Jie Zhou
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
686
Venues
36
Active years
2022–2026
Best venue rank
A*
Where they publish
- A*ACL84 papers
- A*CVPR42 papers
- A*EMNLP33 papers
- A*ICCV20 papers
- BCOLING17 papers
- A*AAAI14 papers
- A*ECCV14 papers
- A*ICLR13 papers
- A*ICML6 papers
- A*DAC5 papers
- MulticonferenceICASSP5 papers
- A*CHI4 papers
- A*IJCAI4 papers
- ANAACL4 papers
- ARecSys4 papers
- A*SIGIR3 papers
- ACIKM3 papers
- AICCAD2 papers
- CFUSION2 papers
- CICANN2 papers
- A*ICDE2 papers
- BIJCNN2 papers
- BIWQoS2 papers
- CCW1 paper
- AIROS1 paper
- AIUI1 paper
- A*KDD1 paper
- AWACV1 paper
- NationalHCI1 paper
- A*SIGCOMM1 paper
- A*SiggraphA1 paper
- BWiOpt1 paper
- AEACL1 paper
- BICONIP1 paper
- BICTAI1 paper
- UnrankedCoRL1 paper
Papers
Showing the 300 most recent indexed papers.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | LifeAlign: Lifelong Alignment for Large Language Models with Memory-Augmented Focalized Preference Optimization. | Junsong Li, Jie Zhou, Bihao Zhan, Yutao Yang, Qianjun Pan, Shilian Chen, Tianyu Huai, Xin Li, Qin Chen, Liang He |
| 2026 | AAAI | ComoRAG: A Cognitive-Inspired Memory-Organized RAG for Stateful Long Narrative Reasoning. | Juyuan Wang, Rongchen Zhao, Wei Wei, Yufeng Wang, Mo Yu, Jie Zhou, Jin Xu, Liyan Xu |
| 2026 | ACL | Figure It Out: Improve the Frontier of Reasoning with Executable Visual States. | Meiqi Chen, Fandong Meng, Jie Zhou |
| 2026 | ACL | A Survey of Inductive Reasoning for Large Language Models. | Kedi Chen, Dezhao Ruan, Yuhao Dan, Yaoting Wang, Siyu Yan, Xuecheng Wu, Yinqi Zhang, Qin Chen, Jie Zhou, Liang He, Biqing Qi, Linyang Li, Qipeng Guo, Xiaoming Shi, Wei Zhang |
| 2026 | ACL | Do MLLMs Understand Pointing? Benchmarking and Enhancing Referential Reasoning in Egocentric Vision. | Chentao Li, Zirui Gao, Mingze Gao, Yinglian Ren, Jianjiang Feng, Jie Zhou |
| 2026 | ACL | ReFreeKV: Towards Threshold-Free KV Cache Compression. | Xuanfan Ni, Liyan Xu, Chenyang Lyu, Longyue Wang, Mo Yu, Lemao Liu, Fandong Meng, Jie Zhou, Piji Li |
| 2026 | ACL | PsychEval: A Multi-Session and Multi-Therapy Benchmark for High-Realism AI Psychological Counselor. | Qianjun Pan, Junyi Wang, Jie Zhou, Yutao Yang, Junsong Li, Kaiyin Xu, Yougen Zhou, Yihan Li, JingYuan Zhao, Qin Chen, Ningning Zhou, Kai Chen, Liang He |
| 2026 | ACL | UltraEval-Audio: A Unified Framework for Comprehensive Evaluation of Audio Foundation Models. | Qundong Shi, Jie Zhou, Biyuan Lin, Junbo Cui, Guoyang Zeng, Yixuan Zhou, Ziyang Wang, Xin Liu, Zhen Luo, Yudong Wang, Zhiyuan Liu |
| 2026 | ACL | More Than Sum of Its Parts: Deciphering Intent Shifts in Multimodal Hate Speech Detection. | Runze Sun, Yu Zheng, Zexuan Xiong, Zhongjin Qu, Lei Chen, Jie Zhou, Jiwen Lu |
| 2026 | ACL | TamEdit: Trajectory-Aware Meta-Learning for Specificity-Preserving Continual Knowledge Editing. | Shiqiang Tian, Cheng Ding, Qin Chen, Jie Zhou, Liang He |
| 2026 | ACL | LLM-KT: Enhancing Large Language Models with Knowledge Tracing via Multi-Level Plug-and-Play Alignment. | Ziwei Wang, Jie Zhou, Qin Chen, Bo Jiang, Qingchun Bai, Liang Dou, Liang He |
| 2026 | ACL | Situated Embedding Models for Context-Aware Dense Retrieval. | Junjie Wu, Jiangnan Li, Yuqing Li, Lemao Liu, Liyan Xu, Jiwei Li, Dit-Yan Yeung, Jie Zhou, Mo Yu |
| 2026 | ACL | Investigating Cross-Modal Skill Injection: Scenarios, Methods, and Hyperparameters. | Zhiyu Xu, Lean Wang, Yuanxin Liu, Lei Li, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun |
| 2026 | ACL | ArrowGEV: Grounding Events in Video via Learning the Arrow of Time. | Fangxu Yu, Ziyao Lu, Liqiang Niu, Fandong Meng, Jie Zhou |
| 2026 | ACL | Joint Optimization of Training Data and Policy in RLHF. | Zhuohao Yu, Jiali Zeng, Weizheng Gu, Mengyuan Sun, Yidong Wang, Fandong Meng, Jie Zhou, Shikun Zhang, Wei Ye |
| 2026 | ACL | FlowRAG: Synergizing Explicit Reasoning via Frequency-Aware Multi-Granularity Graph Flow. | Bihao Zhan, Zongsheng Cao, Jie Zhou, Bo Zhang, Liang He |
| 2026 | ACL | Think Natively: Unlocking Multilingual Reasoning with Consistency-Enhanced Reinforcement Learning. | Xue Zhang, Yunlong Liang, Fandong Meng, Songming Zhang, Kaiyu Huang, Yufeng Chen, Jinan Xu, Jie Zhou |
| 2026 | CHI | PianoBand: A Multimodal Wristband Interface for Portable Piano Interaction. | Zhaoguo Wang, Ziyuan Li, Chentao Li, Zihang Ao, Jianjiang Feng, Jie Zhou |
| 2026 | CHI | WristPP: A Wrist-Worn System for Hand Pose and Pressure Estimation. | Ziheng Xi, Zihang Ao, Yitao Wang, Mingze Gao, Wanmei Zhang, Jianjiang Feng, Jie Zhou |
| 2026 | SIGIR | An Action-Aware Generative Sequence Modeling for Short Video Recommendation. | Wenhao Li, Zihan Lin, Zhengxiao Guo, Jie Zhou, Shukai Liu, Yongqi Liu, Chuan Luo |
| 2025 | AAAI | Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection. | Kedi Chen, Qin Chen, Jie Zhou, Xinqi Tao, Bowen Ding, Jingwen Xie, Mingchen Xie, Peilong Li, Feng Zheng |
| 2025 | AAAI | Learning with Open-world Noisy Data via Class-independent Margin in Dual Representation Space. | Linchao Pan, Can Gao, Jie Zhou, Jinbao Wang |
| 2025 | ACL | Enhancing Cross-Tokenizer Knowledge Distillation with Contextual Dynamical Mapping. | Yijie Chen, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou |
| 2025 | ACL | P-React: Synthesizing Topic-Adaptive Reactions of Personality Traits via Mixture of Specialized LoRA Experts. | Yuhao Dan, Jie Zhou, Qin Chen, Junfeng Tian, Liang He |
| 2025 | ACL | APB: Accelerating Distributed Long-Context Inference by Passing Compressed Context Blocks across GPUs. | Yuxiang Huang, Mingye Li, Xu Han, Chaojun Xiao, Weilin Zhao, Sun Ao, Hao Zhou, Jie Zhou, Zhiyuan Liu, Maosong Sun |
| 2025 | ACL | AVG-LLaVA: An Efficient Large Multimodal Model with Adaptive Visual Granularity. | Zhibin Lan, Liqiang Niu, Fandong Meng, Wenbo Li, Jie Zhou, Jinsong Su |
| 2025 | ACL | THOR-MoE: Hierarchical Task-Guided and Context-Responsive Routing for Neural Machine Translation. | Yunlong Liang, Fandong Meng, Jie Zhou |
| 2025 | ACL | PunchBench: Benchmarking MLLMs in Multimodal Punchline Comprehension. | Kun Ouyang, Yuanxin Liu, Shicheng Li, Yi Liu, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun |
| 2025 | ACL | LongDPO: Unlock Better Long-form Generation Abilities for LLMs via Critique-augmented Stepwise Information. | Bowen Ping, Jiali Zeng, Fandong Meng, Shuo Wang, Jie Zhou, Shanghang Zhang |
| 2025 | ACL | A Law Reasoning Benchmark for LLM with Tree-Organized Structures including Factum Probandum, Evidence and Experiences. | Jiaxin Shen, Jinan Xu, Huiqi Hu, Luyi Lin, Guoyang Ma, Fei Zheng, Fandong Meng, Jie Zhou, Wenjuan Han |
| 2025 | ACL | DRT: Deep Reasoning Translation via Long Chain-of-Thought. | Jiaan Wang, Fandong Meng, Yunlong Liang, Jie Zhou |
| 2025 | ACL | An Empirical Study of Many-to-Many Summarization with Large Language Models. | Jiaan Wang, Fandong Meng, Zengkui Sun, Yunlong Liang, Yuxuan Cao, Jiarong Xu, Haoxiang Shi, Jie Zhou |
