Ting Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
508
Venues
52
Active years
2019–2026
Best venue rank
A*
Where they publish
- A*ACL66 papers
- A*EMNLP50 papers
- A*AAAI33 papers
- A*CVPR20 papers
- MulticonferenceICASSP14 papers
- BCOLING12 papers
- A*ICSE11 papers
- A*ECCV6 papers
- A*ICCV5 papers
- A*IJCAI5 papers
- CIGARSS5 papers
- A*ICML4 papers
- AMICCAI4 papers
- A*INFOCOM3 papers
- CISCAS3 papers
- A*ICLR3 papers
- CFIE3 papers
- AISSTA3 papers
- BCoNLL3 papers
- BIJCNN2 papers
- BMASS2 papers
- ANAACL2 papers
- BVTC2 papers
- NationalHCI2 papers
- CISNN2 papers
- AISSRE2 papers
- BMMM2 papers
- BPacificVis2 papers
- BPIMRC2 papers
- A*WWW2 papers
- BICONIP2 papers
- BGLOBECOM2 papers
- BICIP2 papers
- BEuroPar1 paper
- BPAKDD1 paper
- A*SIGCOMM1 paper
- BAVSS1 paper
- ARAID1 paper
- BACIIDS1 paper
- NationalAMTA1 paper
- ADATE1 paper
- BICPR1 paper
- NationalNSDI1 paper
- AWACV1 paper
- CCGI1 paper
- BTechDebt1 paper
- ABMVC1 paper
- CISCC1 paper
- CISNCC1 paper
- BASPDAC1 paper
- AICCAD1 paper
- AMSR1 paper
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 |
| 2026 | EuroPar | Moirai: Dependency-Impact-Based Communication Scheduling for Multi-job Distributed Deep Learning Cluster. | Jingbin Yang, Ting Liu, Jinglei Pei, Qinghua Wu, Hongtao Guan |
| 2026 | INFOCOM | Spectral Efficiency Analysis for IRS-Assisted mmWave Massive MISO Systems with Mixed-Resolution ADCs. | Weiqiang Tan, Pengling Li, Maobin Tang, Ting Liu, Xiyuan Chen, Chunguo Li |
| 2026 | ISCAS | GenFall: A Configurable Fall Dataset Generated via Text-to-Motion Models for Wearable Fall Detection. | Zhipeng Guo, Xiafan Gu, Ting Liu, Eva Guttmann-Flury, Jiajun Yuan |
| 2026 | ISCAS | Model-Free Predictive Current Control for PMSM Drives Using Extended State Observer. | Ting Liu, Shing-Chow Chan, H. C. Wu |
| 2026 | ISCAS | Model-Free Predictive Current Control of 2-Level Voltage Source Inverter via Robust Load Estimation in Impulsive Outliers. | Xinyu Sun, Ting Liu, Shing-Chow Chan, H. C. Wu |
| 2026 | PAKDD | SGF-Net: Fusing SMILES, Graph, and Fingerprints for Molecular Property Prediction. | Ting Liu, Linxing Zhu, Shu Jiang, Wei Zhang, Jiashuang Huang, Weiping Ding |
| 2026 | SIGCOMM | GeoOrchestra: Orchestrating Heterogeneous Geo-Distributed Training with Network-Aware Scheduling. | Ting Liu, Qinghua Wu, Jun Zhou, Yuan Sun, Jingbin Yang, Jinglei Pei, Chen Zhang, Heng Pan, Zhenyu Li, Yunjie 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 |
| 2025 | EMNLP | Chain of Strategy Optimization Makes Large Language Models Better Emotional Supporter. | Weixiang Zhao, Xingyu Sui, Xinyang Han, Yang Deng, Yulin Hu, Jiahe Guo, Libo Qin, Qianyun Du, Shijin Wang, Yanyan Zhao, Bing Qin, Ting Liu |
| 2025 | EMNLP | From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems. | Zekun Zhou, Xiaocheng Feng, Lei Huang, Xiachong Feng, Ziyun Song, Ruihan Chen, Liang Zhao, Weitao Ma, Yuxuan Gu, Baoxin Wang, Dayong Wu, Guoping Hu, Ting Liu, Bing Qin |
| 2025 | ICASSP | Exploring Generalization Boundaries of Unsupervised Industrial Anomaly Detection Models through Attribute Perturbation. | Wei Ran, Yuzhuo Fu, Ting Liu |
