| 2026 | AAAI | IS-Bench: Evaluating Interactive Safety of VLM-Driven Embodied Agents in Daily Household Tasks. | Xiaoya Lu, Zeren Chen, Xuhao Hu, Yijin Zhou, Weichen Zhang, Dongrui Liu, Lu Sheng, Jing Shao |
| 2026 | AAAI | Response Attack: Exploiting Contextual Priming to Jailbreak Large Language Models. | Ziqi Miao, Lijun Li, Yuan Xiong, Zhenhua Liu, Pengyu Zhu, Jing Shao |
| 2026 | ACL | SEARL: Joint Optimization of Policy and Tool Graph Memory for Self-Evolving Agents. | Xinshun Feng, Xinhao Song, Lijun Li, Gongshen Liu, Jing Shao |
| 2026 | ACL | LLMs Deceive Unintentionally: Emergent Misalignment in Dishonesty from Misaligned Samples to Biased Human-AI Interactions. | Xuhao Hu, Peng Wang, Xiaoya Lu, Dongrui Liu, Xuanjing Huang, Jing Shao |
| 2026 | ACL | Evolutionary Guided Decoding: Iterative Value Refinement for LLMs. | Zhenhua Liu, Lijun Li, Ruizhe Chen, Yuxian Jiang, Tong Zhu, Zhaochen Su, Wenliang Chen, Jing Shao |
| 2026 | ACL | HarmRLVR: Weaponizing Verifiable Rewards for Harmful LLM Alignment. | Yuexiao Liu, Lijun Li, Xingjun Wang, Jing Shao |
| 2026 | ACL | ToolSafe: Enhancing Tool Invocation Safety of LLM-based agents via Proactive Step-level Guardrail and Feedback. | Yutao Mou, Zhangchi Xue, Lijun Li, Peiyang Liu, Shikun Zhang, Wei Ye, Jing Shao |
| 2026 | ACL | ReasonAny: Incorporating Reasoning Capability to Any Model via Simple and Effective Model Merging. | Junyao Yang, Chen Qian, Wen Shen, Yong Liu, Jing Shao, Dongrui Liu |
| 2026 | ICDCS | SPML: A Proactive Congestion Control Scheme for Periodic Flows in Distributed Systems. | Shengwen Zhou, Jing Shao, Jiawei Huang |
| 2025 | ACL | VLSBench: Unveiling Visual Leakage in Multimodal Safety. | Xuhao Hu, Dongrui Liu, Hao Li, Xuanjing Huang, Jing Shao |
| 2025 | ACL | LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint. | Qianli Ma, Dongrui Liu, Qian Chen, Linfeng Zhang, Jing Shao |
| 2025 | ACL | The Tug of War Within: Mitigating the Fairness-Privacy Conflicts in Large Language Models. | Chen Qian, Dongrui Liu, Jie Zhang, Yong Liu, Jing Shao |
| 2025 | ACL | LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts. | Qibing Ren, Hao Li, Dongrui Liu, Zhanxu Xie, Xiaoya Lu, Yu Qiao, Lei Sha, Junchi Yan, Lizhuang Ma, Jing Shao |
| 2025 | ACL | EvoBench: Towards Real-world LLM-Generated Text Detection Benchmarking for Evolving Large Language Models. | Xiao Yu, Yi Yu, Dongrui Liu, Kejiang Chen, Weiming Zhang, Nenghai Yu, Jing Shao |
| 2025 | CVPR | T2ISafety: Benchmark for Assessing Fairness, Toxicity, and Privacy in Image Generation. | Lijun Li, Zhelun Shi, Xuhao Hu, Bowen Dong, Yiran Qin, Xihui Liu, Lu Sheng, Jing Shao |
| 2025 | CVPR | SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Models. | Yongting Zhang, Lu Chen, Guodong Zheng, Yifeng Gao, Rui Zheng, Jinlan Fu, Zhenfei Yin, Senjie Jin, Yu Qiao, Xuanjing Huang, Feng Zhao, Tao Gui, Jing Shao |
| 2025 | EMNLP | Layer-Aware Representation Filtering: Purifying Finetuning Data to Preserve LLM Safety Alignment. | Hao Li, Lijun Li, Zhenghao Lu, Xianyi Wei, Rui Li, Jing Shao, Lei Sha |
| 2025 | EMNLP | X-Boundary: Establishing Exact Safety Boundary to Shield LLMs from Jailbreak Attacks without Compromising Usability. | Xiaoya Lu, Dongrui Liu, Yi Yu, Luxin Xu, Jing Shao |
| 2025 | EMNLP | Visual Contextual Attack: Jailbreaking MLLMs with Image-Driven Context Injection. | Ziqi Miao, Yi Ding, Lijun Li, Jing Shao |
