Ting Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
508
Venues
19
Active years
2000–2026
Best venue rank
A*
Where they publish
Papers
Showing the 300 most recent indexed papers.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | The Visual Prism: Refracting Images into Parallel Multilingual Descriptions with Structured Visual Guidance. | Chengpeng Fu, Xiaocheng Feng, Yichong Huang, Wenshuai Huo, Baohang Li, Yang Xiang, Ting Liu |
| 2026 | AAAI | MME-SCI: A Comprehensive and Challenging Science Benchmark for Multimodal Large Language Models. | Jiacheng Ruan, Dan Jiang, Xian Gao, Ting Liu, Yuzhuo Fu, Yangyang Kang |
| 2026 | AAAI | Unnoticed Yet Effective: A Hybrid Physical Camouflage Framework Against DNNs and Human Perception. | Mingye Xie, Jiacheng Ruan, Xian Gao, Ting Liu, Yuzhuo Fu |
| 2026 | AAAI | MedAtlas: Evaluating LLMs for Multi-Round, Multi-Task Medical Reasoning Across Diverse Imaging Modalities and Clinical Text. | Ronghao Xu, Zhen Huang, Yangbo Wei, Xiaoqian Zhou, Zikang Xu, Ting Liu, Zihang Jiang, S. Kevin Zhou |
| 2026 | AAAI | Bridging Scale Discrepancies in Robotic Control via Language-Based Action Representations. | Yuchi Zhang, Churui Sun, Shiqi Liang, Diyuan Liu, Chao Ji, Weinan Zhang, Ting Liu |
| 2026 | AAAI | CultureRL: Internalizing Cultural Principles in Large Language Models via Norm-Driven Reinforcement Learning. | Weixiang Zhao, Haozhen Li, Yanyan Zhao, Haixiao Liu, Biye Li, Ting Liu, Bing Qin |
| 2026 | AAAI | Trade-offs in Large Reasoning Models: An Empirical Analysis of Deliberative and Adaptive Reasoning over Foundational Capabilities. | Weixiang Zhao, Xingyu Sui, Jiahe Guo, Yulin Hu, Yang Deng, Yanyan Zhao, Xuda Zhi, Yongbo Huang, Hao He, Wanxiang Che, Ting Liu, Bing Qin |
| 2026 | ACL | Toward Secure Tuning: Mitigating Security Risks from Instruction Fine-Tuning. | Yanrui Du, Fenglei Fan, Sendong Zhao, Jiawei Cao, Ming Ma, Danyang Zhao, Shuren Qi, Ting Liu, Bing Qin |
| 2026 | ACL | Exploring and Distilling Multi-Dimensional Clues for Interpretable Social Bot Detection. | Yi Han, Haiqi Lu, Lizi Liao, Shuhan Zhou, Yuanxing Liu, Weinan Zhang, Ting Liu |
| 2026 | ACL | AutoVecCoder: Teaching LLMs to Generate Explicitly Vectorized Code. | ShangZhan Li, Xinyu Yin, Xuanyu Jin, Ye He, Yuxin Zhou, Yuxuan Li, Xu Han, Wanxiang Che, Qi Shi, Ting Liu, Maosong Sun |
| 2026 | ACL | FAER: Benchmarking VLMs for Failure-Aware Embodied Reasoning. | Hao Song, Kaifeng Liu, Yuanxing Liu, Xiang Tian, Xuesong Wang, Chen Yifan, Weinan Zhang, Ting Liu |
| 2026 | ACL | Large Language Models Are Still Misled by Simple Bias Ensembles. | Zhouhao Sun, Zhiyuan Kan, Xiao Ding, Li Du, Bibo Cai, Yang Zhao, Bing Qin, Ting Liu |
| 2026 | ACL | MDC-Bench: A Multidisciplinary Causal Benchmark Based on Causal Structures for Evaluating Large Language Models. | Peng Wang, Yuxiong Yan, Xiao Ding, Kai Xiong, Bibo Cai, Chao Peng, Yutai Hou, Dandan Tu, Bing Qin, Ting Liu |
| 2026 | ACL | Beyond Uniform SVD: Dual-Level Optimization across Columns and Modules for LLM Compression. | Lin Xv, Xian Gao, Ting Liu, Yuzhuo Fu |
| 2026 | ACL | TinyJudge: Unverifiable Constraint Alignment via Lightweight Specialist Ensembles. | Yirong Zeng, Yufei Liu, Xiao Ding, Yutai Hou, Yuxian Wang, Wu Ning, Haonan Song, Dandan Tu, Qixun Zhang, Yuxiang He, Bibo Cai, Ting Liu |
| 2026 | ACL | Question Tells You Where the Answer Is: Intention-aware Long-Context KV Cache Compression. | Liang Zhao, Xiaocheng Feng, Weihong Zhong, Lei Huang, Kun Zhu, Baoxin Wang, Dayong Wu, Guoping Hu, Ting Liu, Bing Qin |
| 2026 | ACL | Consolidation or Adaptation? PRISM: Disentangling SFT and RL Data via Gradient Concentration. | Yang Zhao, Yangou Ouyang, Xiao Ding, Hepeng Wang, Bibo Cai, Kai Xiong, Jinglong Gao, Zhouhao Sun, Li Du, Bing Qin, Ting Liu |
| 2026 | ACL | MAESTRO: Meta-learning Adaptive Estimation of Scalarization Trade-offs for Reward Optimization. | Yang Zhao, Hepeng Wang, Xiao Ding, Yangou Ouyang, Bibo Cai, Kai Xiong, Jinglong Gao, Zhouhao Sun, Li Du, Bing Qin, Ting Liu |
| 2026 | ACL | On Safety Risks in Experience-Driven Self-Evolving Agents. | Weixiang Zhao, Yichen Zhang, Yingshuo Wang, Yang Deng, Yanyan Zhao, Xuda Zhi, Yongbo Huang, Hao He, Wanxiang Che, Bing Qin, Ting Liu |
| 2025 | AAAI | Densely Connected Parameter-Efficient Tuning for Referring Image Segmentation. | Jiaqi Huang, Zunnan Xu, Ting Liu, Yong Liu, Haonan Han, Kehong Yuan, Xiu Li |
| 2025 | AAAI | Memory Efficient Matting with Adaptive Token Routing. | Yiheng Lin, Yihan Hu, Chenyi Zhang, Ting Liu, Xiaochao Qu, Luoqi Liu, Yao Zhao, Yunchao Wei |
| 2025 | AAAI | 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 |
| 2025 | AAAI | TTE: Two Tokens Are Enough to Improve Parameter-Efficient Tuning. | Jiacheng Ruan, Mingye Xie, Jingsheng Gao, Xian Gao, Suncheng Xiang, Ting Liu, Yuzhuo Fu |
| 2025 | ACL | Com² : A Causal-Guided Benchmark for Exploring Complex Commonsense Reasoning in Large Language Models. | Kai Xiong, Xiao Ding, Yixin Cao, Yuxiong Yan, Li Du, Yufei Zhang, Jinglong Gao, Jiaqian Liu, Bing Qin, Ting Liu |
| 2025 | ACL | ExpeTrans: LLMs Are Experiential Transfer Learners. | Jinglong Gao, Xiao Ding, Lingxiao Zou, Bibo Cai, Bing Qin, Ting Liu |
| 2025 | ACL | Length Controlled Generation for Black-box LLMs. | Yuxuan Gu, Wenjie Wang, Xiaocheng Feng, Weihong Zhong, Kun Zhu, Lei Huang, Ting Liu, Bing Qin, Tat-Seng Chua |
| 2025 | ACL | Alleviating Hallucinations from Knowledge Misalignment in Large Language Models via Selective Abstention Learning. | Lei Huang, Xiaocheng Feng, Weitao Ma, Yuchun Fan, Xiachong Feng, Yuxuan Gu, Yangfan Ye, Liang Zhao, Weihong Zhong, Baoxin Wang, Dayong Wu, Guoping Hu, Lingpeng Kong, Tong Xiao, Ting Liu, Bing Qin |
| 2025 | ACL | One for All: Update Parameterized Knowledge Across Multiple Models with Once Edit. | Weitao Ma, Xiyuan Du, Xiaocheng Feng, Lei Huang, Yichong Huang, Huiyi Zhang, Xiaoliang Yang, Baohang Li, Xiachong Feng, Ting Liu, Bing Qin |