| 2025 | ACL | Optimizing Question Semantic Space for Dynamic Retrieval-Augmented Multi-hop Question Answering. | Linhao Ye, Lang Yu, Zhikai Lei, Qin Chen, Jie Zhou, Liang He |
| 2025 | ACL | Less, but Better: Efficient Multilingual Expansion for LLMs via Layer-wise Mixture-of-Experts. | Xue Zhang, Yunlong Liang, Fandong Meng, Songming Zhang, Yufeng Chen, Jinan Xu, Jie Zhou |
| 2025 | ACL | Advancing SMoE for Continuous Domain Adaptation of MLLMs: Adaptive Router and Domain-Specific Loss. | Liang Zhang, Ziyao Lu, Fandong Meng, Hui Li, Jie Zhou, Jinsong Su |
| 2025 | ACL | A Self-Denoising Model for Robust Few-Shot Relation Extraction. | Liang Zhang, Yang Zhang, Ziyao Lu, Fandong Meng, Jie Zhou, Jinsong Su |
| 2025 | ACL | FR-Spec: Accelerating Large-Vocabulary Language Models via Frequency-Ranked Speculative Sampling. | Weilin Zhao, Tengyu Pan, Xu Han, Yudi Zhang, Sun Ao, Yuxiang Huang, Kaihuo Zhang, Weilun Zhao, Yuxuan Li, Jie Zhou, Hao Zhou, Jianyong Wang, Maosong Sun, Zhiyuan Liu |
| 2025 | ACL | The Essence of Contextual Understanding in Theory of Mind: A Study on Question Answering with Story Characters. | Chulun Zhou, Qiujing Wang, Mo Yu, Xiaoqian Yue, Rui Lu, Jiangnan Li, Yifan Zhou, Shunchi Zhang, Jie Zhou, Wai Lam |
| 2025 | CHI | FineType: Fine-grained Tapping Gesture Recognition for Text Entry. | Chentao Li, Ziheng Xi, Jianjiang Feng, Jie Zhou |
| 2025 | CHI | FingerGlass: Enhancing Smart Glasses Interaction via Fingerprint Sensing. | Zhanwei Xu, Haoxiang Pei, Jianjiang Feng, Jie Zhou |
| 2025 | COLING | FinDABench: Benchmarking Financial Data Analysis Ability of Large Language Models. | Shu Liu, Shangqing Zhao, Chenghao Jia, Xinlin Zhuang, Zhaoguang Long, Jie Zhou, Aimin Zhou, Man Lan, Yang Chong |
| 2025 | COLING | Distilling Rule-based Knowledge into Large Language Models. | Wenkai Yang, Yankai Lin, Jie Zhou, Ji-Rong Wen |
| 2025 | COLING | Multilingual Knowledge Editing with Language-Agnostic Factual Neurons. | Xue Zhang, Yunlong Liang, Fandong Meng, Songming Zhang, Yufeng Chen, Jinan Xu, Jie Zhou |
| 2025 | CVPR | UniPre3D: Unified Pre-training of 3D Point Cloud Models with Cross-Modal Gaussian Splatting. | Ziyi Wang, Yanran Zhang, Jie Zhou, Jiwen Lu |
| 2025 | CVPR | Text-guided Sparse Voxel Pruning for Efficient 3D Visual Grounding. | Wenxuan Guo, Xiuwei Xu, Ziwei Wang, Jianjiang Feng, Jie Zhou, Jiwen Lu |
| 2025 | CVPR | CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answering. | Tianyu Huai, Jie Zhou, Xingjiao Wu, Qin Chen, Qingchun Bai, Ze Zhou, Liang He |
| 2025 | CVPR | Secret Lies in Color: Enhancing AI-Generated Images Detection with Color Distribution Analysis. | Zexi Jia, Chuanwei Huang, Yeshuang Zhu, Hongyan Fei, Xiaoyue Duan, Zhiqiang Yuan, Ying Deng, Jiapei Zhang, Jinchao Zhang, Jie Zhou |
| 2025 | CVPR | EfficientLLaVA: Generalizable Auto-Pruning for Large Vision-language Models. | Yinan Liang, Ziwei Wang, Xiuwei Xu, Jie Zhou, Jiwen Lu |
| 2025 | CVPR | UniGoal: Towards Universal Zero-shot Goal-oriented Navigation. | Hang Yin, Xiuwei Xu, Linqing Zhao, Ziwei Wang, Jie Zhou, Jiwen Lu |
| 2025 | CVPR | FADE: Frequency-Aware Diffusion Model Factorization for Video Editing. | Yixuan Zhu, Haolin Wang, Shilin Ma, Wenliang Zhao, Yansong Tang, Lei Chen, Jie Zhou |
| 2025 | CVPR | GaussianWorld: Gaussian World Model for Streaming 3D Occupancy Prediction. | Sicheng Zuo, Wenzhao Zheng, Yuanhui Huang, Jie Zhou, Jiwen Lu |
| 2025 | CW | Graph-Enhanced Spatial-Spectral U-Net for Hyperspectral Image Classification. | Yage Song, Aoyuan Shi, Xueying Liu, Jie Zhou |
| 2025 | DAC | UVLLM: An Automated Universal RTL Verification Framework using LLMs. | Yuchen Hu, Junhao Ye, Ke Xu, Jialin Sun, Shiyue Zhang, Xinyao Jiao, Dingrong Pan, Jie Zhou, Ning Wang, Weiwei Shan, Xinwei Fang, Xi Wang, Nan Guan, Zhe Jiang |
| 2025 | DAC | Location is Key: Leveraging LLM for Functional Bug Localization in Verilog Design. | Bingkun Yao, Ning Wang, Jie Zhou, Xi Wang, Hong Gao, Zhe Jiang, Nan Guan |
| 2025 | DAC | CAE-DFKD: Bridging the Transferability Gap in Data-Free Knowledge Distillation. | Zherui Zhang, Changwei Wang, Rongtao Xu, Wenhao Xu, Shibiao Xu, Yu Zhang, Jie Zhou, Li Guo |
| 2025 | DAC | Insights from Rights and Wrongs: A Large Language Model for Solving Assertion Failures in RTL Design. | Jie Zhou, Youshu Ji, Ning Wang, Yuchen Hu, Xinyao Jiao, Bingkun Yao, Xinwei Fang, Shuai Zhao, Nan Guan, Zhe Jiang |
| 2025 | DAC | Insights from Rights and Wrongs: A Large Language Model for Solving Assertion Failures in RTL Design. | Jie Zhou, Youshu Ji, Ning Wang, Yuchen Hu, Xinyao Jiao, Bingkun Yao, Xinwei Fang, Shuai Zhao, Nan Guan, Zhe Jiang |
| 2025 | EMNLP | LLMMapReduce-V3: Enabling Interactive In-Depth Survey Generation through a MCP-Driven Hierarchically Modular Agent System. | Yu Chao, Siyu Lin, Xiaorong Wang, Zhu Zhang, Zihan Zhou, Haoyu Wang, Shuo Wang, Jie Zhou, Zhiyuan Liu, Maosong Sun |
| 2025 | EMNLP | LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning. | Zhibin Lan, Liqiang Niu, Fandong Meng, Jie Zhou, Jinsong Su |
| 2025 | EMNLP | POINTS-Reader: Distillation-Free Adaptation of Vision-Language Models for Document Conversion. | Yuan Liu, Zhongyin Zhao, Le Tian, Haicheng Wang, Xubing Ye, Yangxiu You, Zilin Yu, Chuhan Wu, Zhou Xiao, Yang Yu, Jie Zhou |
| 2025 | EMNLP | ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning. | Ziqing Qiao, Yongheng Deng, Jiali Zeng, Dong Wang, Lai Wei, Guanbo Wang, Fandong Meng, Jie Zhou, Ju Ren, Yaoxue Zhang |
| 2025 | EMNLP | Retrieval-Augmented Machine Translation with Unstructured Knowledge. | Jiaan Wang, Fandong Meng, Yingxue Zhang, Jie Zhou |
| 2025 | EMNLP | Dense Retrievers Can Fail on Simple Queries: Revealing The Granularity Dilemma of Embeddings. | Liyan Xu, Zhenlin Su, Mo Yu, Jiangnan Li, Fandong Meng, Jie Zhou |
| 2025 | EMNLP | CM-Align: Consistency-based Multilingual Alignment for Large Language Models. | Xue Zhang, Yunlong Liang, Fandong Meng, Songming Zhang, Yufeng Chen, Jinan Xu, Jie Zhou |
| 2025 | EMNLP | TIU-Bench: A Benchmark for Evaluating Large Multimodal Models on Text-rich Image Understanding. | Kun Zhang, Liqiang Niu, Zhen Cao, Fandong Meng, Jie Zhou |
| 2025 | ICASSP | Semantic to Structure: Learning Structural Representations for Infringement Detection. | Chuanwei Huang, Zexi Jia, Hongyan Fei, Yeshuang Zhu, Zhiqiang Yuan, Jinchao Zhang, Jie Zhou |
| 2025 | ICASSP | ILDiff: Generate Transparent Animated Stickers by Implicit Layout Distillation. | Ting Zhang, Zhiqiang Yuan, Yeshuang Zhu, Jie Zhou, Jinchao Zhang |
| 2025 | ICCAD | ProtoCellLayout: Prototype-Guided Graph Learning for Accurate and Generalizable Standard Cell Layout PPA Estimation. | Zhiyuan Luo, Le Zhou, Zenghui Zhang, Jie Zhou, Zhien Li, Huiqing You, Feng Yao, Zhenyu Zhao |
| 2025 | ICCAD | From Concept to Practice: an Automated LLM-aided UVM Machine for RTL Verification. | Junhao Ye, Yuchen Hu, Ke Xu, Dingrong Pan, Qichun Chen, Jie Zhou, Shuai Zhao, Xinwei Fang, Xi Wang, Nan Guan, Zhe Jiang |