| 2025 | ICASSP | A Training-Free Correlation-Weighted Model for Zero-/Few-Shot Industrial Anomaly Detection with Retrieval Augmentation. | Wei Ran, Zefang Yu, Suncheng Xiang, Ting Liu, Yuzhuo Fu |
| 2025 | ICASSP | Bridging Neural and Symbolic Reasoning: A Dual-System Framework for Interpretable Question Answering. | Jihao Shi, Xiao Ding, Hengwei Zhao, Ting Liu, Bing Qin |
| 2025 | ICASSP | GPA: Enhancing Generalizable Physical Adversarial Attacks Across Multiple Vision Tasks. | Mingye Xie, Suncheng Xiang, Jiacheng Ruan, Xian Gao, Zefang Yu, Ting Liu, Yuzhuo Fu |
| 2025 | ICCV | VLRMBench: A Comprehensive and Challenging Benchmark for Vision-Language Reward Models. | Jiacheng Ruan, Wenzhen Yuan, Xiqi Gao, Ye Guo, Daoxin Zhang, Zhe Xu, Yao Hu, Ting Liu, Yuzhuo Fu |
| 2025 | ICLR | Accelerating Diffusion Transformers with Token-wise Feature Caching. | Chang Zou, Xuyang Liu, Ting Liu, Siteng Huang, Linfeng Zhang |
| 2025 | ICML | 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 |
| 2025 | ICML | Epsilon-VAE: Denoising as Visual Decoding. | Long Zhao, Sanghyun Woo, Ziyu Wan, Yandong Li, Han Zhang, Boqing Gong, Hartwig Adam, Xuhui Jia, Ting Liu |
| 2025 | IJCAI | Beyond Fixed Length: Bucket Pre-training is All You Need. | Qing Yang, Qiyao Peng, Hongtao Liu, Kai Liu, Bing Qin, Ting Liu |
| 2025 | IJCNN | MolFusion: Multimodal Fusion Learning for Molecular Representations via Multi-granularity Views. | Muzhen Cai, Sendong Zhao, Haochun Wang, Haoqiang Guo, Yanrui Du, Zewen Qiang, Bing Qin, Ting Liu |
| 2025 | ICSE | The Design Smells Breaking the Boundary between Android Variants and AOSP. | Wuxia Jin, Jiaowei Shang, Jianguo Zheng, Mengjie Sun, Zhenyu Huang, Ming Fan, Ting Liu |
| 2025 | MASS | Simulation-Based Smart Home Architecture for Autism Support Using CSI-Based Movement Detection. | Devin W. Bowler, Adam M. Deinhardt, Marcelo M. Carvalho, Ting Liu, Damian Valles |
| 2025 | MASS | AIoT for Autism: Analyzing Motor Behaviors in Virtual Environments Using Visual Data. | Adam M. Deinhardt, Devin W. Bowler, Marcelo M. Carvalho, Ting Liu, Damian Valles |
| 2025 | MICCAI | KMUNet: A Novel Medical Image Segmentation Model Based on KAN and Mamba. | Hongsheng Zhang, Yuting Duan, Ting Liu, Weifeng Zhang, Hongzhong Tang |
| 2025 | NAACL | Exploring Large Language Models for Effective Rumor Detection on Social Media. | Yirong Zeng, Xiao Ding, Bibo Cai, Ting Liu, Bing Qin |
| 2025 | RAID | MuSAR: Multi-Step Attack Reconstruction from Lightweight Security Logs via Event-Level Semantic Association in Multi-Host Environments. | Yang Liu, Zisen Xu, Zian Luo, Jin'ao Shang, Shilong Zhang, Haichuan Zhang, Ting Liu |
| 2025 | VTC | Channel Recovery for Asymmetrical Uplink and Downlink Transceivers in Massive MIMO Systems with UPAs. | Dahong Du, Xi Yang, Ting Liu, Qing Xue |
| 2025 | VTC | Measurement and Modeling of Rain Attenuation for Short-Range Millimeter-Wave Channels. | Mengyang Wang, Danping He, Hongyu Duan, Ting Liu, Junchen Liu, Yujun Zhang, Ke Guan |
| 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 |
| 2024 | HCI | Closing the Gap Between Long Distance Couples via Asynchronous Remote Touch Communication. | Angela Chan, Francis K. H. Quek, Joshua Howell, Ting Liu |
| 2024 | ICASSP | DAP: Domain-Aware Prompt Learning for Vision-and-Language Navigation. | Ting Liu, Yue Hu, Wansen Wu, Youkai Wang, Kai Xu, Quanjun Yin |