| 2025 | ACL | Natural Logic at the Core: Dynamic Rewards for Entailment Tree Generation. | Jihao Shi, Xiao Ding, Kai Xiong, Hengwei Zhao, Bing Qin, Ting Liu |
| 2025 | ACL | Beyond Frameworks: Unpacking Collaboration Strategies in Multi-Agent Systems. | Haochun Wang, Sendong Zhao, Jingbo Wang, Zewen Qiang, Bing Qin, Ting Liu |
| 2025 | ACL | Analyzing the Rapid Generalization of SFT via the Perspective of Attention Head Activation Patterns. | Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin |
| 2025 | ACL | Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection. | Yang Zhao, Li Du, Xiao Ding, Yangou Ouyang, Hepeng Wang, Kai Xiong, Jinglong Gao, Zhouhao Sun, Dongliang Xu, Qing Yang, Dongchen Li, Bing Qin, Ting Liu |
| 2025 | ACL | Beware of Your Po! Measuring and Mitigating AI Safety Risks in Role-Play Fine-Tuning of LLMs. | Weixiang Zhao, Yulin Hu, Yang Deng, Jiahe Guo, Xingyu Sui, Xinyang Han, An Zhang, Yanyan Zhao, Bing Qin, Tat-Seng Chua, Ting Liu |
| 2025 | ACL | MPO: Multilingual Safety Alignment via Reward Gap Optimization. | Weixiang Zhao, Yulin Hu, Yang Deng, Tongtong Wu, Wenxuan Zhang, Jiahe Guo, An Zhang, Yanyan Zhao, Bing Qin, Tat-Seng Chua, Ting Liu |
| 2025 | AVSS | A Conceptual Approach to Explainable Object and Action Classification. | Stephanie Stacy, Alfredo Gabaldon, Guy Ben-Yosef, Idan Tankel, Marc Tomlinson, Sharon G. Small, Ting Liu, Peter Tu |
| 2025 | COLING | LLMs May Perform MCQA by Selecting the Least Incorrect Option. | Haochun Wang, Sendong Zhao, Zewen Qiang, Nuwa Xi, Bing Qin, Ting Liu |
| 2025 | CVPR | NTClick: Achieving Precise Interactive Segmentation With Noise-tolerant Clicks. | Chenyi Zhang, Ting Liu, Xiaochao Qu, Luoqi Liu, Yao Zhao, Yunchao Wei |
| 2025 | CVPR | EVPGS: Enhanced View Prior Guidance for Splatting-based Extrapolated View Synthesis. | Jiahe Li, Feiyu Wang, Xiaochao Qu, Chengjing Wu, Luoqi Liu, Ting Liu |
| 2025 | CVPR | Efficient Decoupled Feature 3D Gaussian Splatting via Hierarchical Compression. | Zhenqi Dai, Ting Liu, Yanning Zhang |
| 2025 | CVPR | MTADiffusion: Mask Text Alignment Diffusion Model for Object Inpainting. | Jun Huang, Ting Liu, Yihang Wu, Xiaochao Qu, Luoqi Liu, Xiaolin Hu |
| 2025 | CVPR | From Elements to Design: A Layered Approach for Automatic Graphic Design Composition. | Jiawei Lin, Shizhao Sun, Danqing Huang, Ting Liu, Ji Li, Jiang Bian |
| 2025 | CVPR | Hybrid Global-Local Representation with Augmented Spatial Guidance for Zero-Shot Referring Image Segmentation. | Ting Liu, Siyuan Li |
| 2025 | CVPR | 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, Mara 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 |
| 2025 | CVPR | GlyphMastero: A Glyph Encoder for High-Fidelity Scene Text Editing. | Tong Wang, Ting Liu, Xiaochao Qu, Chengjing Wu, Luoqi Liu, Xiaolin Hu |
| 2025 | CVPR | 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 |
| 2025 | CVPR | 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 |
| 2025 | EMNLP | Nullspace Disentanglement for Red Teaming Language Models. | Yi Han, Yuanxing Liu, Weinan Zhang, Ting Liu |
| 2025 | EMNLP | FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging. | Zijian Li, Xiaocheng Feng, Huixin Liu, Yichong Huang, Ting Liu, Bing Qin |
| 2025 | EMNLP | A Survey on LLMs for Story Generation. | Maria Teleki, Vedangi Bengali, Xiangjue Dong, Sai Janjur, Haoran Liu, Tian Liu, Cong Wang, Ting Liu, Yin Zhang, Frank Shipman, James Caverlee |
| 2025 | EMNLP | RAG+: Enhancing Retrieval-Augmented Generation with Application-Aware Reasoning. | Yu Wang, Shiwan Zhao, Zhihu Wang, Ming Fan, Xicheng Zhang, Yubo Zhang, Zhengfan Wang, Heyuan Huang, Ting Liu |
| 2025 | EMNLP | Stimulate the Critical Thinking of LLMs via Debiasing Discussion. | Ruiyu Xiao, Lei Wu, Yuanxing Liu, Weinan Zhang, Ting Liu |
| 2025 | EMNLP | Tool Zero: Training Tool-Augmented LLMs via Pure RL from Scratch. | Yirong Zeng, Xiao Ding, Yutai Hou, Yuxian Wang, Li Du, Juyi Dai, Qiuyang Ding, Duyu Tang, Dandan Tu, Weiwen Liu, Bing Qin, Ting Liu |
| 2025 | EMNLP | iTool: Reinforced Fine-Tuning with Dynamic Deficiency Calibration for Advanced Tool Use. | Yirong Zeng, Xiao Ding, Yuxian Wang, Weiwen Liu, Yutai Hou, Wu Ning, Xu Huang, Duyu Tang, Dandan Tu, Bing Qin, Ting Liu |
| 2025 | EMNLP | AdaSteer: Your Aligned LLM is Inherently an Adaptive Jailbreak Defender. | Weixiang Zhao, Jiahe Guo, Yulin Hu, Yang Deng, An Zhang, Xingyu Sui, Xinyang Han, Yanyan Zhao, Bing Qin, Tat-Seng Chua, Ting Liu |
| 2024 | AAAI | Lyapunov-Stable Deep Equilibrium Models. | Haoyu Chu, Shikui Wei, Ting Liu, Yao Zhao, Yuto Miyatake |
| 2024 | AAAI | LAMM: Label Alignment for Multi-Modal Prompt Learning. | Jingsheng Gao, Jiacheng Ruan, Suncheng Xiang, Zefang Yu, Ke Ji, Mingye Xie, Ting Liu, Yuzhuo Fu |
| 2024 | AAAI | 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 |
| 2024 | AAAI | From Raw Video to Pedagogical Insights: A Unified Framework for Student Behavior Analysis. | Zefang Yu, Mingye Xie, Jingsheng Gao, Ting Liu, Yuzhuo Fu |
| 2024 | ACIIDS | Enhancing Scholarly Paper Recommendation by Modelling Diversity of Research Interests. | Xueli Pan, Shuai Wang, Ting Liu, Jacco van Ossenbruggen, Victor de Boer, Zhisheng Huang |
| 2024 | ACL | Exploring Hybrid Question Answering via Program-based Prompting. | Qi Shi, Han Cui, Haofeng Wang, Qingfu Zhu, Wanxiang Che, Ting Liu |
| 2024 | ACL | Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future. | Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Tao He, Haotian Wang, Weihua Peng, Ming Liu, Bing Qin, Ting Liu |
| 2024 | ACL | Self-Evolving GPT: A Lifelong Autonomous Experiential Learner. | Jinglong Gao, Xiao Ding, Yiming Cui, Jianbai Zhao, Hepeng Wang, Ting Liu, Bing Qin |
| 2024 | ACL | Causal-Guided Active Learning for Debiasing Large Language Models. | Zhouhao Sun, Li Du, Xiao Ding, Yixuan Ma, Yang Zhao, Kaitao Qiu, Ting Liu, Bing Qin |
| 2024 | ACL | AS-ES Learning: Towards efficient CoT learning in small models. | Nuwa Xi, Yuhan Chen, Sendong Zhao, Haochun Wang, GongZhang GongZhang, Bing Qin, Ting Liu |