| 2025 | ICCV | IGL-Nav: Incremental 3D Gaussian Localization for Image-Goal Navigation. | Wenxuan Guo, Xiuwei Xu, Hang Yin, Ziwei Wang, Jianjiang Feng, Jie Zhou, Jiwen Lu |
| 2025 | ICCV | SpectralAR: Spectral Autoregressive Visual Generation. | Yuanhui Huang, Weiliang Chen, Wenzhao Zheng, Yueqi Duan, Jie Zhou, Jiwen Lu |
| 2025 | ICCV | MCID: Multi-aspect Copyright Infringement Detection for Generated Images. | Chuanwei Huang, Zexi Jia, Hongyan Fei, Yeshuang Zhu, Zhiqiang Yuan, Ying Deng, Jiapei Zhang, Xiaoyue Duan, Jinchao Zhang, Jie Zhou |
| 2025 | ICCV | A Visual Leap in Clip Compositionality Reasoning Through Generation of Counterfactual Sets. | Zexi Jia, Chuanwei Huang, Hongyan Fei, Yeshuang Zhu, Zhiqiang Yuan, Ying Deng, Jiapei Zhang, Jinchao Zhang, Jie Zhou |
| 2025 | ICCV | From Imitation to Innovation: The Emergence of Ai's Unique Artistic Styles and the Challenge of Copyright Protection. | Zexi Jia, Chuanwei Huang, Yeshuang Zhu, Hongyan Fei, Ying Deng, Zhiqiang Yuan, Jiapei Zhang, Jinchao Zhang, Jie Zhou |
| 2025 | ICCV | Authentic 4D Driving Simulation with a Video Generation Model. | Lening Wang, Wenzhao Zheng, Dalong Du, Yunpeng Zhang, Yilong Ren, Han Jiang, Zhiyong Cui, Haiyang Yu, Jie Zhou, Shanghang Zhang |
| 2025 | ICCV | EFTViT: Efficient Federated Training of Vision Transformers with Masked Images on Resource-Constrained Clients. | Meihan Wu, Tao Chang, Cui Miao, Jie Zhou, Chun Li, Xiangyu Xu, Ming Li, Xiaodong Wang |
| 2025 | ICCV | EmbodiedOcc: Embodied 3D Occupancy Prediction for Vision-Based Online Scene Understanding. | Yuqi Wu, Wenzhao Zheng, Sicheng Zuo, Yuanhui Huang, Jie Zhou, Jiwen Lu |
| 2025 | ICCV | Entropy-Adaptive Diffusion Policy Optimization with Dynamic Step Alignment. | Renye Yan, Jikang Cheng, Yaozhong Gan, Shikun Sun, You Wu, Yunfan Yang, Ling Liang, Jinlong Lin, Yeshuang Zhu, Jie Zhou, Jinchao Zhang, Junliang Xing, Yimao Cai, Ru Huang |
| 2025 | ICCV | WalkVLM: Aid Visually Impaired People Walking by Vision Language Model. | Zhiqiang Yuan, Ting Zhang, Yeshuang Zhu, Jiapei Zhang, Ying Deng, Zexi Jia, Peixiang Luo, Xiaoyue Duan, Jie Zhou, Jinchao Zhang |
| 2025 | ICCV | D | Yanran Zhang, Bingyao Yu, Yu Zheng, Wenzhao Zheng, Yueqi Duan, Lei Chen, Jie Zhou, Jiwen Lu |
| 2025 | ICCV | Learning Counterfactually Decoupled Attention for Open-World Model Attribution. | Yu Zheng, Boyang Gong, Fanye Kong, Yueqi Duan, Bingyao Yu, Wenzhao Zheng, Lei Chen, Jiwen Lu, Jie Zhou |
| 2025 | ICLR | MiniPLM: Knowledge Distillation for Pre-training Language Models. | Yuxian Gu, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang |
| 2025 | ICLR | Beyond Next Token Prediction: Patch-Level Training for Large Language Models. | Chenze Shao, Fandong Meng, Jie Zhou |
| 2025 | ICLR | DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory. | Yutong Wang, Jiali Zeng, Xuebo Liu, Derek F. Wong, Fandong Meng, Jie Zhou, Min Zhang |
| 2025 | ICLR | EmbodiedSAM: Online Segment Any 3D Thing in Real Time. | Xiuwei Xu, Huangxing Chen, Linqing Zhao, Ziwei Wang, Jie Zhou, Jiwen Lu |
| 2025 | ICLR | InstaRevive: One-Step Image Enhancement via Dynamic Score Matching. | Yixuan Zhu, Haolin Wang, Ao Li, Wenliang Zhao, Yansong Tang, Jingxuan Niu, Lei Chen, Jie Zhou, Jiwen Lu |
| 2025 | ICML | ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks. | Yufei Guo, Yuhan Zhang, Jie Zhou, Xiaode Liu, Xin Tong, Yuanpei Chen, Weihang Peng, Zhe Ma |
| 2025 | ICML | Continuous Visual Autoregressive Generation via Score Maximization. | Chenze Shao, Fandong Meng, Jie Zhou |
| 2025 | IJCAI | MC3D-AD: A Unified Geometry-aware Reconstruction Model for Multi-category 3D Anomaly Detection. | Jiayi Cheng, Can Gao, Jie Zhou, Jiajun Wen, Tao Dai, Jinbao Wang |
| 2025 | IJCAI | MedDiT: A Knowledge-Controlled Diffusion Transformer Framework for Dynamic Medical Image Generation in Virtual Simulated Patient. | Yanzeng Li, Cheng Zeng, Jinchao Zhang, Jie Zhou, Lei Zou |
| 2025 | IROS | Cockroach's Turning Strategy Enhanced Hexapod Robot with Flexible Torso. | Yiming Li, Xingyu Li, Jie Zhou, Chenfeng Xie, Yao Li, Bing Li |
| 2025 | IUI | 3D Touch Force Estimation from Capacitive Images. | Jinyang Yu, Chentao Li, Jianjiang Feng, Jie Zhou |
| 2025 | KDD | Personalized Language Model Learning on Text Data Without User Identifiers. | Yucheng Ding, Yangwenjian Tan, Xiangyu Liu, Chaoyue Niu, Fandong Meng, Jie Zhou, Ning Liu, Fan Wu, Guihai Chen |
| 2025 | NAACL | Understanding LLMs' Fluid Intelligence Deficiency: An Analysis of the ARC Task. | Junjie Wu, Mo Yu, Lemao Liu, Dit-Yan Yeung, Jie Zhou |
| 2025 | NAACL | The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept Understanding. | Mo Yu, Lemao Liu, Junjie Wu, Tsz Ting Chung, Shunchi Zhang, Jiangnan Li, Dit-Yan Yeung, Jie Zhou |
| 2025 | WACV | LiCamPose: Combining Multi-View LiDAR and RGB Cameras for Robust Single-timestamp 3D Human Pose Estimation. | Zhiyu Pan, Zhicheng Zhong, Wenxuan Guo, Yifan Chen, Jianjiang Feng, Jie Zhou |
| 2024 | AAAI | Learning Multi-Scale Video-Text Correspondence for Weakly Supervised Temporal Article Gronding. | Wenjia Geng, Yong Liu, Lei Chen, Sujia Wang, Jie Zhou, Yansong Tang |
| 2024 | AAAI | Generative Multi-Modal Knowledge Retrieval with Large Language Models. | Xinwei Long, Jiali Zeng, Fandong Meng, Zhiyuan Ma, Kaiyan Zhang, Bowen Zhou, Jie Zhou |
| 2024 | AAAI | MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA. | Lang Yu, Qin Chen, Jie Zhou, Liang He |
| 2024 | AAAI | Teaching Large Language Models to Translate with Comparison. | Jiali Zeng, Fandong Meng, Yongjing Yin, Jie Zhou |
| 2024 | AAAI | Tree-of-Reasoning Question Decomposition for Complex Question Answering with Large Language Models. | Kun Zhang, Jiali Zeng, Fandong Meng, Yuanzhuo Wang, Shiqi Sun, Long Bai, Huawei Shen, Jie Zhou |
| 2024 | ACL | Comments as Natural Logic Pivots: Improve Code Generation via Comment Perspective. | Yijie Chen, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou |
| 2024 | ACL | UltraEval: A Lightweight Platform for Flexible and Comprehensive Evaluation for LLMs. | Chaoqun He, Renjie Luo, Shengding Hu, Ranchi Zhao, Jie Zhou, Hanghao Wu, Jiajie Zhang, Xu Han, Zhiyuan Liu, Maosong Sun |
| 2024 | ACL | CSCD-NS: a Chinese Spelling Check Dataset for Native Speakers. | Yong Hu, Fandong Meng, Jie Zhou |
| 2024 | ACL | Translatotron-V(ison): An End-to-End Model for In-Image Machine Translation. | Zhibin Lan, Liqiang Niu, Fandong Meng, Jie Zhou, Min Zhang, Jinsong Su |
| 2024 | ACL | Continual Learning with Semi-supervised Contrastive Distillation for Incremental Neural Machine Translation. | Yunlong Liang, Fandong Meng, Jiaan Wang, Jinan Xu, Yufeng Chen, Jie Zhou |
| 2024 | ACL | BranchNorm: Robustly Scaling Extremely Deep Transformers. | Yijin Liu, Xianfeng Zeng, Fandong Meng, Jie Zhou |
| 2024 | ACL | Instruction Position Matters in Sequence Generation with Large Language Models. | Yijin Liu, Xianfeng Zeng, Chenze Shao, Fandong Meng, Jie Zhou |