| 2024 | ICLR | 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 |
| 2024 | ICML | 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 |
| 2024 | ICML | On Discrete Prompt Optimization for Diffusion Models. | Ruochen Wang, Ting Liu, Cho-Jui Hsieh, Boqing Gong |
| 2024 | ICPR | Dynamic Loss Decay Based Robust Oriented Object Detection on Remote Sensing Images with Noisy Labels. | Guozhang Liu, Ting Liu, Mengke Yuan, Tao Pang, Guangxing Yang, Hao Fu, Tao Wang, Tongkui Liao |
| 2024 | ICSE | Cross-Inlining Binary Function Similarity Detection. | Ang Jia, Ming Fan, Xi Xu, Wuxia Jin, Haijun Wang, Ting Liu |
| 2024 | ICSE | PyAnalyzer: An Effective and Practical Approach for Dependency Extraction from Python Code. | Wuxia Jin, Shuo Xu, Dawei Chen, Jiajun He, Dinghong Zhong, Ming Fan, Hongxu Chen, Huijia Zhang, Ting Liu |
| 2024 | IGARSS | Spatialization Research of Statistic Population based on Multi-Source Geospatial Data. | Hailun Dai, Tao Zhang, Lei Miao, Jian'an Chen, Ting Liu, Xiang Zhang |
| 2024 | IGARSS | Water Body Extraction from SAR and Multi-Source Data Using Siamese Network-Based Segmentation. | Ting Liu, Mengke Yuan, Chaoran Lu, Kaixuan Lu, Baochai Peng, Heyang Duan, Mengya Li, Pan Zhang, Tao Wang, Tongkui Liao |
| 2024 | ISNN | A Novel Entropy-Based Regularization for NeRF to View Synthesis in Few-Shot Scenarios. | Ting Liu, Sijia Zhang, Zhuoyuan Li, Yi Sun |
| 2024 | ISNN | 3D Multi-scene Stylization Based on Conditional Neural Radiance Fields. | Sijia Zhang, Ting Liu, Zhuoyuan Li, Yi Sun |
| 2024 | ISSRE | Business Compliance Detection of Smart Contracts in Electricity and Carbon Trading Scenarios. | Yin Wu, Haijun Wang, Yuanhui Zhang, Xitao Li, Hao Wu, Ming Fan, Ting Liu |
| 2024 | MMM | PANDA: Prompt-Based Context- and Indoor-Aware Pretraining for Vision and Language Navigation. | Ting Liu, Yue Hu, Wansen Wu, Youkai Wang, Kai Xu, Quanjun Yin |
| 2024 | MMM | ACT: Action-assoCiated and Target-Related Representations for Object Navigation. | Youkai Wang, Yue Hu, Wansen Wu, Ting Liu, Yong Peng |
| 2024 | NSDI | TECC: Towards Efficient QUIC Tunneling via Collaborative Transmission Control. | Jiaxing Zhang, Furong Yang, Ting Liu, Qinghua Wu, Wu Zhao, Yuanbo Zhang, Wentao Chen, Yanmei Liu, Hongyu Guo, Yunfei Ma, Zhenyu Li |
| 2024 | PacificVis | Dynamic-Scene-Graph-Supported Visual Understanding of Autonomous Driving Scenarios. | Ting Liu, Dong Sun, Chongke Bi, Yi Sun, Siming Chen |
| 2024 | PacificVis | Interpreting Autonomous Driving Corner Cases: A Visual Analytics Approach. | Yi Sun, Zekai Shao, Xingyu Qiu, Yun Li, Ting Liu, Linbing Xiang, Dong Sun, Siming Chen |
| 2024 | WACV | 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 |
| 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 |
| 2023 | FIE | Catching Imagination: Enabling Children to Capture Imaginative Tabletop Play to Support Storytelling and Writing. | Ting Liu, Larry Powell, Francis K. H. Quek |
| 2023 | FIE | Physical Computational Models for Horizontal Learning in STEM. | Ting Liu, Francis K. H. Quek, Glen Hordemann |
| 2023 | FIE | Diversity Among Mentors in STEM+Computing MentorCorps. | Shaoping Qiu, Francis K. H. Quek, Malini Natarajarathinam, Larry Powell, Ting Liu, Mehdi Gorjian |