| 2024 | ACL | Deciphering the Impact of Pretraining Data on Large Language Models through Machine Unlearning. | Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Zhouhao Sun, Shi Jun, Ting Liu, Bing Qin |
| 2024 | AMTA | Evaluation Briefs: Drawing on Translation Studies for Human Evaluation of MT. | Ting Liu, Chi-kiu Lo, Elizabeth Marshman, Rebecca Knowles |
| 2024 | COLING | A Self-verified Method for Exploring Simile Knowledge from Pre-trained Language Models. | Longxuan Ma, Changxin Ke, Shuhan Zhou, Churui Sun, Wei-Nan Zhang, Ting Liu |
| 2024 | COLING | Towards Generalizable and Faithful Logic Reasoning over Natural Language via Resolution Refutation. | Zhouhao Sun, Xiao Ding, Li Du, Bibo Cai, Jinglong Gao, Ting Liu, Bing Qin |
| 2024 | COLING | RU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine Conflict. | Yirong Zeng, Xiao Ding, Yi Zhao, Xiangyu Li, Jie Zhang, Chao Yao, Ting Liu, Bing Qin |
| 2024 | CVPR | 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 Krhenbhl, Liangzhe Yuan |
| 2024 | DATE | Learning to Floorplan like Human Experts via Reinforcement Learning. | Binjie Yan, Lin Xu, Zefang Yu, Mingye Xie, Wei Ran, Jingsheng Gao, Yuzhuo Fu, Ting Liu |
| 2024 | ECCV | 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 |
| 2024 | ECCV | The Second Visual Object Tracking Segmentation VOTS2024 Challenge Results. | Matej Kristan, Jir Matas, Pavel Tokmakov, Michael Felsberg, Luka Cehovin Zajc, Alan Lukezic, Khanh-Tung Tran, Xuan-Son Vu, Johanna Bjrklund, Hyung Jin Chang, Gustavo Fernndez, 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 Sai S. 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 |
| 2024 | ECCV | Open-Vocabulary 3D Semantic Segmentation with Text-to-Image Diffusion Models. | Xiaoyu Zhu, Hao Zhou, Pengfei Xing, Long Zhao, Hao Xu, Junwei Liang, Alexander Hauptmann, Ting Liu, Andrew C. Gallagher |
| 2024 | EMNLP | Aligning Translation-Specific Understanding to General Understanding in Large Language Models. | Yichong Huang, Baohang Li, Xiaocheng Feng, Wenshuai Huo, Chengpeng Fu, Ting Liu, Bing Qin |
| 2024 | EMNLP | MaPPER: Multimodal Prior-guided Parameter Efficient Tuning for Referring Expression Comprehension. | Ting Liu, Zunnan Xu, Yue Hu, Liangtao Shi, Zhiqiang Wang, Quanjun Yin |
| 2024 | EMNLP | Prove Your Point!: Bringing Proof-Enhancement Principles to Argumentative Essay Generation. | Ruiyu Xiao, Lei Wu, Yuhang Gou, Weinan Zhang, Ting Liu |
| 2024 | EMNLP | Length Extrapolation of Transformers: A Survey from the Perspective of Positional Encoding. | Liang Zhao, Xiachong Feng, Xiaocheng Feng, Weihong Zhong, Dongliang Xu, Qing Yang, Hongtao Liu, Bing Qin, Ting Liu |
| 2023 | AAAI | Progressive Neighborhood Aggregation for Semantic Segmentation Refinement. | Ting Liu, Yunchao Wei, Yanning Zhang |
| 2023 | AAAI | Self-Supervised Logic Induction for Explainable Fuzzy Temporal Commonsense Reasoning. | Bibo Cai, Xiao Ding, Zhouhao Sun, Bing Qin, Ting Liu, Baojun Wang, Lifeng Shang |
| 2023 | ACL | Towards Stable Natural Language Understanding via Information Entropy Guided Debiasing. | Li Du, Xiao Ding, Zhouhao Sun, Ting Liu, Bing Qin, Jingshuo Liu |
| 2023 | ACL | Sentence Ordering with a Coherence Verifier. | Sainan Jia, Wei Song, Jiefu Gong, Shijin Wang, Ting Liu |
| 2023 | ACL | I run as fast as a rabbit, can you? A Multilingual Simile Dialogues Datasets. | Longxuan Ma, Weinan Zhang, Shuhan Zhou, Churui Sun, Changxin Ke, Ting Liu |
| 2023 | ACL | NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing. | Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu |
| 2023 | ACL | UniCoRN: Unified Cognitive Signal ReconstructioN bridging cognitive signals and human language. | Nuwa Xi, Sendong Zhao, Haochun Wang, Chi Liu, Bing Qin, Ting Liu |
| 2023 | CGI | Action Recognition via Fine-Tuned CLIP Model and Temporal Transformer. | Xiaoyu Yang, Yuzhuo Fu, Ting Liu |
| 2023 | CVPR | Learning to Generate Image Embeddings with User-Level Differential Privacy. | Zheng Xu, Maxwell D. Collins, Yuxiao Wang, Liviu Panait, Sewoong Oh, Sean Augenstein, Ting Liu, Florian Schroff, H. Brendan McMahan |
| 2023 | EMNLP | Enabling Unsupervised Neural Machine Translation with Word-level Visual Representations. | Chengpeng Fu, Xiaocheng Feng, Yichong Huang, Wenshuai Huo, Hui Wang, Bing Qin, Ting Liu |
| 2023 | EMNLP | Is ChatGPT a Good Causal Reasoner? A Comprehensive Evaluation. | Jinglong Gao, Xiao Ding, Bing Qin, Ting Liu |
| 2023 | EMNLP | Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements. | Yushan Qian, Weinan Zhang, Ting Liu |
| 2023 | EMNLP | Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate. | Kai Xiong, Xiao Ding, Yixin Cao, Ting Liu, Bing Qin |
| 2022 | AAAI | Mitigating Reporting Bias in Semi-supervised Temporal Commonsense Inference with Probabilistic Soft Logic. | Bibo Cai, Xiao Ding, Bowen Chen, Li Du, Ting Liu |
| 2022 | AAAI | 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 |
| 2022 | ACL | CLIP Models are Few-Shot Learners: Empirical Studies on VQA and Visual Entailment. | Haoyu Song, Li Dong, Weinan Zhang, Ting Liu, Furu Wei |
| 2022 | ACL | A Graph Enhanced BERT Model for Event Prediction. | Li Du, Xiao Ding, Yue Zhang, Ting Liu, Bing Qin |
| 2022 | ACL | e-CARE: a New Dataset for Exploring Explainable Causal Reasoning. | Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin |
| 2022 | ACL | DuReader | Le Qi, Shangwen Lv, Hongyu Li, Jing Liu, Yu Zhang, Qiaoqiao She, Hua Wu, Haifeng Wang, Ting Liu |
| 2022 | BMVC | On Temporal Granularity in Self-Supervised Video Representation Learning. | Rui Qian, Yeqing Li, Liangzhe Yuan, Boqing Gong, Ting Liu, Matthew Brown, Serge J. Belongie, Ming-Hsuan Yang, Hartwig Adam, Yin Cui |
| 2022 | COLING | CogBERT: Cognition-Guided Pre-trained Language Models. | Xiao Ding, Bowen Chen, Li Du, Bing Qin, Ting Liu |
| 2022 | COLING | SelF-Eval: Self-supervised Fine-grained Dialogue Evaluation. | Longxuan Ma, Ziyu Zhuang, Weinan Zhang, Mingda Li, Ting Liu |