| 2025 | EMNLP | Self-adaptive Dataset Construction for Real-World Multimodal Safety Scenarios. | Jingen Qu, Lijun Li, Bo Zhang, Yichen Yan, Jing Shao |
| 2025 | EMNLP | The LLM Already Knows: Estimating LLM-Perceived Question Difficulty via Hidden Representations. | Yubo Zhu, Dongrui Liu, Zecheng Lin, Wei Tong, Sheng Zhong, Jing Shao |
| 2025 | ICLR | REEF: Representation Encoding Fingerprints for Large Language Models. | Jie Zhang, Dongrui Liu, Chen Qian, Linfeng Zhang, Yong Liu, Yu Qiao, Jing Shao |
| 2025 | ICML | MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems. | Rui Ye, Shuo Tang, Rui Ge, Yaxin Du, Zhenfei Yin, Siheng Chen, Jing Shao |
| 2025 | ICML | WorldSimBench: Towards Video Generation Models as World Simulators. | Yiran Qin, Zhelun Shi, Jiwen Yu, Xijun Wang, Enshen Zhou, Lijun Li, Zhenfei Yin, Xihui Liu, Lu Sheng, Jing Shao, Lei Bai, Ruimao Zhang |
| 2025 | ICNP | Borrow Counter: A Generic Sketch Framework for Non-uniform Flow Estimation. | Jiawei Huang, Jing Shao, Sitan Li, Zirong Wei, Shengwen Zhou, Wenlu Zhang, Yilin Zhao, Jin Ye |
| 2025 | ICNP | SplitSketch: Achieving Accurate Quantile Estimation under Highly Dynamic Traffic Distribution. | Jin Ye, Zirong Wei, Jing Shao, Huilin Hu, Sitan Li, Yilin Zhao, Jiawei Huang |
| 2025 | ICNP | Aion: A Memory-Efficient Approach for Long-Term Periodic Flow Detection. | Yilin Zhao, Jiawei Huang, Xianshi Su, Jing Shao, Yijun Li, Jiacheng Xie, Sitan Li |
| 2025 | IROS | RH20T-P: A Primitive-Level Robotic Manipulation Dataset towards Composable Generalization Agents in Real-world Scenarios. | Zeren Chen, Zhelun Shi, Xiaoya Lu, Lehan He, Sucheng Qian, Enshen Zhou, Zhenfei Yin, Wanli Ouyang, Jing Shao, Yu Qiao, Cewu Lu, Lu Sheng |
| 2025 | IROS | Chain-of-Imagination for Reliable Instruction Following in Decision Making. | Enshen Zhou, Yiran Qin, Zhenfei Yin, Zhelun Shi, Yuzhou Huang, Ruimao Zhang, Lu Sheng, Jing Shao |
| 2025 | USENIX | Accelerating Distributed Graph Learning by Using Collaborative In-Network Multicast and Aggregation. | Zhaoyi Li, Jiawei Huang, Yijun Li, Jingling Liu, Junxue Zhang, Hui Li, Xiaojun Zhu, Shengwen Zhou, Jing Shao, Xiaojuan Lu, Qichen Su, Jianxin Wang, Chee Wei Tan, Yong Cui, Kai Chen |
| 2024 | ACL | Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models. | Chen Qian, Jie Zhang, Wei Yao, Dongrui Liu, Zhenfei Yin, Yu Qiao, Yong Liu, Jing Shao |
| 2024 | ACL | SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Models. | Lijun Li, Bowen Dong, Ruohui Wang, Xuhao Hu, Wangmeng Zuo, Dahua Lin, Yu Qiao, Jing Shao |
| 2024 | ACL | CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion. | Qibing Ren, Chang Gao, Jing Shao, Junchi Yan, Xin Tan, Wai Lam, Lizhuang Ma |
| 2024 | ACL | PsySafe: A Comprehensive Framework for Psychological-based Attack, Defense, and Evaluation of Multi-agent System Safety. | Zaibin Zhang, Yongting Zhang, Lijun Li, Jing Shao, Hongzhi Gao, Yu Qiao, Lijun Wang, Huchuan Lu, Feng Zhao |
| 2024 | ACL | Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization. | Zhanhui Zhou, Jie Liu, Jing Shao, Xiangyu Yue, Chao Yang, Wanli Ouyang, Yu Qiao |
| 2024 | CVPR | MP5: A Multi-modal Open-ended Embodied System in Minecraft via Active Perception. | Yiran Qin, Enshen Zhou, Qichang Liu, Zhenfei Yin, Lu Sheng, Ruimao Zhang, Yu Qiao, Jing Shao |