| 2023 | ICASSP | CluCDD: Contrastive Dialogue Disentanglement Via Clustering. | Jingsheng Gao, Zeyu Li, Suncheng Xiang, Ting Liu, Yuzhuo Fu |
| 2023 | ICASSP | Dialogue Context Modelling for Action Item Detection: Solution for ICASSP 2023 Mug Challenge Track 5. | Jie Huang, Xiachong Feng, Yangfan Ye, Liang Zhao, Xiaocheng Feng, Bing Qin, Ting Liu |
| 2023 | ICASSP | AV-TAD: Audio-Visual Temporal Action Detection With Transformer. | Yangcheng Li, Zefang Yu, Suncheng Xiang, Ting Liu, Yuzhuo Fu |
| 2023 | ICASSP | CC-PoseNet: Towards Human Pose Estimation in Crowded Classrooms. | Zefang Yu, Yanping Hu, Suncheng Xiang, Ting Liu, Yuzhuo Fu |
| 2023 | ICCV | Learning from Semantic Alignment between Unpaired Multiviews for Egocentric Video Recognition. | Qitong Wang, Long Zhao, Liangzhe Yuan, Ting Liu, Xi Peng |
| 2023 | ICCV | 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 |
| 2023 | ICCV | 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 |
| 2023 | ICCV | 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 |
| 2023 | ICSE | Dependency Facade: The Coupling and Conflicts between Android Framework and Its Customization. | Wuxia Jin, Yitong Dai, Jianguo Zheng, Yu Qu, Ming Fan, Zhenyu Huang, Dezhi Huang, Ting Liu |
| 2023 | IGARSS | Fine-Grained Building Roof Instance Segmentation Based on Domain Adapted Pretraining and Composite Dual-Backbone. | Guozhang Liu, Baochai Peng, Ting Liu, Pan Zhang, Mengke Yuan, Chaoran Lu, Ningning Cao, Sen Zhang, Simin Huang, Tao Wang |
| 2023 | IGARSS | Hgdnet: A Height-Hierarchy Guided Dual-Decoder Network for Single View Building Extraction and Height Estimation. | Chaoran Lu, Ningning Cao, Pan Zhang, Ting Liu, Baochai Peng, Guozhang Liu, Mengke Yuan, Sen Zhang, Simin Huang, Tao Wang |
| 2023 | MICCAI | EGE-UNet: An Efficient Group Enhanced UNet for Skin Lesion Segmentation. | Jiacheng Ruan, Mingye Xie, Jingsheng Gao, Ting Liu, Yuzhuo Fu |
| 2023 | TechDebt | Identifying Code Changes for Architecture Decay via a Metric Forest Structure. | Wuxia Jin, Yuyun Zhang, Jiaowei Shang, Yi Hou, Ming Fan, Ting Liu |
| 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 |
| 2022 | ICASSP | GOS: A Large-Scale Annotated Outdoor Scene Synthetic Dataset. | Mingye Xie, Ting Liu, Yuzhuo Fu |
| 2022 | ICASSP | Synpose: A Large-Scale and Densely Annotated Synthetic Dataset for Human Pose Estimation in Classroom. | Zefang Yu, Yangcheng Li, Yicheng Liu, Ting Liu, Yuzhuo Fu |
| 2022 | ICLR | 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 |
| 2022 | INFOCOM | Network Security Situation Awareness Based on Spatio-temporal Correlation of Alarms. | Zehua Ren, Yang Liu, Huixiang Liu, Baoxiang Jiang, Xiangzhen Yao, Lin Li, Haiwen Yang, Ting Liu |
| 2022 | ICSE | Explanation-Guided Fairness Testing through Genetic Algorithm. | Ming Fan, Wenying Wei, Wuxia Jin, Zijiang Yang, Ting Liu |
| 2022 | ICSE | Testing Machine Learning Systems in Industry: An Empirical Study. | Shuyue Li, Jiaqi Guo, Jian-Guang Lou, Ming Fan, Ting Liu, Dongmei Zhang |
| 2022 | ISCC | MD-Roofline: A Training Performance Analysis Model for Distributed Deep Learning. | Tianhao Miao, Qinghua Wu, Ting Liu, Penglai Cui, Rui Ren, Zhenyu Li, Gaogang Xie |