| 2022 | COLING | Prompt Combines Paraphrase: Teaching Pre-trained Models to Understand Rare Biomedical Words. | Haochun Wang, Chi Liu, Nuwa Xi, Sendong Zhao, Meizhi Ju, Shiwei Zhang, Ziheng Zhang, Yefeng Zheng, Bing Qin, Ting Liu |
| 2022 | CVPR | Multi-Source Uncertainty Mining for Deep Unsupervised Saliency Detection. | Yifan Wang, Wenbo Zhang, Lijun Wang, Ting Liu, Huchuan Lu |
| 2022 | CVPR | Rethinking Illumination for Person Re-Identification: A Unified View. | Suncheng Xiang, Guanjie You, Leqi Li, Mengyuan Guan, Ting Liu, Dahong Qian, Yuzhuo Fu |
| 2022 | CVPR | 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 |
| 2022 | CVPR | 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 |
| 2022 | CVPR | 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 |
| 2022 | ECCV | Adaptive Co-teaching for Unsupervised Monocular Depth Estimation. | Weisong Ren, Lijun Wang, Yongri Piao, Miao Zhang, Huchuan Lu, Ting Liu |
| 2022 | ECCV | 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 |
| 2022 | EMNLP | LEMON: Language-Based Environment Manipulation via Execution-Guided Pre-training. | Qi Shi, Qian Liu, Bei Chen, Yu Zhang, Ting Liu, Jian-Guang Lou |
| 2022 | EMNLP | STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processing. | Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu |
| 2022 | EMNLP | ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks. | Kai Xiong, Xiao Ding, Zhongyang Li, Li Du, Ting Liu, Bing Qin, Yi Zheng, Baoxing Huai |
| 2021 | AAAI | C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot Filling. | Yutai Hou, Sanyuan Chen, Wanxiang Che, Cheng Chen, Ting Liu |
| 2021 | AAAI | Few-shot Learning for Multi-label Intent Detection. | Yutai Hou, Yongkui Lai, Yushan Wu, Wanxiang Che, Ting Liu |
| 2021 | AAAI | 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 |
| 2021 | AAAI | Model Uncertainty Guides Visual Object Tracking. | Lijun Zhou, Antoine Ledent, Qintao Hu, Ting Liu, Jianlin Zhang, Marius Kloft |
| 2021 | ACL | BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data. | Haoyu Song, Yan Wang, Kaiyan Zhang, Wei-Nan Zhang, Ting Liu |
| 2021 | ACL | Learning Event Graph Knowledge for Abductive Reasoning. | Li Du, Xiao Ding, Ting Liu, Bing Qin |
| 2021 | ACL | ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning. | Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin |
| 2021 | ACL | Language Model as an Annotator: Exploring DialoGPT for Dialogue Summarization. | Xiachong Feng, Xiaocheng Feng, Libo Qin, Bing Qin, Ting Liu |
| 2021 | ACL | IFlyEA: A Chinese Essay Assessment System with Automated Rating, Review Generation, and Recommendation. | Jiefu Gong, Xiao Hu, Wei Song, Ruiji Fu, Zhichao Sheng, Bo Zhu, Shijin Wang, Ting Liu |
| 2021 | ACL | Chase: A Large-Scale and Pragmatic Chinese Dataset for Cross-Database Context-Dependent Text-to-SQL. | Jiaqi Guo, Ziliang Si, Yu Wang, Qian Liu, Ming Fan, Jian-Guang Lou, Zijiang Yang, Ting Liu |
| 2021 | ACL | Learning to Bridge Metric Spaces: Few-shot Joint Learning of Intent Detection and Slot Filling. | Yutai Hou, Yongkui Lai, Cheng Chen, Wanxiang Che, Ting Liu |
| 2021 | ACL | GL-GIN: Fast and Accurate Non-Autoregressive Model for Joint Multiple Intent Detection and Slot Filling. | Libo Qin, Fuxuan Wei, Tianbao Xie, Xiao Xu, Wanxiang Che, Ting Liu |
| 2021 | ACL | Benchmarking Robustness of Machine Reading Comprehension Models. | Chenglei Si, Ziqing Yang, Yiming Cui, Wentao Ma, Ting Liu, Shijin Wang |
| 2021 | ACL | Verb Metaphor Detection via Contextual Relation Learning. | Wei Song, Shuhui Zhou, Ruiji Fu, Ting Liu, Lizhen Liu |
| 2021 | ACL | A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial Examples. | Yuxuan Wang, Wanxiang Che, Ivan Titov, Shay B. Cohen, Zhilin Lei, Ting Liu |
| 2021 | ACL | Dynamic Connected Networks for Chinese Spelling Check. | Baoxin Wang, Wanxiang Che, Dayong Wu, Shijin Wang, Guoping Hu, Ting Liu |
| 2021 | ACL | What Did You Refer to? Evaluating Co-References in Dialogue. | Weinan Zhang, Yue Zhang, Hanlin Tang, Zhengyu Zhao, Caihai Zhu, Ting Liu |
| 2021 | ACL | Consistency Regularization for Cross-Lingual Fine-Tuning. | Bo Zheng, Li Dong, Shaohan Huang, Wenhui Wang, Zewen Chi, Saksham Singhal, Wanxiang Che, Ting Liu, Xia Song, Furu Wei |
| 2021 | ACL | Neural Stylistic Response Generation with Disentangled Latent Variables. | Qingfu Zhu, Wei-Nan Zhang, Ting Liu, William Yang Wang |
| 2021 | ASPDAC | A Hierarchical Assessment Strategy on Soft Error Propagation in Deep Learning Controller. | Ting Liu, Yuzhuo Fu, Yan Zhang, Bin Shi |
| 2021 | CVPR | 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 N. Metaxas, Ting Liu |
| 2021 | EMNLP | N-LTP: An Open-source Neural Language Technology Platform for Chinese. | Wanxiang Che, Yunlong Feng, Libo Qin, Ting Liu |
| 2021 | EMNLP | Weakly Supervised Semantic Parsing by Learning from Mistakes. | Jiaqi Guo, Jian-Guang Lou, Ting Liu, Dongmei Zhang |
| 2021 | EMNLP | Improving Abstractive Dialogue Summarization with Hierarchical Pretraining and Topic Segment. | Mengnan Qi, Hao Liu, Yuzhuo Fu, Ting Liu |
| 2021 | EMNLP | Neural Natural Logic Inference for Interpretable Question Answering. | Jihao Shi, Xiao Ding, Li Du, Ting Liu, Bing Qin |
| 2021 | EMNLP | Logic-level Evidence Retrieval and Graph-based Verification Network for Table-based Fact Verification. | Qi Shi, Yu Zhang, Qingyu Yin, Ting Liu |
| 2020 | AAAI | Discriminative Sentence Modeling for Story Ending Prediction. | Yiming Cui, Wanxiang Che, Wei-Nan Zhang, Ting Liu, Shijin Wang, Guoping Hu |
| 2020 | AAAI | 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 |
| 2020 | AAAI | 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 |
| 2020 | AAAI | Understanding Medical Conversations with Scattered Keyword Attention and Weak Supervision from Responses. | Xiaoming Shi, Haifeng Hu, Wanxiang Che, Zhongqian Sun, Ting Liu, Junzhou Huang |
| 2020 | AAAI | Generating Persona Consistent Dialogues by Exploiting Natural Language Inference. | Haoyu Song, Wei-Nan Zhang, Jingwen Hu, Ting Liu |