| 2024 | ACL | Trust in Internal or External Knowledge? Generative Multi-Modal Entity Linking with Knowledge Retriever. | Xinwei Long, Jiali Zeng, Fandong Meng, Jie Zhou, Bowen Zhou |
| 2024 | ACL | Tell Me More! Towards Implicit User Intention Understanding of Language Model Driven Agents. | Cheng Qian, Bingxiang He, Zhong Zhuang, Jia Deng, Yujia Qin, Xin Cong, Zhong Zhang, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun |
| 2024 | ACL | Understanding and Addressing the Under-Translation Problem from the Perspective of Decoding Objective. | Chenze Shao, Fandong Meng, Jiali Zeng, Jie Zhou |
| 2024 | ACL | LCS: A Language Converter Strategy for Zero-Shot Neural Machine Translation. | Zengkui Sun, Yijin Liu, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou |
| 2024 | ACL | Outdated Issue Aware Decoding for Factual Knowledge Editing. | Zengkui Sun, Yijin Liu, Jiaan Wang, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou |
| 2024 | ACL | Exploring Conditional Variational Mechanism to Pinyin Input Method for Addressing One-to-Many Mappings in Low-Resource Scenarios. | Bin Sun, Jianfeng Li, Hao Zhou, Fandong Meng, Kan Li, Jie Zhou |
| 2024 | ACL | MAVEN-ARG: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation. | Xiaozhi Wang, Hao Peng, Yong Guan, Kaisheng Zeng, Jianhui Chen, Lei Hou, Xu Han, Yankai Lin, Zhiyuan Liu, Ruobing Xie, Jie Zhou, Juanzi Li |
| 2024 | ACL | TasTe: Teaching Large Language Models to Translate through Self-Reflection. | Yutong Wang, Jiali Zeng, Xuebo Liu, Fandong Meng, Jie Zhou, Min Zhang |
| 2024 | ACL | Fine-Grained Modeling of Narrative Context: A Coherence Perspective via Retrospective Questions. | Liyan Xu, Jiangnan Li, Mo Yu, Jie Zhou |
| 2024 | ACL | Plot Retrieval as an Assessment of Abstract Semantic Association. | Shicheng Xu, Liang Pang, Jiangnan Li, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou |
| 2024 | ACL | Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation. | Shicheng Xu, Liang Pang, Mo Yu, Fandong Meng, Huawei Shen, Xueqi Cheng, Jie Zhou |
| 2024 | ACL | Towards Multiple References Era - Addressing Data Leakage and Limited Reference Diversity in Machine Translation Evaluation. | Xianfeng Zeng, Yijin Liu, Fandong Meng, Jie Zhou |
| 2024 | ACL | Improving Machine Translation with Large Language Models: A Preliminary Study with Cooperative Decoding. | Jiali Zeng, Fandong Meng, Yongjing Yin, Jie Zhou |
| 2024 | CIKM | Boosting Large Language Models with Socratic Method for Conversational Mathematics Teaching. | Yuyang Ding, Hanglei Hu, Jie Zhou, Qin Chen, Bo Jiang, Liang He |
| 2024 | CIKM | Decoupled Behavior-based Contrastive Recommendation. | Mengduo Yang, Jie Zhou, Meng Xi, Xiaohua Pan, Yi Yuan, Ying Li, Yangyang Wu, Jinshan Zhang, Jianwei Yin |
| 2024 | CIKM | Benchmarking Challenges for Temporal Knowledge Graph Alignment. | Weixin Zeng, Jie Zhou, Xiang Zhao |
| 2024 | COLING | Let's Rectify Step by Step: Improving Aspect-based Sentiment Analysis with Diffusion Models. | Shunyu Liu, Jie Zhou, Qunxi Zhu, Qin Chen, Qingchun Bai, Jun Xiao, Liang He |
| 2024 | COLING | A Regularization-based Transfer Learning Method for Information Extraction via Instructed Graph Decoder. | Kedi Chen, Jie Zhou, Qin Chen, Shunyu Liu, Liang He |
| 2024 | COLING | Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis. | Zhenxiao Cheng, Jie Zhou, Wen Wu, Qin Chen, Liang He |
| 2024 | COLING | UMTIT: Unifying Recognition, Translation, and Generation for Multimodal Text Image Translation. | Liqiang Niu, Fandong Meng, Jie Zhou |
| 2024 | COLING | Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis. | Siyin Wang, Jie Zhou, Qin Chen, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2024 | COLING | DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding. | Jianhao Yan, Jin Xu, Fandong Meng, Jie Zhou, Yue Zhang |
| 2024 | CVPR | LiDAR-Based Person Re-Identification. | Wenxuan Guo, Zhiyu Pan, Yingping Liang, Ziheng Xi, Zhicheng Zhong, Jianjiang Feng, Jie Zhou |
| 2024 | CVPR | SelfOcc: Self-Supervised Vision-Based 3D Occupancy Prediction. | Yuanhui Huang, Wenzhao Zheng, Borui Zhang, Jie Zhou, Jiwen Lu |
| 2024 | CVPR | Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft. | Hao Li, Xue Yang, Zhaokai Wang, Xizhou Zhu, Jie Zhou, Yu Qiao, Xiaogang Wang, Hongsheng Li, Lewei Lu, Jifeng Dai |
| 2024 | CVPR | NTIRE 2024 Quality Assessment of AI-Generated Content Challenge. | Xiaohong Liu, Xiongkuo Min, Guangtao Zhai, Chunyi Li, Tengchuan Kou, Wei Sun, Haoning Wu, Yixuan Gao, Yuqin Cao, Zicheng Zhang, Xiele Wu, Radu Timofte, Fei Peng, Huiyuan Fu, Anlong Ming, Chuanming Wang, Huadong Ma, Shuai He, Zifei Dou, Shu Chen, Huacong Zhang, Haiyi Xie, Chengwei Wang, Baoying Chen, Jishen Zeng, Jianquan Yang, Weigang Wang, Xi Fang, Xiaoxin Lv, Jun Yan, Tianwu Zhi, Yabin Zhang, Yaohui Li, Yang Li, Jingwen Xu, Jianzhao Liu, Yiting Liao, Junlin Li, Zihao Yu, Fengbin Guan, Yiting Lu, Xin Li, Hossein Motamednia, S. Farhad Hosseini-Benvidi, Ahmad Mahmoudi-Aznaveh, Azadeh Mansouri, Ganzorig Gankhuyag, Kihwan Yoon, Yifang Xu, Haotian Fan, Fangyuan Kong, Shiling Zhao, Weifeng Dong, Haibing Yin, Li Zhu, Zhiling Wang, Bingchen Huang, Avinab Saha, Sandeep Mishra, Shashank Gupta, Rajesh Sureddi, Oindrila Saha, Luigi Celona, Simone Bianco, Paolo Napoletano, Raimondo Schettini, Junfeng Yang, Jing Fu, Wei Zhang, Wenzhi Cao, Limei Liu, Han Peng, Weijun Yuan, Zhan Li, Yihang Cheng, Yifan Deng, Haohui Li, Bowen Qu, Yao Li, Shuqing Luo, Shunzhou Wang, Wei Gao, Zihao Lu, Marcos V. Conde, Xinrui Wang, Zhibo Chen, Ruling Liao, Yan Ye, Qiulin Wang, Bing Li, Zhaokun Zhou, Miao Geng, Rui Chen, Xin Tao, Xiaoyu Liang, Shangkun Sun, Xingyuan Ma, Jiaze Li, Mengduo Yang, Haoran Xu, Jie Zhou, Shiding Zhu, Bohan Yu, Pengfei Chen, Xinrui Xu, Jiabin Shen, Zhichao Duan, Erfan Asadi, Jiahe Liu, Qi Yan, Youran Qu, Xiaohui Zeng, Lele Wang, Renjie Liao |
| 2024 | CVPR | NTIRE 2024 Challenge on Short-form UGC Video Quality Assessment: Methods and Results. | Xin Li, Kun Yuan, Yajing Pei, Yiting Lu, Ming Sun, Chao Zhou, Zhibo Chen, Radu Timofte, Wei Sun, Haoning Wu, Zicheng Zhang, Jun Jia, Zhichao Zhang, Linhan Cao, Qiubo Chen, Xiongkuo Min, Weisi Lin, Guangtao Zhai, Jianhui Sun, Tianyi Wang, Lei Li, Han Kong, Wenxuan Wang, Bing Li, Cheng Luo, Haiqiang Wang, Xiangguang Chen, Wenhui Meng, Xiang Pan, Huiying Shi, Han Zhu, Xiaozhong Xu, Lei Sun, Zhenzhong Chen, Shan Liu, Fangyuan Kong, Haotian Fan, Yifang Xu, Haoran Xu, Mengduo Yang, Jie Zhou, Jiaze Li, Shijie Wen, Mai Xu, Da Li, Shunyu Yao, Jiazhi Du, Wangmeng Zuo, Zhibo Li, Shuai He, Anlong Ming, Huiyuan Fu, Huadong Ma, Yong Wu, Fie Xue, Guozhi Zhao, Lina Du, Jie Guo, Yu Zhang, Huimin Zheng, Junhao Chen, Yue Liu, Dulan Zhou, Kele Xu, Qisheng Xu, Tao Sun, Zhixiang Ding, Yuhang Hu |
| 2024 | CVPR | Towards Accurate Post-Training Quantization for Diffusion Models. | Changyuan Wang, Ziwei Wang, Xiuwei Xu, Yansong Tang, Jie Zhou, Jiwen Lu |