| 2024 | ECCV | GTP-4o: Modality-Prompted Heterogeneous Graph Learning for Omni-Modal Biomedical Representation. | Chenxin Li, Xinyu Liu, Cheng Wang, Yifan Liu, Weihao Yu, Jing Shao, Yixuan Yuan |
| 2024 | ICDCS | D2T: Dynamic Dual Threshold Policy of Shared-Memory in Data Center Switches. | Jiawei Huang, Hui Li, Zhaoyi Li, Zihao Chen, Jingling Liu, Jing Shao, Wenlu Zhang, Yijun Li, Sitan Li, Shengwen Zhou, Ping Zhong, Jianxin Wang, Wanchun Jiang, Yong Cui |
| 2024 | ICLR | Octavius: Mitigating Task Interference in MLLMs via LoRA-MoE. | Zeren Chen, Ziqin Wang, Zhen Wang, Huayang Liu, Zhenfei Yin, Si Liu, Lu Sheng, Wanli Ouyang, Jing Shao |
| 2024 | ICPP | Achieving Efficient Scheduling based on Accurate Measurement of Small Flows in Data Center. | Jiawei Huang, Qile Wang, Zhaoyi Li, Yijun Li, Zihao Chen, Sitan Li, Jing Shao, Jingling Liu, Min Zhan, Jianxin Wang |
| 2024 | ICPP | Coupling Congestion Control and Flow Pausing in Data Center Network. | Jiawei Huang, Shengwen Zhou, Zhaoyi Li, Yijun Li, Zihao Chen, Xiaojun Zhu, Jing Shao, Sitan Li, Wanchun Jiang, Jianxin Wang, Ping Zhong |
| 2024 | IPCCC | P | Jiawei Huang, Qi Liang, Jing Shao, Qile Wang, Yilin Zhao, Hui Li, Sitan Li, Shu Lin |
| 2024 | IPCCC | PIB Sketch: Accurately Tracking Persistent and Infrequent Flows with Bursty Characteristic. | Xuetao Liu, Jing Shao, Sitan Li, Yilin Zhao, Jiawei Huang |
| 2024 | ICRA | Self Model for Embodied Intelligence: Modeling Full-Body Human Musculoskeletal System and Locomotion Control with Hierarchical Low-Dimensional Representation. | Chenhui Zuo, Kaibo He, Jing Shao, Yanan Sui |
| 2024 | MICCAI | 👦 Endora: Video Generation Models as Endoscopy Simulators. | Chenxin Li, Hengyu Liu, Yifan Liu, Brandon Y. Feng, Wuyang Li, Xinyu Liu, Zhen Chen, Jing Shao, Yixuan Yuan |
| 2024 | MOBICOM | Energy-based Active Learning for Bringing Beam-induced Domain Gap for 3D Object Detection. | Le Yang, Yixuan Yan, Jing Shao, Hao Cheng, Fan Li |
| 2024 | NAACL | Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey. | Zhichen Dong, Zhanhui Zhou, Chao Yang, Jing Shao, Yu Qiao |
| 2023 | CVPR | Siamese DETR. | Zeren Chen, Gengshi Huang, Wei Li, Jianing Teng, Kun Wang, Jing Shao, Chen Change Loy, Lu Sheng |
| 2023 | ICNP | PA-Sketch: A Fast and Accurate Sketch for Differentiated Flow Estimation. | Sitan Li, Jiawei Huang, Wenlu Zhang, Jing Shao |
| 2023 | Interspeech | Hearing Loss Affects Emotion Perception in Older Adults: Evidence from a Prosody-Semantics Stroop Task. | Yingyang Wang, Min Xu, Jing Shao, Lan Wang, Nan Yan |
| 2022 | ACL | Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction. | Yubo Ma, Zehao Wang, Yixin Cao, Mukai Li, Meiqi Chen, Kun Wang, Jing Shao |
| 2022 | ACL | MMEKG: Multi-modal Event Knowledge Graph towards Universal Representation across Modalities. | Yubo Ma, Zehao Wang, Mukai Li, Yixin Cao, Meiqi Chen, Xinze Li, Wenqi Sun, Kunquan Deng, Kun Wang, Aixin Sun, Jing Shao |
| 2022 | COLING | ERGO: Event Relational Graph Transformer for Document-level Event Causality Identification. | Meiqi Chen, Yixin Cao, Kunquan Deng, Mukai Li, Kun Wang, Jing Shao, Yan Zhang |
| 2022 | ECCV | X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation. | Yinan He, Gengshi Huang, Siyu Chen, Jianing Teng, Kun Wang, Zhenfei Yin, Lu Sheng, Ziwei Liu, Yu Qiao, Jing Shao |
| 2022 | ECCV | PalGAN: Image Colorization with Palette Generative Adversarial Networks. | Yi Wang, Menghan Xia, Lu Qi, Jing Shao, Yu Qiao |