| 2020 | AAAI | Multi-Task Self-Supervised Learning for Disfluency Detection. | Shaolei Wang, Wanxiang Che, Qi Liu, Pengda Qin, Ting Liu, William Yang Wang |
| 2020 | ACL | How Does Selective Mechanism Improve Self-Attention Networks? | Xinwei Geng, Longyue Wang, Xing Wang, Bing Qin, Ting Liu, Zhaopeng Tu |
| 2020 | ACL | Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network. | Yutai Hou, Wanxiang Che, Yongkui Lai, Zhihan Zhou, Yijia Liu, Han Liu, Ting Liu |
| 2020 | ACL | Towards Conversational Recommendation over Multi-Type Dialogs. | Zeming Liu, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che, Ting Liu |
| 2020 | ACL | Slot-consistent NLG for Task-oriented Dialogue Systems with Iterative Rectification Network. | Yangming Li, Kaisheng Yao, Libo Qin, Wanxiang Che, Xiaolong Li, Ting Liu |
| 2020 | ACL | Conversational Word Embedding for Retrieval-Based Dialog System. | Wentao Ma, Yiming Cui, Ting Liu, Dong Wang, Shijin Wang, Guoping Hu |
| 2020 | ACL | Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog. | Libo Qin, Xiao Xu, Wanxiang Che, Yue Zhang, Ting Liu |
| 2020 | ACL | Generate, Delete and Rewrite: A Three-Stage Framework for Improving Persona Consistency of Dialogue Generation. | Haoyu Song, Yan Wang, Weinan Zhang, Xiaojiang Liu, Ting Liu |
| 2020 | ACL | Conversational Graph Grounded Policy Learning for Open-Domain Conversation Generation. | Jun Xu, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che, Ting Liu |
| 2020 | ACL | TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing. | Ziqing Yang, Yiming Cui, Zhipeng Chen, Wanxiang Che, Ting Liu, Shijin Wang, Guoping Hu |
| 2020 | ACL | Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension. | Bo Zheng, Haoyang Wen, Yaobo Liang, Nan Duan, Wanxiang Che, Daxin Jiang, Ming Zhou, Ting Liu |
| 2020 | COLING | A Sentence Cloze Dataset for Chinese Machine Reading Comprehension. | Yiming Cui, Ting Liu, Ziqing Yang, Zhipeng Chen, Wentao Ma, Wanxiang Che, Shijin Wang, Guoping Hu |
| 2020 | COLING | TableGPT: Few-shot Table-to-Text Generation with Table Structure Reconstruction and Content Matching. | Heng Gong, Yawei Sun, Xiaocheng Feng, Bing Qin, Wei Bi, Xiaojiang Liu, Ting Liu |
| 2020 | COLING | Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure. | Jiaqi Li, Ming Liu, Min-Yen Kan, Zihao Zheng, Zekun Wang, Wenqiang Lei, Ting Liu, Bing Qin |
| 2020 | COLING | CharBERT: Character-aware Pre-trained Language Model. | Wentao Ma, Yiming Cui, Chenglei Si, Ting Liu, Shijin Wang, Guoping Hu |
| 2020 | COLING | Learn to Combine Linguistic and Symbolic Information for Table-based Fact Verification. | Qi Shi, Yu Zhang, Qingyu Yin, Ting Liu |
| 2020 | CoNLL | HIT-SCIR at MRP 2020: Transition-based Parser and Iterative Inference Parser. | Longxu Dou, Yunlong Feng, Yuqiu Ji, Wanxiang Che, Ting Liu |
| 2020 | CVPR | Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation. | Bowen Cheng, Maxwell D. Collins, Yukun Zhu, Ting Liu, Thomas S. Huang, Hartwig Adam, Liang-Chieh Chen |
| 2020 | ECCV | View-Invariant Probabilistic Embedding for Human Pose. | Jennifer J. Sun, Jiaping Zhao, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Ting Liu |
| 2020 | EMNLP | Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting. | Sanyuan Chen, Yutai Hou, Yiming Cui, Wanxiang Che, Ting Liu, Xiangzhan Yu |
| 2020 | EMNLP | Revisiting Pre-Trained Models for Chinese Natural Language Processing. | Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu |
| 2020 | EMNLP | CodeBERT: A Pre-Trained Model for Programming and Natural Languages. | Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou |
| 2020 | EMNLP | Enhancing Content Planning for Table-to-Text Generation with Data Understanding and Verification. | Heng Gong, Wei Bi, Xiaocheng Feng, Bing Qin, Xiaojiang Liu, Ting Liu |
| 2020 | EMNLP | Benchmarking Meaning Representations in Neural Semantic Parsing. | Jiaqi Guo, Qian Liu, Jian-Guang Lou, Zhenwen Li, Xueqing Liu, Tao Xie, Ting Liu |
| 2020 | EMNLP | A Compare Aggregate Transformer for Understanding Document-grounded Dialogue. | Longxuan Ma, Wei-Nan Zhang, Runxin Sun, Ting Liu |
| 2020 | EMNLP | Towards Fine-Grained Transfer: An Adaptive Graph-Interactive Framework for Joint Multiple Intent Detection and Slot Filling. | Libo Qin, Xiao Xu, Wanxiang Che, Ting Liu |
| 2020 | EMNLP | Is Graph Structure Necessary for Multi-hop Question Answering? | Nan Shao, Yiming Cui, Ting Liu, Shijin Wang, Guoping Hu |
| 2020 | EMNLP | Discourse Self-Attention for Discourse Element Identification in Argumentative Student Essays. | Wei Song, Ziyao Song, Ruiji Fu, Lizhen Liu, Miaomiao Cheng, Ting Liu |
| 2020 | EMNLP | Profile Consistency Identification for Open-domain Dialogue Agents. | Haoyu Song, Yan Wang, Wei-Nan Zhang, Zhengyu Zhao, Ting Liu, Xiaojiang Liu |
| 2020 | EMNLP | Multi-Stage Pre-training for Automated Chinese Essay Scoring. | Wei Song, Kai Zhang, Ruiji Fu, Lizhen Liu, Ting Liu, Miaomiao Cheng |
| 2020 | EMNLP | Combining Self-Training and Self-Supervised Learning for Unsupervised Disfluency Detection. | Shaolei Wang, Zhongyuan Wang, Wanxiang Che, Ting Liu |
| 2019 | AAAI | Gaussian Transformer: A Lightweight Approach for Natural Language Inference. | Maosheng Guo, Yu Zhang, Ting Liu |
| 2019 | AAAI | Devil in the Details: Towards Accurate Single and Multiple Human Parsing. | Tao Ruan, Ting Liu, Zilong Huang, Yunchao Wei, Shikui Wei, Yao Zhao |
| 2019 | AAAI | A Neural Network Approach to Verb Phrase Ellipsis Resolution. | Weinan Zhang, Yue Zhang, Yuanxing Liu, Donglin Di, Ting Liu |
| 2019 | AAAI | A Neural Multi-Task Learning Framework to Jointly Model Medical Named Entity Recognition and Normalization. | Sendong Zhao, Ting Liu, Sicheng Zhao, Fei Wang |
| 2019 | ACL | Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation. | Jiaqi Guo, Zecheng Zhan, Yan Gao, Yan Xiao, Jian-Guang Lou, Ting Liu, Dongmei Zhang |
| 2019 | ACL | Retrieval-Enhanced Adversarial Training for Neural Response Generation. | Qingfu Zhu, Lei Cui, Weinan Zhang, Furu Wei, Ting Liu |