| 2024 | CVPR | Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications. | Yuwen Xiong, Zhiqi Li, Yuntao Chen, Feng Wang, Xizhou Zhu, Jiapeng Luo, Wenhai Wang, Tong Lu, Hongsheng Li, Yu Qiao, Lewei Lu, Jie Zhou, Jifeng Dai |
| 2024 | CVPR | Memory-based Adapters for Online 3D Scene Perception. | Xiuwei Xu, Chong Xia, Ziwei Wang, Linqing Zhao, Yueqi Duan, Jie Zhou, Jiwen Lu |
| 2024 | CVPR | Short-form UGC Video Quality Assessment Based on Multi-Level Video Fusion with Rank-Aware. | Haoran Xu, Mengduo Yang, Jie Zhou, Jiaze Li |
| 2024 | CVPR | LowRankOcc: Tensor Decomposition and Low-Rank Recovery for Vision-Based 3D Semantic Occupancy Prediction. | Linqing Zhao, Xiuwei Xu, Ziwei Wang, Yunpeng Zhang, Borui Zhang, Wenzhao Zheng, Dalong Du, Jie Zhou, Jiwen Lu |
| 2024 | CVPR | DPMesh: Exploiting Diffusion Prior for Occluded Human Mesh Recovery. | Yixuan Zhu, Ao Li, Yansong Tang, Wenliang Zhao, Jie Zhou, Jiwen Lu |
| 2024 | CVPR | FlowIE: Efficient Image Enhancement via Rectified Flow. | Yixuan Zhu, Wenliang Zhao, Ao Li, Yansong Tang, Jie Zhou, Jiwen Lu |
| 2024 | ECCV | Camera-LiDAR Cross-Modality Gait Recognition. | Wenxuan Guo, Yingping Liang, Zhiyu Pan, Ziheng Xi, Jianjiang Feng, Jie Zhou |
| 2024 | ECCV | GaussianFormer: Scene as Gaussians for Vision-Based 3D Semantic Occupancy Prediction. | Yuanhui Huang, Wenzhao Zheng, Yunpeng Zhang, Jie Zhou, Jiwen Lu |
| 2024 | ECCV | Learning Dual-Level Deformable Implicit Representation for Real-World Scale Arbitrary Super-Resolution. | Zhiheng Li, Muheng Li, Jixuan Fan, Lei Chen, Yansong Tang, Jiwen Lu, Jie Zhou |
| 2024 | ECCV | SpatialFormer: Towards Generalizable Vision Transformers with Explicit Spatial Understanding. | Han Xiao, Wenzhao Zheng, Sicheng Zuo, Peng Gao, Jie Zhou, Jiwen Lu |
| 2024 | ECCV | DSPDet3D: 3D Small Object Detection with Dynamic Spatial Pruning. | Xiuwei Xu, Zhihao Sun, Ziwei Wang, Hongmin Liu, Jie Zhou, Jiwen Lu |
| 2024 | ECCV | ProtoComp: Diverse Point Cloud Completion with Controllable Prototype. | Xumin Yu, Yanbo Wang, Jie Zhou, Jiwen Lu |
| 2024 | ECCV | DC-Solver: Improving Predictor-Corrector Diffusion Sampler via Dynamic Compensation. | Wenliang Zhao, Haolin Wang, Jie Zhou, Jiwen Lu |
| 2024 | EMNLP | Enhancing Byzantine-Resistant Aggregations with Client Embedding. | Zhiyuan Zhang, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun |
| 2024 | EMNLP | DiaHalu: A Dialogue-level Hallucination Evaluation Benchmark for Large Language Models. | Kedi Chen, Qin Chen, Jie Zhou, Yishen He, Liang He |
| 2024 | EMNLP | Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis. | Xuanwen Ding, Jie Zhou, Liang Dou, Qin Chen, Yuanbin Wu, Arlene Chen, Liang He |
| 2024 | EMNLP | Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment. | Yiju Guo, Ganqu Cui, Lifan Yuan, Ning Ding, Zexu Sun, Bowen Sun, Huimin Chen, Ruobing Xie, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun |
| 2024 | EMNLP | On the token distance modeling ability of higher RoPE attention dimension. | Xiangyu Hong, Che Jiang, Biqing Qi, Fandong Meng, Mo Yu, Bowen Zhou, Jie Zhou |
| 2024 | EMNLP | C-LLM: Learn to Check Chinese Spelling Errors Character by Character. | Kunting Li, Yong Hu, Liang He, Fandong Meng, Jie Zhou |
| 2024 | EMNLP | Identifying Factual Inconsistencies in Summaries: Grounding LLM Inference via Task Taxonomy. | Liyan Xu, Zhenlin Su, Mo Yu, Jin Xu, Jinho D. Choi, Jie Zhou, Fei Liu |
| 2024 | EMNLP | Multi-Level Cross-Modal Alignment for Speech Relation Extraction. | Liang Zhang, Zhen Yang, Biao Fu, Ziyao Lu, Liangying Shao, Shiyu Liu, Fandong Meng, Jie Zhou, Xiaoli Wang, Jinsong Su |
| 2024 | EMNLP | DecorateLM: Data Engineering through Corpus Rating, Tagging, and Editing with Language Models. | Ranchi Zhao, Zhen Leng Thai, Yifan Zhang, Shengding Hu, Jie Zhou, Yunqi Ba, Jie Cai, Zhiyuan Liu, Maosong Sun |
| 2024 | FUSION | Multisensor Estimation Fusion Based on Kernel Mean Embedding. | Mingjie Luo, Jie Zhou, Qingke Zou |
| 2024 | FUSION | Hyperspectral Super-Resolution Using Nonlinear Unmixing and Nonnegative Tensor Factorization. | Qingke Zou, Jie Zhou |
| 2024 | HCI | Digitization of Cultural Relics: Augmented Reality Display of Ru Ware. | Jie Zhou, Xinyue Liu |
| 2024 | ICANN | SCI-Font: Enhancing Content-Style Representation for Chinese Calligraphy Generation with Skeleton, Contour and Inexact Paired Data. | Yan Zhang, Yefei Wang, Jialu Xiong, Jie Zhou, Jinshan Zeng |
| 2024 | ICASSP | Enhancing Note-Level Singing Transcription Model with Unlabeled and Weakly Labeled Data. | Yao Qiu, Jinchao Zhang, Yong Shan, Jie Zhou |
| 2024 | ICASSP | A Soft Contrastive Learning-Based Prompt Model for Few-Shot Sentiment Analysis. | Jingyi Zhou, Jie Zhou, Jiabao Zhao, Siyin Wang, Haijun Shan, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2024 | ICDE | Towards a Shared-Storage-Based Serverless Database Achieving Seamless Scale-Up and Read Scale-Out. | Yingqiang Zhang, Xinjun Yang, Hao Chen, Feifei Li, Jiawei Xu, Jie Zhou, Xudong Wu, Qiang Zhang |
| 2024 | ICLR | AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors. | Weize Chen, Yusheng Su, Jingwei Zuo, Cheng Yang, Chenfei Yuan, Chi-Min Chan, Heyang Yu, Yaxi Lu, Yi-Hsin Hung, Chen Qian, Yujia Qin, Xin Cong, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou |
| 2024 | ICLR | ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs. | Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, Sihan Zhao, Lauren Hong, Runchu Tian, Ruobing Xie, Jie Zhou, Mark Gerstein, Dahai Li, Zhiyuan Liu, Maosong Sun |
| 2024 | ICLR | Towards Codable Watermarking for Injecting Multi-Bits Information to LLMs. | Lean Wang, Wenkai Yang, Deli Chen, Hao Zhou, Yankai Lin, Fandong Meng, Jie Zhou, Xu Sun |
| 2024 | ICLR | Path Choice Matters for Clear Attributions in Path Methods. | Borui Zhang, Wenzhao Zheng, Jie Zhou, Jiwen Lu |
| 2024 | ICLR | Large Language Models Are Not Robust Multiple Choice Selectors. | Chujie Zheng, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang |
| 2024 | ICML | Language Generation with Strictly Proper Scoring Rules. | Chenze Shao, Fandong Meng, Yijin Liu, Jie Zhou |
| 2024 | ICML | Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind. | Mo Yu, Qiujing Wang, Shunchi Zhang, Yisi Sang, Kangsheng Pu, Zekai Wei, Han Wang, Liyan Xu, Jing Li, Yue Yu, Jie Zhou |
| 2024 | ICML | Exploring the Benefit of Activation Sparsity in Pre-training. | Zhengyan Zhang, Chaojun Xiao, Qiujieli Qin, Yankai Lin, Zhiyuan Zeng, Xu Han, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Jie Zhou |
| 2024 | ICML | On Prompt-Driven Safeguarding for Large Language Models. | Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang, Nanyun Peng |
| 2024 | IJCNN | Enhancing Event Causality Identification with Rationale and Structure-Aware Causal Question Answering. | Baiyan Zhang, Qin Chen, Jie Zhou, Jian Jin, Liang He |
