 2020 DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classification Libo Qin, Wanxiang Che, Yangming Li, Minheng Ni, Ting Liu

AAAI 2020 Discriminative Sentence Modeling for Story Ending Prediction Yiming Cui, Wanxiang Che, Wei-Nan Zhang, Ting Liu, Shijin Wang, Guoping Hu

AAAI 2020 Generating Persona Consistent Dialogues by Exploiting Natural Language Inference Haoyu Song, Wei-Nan Zhang, Jingwen Hu, Ting Liu

IJCAI 2020 Guided Generation of Cause and Effect Zhongyang Li, Xiao Ding, Ting Liu, J. Edward Hu, Benjamin Van Durme

AAAI 2020 Learning to Select Bi-Aspect Information for Document-Scale Text Content Manipulation Xiaocheng Feng, Yawei Sun, Bing Qin, Heng Gong, Yibo Sun, Wei Bi, Xiaojiang Liu, Ting Liu

NeurIPS 2020 Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness Long Zhao, Ting Liu, Xi Peng, Dimitris Metaxas

AAAI 2020 Multi-Task Self-Supervised Learning for Disfluency Detection Shaolei Wang, Wanxiang Che, Qi Liu, Pengda Qin, Ting Liu, William Yang Wang

AAAI 2020 Understanding Medical Conversations with Scattered Keyword Attention and Weak Supervision from Responses Xiaoming Shi, Haifeng Hu, Wanxiang Che, Zhongqian Sun, Ting Liu, Junzhou Huang

ECCV 2020 View-Invariant Probabilistic Embedding for Human Pose Jennifer J. Sun, Jiaping Zhao, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Ting Liu

AAAI 2019 A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization Sendong Zhao, Ting Liu, Sicheng Zhao, Fei Wang

AAAI 2019 A Neural Network Approach to Verb Phrase Ellipsis Resolution Weinan Zhang, Yue Zhang, Yuanxing Liu, Donglin Di, Ting Liu

AAAI 2019 Devil in the Details: Towards Accurate Single and Multiple Human Parsing Tao Ruan, Ting Liu, Zilong Huang, Yunchao Wei, Shikui Wei, Yao Zhao

IJCAI 2019 Exploiting Persona Information for Diverse Generation of Conversational Responses Haoyu Song, Weinan Zhang, Yiming Cui, Dong Wang, Ting Liu

AAAI 2019 Gaussian Transformer: A Lightweight Approach for Natural Language Inference Maosheng Guo, Yu Zhang, Ting Liu

CVPRW 2019 NTIRE 2019 Challenge on Image Enhancement: Methods and Results Andrey Ignatov, Radu Timofte, Xiaochao Qu, Xingguang Zhou, Ting Liu, Pengfei Wan, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Dongwon Park, Se Young Chun, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Zhiwei Zhong, Xianming Liu, Junjun Jiang, Debin Zhao, Muhammad Haris, Kazutoshi Akita, Tomoki Yoshida, Greg Shakhnarovich, Norimichi Ukita, Jie Liu, Cheolkon Jung, Raimondo Schettini, Simone Bianco, Claudio Cusano, Flavio Piccoli, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Nelson Chong Ngee Bow, Lai-Kuan Wong, John See, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Zheng Hui, Xiumei Wang, Xinbo Gao, Kanti Kumari, Vikas Kumar Anand, Mahendra Khened, Ganapathy Krishnamurthi

IJCAI 2019 Story Ending Prediction by Transferable BERT Zhongyang Li, Xiao Ding, Ting Liu

AAAI 2018 A Neural Transition-Based Approach for Semantic Dependency Graph Parsing Yuxuan Wang, Wanxiang Che, Jiang Guo, Ting Liu

IJCAI 2018 Constructing Narrative Event Evolutionary Graph for Script Event Prediction Zhongyang Li, Xiao Ding, Ting Liu

IJCAI 2018 Domain Adaptation via Tree Kernel Based Maximum Mean Discrepancy for User Consumption Intention Identification Xiao Ding, Bibo Cai, Ting Liu, Qiankun Shi

AAAI 2018 Exploring Implicit Feedback for Open Domain Conversation Generation Weinan Zhang, Lingzhi Li, Dongyan Cao, Ting Liu

AAAI 2018 Hierarchical Attention Flow for Multiple-Choice Reading Comprehension Haichao Zhu, Furu Wei, Bing Qin, Ting Liu