| 2019 | ACL | Learning to Ask Unanswerable Questions for Machine Reading Comprehension. | Haichao Zhu, Li Dong, Furu Wei, Wenhui Wang, Bing Qin, Ting Liu |
| 2019 | CoNLL | HIT-SCIR at MRP 2019: A Unified Pipeline for Meaning Representation Parsing via Efficient Training and Effective Encoding. | Wanxiang Che, Longxu Dou, Yang Xu, Yuxuan Wang, Yijia Liu, Ting Liu |
| 2019 | CoNLL | TripleNet: Triple Attention Network for Multi-Turn Response Selection in Retrieval-Based Chatbots. | Wentao Ma, Yiming Cui, Nan Shao, Su He, Weinan Zhang, Ting Liu, Shijin Wang, Guoping Hu |
| 2019 | CVPR | 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 |
| 2019 | EMNLP | Cross-Lingual Machine Reading Comprehension. | Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang, Guoping Hu |
| 2019 | EMNLP | A Span-Extraction Dataset for Chinese Machine Reading Comprehension. | Yiming Cui, Ting Liu, Wanxiang Che, Li Xiao, Zhipeng Chen, Wentao Ma, Shijin Wang, Guoping Hu |
| 2019 | EMNLP | Event Representation Learning Enhanced with External Commonsense Knowledge. | Xiao Ding, Kuo Liao, Ting Liu, Zhongyang Li, Junwen Duan |
| 2019 | EMNLP | Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder. | Li Du, Xiao Ding, Ting Liu, Zhongyang Li |
| 2019 | EMNLP | Table-to-Text Generation with Effective Hierarchical Encoder on Three Dimensions (Row, Column and Time). | Heng Gong, Xiaocheng Feng, Bing Qin, Ting Liu |
| 2019 | EMNLP | Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text. | Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang |
| 2019 | EMNLP | A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding. | Libo Qin, Wanxiang Che, Yangming Li, Haoyang Wen, Ting Liu |
| 2019 | EMNLP | Entity-Consistent End-to-end Task-Oriented Dialogue System with KB Retriever. | Libo Qin, Yijia Liu, Wanxiang Che, Haoyang Wen, Yangming Li, Ting Liu |
| 2019 | EMNLP | Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing. | Yuxuan Wang, Wanxiang Che, Jiang Guo, Yijia Liu, Ting Liu |
| 2019 | EMNLP | IFlyLegal: A Chinese Legal System for Consultation, Law Searching, and Document Analysis. | Ziyue Wang, Baoxin Wang, Xingyi Duan, Dayong Wu, Shijin Wang, Guoping Hu, Ting Liu |
| 2018 | AAAI | A Neural Transition-Based Approach for Semantic Dependency Graph Parsing. | Yuxuan Wang, Wanxiang Che, Jiang Guo, Ting Liu |
| 2018 | AAAI | Exploring Implicit Feedback for Open Domain Conversation Generation. | Weinan Zhang, Lingzhi Li, Dongyan Cao, Ting Liu |
| 2018 | AAAI | Generating Regular Expressions from Natural Language Specifications: Are We There Yet? | Zexuan Zhong, Jiaqi Guo, Wei Yang, Tao Xie, Jian-Guang Lou, Ting Liu, Dongmei Zhang |
| 2018 | AAAI | Hierarchical Attention Flow for Multiple-Choice Reading Comprehension. | Haichao Zhu, Furu Wei, Bing Qin, Ting Liu |
| 2018 | ACL | Distilling Knowledge for Search-based Structured Prediction. | Yijia Liu, Wanxiang Che, Huaipeng Zhao, Bing Qin, Ting Liu |
| 2018 | ACL | Deep Reinforcement Learning for Chinese Zero Pronoun Resolution. | Qingyu Yin, Yu Zhang, Weinan Zhang, Ting Liu, William Yang Wang |
| 2018 | ACL | Semantic Parsing with Syntax- and Table-Aware SQL Generation. | Yibo Sun, Duyu Tang, Nan Duan, Jianshu Ji, Guihong Cao, Xiaocheng Feng, Bing Qin, Ting Liu, Ming Zhou |
| 2018 | COLING | Learning Target-Specific Representations of Financial News Documents For Cumulative Abnormal Return Prediction. | Junwen Duan, Yue Zhang, Xiao Ding, Ching-Yun Chang, Ting Liu |
| 2018 | COLING | Sequence-to-Sequence Data Augmentation for Dialogue Language Understanding. | Yutai Hou, Yijia Liu, Wanxiang Che, Ting Liu |
| 2018 | COLING | Generating Reasonable and Diversified Story Ending Using Sequence to Sequence Model with Adversarial Training. | Zhongyang Li, Xiao Ding, Ting Liu |
| 2018 | COLING | Sequence-to-Sequence Learning for Task-oriented Dialogue with Dialogue State Representation. | Haoyang Wen, Yijia Liu, Wanxiang Che, Libo Qin, Ting Liu |
| 2018 | COLING | Zero Pronoun Resolution with Attention-based Neural Network. | Qingyu Yin, Yu Zhang, Weinan Zhang, Ting Liu, William Yang Wang |
| 2018 | COLING | Context-Sensitive Generation of Open-Domain Conversational Responses. | Weinan Zhang, Yiming Cui, Yifa Wang, Qingfu Zhu, Lingzhi Li, Lianqiang Zhou, Ting Liu |
| 2018 | COMPSAC | Test Case Prioritization Based on Method Call Sequences. | Jianlei Chi, Yu Qu, Qinghua Zheng, Zijiang Yang, Wuxia Jin, Di Cui, Ting Liu |
| 2018 | COMPSAC | Android Malware Detector Exploiting Convolutional Neural Network and Adaptive Classifier Selection. | Yangxu Jin, Ting Liu, Ancheng He, Yu Qu, Jianlei Chi |
| 2018 | CoNLL | Towards Better UD Parsing: Deep Contextualized Word Embeddings, Ensemble, and Treebank Concatenation. | Wanxiang Che, Yijia Liu, Yuxuan Wang, Bo Zheng, Ting Liu |
| 2018 | CVPR | Weakly Supervised Action Localization by Sparse Temporal Pooling Network. | Phuc Nguyen, Ting Liu, Gautam Prasad, Bohyung Han |
| 2018 | EMNLP | Adaptive Multi-pass Decoder for Neural Machine Translation. | Xinwei Geng, Xiaocheng Feng, Bing Qin, Ting Liu |
| 2018 | EMNLP | An AMR Aligner Tuned by Transition-based Parser. | Yijia Liu, Wanxiang Che, Bo Zheng, Bing Qin, Ting Liu |
| 2018 | EMNLP | Neural Multitask Learning for Simile Recognition. | Lizhen Liu, Xiao Hu, Wei Song, Ruiji Fu, Ting Liu, Guoping Hu |
| 2017 | ACL | Attention-over-Attention Neural Networks for Reading Comprehension. | Yiming Cui, Zhipeng Chen, Si Wei, Shijin Wang, Ting Liu, Guoping Hu |
| 2017 | ACL | Generating and Exploiting Large-scale Pseudo Training Data for Zero Pronoun Resolution. | Ting Liu, Yiming Cui, Qingyu Yin, Weinan Zhang, Shijin Wang, Guoping Hu |
| 2017 | ACL | Discourse Mode Identification in Essays. | Wei Song, Dong Wang, Ruiji Fu, Lizhen Liu, Ting Liu, Guoping Hu |
| 2017 | ACL | Benben: A Chinese Intelligent Conversational Robot. | Weinan Zhang, Ting Liu, Bing Qin, Yu Zhang, Wanxiang Che, Yanyan Zhao, Xiao Ding |