| 2024 | IWQoS | FedEKT: Ensemble Knowledge Transfer for Model-Heterogeneous Federated Learning. | Meihan Wu, Li Li, Tao Chang, Peng Qiao, Cui Miao, Jie Zhou, Jingnan Wang, Xiaodong Wang |
| 2024 | IWQoS | PFed-DBA: Distribution Bias Aware Personalized Federated Learning for Data Heterogeneity. | Meihan Wu, Li Li, Tao Chang, Jie Zhou, Eric Rigall, Cui Miao, Xiaodong Wang, Chengzhong Xu |
| 2024 | NAACL | On Large Language Models' Hallucination with Regard to Known Facts. | Che Jiang, Biqing Qi, Xiangyu Hong, Dayuan Fu, Yang Cheng, Fandong Meng, Mo Yu, Bowen Zhou, Jie Zhou |
| 2024 | NAACL | XAL: EXplainable Active Learning Makes Classifiers Better Low-resource Learners. | Yun Luo, Zhen Yang, Fandong Meng, Yingjie Li, Fang Guo, Qinglin Qi, Jie Zhou, Yue Zhang |
| 2024 | RecSys | Scene-wise Adaptive Network for Dynamic Cold-start Scenes Optimization in CTR Prediction. | Wenhao Li, Jie Zhou, Chuan Luo, Chao Tang, Kun Zhang, Shixiong Zhao |
| 2024 | RecSys | Adaptive Fusion of Multi-View for Graph Contrastive Recommendation. | Mengduo Yang, Yi Yuan, Jie Zhou, Meng Xi, Xiaohua Pan, Ying Li, Yangyang Wu, Jinshan Zhang, Jianwei Yin |
| 2024 | SIGIR | Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check. | Linhao Ye, Zhikai Lei, Jianghao Yin, Qin Chen, Jie Zhou, Liang He |
| 2024 | SIGCOMM | YuanRong: A Production General-purpose Serverless System for Distributed Applications in the Cloud. | Qiong Chen, Jianmin Qian, Yulin Che, Ziqi Lin, Jianfeng Wang, Jie Zhou, Licheng Song, Yi Liang, Jie Wu, Wei Zheng, Wei Liu, Linfeng Li, Fangming Liu, Kun Tan |
| 2024 | SiggraphA | DrawingSpinUp: 3D Animation from Single Character Drawings. | Jie Zhou, Chufeng Xiao, Miu-Ling Lam, Hongbo Fu |
| 2024 | WiOpt | Reconfigurable Intelligent Surfaces-Assisted Task-Oriented Communications for AI-Driven Vertical Applications. | Shuaishuai Guo, Jie Zhou, Zhengyang Li, Peng Zhang, Shuang Zhang |
| 2023 | AAAI | Rephrasing the Reference for Non-autoregressive Machine Translation. | Chenze Shao, Jinchao Zhang, Jie Zhou, Yang Feng |
| 2023 | AAAI | A Simple Baseline for Multi-Camera 3D Object Detection. | Yunpeng Zhang, Wenzhao Zheng, Zheng Zhu, Guan Huang, Jiwen Lu, Jie Zhou |
| 2023 | AAAI | Feature Decomposition for Reducing Negative Transfer: A Novel Multi-Task Learning Method for Recommender System (Student Abstract). | Jie Zhou, Qian Yu, Chuan Luo, Jing Zhang |
| 2023 | ACL | Stochastic Bridges as Effective Regularizers for Parameter-Efficient Tuning. | Weize Chen, Xu Han, Yankai Lin, Zhiyuan Liu, Maosong Sun, Jie Zhou |
| 2023 | ACL | Summary-Oriented Vision Modeling for Multimodal Abstractive Summarization. | Yunlong Liang, Fandong Meng, Jinan Xu, Jiaan Wang, Yufeng Chen, Jie Zhou |
| 2023 | ACL | Question-Interlocutor Scope Realized Graph Modeling over Key Utterances for Dialogue Reading Comprehension. | Jiangnan Li, Mo Yu, Fandong Meng, Zheng Lin, Peng Fu, Weiping Wang, Jie Zhou |
| 2023 | ACL | WebCPM: Interactive Web Search for Chinese Long-form Question Answering. | Yujia Qin, Zihan Cai, Dian Jin, Lan Yan, Shihao Liang, Kunlun Zhu, Yankai Lin, Xu Han, Ning Ding, Huadong Wang, Ruobing Xie, Fanchao Qi, Zhiyuan Liu, Maosong Sun, Jie Zhou |
| 2023 | ACL | Recyclable Tuning for Continual Pre-training. | Yujia Qin, Cheng Qian, Xu Han, Yankai Lin, Huadong Wang, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou |
| 2023 | ACL | Towards Unifying Multi-Lingual and Cross-Lingual Summarization. | Jiaan Wang, Fandong Meng, Duo Zheng, Yunlong Liang, Zhixu Li, Jianfeng Qu, Jie Zhou |
| 2023 | ACL | Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model. | Xiao Wang, Weikang Zhou, Qi Zhang, Jie Zhou, Songyang Gao, Junzhe Wang, Menghan Zhang, Xiang Gao, Yunwen Chen, Tao Gui |
| 2023 | ACL | A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition. | Limao Xiong, Jie Zhou, Qunxi Zhu, Xiao Wang, Yuanbin Wu, Qi Zhang, Tao Gui, Xuanjing Huang, Jin Ma, Ying Shan |
| 2023 | ACL | Rethinking the Word-level Quality Estimation for Machine Translation from Human Judgement. | Zhen Yang, Fandong Meng, Yuanmeng Yan, Jie Zhou |
| 2023 | ACL | Consistency Regularization Training for Compositional Generalization. | Yongjing Yin, Jiali Zeng, Yafu Li, Fandong Meng, Jie Zhou, Yue Zhang |
| 2023 | ACL | Personality Understanding of Fictional Characters during Book Reading. | Mo Yu, Jiangnan Li, Shunyu Yao, Wenjie Pang, Xiaochen Zhou, Xiao Zhou, Fandong Meng, Jie Zhou |
| 2023 | ACL | Soft Language Clustering for Multilingual Model Pre-training. | Jiali Zeng, Yufan Jiang, Yongjing Yin, Yi Jing, Fandong Meng, Binghuai Lin, Yunbo Cao, Jie Zhou |
| 2023 | ACL | Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias. | Zhiyuan Zhang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun |
| 2023 | ACL | Plug-and-Play Knowledge Injection for Pre-trained Language Models. | Zhengyan Zhang, Zhiyuan Zeng, Yankai Lin, Huadong Wang, Deming Ye, Chaojun Xiao, Xu Han, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou |
| 2023 | ACL | Emergent Modularity in Pre-trained Transformers. | Zhengyan Zhang, Zhiyuan Zeng, Yankai Lin, Chaojun Xiao, Xiaozhi Wang, Xu Han, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Jie Zhou |
| 2023 | ACL | RC3: Regularized Contrastive Cross-lingual Cross-modal Pre-training. | Chulun Zhou, Yunlong Liang, Fandong Meng, Jinan Xu, Jinsong Su, Jie Zhou |
| 2023 | CVPR | Towards All-in-One Pre-Training via Maximizing Multi-Modal Mutual Information. | Weijie Su, Xizhou Zhu, Chenxin Tao, Lewei Lu, Bin Li, Gao Huang, Yu Qiao, Xiaogang Wang, Jie Zhou, Jifeng Dai |
| 2023 | CVPR | Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction. | Yuanhui Huang, Wenzhao Zheng, Yunpeng Zhang, Jie Zhou, Jiwen Lu |
| 2023 | CVPR | Diffusion-SDF: Text-to-Shape via Voxelized Diffusion. | Muheng Li, Yueqi Duan, Jie Zhou, Jiwen Lu |
| 2023 | CVPR | DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits Animation. | Shuai Shen, Wenliang Zhao, Zibin Meng, Wanhua Li, Zheng Zhu, Jie Zhou, Jiwen Lu |
| 2023 | CVPR | FLAG3D: A 3D Fitness Activity Dataset with Language Instruction. | Yansong Tang, Jinpeng Liu, Aoyang Liu, Bin Yang, Wenxun Dai, Yongming Rao, Jiwen Lu, Jie Zhou, Xiu Li |
| 2023 | CVPR | Siamese Image Modeling for Self-Supervised Vision Representation Learning. | Chenxin Tao, Xizhou Zhu, Weijie Su, Gao Huang, Bin Li, Jie Zhou, Yu Qiao, Xiaogang Wang, Jifeng Dai |
| 2023 | CVPR | Deep Factorized Metric Learning. | Chengkun Wang, Wenzhao Zheng, Junlong Li, Jie Zhou, Jiwen Lu |
| 2023 | CVPR | Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis. | Xiuwei Xu, Ziwei Wang, Jie Zhou, Jiwen Lu |
| 2023 | CVPR | BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision. | Chenyu Yang, Yuntao Chen, Hao Tian, Chenxin Tao, Xizhou Zhu, Zhaoxiang Zhang, Gao Huang, Hongyang Li, Yu Qiao, Lewei Lu, Jie Zhou, Jifeng Dai |
| 2023 | CVPR | LOGO: A Long-Form Video Dataset for Group Action Quality Assessment. | Shiyi Zhang, Wenxun Dai, Sujia Wang, Xiangwei Shen, Jiwen Lu, Jie Zhou, Yansong Tang |