IJCAI 2018 Improving Entity Recommendation with Search Log and Multi-Task Learning Jizhou Huang, Wei Zhang, Yaming Sun, Haifeng Wang, Ting Liu

IJCAI 2018 Improving Low Resource Named Entity Recognition Using Cross-Lingual Knowledge Transfer Xiaocheng Feng, Xiachong Feng, Bing Qin, Zhangyin Feng, Ting Liu

IJCAI 2018 Joint Extraction of Entities and Relations Based on a Novel Graph Scheme Shaolei Wang, Yue Zhang, Wanxiang Che, Ting Liu

IJCAI 2018 Topic-to-Essay Generation with Neural Networks Xiaocheng Feng, Ming Liu, Jiahao Liu, Bing Qin, Yibo Sun, Ting Liu

IJCAI 2017 A Deep Neural Network for Chinese Zero Pronoun Resolution Qingyu Yin, Weinan Zhang, Yu Zhang, Ting Liu

IJCAI 2017 ContextCare: Incorporating Contextual Information Networks to Representation Learning on Medical Forum Data Stan Zhao, Meng Jiang, Quan Yuan, Bing Qin, Ting Liu, ChengXiang Zhai

IJCAI 2017 Effective Deep Memory Networks for Distant Supervised Relation Extraction Xiaocheng Feng, Jiang Guo, Bing Qin, Ting Liu, Yongjie Liu

JAIR 2016 A Distributed Representation-Based Framework for Cross-Lingual Transfer Parsing Jiang Guo, Wanxiang Che, David Yarowsky, Haifeng Wang, Ting Liu

AAAI 2016 A Representation Learning Framework for Multi-Source Transfer Parsing Jiang Guo, Wanxiang Che, David Yarowsky, Haifeng Wang, Ting Liu

IJCAI 2016 Exploring Segment Representations for Neural Segmentation Models Yijia Liu, Wanxiang Che, Jiang Guo, Bing Qin, Ting Liu

IJCAI 2016 HC-Search for Incremental Parsing Yijia Liu, Wanxiang Che, Bing Qin, Ting Liu

CVPRW 2016 Joint Learning of Convolutional Neural Networks and Temporally Constrained Metrics for Tracklet Association Bing Wang, Li Wang, Bing Shuai, Zhen Zuo, Ting Liu, Kap Luk Chan, Gang Wang

ECCV 2016 SSHMT: Semi-Supervised Hierarchical Merge Tree for Electron Microscopy Image Segmentation Ting Liu, Miaomiao Zhang, Mehran Javanmardi, Nisha Ramesh, Tolga Tasdizen

IJCAI 2015 Deep Learning for Event-Driven Stock Prediction Xiao Ding, Yue Zhang, Ting Liu, Junwen Duan

AAAI 2015 Exploring Key Concept Paraphrasing Based on Pivot Language Translation for Question Retrieval Weinan Zhang, Zhaoyan Ming, Yu Zhang, Ting Liu, Tat-Seng Chua

AAAI 2015 Mining User Consumption Intention from Social Media Using Domain Adaptive Convolutional Neural Network Xiao Ding, Ting Liu, Junwen Duan, Jian-Yun Nie

CVPR 2015 Real-Time Part-Based Visual Tracking via Adaptive Correlation Filters Ting Liu, Gang Wang, Qingxiong Yang

IJCAI 2015 User Modeling with Neural Network for Review Rating Prediction Duyu Tang, Bing Qin, Ting Liu, Yuekui Yang

IJCAI 2007 Automatic Acquisition of Context-Specific Lexical Paraphrases Shiqi Zhao, Ting Liu, Xincheng Yuan, Sheng Li, Yu Zhang

IJCAI 2007 Learning Question Paraphrases for QA from Encarta Logs Shiqi Zhao, Ming Zhou, Ting Liu

JMLR 2006 New Algorithms for Efficient High-Dimensional Nonparametric Classification Ting Liu, Andrew W. Moore, Alexander Gray

NeurIPS 2004 An Investigation of Practical Approximate Nearest Neighbor Algorithms Ting Liu, Andrew W. Moore, Ke Yang, Alexander G. Gray

NeurIPS 2003 New Algorithms for Efficient High Dimensional Non-Parametric Classification Ting Liu, Andrew W. Moore, Alexander Gray