| 2022 | ISNCC | Coverage Probability Analysis in Multi-cell Multi-user System with Random Number of Users. | Yuanxue Xin, Xuan Yang, Runkang Zhou, Ting Liu |
| 2022 | ISSTA | One step further: evaluating interpreters using metamorphic testing. | Ming Fan, Jiali Wei, Wuxia Jin, Zhou Xu, Wenying Wei, Ting Liu |
| 2022 | MICCAI | A Novel Deep Learning System for Breast Lesion Risk Stratification in Ultrasound Images. | Ting Liu, Xing An, Yanbo Liu, Yuxi Liu, Bin Lin, Runzhou Jiang, Wenlong Xu, Longfei Cong, Lei Zhu |
| 2022 | NAACL | All Information is Valuable: Question Matching over Full Information Transmission Network. | Le Qi, Yu Zhang, Qingyu Yin, Guidong Zheng, Junjie Wen, Jinlong Li, Ting Liu |
| 2022 | PIMRC | Joint Data and Model Driven Channel-Free Signal Detection based Learned Factor Graph. | Yuanyuan Lan, Xiaoming Wang, Rui Jiang, Dapeng Li, Ting Liu, Youyun Xu |
| 2022 | PIMRC | Deep Transfer Learning for Model-Driven Signal Detection in Downlink MIMO-NOMA Systems. | Dongcai Zhang, Xiaoming Wang, Yuanxue Xin, Ting Liu, Youyun Xu |
| 2022 | WWW | Modeling and Optimizing the Scaling Performance in Distributed Deep Learning Training. | Ting Liu, Tianhao Miao, Qinghua Wu, Zhenyu Li, Guangxin He, Jiaoren Wu, Shengzhuo Zhang, Xingwu Yang, Gareth Tyson, Gaogang Xie |
| 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 |
| 2021 | EMNLP | Allocating Large Vocabulary Capacity for Cross-Lingual Language Model Pre-Training. | Bo Zheng, Li Dong, Shaohan Huang, Saksham Singhal, Wanxiang Che, Ting Liu, Xia Song, Furu Wei |
| 2021 | ICASSP | A Co-Interactive Transformer for Joint Slot Filling and Intent Detection. | Libo Qin, Tailu Liu, Wanxiang Che, Bingbing Kang, Sendong Zhao, Ting Liu |
| 2021 | ICASSP | Injecting Word Information with Multi-Level Word Adapter for Chinese Spoken Language Understanding. | Dechuan Teng, Libo Qin, Wanxiang Che, Sendong Zhao, Ting Liu |
| 2021 | ICASSP | Taking A Closer Look at Synthesis: Fine-Grained Attribute Analysis for Person Re-Identification. | Suncheng Xiang, Yuzhuo Fu, Guanjie You, Ting Liu |
| 2021 | ICCAD | Polyhedral-based Pipelining of Imperfectly-Nested Loop for CGRAs. | Dajiang Liu, Ting Liu, Xingyu Mo, Jiaxing Shang, Shouyi Yin |
| 2021 | ICONIP | DFFCN: Dual Flow Fusion Convolutional Network for Micro Expression Recognition. | Jinjie Chen, Yuzhuo Fu, Yibo Jin, Ting Liu |
| 2021 | ICONIP | Dynamic Channel Pruning for Real-Time Object Detection Networks. | Yibo Jin, Ting Liu, Jinjie Chen, Yuzhuo Fu |
| 2021 | IJCAI | A Survey on Spoken Language Understanding: Recent Advances and New Frontiers. | Libo Qin, Tianbao Xie, Wanxiang Che, Ting Liu |
| 2021 | IJCNN | DADgraph: A Discourse-aware Dialogue Graph Neural Network for Multiparty Dialogue Machine Reading Comprehension. | Jiaqi Li, Ming Liu, Zihao Zheng, Heng Zhang, Bing Qin, Min-Yen Kan, Ting Liu |
| 2021 | ICSE | Interpretation-enabled Software Reuse Detection Based on a Multi-Level Birthmark Model. | Xi Xu, Qinghua Zheng, Zheng Yan, Ming Fan, Ang Jia, Ting Liu |
| 2021 | MICCAI | An Efficient Tracker for Thyroid Nodule Detection and Tracking During Ultrasound Screening. | Ting Liu, Xing An, Bin Lin, Yanbo Liu, Wenlong Xu, Yuxi Liu, Longfei Cong, Lei Zhu |
| 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 |