| 2023 | CVPR | DiffSwap: High-Fidelity and Controllable Face Swapping via 3D-Aware Masked Diffusion. | Wenliang Zhao, Yongming Rao, Weikang Shi, Zuyan Liu, Jie Zhou, Jiwen Lu |
| 2023 | EACL | Enhancing Dialogue Generation with Conversational Concept Flows. | Siheng Li, Wangjie Jiang, Pengda Si, Cheng Yang, Yao Qiu, Jinchao Zhang, Jie Zhou, Yujiu Yang |
| 2023 | EMNLP | Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models. | Weize Chen, Xiaoyue Xu, Xu Han, Yankai Lin, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou |
| 2023 | EMNLP | D²TV: Dual Knowledge Distillation and Target-oriented Vision Modeling for Many-to-Many Multimodal Summarization. | Yunlong Liang, Fandong Meng, Jiaan Wang, Jinan Xu, Yufeng Chen, Jie Zhou |
| 2023 | EMNLP | Multi-Source Probing for Open-Domain Conversational Understanding. | Yuanxi Li, Hao Zhou, Jie Zhou, Minlie Huang |
| 2023 | EMNLP | Enhancing Argument Structure Extraction with Efficient Leverage of Contextual Information. | Yun Luo, Zhen Yang, Fandong Meng, Yingjie Li, Jie Zhou, Yue Zhang |
| 2023 | EMNLP | Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning. | Lean Wang, Lei Li, Damai Dai, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun |
| 2023 | EMNLP | Understanding Translationese in Cross-Lingual Summarization. | Jiaan Wang, Fandong Meng, Yunlong Liang, Tingyi Zhang, Jiarong Xu, Zhixu Li, Jie Zhou |
| 2023 | EMNLP | Re³Dial: Retrieve, Reorganize and Rescale Conversations for Long-Turn Open-Domain Dialogue Pre-training. | Jiaxin Wen, Hao Zhou, Jian Guan, Jie Zhou, Minlie Huang |
| 2023 | EMNLP | Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules. | Chaojun Xiao, Yuqi Luo, Wenbin Zhang, Pengle Zhang, Xu Han, Yankai Lin, Zhengyan Zhang, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou |
| 2023 | EMNLP | RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification. | Junjie Ye, Jie Zhou, Junfeng Tian, Rui Wang, Qi Zhang, Tao Gui, Xuanjing Huang |
| 2023 | EMNLP | HyperNetwork-based Decoupling to Improve Model Generalization for Few-Shot Relation Extraction. | Liang Zhang, Chulun Zhou, Fandong Meng, Jinsong Su, Yidong Chen, Jie Zhou |
| 2023 | ICANN | Low-Frequency Features Optimization for Transferability Enhancement in Radar Target Adversarial Attack. | Bo Peng, Bowen Peng, Jie Zhou, Xichen Huang, Lingxin Meng, Xunzhang Gao |
| 2023 | ICASSP | Tell Model Where to Attend: Improving Interpretability of Aspect-Based Sentiment Classification via Small Explanation Annotations. | Zhenxiao Cheng, Jie Zhou, Wen Wu, Qin Chen, Liang He |
| 2023 | ICCV | Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models. | Ziyi Wang, Xumin Yu, Yongming Rao, Jie Zhou, Jiwen Lu |
| 2023 | ICCV | Skip-Plan: Procedure Planning in Instructional Videos via Condensed Action Space Learning. | Zhiheng Li, Wenjia Geng, Muheng Li, Lei Chen, Yansong Tang, Jiwen Lu, Jie Zhou |
| 2023 | ICCV | TCOVIS: Temporally Consistent Online Video Instance Segmentation. | Junlong Li, Bingyao Yu, Yongming Rao, Jie Zhou, Jiwen Lu |
| 2023 | ICCV | CLIP-Cluster: CLIP-Guided Attribute Hallucination for Face Clustering. | Shuai Shen, Wanhua Li, Xiaobing Wang, Dafeng Zhang, Zhezhu Jin, Jie Zhou, Jiwen Lu |
| 2023 | ICCV | OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions. | Chengkun Wang, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu |
| 2023 | ICCV | SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving. | Yi Wei, Linqing Zhao, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu |
| 2023 | ICCV | Token-Label Alignment for Vision Transformers. | Han Xiao, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu |
| 2023 | ICCV | Unleashing Text-to-Image Diffusion Models for Visual Perception. | Wenliang Zhao, Yongming Rao, Zuyan Liu, Benlin Liu, Jie Zhou, Jiwen Lu |
| 2023 | ICDE | HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction. | Jie Zhou, Xianshuai Cao, Wenhao Li, Lin Bo, Kun Zhang, Chuan Luo, Qian Yu |
| 2023 | ICLR | Transformer-Patcher: One Mistake Worth One Neuron. | Zeyu Huang, Yikang Shen, Xiaofeng Zhang, Jie Zhou, Wenge Rong, Zhang Xiong |
| 2023 | ICLR | GAIN: On the Generalization of Instructional Action Understanding. | Junlong Li, Guangyi Chen, Yansong Tang, Jinan Bao, Kun Zhang, Jie Zhou, Jiwen Lu |
| 2023 | ICLR | Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint. | Borui Zhang, Wenzhao Zheng, Jie Zhou, Jiwen Lu |
| 2023 | ICONIP | Informative Prompt Learning for Low-Shot Commonsense Question Answering via Fine-Grained Redundancy Reduction. | Zhikai Lei, Jie Zhou, Qin Chen, Qi Zhang, Liang He |
| 2023 | IJCAI | Humming2Music: Being A Composer As Long As You Can Humming. | Yao Qiu, Jinchao Zhang, Huiying Ren, Yong Shan, Jie Zhou |
| 2023 | IJCAI | LingGe: An Automatic Ancient Chinese Poem-to-Song Generation System. | Yong Shan, Jinchao Zhang, Huiying Ren, Yao Qiu, Jie Zhou |
| 2023 | IJCNN | Enhancing Chinese Calligraphy Generation with Contour and Region-aware Attention. | Jinshan Zeng, Ling Tu, Jie Zhou, Yefei Wang, Jiguo Zeng |
| 2023 | ICTAI | Modeling Intra- and Inter-Modal Alignment with Optimal Transport for Visual Dialog. | Renjie Zheng, Qin Chen, Jie Zhou, Junfeng Tian, Liang He |
| 2023 | RecSys | Interpretable User Retention Modeling in Recommendation. | Rui Ding, Ruobing Xie, Xiaobo Hao, Xiaochun Yang, Kaikai Ge, Xu Zhang, Jie Zhou, Leyu Lin |
| 2023 | RecSys | Exploring False Hard Negative Sample in Cross-Domain Recommendation. | Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang, Leyu Lin, Jie Zhou |
| 2023 | SIGIR | Attacking Pre-trained Recommendation. | Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He |
| 2022 | AAAI | Efficient Non-local Contrastive Attention for Image Super-resolution. | Bin Xia, Yucheng Hang, Yapeng Tian, Wenming Yang, Qingmin Liao, Jie Zhou |
| 2022 | AAAI | Coarse-to-Fine Embedded PatchMatch and Multi-Scale Dynamic Aggregation for Reference-Based Super-resolution. | Bin Xia, Yapeng Tian, Yucheng Hang, Wenming Yang, Qingmin Liao, Jie Zhou |
| 2022 | ACL | Dual Context-Guided Continuous Prompt Tuning for Few-Shot Learning. | Jie Zhou, Le Tian, Houjin Yu, Xiao Zhou, Hui Su, Jie Zhou |
| 2022 | ACL | Fully Hyperbolic Neural Networks. | Weize Chen, Xu Han, Yankai Lin, Hexu Zhao, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou |
| 2022 | ACL | BMInf: An Efficient Toolkit for Big Model Inference and Tuning. | Xu Han, Guoyang Zeng, Weilin Zhao, Zhiyuan Liu, Zhengyan Zhang, Jie Zhou, Jun Zhang, Jia Chao, Maosong Sun |
| 2022 | ACL | CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation. | Pei Ke, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Xiaoyan Zhu, Minlie Huang |
| 2022 | ACL | Scheduled Multi-task Learning for Neural Chat Translation. | Yunlong Liang, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou |
| 2022 | ACL | MSCTD: A Multimodal Sentiment Chat Translation Dataset. | Yunlong Liang, Fandong Meng, Jinan Xu, Yufeng Chen, Jie Zhou |