| 2022 | ECCV | Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies. | Xingrun Xing, Yangguang Li, Wei Li, Wenrui Ding, Yalong Jiang, Yufeng Wang, Jing Shao, Chunlei Liu, Xianglong Liu |
| 2022 | ECCV | Benchmarking Omni-Vision Representation Through the Lens of Visual Realms. | Yuanhan Zhang, Zhenfei Yin, Jing Shao, Ziwei Liu |
| 2022 | EMNLP | R2F: A General Retrieval, Reading and Fusion Framework for Document-level Natural Language Inference. | Hao Wang, Yixin Cao, Yangguang Li, Zhen Huang, Kun Wang, Jing Shao |
| 2022 | ICLR | Supervision Exists Everywhere: A Data Efficient Contrastive Language-Image Pre-training Paradigm. | Yangguang Li, Feng Liang, Lichen Zhao, Yufeng Cui, Wanli Ouyang, Jing Shao, Fengwei Yu, Junjie Yan |
| 2022 | IJCAI | RePre: Improving Self-Supervised Vision Transformer with Reconstructive Pre-training. | Luya Wang, Feng Liang, Yangguang Li, Honggang Zhang, Wanli Ouyang, Jing Shao |
| 2022 | Interspeech | Revisiting visuo-spatial processing in individuals with congenital amusia. | Zixia Fan, Jing Shao, Weigong Pan, Lan Wang |
| 2022 | Interspeech | The effect of backward noise on lexical tone discrimination in Mandarin-speaking amusics. | Zixia Fan, Jing Shao, Weigong Pan, Min Xu, Lan Wang |
| 2021 | CVPR | ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis. | Yinan He, Bei Gan, Siyu Chen, Yichun Zhou, Guojun Yin, Luchuan Song, Lu Sheng, Jing Shao, Ziwei Liu |
| 2021 | CVPR | Actor-Context-Actor Relation Network for Spatio-Temporal Action Localization. | Junting Pan, Siyu Chen, Mike Zheng Shou, Yu Liu, Jing Shao, Hongsheng Li |
| 2021 | GLOBECOM | Convoy_DTN: A Security Interaction Engine Design For Digital Twin Network. | Meiling Chen, Jing Shao, Sixu Guo, Li Su, Haitao Du |
| 2021 | Interspeech | Effects of Aging and Age-Related Hearing Loss on Talker Discrimination. | Min Xu, Jing Shao, Lan Wang |
| 2020 | AAAI | Morphing and Sampling Network for Dense Point Cloud Completion. | Minghua Liu, Lu Sheng, Sheng Yang, Jing Shao, Shi-Min Hu |
| 2020 | ECCV | Thinking in Frequency: Face Forgery Detection by Mining Frequency-Aware Clues. | Yuyang Qian, Guojun Yin, Lu Sheng, Zixuan Chen, Jing Shao |
| 2020 | ECCV | Learning Connectivity of Neural Networks from a Topological Perspective. | Kun Yuan, Quanquan Li, Jing Shao, Junjie Yan |
| 2020 | ECCV | CelebA-Spoof: Large-Scale Face Anti-spoofing Dataset with Rich Annotations. | Yuanhan Zhang, Zhenfei Yin, Yidong Li, Guojun Yin, Junjie Yan, Jing Shao, Ziwei Liu |
| 2019 | CVPR | Improving Referring Expression Grounding With Cross-Modal Attention-Guided Erasing. | Xihui Liu, Zihao Wang, Jing Shao, Xiaogang Wang, Hongsheng Li |
| 2019 | CVPR | Video Generation From Single Semantic Label Map. | Junting Pan, Chengyu Wang, Xu Jia, Jing Shao, Lu Sheng, Junjie Yan, Xiaogang Wang |
| 2019 | CVPR | Semantics Disentangling for Text-To-Image Generation. | Guojun Yin, Bin Liu, Lu Sheng, Nenghai Yu, Xiaogang Wang, Jing Shao |
| 2019 | CVPR | Context and Attribute Grounded Dense Captioning. | Guojun Yin, Lu Sheng, Bin Liu, Nenghai Yu, Xiaogang Wang, Jing Shao |
| 2019 | ICCV | CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval. | Zihao Wang, Xihui Liu, Hongsheng Li, Lu Sheng, Junjie Yan, Xiaogang Wang, Jing Shao |
| 2018 | BMVC | Localization Guided Learning for Pedestrian Attribute Recognition. | Pengze Liu, Xihui Liu, Junjie Yan, Jing Shao |