| 2017 | CoNLL | The HIT-SCIR System for End-to-End Parsing of Universal Dependencies. | Wanxiang Che, Jiang Guo, Yuxuan Wang, Bo Zheng, Huaipeng Zhao, Yang Liu, Dechuan Teng, Ting Liu |
| 2017 | EMNLP | Transition-Based Disfluency Detection using LSTMs. | Shaolei Wang, Wanxiang Che, Yue Zhang, Meishan Zhang, Ting Liu |
| 2017 | EMNLP | Chinese Zero Pronoun Resolution with Deep Memory Network. | Qingyu Yin, Yu Zhang, Weinan Zhang, Ting Liu |
| 2016 | AAAI | A Representation Learning Framework for Multi-Source Transfer Parsing. | Jiang Guo, Wanxiang Che, David Yarowsky, Haifeng Wang, Ting Liu |
| 2016 | ACL | A Language-Independent Neural Network for Event Detection. | Xiaocheng Feng, Lifu Huang, Duyu Tang, Heng Ji, Bing Qin, Ting Liu |
| 2016 | COLING | Consensus Attention-based Neural Networks for Chinese Reading Comprehension. | Yiming Cui, Ting Liu, Zhipeng Chen, Shijin Wang, Guoping Hu |
| 2016 | COLING | Knowledge-Driven Event Embedding for Stock Prediction. | Xiao Ding, Yue Zhang, Ting Liu, Junwen Duan |
| 2016 | COLING | English-Chinese Knowledge Base Translation with Neural Network. | Xiaocheng Feng, Duyu Tang, Bing Qin, Ting Liu |
| 2016 | COLING | A Universal Framework for Inductive Transfer Parsing across Multi-typed Treebanks. | Jiang Guo, Wanxiang Che, Haifeng Wang, Ting Liu |
| 2016 | COLING | A Unified Architecture for Semantic Role Labeling and Relation Classification. | Jiang Guo, Wanxiang Che, Haifeng Wang, Ting Liu, Jun Xu |
| 2016 | COLING | Hashtag Recommendation with Topical Attention-Based LSTM. | Yang Li, Ting Liu, Jing Jiang, Liang Zhang |
| 2016 | COLING | Anecdote Recognition and Recommendation. | Wei Song, Ruiji Fu, Lizhen Liu, Hanshi Wang, Ting Liu |
| 2016 | COLING | Learning to Identify Sentence Parallelism in Student Essays. | Wei Song, Tong Liu, Ruiji Fu, Lizhen Liu, Hanshi Wang, Ting Liu |
| 2016 | COLING | Effective LSTMs for Target-Dependent Sentiment Classification. | Duyu Tang, Bing Qin, Xiaocheng Feng, Ting Liu |
| 2016 | COLING | A Neural Attention Model for Disfluency Detection. | Shaolei Wang, Wanxiang Che, Ting Liu |
| 2016 | CVPR | 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 |
| 2016 | ECCV | SSHMT: Semi-supervised Hierarchical Merge Tree for Electron Microscopy Image Segmentation. | Ting Liu, Miaomiao Zhang, Mehran Javanmardi, Nisha Ramesh, Tolga Tasdizen |
| 2016 | EMNLP | Aspect Level Sentiment Classification with Deep Memory Network. | Duyu Tang, Bing Qin, Ting Liu |
| 2015 | AAAI | Mining User Consumption Intention from Social Media Using Domain Adaptive Convolutional Neural Network. | Xiao Ding, Ting Liu, Junwen Duan, Jian-Yun Nie |
| 2015 | AAAI | Exploring Key Concept Paraphrasing Based on Pivot Language Translation for Question Retrieval. | Weinan Zhang, Zhaoyan Ming, Yu Zhang, Ting Liu, Tat-Seng Chua |
| 2015 | ACL | Cross-lingual Dependency Parsing Based on Distributed Representations. | Jiang Guo, Wanxiang Che, David Yarowsky, Haifeng Wang, Ting Liu |
| 2015 | ACL | Learning Semantic Representations of Users and Products for Document Level Sentiment Classification. | Duyu Tang, Bing Qin, Ting Liu |
| 2015 | ACL | Encoding Distributional Semantics into Triple-Based Knowledge Ranking for Document Enrichment. | Muyu Zhang, Bing Qin, Mao Zheng, Graeme Hirst, Ting Liu |
| 2015 | CVPR | Real-time part-based visual tracking via adaptive correlation filters. | Ting Liu, Gang Wang, Qingxiong Yang |
| 2015 | EMNLP | Discourse Element Identification in Student Essays based on Global and Local Cohesion. | Wei Song, Ruiji Fu, Lizhen Liu, Ting Liu |
| 2015 | EMNLP | Document Modeling with Gated Recurrent Neural Network for Sentiment Classification. | Duyu Tang, Bing Qin, Ting Liu |
| 2014 | ACL | Learning Semantic Hierarchies via Word Embeddings. | Ruiji Fu, Jiang Guo, Bing Qin, Wanxiang Che, Haifeng Wang, Ting Liu |
| 2014 | ACL | Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification. | Duyu Tang, Furu Wei, Nan Yang, Ming Zhou, Ting Liu, Bing Qin |
| 2014 | ACL | Character-Level Chinese Dependency Parsing. | Meishan Zhang, Yue Zhang, Wanxiang Che, Ting Liu |
| 2014 | ACL | Syntactic Processing Using Global Discriminative Learning and Beam-Search Decoding. | Yue Zhang, Meishan Zhang, Ting Liu |
| 2014 | CICLING | A Semantics Oriented Grammar for Chinese Treebanking. | Meishan Zhang, Yue Zhang, Wanxiang Che, Ting Liu |
| 2014 | COLING | Learning Sense-specific Word Embeddings By Exploiting Bilingual Resources. | Jiang Guo, Wanxiang Che, Haifeng Wang, Ting Liu |
| 2014 | COLING | Building Large-Scale Twitter-Specific Sentiment Lexicon : A Representation Learning Approach. | Duyu Tang, Furu Wei, Bing Qin, Ming Zhou, Ting Liu |
| 2014 | COLING | Jointly or Separately: Which is Better for Parsing Heterogeneous Dependencies? | Meishan Zhang, Wanxiang Che, Yanqiu Shao, Ting Liu |
| 2014 | COLING | Triple based Background Knowledge Ranking for Document Enrichment. | Muyu Zhang, Bing Qin, Ting Liu, Mao Zheng |
| 2014 | COLING | Sentence Compression for Target-Polarity Word Collocation Extraction. | Yanyan Zhao, Wanxiang Che, Honglei Guo, Bing Qin, Zhong Su, Ting Liu |
| 2014 | EACL | Type-Supervised Domain Adaptation for Joint Segmentation and POS-Tagging. | Meishan Zhang, Yue Zhang, Wanxiang Che, Ting Liu |
| 2014 | EMNLP | Using Structured Events to Predict Stock Price Movement: An Empirical Investigation. | Xiao Ding, Yue Zhang, Ting Liu, Junwen Duan |
| 2014 | EMNLP | Revisiting Embedding Features for Simple Semi-supervised Learning. | Jiang Guo, Wanxiang Che, Haifeng Wang, Ting Liu |
| 2014 | EMNLP | Transformation from Discontinuous to Continuous Word Alignment Improves Translation Quality. | Zhongjun He, Hua Wu, Haifeng Wang, Ting Liu |
| 2014 | EMNLP | Domain Adaptation for CRF-based Chinese Word Segmentation using Free Annotations. | Yijia Liu, Yue Zhang, Wanxiang Che, Ting Liu, Fan Wu |
| 2014 | EMNLP | A Joint Segmentation and Classification Framework for Sentiment Analysis. | Duyu Tang, Furu Wei, Bing Qin, Li Dong, Ting Liu, Ming Zhou |