| 2022 | ACL | A Variational Hierarchical Model for Neural Cross-Lingual Summarization. | Yunlong Liang, Fandong Meng, Chulun Zhou, Jinan Xu, Yufeng Chen, Jinsong Su, Jie Zhou |
| 2022 | ACL | Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable Approach. | Xin Lv, Yankai Lin, Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu, Peng Li, Jie Zhou |
| 2022 | ACL | Divide and Denoise: Learning from Noisy Labels in Fine-Grained Entity Typing with Cluster-Wise Loss Correction. | Kunyuan Pang, Haoyu Zhang, Jie Zhou, Ting Wang |
| 2022 | ACL | ELLE: Efficient Lifelong Pre-training for Emerging Data. | Yujia Qin, Jiajie Zhang, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou |
| 2022 | ACL | Unsupervised Dependency Graph Network. | Yikang Shen, Shawn Tan, Alessandro Sordoni, Peng Li, Jie Zhou, Aaron C. Courville |
| 2022 | ACL | RoCBert: Robust Chinese Bert with Multimodal Contrastive Pretraining. | Hui Su, Weiwei Shi, Xiaoyu Shen, Xiao Zhou, Tuo Ji, Jiarui Fang, Jie Zhou |
| 2022 | ACL | EAG: Extract and Generate Multi-way Aligned Corpus for Complete Multi-lingual Neural Machine Translation. | Yulin Xu, Zhen Yang, Fandong Meng, Jie Zhou |
| 2022 | ACL | MoEfication: Transformer Feed-forward Layers are Mixtures of Experts. | Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou |
| 2022 | ACL | Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation. | Songming Zhang, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jian Liu, Jie Zhou |
| 2022 | ACL | Selecting Stickers in Open-Domain Dialogue through Multitask Learning. | Zhexin Zhang, Yeshuang Zhu, Zhengcong Fei, Jinchao Zhang, Jie Zhou |
| 2022 | ACL | Confidence Based Bidirectional Global Context Aware Training Framework for Neural Machine Translation. | Chulun Zhou, Fandong Meng, Jie Zhou, Min Zhang, Hongji Wang, Jinsong Su |
| 2022 | COLING | An Information Minimization Based Contrastive Learning Model for Unsupervised Sentence Embeddings Learning. | Shaobin Chen, Jie Zhou, Yuling Sun, Liang He |
| 2022 | COLING | Causal Intervention Improves Implicit Sentiment Analysis. | Siyin Wang, Jie Zhou, Changzhi Sun, Junjie Ye, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2022 | COLING | TAKE: Topic-shift Aware Knowledge sElection for Dialogue Generation. | Chenxu Yang, Zheng Lin, Jiangnan Li, Fandong Meng, Weiping Wang, Lanrui Wang, Jie Zhou |
| 2022 | COLING | Categorizing Semantic Representations for Neural Machine Translation. | Yongjing Yin, Yafu Li, Fandong Meng, Jie Zhou, Yue Zhang |
| 2022 | COLING | Automatic Label Sequence Generation for Prompting Sequence-to-sequence Models. | Zichun Yu, Tianyu Gao, Zhengyan Zhang, Yankai Lin, Zhiyuan Liu, Maosong Sun, Jie Zhou |
| 2022 | COLING | TSAM: A Two-Stream Attention Model for Causal Emotion Entailment. | Duzhen Zhang, Zhen Yang, Fandong Meng, Xiuyi Chen, Jie Zhou |
| 2022 | COLING | RSGT: Relational Structure Guided Temporal Relation Extraction. | Jie Zhou, Shenpo Dong, Hongkui Tu, Xiaodong Wang, Yong Dou |
| 2022 | COLING | A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck. | Jie Zhou, Qi Zhang, Qin Chen, Liang He, Xuanjing Huang |
| 2022 | CoRL | SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation. | Yi Wei, Linqing Zhao, Wenzhao Zheng, Zheng Zhu, Yongming Rao, Guan Huang, Jiwen Lu, Jie Zhou |
| 2022 | CVPR | Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion. | Tianpei Gu, Guangyi Chen, Junlong Li, Chunze Lin, Yongming Rao, Jie Zhou, Jiwen Lu |
| 2022 | CVPR | Bridge-Prompt: Towards Ordinal Action Understanding in Instructional Videos. | Muheng Li, Lei Chen, Yueqi Duan, Zhilan Hu, Jianjiang Feng, Jie Zhou, Jiwen Lu |
| 2022 | CVPR | DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting. | Yongming Rao, Wenliang Zhao, Guangyi Chen, Yansong Tang, Zheng Zhu, Guan Huang, Jie Zhou, Jiwen Lu |
| 2022 | CVPR | SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation. | Ziyi Wang, Yongming Rao, Xumin Yu, Jie Zhou, Jiwen Lu |
| 2022 | CVPR | Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search. | Han Xiao, Ziwei Wang, Zheng Zhu, Jie Zhou, Jiwen Lu |
| 2022 | CVPR | FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment. | Jinglin Xu, Yongming Rao, Xumin Yu, Guangyi Chen, Jie Zhou, Jiwen Lu |
| 2022 | CVPR | Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label Enhancement. | Xiuwei Xu, Yifan Wang, Yu Zheng, Yongming Rao, Jie Zhou, Jiwen Lu |
| 2022 | CVPR | Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling. | Xumin Yu, Lulu Tang, Yongming Rao, Tiejun Huang, Jie Zhou, Jiwen Lu |
| 2022 | CVPR | Attributable Visual Similarity Learning. | Borui Zhang, Wenzhao Zheng, Jie Zhou, Jiwen Lu |
| 2022 | CVPR | Dimension Embeddings for Monocular 3D Object Detection. | Yunpeng Zhang, Wenzhao Zheng, Zheng Zhu, Guan Huang, Dalong Du, Jie Zhou, Jiwen Lu |
| 2022 | CVPR | HyperDet3D: Learning a Scene-conditioned 3D Object Detector. | Yu Zheng, Yueqi Duan, Jiwen Lu, Jie Zhou, Qi Tian |
| 2022 | ECCV | Label2Label: A Language Modeling Framework for Multi-attribute Learning. | Wanhua Li, Zhexuan Cao, Jianjiang Feng, Jie Zhou, Jiwen Lu |
| 2022 | ECCV | Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution. | Cheng Ma, Jingyi Zhang, Jie Zhou, Jiwen Lu |
| 2022 | ECCV | AMixer: Adaptive Weight Mixing for Self-attention Free Vision Transformers. | Yongming Rao, Wenliang Zhao, Jie Zhou, Jiwen Lu |
| 2022 | ECCV | Learning Dynamic Facial Radiance Fields for Few-Shot Talking Head Synthesis. | Shuai Shen, Wanhua Li, Zheng Zhu, Yueqi Duan, Jie Zhou, Jiwen Lu |
| 2022 | ECCV | LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object Detection. | Yi Wei, Zibu Wei, Yongming Rao, Jiaxin Li, Jie Zhou, Jiwen Lu |
| 2022 | ECCV | Dynamic Metric Learning with Cross-Level Concept Distillation. | Wenzhao Zheng, Yuan Huang, Borui Zhang, Jie Zhou, Jiwen Lu |
| 2022 | ECCV | Shap-CAM: Visual Explanations for Convolutional Neural Networks Based on Shapley Value. | Quan Zheng, ZiWei Wang, Jie Zhou, Jiwen Lu |
| 2022 | EMNLP | Towards Robust k-Nearest-Neighbor Machine Translation. | Hui Jiang, Ziyao Lu, Fandong Meng, Chulun Zhou, Jie Zhou, Degen Huang, Jinsong Su |
| 2022 | EMNLP | ROSE: Robust Selective Fine-tuning for Pre-trained Language Models. | Lan Jiang, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Rui Jiang |
| 2022 | EMNLP | Cross-Align: Modeling Deep Cross-lingual Interactions for Word Alignment. | Siyu Lai, Zhen Yang, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou |
| 2022 | EMNLP | From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models. | Lei Li, Yankai Lin, Xuancheng Ren, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun |
| 2022 | EMNLP | Counterfactual Data Augmentation via Perspective Transition for Open-Domain Dialogues. | Jiao Ou, Jinchao Zhang, Yang Feng, Jie Zhou |
| 2022 | EMNLP | Exploring Mode Connectivity for Pre-trained Language Models. | Yujia Qin, Cheng Qian, Jing Yi, Weize Chen, Yankai Lin, Xu Han, Zhiyuan Liu, Maosong Sun, Jie Zhou |