| 2018 | CVPR | Exploring Disentangled Feature Representation Beyond Face Identification. | Yu Liu, Fangyin Wei, Jing Shao, Lu Sheng, Junjie Yan, Xiaogang Wang |
| 2018 | CVPR | Avatar-Net: Multi-Scale Zero-Shot Style Transfer by Feature Decoration. | Lu Sheng, Ziyi Lin, Jing Shao, Xiaogang Wang |
| 2018 | CVPR | Practical Block-Wise Neural Network Architecture Generation. | Zhao Zhong, Junjie Yan, Wei Wu, Jing Shao, Cheng-Lin Liu |
| 2018 | ECCV | Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association. | Dapeng Chen, Hongsheng Li, Xihui Liu, Yantao Shen, Jing Shao, Zejian Yuan, Xiaogang Wang |
| 2018 | ECCV | Show, Tell and Discriminate: Image Captioning by Self-retrieval with Partially Labeled Data. | Xihui Liu, Hongsheng Li, Jing Shao, Dapeng Chen, Xiaogang Wang |
| 2018 | ECCV | Transductive Centroid Projection for Semi-supervised Large-Scale Recognition. | Yu Liu, Guanglu Song, Jing Shao, Xiao Jin, Xiaogang Wang |
| 2018 | ECCV | Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition. | Guojun Yin, Lu Sheng, Bin Liu, Nenghai Yu, Xiaogang Wang, Jing Shao, Chen Change Loy |
| 2017 | CogSci | Impaired phonological processing of lexical tones in Cantonese speakers with congenital amusia. | Jing Shao, Xunan Huang, Caicai Zhang |
| 2017 | CogSci | The role of talker similarity in the perceptual learning of L2 tone categories. | Jing Shao, Joanna Chor Yan Mak, Caicai Zhang |
| 2017 | CVPR | Spindle Net: Person Re-identification with Human Body Region Guided Feature Decomposition and Fusion. | Haiyu Zhao, Maoqing Tian, Shuyang Sun, Jing Shao, Junjie Yan, Shuai Yi, Xiaogang Wang, Xiaoou Tang |
| 2017 | ICCV | HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis. | Xihui Liu, Haiyu Zhao, Maoqing Tian, Lu Sheng, Jing Shao, Shuai Yi, Junjie Yan, Xiaogang Wang |
| 2017 | ICCV | Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification. | Zhongdao Wang, Luming Tang, Xihui Liu, Zhuliang Yao, Shuai Yi, Jing Shao, Junjie Yan, Shengjin Wang, Hongsheng Li, Xiaogang Wang |
| 2016 | CVPR | Slicing Convolutional Neural Network for Crowd Video Understanding. | Jing Shao, Chen Change Loy, Kai Kang, Xiaogang Wang |
| 2016 | Interspeech | Effect of Noise on Lexical Tone Perception in Cantonese-Speaking Amusics. | Jing Shao, Caicai Zhang, Gang Peng, Yike Yang, William S.-Y. Wang |
| 2016 | TrustCom | Application of Modified BLP Model on Mobile Web Operating System. | Dali Zhu, Ying Yang, Hao Jin, Jing Shao, Weimiao Feng |
| 2015 | ACSSC | Mitigation of fiber linear and nonlinear effects in coherent optical communication systems. | Xiaojun Liang, Shiva Kumar, Jing Shao |
| 2015 | CVPR | Deeply learned attributes for crowded scene understanding. | Jing Shao, Kai Kang, Chen Change Loy, Xiaogang Wang |
| 2015 | IGARSS | A multi-objective optimization approach for sustainable ecological protected areas planning. | Jing Shao, Lina Yang, Ling Peng, Tianhe Chi, Xiaojun She, Renhui Zhao |
| 2014 | CVPR | Scene-Independent Group Profiling in Crowd. | Jing Shao, Chen Change Loy, Xiaogang Wang |
| 2013 | ICNC | Field target threat assessment based on saliency measurement. | Jing Shao, Fang Wang, Hairui Zhou |
| 2012 | KDD | Compression-aware I/O performance analysis for big data clustering. | Zhenghua Xue, Geng Shen, Jianhui Li, Qian Xu, Yang Zhang, Jing Shao |
| 2008 | ICNC | Research on Synergetic Perception of Ambiguous and Multivocal Model. | Jing Shao, Jun Gao, Xudong Zhang, Zhao Xie |