| 2014 | EMNLP | Improve Statistical Machine Translation with Context-Sensitive Bilingual Semantic Embedding Model. | Haiyang Wu, Daxiang Dong, Xiaoguang Hu, Dianhai Yu, Wei He, Hua Wu, Haifeng Wang, Ting Liu |
| 2013 | ACL | Chinese Parsing Exploiting Characters. | Meishan Zhang, Yue Zhang, Wanxiang Che, Ting Liu |
| 2013 | EMNLP | Improving Web Search Ranking by Incorporating Structured Annotation of Queries. | Xiao Ding, Zhicheng Dou, Bing Qin, Ting Liu, Ji-Rong Wen |
| 2013 | EMNLP | Exploiting Multiple Sources for Open-Domain Hypernym Discovery. | Ruiji Fu, Bing Qin, Ting Liu |
| 2013 | EMNLP | Microblog Entity Linking by Leveraging Extra Posts. | Yuhang Guo, Bing Qin, Ting Liu, Sheng Li |
| 2012 | ACL | A Comparison of Chinese Parsers for Stanford Dependencies. | Wanxiang Che, Valentin I. Spitkovsky, Ting Liu |
| 2012 | ACL | Improve SMT Quality with Automatically Extracted Paraphrase Rules. | Wei He, Hua Wu, Haifeng Wang, Ting Liu |
| 2012 | ACL | Exploiting Multiple Treebanks for Parsing with Quasi-synchronous Grammars. | Zhenghua Li, Ting Liu, Wanxiang Che |
| 2012 | COLING | A Separately Passive-Aggressive Training Algorithm for Joint POS Tagging and Dependency Parsing. | Zhenghua Li, Min Zhang, Wanxiang Che, Ting Liu |
| 2012 | COLING | Modeling Leadership and Influence in Multi-party Online Discourse. | Tomek Strzalkowski, Samira Shaikh, Ting Liu, George Aaron Broadwell, Jennifer Stromer-Galley, Sarah M. Taylor, Umit Boz, Veena Ravishankar, Xiaoai Ren |
| 2012 | COLING | Stacking Heterogeneous Joint Models of Chinese POS Tagging and Dependency Parsing. | Meishan Zhang, Wanxiang Che, Ting Liu, Zhenghua Li |
| 2012 | COLING | The Use of Dependency Relation Graph to Enhance the Term Weighting in Question Retrieval. | Weinan Zhang, Zhaoyan Ming, Yu Zhang, Liqiang Nie, Ting Liu, Tat-Seng Chua |
| 2012 | COLING | User Behaviors Lend a Helping Hand: Learning Paraphrase Query Patterns from Search Log Sessions. | Shiqi Zhao, Haifeng Wang, Ting Liu |
| 2012 | EACL | Bootstrapping Events and Relations from Text. | Ting Liu, Tomek Strzalkowski |
| 2012 | EMNLP | Collocation Polarity Disambiguation Using Web-based Pseudo Contexts. | Yanyan Zhao, Bing Qin, Ting Liu |
| 2011 | AAAI | Modeling Socio-Cultural Phenomena in Online Multi-Party Discourse. | Tomek Strzalkowski, George Aaron Broadwell, Jennifer Stromer-Galley, Samira Shaikh, Ting Liu, Sarah M. Taylor |
| 2011 | ACL | Reordering with Source Language Collocations. | Zhanyi Liu, Haifeng Wang, Hua Wu, Ting Liu, Sheng Li |
| 2011 | EMNLP | Joint Models for Chinese POS Tagging and Dependency Parsing. | Zhenghua Li, Min Zhang, Wanxiang Che, Ting Liu, Wenliang Chen, Haizhou Li |
| 2010 | COLING | Jointly Modeling WSD and SRL with Markov Logic. | Wanxiang Che, Ting Liu |
| 2010 | COLING | LTP: A Chinese Language Technology Platform. | Wanxiang Che, Zhenghua Li, Ting Liu |
| 2010 | COLING | Bridging Topic Modeling and Personalized Search. | Wei Song, Yu Zhang, Ting Liu, Sheng Li |
| 2010 | COLING | Paraphrasing with Search Engine Query Logs. | Shiqi Zhao, Haifeng Wang, Ting Liu |
| 2010 | COLING | Leveraging Multiple MT Engines for Paraphrase Generation. | Shiqi Zhao, Haifeng Wang, Xiang Lan, Ting Liu |
| 2009 | ACL | Dependency Based Chinese Sentence Realization. | Wei He, Haifeng Wang, Yuqing Guo, Ting Liu |
| 2009 | ACL | Application-driven Statistical Paraphrase Generation. | Shiqi Zhao, Xiang Lan, Ting Liu, Sheng Li |
| 2009 | CoNLL | Multilingual Dependency-based Syntactic and Semantic Parsing. | Wanxiang Che, Zhenghua Li, Yongqiang Li, Yuhang Guo, Bing Qin, Ting Liu |
| 2008 | ACL | An Entity-Mention Model for Coreference Resolution with Inductive Logic Programming. | Xiaofeng Yang, Jian Su, Jun Lang, Chew Lim Tan, Ting Liu, Sheng Li |
| 2008 | ACL | Combining Multiple Resources to Improve SMT-based Paraphrasing Model. | Shiqi Zhao, Cheng Niu, Ming Zhou, Ting Liu, Sheng Li |
| 2008 | ACL | Pivot Approach for Extracting Paraphrase Patterns from Bilingual Corpora. | Shiqi Zhao, Haifeng Wang, Ting Liu, Sheng Li |
| 2008 | COLING | Investigating the Portability of Corpus-Derived Cue Phrases for Dialogue Act Classification. | Nick Webb, Ting Liu |
| 2008 | CoNLL | A Cascaded Syntactic and Semantic Dependency Parsing System. | Wanxiang Che, Zhenghua Li, Yuxuan Hu, Yongqiang Li, Bing Qin, Ting Liu, Sheng Li |
| 2007 | ACL | A Grammar-driven Convolution Tree Kernel for Semantic Role Classification. | Min Zhang, Wanxiang Che, AiTi Aw, Chew Lim Tan, Guodong Zhou, Ting Liu, Sheng Li |
| 2007 | CIS | Generalized Synchronization Theorem for Undirectional Discrete Systems with Application in Encryption Scheme. | Ye Ji, Ting Liu, Lequan Min, Geng Zhao, Xiaohong Qin |
| 2007 | CIS | Generalized Synchronization Theorem for Non-Autonomous Differential Equation with Application in Encryption Scheme. | Ting Liu, Ye Ji, Lequan Min, Geng Zhao, Xiaohong Qin |
| 2006 | ACL | A Hybrid Convolution Tree Kernel for Semantic Role Labeling. | Wanxiang Che, Min Zhang, Ting Liu, Sheng Li |
| 2006 | ACL | An Equivalent Pseudoword Solution to Chinese Word Sense Disambiguation. | Zhimao Lu, Haifeng Wang, Jian-Min Yao, Ting Liu, Sheng Li |
| 2006 | CoNLL | Dependency Parsing Based on Dynamic Local Optimization. | Ting Liu, Jinshan Ma, Huijia Zhu, Sheng Li |
| 2005 | ACII | Modifying Spectral Envelope to Synthetically Adjust Voice Quality and Articulation Parameters for Emotional Speech Synthesis. | Yanqiu Shao, Zhuoran Wang, Jiqing Han, Ting Liu |
| 2005 | CoNLL | Semantic Role Labeling System Using Maximum Entropy Classifier. | Ting Liu, Wanxiang Che, Sheng Li, Yuxuan Hu, Huaijun Liu |
| 2004 | COLING | HITIQA: Towards Analytical Question Answering. | Sharon G. Small, Tomek Strzalkowski, Ting Liu, Sean Ryan, Robert Salkin, Nobuyuki Shimizu, Paul B. Kantor, Diane Kelly, Robert Rittman, Nina Wacholder |
| 2000 | ACL | PENS: A Machine-aided English Writing System for Chinese Users. | Ting Liu, Ming Zhou, Jianfeng Gao, Endong Xun, Changning Huang |