| 2020 | EMNLP | Counterfactual Off-Policy Training for Neural Dialogue Generation. | Qingfu Zhu, Wei-Nan Zhang, Ting Liu, William Yang Wang |
| 2020 | GLOBECOM | Mobile Crowdsensing Coverage Degree-Probability Enhancement based on Urban Vehicles. | Ting Liu, Chaowei Wang, Xiga Gaimu, Weidong Wang |
| 2020 | HCI | An Evaluation Model of Commercial Ring Designs from Cognitive and Emotional Aspects Based on the Quantification Theory I. | Ting Liu, Jian Shi |
| 2020 | ICIP | Object Tracking Via ImageNet Classification Scores. | Li Wang, Ting Liu, Bing Wang, Jie Lin, Xulei Yang, Gang Wang |
| 2020 | IJCAI | Guided Generation of Cause and Effect. | Zhongyang Li, Xiao Ding, Ting Liu, J. Edward Hu, Benjamin Van Durme |
| 2020 | ICSE | Automated bug reproduction from user reviews for Android applications. | Shuyue Li, Jiaqi Guo, Ming Fan, Jian-Guang Lou, Qinghua Zheng, Ting Liu |
| 2020 | ICSE | MemLock: memory usage guided fuzzing. | Cheng Wen, Haijun Wang, Yuekang Li, Shengchao Qin, Yang Liu, Zhiwu Xu, Hongxu Chen, Xiaofei Xie, Geguang Pu, Ting Liu |
| 2020 | ISSRE | An Empirical Evaluation of GDPR Compliance Violations in Android mHealth Apps. | Ming Fan, Le Yu, Sen Chen, Hao Zhou, Xiapu Luo, Shuyue Li, Yang Liu, Jun Liu, Ting Liu |
| 2020 | ISSTA | Recovering fitness gradients for interprocedural Boolean flags in search-based testing. | Yun Lin, Jun Sun, Gordon Fraser, Ziheng Xiu, Ting Liu, Jin Song Dong |
| 2020 | ISSTA | Patch based vulnerability matching for binary programs. | Yifei Xu, Zhengzi Xu, Bihuan Chen, Fu Song, Yang Liu, Ting Liu |
| 2020 | MSR | From Innovations to Prospects: What Is Hidden Behind Cryptocurrencies? | Ang Jia, Ming Fan, Xi Xu, Di Cui, Wenying Wei, Zijiang Yang, Kai Ye, Ting Liu |
| 2020 | WWW | Keywords Generation Improves E-Commerce Session-based Recommendation. | Yuanxing Liu, Zhaochun Ren, Wei-Nan Zhang, Wanxiang Che, Ting Liu, Dawei Yin |
| 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 |
| 2019 | GLOBECOM | Learn to Offload in Mobile Edge Computing. | Ting Liu, Zhaowei Zhu, Junrong Gu, Xiliang Luo |
| 2019 | ICIP | Learning Hierarchical Features for Visual Object Tracking With Recursive Neural Networks. | Li Wang, Ting Liu, Bing Wang, Jie Lin, Xulei Yang, Gang Wang |
| 2019 | IGARSS | Preliminary Analysis of Wind Resources and Wind Energy Reserves in the off-Shore Region of Guangdong Province. | Yufei Zhang, Mingsen Lin, Bin Zou, Xiaobin Yin, Ting Liu, Wu Zhou |
| 2019 | IJCAI | Story Ending Prediction by Transferable BERT. | Zhongyang Li, Xiao Ding, Ting Liu |
| 2019 | IJCAI | Exploiting Persona Information for Diverse Generation of Conversational Responses. | Haoyu Song, Weinan Zhang, Yiming Cui, Dong Wang, Ting Liu |
| 2019 | INFOCOM | RF-Mehndi: A Fingertip Profiled RF Identifier. | Cui Zhao, Zhenjiang Li, Ting Liu, Han Ding, Jinsong Han, Wei Xi, Ruowei Gui |
| 2019 | ICSE | Investigating the impact of multiple dependency structures on software defects. | Di Cui, Ting Liu, Yuanfang Cai, Qinghua Zheng, Qiong Feng, Wuxia Jin, Jiaqi Guo, Yu Qu |
| 2019 | ICSE | Graph embedding based familial analysis of Android malware using unsupervised learning. | Ming Fan, Xiapu Luo, Jun Liu, Meng Wang, Chunyin Nong, Qinghua Zheng, Ting Liu |